From cdaa0f343e206a9640c287dde5e482fb9ebe6b03 Mon Sep 17 00:00:00 2001
From: Andi Buzer <78602630+AndiBuzer@users.noreply.github.com>
Date: Tue, 14 May 2024 17:11:22 +0200
Subject: [PATCH] Formatted all crm notebooks

---
 CRM/Customer Churn Prediction/notebook.ipynb  | 7443 ++++++-------
 .../notebook.ipynb                            | 9095 ++++++++--------
 .../notebook.ipynb                            | 7107 ++++++-------
 .../notebook.ipynb                            | 9307 +++++++++--------
 4 files changed, 16681 insertions(+), 16271 deletions(-)

diff --git a/CRM/Customer Churn Prediction/notebook.ipynb b/CRM/Customer Churn Prediction/notebook.ipynb
index 66c2bfa..a8f8129 100644
--- a/CRM/Customer Churn Prediction/notebook.ipynb	
+++ b/CRM/Customer Churn Prediction/notebook.ipynb	
@@ -1,3600 +1,3849 @@
 {
-    "cells": [{
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {
-                "include": true,
-                "paragraph": "BusinessUnderstanding"
-            },
-            "source": [
-                "# 1. Business Understanding\n",
-                "\n",
-                "Test Input Kundenabwanderung ist die Entscheidung eines Kunden, eine bestimmte Unternehmensdienstleistung nicht mehr zu kaufen. Sie stellt somit das Gegenstück zur langfristigen Kundenbindung dar. Um die Kundenbindung zu fördern, müssen Unternehmen Analysen einsetzen, die frühzeitig erkennen, ob ein Kunde das Unternehmen verlassen will. So können Marketing- und Vertriebsmaßnahmen eingeleitet werden, bevor es zum eigentlichen Kundenverlust kommt. In diesem Zusammenhang beantwortet der Service konkret diese beiden Fragen: Wie hoch ist die Wahrscheinlichkeit, dass anhand historischer Daten vorhergesagt werden kann, ob ein Kunde zu einem anderen Anbieter abwandert? Welche Faktoren führen zur Kundenabwanderung?"
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {
-                "include": true,
-                "paragraph": "DataUnderstanding"
-            },
-            "source": [
-                "# 2. Daten und Datenverständnis\n",
-                "\n",
-                "Zur Visualisierung und Implementierung des Dienstes wird der Datensatz eines fiktiven Telekommunikationsunternehmens verwendet. Dieser besteht aus 7.043 Zeilen. Jede Zeile beschreibt einen Kunden mit 21 Spalten. Jede Spalte definiert verschiedene Merkmale (Attribute) der Kunden. Anhand der Daten soll klassifiziert werden, ob ein Kunde das Unternehmen verlässt oder nicht. Zu diesem Zweck enthalten die historischen Daten die Zielvariable \"Churn\", die Auskunft darüber gibt, ob ein Kunde abgewandert ist oder nicht.ot."
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "## 2.1. Import von relevanten Modulen"
-            ]
-        }, {
-            "cell_type": "code",
-            "execution_count": 141,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "import pandas as pd\n",
-                "import numpy as np\n",
-                "import matplotlib.pyplot as plt\n",
-                "import seaborn as sns\n",
-                "import statsmodels.api as sm\n",
-                "import warnings\n",
-                "import imblearn\n",
-                "from statsmodels.stats.outliers_influence import variance_inflation_factor\n",
-                "from sklearn.preprocessing import StandardScaler\n",
-                "from sklearn.linear_model import LogisticRegression\n",
-                "from imblearn.under_sampling import InstanceHardnessThreshold\n",
-                "from sklearn import metrics\n",
-                "from sklearn.metrics import classification_report, confusion_matrix\n",
-                "from sklearn.model_selection import train_test_split\n",
-                "sns.set()\n",
-                "# remove warnings\n",
-                "warnings.filterwarnings('ignore')"
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "## 2.2. Daten einlesen"
-            ]
-        }, {
-            "cell_type": "code",
-            "execution_count": 142,
-            "metadata": {},
-            "outputs": [{
-                    "data": {
-                        "text/html": [
-                            "<div>\n",
-                            "<style scoped>\n",
-                            "    .dataframe tbody tr th:only-of-type {\n",
-                            "        vertical-align: middle;\n",
-                            "    }\n",
-                            "\n",
-                            "    .dataframe tbody tr th {\n",
-                            "        vertical-align: top;\n",
-                            "    }\n",
-                            "\n",
-                            "    .dataframe thead th {\n",
-                            "        text-align: right;\n",
-                            "    }\n",
-                            "</style>\n",
-                            "<table border=\"1\" class=\"dataframe\">\n",
-                            "  <thead>\n",
-                            "    <tr style=\"text-align: right;\">\n",
-                            "      <th></th>\n",
-                            "      <th>customerID</th>\n",
-                            "      <th>gender</th>\n",
-                            "      <th>SeniorCitizen</th>\n",
-                            "      <th>Partner</th>\n",
-                            "      <th>Dependents</th>\n",
-                            "      <th>tenure</th>\n",
-                            "      <th>PhoneService</th>\n",
-                            "      <th>MultipleLines</th>\n",
-                            "      <th>InternetService</th>\n",
-                            "      <th>OnlineSecurity</th>\n",
-                            "      <th>...</th>\n",
-                            "      <th>DeviceProtection</th>\n",
-                            "      <th>TechSupport</th>\n",
-                            "      <th>StreamingTV</th>\n",
-                            "      <th>StreamingMovies</th>\n",
-                            "      <th>Contract</th>\n",
-                            "      <th>PaperlessBilling</th>\n",
-                            "      <th>PaymentMethod</th>\n",
-                            "      <th>MonthlyCharges</th>\n",
-                            "      <th>TotalCharges</th>\n",
-                            "      <th>Churn</th>\n",
-                            "    </tr>\n",
-                            "  </thead>\n",
-                            "  <tbody>\n",
-                            "    <tr>\n",
-                            "      <th>0</th>\n",
-                            "      <td>7590-VHVEG</td>\n",
-                            "      <td>Female</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>Yes</td>\n",
-                            "      <td>No</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>No</td>\n",
-                            "      <td>No phone service</td>\n",
-                            "      <td>DSL</td>\n",
-                            "      <td>No</td>\n",
-                            "      <td>...</td>\n",
-                            "      <td>No</td>\n",
-                            "      <td>No</td>\n",
-                            "      <td>No</td>\n",
-                            "      <td>No</td>\n",
-                            "      <td>Month-to-month</td>\n",
-                            "      <td>Yes</td>\n",
-                            "      <td>Electronic check</td>\n",
-                            "      <td>29.85</td>\n",
-                            "      <td>29.85</td>\n",
-                            "      <td>No</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>1</th>\n",
-                            "      <td>5575-GNVDE</td>\n",
-                            "      <td>Male</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>No</td>\n",
-                            "      <td>No</td>\n",
-                            "      <td>34</td>\n",
-                            "      <td>Yes</td>\n",
-                            "      <td>No</td>\n",
-                            "      <td>DSL</td>\n",
-                            "      <td>Yes</td>\n",
-                            "      <td>...</td>\n",
-                            "      <td>Yes</td>\n",
-                            "      <td>No</td>\n",
-                            "      <td>No</td>\n",
-                            "      <td>No</td>\n",
-                            "      <td>One year</td>\n",
-                            "      <td>No</td>\n",
-                            "      <td>Mailed check</td>\n",
-                            "      <td>56.95</td>\n",
-                            "      <td>1889.5</td>\n",
-                            "      <td>No</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>2</th>\n",
-                            "      <td>3668-QPYBK</td>\n",
-                            "      <td>Male</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>No</td>\n",
-                            "      <td>No</td>\n",
-                            "      <td>2</td>\n",
-                            "      <td>Yes</td>\n",
-                            "      <td>No</td>\n",
-                            "      <td>DSL</td>\n",
-                            "      <td>Yes</td>\n",
-                            "      <td>...</td>\n",
-                            "      <td>No</td>\n",
-                            "      <td>No</td>\n",
-                            "      <td>No</td>\n",
-                            "      <td>No</td>\n",
-                            "      <td>Month-to-month</td>\n",
-                            "      <td>Yes</td>\n",
-                            "      <td>Mailed check</td>\n",
-                            "      <td>53.85</td>\n",
-                            "      <td>108.15</td>\n",
-                            "      <td>Yes</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>3</th>\n",
-                            "      <td>7795-CFOCW</td>\n",
-                            "      <td>Male</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>No</td>\n",
-                            "      <td>No</td>\n",
-                            "      <td>45</td>\n",
-                            "      <td>No</td>\n",
-                            "      <td>No phone service</td>\n",
-                            "      <td>DSL</td>\n",
-                            "      <td>Yes</td>\n",
-                            "      <td>...</td>\n",
-                            "      <td>Yes</td>\n",
-                            "      <td>Yes</td>\n",
-                            "      <td>No</td>\n",
-                            "      <td>No</td>\n",
-                            "      <td>One year</td>\n",
-                            "      <td>No</td>\n",
-                            "      <td>Bank transfer (automatic)</td>\n",
-                            "      <td>42.30</td>\n",
-                            "      <td>1840.75</td>\n",
-                            "      <td>No</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>4</th>\n",
-                            "      <td>9237-HQITU</td>\n",
-                            "      <td>Female</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>No</td>\n",
-                            "      <td>No</td>\n",
-                            "      <td>2</td>\n",
-                            "      <td>Yes</td>\n",
-                            "      <td>No</td>\n",
-                            "      <td>Fiber optic</td>\n",
-                            "      <td>No</td>\n",
-                            "      <td>...</td>\n",
-                            "      <td>No</td>\n",
-                            "      <td>No</td>\n",
-                            "      <td>No</td>\n",
-                            "      <td>No</td>\n",
-                            "      <td>Month-to-month</td>\n",
-                            "      <td>Yes</td>\n",
-                            "      <td>Electronic check</td>\n",
-                            "      <td>70.70</td>\n",
-                            "      <td>151.65</td>\n",
-                            "      <td>Yes</td>\n",
-                            "    </tr>\n",
-                            "  </tbody>\n",
-                            "</table>\n",
-                            "<p>5 rows × 21 columns</p>\n",
-                            "</div>"
-                        ],
-                        "text/plain": [
-                            "   customerID  gender  SeniorCitizen Partner Dependents  tenure PhoneService  \\\n",
-                            "0  7590-VHVEG  Female              0     Yes         No       1           No   \n",
-                            "1  5575-GNVDE    Male              0      No         No      34          Yes   \n",
-                            "2  3668-QPYBK    Male              0      No         No       2          Yes   \n",
-                            "3  7795-CFOCW    Male              0      No         No      45           No   \n",
-                            "4  9237-HQITU  Female              0      No         No       2          Yes   \n",
-                            "\n",
-                            "      MultipleLines InternetService OnlineSecurity  ... DeviceProtection  \\\n",
-                            "0  No phone service             DSL             No  ...               No   \n",
-                            "1                No             DSL            Yes  ...              Yes   \n",
-                            "2                No             DSL            Yes  ...               No   \n",
-                            "3  No phone service             DSL            Yes  ...              Yes   \n",
-                            "4                No     Fiber optic             No  ...               No   \n",
-                            "\n",
-                            "  TechSupport StreamingTV StreamingMovies        Contract PaperlessBilling  \\\n",
-                            "0          No          No              No  Month-to-month              Yes   \n",
-                            "1          No          No              No        One year               No   \n",
-                            "2          No          No              No  Month-to-month              Yes   \n",
-                            "3         Yes          No              No        One year               No   \n",
-                            "4          No          No              No  Month-to-month              Yes   \n",
-                            "\n",
-                            "               PaymentMethod MonthlyCharges  TotalCharges Churn  \n",
-                            "0           Electronic check          29.85         29.85    No  \n",
-                            "1               Mailed check          56.95        1889.5    No  \n",
-                            "2               Mailed check          53.85        108.15   Yes  \n",
-                            "3  Bank transfer (automatic)          42.30       1840.75    No  \n",
-                            "4           Electronic check          70.70        151.65   Yes  \n",
-                            "\n",
-                            "[5 rows x 21 columns]"
-                        ]
-                    },
-                    "execution_count": 142,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                }
-            ],
-            "source": [
-                "data_raw = pd.read_csv(\"https://storage.googleapis.com/ml-service-repository-datastorage/Customer_Churn_Prediction_data.csv\")\n",
-                "data_raw.head()"
-            ]
-        }, {
-            "cell_type": "code",
-            "execution_count": 143,
-            "metadata": {},
-            "outputs": [{
-                    "name": "stdout",
-                    "output_type": "stream",
-                    "text": [
-                        "<class 'pandas.core.frame.DataFrame'>\n",
-                        "RangeIndex: 7043 entries, 0 to 7042\n",
-                        "Data columns (total 21 columns):\n",
-                        " #   Column            Non-Null Count  Dtype  \n",
-                        "---  ------            --------------  -----  \n",
-                        " 0   customerID        7043 non-null   object \n",
-                        " 1   gender            7043 non-null   object \n",
-                        " 2   SeniorCitizen     7043 non-null   int64  \n",
-                        " 3   Partner           7043 non-null   object \n",
-                        " 4   Dependents        7043 non-null   object \n",
-                        " 5   tenure            7043 non-null   int64  \n",
-                        " 6   PhoneService      7043 non-null   object \n",
-                        " 7   MultipleLines     7043 non-null   object \n",
-                        " 8   InternetService   7043 non-null   object \n",
-                        " 9   OnlineSecurity    7043 non-null   object \n",
-                        " 10  OnlineBackup      7043 non-null   object \n",
-                        " 11  DeviceProtection  7043 non-null   object \n",
-                        " 12  TechSupport       7043 non-null   object \n",
-                        " 13  StreamingTV       7043 non-null   object \n",
-                        " 14  StreamingMovies   7043 non-null   object \n",
-                        " 15  Contract          7043 non-null   object \n",
-                        " 16  PaperlessBilling  7043 non-null   object \n",
-                        " 17  PaymentMethod     7043 non-null   object \n",
-                        " 18  MonthlyCharges    7043 non-null   float64\n",
-                        " 19  TotalCharges      7043 non-null   object \n",
-                        " 20  Churn             7043 non-null   object \n",
-                        "dtypes: float64(1), int64(2), object(18)\n",
-                        "memory usage: 1.1+ MB\n"
-                    ]
-                }
-            ],
-            "source": [
-                "data_raw.info()"
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {
-                "include": true,
-                "paragraph": "DataUnderstanding"
-            },
-            "source": [
-                "Der Datensatz besteht aus 7.043 Zeilen und 21 Attributen:\n",
-                "\n",
-                "- Zu prognostizierendes Attribut: Abwanderung\n",
-                "- Numerische Attribute: Vertragsdauer, Monatsgebühren und Gesamtgebühren.\n",
-                "- Kategorische Attribute: CustomerID, Gender, SeniorCitizen, Partner, Angehörige, PhoneService, MultipleLines, InternetService, OnlineSecurity, OnlineBackup, DeviceProtection, TechSupport, StreamingTV, StreamingMovies, Contract, PaperlessBilling, PaymentMethod.\n",
-                "Es wurden nicht alle Datentypen korrekt eingelesen:\n",
-                "\n",
-                "- TotalCharges muss ein numerischer Wert sein -> in Float umwandeln\n"
-            ]
-        }, {
-            "cell_type": "code",
-            "execution_count": 144,
-            "metadata": {},
-            "outputs": [{
-                    "data": {
-                        "text/html": [
-                            "<div>\n",
-                            "<style scoped>\n",
-                            "    .dataframe tbody tr th:only-of-type {\n",
-                            "        vertical-align: middle;\n",
-                            "    }\n",
-                            "\n",
-                            "    .dataframe tbody tr th {\n",
-                            "        vertical-align: top;\n",
-                            "    }\n",
-                            "\n",
-                            "    .dataframe thead th {\n",
-                            "        text-align: right;\n",
-                            "    }\n",
-                            "</style>\n",
-                            "<table border=\"1\" class=\"dataframe\">\n",
-                            "  <thead>\n",
-                            "    <tr style=\"text-align: right;\">\n",
-                            "      <th></th>\n",
-                            "      <th>customerID</th>\n",
-                            "      <th>gender</th>\n",
-                            "      <th>SeniorCitizen</th>\n",
-                            "      <th>Partner</th>\n",
-                            "      <th>Dependents</th>\n",
-                            "      <th>tenure</th>\n",
-                            "      <th>PhoneService</th>\n",
-                            "      <th>MultipleLines</th>\n",
-                            "      <th>InternetService</th>\n",
-                            "      <th>OnlineSecurity</th>\n",
-                            "      <th>...</th>\n",
-                            "      <th>DeviceProtection</th>\n",
-                            "      <th>TechSupport</th>\n",
-                            "      <th>StreamingTV</th>\n",
-                            "      <th>StreamingMovies</th>\n",
-                            "      <th>Contract</th>\n",
-                            "      <th>PaperlessBilling</th>\n",
-                            "      <th>PaymentMethod</th>\n",
-                            "      <th>MonthlyCharges</th>\n",
-                            "      <th>TotalCharges</th>\n",
-                            "      <th>Churn</th>\n",
-                            "    </tr>\n",
-                            "  </thead>\n",
-                            "  <tbody>\n",
-                            "  </tbody>\n",
-                            "</table>\n",
-                            "<p>0 rows × 21 columns</p>\n",
-                            "</div>"
-                        ],
-                        "text/plain": [
-                            "Empty DataFrame\n",
-                            "Columns: [customerID, gender, SeniorCitizen, Partner, Dependents, tenure, PhoneService, MultipleLines, InternetService, OnlineSecurity, OnlineBackup, DeviceProtection, TechSupport, StreamingTV, StreamingMovies, Contract, PaperlessBilling, PaymentMethod, MonthlyCharges, TotalCharges, Churn]\n",
-                            "Index: []\n",
-                            "\n",
-                            "[0 rows x 21 columns]"
-                        ]
-                    },
-                    "execution_count": 144,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                }
-            ],
-            "source": [
-                "# test for duplicates\n",
-                "data_raw[data_raw.duplicated(keep=False)]"
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "Keine Duplikate im Datensatz"
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "## 2.3. Datenbereinigung"
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "Hier sollten die ersten Lesefehler korrigiert werden, bevor die eigentliche Datenaufbereitung erfolgt."
-            ]
-        }, {
-            "cell_type": "code",
-            "execution_count": 145,
-            "metadata": {},
-            "outputs": [{
-                    "name": "stdout",
-                    "output_type": "stream",
-                    "text": [
-                        "<class 'pandas.core.frame.DataFrame'>\n",
-                        "RangeIndex: 7043 entries, 0 to 7042\n",
-                        "Data columns (total 21 columns):\n",
-                        " #   Column            Non-Null Count  Dtype  \n",
-                        "---  ------            --------------  -----  \n",
-                        " 0   customerID        7043 non-null   object \n",
-                        " 1   gender            7043 non-null   object \n",
-                        " 2   SeniorCitizen     7043 non-null   int64  \n",
-                        " 3   Partner           7043 non-null   object \n",
-                        " 4   Dependents        7043 non-null   object \n",
-                        " 5   tenure            7043 non-null   int64  \n",
-                        " 6   PhoneService      7043 non-null   object \n",
-                        " 7   MultipleLines     7043 non-null   object \n",
-                        " 8   InternetService   7043 non-null   object \n",
-                        " 9   OnlineSecurity    7043 non-null   object \n",
-                        " 10  OnlineBackup      7043 non-null   object \n",
-                        " 11  DeviceProtection  7043 non-null   object \n",
-                        " 12  TechSupport       7043 non-null   object \n",
-                        " 13  StreamingTV       7043 non-null   object \n",
-                        " 14  StreamingMovies   7043 non-null   object \n",
-                        " 15  Contract          7043 non-null   object \n",
-                        " 16  PaperlessBilling  7043 non-null   object \n",
-                        " 17  PaymentMethod     7043 non-null   object \n",
-                        " 18  MonthlyCharges    7043 non-null   float64\n",
-                        " 19  TotalCharges      7032 non-null   float64\n",
-                        " 20  Churn             7043 non-null   object \n",
-                        "dtypes: float64(2), int64(2), object(17)\n",
-                        "memory usage: 1.1+ MB\n"
-                    ]
-                }
-            ],
-            "source": [
-                "# convert total charges\n",
-                "data_raw['TotalCharges'] = pd.to_numeric(data_raw['TotalCharges'], errors='coerce')\n",
-                "data_raw.info()"
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "Die Konvertierung der TotalCharges hat zu Nullwerten geführt. Diese Nullwerte müssen korrigiert werden."
-            ]
-        }, {
-            "cell_type": "code",
-            "execution_count": 146,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "# Remove zero values\n",
-                "# axis = 0 rows / axis = 1 columns\n",
-                "data_no_mv = data_raw.dropna(axis=0)"
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "## 2.4. Deskriptive Analytik"
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "In diesem Teil des Notebooks soll das Datenverständnis mit Hilfe der deskriptiven Analytik berücksichtigt werden. Nach dem Entfernen der Nullwerte besteht der Datensatz aus 7032 Zeilen, von denen jeweils eine einen Kunden beschreibt, und 21 Spalten, die die Attribute des Kunden definieren. Mit Hilfe dieser Daten soll versucht werden, zu klassifizieren, ob ein Kunde abwandert oder nicht. Zu diesem Zweck enthalten die historischen Daten die Zielvariable \"Churn\", die Auskunft darüber gibt, ob ein Kunde abgewandert ist.\n"
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "## 2.4.1. Kontinuierliche Merkmale"
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "Zunächst werden die Verteilungen der kontinuierlichen Merkmale einzeln untersucht und in einem zweiten Schritt die kategorialen Merkmale in Zusammenhang mit der Zielvariablen gesetzt."
-            ]
-        }, {
-            "cell_type": "code",
-            "execution_count": 147,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "# load continous features\n",
-                "numeric_data = data_no_mv.select_dtypes(include=[np.number])"
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "### Besitz"
-            ]
-        }, {
-            "cell_type": "code",
-            "execution_count": 148,
-            "metadata": {},
-            "outputs": [{
-                    "data": {
-                        "text/plain": [
-                            "<seaborn.axisgrid.FacetGrid at 0x23e942418e0>"
-                        ]
-                    },
-                    "execution_count": 148,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                }, {
-                    "data": {
-                        "image/png": 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",
-                        "text/plain": [
-                            "<Figure size 360x360 with 1 Axes>"
-                        ]
-                    },
-                    "metadata": {},
-                    "output_type": "display_data"
-                }
-            ],
-            "source": [
-                "sns.displot(numeric_data[\"tenure\"])"
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "- Keine Normalverteilung erkennbar.\n",
-                "- Keine Ausreißer erkennbar.\n",
-                "- Kunden sind potentiell gleichmäßig über die einzelnen Monate verteilt, aber eine große Anzahl von Kunden ist noch nicht lange im Unternehmen.\n"
-            ]
-        }, {
-            "cell_type": "code",
-            "execution_count": 149,
-            "metadata": {},
-            "outputs": [{
-                    "data": {
-                        "text/plain": [
-                            "<AxesSubplot:xlabel='tenure', ylabel='Density'>"
-                        ]
-                    },
-                    "execution_count": 149,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                }, {
-                    "data": {
-                        "image/png": 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qPUVRWL9+fdACE5U2bao8oQ8Z0nDf/i+5xM+qVUYKCqB16wbbrRCimapTosjIyGDt2rUyjUcT2LxZT5s20KlTw90k16+fyqpVsH27TOkhhKhdnbqeEhMTJUk0AU2rbFGkpNCg027ExGh07Fh5T4UQQtSmTi2KoUOH8uSTT3LVVVdhsViq3u/Tp0/QAhNw5IjC8eM6zniCbINJTvaTkWEkN1chLk6m9BBC1KxOiWL58uUArF69uuo9GaMIvs2bK7/xX355w++7Xz8/H35YefVTaqrcqi2EqFmdEsVnn30W7DjEWWzbpic8XKN3b4X8/Ibdd2QkdOmism2bjlGjGrZrSwjRvNRpjKK8vJy//vWvTJ06laKiIubNm0e53LEVdNu360lK8tf6bOxzdcklKg6HTh6TKoQIqE6noPnz5xMREUF+fj5ms5mysjLmzZsX7NhaNK8Xdu2qfOxpsPTt60en02RQWwgRUJ0SRVZWFjNmzMBgMGC1Wlm4cCFZWVnBjq1F27NHh8ejkJwcvMtXw8Iq53/atk2PJuPZQoga1ClR6P6n78Pv9//iPdGwtm+v/JZfn+djn4tLLvFTVKRw5Ih0Pwkhzq5OZ/tLL72Up556CrfbzVdffcXvf/97Bg8eXOt2K1euZMyYMYwaNYrFixf/ojwrK4v09HRSU1OZM2cOvpMPSti6dSvp6emkpaVxzz33UFxcXM9qXfi2b9cRGak16I12Z9Onj4rBoMmUHkKIGtUpUTz00EPYbDYiIiJ45pln6NmzJw8//HDAbXJycli0aBFLlixhxYoVvPvuu+zfv7/aOjNnzmTevHmsWbMGTdNYunQpAI888ghPPvkkK1eupFu3brz++uvnWL0L1/btevr1C95A9ikWC/TurbJ9uzzQSAhxdrWehtatW8fkyZN57bXXOHbsGBEREfTv3x+z2Rxwu40bNzJkyBCio6Ox2WykpqZWuw8jOzsbt9tNcnIyAOnp6VXlq1atolu3bni9XnJycoiMjDyPKl54PB744Qdd0LudTklO9lNaqrBli3Q/CSF+KeB9FJ988gmLFi1i+vTp9OzZE0VR2LlzJ3//+9/xeDyMGjWqxm1zc3Ox2+1Vy3FxcezYsaPGcrvdTk5ODgBGo5G9e/fyq1/9CoPBwIMPPlivSsXEhNdr/VCTmVl51VNKihm7vTIh2+0RADidEBHRsMe79FJYuhTWrjVx552mht15AzhV95aopda9pdYbQrPuARPFW2+9xZtvvkmbNm2q3uvatSv9+vVj9uzZAROFqqooZ9zFpWlateXayi+66CI2btzIO++8w4wZM3jnnXfqXKn8/DJU9cK9jGfDBiNgoVOnMhwODbs9AoejFACn00RpacPXrU8fI598oiM7uwxTCOWKM+ve0rTUurfUekPT1V2nUwJ+wQ7Y9VReXl4tSZzSuXNnPB5PwAMnJCTgcDiqlh0OB3FxcTWW5+XlERcXh8fj4dNPP616//rrr2fv3r0Bj9XcbN+uIzpao2PHxkt2ycl+SkoUPv9cBrWFENUFTBR6fc0nDa2WC++HDRvGpk2bKCgowOVysXbtWlLOmN2ubdu2mM1mMjMzgcqpzFNSUjAYDDz66KPs2rULqOz+6t+/f50r1Bxs21Y5kN2Y02r06KESFaXxwQfGxjuoEOKCUKe5ns5FfHw8M2bMYMqUKXi9XiZMmEBSUhLTpk1j+vTp9O3bl4ULFzJ37lzKysro06cPU6ZMQa/Xs2jRIubNm4ff7yc+Pp6///3vwQoz5LjdkJWl4957Kxr1uHo9jBql8vHHBpxOsNka9fBCiBCmaAGaBr179642rfgpmqZRUVHBDz/8ENTgztWFPEbx3Xc6Ro8O49//djF2bOX1qmf2W+blmVi1Kjh1i43VcccdJl591cW4caFxraz0V7e8urfUekPojlEEbFGsW7euwQMSgTXWHdlnM2CARny8yvLlhpBJFELUl0VXhs7f8CdbVR+BW72wr6g8VwETRdu2bRsrDnHS9u06YmJU2rVr/BaRXg/jx/t44w0jxcUQFdXoIQhx3nT+UtTs1bWvWN/9th0NSstMFDJhU4ipHMhWm+z5EBMmeKmoUFi+XAa1hRCVJFGEEJcL9u7VBXXG2NokJalcfLGft9+WRCGEqCSJIoT88IMOv18hKSl4z6CojaLA7bd72blTz44d8t9DCCGJIqScGshuyhYFwI03erFYNGlVCCEASRQhZds2PXa7SmJi017aGxUFaWk+3n/fiNPZpKEIIUKAJIoQsn27juTkphvIPtPtt3spLVVYuTJo92QKIS4QkihCRHk5/Phj400tXpshQ/x06aKyeLF0PwnR0kmiCBG7dulRVSVkEoWiwG23edm82cDevfLfRIiWTM4AIWL79sqPol+/prvi6X/demvloPa//iWtCiFaMkkUIWLbNj0JCSoJCaEzR1VsrMbNN3tZutSIwxECAydCiCYhiSJEVA5kh0a305l+8xsvHo/Cm29Kq0KIlkoSRQgoK4P9+3VNeqNdTbp3Vxk1qnL+J5erqaMRQjQFSRQhYOdOPZqmhGSLAuCeeyrIy9Px/vvSqhCiJZJEEQK2bav8GEKxRQFw2WV++vb18/LLRtTQDFEIEURyN1UI2L5dT9u2KnFxtQ9k66nApAXndmk9Z3+snaJUtiruvdfK6tUGxoyRZ1UI0ZJIoggBp56RXReKVoFWtCsocShaMmA6a9kNN/h4+mmVJ54wMXq0D520RYVoMeTPvYmVlMDBg7qQun/ibAwGePhhD1lZelaskO8XQrQkkiia2I4dTffo0/oaP95Hr15+nnzSjE96n4RoMSRRNLFTA9mh3qIA0OngkUc8HDyo49135QooIVoKSRRNbPt2PR06qMTEhM4d2YGkpvrp39/P00+b8HiaOhohRGMIaqJYuXIlY8aMYdSoUSxevPgX5VlZWaSnp5OamsqcOXPwnezPyMzMZMKECYwbN46pU6eSnZ0dzDCb1LZtepKSQr/b6RRFgdmzPRw7puOVV84+8C2EaF6ClihycnJYtGgRS5YsYcWKFbz77rvs37+/2jozZ85k3rx5rFmzBk3TWLp0adX78+fPJyMjg7S0NObPnx+sMJtUUREcOVL5DIoLSUqKn2uv9fKPf5g4dkzmgBKiuQtaoti4cSNDhgwhOjoam81Gamoqq1evrirPzs7G7XaTnJwMQHp6OqtXr6aiooL777+fnj17AnDRRRdx/PjxYIXZpE49+vRCGMj+X/Pne9A0mDvX3NShCCGCLGiJIjc3F7vdXrUcFxdHTk5OjeV2u52cnBxMJhPjxo0DQFVV/vnPf3L11VcHK8wmdSEnivbtNR58sIJVq4ysX69v6nCEEEEUtAviVVVFOeOZnpqmVVuurbyiooJZs2bh8/n4zW9+U69jx8SEn0fkjScrC7p2he7dI2pd126vXMdZVITFEpwrjkxGfdVx6mLePHj/fZg718b48WCxBCWsesXU3LTUup9XvcsLICII/xnDzISFBf/zCMXPPGiJIiEhga1bt1YtOxwO4uLiqpU7HI6q5by8vKry8vJyfvvb3xIdHc1LL72E0Vi/E2N+fhmqGvpXEW3ZEsYll/hxONwB17PbI3A4SgGo8Ppxu71BicftNZCVVb9LmR5+WOHOO03ce6+Phx46e8soLEzDaj23mM+se0vTUut+vvW2aR7U0sB/U+dCF+nB6Qzu59FUn7lOpwT8gh20RDFs2DCef/55CgoKsFqtrF27lr/97W9V5W3btsVsNpOZmcmAAQPIyMggJSUFqBzM7tixI48++ii6ZjpXRH6+wk8/6bjjjoqmDqWK06njsy/qm2A1hgzx8cYbekwmlW7dfjkwP2aMgtXaMDEKIRpf0M7C8fHxzJgxgylTpjB+/HjGjh1LUlIS06ZNY+fOnQAsXLiQBQsWMHr0aJxOJ1OmTGH37t2sX7+e7777jhtuuIFx48Yxbdq0YIXZZE49+vRCu+LpbNLSfMTEaLzzjjyzQojmKKiT9qSlpZGWllbtvVdffbXq9549e7Js2bJq5b1792bv3r3BDCsknBrIvpDuoaiJ2QyTJnn55z9NfPCBkUmTgtM1JoRoGs2zX+cC8P33Orp2VYmMbOpIGkaHDhpXX+3ju+/0ZGbKfysR2hRfGfqyLAzF32Eo2YbiyQXtwm/dB4tMA9oENA22btVz5ZUXfmviTFdd5Wf/fj3LlhlJSKigbdvQv6BAtCCqF2PxtxiL/ovefeSXxcZYKlpfjrfVcFDk1Hgm+ddoAkePKuTl6ejfP3QGshuCXg+TJ1fwzDNm3nzTxAMPeAgLa+qoRIunaRiKt2B2fITOV4zfnIjHPha/tROaIQJUL3r3UQzF32LJ+QBj0WbcbW5HtbRr6shDhvQRNIHvvqscnxgwoHm1KAAiImDq1ApKSuDtt434m18VxQVEqcjHevRlrMcXoxmicXa4F2fnP1IRew3+sO6o5gRUa3u8rYbh6vQAznbTUPxObIefRV+W1dThhwxJFE0gM1OPxaLRu3fz7BPt0EHjxht97Nun58MPDWjSAyUam6ZhLPyGsIOPo3cdwh0/AWenB/CH9aic2bIG/oiLcXZ+CNVkx3r0X+jLdjdi0KFLEkUTyMysnDG2nvcRXlAGDfKTkuLjm28MvP66TPEhGpGvDMvPb2E5sRS/rQvlXWbhbX05KHU73WmGSJwd70M1J2I99gY619EgBxz6JFE0sooK2LlTR//+zbM1caaxY30kJ/v5xz8MLF0qw2Ei+PSlP2D99kYMJd/jsY/F1f43aMbW57Aja+W2+jCsx14Dv7Phg72ASKJoZLt36/B4lGY5PvG/dDqYONHL4MEqDzxgkckDRfBoGubst2n17UjwlePq8HsqYq+pcyvirLs0RuFq9ysUXwmW4/9HS+5Dla95jSwzs/Jk2b9/8BNFlOkY7Ww7aGU+ik1fCIqK12+j1GfH4erOCVcvPGpwJyAzGOC557zcdZeBO+6w8tZbLkaObP5JUjQexVdK+J4HsRx/l4rWV+Dt83fUvK21b1gHqrUjnrg0LLkZqMdXQNvfNch+LzSSKBpZZqYeu12lXbvgfDtR8NMrei1JrT4kzroPAJ9qotzXGk3TY9aXYTUUV62f7+7I4bLB7CtJAW1IUGKKiIBly5zceKONqVOt/Oc/LkaMkGQhzp+hZDsRO+9A7zxEedc5ODs/hI3cBj2Gt/UVGEp3YNr3OIr9JjSTvfaNmhlJFI3su+/0DBjgD3ThxTlrY9vJlYmLaG3+CYe7C1+c+B0/lQ2ksKI9cPqARp2TeMteEmy7aWfbQXLM+wyIXYrn0JO4wyexy3UHJf6ODRpb69awbJmL9HQrkydXtiyuuEKShThHmobl6CuE/zgX1RRL8cCP8ba67GRZAx9L0eFJnIjt0ELC9z5Cad/XGvgAoU8SRSMqLISDB3XcemtDz4WkMtj+FoNiF1PiTeCjo49ysHQYZyaHM3lVG8ecl3DMeQlbuQ2zrpQuERsZ3P17hoQ/wZDwJzhScRU7nL/igHssKg3zbOyYGI3333cxYYKV226z8uKLbsaN8zXIvkXLoXNnE541A3Peajyxoynt8xKaKSaox1TNCXg73oXl8Mu42k/DFz04qMcLNTKY3Yi+/77hxyf0SgWj2z7GYPvbZBWPYsnBVzhYehk1JYmz8agRZBWncqBdBq/m7mFT2WxaG/Zwfavb+E1cN1IiHqGV/scGiTc2ViMjw8mAAX5+/WsLr7/ejK8RFg1LU7EcfZ1WGwdhKviCsoueoCT53aAniVO8nX6N35RA+I+PtLh5oSRRNKLMTD2KopGc3DCJQoeXMe0epUfUBr7OmcanPz+EV7Wd1z5L1Q5sKpvLa7l7eL9gBdneoQwIe5474/pxS8xV9La+jUEpP69jREXBu++6SE318cgjFv76V5PcwS0CMhT9l+gto4jYMwNf1AAKhm7G1eG3AW+ea/ggwijv/meMxVsx5yxvvOOGAEkUjejbb/X07KkS0QAXGin4Gd3uMTpH/Jf1Pz/Ad/m3UJ9WRG009Bz2pPJh4bu8krufL0v+hk2Xy7XR07gnrjNXR95HvHEr59ohbLXCv//tZurUCv75TzOTJ1spKWmw8EUzoXMeIHL7FFptuQa96zAlfV6iuH8Gqq1zk8TjSbwVX3hvbAcWgNpyuk0lUTQSnw+2bNEzdGjDfHUeFvc63SK/4qsT9/BD0dgG2WdNnGoCW8of4g3HDt7JX8d+9/X0ti3m9tjLmRo7gCHhj51T15TBAE895eGJJ9xs2KBn9Ggb+/c34jdEEbIMxZlE7JhK628GYMpbS3mXWeRftg1Pm9satxXxvxQd5V1mY3Duw3zivaaLo5FJomgkO3fqcDoVhgw5/0RxUeR6BsQuZUdBGt8X3NgA0dWVQnbFcFYXv8bLOYdYV/wcLjWGYeHzuTOuH5NjBzMo7CliDD9Qn5bGr37lZdkyF4WFCldfHcY778j8UC2R4ivBkv0WrBtOq29HYsr/DFen+8kfvh1n19lgqPmZzo2pIm4s3ogkwg4+DmrLeEiXXPXUSDZtqhzIPt9EYfQcYmTiM2Q7L+bLE/fSkN1NiqJh0oprXxFAgz3lN7On/GbCdMfpZl1Jd2sGl0fO43LmUeZP5Ih7JEc8IzH6rgECT6MwbJif9eud/O53FqZPt7Jhg5cnn3Rjb3mXrLcoSkU+pvxPMTk+wexYhaK6IaIHZT0ew912auU04KFG0eHsOoeobbdgOf5/uNtOaeqIgk4SRSPZvFlPp04qCQnn8VVZ9RJ/5B40dKw59ghqQ398mopWtKvem5UB2xjGNoYRbnDQIXwrHcO30C0sgz5hS2An+A50wxc1EG/UQHyRA/GF9wR99YH3Nm0qL5999lkTTz1l4r//DeNf/4JLL22g+okmp3hyMRZvwVr8JfrCTeiKd6Cgopli8LW5AV/iDVgTL0VxVmClDLSyeh/DoHgJ9pNeKmJH443sj+3gk7gTJ4KuYS4hD1WSKBqBqsJ//2tg9OjzG/yyHXwCqzOTT47PocwX30DRNawyn53dRdeyu+haFPwkWHczclgeEb7vMeV/huX4O1Xr+s1t8Nu6Vr6snVHNcWjGWB6+y84Vgztw/x/bcd11OtLTLcyf7yE2VvqjLghqBTp3Nnr3MfTO/ZWPHC3PwlC2G12FAwBNMaJa2lERew2+8D6olvaV8zKVHYcTa1FL3ed8eKXt8IaqSYCDKJR3nUP09zdi+flt3O3uDP4xm5AkikawZ4+OwkKFoUPPPVEYijZjO7SQklYT2bd7ZANGFzwaeo67+pIfPxiHYoS2GgbvUazlWzF5fsTk2YfJcwBT6UdYfXnVtk0Fts82sWDlbB5b8QifrfHzyM2vc/fYNRgs4fj10egtUeitEaiGKLSTL9UYjWaIRjNGoRqiQG9tmso3V5qKUuFA785G5/kZnfsYevexkz+PonMfQ+c5gXLGGJWmD8MX1hNP7Gj84b3wRg3EFJ6AeuLzJqzI+fPGXI03cgC2w8/gbjMFdM33dNp8axZCvvyycnxi+PBzHJ9QvUTsno5qaUduuwXAgYYLrhE4nTo+++LUiaP9yVd1RqUMqy4Pmy4Xm85BmC4Xi66AcWPLSUr6O4veG88f33iQl1dN4M83P0X6wGWEGYvQaYG/eWrGaFRrBzRre1Rr+8qftg5o1o5o5rizXkGj6iNwq6ExcNroVA9652H0roPoXYcweQ6jcx1F8ZxAcZ9A8eSiaNUHcDWdGc2SiGZpgxozDL+lDZolEdXSBs3aDs3StmoWVwUw0TjdQ0GnKDi7PEzUtlswn3gPT5tbmzqioAlqoli5ciUvvfQSPp+PqVOnctttt1Urz8rKYs6cOZSXlzNw4EAeffRRDIbTIT3zzDPo9Xruu+++YIYZdF99ZaBLl/OYCHDvcxjK91Dc7x00JQQH9xqAVwvH6w+nxN+p2vsROgulYW7G3wEXZVWwcmU77nj+eWa3eZa5j5Rx25BX0WkuFL8L1Mqfit+FojpR/E4UbyE6bx66gs3ovZ+gcPqOWk0xoZrsqKa4yp/myp+6jhPB1Ktx/wEa05nJwHng5Kvyd537aPXWgM6Mpo9ANUajmhJRw3qhGaLPaLlFo+nDf5lwNcBVXPnih1+E0CjdQ42gInY0vvCLsR1+Gk/iLec1rXkoC1qiyMnJYdGiRSxfvhyTycTEiRMZPHgw3bp1q1pn5syZzJ8/n+TkZGbPns3SpUuZNGkSpaWlLFiwgI8//pi77747WCE2Cq8XNm7Uc9NN53YZnc59HHb+BU9sKhX2ayHvwrscr15XU/0vTzkmrbLLrl9PuLg7ZH5vYc36MH53XyQvdp/Cvbdt48bUH7FYa2mxaf7KxFGRV5k8KnLReRzo3UcxlG4/nUQOL8JqbI3f1q3yFdYN36nfbV1+MQgfkvxu9K7D6F2H/icZHDyZDE4nTNUQjd/WBW/0YPy2SfhtXarGjayGCtSf1zRhRUKcouDs/BCRO+/AlPshFfHjmzqioAhaoti4cSNDhgwhOjoagNTUVFavXs3vf/97ALKzs3G73SQnJwOQnp7Oc889x6RJk1i/fj2dOnXiV7/6VbDCazTffaenvFzh8svPrdspbN8cUL2UXfRE095odD7O8WoqACxGNPfp5KgDLu0G/bso+ML788a/dfz2L9cw77nLuGvCTu6asJP42BqeRqbo0Uyx+E2x/OLT0HwoFfnoKhzora1RnQ70zv0YCzZgOb6k2qp+UwKqJRHV3AbVnIjf0hbVfHLZ0gbVFItmiA7ut0u1Ap3nBDrPcXSen9G7jlQlAr3rIDp3drWWwelkMAi/7dYzkkGXwHMlaceDV4dmwhM/Dt+B7oQdfIqKuHEX7t9pAEFLFLm5udjPuAg+Li6OHTt21Fhut9vJyckBYPz48QA8//zzwQqv0Xz5ZeX8TsOH138g21jwJZYTy+Dieai2LkGI7sKl12mMG+/iN6PfY8O37XlpSTKP/2swT/97IGNHHuTWsVlcPfQIBkMdu/sUA5o5Hr85Hq3taJxK4ukyXxl610EM5fvRO/ejcx1B7/kZvesQxsJv0PmKfrE7DV3l+IixNZqx9Rk/W4HOcrJLxwI6c+XvOjOK5gfNV5m0NB/kaoQVO1B8xZUvbzG6ihz07p/RefN+eUxja1RbR9ToAfhtN6DaOqJZO6Ja24OpVfV/v5MvqAiYDJrFWEKwKXqcnR8k8offYspbQ4V9dFNH1OCClihUVUU5I7NqmlZtubby8xETEzoDkV9/DQMGQI8e9RxbUL3w7cMQ1gl6z8JuqLx6x1lUhMUSnBlXdTolKPs+3/3WtK1epyMy0sL1Vzu4/up1/Hgoihfe7s3ild35YF134mOd3D5uH5PH7SOpZ0Hdv+hZ9YTpCqq/F9kOaAdc8cv1fS5wn6h8uU5ARQFKRRFKRSG6ikKoKALvT1C+E7zF4HdXJoQ6sOmMYIwCYzSYoiCiPcQPAWsbsLYFW9vKn4oOJW/jGQnglAJwF8C5Xm0aMwRzhOUcNw7AaMAUYL8R53PMWvZ9zsLMhIXV8Hcccxccfpyoo/+AXhPOq1Vht4feOGTQEkVCQgJbt55+HKHD4SAuLq5aucPhqFrOy8urVn4+8vPLUNWmv+Y+L09h8+YwHnqoAoejft/LrIefJ7x4N8X93iHKYMXhKAWgwuvH7Q7OOIWqakHZ9/ns12Ix1ritX1UpPeN6+8RYN/MfyGHevV+w9utOLPmoF8/+v4t5+vV+dG5XRNrIA6RdeYBL+55AF6BXyBxZjCf763OKt7JzLBb0sWCl8nVm6anWiuYH1YOiulH8HtA8gL6yZaMzgGIgNi4WR4Gv9pOOD2za8fO696Am5kgfnkbeb0SEpdrn2pD7Ph+6SA9OZ2mN5Zb29xOx50GKfvwYb+sR53QMuz2i6m+9Mel0SsAv2EFLFMOGDeP555+noKAAq9XK2rVr+dvf/lZV3rZtW8xmM5mZmQwYMICMjAxSUlKCFU6T+OwzPZqmcM019et20rmPYzu44PQAtqgXk1Fl7MiDjB15kPxCCxnru7Hy86689H/JPPefAcTHljPqssNcMfgoIy49SlyMq9FiM+hVbP6TXT26ky8DgPmMtXyVL48DG546TZslXURNz93mdmwHn8R28CmKzzFRhKqgJYr4+HhmzJjBlClT8Hq9TJgwgaSkJKZNm8b06dPp27cvCxcuZO7cuZSVldGnTx+mTGlec6Z8+qmBuDiVpKT6PeQkbN8cFO0CH8AOETGt3Nw5YRd3TthFUamJtV934qPPu7Lys678J6MPAH265TFi0FEG9zvOoKQTdGkbvHgUvxO1rq2VCEudWwnN5XLTC5regqvTdMJ/nI2h6L/N6il4Qb2PIi0tjbS0tGrvvfrqq1W/9+zZk2XLltW4/YV8/4TXC599ZmDsWG/Abo7/ZSz4CsuJZZR3+aMMYNfCj43jFUPqvoEZLr8KLr+qEL+/kB/2hrF5ayQbv43ktWX9eHHJJQAkJvgY1CeS/n1y6NM9j4u755FoL5ecLWrlavcrbIcWYjv0FCWX1Hxuu9DIndlBsmmTnpIShWuuqcdlsaqX8D1/wG/piLPTg8ELrpkod+r4cuX59OeW0qHVCTqkwoSrFbJzwjmSHYXX2IHt2+xkrD99z0+rKBcXd8+nd7c8enfNp1vHIrp1LCIhVhKIOIM+DFeHewk78DcMJdvxRfZr6ogahCSKIPnwQwM2m8aVV9Z9fMJ69JWqO7BljqLGZdBrdGxTSsc2pYydFInd8x5FpSZ274tl175YftgXw659sbyd0Zty1+mZQsOsFXTrWETXDpWvbh2K6NaxkK4dimgd5WnCGomm4mr/a6xHnsN26GlK+r3V1OE0CEkUQeDzwccfG0hN9WGt4/le5z6O7cBjMoAdAqq6tMzQ+eLKVxou4CiqepSfT5g4ctTC4VOvnyxs3d2BFZ92R1VPNy+iI310aOemQzs3Hdt76NDOzcX9wugVZSUm2iUtkWZKM0bhaj8N26Gn0ZftxR9+UVOHdN4kUQTBN9/oyc/XkZZW92+UYfvmygB2iKhrl1aMGWK6wYCTPVQ+v0J+oRVHgY3cAht5hVYchVY2/jeMj9fFoGmnPtdphIf56NiuMnl0bOehQ3s3Hdu56dDOgz3Gi6JAQakBT0XdWqSt3LEE4c4BcY5cHe7FduRFbIefpvTifzV1OOdNEkUQnOp2uuqquv2RVw5gvycD2Bc4g14jPtZ51ilEfD6F/GIrCRf14/NVx8grtJJXYGXLdzbWfNYKVTt9xYPJ6Ce2lZP4WDeto8qJbeXC3spFbGsnUREedGf5HjF2UntJFCFEM8Xgan8X1p9exNn5IfxhPZo6pPMiiaKBuVyQkWHk2mvr2O2kegjf86AMYDdzBoNGfIyTy4f70fKOVivz+xUKSyw4CqzkFdpwnEwix3PD2LE3Br//dBIxGvzEnEwc9tZOYlu5iG3lpP/POmJaUa8r7ERwOTvNwJL9/wjbN4+S5Hdq3yCESaJoYB9/bKCkROG22+p2J7Lt0NMYyvdSdMn7MoDdQun12skTvgs4PXWIxWLE6fRSVFqZRBwFNvKLKn86Cq1kHWiNz185YceLS8Bs+h2d2xXTLqGUNnHlJNrLSLSXkxhX+TMuxkmrSDdWy/k9t13UjWaKxdlpBuH7H8VY8DXe1hfuvS6SKBrYkiVGOnZUGTas9j9GfdlebIeexp1wE97YaxohOnGh0emgdZSb1lFuLupcWK1M1aC41ExegY2Ebl1wHDrAgaPRZJ8IZ+ePdnLzbWeMi5xmtXhpFemhVaSbVif33SrKfXLZU7l8siy+yEqYJ5zWUS5JMOfA1eF3WI++Rti+ORQN+vyCfV6FJIoGdOiQwtdfG5g1y1N7F4CmEpF1H5ohnLKLHm+U+ETzolM4ecL3MPZmF3bPN9XKfT6FnPwwfs4N43huOHmFVgpLLBQWmyt/llgoKLKw70grCootFBZbqPDqz3Kkyoc4Wcw+EmLLaRNXRpv4MtrFl9Imvoy2cWV0bldM1w5Fkkz+l95Kebc/EfnDPZhPvI8n8aamjuicSKJoQK+9ZsJg0Lj11tq7nSzH3sBYtJmSPi+hmey1ri9EIDXdpa5rBe1aQbuLqq8N5Sdfp2kauD06ikv0FBUbKCox4NPFUp69g8ISC/mFFk7khZGdE8HWXQl8uL5btcSiKBod25TQvVMh3TsW0qNTIRd1LqBn1wJioht+kr6aFLtjKazPHft1FOmOOqfeYU/iRLw/vUjY/kfxxKWB/sK77EASRQMpKoLFi43ccIOPxMTAs7jpy/cRvm8uFa2vwJM4qXECFM3a+d+lfnbXTmqDVnpq2ms/UHLyBaoKhUUGjuea+OmohYNHLBw8YuXQETtfZ7bH5T6dROwxFXTr7KJbFxc9uri45FIr/WJNREU0/FSGpWVGVgfl38JA9LkMIyo6yns8RnTmWGyHFuLsNrfBYws2SRQN5K23TDidCr/9bS3/8VUPETvvRNOZKO3zstwzIUJaXROQDugWX/liUOX4SVGJhZw8G8cd4Rx3hJGdHUbmdvsZrZB7aBtfSs8uBfTqmk+vLgX06pbPpUnlAY50YfK2TsGdOBHb4UV4Em664G7Ck0TRAMrK4OWXjaSk+Lj44sAzxYbt+wvG0u0U93sH1dKmkSIUonHplNOD8L26nr6SS9WgsNhC+969+HlvFrv3x7DnYGteey8Jt+f06ah1tIuE2HLiY50kxJZjb+UkPMxLuM1LmLWCMJsXq9mH2ezHYvJjMfsqXyY/5RF6SspMGAwqZpMfva7pn00DUNbjMUx5a4jYfS9FA1eD7sI5/V44kYawV14xkZenY9aswM81MDnWYPvpBVztf01F3JhGik6I0KFTICbazZVXeLAPzax63+9XOJQdyZ4DMRzKjuPgUQs5eWEcd4Sx73Ar8gqt1RJJ7SofgqagER5WQWR4Ba2j3MTHllcNyCfayxr1vhPNFEvZRQuJ3HUXtiPP4Oz8UOMd/DxJojhPeXkKL7xg4tprvQwcWHNrQuc8SMQPv8YX3oey7vMbMUIhQp9er9GtQzHdOhQTEfHzWZ9w5/MplLuMlS+nEZfHgNtjwFOhP/2zQo/DP5StX5/A69PhchspKTNRXGbGUWDlh/0xqGpldrCavXRuV0y3joVc3COP+Jhf3lHf0DyJN+F2fIztwGNUtB6BL+rSoB+zIUiiOE+PPmrG7YY5c2oem1C8RURtuxmA4n6LL8irHoRoSIGeJRJwjiszKGYIj4aaHtzpt4LFlX32Mr+Co9DK0eORHDwazYGj0ez+LJYPP+tOfEw5fS9yMCjpeFCTRlmvRRiLM4ncPoXCIV+hmWKDdqyGIoniPGzYoOfdd43MmOGhR48aWhN+J1HbbkHvPERx/xUyl5MQBB4kD/Sc9LpIGX+2e0Eq6fUaCbFOEmKdXNr3BAAFxWZ2/Whn575YPtvUgU83dqJzuyKG9PuZ5F65WMwNe2+IZmxFSb//EL3lGiK3T6Z4wArQmWvdrilJojhH+fkKM2ZY6NpVZcaMGloTfhdR22/HULSZ0r5v4G19eeMGKYSoVesoDymXHiPl0mMUl5rYuiuB/25vw/993Jv31/agf+8chg84ewvlXPkikynt/QKRu+4mYtdvKO3775C+a1sSxTnw++E3v7GQl6ewcqUTy1l6khRfKZHbbsVY+BVlvZ7Dk5De+IEKIeolKqKCq4b+xJVDfuJwdiSbt7Xhu90JbN7eljXf+rjrbi/jx/uw2c7/WJ7EmynzHCd8359AZ6G0zwvnv9MgkURRT5oGDz9s5ssvDSxa5CY5+ZddTjrXYaK2TURfvpfSi/+FJ/GWJohUCHGuFAU6tyuhc7sSxl+9jy07E9l+oCsPPGDlz3/WuOUWL1OneunePfDl8LVxdbofRXUTduDvKH4nXLG4gWrQsEK3rROC/H6YNcvMf/5j4v77PWedIdaUk0Gr/45A5/6Z4kuWS5IQ4gJntfhJufQYH2cUk5Hh5MorfbzxhpHLLgsjPd3Khx8a8J77kArOLn+svMciNwM+TUHnOtJwwTcQSRR1VFQEt99u5Y03TNx7bwWzZ1cfl9C5s4nYcQdROybjt3amcPDneGNGNk2wQogGpygwdKifV15x8/335cyZ4+HIER13323lkkvCWLDAxI8/ntsp1dXx95XPrCj5kVabhmE59iZo59daaUiSKGqhaZCRYWD48DC++ELPU0+5+fOfPVUzb+jcxwn7cQ6tv+mP2bGK8q5zKLp0Haqta9MGLoQImrg4jfvvr+Dbb8tZssRJcrLKM8+YGD48jBEjbCxcaGLHDh1qPc71FfZrYcwOfJH9iMiaTvR/R2LKW1t5EmpiQR2jWLlyJS+99BI+n4+pU6dy2223VSvPyspizpw5lJeXM3DgQB599FEMBgM///wzM2fOJD8/n86dO7Nw4ULCwsKCGeovlJfDRx8ZeOUVE7t26bn4Yj9LlrhISlJRfCWY8j7FnPM+Jscq0DQ8ibdQ3vURVGunRo1TCNF09Hq4+mo/V1/t4sQJhY8/NpCRYeCpp0w8+aSZ2FiVESP8DB7sZ8AAP716qRgCnXXDO1E84GPMJ94jbP+jRH0/AV9YT9xtJuOJu67JLq8PWqLIyclh0aJFLF++HJPJxMSJExk8eDDdunWrWmfmzJnMnz+f5ORkZs+ezdKlS5k0aRKPPvookyZN4rrrruOFF17gxRdfZObMmcEKtUpWlo5PPjHwzTd6tmzR43YrdO3i5cUn9nDLVRuxuLZh3LwRQ+kOFFRUUxyuDvfianen3B8hRAuXkKBx111e7rrLS26uwoYNej7/3MAXX+h5/30jADabxkUXqfToodK9u0qHDiqJiRqJiSoJCSdbDoqCJ/FmPPHjMZ94D+ux1wnfN4fwfXPwWztR0foKfJHJ+MN64gu7CM3YOuiTiwYtUWzcuJEhQ4YQHR0NQGpqKqtXr+b3v/89ANnZ2bjdbpKTkwFIT0/nueee46abbmLLli288MILVe/ffvvt9UoUurM9fb423hIevC+c/BIrvdodYtakLaRe/BGDO39d+RkcA01nxhuRjKvdRHyRg/FG9a+69jnYfXin6mQw6oiIDs6d3SaTEpR9n89+zWYDRsvZb6AKxXgbct+B6n4++62Ppthvfepd332fD4NRV+dzS0ICTJzoZ+JEP5oGP/+ssHOnnh9+0HHggI4DB/Rs3mz8xXatWkFYWBjh4Rrh4VbCwu7CYrkLI+WYtROY/T9j8v+MSVeOQb8foy4LRa9DMVgID4ext1+EIX5AvetWW72Clihyc3Ox208/kCcuLo4dO3bUWG6328nJyaGwsJDw8HAMJ9tnp96vj1atzqWbKpyt20/93vXka2K1NRTAdPLV2GJiwk/+hM4PXRa04/ROCs6+Zb/B37fst3H2fS5iYyEpqa5rn+1rZ/TJV88Giqh+gvZFWFVVlDOaQ5qmVVuuqfx/1wN+sSyEEKLxBC1RJCQk4HA4qpYdDgdxcXE1lufl5REXF0fr1q0pLS3F7/efdTshhBCNK2iJYtiwYWzatImCggJcLhdr164lJSWlqrxt27aYzWYyMyvnpM/IyCAlJQWj0cjAgQNZtWoVACtWrKi2nRBCiMalaFrwLtJduXIlr7zyCl6vlwkTJjBt2jSmTZvG9OnT6du3L3v27GHu3LmUlZXRp08fFixYgMlkIjs7m1mzZpGfn09iYiL/+Mc/iIqKClaYQgghAghqohBCCHHhkzuzhRBCBCSJQgghRECSKIQQQgQkiUIIIURAkihC3MqVKxkzZgyjRo1i8eLQfKhJQ/nnP//Jddddx3XXXceTTz4JVE4Fk5aWxqhRo1i0aFETRxh8TzzxBLNmzQJaTt0/++wz0tPTufbaa5k/fz7QMuqekZFR9f/9iSeeAEK43poIWSdOnNBGjhypFRYWauXl5VpaWpq2b9++pg4rKL755hvtlltu0Twej1ZRUaFNmTJFW7lypTZixAjtp59+0rxer3bnnXdqGzZsaOpQg2bjxo3a4MGDtT/+8Y+ay+VqEXX/6aeftOHDh2vHjx/XKioqtFtvvVXbsGFDs6+70+nULr30Ui0/P1/zer3ahAkTtPXr14dsvaVFEcLOnFjRZrNVTazYHNntdmbNmoXJZMJoNNK1a1cOHz5Mx44dad++PQaDgbS0tGZb/6KiIhYtWsQ999wDwI4dO1pE3detW8eYMWNISEjAaDSyaNEirFZrs6+73+9HVVVcLhc+nw+fz0d4eHjI1luemR3CaptYsTnp3r171e+HDx/mk08+4fbbb/9F/es7QeSFYt68ecyYMYPjx48DZ//sm2Pdjxw5gtFo5J577uH48eNcccUVdO/evdnXPTw8nPvvv59rr70Wq9XKpZdeGtKfubQoQlhtEys2R/v27ePOO+/k4Ycfpn379i2i/u+99x6JiYkMHTq06r2W8tn7/X42bdrEY489xrvvvsuOHTs4evRos6/7nj17eP/99/n888/56quv0Ol0HD58OGTrLS2KEJaQkMDWrVurlpv7BImZmZlMnz6d2bNnc9111/Htt98GnFiyuVi1ahUOh4Nx48ZRXFyM0+kkOzsbvf70Mxmaa91jY2MZOnQorVu3BuDqq69m9erVzb7uX3/9NUOHDiUmJgaofO7O66+/HrL1lhZFCKttYsXm5Pjx49x7770sXLiQ6667DoB+/fpx6NAhjhw5gt/v56OPPmqW9X/jjTf46KOPyMjIYPr06Vx55ZW89tprLaLuI0eO5Ouvv6akpAS/389XX33F6NGjm33de/bsycaNG3E6nWiaxmeffRbS/9+lRRHC4uPjmTFjBlOmTKmaWDGp7k8/uaC8/vrreDweHn/88ar3Jk6cyOOPP859992Hx+NhxIgRjB49ugmjbDxms7lF1L1fv37cfffdTJo0Ca/Xy2WXXcatt95Kly5dmnXdhw8fzu7du0lPT8doNNK3b1/uu+8+LrvsspCst0wKKIQQIiDpehJCCBGQJAohhBABSaIQQggRkCQKIYQQAUmiEEIIEZAkCiHq4c4776SgoKCpwxCiUUmiEKIevvnmm6YOQYhGJzfcCVFHjzzyCABTp07l5Zdf5rHHHuP48eN4vV6uu+467rnnHo4dO8Ydd9zBiBEj2L59OyUlJcycOZNrrrmG559/nsLCQubNmwdQbXny5MlERUVx8OBBbr31VsaPH8/f//53fvzxR7xeL0OHDuXhhx/GYJA/WdH4pEUhRB0tWLAAgP/3//4fjzzyCDfeeCPLly9n2bJlbNy4kVWrVgFw9OhRhg8fzrJly/jDH/7AY489Vqf9R0ZGsmrVKiZPnsxjjz1Gnz59WL58OStWrKCwsJA33ngjaHUTIhD5eiJEPblcLrZs2UJxcTHPPvssAE6nkz179pCUlITRaGTEiBEA9O7dm6Kiojrtd+DAgVW/b9iwgZ07d7Js2TIA3G53w1ZCiHqQRCFEPSmKgqZpvPPOO1itVgAKCgowm80UFhZiNBrR6XRV6/7vdqd4vd5q+7XZbFW/q6rKs88+S9euXQEoKSkJmSmnRcsjXU9C1INer8dgMJCcnFzVFVRSUsKtt97K+vXrA27bqlUrfvjhBzRNo6ysjM8//7zGdYcPH86bb76JpmlUVFTw29/+lrfffrtB6yJEXUmiEKIeRo8ezeTJk/nrX//K9u3bSUtL46abbmLs2LFcf/31Abe9/vrrad26NaNGjeKee+5h0KBBNa47Z84cnE4naWlppKWl0aNHD+6+++6Gro4QdSKzxwohhAhIWhRCCCECkkQhhBAiIEkUQgghApJEIYQQIiBJFEIIIQKSRCGEECIgSRRCCCECkkQhhBAioP8P/uoHONdXtwcAAAAASUVORK5CYII=",
-                        "text/plain": [
-                            "<Figure size 432x288 with 1 Axes>"
-                        ]
-                    },
-                    "metadata": {},
-                    "output_type": "display_data"
-                }
-            ],
-            "source": [
-                "sns.distplot(data_no_mv[data_no_mv.Churn == 'No'][\"tenure\"],\n",
-                "             bins=10,\n",
-                "             color='orange',\n",
-                "             label='Non-Churn',\n",
-                "             kde=True)\n",
-                "sns.distplot(data_no_mv[data_no_mv.Churn == 'Yes'][\"tenure\"],\n",
-                "             bins=10,\n",
-                "             color='blue',\n",
-                "             label='Churn',\n",
-                "             kde=True)"
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "Kunden, die noch nicht lange bei dem Unternehmen sind, werden eher abwandern als langjährige Kunden."
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "### Monatliche Kosten"
-            ]
-        }, {
-            "cell_type": "code",
-            "execution_count": 150,
-            "metadata": {},
-            "outputs": [{
-                    "data": {
-                        "text/plain": [
-                            "<AxesSubplot:xlabel='MonthlyCharges', ylabel='Density'>"
-                        ]
-                    },
-                    "execution_count": 150,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                }, {
-                    "data": {
-                        "image/png": 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",
-                        "text/plain": [
-                            "<Figure size 432x288 with 1 Axes>"
-                        ]
-                    },
-                    "metadata": {},
-                    "output_type": "display_data"
-                }
-            ],
-            "source": [
-                "sns.distplot(numeric_data[\"MonthlyCharges\"])"
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "- Es ist keine Normalverteilung erkennbar.\n",
-                "- Die meisten Kunden befinden sich im vorderen Teil der Verteilung und zahlen relativ niedrige monatliche Gebühren.\n",
-                "- Dennoch verläuft die Kurve gleichmäßig mit einem erneuten Anstieg nach hinten und dementsprechend können keine Ausreißer identifiziert werden.\n"
-            ]
-        }, {
-            "cell_type": "code",
-            "execution_count": 151,
-            "metadata": {},
-            "outputs": [{
-                    "data": {
-                        "text/plain": [
-                            "<AxesSubplot:xlabel='MonthlyCharges', ylabel='Density'>"
-                        ]
-                    },
-                    "execution_count": 151,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                }, {
-                    "data": {
-                        "image/png": 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",
-                        "text/plain": [
-                            "<Figure size 432x288 with 1 Axes>"
-                        ]
-                    },
-                    "metadata": {},
-                    "output_type": "display_data"
-                }
-            ],
-            "source": [
-                "sns.distplot(data_no_mv[data_no_mv.Churn == 'No'][\"MonthlyCharges\"],\n",
-                "             bins=10,\n",
-                "             color='orange',\n",
-                "             label='Non-Churn',\n",
-                "             kde=True)\n",
-                "sns.distplot(data_no_mv[data_no_mv.Churn == 'Yes'][\"MonthlyCharges\"],\n",
-                "             bins=10,\n",
-                "             color='blue',\n",
-                "             label='Churn',\n",
-                "             kde=True)"
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "- Kunden mit niedrigen monatlichen Gebühren sind eher abwanderungsbereit.\n",
-                "- Der Abwanderungstrend zwischen Kunden, die abwandern, und Kunden, die nicht abwandern, gleicht sich an, wenn die monatlichen Gebühren steigen.\n"
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "### Gesamtkosten"
-            ]
-        }, {
-            "cell_type": "code",
-            "execution_count": 152,
-            "metadata": {},
-            "outputs": [{
-                    "data": {
-                        "text/plain": [
-                            "<AxesSubplot:xlabel='TotalCharges', ylabel='Density'>"
-                        ]
-                    },
-                    "execution_count": 152,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                }, {
-                    "data": {
-                        "image/png": 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",
-                        "text/plain": [
-                            "<Figure size 432x288 with 1 Axes>"
-                        ]
-                    },
-                    "metadata": {},
-                    "output_type": "display_data"
-                }
-            ],
-            "source": [
-                "sns.distplot(numeric_data[\"TotalCharges\"])"
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "- Die Kurve flacht nach hinten hin extrem stark ab.\n",
-                "- Es sind Ähnlichkeiten mit der Exponentialverteilung zu erkennen. -> Test der logarithmischen Transformation zur Erreichung einer Normalverteilung.\n",
-                "- Es ist fraglich, ob es Ausreißer im hinteren Teil gibt. -> Boxplot\n"
-            ]
-        }, {
-            "cell_type": "code",
-            "execution_count": 153,
-            "metadata": {},
-            "outputs": [{
-                    "data": {
-                        "image/png": 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MBtXR0aFTp04pMzNT+/bt0yOPPKIHHnggWVsAAPy/pN359/f369FHH9X27du1efNmeTweBQKBZC0PALhO0u78Q6GQXC5X7LFlWbp48WKylgdWxe1+RCMjwwm/LpH3E+zc+S998835hNcAbqekxT8ajcrhcMQe27a94nE8ubnZa7EtYIXh4R9TvQUgKZIW/7y8PF24cCH2OBwOy7KsVb9+enpO0ai9FlsD/haXa4vC4dlUbwNYIS3Nccub5qSd+T/22GM6d+6cfv31V127dk1ffvml3G53spYHAFwnaXf+99xzjw4ePKj9+/draWlJzz//vB566KFkLQ8AuI7Dtu0NcZbCsQ/WK459sB6tm2MfAMD6QfwBwEDEHwAMtGE+zz8tbfXvCQCSjd9PrDfxfic3zB98AQC3D8c+AGAg4g8ABiL+AGAg4g8ABiL+AGAg4g8ABiL+AGAg4g8ABiL+AGAg4g/8DXNzc3rmmWf0yy+/pHorQEKIP/AXff/993rhhRc0NjaW6q0ACSP+wF/U2dmp1tbWhL6LGlgvNsynegLrzZEjR1K9BeAv484fAAxE/AHAQMQfAAxE/AHAQHyTFwAYiDt/ADAQ8QcAAxF/ADAQ8QcAAxF/ADAQ8QcAAxF/ADAQ8QcAA/0v1rvu0vlBQPUAAAAASUVORK5CYII=",
-                        "text/plain": [
-                            "<Figure size 432x288 with 1 Axes>"
-                        ]
-                    },
-                    "metadata": {},
-                    "output_type": "display_data"
-                }
-            ],
-            "source": [
-                "# Boxplot für TotalCharges erstellen, um sicherzustellen, dass keine Ausreißer vorhanden sind.\n",
-                "plt.boxplot(numeric_data[\"TotalCharges\"])\n",
-                "plt.show()"
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "- Boxplot zeigt keine Ausreißer.\n",
-                "- Dies bedeutet, dass auch bei den Gesamtkosten keine Ausreißer festgestellt werden können.\n"
-            ]
-        }, {
-            "cell_type": "code",
-            "execution_count": 154,
-            "metadata": {},
-            "outputs": [{
-                    "data": {
-                        "text/plain": [
-                            "<AxesSubplot:xlabel='TotalCharges', ylabel='Density'>"
-                        ]
-                    },
-                    "execution_count": 154,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                }, {
-                    "data": {
-                        "image/png": 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/nx3i+f/bTb+ucYwb3I7etxjQBP58luBwONl7zMRHW45w+EwR/brG8cT03kTog8g3W1yvda3X9CTPjbQJDQ1CHaCiwupApwvC8NNaFb/kz3+vN5rNa4UiPj6e3bt3ux6bTCaMxtqdXPn5+Tz44IMMHDiQp59+GqgpHOvXr+f+++8HagqMWl2/U8/CwnKcdQyFMBjCMJnK6nXcxuLP2cC/8/lzNvDvfNExet5K24/d4WR4r1bYqu3Yqq8cZWSz2Skrd9+5a7FYKXQ46NMhhq4PD+SL3efY9p8L7D6UhzYwgDZxesJ1WixVds6byqmoshMVFsT947pwe48EqiurMVVWY7HWvFaYPviar+lJnhttE6HXYiqqwGKxYnJcefOdP/+9epItIEDl9gu21wrF4MGDeeONNzCbzYSEhLBlyxaef/5513aHw8GcOXMYN24cjz76qOt5nU7HO++8Q+/evenZsycffvhhvc8ohBD1t+GrYxw/X8KQpHgi9NoGO25IUCApQ9ozbmBbsk+ZOXjKzHlTOabiSkKCAundyUCPDjH07BhT60zDn0Tqg1r0GtpeKxRxcXGkpqYya9YsbDYb06ZNo0ePHsyePZu5c+dy8eJFDh48iMPhYPPmzQB0796dF198kVdffZWFCxdSVVVFu3btWLx4sbdiCiGA/CILH205Qs+OsdzcKtwrrxGoDqBXx1h6dYz1yvG9KVKv5WROKZYqO6E+XrTJF7z6E6ekpJCSklLruVWrVgGQlJTE4cOHr7pfv379SEtL82Y0IcRPlJ/WeFCrA5g2sgPHzhX7OpLfidTXdGhfLKzAEOH7DvbG1vJKoxCill2H88k+ZWb2Xd1dH4g3yldTkXvLpUtxuYUWkm6O8XGaxieFQogWzFJl5x9fHKNtfBgThtzMuZziBjmur6Yi9xZ9iIZAtYrcwgpfR/GJJlLPhRDesHH7SUot1dw3tjPqAN/d/ezvau5CDyK3hXZoS6EQooUqKK7kq/9c4PYerWgX750O7OYkMlRLnlkKhRCiBdm0/RQqlYpJQ9r5OkqTEB6qpaSimso6+l6aIykUQrRAFwoqyDxwkTv7JroW5xHuhYfWdGjnF7W8pVGbRk+SEKJBbfz2JEEaNeMHtvVZBk9GRnlzrYn6ulQocs0Vjbocqz+QQiFEC2F3gtVm58zFMvYcNTFuYFsC1AGuD2vFbGnUD2ZPRkZ5e62J+gjTaVABeWY5oxBCNFNWm51dh/LYuuscQRo1kXptrcWAwvTB3NyqZX1Tro9AdQBR4UFcbIEd2tJHIUQLcrHQUnPTWIfoek0fLmoYo3RSKIQQzZeiKPznqAldcCCd20T6Ok6TZIwK4aLZUu/FmJo6ufQkRAuRfdJMQUkVg7rFoVbLd8TrERetw1rtINdsIeKy6U4UswXLT309TWlqEk9JoRCiBXA6FdJ3nCJMp6FDYoSv4zRZl1a7+3ZvDvExPy9gdPl6GU1pahJPeVT3fve735GZmentLEIIL/n+YB65hRZ6dYolQKbquG6GqBAASi0ta1lUjwrF6NGjefPNN0lOTubdd9+luLjYy7GEEA3F7nCycftJWhtCadfCxv83tMiwmmVRSyukUFxh0qRJfPjhh7z55psUFhYybdo05s2bx/79+72dTwhxg77bl4OpuIqJQ9pfdd164bkAlYownUYKxbU4nU7OnDnD6dOncTgcxMTEsHDhQl5//XVv5hNC3ACrzcEnmafp1DqCW9tF+TpOsxAeqm1xhcKjHpdly5axYcMG2rRpw4wZM3jttdfQaDRYLBZGjhzJ3LlzvZ1TCHEdtu05T0l5NY9M7i5nEw0kIlTLufxynE6lxfT3eFQozGYzq1atokuXLrWe1+l0vPLKK14JJoS4MZYqG5//+wxJN8dwS5vIOudVEp4JD9WiKFBeaXPN/9TceXTpyeFwXFEkLp1FDB06tOFTCSFuWMYPZ6mosjN12M2+jtKsXCoOJS3o8pPbM4oFCxaQl5fHnj17MJvNruftdjvnzp2r8+Dp6emsWLECu93Offfdx8yZM2tt/+KLL3jjjTdQFIXWrVvz5z//mYiICHJycpg3bx6FhYW0b9+eJUuWEBoaep0/ohAtT0m5lS27ztG/i7HFzXTqbeG6mkLRkvop3J5RTJs2jTFjxqDX60lOTnb9N2nSJFatWuX2wHl5eSxbtow1a9awceNG1q5dy/Hjx13by8vLWbhwIStXruSTTz6hc+fOvPHGGwA899xzzJgxg4yMDLp3786bb77ZAD+qEC3HJztO43AocjbhBUFaNUEadYsqFG7PKJKSkkhKSmLIkCHExcXV68CZmZkMHDiQyMhIAJKTk8nIyODxxx8HwGazsWDBAtdxO3fuTHp6OjabjV27drF8+XIApk6dym9/+1vmzZtX359NiBbpotnCN3tzGN67FXHRurp3EPUWHtqyhsi6LRS///3vee2113jooYeuuj09Pf2a++bn52Mw/DyXvNForHXfRVRUFKNHjwagqqqKlStXcu+991JUVIRerycwsCaawWAgLy8PIYRnNnx7Ek1gAJMGt/N1lGYrPFRLTkGFr2M0GreFYvbs2QD86U9/qveBnU5nreF4iqJcdXheWVkZjz32GF26dGHKlCnk5eVd0a6+w/piYvQetTMY/PfarT9nA//O58/ZwLv5jp4tYvfhfKaP7kzH9rG1tilmC2F698ueajSBftvmWm19kSc2UseJC6UEB2vQBKpr5dPpgjD42Zncjf6bc1sounfvDsBtt93GuXPnaNOmDV9//TUHDhxg1qxZbg8cHx/P7t27XY9NJhNGo7FWm/z8fB588EEGDhzI008/DUB0dDRlZWU4HA7UavVV96tLYWHNGGd3DIYwTKayeh23sfhzNvDvfP6cDbyXz+6Eqmobb63fjz5EQ59OMZw+X1SrjVPBNXHd1YTpg7HZ7G7bAD5pc/mke/6QJyiw5strrqmMqLDgWvksFismh8PtcRqTJ//mAgJUbr9gezQ89tlnn2XVqlWcOHGCZ555hvPnz7s+2K9l8ODB7Ny5E7PZTGVlJVu2bGHYsGGu7Q6Hgzlz5jBu3Dj++Mc/us4aNBoN/fr14/PPPwdg48aNtfYTQlzJarOz/usTHDtfwq3tosg+WciuQ3m1/rM7nb6O2WyEhV4a+WTzcZLG4dENd9nZ2axbt46VK1cyZcoU/vCHPzB16lS3+8TFxZGamsqsWbOw2WxMmzaNHj16MHv2bObOncvFixc5ePAgDoeDzZs3AzVnMC+++CILFixg/vz5rFixgoSEBJYuXXrjP6kQzVi13cGeIyYi9VpukUWJvC5MpwGgrIXMIutRoVAUhYCAAHbs2MGcOXOAmg7ouqSkpJCSklLruUvDapOSkjh8+PBV90tMTOSDDz7wJJoQAvhqzwXKK22M7t+6xUwr4UvaQDXBWjWllpZxRuHRpaebbrqJ2bNnc/78eW677Tb+8Ic/0LlzZ29nE0J4wFxaxZYfznJTnJ6EGLkxtbGE6TSUtZAhsh6dUfz5z39m69at9O3b19WHcNddd3k5mhDCE+u+PoFTUejb2VB3Y9FgwnVacgstvo7RKDw6o9DpdPTr14/S0lIOHDhAjx49OHnypLezCSHqcOCUmX8fzOPOfm0I07WMCer8RVioFovVjt3R/AcJeHRG8dprr/G3v/2NmJgY13MqlYovv/zSa8GEEO5Zqx38X8Zh4qJ1JN92E3uPmXwdqUX5uUPbRlQzX4bco0KxadMmtmzZUu9pPIQQ3pP23UkKSqr4nxm90QR6vAaZaCCXzuBawsgnj/51JSQkSJEQwo+cyi1l6+5zjOjVis43ycp1vhD+0xlFSxj55NEZxaBBg1i8eDF33nknwcE/3+LerVs3rwUTQlydze7kvc8PExGqZdqIjr6O02JpNTWzyLaEkU8eFYoNGzYAkJGR4XpO+iiE8I0N357gvKmcub/qgS7Yo7ew8JIwnYYyOaOosW3bNm/nEEJ4IPtUIZt/OMfIPon06hRb9w7Cq8JDtVw0N/8hsh71UVRUVLBo0SLuu+8+iouLefbZZ6moaDlT7ArhD0ot1bz76SFaxYby65FyyckfhOk0WKqa/xBZjwrFCy+8QFhYGIWFhQQFBVFeXs6zzz7r7WxCiJ8oisJ7nx2iosrOw5O6odWofR1J8PPIp+a+iJFHheLQoUOkpqYSGBhISEgIS5Ys4dChQ97OJoT4yac7z7DvRCF3j+xAG6Nn660I77s08qmk3OrjJN7lUaEICKjdzOFwXPGcEMI79h0vYOO3JxnYLY5RfVv7Oo64zKUziuJmXig86szu378///u//0tVVRXfffcdH374IQMGDPB2NiFavItmCyvTD5Jo1HP3yI5Yqq++IE4d63QJLwnSqtFqAigpb96XnjwqFE8++SQrV64kLCyMV199laFDh/Loo496O5sQLZqlys4b6/ejDlBxW1cj+44XXLNtz1tkQkBfCddpm/2lpzoLxdatW3n33Xc5cuQIwcHBdO7cmT59+hAUFNQY+YRokewOJ3/dsJ/8okoenZrU7D+ImrIwnYaCkub99+O2UPzrX/9i2bJlzJ07ly5duqBSqcjKyuLFF1/EarUyZsyYxsopRLNkd9YsY3o5RVH4IOMIh88Wc29yZzq2jmTP4TwfJRR1CdNpOZ1bhsPpRN1M+27dFoq///3vvP/++7Rq1cr1XIcOHejZsydPP/20FAohbpDVZmfXodpF4MejJrJOmunVKRaVClnr2s+Fh2pQgHKLjQh987zS4rb8VVRU1CoSl7Rv3x6rtXmfagnhC4dOF5F10kyn1hEk3Rzt6zjCAz/PItt8p/JwWyjU6mvf1KMoMsxCiIZ07Hwxuw7nc1OcngG3xqFSydrXTUGYaxbZ5jvyyasX1NLT0xk/fjxjxoxh9erV12z31FNPuSYeBEhLS2Po0KFMnjyZyZMns2zZMm/GFMLnTuWWsjM7j1axodzesxUBAVIkmoogTc0Q2eZ8RuG2j+LIkSP06dPniucVRaG62n31zMvLY9myZWzYsAGtVsv06dMZMGAAHTt2rNVmwYIF7Ny5k4EDB7qez87OZv78+UycOLG+P48QTc65/HK2788lLiqEEb1boZYi0aSoVCoi9UHNehoPt4Vi69at133gzMxMBg4cSGRkJADJyclkZGTw+OOPu9qkp6dz5513utpckpWVxenTp3n77bfp3Lkzf/rTn4iIaOZrDYoW6cjZIr7Zm0N0eDAj+yYSqG6eo2aauwh9ELkFzXeiVLeFIjEx8boPnJ+fj8Hw801ARqOR/fv312rz0EMPAbBnz55azxsMBh544AH69OnD0qVLWbRoEa+88orHrx0T49lcOAZDmMfHbGz+nA38O58/Z4Of8+07amLlpgNEhQVx1/AOBGuv/nbUaAIJ0wdfdVtLanOttv6QOSJUy/Fzxeh0WnS6IAzROrfHaWw3+p7w2qonTqezVmecoiged84tX77c9eeHHnqI0aNH1+u1CwvLcdYxp4HBEIbJVFav4zYWf84G/p3Pn7PBz/kOnDLz+vr9GCJDGNojHlu1HVu1/ar72Gx2ysqr3B63IdqE6YMb7bXq2yZMH3zNtv6QOUIfhAJcNJVjaWvF5Lj6VCu+4Ml7IiBA5fYLttfOc+Pj4zGZTK7HJpMJo9FY535lZWW8//77rseKorgdfSVEU5N9spDX1u0nLkrH76b1uOaZhGg6Lt0/0VxHPnmtUAwePJidO3diNpuprKxky5YtDBs2rM79dDod77zzDvv27QPgww8/rPcZhRD+as/hPF5fn0WrGB1PzeiNPkTj60iiAUTof7qXoqJ5jnzy2leZuLg4UlNTmTVrFjabjWnTptGjRw9mz57N3LlzSUpKuup+arWaV199lYULF1JVVUW7du1YvHixt2IK0Wj2HivgzY3ZtIrV8eT0miJRYb365SbRtIQEBaJRB1DWTM8ovHrOm5KSQkpKSq3nVq1adUW7l19+udbjfv36kZaW5s1oQjSqzOxc/vbZYTq0juB3U5PkTKKZUalUhIVqKG2m91LIxVEhvGzr7nP844tjdG0bxcL/HkRFmfsOU9E0hem0mEub59+tDNoWwksURWHT9lP844tj9O4UyxN390AXLGcSzVW4TkN5pQ2Ho/lN4ihnFEJ4gdOp8I8vj/HlnvMMSYrn/nFdmu0U1KJGmE6LooC5zEr4TxMFNhdSKIRoYJYqG299coDsk2bG9G/DPXd0JEAm+Gv2Lk0OaCqupF2cf9/0WV9SKIRoQBfNFl5ftx9TcSWzxnZmRK/rn91ANC3hoTVnEabiSh8naXhSKIS4Dldbme7QGTPvfXaYABU89qskbm0Xe8XwV8VswXLZc3VMICCakGCtmkC1ioLi5tehLYVCiOtw+cp0iqJw+Ewxuw/nE6HXMrJPIsVlViqs1ew7aqq13y+nouh5iwHRPKhUKsJ0WjmjEELU5nA6+f5gPsfPl9DGqGdojwQ0gdJp3VKF6TRSKIQQP6u02vn6xxxMxZUk3Rz90xrX0mndkoXrtFwwFeFwOpvVKDcpFEJch/P55Xy+8wxV1Q5u75lA+4RwX0cSfiAsVIPDqWAutWKIDPF1nAYjhUKIetp9OJ93Pj1IoDqAsQNuIibC/RoGouUI++n+ibwiixQKITx1tdFBvxSkCaQpXNZ3KgrpO06zafsp2sWH0a+LEV2wvIXEz8J/upciv6gS2vs4TAOSf+XCqy4fHXQt/bvGERjk3/8UrdUO3v3sILuPmBjcPZ5pIzuy95ip7h1FixISFIgmMKCmUDQj/v3uFMIPFJZU8cb6/ZzLL+eekR1Jvq0Nlmr/WcFM+A+VSoUhMkQKhRAtyZmLZbz6z31U2x38/u4e9OgQ6+tIws/FRgaTV2TxdYwGJYVCiF+41K9y6IyZd9MPoQsO5Il7etEqNtR1p7XcUS2uxRgZwsFTZpxOhYCA5jFcWgqFEL9gtdn5x9aj7DxwkUh9EHf2TeSCqZwLpnJXG7mjWlxLbGQIdoeCuayK2IjmMfKpCYw1EaLxKIpCxr/PkJl9kfhoHckD2sgaEqJeLg2LbU79FFIohPiJ3eHk/zIO89nOM9zcKpw7+rZGG6j2dSzRxBgia+6ryWtGhUIuPQkBVFXbWbHxAFknC0kecBPGyGCZjkNclwh9EJrAAPLMzadD26tnFOnp6YwfP54xY8awevXqa7Z76qmn2LBhg+txTk4OM2fOZOzYsTzyyCNUVFR4M6Zo4UrKrfxl9Y9knypk1tjOTBzcToqEuG4BKhXx0TpyC6VQ1CkvL49ly5axZs0aNm7cyNq1azl+/PgVbebMmcPmzZtrPf/cc88xY8YMMjIy6N69O2+++aa3YooWLrewghc/2EOuuYLf/aqHLDQkGkRCjI7cwubzBddrhSIzM5OBAwcSGRmJTqcjOTmZjIyMWm3S09O58847GTdunOs5m83Grl27SE5OBmDq1KlX7CdEQzh2vpiXPtiD1ebgf2b0oVdHuUdCNIxWMaEUllRhtTWPGzO91keRn5+PwfDzEEKj0cj+/ftrtXnooYcA2LNnj+u5oqIi9Ho9gYE10QwGA3l57qeA+KWYGL1H7QwG/1rXtsxSTWWVnXyzBdRX70QNCQ50TTzmS57+7hSzhTC9+0nzdLogDNG6hogFeJZtx/4cXvloL4bIEBbOHkRCbKhrmyeZNZrA625z+XM3cpyW1uZabf0l86XndbogOt8cg7L9FFYntPaDz5kb/azzWqFwOp21rvMqiuLRdd+rtavv9eLCwnKcddwRZTCEYTKV1eu43lZhrZkX6ZeroF2uf9c4qiqsjZystvr87ixW+zV/FlcbixWTo2G+edWVze6EzT+cYcPXJ2ibEMbDk7tjrarm9PlqVxunQp2Zbba6f66rtfnl3+31HscbbcL0wX6V5/I27t4T/pD58nwWi5VQTc3FmoPHTYQH+XbknCfv14AAldsv2F4rFPHx8ezevdv12GQyYTQa69wvOjqasrIyHA4HarXa4/2EqItTUfjoy2Ns23OeNkY9g7vHc+i0+Yp2cjOduFFxUTpUKshpJh3aXuujGDx4MDt37sRsNlNZWcmWLVsYNmxYnftpNBr69evH559/DsDGjRs92k8Id2x2B29vOsC2PefpfFMkw3u3IlAttxEJ79AEBmCMDGk2HdpeO6OIi4sjNTWVWbNmYbPZmDZtGj169GD27NnMnTuXpKSka+67YMEC5s+fz4oVK0hISGDp0qXeiim8SFEUzuWXc/x8CVXVdoI0asL1WgwRIY06B05FlY031mdx9Fwxk29vT7hOI8NfhdclxIRysZmcUXj1hruUlBRSUlJqPbdq1aor2r388su1HicmJvLBBx94M5rwIqvNwTd7c9iy6yzm0iv7U4I0ajokhnNru+gGXfjH7oR8swWL9eeFksylVaxIy8ZUXMl947rQp7ORPYfrNzhCiOuREKMj62Rhs1g/W+7MFg3q0Gkz7/3rMAUlVXS5KZJxA9tiqbIRrA3EanNQUFLFmYtlHDpdxNFzxfTqGEvfzg3TB2W12Tl8stDVqWgqruSr/1zA4VS4s29rFEXB7nQ2yGsJUZdWsaE4nAp55kpaXTaqrimSQiEahFNR+GT7KT7ZcZq4qBCe+k1vurSNco3kgprrtvoQDe3iwyizVLPrUD67j5jIL67iwQldaWP0bFizJ07llrIj6yK6oEDG3JZIpD6owY4thCdaG2r+PV8oqJBCIYTN7mBl+kH2HDExJCme347pTJDG/ZDAMJ2WkX0SOX2xjB+PFrDo/V3cdXt7xg1oe0P9Fw6nwn+Omsg+acYYFcKI3q0I1so/c9H4EmJqRj6dzy+nf5emPXJT3kHiutmdUGqxsnLTAY6eK2bKsJsZ2ScRu1PB7sECPyqVivYJ4UwY1I51X59g/TcnyTpRyEMTbyU2sv7z+BcUV5L29XHyzBY6tY7gtluNTf7asGi6tBo1cVE6zl+2jklTJYVCXLfyymqW/ONH8gotDEmKJ0ynYffh/FptPLknITREwyOTu5HZIYbVW4/y7N9+4FfDOzCyd6JHZxdORWH7/lw++vIYTkVhWM8E2iWEX/fPJURDaW0I5Wy+FArRQtkdTt777BAXfyoSHRIjbuh4KpWKIUkJ3NImkr9nHGb11qN8szeHyUPb07tT7FULhlNR2HesgPTM05y+WEaHxHAG90hEpUiHtfAPiQY9e46YsFY7CNI23bVNpFCIenM4Ff722SGyThZyW1fjDReJyxkiQ/h/v+7FrsP5bPj2JMvTsojQa+nZIYab4sII0QZSUWXjvKmC/ScKKC6vJjYimNkpt5LUIYYj50vrnIZBiMbS2hCKAuQUVtC+CZ/lSqEQ9fa39Gz+fTCPlCHtiApr+NFEKpWK27rG0bezgb3HCsjMvsieIya+3ZfrahMSpObWdtHc1jWOPrfEog4IoOKy+yeE8AeXRj6dN5VLoRAtx5d7zvPJtycZ1bc1Y267yTX01RvUAQH07Wykb2cjiqJQXF6N1eYgRKsmPFQrd1cLv2eIDEEbGMD5/KY9lYcUCuGxvccLWPPFUQZ0i2f6nZ2obMS59lUqlVfOXoTwpoAAFYkGPefy/Wum6vqSsYPCI2fzynh70wFuMobx5My+jTpXkxBNWdv4MM7kleFU3C994M+kUIg6lVmqeWN9FrrgQH5/dw+Cg+REVAhPtY3TU2l1UFBc6eso100KhXDL4XSyYmM2JRXVPD41SabCEKKe2sbXrC53Nq/p3k8hhUK49fG2Exw+W8x9Yzs36VEbQvhKYqwedYCKM3lNt59CCoW4pszsXLbuPseovq0ZkpTg6zhCNEmawABaxYZy5mLTLRRysVlc1emLpfxfxhG63BTJPXd09OprqQJUdd4DoQkMxGZ336aOZdKF8Jm2cWHsO1GAoihNcli3FIoWyu6sWb/hai51XofpNMwa1wWr3YnV/vO0GMpPiwM11Aez1eZg31GT2zY9bzF41EYIf9Q2PoztWbkUlVmJDg/2dZx6k0LRQllt9qveLOd0KmzddY7Simrm3tOTw2eKrmgTpg+mrLxKPpiF8NDNrWr6907klDbJQiF9FKKW3YfzySuqZFD3eFo34EJCQrRkbYx6NIEBnLhQ4uso10UKhXA5caGEw2eL6do2yvUNSAhx4wLVAbSND+NEjhSKK6SnpzN+/HjGjBnD6tWrr9h+6NAhpk6dSnJyMn/84x+x/9RZmZaWxtChQ5k8eTKTJ09m2bJl3owpgMKSKnYeyCM+WkffznJJSYiG1rFVBGculmGzN71p8L1WKPLy8li2bBlr1qxh48aNrF27luPHj9dqM2/ePJ599lk2b96Moih8/PHHAGRnZzN//nw2bdrEpk2bSE1N9VZMAVRV2/nqxwuEaNUM65Ug03MI4QU3twrH7lA42wTvp/BaocjMzGTgwIFERkai0+lITk4mIyPDtf3ChQtUVVXRq1cvAKZOneranpWVRVpaGikpKTz55JOUlDTN07WmwOlU+GZvDtZqByN6J8r60kJ4yaV1W07klPo4Sf157VMhPz8fg+HnSxhGo5H9+/dfc7vBYCAvL8/15wceeIA+ffqwdOlSFi1axCuvvOLxa8fEeNYJazCEeXzMxqCYLYTpa0ZEXPr/L+l0QRiidQ32Wtv3XiDPXMmo/m1olxhZq41GE3jNHGH6YLfbPTmGN9pcyuYvea7W5vLn/CFPU2lzrbb+kvnS89d6jxoMYRijQjhrKm/0z54bfT2vFQqn01nrxpJf3mjibvvy5ctdzz/00EOMHj26Xq9dWFiOs45B/gZDGCaTf50CWqx2ysqrXMNPr9rGYsXkuPHpvS1WO7sO5rLveAFd2kbSKkZ3xWvabPar5riU71rbPTmGt9oAbtv5OvMv/259neeX2fwpz+Vt3L0n/CHz5fncvUc7JUaw71gBefmlBDTSjXeefNYFBKjcfsH22qWn+Ph4TKafb5AymUwYjcZrbi8oKMBoNFJWVsb777/vel5RFNTqprvWrL/68aiJHw7m09oQSr/Oxrp3EELcsC5toyivtHHB1LQWMvJaoRg8eDA7d+7EbDZTWVnJli1bGDZsmGt7YmIiQUFB7NmzB4BNmzYxbNgwdDod77zzDvv27QPgww8/rPcZRXNgdzgps1RTWlGNo4Hnpjh8poi/ZxzGEBnMsF6tpPNaiEbS5aYoAA5d5UZWf+a1S09xcXGkpqYya9YsbDYb06ZNo0ePHsyePZu5c+eSlJTEkiVLeOaZZygvL6dbt27MmjULtVrNq6++ysKFC6mqqqJdu3YsXrzYWzH9iqIonM4t5WTuBS6Yyrm0zokKiI0MoV18GD06xBJ6A+tBHL9Qwhsb9hMbEcLwXq0IVMutNEI0lpiIYIxRIRw+U8SY/m18HcdjXh3ikpKSQkpKSq3nVq1a5fpzly5dWLdu3RX79evXj7S0NG9G8zv5RRbe/uQgp3JLidBrubVdNBGhWlQqKKmo5oKpgl2H8zlwysyofq0Z1a8N+hBNvV4j62Qhy9OyiNQH8ejU7hw/L6PJhGhsXdtG8cOhPBxOJ+qApvFFTcZC+oEDp8ys2JgNwKDu8fTqbKSiwlqrTZ9bDJiKKzlvquCTHafZ/MM57uibSPJtNxGu07o9vsPp5LPMM2zaforWRj3/756eBGrUgBQKIRpb17ZRfLM3h1O5ZXT8acisv5NC4WN7jxfwZloW8dE6Hpx4K6dyrz0awhAZwvhB7SgqqeLTnafJ+PdZtu25wIjerRjWsxUJMaG12jucTrJOmFn/7QkumCoY1C2eWcmdCdKq65zWWwjhHd3aR6MOULHveIEUClG3A6fNLN+QRRujnj9M7wUqFady674Zp7VRz5zJ3Zk0pIJPM0+zZdc5Nv9wjrioEG6KCyMkSE1phY2TuaWUVlQTGxHMY1O60+cWQ5OcC1+I5iQ0WMMtbSLZe6yAXw3v4Os4HpFC4SPnTeU1ZxIxOp6c3gtdsKbe3/JbxYby35O68es7OvL9oXyOnC3izMUyrDYH+hANXdtG0b+LkR4dYqTTWgg/0qtjLP/48hj5RRaMUTd+A623SaHwgYoqG6+v249Wo+aJaT3RBdevU/qXIvRBjOnfpkmNohCiJevZqaZQ7D1eyJj+/l8o5GtmI1MUhXc/PURRmZXHpiQRE9H0FjERQtwYY2QIiYZQdh/J93UUj0ihaGQZP5xl7/EC7rmjY5PpyBJCNLyBt8Zx/HwJ+UUWX0epkxSKRnTkbBHrvz5Jvy5GRvVt7es4QggfGtQtHhWw88CVSxL7GykUjaSk3Mpbmw5giArhv8Z1kdFHQrRw0eHBdGkbRWZ2LorSsNP0NDQpFI3A6VR4+5MDVFrtPHZXd0JuYAoOVYCKCqvd7X9NcAEtIVqkIUnxmIqrOHy22NdR3JJRT41g/TcnOHy2mAcndKW10bO1Mq7FanOw76jJbZv+XeMIvIFiJIRoHP06G1m77TibfzhL17ZRvo5zTfJp4mU/HMrjX9+fZWTvRIYkJTTKa14663CngSekFUJcB61GzZ19WrNx+ykuFFSQGBta904+IIXCi87mlfG3zw/RqXUEvxnVqdFe15Ozjp63GNxuF0I0jpF9Evn832fI+P4MD0641ddxrkr6KLykvNLGXzdkERqs4dG7usud0UKIqwrTaRnRO5HM7IuczfOvVTcvkU8vL7DaHLy+bj/F5VYendKdCH2QryMJIfxYypB2hAZr+OjLY345AkoKRQOz2Z2s2JjNiZwSHp7UjQ6t5KY6IYR7ocEa7rq9PYfPFpOZfdHXca4ghaIBVdscvLF+P/tPFHLf2C70lbWohRAeGt6rFbe0ieTDLUe5aPavu7WlUDSQ4nIrf1nzIwdOmfmvcV0Y1rOVryMJIZoQdUAA/51yK5rAAJZvyKK80ubrSC5SKBrAgVNmFr2/i5yCCh6bmsTtUiSEENchOjyYRyZ3I6+oklc+2us3xUIKxQ0oLrfyt88P8cravYQEBfL//bYPfWTYqRDiBnRtF83jU7tzoaCc597b5dFiZt7m1UKRnp7O+PHjGTNmDKtXr75i+6FDh5g6dSrJycn88Y9/xG6vuUksJyeHmTNnMnbsWB555BEqKiq8GbNeFEXhXH45H2w+wvy3drIz+yJjB9zEgvv7c1NcmK/jCSGagR4dYpk/sy+g8MLfd/N/GYcxFVf6LI/XbrjLy8tj2bJlbNiwAa1Wy/Tp0xkwYAAdO3Z0tZk3bx4vvPACvXr14umnn+bjjz9mxowZPPfcc8yYMYMJEyawfPly3nzzTebNm+etqG7Z7A4KSqo4mVPK8QslHD1XTG6hhUC1ioHd4pkwqC1xTWCFKiFE03Jzq3AWPnAbm7af4qv/XODbvTl0aRtFzw4xtG8VTkJMKPqQG1v0zFNeKxSZmZkMHDiQyMhIAJKTk8nIyODxxx8H4MKFC1RVVdGrVy8Apk6dyuuvv87dd9/Nrl27WL58uev53/72t/UqFAEBns3Menm7qmoHm384S2l5NVU2Oxarg5KKasot1a42wdpAOiRGMGlIe5I6xDT4X1KgOgBdsIaQoEAc9qsf+1IbT47jrTaX8vlDll+2cfe780WeX7b5ZT5f5/llNn/Kc3mbpvKeuNTG08+guoTptPx2TGcmDm7HD4fy2H+ikG0/XoAfLwCg12mJ0GnRBavRBWsY0SuRRMOV04DUlaeu7V4rFPn5+RgMP1+vNxqN7N+//5rbDQYDeXl5FBUVodfrCQwMrPV8fURFeTZfSkxM7Qn6HpicVK/X8YbWCXXfd3Fz67onD2usNv6URdpIG39p09BiYvR0aBvDb25g/xvhtT4Kp9NZa80FRVFqPb7W9l+2A2TtBiGE8CGvFYr4+HhMpp8npjOZTBiNxmtuLygowGg0Eh0dTVlZGQ6H46r7CSGEaFxeKxSDBw9m586dmM1mKisr2bJlC8OGDXNtT0xMJCgoiD179gCwadMmhg0bhkajoV+/fnz++ecAbNy4sdZ+QgghGpdK8eIMVOnp6bz99tvYbDamTZvG7NmzmT17NnPnziUpKYnDhw/zzDPPUF5eTrdu3fjzn/+MVqvlwoULzJ8/n8LCQhISEli6dCkRETJnkhBC+IJXC4UQQoimT+7MFkII4ZYUCiGEEG5JoRBCCOGWFAohhBButbhC8de//pUJEyYwYcIEFi9e7Os4V3jttdcYP348EyZM4L333vN1nKv6y1/+wvz5830d4wr33nsvEyZMYPLkyUyePJl9+/b5OpLLtm3bmDp1KuPGjeOFF17wdRyXf/7zn67f1+TJk+nbty+LFi3ydaxaNm3a5HrP/uUvf/F1nFpWrlxJcnIyKSkprFixwtdxACgvL2fixImcP38eqJlOKSUlhTFjxrBs2bLrO6jSguzYsUP59a9/rVitVqW6ulqZNWuWsmXLFl/Hcvn++++V6dOnKzabTamsrFRGjhypnDhxwtexasnMzFQGDBig/M///I+vo9TidDqVoUOHKjabzddRrnD27Fll6NChSm5urlJdXa385je/Ub7++mtfx7rC0aNHldGjRyuFhYW+juJisViU/v37K4WFhYrNZlOmTZum7Nixw9exFEWp+TyZOHGiUlZWptjtduXhhx9WNm/e7NNMe/fuVSZOnKh069ZNOXfunFJZWakMHz5cOXv2rGKz2ZQHHnjguv7ttagzCoPBwPz589FqtWg0Gjp06EBOTo6vY7ncdttt/P3vfycwMJDCwkIcDgc6nf/MTFtcXMyyZcuYM2eOr6Nc4eTJkwA88MADTJo0iQ8//NDHiX62detWxo8fT3x8PBqNhmXLltGzZ09fx7rCwoULSU1NJTo62tdRXBwOB06nk8rKSux2O3a7naCgIF/HAuDgwYMMHToUvV6PWq3m9ttv54svvvBppo8//pgFCxa4ZrPYv38/bdu2pU2bNgQGBpKSkkJGRka9j9uiCkWnTp1cs9WePn2af/3rXwwfPty3oX5Bo9Hw+uuvM2HCBAYNGkRcXJyvI7k8++yzpKamEh4e7usoVygtLWXQoEEsX76c999/n48++ogdO3b4OhYAZ86cweFwMGfOHCZPnsyaNWv87gbSzMxMqqqqGDdunK+j1KLX6/n973/PuHHjGD58OImJifTp08fXsQDo1q0b27dvp7i4GKvVyrZt2ygoKPBpphdffJF+/fq5Hl9tctb6TrIKLaxQXHLs2DEeeOABnnrqKdq1a+frOFeYO3cuO3fuJDc3l48//tjXcYCaa9kJCQkMGjTI11Guqnfv3ixevJiwsDCio6OZNm0a33zzja9jATXfinfu3MlLL73E2rVr2b9/P2lpab6OVctHH33Ef/3Xf/k6xhUOHz7M+vXr+eqrr/juu+8ICAjg3Xff9XUsAAYNGsTUqVO59957eeihh+jbty8aTeOsD+GpuiZn9VSLKxR79uzh/vvv5w9/+ANTpkzxdZxaTpw4waFDhwAICQlhzJgxHDlyxMepanz++efs2LGDyZMn8/rrr7Nt2zZeeuklX8dy2b17Nzt37nQ9VhTFNVW9r8XGxjJo0CCio6MJDg5m1KhRtabc97Xq6mp27drFHXfc4esoV9i+fTuDBg0iJiYGrVbL1KlT+eGHH3wdC6jpNB4zZgzp6el88MEHaLVa2rRp4+tYtdQ1OaunWlShyM3N5bHHHmPJkiVMmDDB13GucP78eZ555hmqq6uprq7myy+/pG/fvr6OBcB7773Hp59+yqZNm5g7dy533HEHTz/9tK9juZSVlbF48WKsVivl5eWkpaUxevRoX8cCYOTIkWzfvp3S0lIcDgffffcd3bp183UslyNHjtCuXTu/6g+7pEuXLmRmZmKxWFAUhW3btpGU5Pt1Y6Dm/froo49it9spKytj3bp1fnfprmfPnpw6dcp1+fPTTz+9rklW/eMrVyN59913sVqtvPzyy67npk+fzm9+c73LgTSs4cOHs3//fu666y7UajVjxozxy4Lmj0aOHMm+ffu46667cDqdzJgxg969e/s6FlDzZn3ooYeYMWMGNpuNIUOG8Ktf/crXsVzOnTtHfHy8r2Nc1dChQzl48CBTp05Fo9GQlJTEf//3f/s6FlBTxMaMGcOkSZNwOBzcf//9fvPF7pKgoCBefvllfve732G1Whk+fDhjx46t93FkUkAhhBButahLT0IIIepPCoUQQgi3pFAIIYRwSwqFEEIIt6RQCCGEcKtFDY8VLdMLL7zArl27gJqbGhMTEwkODgZg7dq1rj9f8vXXX7Nv3z5+//vfuz3uvffey8yZM13DDdPS0vjoo4+oqqrCZrPRt29f5s2bR3h4OG+88QZFRUU8++yzXvgJhfAuKRSi2XvmmWdcf77jjjtYsmSJ25u2srKyKCkpqddrvPXWW3z77bcsX76c2NhYbDYbL730EnPmzGHNmjXXnV0IfyCFQrRYy5cv57PPPkOtVtO+fXv+9Kc/kZOTw0cffYTD4SAsLIyHH36YhQsXcubMGYqLiwkNDWXJkiXcfPPNruNYLBbefvtt0tLSiI2NBWomd3zqqafYunUr1dXVQM0Mt/feey8mk4nY2FiWLl2K0Wjkq6++4u2336a6uhqz2cxdd93FE088wffff8+LL76ITqejoqKC9evX8/7777Nu3TpCQ0Pp168fX375Jdu2baO6upolS5awa9cuHA4Ht956K8888wx6vZ41a9bw0UcfodFoCAoKYtGiRXTs2NEnv3PRNEkfhWiR1q9fz3fffce6detIT0+nU6dOzJ8/n549ezJ9+nTGjx9Pamoq3377LeHh4axdu5bNmzfTvXt3Vq9eXetYJ0+eJDg4+IoJJkNCQpg0aRJarRaouQP6tddeIyMjg/DwcP75z3+iKAp/+9vfePnll9mwYQNr165l5cqVmM1moGYCy1deeYX09HS+//57NmzYwLp169iwYQMVFRWu11q5ciVqtZoNGzbwySefYDQaWbJkCQ6Hg5deeol33nmH9evXc88997Bnzx7v/nJFsyNnFKJF+vbbb5k6daprfqNZs2bx1ltvub79XzJ27FjatGnDBx98wJkzZ/jhhx+umBokICAAp9NZ52sOGTLEtdZDly5dMJvNqFQq3nrrLb7++ms+/fRTTpw4gaIoVFZWApCQkEBiYiIA33zzDWPHjnVN8z5z5kz+/e9/AzX9KmVlZWRmZgJgs9mIiYlBrVYzduxYpk+fzogRIxg6dKjfTa0v/J8UCtEi/XL6ZafTid1uv6LdmjVr+Pjjj5k5cyYpKSlERka6lpi8pGPHjtjtdk6fPl3rrMJqtfL444+7lj69fDZblUqFoihYLBamTJnCqFGj6NevH7/61a/44osvuDSzzuUT9QUGBnL5jDtqtbpW/qefftpVBCoqKrBarQAsWbKEo0ePkpmZycqVK9m0aROvvfZavX9nouWSS0+iRbr99ttZv349FosFgA8++ID+/fuj1WpRq9WuorF9+3amTJnC3XffTfv27dm2bRsOh6PWsbRaLbNnz+aPf/yja+Ga6upqXnrpJSorK90uPnXmzBnKy8t54oknuOOOO/j++++prq6+6hnK8OHD2bJlC2VlZQCsW7fOtW3o0KGsXr3ate+f/vQnli5ditlsZvjw4URGRnL//ffzxBNPkJWVdWO/PNHiyBmFaJGmTZtGbm4ud999N06nk7Zt27JkyRIABg4cyJNPPsnzzz/PAw88wLPPPuv6UO7VqxdHjx694nhz5swhJCSEBx98EKg5m7jtttt488033ebo3LkzI0aMYNy4cWi1Wm655RY6duzImTNnXH0blwwaNIh77rmHX//61wQHB9OpUydCQkIAePTRR/nLX/7ClClTcDgcdO3alfnz56PX63nkkUe4//77CQ4ORq1Wu85whPCUzB4rRBORlZXFjz/+yKxZs4CaNUL27dvHq6++6ttgotmTQiFEE1FeXs7TTz/NyZMnUalUJCQk8Pzzz/vVuuqieZJCIYQQwi3pzBZCCOGWFAohhBBuSaEQQgjhlhQKIYQQbkmhEEII4ZYUCiGEEG79/+iiaNr1GjNDAAAAAElFTkSuQmCC",
-                        "text/plain": [
-                            "<Figure size 432x288 with 1 Axes>"
-                        ]
-                    },
-                    "metadata": {},
-                    "output_type": "display_data"
-                }
-            ],
-            "source": [
-                "# logarithmic transformation\n",
-                "log_charges = np.log(data_no_mv[\"TotalCharges\"])\n",
-                "sns.distplot(log_charges)"
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "- Auch die Transformation mit Hilfe des Logarithmus führt nicht zu einer Normalverteilung.\n",
-                "- Vor weiteren Transformationen sollte zunächst die Korrelation mit anderen Variablen untersucht werden.\n"
-            ]
-        }, {
-            "cell_type": "code",
-            "execution_count": 155,
-            "metadata": {},
-            "outputs": [{
-                    "data": {
-                        "text/plain": [
-                            "<AxesSubplot:xlabel='TotalCharges', ylabel='Density'>"
-                        ]
-                    },
-                    "execution_count": 155,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                }, {
-                    "data": {
-                        "image/png": 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",
-                        "text/plain": [
-                            "<Figure size 432x288 with 1 Axes>"
-                        ]
-                    },
-                    "metadata": {},
-                    "output_type": "display_data"
-                }
-            ],
-            "source": [
-                "sns.distplot(data_no_mv[data_no_mv.Churn == 'No'][\"TotalCharges\"],\n",
-                "             bins=10,\n",
-                "             color='orange',\n",
-                "             label='Non-Churn',\n",
-                "             kde=True)\n",
-                "sns.distplot(data_no_mv[data_no_mv.Churn == 'Yes'][\"TotalCharges\"],\n",
-                "             bins=10,\n",
-                "             color='blue',\n",
-                "             label='Churn',\n",
-                "             kde=True)"
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "\n",
-                "Die Verteilung ist über die gesamte Bandbreite der Kosten sowohl bei den abwandernden als auch bei den nicht abwandernden Kunden nahezu identisch.\n"
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "### Korrelationsanalyse"
-            ]
-        }, {
-            "cell_type": "code",
-            "execution_count": 156,
-            "metadata": {},
-            "outputs": [{
-                    "data": {
-                        "text/plain": [
-                            "<AxesSubplot:>"
-                        ]
-                    },
-                    "execution_count": 156,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                }, {
-                    "data": {
-                        "image/png": 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",
-                        "text/plain": [
-                            "<Figure size 432x288 with 2 Axes>"
-                        ]
-                    },
-                    "metadata": {},
-                    "output_type": "display_data"
-                }
-            ],
-            "source": [
-                "# correlation between continous features\n",
-                "feature_corr = numeric_data.drop(\"SeniorCitizen\", axis=1).corr()\n",
-                "sns.heatmap(feature_corr, annot=True, cmap='coolwarm')"
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "Die Korrelationsmatrix zeigt, dass die Attribute \"Tenure\" und \"TotalCharges\" eine kritische positive Korrelation von über 0,8 aufweisen. Diese Beziehung wird später im Zusammenhang mit der Multikollinearität erneut untersucht und muss entfernt werden."
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "### Streudiagramme mit kontinuierlichen Merkmalen und Ziel"
-            ]
-        }, {
-            "cell_type": "code",
-            "execution_count": 157,
-            "metadata": {},
-            "outputs": [{
-                    "data": {
-                        "text/plain": [
-                            "<AxesSubplot:xlabel='tenure', ylabel='MonthlyCharges'>"
-                        ]
-                    },
-                    "execution_count": 157,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                }, {
-                    "data": {
-                        "image/png": 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9Vj5yyeT0PoqmM6kqm7raXJKKhkkWWb+rNX0PTyXU1yysJDmY9zGbRCw5JswrP4saD2PKKmbtQYVCj87KyQVENDOvbz9BcDCUJgKH2uMjks3PbOnk6hW15Of7KCtw4bCZCJ0W8pLOsoTGKFvp/zDeaayCroKSRFeSdPb5KSssIin+c0nRlKZz0h+hsS1Afpad6iI39nf5Qp8J/z+wlU7h1ISUVHU27uvgideOoqgay2aWcsmiqnc9Mb4b+BwascZ9hPe9QaxpL4LZimfmKixlk4i6qwGDITO8ghZg+cxSrju3BmHwlQgnFQ429dPdH0UQBAqy7Ewo96V/cx14+q0mnntrKJm6ZHox1587lneac462BfnBgztGbP/hJxaQ637nFfZw9EWSvLLtJB6XhZNdIUrynBTnOvnZo7vT+4iiwN23LUTXdRRVI9ttwa6GwN+I0t+BnFeJll2BIhgeuyAIbNjfwX3PHUqfY2FdEZqqp41FXU0OHpeF9bvaAJg7qQB/f4yGtszc38cvn8KsmpzBe6jywuYW1m1pHrwO3LJ6IgsnF4CmI8siP3xoF4W5RrhIwFjVhWNJPn35FDRNpy+SJNTWSNax51FbDyDnVxOaeBnffqabaFxhXLmXeeN83PdSU8Y4xpR48bksbK/vwuuysHJeBY++fCT9eXmBixsvmEBl3ruX/xhlK/3HQUOL9KPFjMlNiwaJb3sb89xrUHh37A1BNJg3w4toxlf4+PQVU7H8G+lO/W/hlDvV1BHkoZcOp7e/tv0kRdkOzplefNbqH3RNJ3p8B7GmvUhOL1oywcDmp8nNLQe3sY/NJPLl62ewaX8Hh5r6WDiliCnV2WnDIA7+3vuO9zJtbC6aZoRDFEVj3oQ8dB36wgme35Q5Ia3f1cb5s8sp8I4MSQHkeK1IopCR7C3IsuNxvHvWjM9hxmGTWbu+gbwsOx6nhYfWHc7YR9N06lv6WDgxHxAwqVHCr/+RRPO+9D7uBVciTl6FpomIkpDB5AF4a0871543lpVzy0koGk6biU1727nm3Fpau8PMmpDPgy/WczriCSXtDERiqbRhAGPbIy8foW5MNk6LjKrqzBiXxwMvZo7/9htmcqw9QDSmUJRlJefoWlInjQo4peMojoFfce38j/PH17to7gjxwXOKsVtlosOS3Yvqinhw8LwDoQS7j3Tzheum09gWwG4xkZdlw3oWnRIYNQ7/dhBUBTWW6fVG9r2Gbco5KPaid3WOUDTFY8PCAWBIB3T0RqnIf2dPYhRDEEWB/aclHgHW72ljSV3RWUvm6ck4SmiArGXXkxroQjTbEM1WlFAv5A/t57GZWD23nIvmV6CqQ0qfsiyCYCTUfS4Lj7x8BEEQWDq9hJSqIYoiqqqRVEaqg9osMgjQ0BnCapbI89owDaO+ZjnNfOHa6fz6r/uIxFIUZNn5zNXTsJpEg+6pc8Zkt6LpdAfiROMK+T4bK2eXM6Eym46eMFXFHuqbe2FgaH+7VWZmfhLx2OvoiRhS0Ri0UOa9D779NLk1c4mbs9E1nYlV2SNyCmaTSGmOg5wcJ13+IElFpb6xnznVTg4c7WTxtBKeeuN4en9BgDHFnvR9CZ6BRRVLKEQTCk6LjK4bxmHnkW4ONhrXvva8sazfeZKthwwxUVkS+MpFF5HXedwIEwJaLMwYj3FuRdWwmwT+a7WPA90i4YTO1DHZrN3WlQ4JAtjMMpoK8aSKLIqc7Arj/id0ld4NRo3DvwFUTSeZUlE1HafpHTxSZeSD+05QNJ1EaiRbPXEWwm2SoCHHe0HT0GxZpN7laubfDbquU5o3UoW0utiDJKaldN4zJIcH59jZ9L7yp4xtOas/yen1sMNb5cYVjfqWfjbt62BCZRaiJKRDKrqu8/qOk3zsssnpfiHZLivlBS5aOg3HQxDg5gvH84MHdqQnxdkT8rlp1XhspkHTpxt5mB98fD6qDhZZJJlS2XSwi+31XZTkOVkwpYhSt44Q6gZBIGXL5bE3TvLajpOAYYDuuGU2tQU2xueAJpu49rxxfP/P29Pf63Mrc1Ge+z4DiVNhM4GsFTfR9/qDoA0+x5qSrubWNJ0Fkwo52NhLWb4LTYeOnjDTanLT+RkRgRvneYhse53kgb1ML6rFMekqnLbxPLuxEZfDzA0rx1HgG2IZ5vpsyJKYMUkXZNnxOS2oukFDdVlkPn3FVPqCxsQfiqd4eFj4R1F1/rShny9PXAoHXkpvN9kcXHNuLqIoEJI8xEwpZk8wIyDisApcsKCKRXUlDIQT5PnsWMwy37t/W/r4whwH48uH9JrOBkaNw/9xqJpOZ2+UlGK8BKrThFMywTBZA1N2CbjevVih225i7qQCthwYWno7rDKF77GYy6xGSO55noFd60DXsNXMwrHwOhIm73s67zvhFO9dVTUiCZWT/jCKqlGS68TnMJ0xUSn9DxQ3JUkc4QHrOkyo8HHlOTXIkoiOEQKaOS7vHxoGDegLJYwG7w4zfzeNqKkEd72UsUmNBFCCfTCMKCUKGuZYD1osCO58ntvRx1NvNhj7azrxxEhphf3He5g3Ph9V1TBLAl++ZhKJrma0UA9Wbw6b2wcyvOVth7pYVFfMxDLvsPug4zBL5Oa66OmN8PzmZp4bDE/tOeqn2p3Ae/Jpkm3GBGmuqKPEtYKSPCdel4Wm9gB6fxvx3euIt+zHUlTL5EUf4K6PzGV/Yx9Zbitj2EswMZyJoxOpfxtbxWRijXsAsJRPRrFlE4gpWEwiGoYX/9xbTYiiwEWLqtCBk71RjrYHGZMjEXzxl6T8Bgsq0bgbpauJ5Vd+i5rS6ZhkEY/NlPHbmE0in766jj89c5CBcIKiHAcfv3wKbb0RGtuDuOxmako8FOmd2PsaQBDYoY4bcd87+qKozgLSQaBxS+nSvbT6+1AUjZpSDydCEj96qp5ESuWqc2rQIb3aF0WB61eOI8ttpS9oCAV29EQIx8+ufMaocfg/CkFX0VVjxXDKMAD0R1JYvTmYlTBaIoZgsuBd/Rniwruf2EXg2nNrKciy89a+dioLPVyxbAwem/yemEt691FCO19I/x07th1zfjXipFVnVYMoqeocbR3g5W0nKMi2s3R6Cfc+c5CmdqMgzWaR+eatczKSoklF43h7kD3H/FQWe5hYkYXb+vcff7MSQuusJ3myHnPxWKSiCSRkd/pzQYDdR7oJhJOYTRKReIqZ4/++kQ4nFP7y8hG2HexCEOCcmWVcurhyhByEBsRTGtY4aMmRip2nWuyCUQdBwyb8r/0ZdA1l3i08s3Hofnf1RZhYlc2R02iY02pz6QsnSSQVctxm7C1vkVr/ECKgAHOmXsj+ikr2NQ8V+nX0RjKMw3D0hROs2zJUT5HltlIRP5I2DADJ5j0sWDKN9opi2vxhvnBZLb6tvyTWZySG4837SPlPUHnNtymeNVg4dmDk99eSUWxjppP0n8BWOwdp4gp+9MQhDjT0kuuzccXymnSMHuDYyQGOnhhg0z6jSO0rF2RT6M+kx6qRAU4eb+AbzwwAMH9KIdecU4NJFtF0GAin+PNzh1gwtQiHzUQgnKDdH+EPaw+kVxPnzSrhQmkTHF0PQM7iz40Y+4xxeQiVZfjdtbidFrpDOn1hjeb2IG6HmWhc5f5hyXRJFDNyW5qm8+Trxzh/bgVPvzkUBnunepX/KUaNw1mFjqAk0VNxECUEkxVd/OdusaCr6PEwSmQABBHNnp+5gw5dgRSlednIDh0hpWUURL1bOC0yFy+sZOWc8kH9ev09U1qTJw6O2BY7+jbOSSvQztKjJggCu49187u/HQDgQEMvG/e0c+XymrRxiCUUnt/cxC0XjB+kOwq8saedx14dzLNsP0lJnpOv3jBzKEQyCA0j7OaUFKKbHiZ25G0AIvvfwFo9Hc/ia0n1dSCYbTT0e1lUV8zJ7jDJlMqYEi/b6ru4cHbZGY2hIAjsONzNtoNG/FnX4dXtJ5hQkUVd9ZAmTl8kyYPrDrO/oZfxFT6uW/ZlnC/eaTxXAKJE3FXKqTSxHO2m59X7sJZNxOQrIGyzAUNUzc7eKOfNLifHY6UnYJxj6fQS+kMJvvSrjSiqzlcvLqJg06MZ49X3Ps/KuV9gX/PQtoKsTCdEFCGRiNPYFEaSM2PeZfkObP43ySwbBKX1AA3tThrbAsTH6iiDhuEU1MgAWqALPcswxFLRROCvDCfoWusuQKieg2/cUhK6hZ88uY/Dzf1UFrnJ9drYuCfznBWFbv4yLNGd0CUQRsb/YurQc7p5Xwczx+fz19eOkVBUPnDeOHqD8XTi/tzZZfz1jWMZYaaXt7cyZ/V0cgaNg7f+aT536a3c+3ILwUiSqTU5rFlYxe2/20ZK0ZBEgZsuHM8r207S2h3G67Kw91imkmvqDJN+NK4woSKLymunYzNLbD3QQcFZlnEZNQ5nEUIqhjIw1MVOkGQkb+E/ZSD0ZAw1PJhI0zVMIyLL4HGYjcrsvx+Q+MfX0vTBBiNnx6s35VeO2GYumYD6P3jMBMGYTE+fZBOKxhOvH8/cllRJKRqiQJoffqIrjKYZLRWD8RRPvZl5TGt3mPaeCNWFg3kDAVp7ojzyyhH8AzG+cXEBDBqGU4g37MJWXEtw1zpEmxtp+md4aN3hNKd9w+42PnrJZBRNP2NCWhAE3j7QOWL7nmN+ZtTmoKoaCUXjR3/ZSVe/4S0fbOzj7u4Id17+ZSyb/wiOLMI159Gt+qgePF6LBMg+9xaix3YSbdiFQ1P47jVL+PJDzelrSKLAynkVKJrx1BTlOPjxw7uwmiXcDhN6IjYUvx8Gr9nYJksC582toCTPiT+UQFE1ct0WWlr7+PXfjjAQTjB7fC5rFlbw9HqjurmlM0xy3lSU4tl0CnkIAhSo7Siiic79hvFKCaYzTtIpwZS+Z616LvZzP4f54AsIqQiJmhUEsifQ0hCg1R+mqsjNzDEebp0SxdK+E6lkAo825XNg2PmSp+XTnt8f47bJF8C+Ie0osWYBbzYMvW82i0y228rV544lqagUZtspL3DT0mk4IT63le7+kauaQEriVIWT5m9mUu8r3LDyInoCcQpzHNz9lx2kBsejajr3P1/PNefW8vBLR4jGUiM0kiRRQJYEFHXoXcjxWtnf0JOuJL9gfgXO96hcezpGjcNZgqBrqKcxKHRVATUJg8aho6OdK6+8iJ/+9FfMmjU3vd8VV6zhl7/8HUWFhaixTK0eKdZPYVYuvaEUiqrhcZpx2s4uK+FsQSqeiLmohmS7IU4nuXOxTV5O/J9c7QZiKepb+ukNxJlUlU1Jjn1IJkEYqW8PjNAcOmdmKeIgBVHXzrzkVrWhbf5Agm/duzVNy+zoDlJ42v5CQS1NzinsKyoh32vG3x0lOWiUBMGgdL61r515E/PRzrjE15lclc2xkwMZW2vLfOnEcG8wkTYMpzAQTnAk5KTBeQ1JVaAylsOMsiFWmcnlwf/ir9HiRpV0eP96PMFe7rjuJp7Z1kFNiZe+UIK1GxrSx1xzbi1Xr6hFUTVC0STuAheSOwc1OOS1ijYnvqJibllTiMUkMabYzfObmtPJ5DElHs6dXc6FCyvTXjBofOKyyWza30F5gZt49VS+9+BeBsLGefN8bm69YCzR+F7AmKQ/OeUC9L1Dk7QwdjEBwT2YUtFp6oxy33O9zKxZid0isvXVAaaMaSOZUtl1xGgUduXiMqSmdST8zXD0bc5Zfjub9kvEByU3Tpc5OdoaYufYOs69YgpafweSJ4+tXVY2bx2i8952xVQef+0YBwdZadkeK5+8so67/mQ8Jy0dQcaV+zjckhmuy7NkrpXkssn84bGDJFMqV62oJXKatLZJFinOdXLNubVGHsplpTTPma5637injU9fPY0//G0/oWiKXJ+Nq86p4U/PHiTXZyMcTfHC5mbqanMZU3D2WrWOGofT8PbBTp5a30BvMEG228LlS6uZN7HgXYRcdHTtDBPCaQfKsswPf/hdHnjg0QztJuMMIEimNMUNADWJRY9TmO1Ch/dVHvp/gpii0ROIE0iouMweXBd8DiHYga6pCJ5C4tI/97AG4wp33bed3sFE21/fOM7nPzCNyRU+dB0sksA159byyyf2po9xWGWqSzyGQJmisXpBJdNrc9LMFLddZsXsMl7eOhRjdjvMFOUMTbCt/jCF2TYuqnNhk1QSZidi4Vi0DiNeLpitnKi9mnv+YoQmstxWlk4v5ppzDUkNTQOrReJQY096oj8dmqazqK6ILQc70xW6NaVeplRnpR8Tq1nKWAGdQiiS4pXdxkS4fl83FQVzaE2oqKrGZEt/2jCcQqLlAKliP8mUin8gRldvprRCeYGbPz17EP9gB7L1uyR+dtOnkN5+kGTHcUy5ZbjrVoAYY0ZtMZIocLw1wGs7TlJR6MZikhBF8PdHeXKQ/ilLAjddOJF8j4jDaqK7P8obe7sz9Ki6++PsbwnidVoYCCc42hrixLz5ZC+pxhLvJS572NdvZ8ngilmSRNp7wqiaztYjQ9TUE50hzptTnjYOT711klkrl2PxG6wu19v/zbdvuJOdLQkEASqL3Vy9opa1GxqIJ1Wqiz2YHC76nTk4s2pRgVJrkpI8P63dYTxOMwPhRNowAPQG4ry67QR3fmgOh1sGKMi24bCaeeCFQ7R0hrBbZW5cOZYS50kinjwQBNyzLmRDl4tkymCBJZIqLntmdfONq8bz+7/tT+s+TarO5rYrp7K/oQdV1RlXnsUf1u5n+cxSLGaZGePyeOr1Y1yx3KjR8LktSKJA70B81Di8X3j7YCd/fnEoTNAbTHDfC4cJRpIsqSvG8nc05HVBQrJ7UCPDvQgB5EwqZ05OLrNmzeGXv/wZX/7y1zM+e+CB+3j5pRcQdI1ZdVP42I3XI5ksCGYbCMJ7DCKdffRFkvzwwZ3pCWb1ggpWz6/A7K3+B0e+M050hdKG4RQeXHeY73x4LuZBzf/JlVl85caZvLW3nfwsO3MmFpDvsfCj2xai6nqac56GDhctqGRMsYeu/hgOm4nJVdk4LUO/Z75L5IvT+xF33YuuphBzK7Esvgkt0EkypSN6C3jk2aHGMJquM6k6h589ujvN6JElkS9eP+PvapJ4bCbuuHkWnX1RRFEg32fDMoxBleU0c8U5tTz+6lAdyrIZJew+2p1xngONfazd0EBK0fj+pdnYRQl7zQxM3nzibcdIdjQQUwQON/fT3Rfl/DnljKvwYbMaDBxJEugNDK1QEimVO55o4wcrz8VRM4Okv5Xe1x4gseJL/Py1HfjcFsaX+bjrsjy87VsQU1FME5fx641DYVRF1Xn81SP8180zCUVTTK3JZudhP6ejZyDG6oWVHDnRT22pj4RgZVefi90NOhOLTCwsCGGWjTyawd7xjjjHjHF5HB22AlM1HUWQOUVB0GJhnJGTPPHaADpw9bljeX3nSS5YUIlJEmntDvPIy0eYUJHF4e4wPpcFh9XERYurMMsSXpeZ7Ye6R1y3oW2AxjYvDw8miGeMy2PpjFLMJpFoXMFqM7FhoJjq+beh6wI7QyZUM4CRCA8OBPjMmnJ+9kwL4ViKupoc9h73pw0DGHm0dn+ER14+iqbp3HbFVNr8Edr8RghpcnUW5YWejKK9/Cw7n7qqbsR43wtGjcMwPLW+YURsMqVovLjlBLWlXgqzHX/XQAg2F5IgGHRCSUZyZqGLI3n+n/zkZ7nxxmvYvn1LOry0Zctm3nprA3+89y+YRJ2v3/EVntuwhcuvuOZd5yzeS5OSfxYa8MgrR9OGAeC5Tc3U1eZR9R4K6c4kOxyNK8Z3GgwnyaJAbZGb8aXe9PdVVR3rYHL5TIowmm5IHW/a105lkYeJlVkZc3iZqY/+7Y+lsy+avwl9/4u8bDqXZ99u5QPnWYkMo4O6bGaOnujPoHoqqsYrW1sYe9kU9L+Tx7HKIhV573yPzplWzIRyH/5AnDyfjR31XbxxhoKuU4lQq8dHzqqPENz5ErGGPVgrJpF70ado7jdWphWFbqpLvfz2qX30DPZILs1zcsXyWh5/bcgIhWMpUo4C5P5mzLmlWKrq6E/G+UrtEVSrh+xaD/1rf4caD6ECqaZdXL/44xw6Kabfm1A0RSSpoWoaFovM7An5aTnqU6go8nCoqYd8n421GxrQdJ27V0ksje6BoB8q15C0Z6cn+opCNxcvruLFzc2kVI05EwuYUpPLd+8b4vnXjcnC1b2FU0+PaHORdBai6QPpfaKxVEaR21Urarj7LzvTgnXXnj+WQDjBC5ubmVDh45zZI5to1dXmsnF3a/pvt8OCWRbZtLedyiI3DquJPz2XWWl92+VTWDm3DIfNzJQ8hay3fsS3F68hILrxZNu565mRRsjf3ce3L8snntIxe+SMSvRgJDWiE1xXX5T+UJyid6hm/59g1DgMQ2/wdF6FgUAkCTpEE8o/XD1g8yBZXfB3EsYOh5Mvf/mOdHgJYOfObaxYcT5Wq/HjXrjmUtate57Lrrr+TFdC0BQjgahrmEgi9DQQP7YN2ZOLtWomceu7r3s4BUXT6Q0lkESBLJfljElVixaFRIiQ5M1Ycp+Cvz/2rozDO/XyLct3jig0umhRJTaTOMIZf7fUPR148o1jvH2gk5I8J4eaetl3zM93PzY/TWcVQiM93ETDLjyTlpBSNJ7f1MTS6SX8bb0Rt0+klDP2HegNxNG0oV9eFHTM0S7UQBeizYXqLkprAA2H0atBQFU1TJJAWa6DslwHubkuBGDrwU4mj8klHE3SMxAlHE2l74dLiNH7yn3oSWPijx3fhRYJMuv8j/LjTy3E67Lw+OvH04YB4GR3mOkpJSPEsWZuEfrmv5C0O0n178Azew36K782wp3AQP3LeGevoX/DEKvJfvQVZtasYXO98Szk+WyIosjk6hxcNjNdsQjLZpSyYXcroihwwfwKphQILAjvxBTqYMWyefS6axGzbSTsOehWN28ciTPDFacsxzBukgCzJuRRV5uLquk4rCZaOkPMGp9PS2eQ6WPzWDIlD6UzhDcrm5jkIOAZi9skc9eFxjm6hShfv2U2G3a3caIrxNLppRw72ce8GicVXgcdYZG1Gxq4eHE1ug4tg1Xhq+ZX8NLbzWg6TKjMYkyJl3VvG3Td0nwXJlnkD2uN1LcgCLR0ZKoXFGTbQRDYd6yX7oEogWnFrJp6OfKW+8kCpJxyZo+5gnW7MlfLVSVeivreQouF0coK+MzVdfQE4sSTKi6HOYPefgrxxNltwzRqHIYh2205o4E4pRXzbsM6+rvoQjJ79tx0eAlGNhjXdVDVM//YQjKKEvADOlq4H6GlncCWtSgBwwMRd75A1tXfQrX6EICU9o/HE0oo/PGZg2lt/WUzSrh8aTX2QWMoCGAJNNP/4q9RAn6sMy9hfGU1u49kTqoluTasyV50XUO1ZqHomcbUrEbQu44QP74dU34VlsrpxM3Z6c9z3Ra++aE5PLX+ON19Mc6fU8aMsXn/MOdjFlPIwXZ0TUF3FxFnqLI1GEuBIHD58hoaTg4wsSobp91MR08Ed4mR9hQc3hHnFHMraPQbE2dvIE5/KMEHV0/g5W0nyPFYqKvJ5cXNzRnHrJhVhqprJJIadquEyX8I/9M/TrNxHFOWY55zVYaB6Isk2V7fTZs/zIIphVQVujHLAglFJ5FMkeOxcP7sEtZtbcXrNHPdeTVs29/Ol1blIqJiUqNpw3AKiY7j6EoSk2wY1eb2kU2J/AMx5k8p4kBDL8umFTK3RMWSuwSl9RDupTcS2vhwxv5aPGJUIYsyaMYqShBFTJLxG+d6jfqCLQc6eWFzE0U5DmaMz2NcuY9ZEwxKdqkthv7MN9GSMRKA3HaUMQuuItncityyB8FbyNwJlyMMc8KC0RRbD3axbksLiqrxoYsn8Ye/HaC2zMeEymyK85w0NrUzy5EifrIeKaeCorIJBOtfQ3dUIgC1oe1YJTeXLyhBIkVYNVNu6YdYkr4Y1OXB7EsL2NtvvOXhmEI8qdLWHeJjl01BEARSisZrwxo+zZlYwN/WNyAI4HNZCUaS1JZ5M/o5nDu7nN88tS/9fr+6oxV1ah6XF9aidhxF7Wlh5TwXJ/tSHGweQBIFLltSgd1pZ2tkAZpJpzxp59jJTp4dFEXcfsjNitllaSMFBrOqIPvdi+69G4wah2G4bEl1Rs4BwCwLXDE/nyKfCckkI2gp40UXZWOl8D+AgAa6zic/+RluvPED9PX1MmPGTF566UUuvvhSJEnmhReeYcaMmSOP1VJpw3DKXPW9ej+euRcxsOmvAEgOH0Kgjdib96OnkjhnXoiWNw5FMCOKI+mhomhIKwxvuvLGzlamVOcwdbAnrTkVoPdv96QTnzFNZkldEe3dYbr6YwgCfP6SagpOvoJ/x3OgadgnLMA+90oSsmfwOjrJvS8T2rrWuMjht5H3vob38q+RkE4VlwlUmXr4+JiTpFIKLq+AKDohFiQRT2GxmFBtOSjCEGPLqvTT1dZJ0wAoGpR7migvziFqMVZPZpNEltsCuk5lsQeTLNLUFmDysH67kjsHe81MoscMlVHBYicw/lI2Pj0UU1+/q5VV5V5mz/QjxEPs8nu4YdV4XtnWQiKpsmR6CcFIgkdfO8brO1r53MWVVO/6QwZNM7LvdWzjF6F4DNpvIJbi23/alg5PbdrXztdvns3+hl72HO1mcnUO08fl8tDLx4zQ2ECMu+7fyV0fqMSx7lvGfV1x88jnRDZT35HgO09sYEyxh/lTi0YUwc0al09pvpNFU4uocMYIbniESIMhW2Gy2dGVkTRqXdMGadQGLDPWUNDu5aoVXrTBz071XvAPxJgxNp8fPrgj3fbyx2ssyKcV9YW3P4Nn5oUQ6SXV34F7y2/wXnMXKayIokBnX4xn32rCZTdhks20doUpyXNy9EQ/R0/043HInCftQqmvx1Y2AU1RGAjFuLdlDPuaDKM4u3Y8N4/X4I17SAS7cU5bRYtpMj9bexJV0xEF+OA5DmZUyXTPqyAaT/GXFw/zqSunUt/STzSWYmy5j49fUI5JL0RTEphtdrr7Cygv8NDRG8HrtFBd7EEQIMdrRwCyPZYR79v6/X4uvflGrHv/ilg+BTl0nI8VtBCcOAETCvbjD6CX30Bnr4jZJOEKmdOGAQxHZXJ1DmZZYs9RP/lZduZOKkQU/oEH9U9i1DgMw7yJBQBptlKWQ+LSmT7mlskQ6kL25qXrGATJhOTNJ6YastqyLGKRRUTNkNIWBAlMZnTh9Fusowa60FNJ7FYnX/7SV/n8Fz/D/PmLCIVC3HrrjaiqwuzZc7nyymtGDlLT0C1OFJOdlCagxhS0yrkZu7imLsP/9E85Vb+QaDuC7+LPE5LzSEZCmNzZWJ1ezIMKrKpuSCOcjoNNvUyvyUZVdfRwL1o8jFReRyqnBrPDSbXSyFenddJvLcEqaRTLjfRvW5s+PnroLUy5ZYjjz0fTdEzxfnq2P59xDWWgE72/HXIM42CJdtLz+HfQB7WiwvkVJOfm8+qBALtbYtSV2zhnskZWXiHqoABB10CCbz7bm07qmWSRb13rpbhUQFWNnES2x8YDL9Sn+eUrZpeRUoZeJrXHiCNnnXMj6Dq6KLPZb814sW9cWUvA5WR9pwef20Kxz8njaw9SNzYPi0lkw+42sj1WPA4zFrOEGo+gRgZG3Fc9FcWiR0EQ6OhJZOQtFtUV8+grRzneahzX0hli73E/V587lkcGNXo0HXQEfIuvRtc1BNmMbewcYke2ps8jzb6KP75u/KbH2wKMq8hi6fQS1u9uRRCM8M74EgeueDu6EkWI2Uk1DOkZRY/vxDX1HAJvPz00cElGK5gAYwPIySihotmsO2TigrleYokUNlnnS/ceSOt2Laor5o1dJzP6Iav6yEnHPX0lSDKCyYxzwkJEswVC3ZDlQRQFWrtD3LBqPAOhBPGkQn62naqiSlKKTk8wzrIaM05/NimhlvDBtzAX1bLLb2dfU0f6GtuO9jO11MLkvjb0RJS+lJlfrzuejuNrOvzptTa+W5bF8ZP9yJLIFcvHYDWLlOXa0HQ7BeY4ekpjw+F+6rsUZpdHuWJ2NnvadWaMzSOlagQiCTp6ory6zaD7Tq3J5aJFVRmd7bLcFqJmL8dLL6Mmz4b40g/RAn6cbDTuUWkdB/0yr25vIZ5QOGdmKasXVqbl1BfVFfP7v+3H57KydEYJHT0RfvnEHm6/YQaF3syOk+8Fo8bhNMybWMD8ifnGBJ7h4ejG0l2UQFPR1RRquJ+A4iCWUBEEgVKfhBIcVgQnm5G8+WkDUZSfy2O//XU6BKDFgsyaMIZNb21HR+Dmmz/EzTd/KH38mfo56JJMULcTHDBeuHBMZZs2myvsRqxT9uaT7D7B6YVt0Z0vYLM64PhORE8++vKPIeRVoes6kqAzdUxOusL4FGrLfKiDhTeC1U1s2ed4cp/GgYNBPnRuCeP3/g4t0E0WYMoqJHmGIrhY/Sbk6qX4wxo5NguCbEK0ZaMVT0YKtKG0H0GyWDEHmhFEES0ZTRsGMCa5n6/roLHDoH62dofZfyLKHR9w0xGRyfFY2NMczmB7pBSNZ7b7+XRZPioSiqbz9JsNacMA8Oq2E8yakI+YrpnQsZZOINnVjBLqwzRxGbIsc/OFE0ipGg6rjM1i4vsP7Eqfw+M0s2peRUbDmw+umchAOMGYUi+Cx4Y49UK0vUMG0TF2LupAJ6GXfg+iTO3cK5hV42b7MePeF+U62binjVm1XiaX2KjvSLD1cB/5WXYmVWUTjqVYPs5GSaJhsIgD9GQU1+QlxEvnoIQDWLIL+eOmMB29Q7/nc5ua+PTVdeRn2dGBEo+AtO0hwrIZPAXYrJn9F7RokFjWGMTFH0I69iaaPQtx4nk8sEvhWOs4LGaJtj0hPnlFFY9taKWxLcDU2ly+csMM7rpvG4qqI4nQ2Zu5SmhO+pjg8KBGjL4J9jEzSHa3EGs0+jfEm/djzq/EVTUbMNhKE6uy+MnDu9NGRhDgS9fPRFBiuAUVm9VEorcds9ODe+ZKJG8h2zZkrpIA9rWlmO4rINnZSBg78WQmvVfTIZgQqCr2YLXIxBIqfaEkh1oCyJJITrWdX6xt5qTfOG7PMVjaJ+K0mXl5awsuu5m62tyMXNzeY35qy7w4bCYisRSCAJcsHsOruzp5ddsJFk/K5hqbBwJD4dmushX8/tmhxPnL205wwfwKsj1WegNxHDYTC6YUIYoCr20/SX6WnQ9dNGk05/B+QdBV9GTU8I4dXs5YNSyk/weAriTJcnpQrAKSJEHstCI4JWmopZoGb7OaGlEJqiWiiJoCaVaThpBKoMWCpAQR0e5GlywIugK6TlKXCEYzl/uv7+9j2ewZBBbfjtvlxN67i9Mhmq1GFSygBbpQ1t+LdvHXEEx2NA2WTi+mwp0kW+9HR6RXzGbMMJXHoOzjJ68fS1eE9gTiGZo/SngAx/jTy8ZALqjh7kf3caw1SK7Xxhev/gG9/j5IxSFnHgXzvai9h1BjQQQEBJsT9+zVBLcZRVF+xUFjR2ZVsSSAGOrCdfIY+PLojXhGXLc7qJBCJKXqaJqWFig7BbMsUmCOEmpoQBBFfHmFBN7+K4mKhaRcNYiaG7sWYnyiEVvXAbSpF/GdFzNrCQLhJD6XlXmTCgjHUly+fAxPv9mQIX9ww8r5LKjtI3H0bSR3DpbySfS9/Mf055FXfseViz/JzuPG5CSJAndcUkR+0wuo+w8xvaCWlZeuIWE15LPLClwsH6MTeHXdYHgRBJOVnFUf4ZGDJt4+qLNmoZWGrkwJBoDegXhaQuTuK/PorL2U1/b68Z+IMW9SPlPWfAOl4xghyYvLKvLCMYlXdqlMqVxDsEvh8PYTfPTSyby526BlXrdyLPc+c5CiXAfjK7PYf7yHdn+Yz35gGj99eDctnSHOm13K3AozFfYQINAYAXHV7Zi76xHjIcwl4+h/6ocZ40x2NUEijDnZgGix0dpFxupD1+G5txr4ZFUDyr6XMBf/F2JhFf0bHzfeX2cW06o/MYIlNbFQRjliOG9utR+3w5WxaisvcKFLZmwWExaThKbrSKLAvuN++oIJJpeNTRuGU1i/u40vXT+T/lCCiVVZvLW3fcR9b2wN8MHVE+nuj2I2Sby8tYWV8yoA2Fzfz5pLLsTc+QtAR3J4Odo7MrvZ0RvhxgvG09YdoarIzY76Ll7dbqxO2vxh6pv7+Pots0cc914wahwA0DMa6OjmJJLViZKR5BMQZAuCEDXMhigjO7wowU7MugaChOTyoahKpgzBcGNwpkS1IGaU9wqpBMrA0GSoxSPI3nwj2axraK6CzMOB61aO564H9qaLjX52/URE+YVhHriAY9xcwl3t6N5K5La9qH2tSMkgmsnQY8mjD3nvr9MeXU5OKa6xt9MdsRBPqciSRF8wjigKuB1m3jgYYt6M82CXkefQkzFMZZMwHd1Gym88tJLTi7lmNk0bDZ2bwlwHYqSXskN/Qe1uRHJ4cC27mcDul1HSx/jIPveDhEyvoqfiSGQaU4tZ4hPzJMJPfxcRSCEwdfFXeI5MrJhZwr3PH+FQUx/XnDs2Q44a4POr8pHWfT/d23cguxh1wYe449GTROMpptXE+PACG86gBd02CYEIdRV2Onoz20smkgofu3gSOjrH20MjdHEee/UYFTd8gKBnASa7i+pDj6JPvYheWzmiAFmBw/h69nLVsuXsbwowt8KM8NKfUAfJBWrbIbID7STP+xoHGnopL3ChdPekDQOAnooTPvQWlfkX8PZB2LCnlWvPH8tvn9qf3mfGuDzys+1cc95YBEDN9vG9+4ZyASe7QuRdOZV2k4NoQsEmylSXW3j7cB/bjgw5PbGEwjc/OItESkEXJD5xcQ25QhABjQvH53F4wILPaeXnn1uCyy4jdhxkYPu96f4LM72FuCZ9gv5oDCnUi6nozHFyraeZ/jceQnJ4iFfeNuLzSExBi/QbCXLZTHDnunQ+TA33Md3WyvYSN8dajdXTxKosJroG0OLG72c68DxfuOKb/OSvhwmEk3icFq45t5YfPrgjTX7Iclv55BVTmTHO6Fdtsp5Zu+hEV4hN+9o52NTL4rriEX0kSgtc3PfcQcIxg9wwoTIrHdJVVI1fboxz+5qvkeo4hmJ2kGvKBoYiEBWFbsaVZ/Hzx/agaTrXrKjljZ2tGdeIJRS6+6KjVNazDUHLbKCjJWOIJjOyK9vwjgUB0WxD19R0FbTkcBsNV05N/rqKEupDsruHxZkFkIZJXUgmBLMtI1wlu7KM0IeiIosCRAfIhI6eiKb1Z2Q1gSzL6XCTySSxeXt7RhXqN//WxT1XfRHxxA50JYU5r5xOqZC/NFlo7ooyf+w4lk8IIducJDHE02L7X0sbBoCkq4hndnTz1/UtaDoU5zr4wjVTyQocwRJuJeEsoVMeR+3ym4ntfQVr5RSCR3ZiLR2Pc/x8dF1DTyWJbn+GuuoV7Djax4Uz87Ht+B1qtxF/VSMBBp7/Jb5FV9HvN+iRarifRGcjvuXXo/S04jKFWTSlgI37DIO5fFIWtv2PDFOc0slreI7PXXEtf3mtmURS5ZJFlTS2h9gw6OH+9qn9fPLKqTzy8hG6+qJUl7ipCO8hkW76DkpvG2r7EUTBYHzEYnFoa6B/51AO5ZJpF9I2TKVUlgQqijxpSm0kltnTFwxNn3hS5+cvdVNVFOcTSy/h56/0c9Jv3OtxJTXcttzLeW1vs7wwhCOcpCeQyXtXwwMMdBjGM55UUYaNO71PaIB5M7KYXGxlQLGwpynIF6+bzomuMCZZJNdr4/FXj9I6KMlgumB8hjd+8eIqjp0c4InXjqW3rVlYxaVLxqSpmgC5Hhvetk1ooow0Zh7x/iivHI5xpCPJ3CorM8fIiHYZu0nEYpaINO1GcOcTn3QJgq5jb96AcnwLwqGNKNEgSTWGtaqO+KD0NoA5vwLJ5kw/IxOzEiOqxi+b5SOVKiM2dzxZaopUX6bHbtryZ750xbfo1CcgigKxhIIoR5CXfxw9OoC5oIpWf5zF00qwmWVyfVaeeP14BiuuINtwBt7Y2UosoaCoFVx5Tk3GPVo4tYhDjYZDMBBKYDZJjC3zpZP/k6qzqS72EBjjIdsp0tinM3tiIb3BoTmgJ5jizZNWnt/kRBIFPnqpleIcB22DVfSL6or4y7rD6bHFkirFeQ4W1ZUY+U5JpLkjiOksd3H8/9o4nGINGZ77kACdnowh2FwowR4E2QzoKOF+ZF8hss86WDmlj+zoomsIsslQZBVlJFcWupRZBCeaLGC2DTKeJBTJSniQZy5LAjbJBGSGQDI4tNEB8l159Mcl4oN1F6f3vR0IJ9l+UmXy0e0Iokyfo5L/WtuSngye3+Gnd0IeH57oRNBB0lVi7ccyztFduIAnnhuiyrX5I7yx8yQ3WjajntyPFSgbtwhp8Y24xszH7XPR/uqjhHa+nHEeU+kkTpUjZJtiacMw/J7pauakqkYGkJxedFVBDnZy86LJzJpQwNET/ZwzyYP2/Gn9n9v2M23MXiqmhNAlEz3WbB7YPpSMVFSN/35yL5+6uo6TXWEKvWaof5HTYQ6eJMtdRziW4sLJdlLbns34PL77eW5Z/V/8PAEep4VZE/IJRRJIuQ4EwWgG47DKRIbp6k+syiaWNP6OxBU2nTRlhCYOt4bZ35PPpENvoSeiWHNLzyhEl+V18tVVAopgQs2aALuHejxIDi/ueRfT//I92PvbcZZORqq4kCZ/mMdfPUquz8a02ry0YQAy8i8ABdkOfvrI7oxtz21q5IvXzUj/vWZxFYFIgt9tcBBPqvy4IsE9z7XjH6yfaGgL0NSb4oPnewAXSkol7CxlrX8ib7zQiyAIrJp+MausA8iubJLRINHjO/HMuwRrcS3xE4cw55Yhmi1Gv4pBePc/xjeu+yRPbu4illC4eGEZJiXGna87CEaSXLMowqLcMpQMCW4du6xR4ja8/cbuCJ/74yGKc53keAu5PD+bPzy7J733ObNKCZ1WtzJrQkGGYVy7oZGrVtRyxTk1HG3pZ0ypF5MkIolDk/KTrx/jcx+YxtLpJSBAcY6DrFgL1fpzaK1dnDN2ERFvDkc1w2ksyXNy84UT+NOzB4klFNwOM8dP9DN9fD5L7WZUXcdlN2cYrZ2HO7l8WS2/fGJPmjAxY1weuWcxGQ2ctW6G/3YQ1ARqoAultxUtGkD2ZhaNqdEgJl8hkt2FZPcg+4rQRRO6ZEaXLUZi+vTKB0EA2YqcVYzkK0CXrYCAoGsIugpqCjUygBruQ40EUFWVuAKBcIL+YBz/QIyo6EZ0ZiE5fUjOLESrw0hs2xxITh+C2YoUD5DntVKS58RsEplSncPpKCzKw5RTguTy0euqzfASAbYc6iYQMSZlBRnruAXDvodIT3xkZffexgFS+ePTfycPb0SKdJPCjCibsVRPS4sMnoI4ZSV7Gw0vqtGfRLS7OR3CaQbUnF1M36t/JrTnVfrffAhLuJ3JlVlcsXQM3uwcHNNXnnYCEQQJ9j+PsOdvmdpUg9Ax9Hgef/Uo9714lGjxSJpwNGdCWvPIRPKM7dz6ewcoyHagqBrPrD9Oja2P5Kb7ib/235RprXzqyqlMrMrG7TCzsK6IixdX8eq2E5xbl8Pc8TkcaB4Ycc76EwFkt/EbRo7vxFV3TsbnzmnnY29eT8HWX1Cy5ccIwW68Kz6IaHWAJOM75yZ6n/s1ar/hPWsn91N85DFcsvGbF+U4aenIJBtomo57WK/nRFLNKDwEwwfSdJ1rzq3l2vPHUp7n4o/PGOERRdXoGkimDcMpbD7Ux0DMOI+iaOxLlvH6vl7jXJrO8zv8HKMiIywW3LkOVBVdSRGp38TA5qcRhk24en8rBXo3PpeZPJ8Nt93MT/7WkM4XPLm5g/C065CcXuMAUcKz8CqEYXlDUde49aKJ9AXj7D3Wgy6ZMwQcdx/xM3/KUM7M57LQ0ZOZYwJ4a08boXCSpKLy0tvNPPbqUfKHyZg7bCbcDguv7zzJ+p2t5Am9qOt+TKr9KGokQHLXc9iOvYbLJnPVObXUlHr5xWO7+fTF1XxllY/PLXMwo9rJsxsbeeilwzz6sqF4Kw4b68SqHB56qT6DSbfzcHdajv1s4f/LlYOgpVD6OxEtdkS7FS0ZR1NVZF8BWiyEYLIimO3opx5QQUAXJWOCVwYnDdmE7MkbLDwzag5kdy76cKOha4aMd6gPI9nkQbQ6jclLktHMdvoHEkM/sm4kei0+M2LICKOIFmMCUMP9oKmIFjuSMwsNwVADBa5dUkS7P0Rbj6HXc/m8AspyrMgrP4cAmDszk2hgxO4lSTj19ehwTcBZuxDt6CYQRLJ8IwtqxhU7kXv2ZWQBMrz+QBfuS75M7Ph2SMWx1MxBTSb4/sfnEYykyPPZ8BV8mN5nfppRFIbJgmCyIEgynrkXE2s5kDExB9Y/gufq8SQFwzMSaxfhQCJRvx7B5sYz/XwGNj6G5MpCkEzkho4woayaQyeGJsQrltcQiSW5akUt4WiSeJ5M3vgFRA6/DYKIs24FB5N5FOUM4HaaaY+ZKTlNpVRyeGkOW9hywFiVfPOSPGJ/+246xxQ7soUJl3wJ57m1JFIqDqtMsS3Bl6Z0kKjfiGyr4NwV53P7I+GM5vGTi2SU/b0IZhvJjgZcdeeRvXocatCP6MxCtNrpeerH6f1jbz2E6ZIvYz//NkR0Eql4BsMLQOluImuMYejausOcM6s0o87hbxsa+MK10znU1EdXX4RsjxWvy8JAaMiw2iwyeVaFmBjCYzdxsD3zOTqTNIwoCoOrbZBliU31fSP22XZsgHGeXJKDOQL3jJWED25MF3HaaueQDA6OVRBh4rl0ivksnCAgyyIne2IZ8tWKqnHnU538/LrbcPUeAQQjVqoMfRfZJPHsxkZuunA8NotMLKlx+bJqHn/NYAX1BeMUZNm58fwaXtzaSo7bQmn+SBG7HJ+NNn+Yw83G+MyySHmhm+oSD4XZDs6ZVcrdw+o6tL5EumAwPd76N1E9czjcEqO9J0wwmiLc38d4UztoKon2Br5+wzIefq2JcCyF1y7zqUvG8tvnjpFIquR6bRnV7qeQSI52gnvvUBUj1h8NoiUiiBY7gskCooxwqt2mpqAG/Ua8H5A9uajR4DCvVED2FSBnFxuTgygNaiANSy6rifQD/7Pf/5G+gQDf+/6P0EURLZVk+/Zt3H3P3Xzvnj9gsw15H4qmc8qn0xIRBJN5MPwloiWiCJIMssVIoKtJLK//hNsnTiHkqcKkJ7EffxJz70UkC6YC4PNYR0gLX7nc6PymaaDqOn94rQOHeRrLZs1D0QU6ujWWzyzh9R1G4svrtPCBhXlozw8xoUzZJUP3C6D3BMGXf4dt3HwwWwk//1MsBVUUTU7gO7oVS9V0hIrp5F7/PbRAF6Ldg9LdgGiykHPhx0E38j2xYfFnMLp+Cbo2+M4L7GyOUmguJnvcEhSTg4TFi3vGSlJ97eipJO78XD49sZjNLcX4+2OUF7oYU+zl3mcPUN/cj89lYWr1BLIR8C64DHSdWNsxquasobbfYIb48vLJmvxZguv/QqLtKJbCMbiXXo/phJn8rBAVhS5Kkg1ETuuBENnxLBVrvkxSFZAEjcSmR4kceBOAVF8HYvNePn/hF7jrr0bIbnFdEVUFNo4KtxGIw8xyC+H9fyPRMpRMNhdU4py8mPD+9UMX6mkisuVv6EoS39LrRjzigtnKhNoi7vpIFQ6bia7+KHW1uSiKoVOV7bVzsLGPUqdCXZGL9dsb+eDqiTz6yhHaeyLk+mzctroa+7pvMTYWQjBb6Zn46YxrHG4NUVXkorF9KMy3am4p1kFarK5DZaEnPZGeQm2pB5MyFkE2YRm7AFtRFaLNhTLQhezOIVU8nT0nYpRevgpN12jsjrF3Vy9bDxoO0/UrR7belESBcHsT8e1PnroDFFz/bfRAE4IgYBe8XHv+ON7YeZKuvigL64qZVJXNFws89AZieF0WyuxxTK/8mBlT5iLpCiedZeRn2dPaS2ZZ5JyZpfzs0aHw26VLx1CUa+e2K6ZiM0v84ZmDGav0QELg9DS2ZHNSXpzFTCGFy15KNJ6iqMiM2NuDYLLg8BVy/8PHKS9wY7XIPPJaA1+8qIzvfHgOvcEkhTkODjb2svvo0OpLEKAg6+wlo+H/U+MgiCKpQG9adU2LRxA0DckypAmkJ8JpwwCgq+pp4QodNdyH5Mk3gnOCyOlhJi0+dPxHbriOD37udta//AILZk0nFo/z05/ezcc+eXuGYQCQMiodBaNpkMMDmoYgyaiJCCKC0RlMVVBtHvp9Ezg2YMJtE6iuXISeimGNdaJrKi6sfGRqhBPj8/FHoNyjUeCN0OKP0t0fw+sys3xGiSGf0WTkL645t5ZYb5Rrzx+LpunEEirdCSsT684h3rQPS8lYXNPPJzKsPamlegahHc8Tq38rvc0xeRnNYhmBkgLy7WZyTx5AqJiNajNYV3Y9RdcTP0x7V77lN4AkgzpM5G7WGsKCnWA4ic0qM1ZuR33lF+nMTNSdi3PyYmL+NgTZRKT+bcznf5pUykuO14bNIvO7p/dhschceU4NPQMxfvr4fr5yzSW4O3eiCxKhyTfxwz/tTL/YBxv7uGX1BOad+xkssTCCxU5QtpHlDrFsRgkumwlBGeqPkP61dA1NN1aSpkQ/Awc3ZD4TiSjFpgGuOW8sAHleK//9WhNjSny4HWb6owl8wwwDQLKzCXtNZhhM8xQZYUaTGcnpxV47m+jRISE67/zLMJksVJq6ESQn204OcOs0FdOxN0AyYZ58HqT6ib55P6BzeVYZ9rwbkVaOJZnSsVtlTHoIahYhHH4dye6hpiyLKxYIjPPGEXSVE9EYH7p4MsdP9tHcEWJCZTYuh5lESsUmiyiKyvwpheyo70oLNBblOBhfaCX1dj2Sw4MQ7sG/di1qeADR6kCLR1CX59EXz+Xxvx7B7TBzxfIaLpvvYE1VBEFTcZWZkVeNIU8IYtOjDOgOcOfj7H6J+OQLkcKduIoq6X3lXlJdzcb9WvEl/vspf1r94MnXjhFPVDFzXC7JlJkSl45p3d0Ge+3AOjSLnS55OvOnFGKzyGiajiSJdPRE+Mglk+kPJrCYJbbXd1JW4OJwcx+l+S6ctszV1KGAgzk5Zag9Q/kQ28Lr+N5fj9PeE8Fmkbn2/LGEdRu2ivnoOmw51DGowjrEjHthb5DLludjNkmIgs7K+RWkFI0Djb14nGauPKcWk/nfqNlPOBzmmmuu4be//S0lJSVs3ryZ73//+yQSCVatWsXnPmf0V62vr+frX/86kUiEmTNn8q1vfQtZfv+GpmvqCEllPRlD0zTCRzbD7r9BpBfB5kGeeA6m0ilnjD/rSgo9FkKN9BsV055cdMlshJ8E0ZjkBmG32bj985/j+z+6m+mTf8afHnmMBTNnUJDl5Nvf+DSJRByXy8MXvvAVJJuVx9Y+y0tvrkeUZMaNqeaLH/tw+lyyOwdEyUiEJbo5Oe567n5sqOdsrs/GN6+txdW8xWgAX1BJbNfjVMbCVA+ukg6M+wi/fWlL+piZ4/M5b245Lw/2ADbJEm8f6CQWT5LnsbDpoJ8tdhN3X7OYnHFzUaJBetb9Fu9FXyYx2LNB8ZSTc8VXiTbsRUPHUVTN7nAurSEdHRPH+lKMLyyjTgsT1qyYLGaCu1/JWHYHd7xI/mVfILBjHWqwB+eUZSRKZvCN32+huz/GlQuLWNr514zfQQ360Z253BcvJZrUuGDOKiq76jl2opIdR/q4fuU45k0pYn9DD0++fozCbAfXrxxHS2+Kh9+woms6ly2Pj8jLPPdWIy7HODp7E4RjIcrz3azd0JDOS5RcUoV3sCjyFBwTFmSI7gmyaUQOxCyLPDpY7fzJK6eybEYZz2xooDcYp29aERfOuRF56wMZxwjyUJGaMG4ZLWoue/JuIhRV+KBokCp8S65BV1IIJguRI1txAP1vPgySzMol1xI7sIlEx6BwYMMusi75Asen3kZck8mVI5Q27SHXO47+oJ9An4U9IRtVJcuwLFkGCFRZdJbH1pGqN3pp5HvySJbfxqOvtpDltrJxbwc3XTgh3a5SFEXe2NlqTLCDUuHBSJJt9d2cE4+S7G7BUlSD5MzCufyDqIk4JoeLLX43D71kKJt29UX54QPb+a+b6vBt+rVx/9omsriyjtD6hwGdbMmEdeWneU1cwCs72plQNo5btCYUbxnBqlUIQFz0klQyVQBe2tLMxMosjp4cQBbcVPuKIWyscvRElLGuCN9+qSfjufjgmonc+8yBdFjL67RwuLk/LW/xicunsGlve7ry+rHNPcz/yKcx9TWhRQawFVbzqzcCtPcY14klFP78fD133jpnkBsj0BvOJGgU5TgYU+rja/+9mURKxe0wc9MFE/A4zVy1opZoPMXjrx7l1jUTyXFkFjO+F7xvM/DevXu54447aG5uBiAej/O1r32NBx98kMLCQj760Y+yfv16lixZwpe+9CXuuusu6urq+NrXvsbjjz/Otdde+34NjTNK6Aki4UOb0bf9BWEwjq7HAqR2G4wVacLSEYeIVgdawpgodDVlLItdWSiBHhBFZE9euqIaYNb0mcyqq+MHv/xvWlpb+dX3vsOn7/gm3/vhz3B689i9cyu/+vkPuOfOO3joqad56t7fY/bk8t0f3IW/t5fcbEOgTo0EjJUEhozCn19pzhiXvz/G8WY/FW8/bnw12Yz5wttp6EoQSIrk53rYsiOTj7+jvotPXVlHltuKADhtMvd+qByp+zBaJMD1V40nYcsh+uZ9DHQ2Ys6vJHvJdaixADgHjQMSjWoJa08kiCVVLiuqoiMaTvfZdTvMFJ4/lkBURXj7v2HSMrRwPwgi5vwKdFXBUTOD/refwTl+HoJkIt5+lLDqSHPEJVRDEv009Aei7DoeQ9N0DjUP8MVLpmKWjJh2ab6TtRsa0/zz9p4I9z93iG98cDaJwU5hpz8RDpuJy5bV8PBLh+kZiJPltlKU4+Tc2WX8+QVj4vrVm0G+e/nXEA+/hpaKYyubRLK3HUutCBqokhnLzEuIv/3Y0DOTXYboLeAbayR0BHSnhV8/uS3tq7y+sw15ej4X51WhDDK75KKxHBGr0ed8CkUw8eqRFLPyzGTboNApo0oS0SNbiQ6Tz0CSsVfVGf9WFQZefwDfyo+mjQPoBMNxVFsR8WgSxZeD2WLG+sz3KEjGKDRZmHnBZ9gRdNPaE8dsEil16ognhtg7aqAb+dibLK5bgCxLHG7u5+GXDvPDTwyRG/z9UV7fkVkcunhKLqLVDkEQHR6sU84l8OxPjfdEEBk39zoq8h00dxkrb02Hxq44s+xutGgQe+Vk+tc/lD6frqZIvP57rDUfoy8YJxhzELQWcl9nEfveNp6VmeP6MiQoAOxWmWAkyeZ97fQMxMhZ8CFc/jvS9RLuptf4xk2foP5YB+G4wvTaPPyxIWajw2qsRJ/f3MS8yYX0DMQQYn18+6oy9p6IIYoCk2vy+fnzJ2j1x8l2ebl0uY8dx5oz7ocyKLvhsQmYzRJl+S5EASZV52CzyNSUeXlw3eF0bjIYSfLgunquWD6Gjp4ovYEYkViKke7re8P7Zhwef/xx7rzzTm6//XYA9u3bR3l5OaWlpQCsWbOGdevWMWbMGOLxOHV1dQBcdtll/OIXv3hfjYMgCCPqDXBkoe75GdJptErUFEr9GzB+MbI7ByXcD5qGaHMgiBLa8ESgphqtQdFBUw1j4SswkoW6jmiy8skP3cqVH/wQd331drp7emnv7OSrX/0iiqojigKJaAiT1cHkSVP46Fe+waL587j6ojVpwwAYNQSaZiSpBZFoQuH8ablMzteJaRJr94RIKBqnHmKtZgm/3xhk1/GBwTN0cOU5NXT2RhEEgYFwglhCQUBj9+FOrCaR2y/IpX/tr4xrAOx+mezzP0Rg0AtOdjXR8+LvyLvyy+kG8u19Mb79p63pie6kP8LDLx1JjzsYSfL0mw1Mu6oMye6GvpN4F11Nyn+C+MlDCJKMpWQ8uqbT/8Zf0JUk5sJqcvMrOXdqFmu3dvPGoSDzpi2H3UP1BwgifVIumjYUg31ud4APn1vI6rE6BZ5kBo0TjBcyFBoK+4mikCFffe7sMh5+6XD6775gnIfWHeaTV05NH+MfiHMskYUnfz6qLuDtqSd3zGTwH8UUCdHvreWJ5gLOX3gbjoFGUo5cDifyyeuF/E0/AeDQkh+NUJx9Y5+fS26+Gduep7GUjkUpmcF9jzTS3hNBEODjF45hkroXpf6v6EoKMe9W5KJxKO2H0+dwTT2HyLAwk/Gdhy6kTb6Q3+8Q2TuY35FEga9dUkLuoCOjaypNAZnf/m1/elJ6LdvGF2Zdi2nbg8Y9s9gJlc7nxLYwLR1BJo/JZe6kAqIJhZSqYTXJzJ1cmCHoCDB/cjGxvkVI+ZNQsmsIPfnNodWXrqFveYgr5nyB5w9ZicRSnOgKYTHLaKqKIJvRlZH1JLrNQ2lJHlev8GCzypyUJPY1DYXndhz2c+U5XuxWOU0GuGhRNQ+9ZDTz2lHfRWNbgM9ccifm3qOogonDQQeTOg8z++gDCLIZ9UgfJas/y7c/MpdQLIXPaaGxLcDCqcW8vb+DkjwHRQXZuF/8BosHKfDN7o9wuGUAgHA0RTSWMhLiw1YjomBQo7cf7cMkS1QVu7njltlpinq+zz5CvG8glMBpM/PmrqMUZNn50CWT8LnObvvg9804fPe73834u7u7m9zc3PTfeXl5dHV1jdiem5tLV9dIEbizCV1XESQZ0ZVlhJckM50hHXtspB4LgB4xmEKapiJZnSCKCKKMEuw5bc9B9o9sNkJXmoqejKUnWE024y4ow+lyUVRSRiSpUFRUzB9+dy+KLiACwf4egrqNj3/+OzQcq6fh0HZu/853ueOzn6Zu0kQAJKsz7T0LaorvXFmCvOUB1G2NIMl8adqlg0J2xgPV453Irk2ZrJHn3mriWx+oxnrsVVKuIhrUYqqy4GtLAF1F720ZMgyDCGxZi3fB5fS88FvAqEdQgr2cTJkIhiNsO9SdMdGd3jgJjDBB34lG7Ac2gCiRteJm+l4fCqGYC6oIbPnb0Dk6Gog6fcyadD1ZuVlIksRxJY9J862k9r+K4PQhzbicPz0/kHEdi0nEtvMR5Ja9RCx2vnHBx/mvZ/ozXkqnrHDdkkJkUWBaicj46+rYcqgH/0CMmlJvunfDKcQSSsbxqxdWsmF3B1sPGqSDisJyPl1sRnrxewCk5n2Qt+pVNhzSyXKXEo6mSKS6+OrVQ7IkZnmksm+u14aSTCDGggS3PYfY4+fSRecOMswkqsVWEi/8Jb1//7rf4brwM/RXLkAKdeEur0Vr2ZOuVD+FlGVIZqTTOZ69jUPFdqqmc99bvXx57GL0g68iVs/l4a2BjEmpozfGCaGI2jFz0WULqZwavru2I13XseVAB7WlXnYd8bNxTxuFOQ4uXFDJLasnsG5LC5IocMmSao62hWizTUCzwtJkbETYzVY5hYmeMFW+TWhFWQQXz4FsF0emfJJEChbkSRm1IKLVyYmJN3PPQ/vTz9+0sbksnlbMht1t6fO2dIa48YLxNLcbhuz5TY0Z8hl9wTgx3cxrJ1xkO2Xm1LhxvPqb9EpC8ORzMODiN49vIxJXyPFaufnCCdz//CHiSZWTXUaF/Dcv/hSWVwxJkJSWuSZ98vXj3HTheP649iCKavQfv2XNRO5/9iANg9pmZfkubrpwPEdP9iMMKgmf3lzQZTchSQKRWIqGtgAtaw/yjVv/TeUzTsn5noKu6wiC8I7b/1lkZ49sMNPdLSKfoWpQEGWjjP5UHsHiBOxoNh/SGQyEYPOgRoNIrqx0maamJJCc3owJVHL6EEQJQTYjihJImbUQupJEi4XQEUiZ3BQVZhMM9HNg23qmThjPc29s4KU33+Jjn/4Gd935Wb79/d9QO24ifn83ja3tTJtah2hzgqoMrlBAVxXsR14kdqq4TFVgxxP4zrmJUyOLqyPvQSyhoPsb0evfQAYm5pbhtM1h4K0nQJDIOueGEcdoyVim5JQgEtKs3PnnfRTnOtOa/adgPsO9z/FascUN428tGUf08JZhnwpnrFGIN+3juL2d+98w2CpXLqvGXDSXrsoqUrrEWFMhPYFhgocCrJ5kIbXR8By1RBTbtvu5aOYHeWyTsd+cWg8lLpXsY79G1zUirlv41gsR3A4zLruZzt7IiKZDp6RD5k8pxOcywkzDwxTNHSHeOGrlfF8han8H1sb1rJxxGc9v76J3kIPudVkotsU4laXI8hgyz6e8RFEUuGhRFVLoaDoEpB18jXmrx9P38h8x51Ug51Vy+l2Kb32KdY6r2H5cZHbMzsrKGchHtgySKgT0uosIW/MxTViOLpgImrKBzErsjp4Yyox8RECzeukLjmxmNICb3/hnE4gorMopZVJ1f5pFVFvmo7E9kNYXau+JUN/cx1dunGXIduhgMYu0dIbYedi49sQbxuKyOdFixgQsWh1YimsYeOk36Ws6j2/GP/9z/PdLBoX4lTw731r5CUKv/hE9FUebspo/vN6VMXnuPuLnutNYTRWFbsoLXWS5rciSyOHmkTRbWUvygdRfEaIOGJhBKquEaPliVF3E5M3mp4+eSOcTegbi3P/8IZbNKOXFt5sBo2tha8rHqUa5haYgZnmoU15fMI6/L8otqycQT6kU5zh4+0BH2jAAxBIpivRObnJtRkoEEbU1XHNuLY+9egxN0zHLokHNjqZYPrOU3kCcfcf99A7EmT428x18L/iXGYeCggL8/qFlv9/vJy8vb8T2np4e8vL++S5mvb3hEUsvTdNGqJrKsoguSsiuLLRE1FiWSyK5djOBqZcgbh/KOQAgmZAnGkVJupJCTyUMSW6L3ag5GFx9CIJoVDwPlz4QJWR3dsb1dU1B06E7kCQv38Q3v/RFfvnHe0mmUjgcLj7y6a/j9nhZtuJC/uurH8dstlBWXs6Fqy5AMFsRBBElNhQiESQpQ3ogvR2MNqVKkpJCLxZzfzq+DjCt2ou96+10nFLxn0AYNyj9rauYsotGsIbc084jsOOF9N+u2at5YIcRmtN1nfICFy6biTljPVhMIgcaerj2/LE8+vIRNN3gzX9iWTbi2w++QxNNI4F7OsScchr9QxPVk282cPfH5+J1lGGSRdwOmdtvmMmOw90kkgrLJ/vwbv4V2jASgRrq5dyxMjnOAtwmlTKngi3cSmTQK2xLOEkpIXoDcXoDcZIplSuW1/DYq0fSk86Nq8YjSyKzJhTgsMjsODxyhbv3RJzVMxdhj/USbz3KOfZ6Si+cxfqD/YzJlVhYFMcdakgb7mRSYVFdMXMnF6IoGlazhMUkkQxFMypU1YEu9GScZHcz1tLxI65ryiriwgqYlW8hS2on5Z7CyemfxakFSEk2ErY81j7fQixhsM/OnzviFCyYXIC5/XkUQDqxk3NnfpjH32hOfy4IIIgSB5sGAPjDM/VcvaKWfceNpG1dTS5Pvn4045zRuEJHb4Tf/HUfAF+8blraMAAc6hGYPPfDOLb9CTUSwDF+HuH9mQwvXUniS7RhlmWSisaJ7ih/OlDI+ed8lWBfHwVVYxhYt53TMaxujLFlPsoKnPzmyf0EI0luvWgi58wq45VhzXtmTcjHbVJIdp9AMFuRF36IF9vzefEFY0V80wVlacNwCj0DcVyOzHCOMLwneMdWvnXTDTzxVjvtPWGWzyxjSoWbQ8fa2d4YoXJZFQdOC7t9fImb5LM/MOj0ACcOMHfFZ5HOG5uxGm/vibD/eE9aldVhM+H3n6Ye8HcgisIZnepT+JcZh6lTp9LU1ERLSwslJSU899xzXH755RQXF2OxWNi5cyczZsxg7dq1LF68+H0diy7IRtGVqg7KXZiQJRH3pEUkLRLazqfRw8PZSpMBECQ5LdylJ6JogoiuGgbD0FTKlLFAU0c0TJFsLv76yGNouoBsEpk6Yw6/G1sDgOjw0pO0EIkprFp9JatWXwkYHeos8S5j1WGxj1ixmPPKSbRlvpSS04vvmrsAHVFL8PWLC/nLlhAnuyPMm5jLBcX9aJt2ZN4X9MHluk6is4m8iz9LcNfLqKFenJMWYymfjLl4rCEl4vTx1H6V7Ud7BmUkkpgFlZ9c5iK5/QlQkpinraY3q5Tpn1xIKJrC45Cx7HkCvXgCiYLJJCLd+AoKiJ84mB5Dqrcda+0c4keN5KpgthEYfwlvPT00oeg6RCJRygqHKsOrC5yU5jlBB+fAYXp6hqQ/wGjm4zQLzLY0IdpcyJ58el+4P/25Scx86dt7Ihxu6eW7H1vAQMhISMficb51rzEukyxy5Tk1nI7pY7yIwQNEW/ZiK5+MKz8HT89G6nxdqH1+bN6pKNrQC26N93D0RJLKIiPkE0+q7D/WQY22L726kFxZQ89dMo4gioYY46neImYbyoTzCQ9EsQkpOvVsWhuCLJlew0Aogd0m8/hrx2hsC1BR6EbVdDbsbuPDF0/isVePEowkmTk+nzXzivH3XIxWvBTR5maOz42iV/PS1hN4HGYuX1bDMxszQ21bD3YytSaXLQc6SKkaZpNEfJgTAuCyDM3Sp/Sncr02PE4L8aTKPW9HWDnlI+Tbkrh8PnKaDzISQoZD0dwZpnd8AT9d18DPP55iWrWX3Q0D6c9FUSDXZ09ThmPxFAICsycWEIomCUaTTK7KpiDbQTCSwGk3Y5U0PF4n+2d9kZgCQqvCCzuGnrszRElx2EwkU0PftyDbTrHPjHfRlQgIqPEwla4En7xsMoqqYzGJHGkN0NqXYvWMHI6f7GNRXXE6hOm0mfBFmkcUzpn2Pk0o6wOsfbudpTNKkEWRV4c1VTp2coA7P3wGi/8e8C8zDhaLhR/84Ad86lOfIpFIsGTJElauNGQQ7rnnHu644w7C4TATJ07kxhtvfN/Ho4tmsJsQ0NERiSQUuvsi4J6C84Lp5NoGBc5OtUM0WY0w1DBvVFMVdHsOKUXBZJIRUskRP6ogSogWQ0NfNFvRUgkkhw9J0wAdNREZWn2IMl67TDSupnsrS5KA3SIim3MBDUGUUaOBoWOSPdjnXkHq+Z8PKU7WzkOxuFHEU5RCG5UeP586Lx9FsmLVo5gbdhIeLi9gd5PKqeXIzC8hCVCa6qPMbMc99xKjwZDJTie5vHk4yc4jEjPGWhhfk8Uqq4tdR7rxOi2Ms/URXvuz9DmVN+6laNUnICaS1XMCsWomJ2vX8PSGZnbt7KUwu5QPlo1j7BV3ENv/KoLJinnMDDR7AVQuRknEySku5kePncxYFXqdFnKcmY9uOKHS1hNBVTWm5Xrxzr+MgS3PgKYgWp24VnyYn21IUJNbQVuzwphKF7Wzb6EjKiECxXku8nwB/AMxJFFAUXXmTy6iyGehwGNB0xS++eRhCrLtTB+bRzCaJBZPsWBKIZv2GeGO6mI3C3N6iW40itXCBzdiiwbxLLicVE8ros2JaHODpmLKKgJRwlfgZGIcHnjxMImUSk2pl5vOrURsrUEpmIhNSOHIyaPv5XvT33Vg89P4LvsKbZ19CJpGn5hFlq2EQ61+6pt15k7KY9H4LCySQP6gSufCuiLGlmdR39yHJAqMLfeR67NxwfwKXA4zSjyGY9OvsUkWUrljMXW9TVg+j/0NYZbNKCGZ0ugNxjKUbcGIfc+ZlE9hjoM8r42LFlXz+GtDjkpZno0CS5zqYg+qpuNzW7nxgvF09hosG5tZ5oMXTeIXj+0hllDwOiPcs+YylJd+PfQOmax0SQWkhlFR500qwOOSuWpFLYGUzPXz3IgC7Dw+QI7XyoeX5VGQa0fQdaONp9vGLx7fky5oA/jIJZMYV+ait1/G45DIsWm0R0R+9VIXWW4r08dl0kIPNvZw9YratOy5IZI3mXhCYdmMUrLcFsZV+HDYZQ7ZZiAIAmWVLnSrHXQdWTT6no8tcjDOnU0q2MPkAh/HIk6CkVLe3NWK3SrjdFgYoWkgShTnOrlqRS15Phv/PbgSO4VESqWjJ0KB++xRWQX99A7v/6Y4U1ips7OFgoLyjG3DG+gYvVJ0dN3QRDfLIg6riKYLuPQQoiSli9sE2ZT21ACQzMSs2fQEhsIduV4r1rjf0IVRVXRNRfIWEIwb17CZdMwoYD1Vlq9DdABVUdBlK4KmIFutJBWdpCYY0heijtksocWj6JpqqMMqSaOiW9fo7Oliw2GFcrdKoTlMSjCzsVln6YwSyopzDe40kOw5gbL/JaS+ZlJls7GPn4epaSuxhh2YcopxTl3Bl5/0094bQ9d17FYTP/loHaZIN1oyhuQr5CfPtVLkFqjKEumOSmBx8PigQmVBtp2vjT+OfujVjPttKaxGdPqIHduBWLOA33TPypA0liWRW1ZP4PWdJ1EUDbMs8ukVPjzBBiSHl4jJS0/Syv1vdnK0NcSYYicfXFpAbmE+0iD3PxhL8cO/7ErLaV+xsJhLp5hRuxvRE1GEvDF8e12U48MECm9ZPYEnXz+WZiPl+Wx87/oadH8TWjyMKbcMwVeKIJmR9ARxBZ7f1kk8pbJ5Xzsep4XrVo7j1W0t1JT60IHpeSksL3yL03uBeBddxcBGg1bsmrUaue4iBFECQSCliQgiBKMKiZSKy6KztynE9sNd1Df1MbbcxzWLS7A981Wj6BEQvYWoyz/NtpMamg6xuEIwHOfmVeMRBGMCEnQVc6QTdaAT0ebiQDyf7z+wMz0mURT46o0zKRW7UWIRzL587FYTifqNJJt2YZp8Hr/d52bHsB7hN6waz1NvHEsnoEUBPn75VO5//hDZbgvtPREuX1pBlUfnUGuEQrdIrTNMjtdG6PAWEGUSUy/nzj/vS993MCqex1f46OqLYTaJ1MqtWEMdJFoPI9rdaGOXsa3TyrotLcQSKRbVFeN1Wmhs62f97g4uWzaGGk+SKqmLsCJgIYWYVcLuPhf7jveg6TqzJxTw6yf3pq95qnDsoXWHiSUUzLLIrRdPojjXyYnOEGaTiNNu5pWtLYwt96FpOkW5Tl7e0sTU2nxSioYsCRxs7OXWNRMJx1OYJRFJFPjmvVvTzaey3Va+fvMsvHYjXCoIYOrYTd+x/SQ85VjCnQiubJ5qLaK4yIuq6swtSiK88P0MSRRt6W185dkIgiBw/txyXt1+coQK8GeurmNqZRbvFv9nwkr/16BrCoKqIOgqmmSm0GvGRArUOEgSoslNKtCdjrlLDm8G/VWzeTIMA0BPIEFJdi5E+wyBPJuLtn4lvezsx/CkpFQUXVUMepzVTSqRMpoNSVY0zFgsOpZT1D5BJNXfAZpmaDwlY0hO32B/Bx01GuC84hTfe0PNEEGbMCafE32dqJrOgioTyos/QouFjBxD79MkI91oJRORPbmketrwP/cbbjz/Kxw6GUESRWaUW0hu/HO6p7DozOJz53+M4BsPoDW2Mi67hMi0a3lukBoYSyhoFteIegHR5kL2GkmyaM44Dm3NTAIqqkYwkqShdWji3ttXhBYto705wewaC/k5Dj5+TjaamoUkCkguJ7ISIdV5BNFiJZDyZvRZWH+gl/PH+JCCvUgWG/6EmeNtQyqtZfkujrcGMiaoC+vcJF78KUqfwW6JI5C75pMkY1EC/f24S6oAJ+sGE4+SKLDnSDc76o3/AMZe6MFymmE4JSpoHTMTpb+d0PbnyK6aSdJTkbYh1mQfllArWjxKIqeWZ95qpH2wOnb3ET8nOkPcfvl3kLsOoooW4s5imrtFrGYBdFAUlZauMClVM4r1BQG56yD+tT8FdMxFtbyirM4Yl6bp7KjvRi0z0dkjUxHrpjDfx/f2FFJXeR1jzXk0dR7iM2sqqHbHUQUTrx8f4I7rp9DQNkAsqTGx2EpFVopJ56uo/sPISycgZtuIPfpVil0+tJYo2ed/iBN9SZqcCxEFAUtXNOO+Azy9vgFVreKRV45w0ew8Kv1/JhbsxZxfjiTAgT4HOw63U1HoxmqW2He8h3Nnl7NgSgl1Y/I40NRLvWJmXYeD86ZmcaI3SWtTisljBPwDMURBQNUyY0LLZ5byyEuH0+yzpKLxh7/t56oVtWn69eXLxmAxS+m/S/KcLJtRyoMv1mecKxBJkkypWFwW1u9uy+hK2BuMs62+i5WzSo1kcmqAloiFPzaOo7EjTFF2OR9Z6mNpjciu7iSRuMJhl4+8+Z8hu+8AQjKEddwCNrTbuWK5iVA0SZ7PzqVLq/nLi0PU5bJ8J9nus6vK+h9vHM7IftIUxFRssB+DjiDJmF05KAM9nHpjNbMVkzffaOkpCCDJSCYLqiMbHdB1AfToiGspqRRyMoaOIcvhs+fRFTAmeq9DRg/1oKSGJnHJlY1FTSJIssHfFm3oyIamkiAaRsbhGVzmaEZ8eaALdN0IPek60qZ7uWr2Z/n1y0NNgrw2+MFjh9B1mH9ddrqR0SkoRzdjm7iEyNtH0BIxAos/zy+eOszUmhwUReOcgj5iZg+9S75MXJUo9pkIv/lHtMHJU+1txb75t1w996Pc92YXgXCSeP5EHJaX0E7Jjogy9rrz6ImoJJaPR7Zacdg6Rng8spTJajrUNMCJrhCt3WHW7erhq1ePo8BhwpQKEMWBJRwg9NLdaUOdWzmNy2Yv46ltBrX4hvkeos/9OB3ik6bEyfeV0DXYxS7ba6XztKY94xyBtGEY/DXp2/g4zdM+yQM7ZCb3mxlbZujtq5rxTJnlzOdqZ5eJVRNXEPTWEEzJZIlhcqwpdoqTeaW7iMpCJ0sW2OnWbTQ39iGKAtX5FpQtjxA7ZhjhgXmfTBuGU+gNxIliw1I2F5MsYtV1NmzYz/E2g+HicZr53DV1yKJgTEBKkL5dLxNY8Cm6klYKs2ywa2SiMpFSeeCNnnTF953X5/O11flooR5kh5m7rysj+vxP0UK9iMBFk5YgNdtwHHjTeF4PKOgrbiK54X7jmah/HUvdBchrvoZ++A1MpZNpUbL55gstJBVjrNee7xkxDl3XmViVxaeunEqeE3jLbJzf4kJNpugPxrBZZErznWg6OGwyTpuJDXtaOXYywJwJeSyty2ezSeSBN9opy3exaFoRP390D+MqstB1nXA0lcEaMslShrQ6GHUgp2pBJFHAbJLYvG/IqWjtDtPcEcxoHGUxSRw9McCDL9ZTV5ODoo0MxDS1BxFFAV3XiSR1fvpqAP/gs9jeG+WHzyX5zvXjePnZwzjtJiZUZhGxFvPIriS6rnPd5DL2NzWy59jQKu6WNeP59FV1HG8L4LKZSCoqCGc3CPQfbRxk2UwkEsThcGcYCEFXM2oUdFVBDfch2pxD3eCScXRVQdc10AV0VCKamd5gHF3TyfHZEEQBfdjDIIoCEsOScbqGSRh6AO0mHcKZaopquN+oqg72IsgmJKsDpX/ogSQiILuzUULGeKXBhLGu60RTCmKwG11JkmMeIjeunJ6DXVLTLBvpDAwgQZLBkU3z7C9iMQkkZSefuSyPIpNBtVWx84B/Crs2GWOxmCW+vuZ6POvvSRcsadEghbZ4+rsfCbrImnYbxXoXaCn6LMXU+71MUA/j6D6GUjaDW1eP4xdPDBUnzZ1YQK7Plu5QpqhGaGl7vRHCy/fZKEg2w2t/QtUULKKMb9m1sPhq9HjE0Mnq72RlicaEHB8iKgWOKLo7G+eUpYiSGTUe4VPn5eJPWihzqcQ0E+0xC8dODqTHYdJH0ja1SAB/b4ju/hiv7WilvqmfS5eO4cnXjxGMJJhR5eT5zUKawXK0SyFr0jL+8pzBzrKYJT539SxeeOM4VcUe2ntj9Ci5/Oq+vWmP1eu08NWLVmIdNA5mITWC0278YIaREASBaCSWNgxgtCvdsLsV96Ix+PujjMtSaCi5iJ0ndQpzHLS1K8ydXMSOI0PPvChAVbGHN3cZwopFOTayBw4Sf+HPxuelE9At9nQHN4DogfX4lnwAPZlAH1S2ihzZiqV4LIk2w7tO7F2HVj6Pn7ZMY2l2Md0nAly+vGZQtxhK8p1kua0ZbVvXLKri6IkB3j7QQW2Zj4uWfISjbVFeqY+R7ZRZUeJm/Z729ER984UT+MPa/WkP/Zm3mmnpijC+wseSaSVIosCREwPceMF4dh7uRhRFXA4zn7m6jg07W+iPalTkWrBbZXTdkKfo6osSSyhpGW+P05JuiTscx072U1vmSxuHK1fU8PJWg/xwrHWAq1eMHcE+mj0hn51HuvEPxBhf7kkbhlOIJRTagnq6juYXj+3hKzfOZOa4PATRKJ4bbhgAHnzhMNecN45gOMHRlj6OtwYozXNRMkw+/L3iP9o4+Hy59Pf7CQ/rnCWKoiHRHRvpSYkW+5DXC4gJJb2fZnUzEB2a+KMhAedg03BN1xEFAbdNors9mPFm6wkdffCw3l4V/UzXjcYMtVXZBAN9IypAxWgULWVIhYuxBFoyalRcB7ux7X8WwWQkwv50ZQjRZEPw+vjGk0NecL+UgyO3HMU/xODxXfAJ4i27GHNsMylfJZZxixCPvUl0sDit9by72XV0iJmSSKr8ZWuYT1XPRTu2ydgoiJSX5bN0uouSPCcnuoLct70LkywiilYSyW4qi+JMLjmCcnwrwvG3qZ1/PXfdMJ6u7gHcFgFPcTn/de+ONMPF67Rwy5oJ6WY0V85yI2z6OfqpRL+m0P/mw0bC+a0nALAU1+Konknutp+BpuJe9QmU6asIrH8IXU0hOTyMuXgq5T3NaP0DCCYLFTmVJFeP4/4XjyBJIqbcErTTm+yMXcrrh4Z+r/beCMW5hpR5jtdGTsdm7rykhtePqUSTOhcsrOKb9w6G4USBRFLlZHeEmlIvWw50Mm9SIdsPdWUU0g2EE+zslFnsyjZYYU1vsmbWGp7ZNsSS+cglk9nX0MvGPW1UFHrIPUMryKMng+yu7+DBl45x26UTSZm8nOw6wcY9bThtJm68YDxfvXEmr+1sxSQLLJxSzAPDwiOXz3Cjbx1KeptyS4jUvz3iOoakvTldj6IE/JhzS9N1F6LNhWp1c/FCC067haIcJz8fTDYDuB1mvnLjTNp7IkTiCvk+Gy67icMtA0yrzcNqkTgctvLzF4eevS2H+/jKTbNo94dJpjRyvDZyvXZWL6gyQmmiwGvbT7BqXjk/fHAH+Vl2blg1nj8/fyg9we8/3sMdt8xiepULf0jBoQb48g0zOdDYS2NbgCljcphYnc3D64xQTSCcIM83MkwzuTqH6hIPBdkOLCYJkyymDUppvot4UuG8OeW8sfMkAnDBgkoa2wM8v6kZgA+cNxaTLI5ottQfy/QGOrpD5EpBRF1FTxnTtMdpJj/LwcmuEAunFqHrOh09EfKz7CyeVoLLMdIJfC/4jzYOkiSTk5PZ9D4310Xk6Ha6XvhF5r7uHLxzLqL3jT8BIFjs5F/2RTpf+AWIMvumfIF7X+/IOCbPZ+MrF2QT7evFSYQsXaV//aPpz1MLP8I9b3bT2WsYnC+sLqJ8++/TiUUAW+VUQzK6eR+2qjq0RHQELdU5ZRnx5gMoQT+SKxvPrAvof+tx9FQCwWQh+7xb6X32l6iDXp6cU8ay8Vfx527jusf7BKrnfBhvuAl9oA25fDrxhk3Ejm7FnFuO2LqH1ImdOCcvxehwp9MbHFmMdqI7ijKhOM2/16ddSmfMTH1zK/XNvaycW2F872EPflWuGYYVqGkHXsZ23jRsQhKbycyuY/0Z1MeBcII2v1GMFowk8ciJEb0KhtdeACTajuKoGxqvbnMRePE3/4+9vwyQ47zy/fFPVTVz9zAzaEajETNLFlmyLZPMduzEThyHnGxgN84GNptsNptkN5zYcZwYYmYWs8UMI2mYuZkK/i9q1KP2+N7r3c3de/d3/+eVNDPdVV1d9ZzznPMFUk19USLeeYbRneMaR5aiOpYuvp26q02IAjiNYLr+K4zueg4lOIR1ygp2hCrp6E8nijktEp9amYfDLGB1qLjf/2c2ZZcgGE2cHbmXFbOKyMvQndIy3Bb6hiO8vU9PyhbLRNc+gO6hKOa8CiLBIdSe86xZPI85901lNKzgdds42TLKy9v1xXI4EOfWq2omvMfCydmEovp1MpiMvLOnhdYxg59QNMmvXzrB1+6ayWgwhqpBQlbovwK5YxPiadc10deKpbCGyIV0uLNodaYRFa1Vswif3AboqKLBpX/LDx87luLUrJlXSm2JNyUvXV+ewXsftKd2LDaLgc/e2Mgz751LtXQWTy1gSmUmJy7qO52krHKmeYi39rQgqxpfvn06k8p8PPWuvpAbJJE7104i16nxpVWZhGSJP711ho3LKhkc0Vu8douB3758it6xz+xYX8fpUy0cPKPfm4fP9XPy0iC3rq7lB08cxGYxUJBlZ+n0ArYf0QutklwXOT5bmjd3cY6D21bX0tEXxGY1IisKZ1uHuXZxBZqmkeG28LtXTukoJKuR7Uc62bi0kuc2jz/ja+eVpjxCAJbWe5kvHCF26FVQZEwVM/n5J65G7TqDaegwiSlT6LWa+MHz+ue/1OXn+IUBvnHPrAn3xX8m/j+dHP5HoSkKzqkrCR7TkTWCwYRn9noEsxXR5sKUWYi9Zi7K5V2EKuO1TAQ5ZziMGJu24ryks3xjFdPJWHs/kQuHMHrz2JkopHfoYurvf7d1gB/c+DCG46+QHOrEVjUTgyszhWSJtZ3Gs+im9OQgiJiyigid0B9AJTiEnJTxLLoZLR7B4M0lcHxbKjEAyIPtzJ+R4AWLgaSs4rAZ+dqfTmI2SbjtJdxqSjJFFHHPXEes+wK2yhkYXBlomoYpvwoUmUzXxCpkRm02hiIHYYOTiOTirbMyV+VK9A1HaCj34XOayMuwp4bDTpuRq8pV5B2tgM5+7Zn6Sf75DydTCWT1XAufvGYyoVgScax1MjASYc3sQg43DVFVnkvgiEWf/Vy+JEYzRm960pcj4xV+PBTgSsSQo24B/g8+ZPnZcQZ7sB9p9+8B8BdO4WTRJtqtN+DLFJlTVkjP3va01yyqz6DYHiPr2L/oHJY1D2IomESiS6/Ac+Y52HZigC0Hx2UrNi6tJDfDRu9QhONNg8xvzE8z3QGYWpVJ/LB+jSxljfR7p/DT588xHIjhcZi5eWVVyohHVTVauv1ct7iMN/a06pDbOh9zPP0ci+iD/3hCpXcowsalFRgNEpIosP9UD8P+OE3towA8+c45vnTrdF7ZcYlBfxRbRjaS3Z3i6sS7mvCtuJvEUM/YLEbA3Lga1ZWLaHGgJmMIk1YSKZ6PFA4j9TXB3Dv5zWstaWTLd/a1csea2lRyqCz0pA10IzGZF7ddZE59HntO6Mzqnce6uH11bSo5gN7mycu0EYgksZmNvL5r3G5WVlRe3NbE9I3Z5EkjmNQgdevr2NEW5o09rYiiwIaF5ZQXulPJIcNlSSWGy3Gx06+TH5dVEU3IPPraaT57wxTWzC1FVlRUVePbj44z+u1WI8tnFfOTpw+n/K1n1+dQnu/iha06iu+21dVsWqmbP/lDcQqznQyORvny7dPp6A1hNknk+Gy8f0AvIAQBrq5WiO0YVx42u7yoex9HHWgnAdBylPyqBUwtn86xZv37CsdkegbD5P8VrUL/n0wOCJAY6MC7+JaUk1ng+FbstfOw18xBHu1j6P3H8S4dF//Lj5xnSkUZJy7pD7bZJHHrbAfq9nFxs1jbKcx55SihUbSkTBuT0w4bjCT5120hvj6lDlNmAYnhnpQ9JOjqkmo8QubVnyV4fAuiyYJz2lWo0TDmvArk0Ci2yUvYEy7BgILHECdT82Hqa+HDIclR1i0owyAJJMfQUvGEQn8iis2WAxGF0b0v6efdehLJlYl33Wf5IDkNgyRQ7bFx88pqXt/VTDQuU1+ewfKZxTzy7FFGQ0kkcZiHNtaSP3yEb69z43KIHBkcYWZdDk6bEVWD8mwzjn0/Tk1h5NpV/GbrYNrO4t39bXxifV1Kwrok18mdaydR0vwyS/KDaOEl+JbdzsBInKDgwEGYbLdJBxNc+XnNVkzZpWAwo1nSrUgFoznNmyN1va9o3w2VrODR18dFAqs8Muvsp2lc10jbsEaxT6QwdApjzER0rMUVeueX2G74Fmo0AZpCOEnaggbw1p4WvnFrHdLABeKSBJkO1i8sY/OBdiRJ5Or5pVTmWci4/usIcoxRycePfnMwhegZDcX501tn2bCoPGVsv/dkD1+7vpQFq0VUQcLevR3xfAi/ZxMAXQNB7lo7iSffOUswoifdqxeUYzGN6zgNjETZdayLmhIPFYqbbWfD3LD0s4i7H0P19yE5MwiY8zBv+AYGfx+iyUJPwsHPXjjN1dMexGIUePdkAHdnN59vzEFwZzAsuekbTk+okK6xFb+CMHY5Wrr9TK9JV0W4UrbEZjFQnGHki6Vn0IwWWvzpOydBgI1Lq/jd3l5ONit4nV7uXuvkg9PNqXvtha0XuHVVDQdO902wQ01/LyGNp9HaG2TltHw0DXr8McymcdG8RVMLeG1nM1fOoA+c7uPrd82krsyn8xxyHLy8o5nKQg9mo0QomiAv08bFjhFe3dlCZaGb29fU8pXbZxCNy1hMEq7E+TQXeSmnEvno+2nnqV7Yy/rlKygrzmLIH2XfyR7M/538HP6vDUHE4MpgZOdYC0iU8K24i9Fdz6dEthBEDJ5sBJMF0WjGl5PJvVW5tM4oJJbUqM41kzV4mOHLfWrJgG/lPYTO7iXR2wwGE9OXbGLr0fRW1JKGDCLHHtd7tyYr7llXY73h2wjxEGFZImC2IG77JSZfPmoixsiuF7BVNCI5vBizioldOEDJzKn88p0ueoejzKgWeWDyMqJH3rryAxKz57JzSxcGSWTl7OK0IaemyIRO7047LyUwSCQaxylHkBMCz23p46aV1ZRmW4klVTKdRgKhII/cO5tRfwSv24ZDHiWx7zTetmMIZhvTNvwD3/rTqRQKxGqW+PGdDyGc34lppIWR/KkMByYa5FyJGmnrDdI9EKTSnYky3IVmdXM2YObnu3oJhCM4bSY+tyafOoeepAWTFc/S2xi0FPMC1xCNatxhzsU462a0Qy+AphLvb8dS1kisZRznLhhMOrFxLAbi6RIIUUUk8+z7FAubKbM5US6GQFVIXmG6I1odhGQjX/tLO7Ki8tDN6bsZ0BdD8/BFbB/8DgCpYTVrZ2xgbrUHQYBMi4LFbiaKA4wwMDwR6hlLKGmAiky3hcxYB6b9j+vfHWBf/yU2v6Cj1QwGkVd3XUq9j6rB67ubefCGKWnvm+uzsfVwR+rvGktrKVv9NeRIAMXqxOzwIBolxGwHoihwZE8rw4EYf94xjoorzZPosDcQGOin1O6kNM+VamddjuJcJ3aLAUkSKcqZiKufXJ7Bpc7R1P/dDhMVhW4WTMnHaTNSW+ojy38W+Zy+e/aVrUQcQ2YBTK/J5uCZ3hR/ZiQY59+eP8ltq2t58p1xuOeFjlFK8pxc6vRzpmWIqdWZHGsaT+bFuU6MH9IDK811pp4bgyhw17paeocimIwSlYXuFLT5yghFk3QNhBEFnQmel2lPtcBcdhO3raph/pR8akt1r/GBkShPv3suNR9Z0pjLtXWrkc68C0BSnEhsS867h70tSXYdbyfXZ+PT10+hNPuvN4yG/1eTg6ahxiPj5igGE6LZqhPLYiEEkwXfynvQJCO+ZXeCICDaXGTFO3ENX0SNBLC6ZqBZHHgWbBzjIIioyRiumWtIFumCX6LSwY3LK3ltZzOKqrFyVhEziw3YHTeMrdQastFB7ORuxLaDGDJK8ExZwnA8QrR1nAEp1s0n2nEeLRbEmFNGVY6RH24qQFVkRMlIhGUIcRmx8xiC0Yoy40ZdgnlyC4KSIGG38dD19fz+9XPEEspHwu1cM9aQvLSPytO7QBSZ1LCO7sEMznbGiSdlDp4d4G/umIHXZsJrG/MIVmxEZt6C1qCTuuxWie/fO5Xz7SMkkiqFhVn8/QsnMBkqyPXVk31JpjDbkSafLQgTBfpau/0sX78eW8NahsNJfvLGvlS1Fowk+ckbnfzTg3PJvPvHCAYj7aMq3/nTCWbU5uCxSvzD02f4xu2LMGTXEg/50Xw5ZLkMSFYnkaYDGDMK8Cy9neG3f4MxswhUGbc5/Zq8ezbOA5OvQjn1XqrVItQsIWnPwjF1FZIrA1PpVALmLL51XyaKqiGJwgQ55smlbhwDR1IaVsrJd7FWzOT5nVGMRpGrF5RR7DSm+CEOq2nCwFIUBaZUZGAxTcJhNVKW78IWbEOqnQ/xMNQup9tUwgPXjX2XdlNqRnFljFzhD12c42RejQuvoxxNFHFJCWpcUWy+AjSvbwJaSlU1plVn8erOS2m/Wz23hPYRmYjsJSOuctPySv709jn6hiOYjRLXLanA6zDzwMYpgIbXYeb6ZZW8vkuv6guzHVy/tJI397RgNIjUlni5c00tDquR9QtKkSSR9t4gL1y0sWD+l5BQiCc17rm6jmfeO080LlNX5uPPV2D+QU+IHx76luW7sA1JRGIyPqeZ2XW51JZkcPzCAJNKfZTmubg0hmATRYGrZhfjdpoJxmQUVSORVFFVOHFhkLbeAH9zx0wmV2SkoZNEQUePvTbW9np9dwt3X12X+n0gnOC9A+3ctXYSL227yMLGfC50jKYho3Yc72X2dbMoFN4HTSVmcCJ681FH9LabVDSZ59t87D6lz0I6+kP8+sXjfP+TM3FY/nqy3f+fZkh/VGRlOQn3tuN///fE2sfd09yr7ifuKsaqBJANNqwGFbm3GTUZRxBFBIMJVZYJndiKaHWQ6GvFu/gWDN5cXYJDUfB/8BrOKcsYev9xRJsT37I7EfPr6A9rqBrkmmMMv/EznPWL9KrVnUvgyLvILeO+zKLFjmv66lTLB8AxdSX2mRtQ42FUawZidAj/lj+S6G7CXFCDe+W9JMJBlM4zCHYP5pxSBl74R7iiT2+++qvsG/YSjSt4bRIzQtuJHtMrE8nuxjF5Cf4PXku7VtKKz2IomU4gFMFiteG0SGgaqapNECAST0BkRGcS2zwYJQFxDL0Rist87/ED9A3rN75BEvn6XTN59LVT9A5FsJoN3LluEm/vbaWjb3xm8OVNk6kv09sMHYNh/v7RD/hwfPu+ORRn2TEYRLYfbkMRjWw71EE8qbBoagGKonDjklJkRUTQFJL7/4JoMmMuqEKN+In2d2KvmErk7F7dy3jSQoZkO45IN0IyiuzMA1cW8Z4WDEqYpGRFyCjB5nSP8Ql0ZvYHZ/p03gswqcRLZ3+IHUe76OgLMrM2i2tKRjHt/h1XzkCi8z7F19/UF2pBgO98ai5FmXZUFSRRY9epPh5//TSqpv/+ttW1LG3MR8+hApuPdPLUu+epKHRhNkq094a4d0M9u4510dITYGZtDsW5Tv7werpG0ffun0csISMKAvmZNtp6/Tz2+jmGAjGWTM3nhsWl2CxXOM4J0OeP09kfwmKSKMl10j8a5aVtFwnHZDYsLCPTbeVHTx4iHJPJ9dn42h3T6BoMM+BPYLdIFOY4+eETh1LS2GaTxH3X1jM4HEMQdF2gPce7+Pymqame/8Ip+eR6LKkk1DMS5ZHf7UvBYVUNvnf/XBJJlZFQnKIcJ//0p0Np8FiAu9ZN4k9jxkwZLgs3LK8kFEngc1vZebSLDYvKGfZH6ewPkeuzEZcVOvpC1JT4UFSVrv4QVrOB18YS2byGPAqznTw/1na6YVklLruJg2f7OHVpCJ/Lws0rq3htZ3OKOwKweFoBzV3+VFEkigIP3zaN9p4QZQUufv/KqQnnvmllFUvyI2jJGKPWQoLDQ+QGTmMeukB0+q18+Y8XJiTwh25sYHplFh83/v8M6Y+KeAjPoptJDnWjRAIYvbkIrhzu+/k5FFXjxkWFXF8eZGTXcymkjGT3YF//MO92F9AfUFg4x4hh5BSCs5jhgUFcRhnfjNUYHD58K+5ECQcYPfgmGetKyJSDur8DJuSRfvydLciufDIEIS0xwJiftTE9+0uFk9lyPs5wQOaqujDyaz9CCY8CkBjsINl+ktFt4/r+ktOHZ+ZaRve+PP4mp9/l6OhSTjSPcP3SSjYnGpg9Nxd77zGkirlET7034TJZB87ASDPOrnPYp16FsWAS8kAryd5LGPMqiTkKUA+9inphL5LNhTr7ViibjnGMV2EzSnz3rgbkwXbkkB9rVh4nR0LMqM2mNM9NIBxHQKMkx0FHXxBRFLh6fgnVhV4s0V7URBSvLWdCJW2QBDx2XY5dEMDttvPTvxxL/f6FrRe4c20tsqITj4yxEQJ9LQRm3kefX8NpyaWm1MvACz9MvUYom4Vhzx8JpeC+Au7r/oZtQ27OtmqU5LqwD4VYOMWJ0WJAFDX6/TG2HemkZ2whuOWqap7bcoEZtdnUlBTjMipYL7yPkq5zjiUzH9DnRJoGe070YDSInG4eYsWsYkYCMW5dVUtSUTEaRPad7KGhPINslxlRHO/hX+rU2zc3r6jiD6+fTrnlbT7YTmNVJkumF7DjSBeiKHDHmlpyvRaksfZUz2iMf3ryaGqB2XakC0EUWTuvmN7BKB6HCVESeOR3+1NF1w3zc7nae4kHM9rRJCPmnmPYS27khw8uQBNEjKKGWRKxF5spSiiYDRJPv3c+zTMhnlBoahvlxIWBVLW8cGoBWw91ptRadx7t4tufnEssoSBKAj6Xhe89MJ8LnaMkkgrlBW5cNhOHmwboGQyT6bZw/bJK/vDaqVT/f9akbOrLfHz5tukIgkBptpXkQBunAgnaWkdYX2egyhlBy81hfn0u0aTCG3tayfbaeP+DNlx2E4umFfBvz47fV/tO9rBqjollMwqxW430DIaIJ60YDSI3r6zGaBA5cWEwLTEAJJJqiuhpNIh85vopvLazmab2UeY35DGlMjOF3rocGW4rX3j6IklZY2q1yMYlFRxLuhhxTWOuNRu3vZ3RUDqi0PhXtlb+fzI5iILAwLt/QB5oB9EAqoxr3g383a2z+O5TZ8j1WgmdeQeheBqhnKmIqNhbdzJ66TRbTzoIRZOc7TRx/zUr+f2LZxkNxfE6zXxhfT7VQpKAMROT14OzzkZ8sAul8zSCJBEe7iV89T/w5y3ttJ+M8MPbSsecrdKhmgZ3DiCAKCFOWcPJcAbPb7nAaChOjcVNzlhiALDXzCF45N201yvBYQRDeoJR5QQbZnhZVS3gKPDy7ccu8ppJoiRvKSa/yKdySuBDg23J6iJ47H3UeITEu7/DPW8joVM7UYJDmGZeixo7hdqkzy6U8Chs+zVmzyMcDXiQZZWGIiumEy+TiMZQ3QUk926jbM7dhON2dh/XMftep4V10zxsKNUx3T7hPPaIgn//q0g2Fxm1C3jgqjx+9W43qqq75d1/VT7eRC//+kKYujIvQ/6JsNu9J3tS/sBFmVaCDZ/mp386hqbB5DIvD2XsxNGwFIMnS5dBT0TTeCCgEd7xZyrmfIFn3hvgWNMAC6fk0Vvk4ULHCG67iYSspRIDgCSJaJqWQsEUZjmYu/5upD2PoQy2I1rsaHPvZEj0cTk5gD58PdY0QN9whEdfPcX6hWUcONOJqmoMBWLEE8pYq8qMqmpMrcrixa0XUguh12VJJYbLcfzCIF+6dTo5PjuiAEfP9zOzJguHWX/kO/qDEyrPaDxJ92CElu4AdqsRh9VIRYGbCx2jiKLAsqIYwffHUTQRIFq+lHNhmbbeIHWlXnJ8do409XOqeYhp1VkTFjCAWEImL9PO4GiUmXW5lOY6cdlNVBR6GPJH8YfitPcF2X28G4/TzIKGfP789hm8LisWk8Qbu5u5Y40+cDcbDXhdFvad7OZzm6YRjSWxmAw0tY/Q3B2gsz+EpmkMj5iZMryHxraDGOwekpe6iV4ow3nd11E1CxaDQKbHyr6TPcyYlIMkCjRfIelyOU5eHGTRtHze2N1CQ0Umc+pzGfFHMCSCaJKFgqn57D2ZPmec15DLvz13DID1C8p4dnNTSgBw78kePrG+juZuJ+29QQQBVs4q5mzrMIunFWE1Sxw43cvh8/3kZ9qxWo0YRB0F9/gb4zvDqiIPmX9FpBL8P5oc4oERPTFASmIhePB16m6bAYBoNBIunMOTJ40cPjSKKMDaGeu5yhHFblUJRZNcNbuEX7x4KtVfHgnGeWJHL1+7OodowE/YYMGaNRl3oo/IpSNoioxz9gb2nurhbIde8akGM5ZZG9M8hqW8GhLOPDyLdLluxewmGlWZWpOFpmpopsuba/3JFk0W1PhEJqe+Uxn/O9fUFcib/xktFkZZ/y1qS72cax3hfJs+2O1vmENO+xHUiH5uxox8BElKIwWGz+2HxZ8iEIjhzcuH934MCBh9eajxsN6b93fx25fbSCjwr7fnMZgxkyc/CNF2NMKcmg3Mjtt5/I0jaJq+gFUUurh7XR3nk4UYJIGKDJEygthqZoOcRDKbmZMXofjGLEbiRrxmmTxzCFnIwmE1EggnJ9gjGiSBtfNK2Xeql4udfpK12fiDsdRiWJhlx14+g9Cx9wmd3A6AbcX9E66hEhomewzSazZKVJf4+N6YDWqOz0ZdmQ+jQWRaTTYmo8ihs33cvrqW5zY3kZBVFk0r4OvPXGJx3U3UlmmMJiRefn+UO9bI5Ph068eRYIySXFca/FX3WyjhfNsICxsLMJskzCaJpm4/Rkkkw23lO5+cy+t7WghFZdz2iX1mo0Gksz+YQjgBDAeiuB0JEAV8H7pmVUUeHFYTP33maOpn8xvyWD23hAsdo2R7rRgGL1zJ/0drWMevto5wvlN/lt7c08LV88s42zZMc5efM83D3La6ZgKCq6rQQ/dgmJpiHycuDbD9cAd3rJ3E4GiMsnx9V/CTZ8Z31LuPd/PwrdN5aftFBv1R1s7TUXh3X13H0GgMj9PEnesm8fjrZ+gZDGM2SVy3uIIsr5Vn329KzQ+CDTfQl7ea0XCS8jkmss48x/BIkH3N/VQWeognFdwOE3uPdyFKIqtmF0+4roXZDo43DRKJyXxwupdl1WaqhvaQPL8X0ZuLef5t/OOn59Hcoy/0PpcFs0Hihxt9hMMxxFwnL++4hCCAzWIkGkvyxFtn+crtM2jvDWAySnicZkYCcd77oI1wNMni6YVke6xke204bSaiCYVsr5X7NtQTjCYxGkSyvVZGQ3HyPoIg+R+N/yeTw0dB2TRFJqHqW7+4IrLfn8Xhi62A3uN889AA1WX13D53CINmweQ18vIVsDyTQeQz80zEX/oOxjGWrZZTSWTuJpSgjqLwb3+K61Z8ki0n9aFlTLDyQksuaxY+hD3URcKawYmAm7JRCbPsQxI03B2nyautZdvJEUaDcbK9eRSufRj57X8BIHLhMM6pK/Dvv8JTWTRgzqvEWjEVTU7ibFhC4Nj7aGOS3vQ2MW/yVOwWI8eaBijMdjAoZFK87iuY+04iCCLGzCL6X/5J6i0lu5uu2V/k5y82EYwkcdqCfOWWvyU21MfBtjhZuRKNvjAuuwVZ1RcDzebj+8+fS+Hed54cYDCkMHNSTqq6XjajmO8+diD1ndy3PA9v/4skusf4IaJE9nVfJMt/FldXE+a8ckJ5UznQpmvaeF06D8A+xlYH3b7z2c1NKZmC081DLJ9RSE2xVx+WqzqzN9E/vlPQ3Llp1pMAYs1iDnXole/s+lw2H2hPJZiBkQjVSysozXOx81gX8YTCgin5+FxmblpZRVLWpSuicZm3jwzw9th7FmQ5cNlNNFZlYjRIzJyUzZNX4P6nVWcx6I/y1t7W1M9uX1PL8QuD7DzWhctuYun0QiaX+fjMdTpUesQfpLHcw/Hm0dRrblpczLnOcZHDm+Zlkt/6JqPH30cQRCpmX8MdS6t4crs+5JxVl8Mz741DeUGvauc16AgsSRRQXPlpvx90VHG+M52z8c7+Vm5YXkVzlx9ZUTlxcZBPX9/Am3taUzah2w93cOyCfo/4XBZuXVXDT54+QmJM6XTTVTXkZ9pT7Zl4QuFCxyjNXX6SskpxjpOm9pEUdwLg2sXlGMdaN/GEwrObm3hgYwNLphegaqBqGr979Rwd/eOzrS9sup2upjBDfr1wsJgM1JT4MBokHFYjGR4rlYVuLo7tIJw2I1OqMnnsNb1ibyz3UNj5HolL+kxM6W8l8vqPSCz+Ko++qreJJpX6uGFZBcbYKFZRRDWZmT8lj4oCT4rH0jscRlU1/vJ+E26HmU9dOzmNC/LWnhbuWFPLU++c41KXn5JcJ/ddU09Hv0ym24KianQPhKgt+fiKrB8n/p9MDiZ3JqLFnvI/ALDVzEG1uPnOpjKycm388Nm2Ca872zrChuE/I4/0YMgs5qsbbucHr+qIgeUNGdhOPIdyxeKi9V1EiqfD+pJndzK37jq2He1FVmH32RF2nQGnzUcklkRRB3goO4dfvKlX7F+8+Tp+/sSJlH7P81svoi6tYObyr2KI9KM4MnAZw7jnbCBy4RCSw4u9Zg7J0X7UaAjBYCQ52ke8c/zBN517F0d9GdG4zMallfQOhzl3qY8G/zlMFglVkWG0T9eaGttJxBc8wE9fOp/aKWkanO+K8PS74zIdb9iMfPsTdYD+4PeFxTRCFMCZlmFuuaqag2f6qC72crxpIC1Zz80JEzk2ThxEVRjZ9Zyu39N9ASU0yp7kdJ7ern+enqEwP37yCJ+/eSoXOkZRVJXyPBev7GhOO+72I518euNkzrePYDdArP1U2u8Tw30IKz+PeOhZ1NAI1CxCq1vF04/qC4HDakxrkagaGESR374xzpZ9dnMT911Tz4tbLxJLKNSWepk7OS/VZhAEWDe/lB88cTCVZN7d38q96+u51KWfT22pL22RznBbCIbH0S89g2EudIzyt3fPwj4GC/Umerm7uI3Ommr6QlDiVsnpex9P8UKOnNfJWgs8/UQ/eEf/7lAI7XuRZWs/h7h2EvGkQkGmY6KeE3oL1mo2IAqQyKhCyq5A69eRUDI6b8IgibjsJkaDMRRVS3NgO9Y0QENFJiW5TlRV44k3z/CZG6bgdpgZ9Me4bklFKjGALn73l/fOc9PK6hT35cNRkutKQUMvx5t7Wrl+aSXtVwAbFEXj/QPtiILAnesmpSUGgD+/fZ47xhLvlMpM/KEET7w5DlLZcbSTr981i6b2EWRVozTXyc/+Mr6zWlBpQTl0IO09UWQs0XFW/dnWYYLRYrqoIRKXmSJIeBzmtMV/1qQc3VEYsJklWnsmtrO2HOqgqsij+0X3BjnbOkwomuS9D9rI8dmZ35D3P3BX/I/Hx0oO0WiU8+fPM3XqVJ555hlOnjzJQw89RH5+/v/6xf8XRmRkAM/Cm4i1nSI51I21rAFEA2pkFM/738E8Yy11BfW0f8jYpNStorTr1Zg82E5J7zYaSmdysjVArkdC7e6fcCwxkT6cwplFqccJ9KKER1lQl8nu04MprLnbYaJneFzMrnsoNsGa8P2DHUSnFvDWHpW7l0rMOPMHRLMVS8lk1EiQoc1P4F10M/Hui4CGtaxRh+nWLCfpzEHsOUlN71vkz7+e7sEAkyoslFlC0JcgcGg7gsGIc9oqfGs+zVBHG4SHGDQVEI2P49vnNeTx/gfpCTQYSdLWF0YQBVA0LB9xd1nNhtRCYLca0oaVggDGZGjCa+TRAbxLbiN0bDPJ8vm8eSBdhCwUTdLRF+D13foC+oXrqiceWBDI94ydkMGAktcAPc2YsovRVIXk9t8iXPsdoiu+iqjJ+BULbZ1hrltayZnmIbJ9Vq6aXcyL2/TEleWxcq5tZMJhth/upKEyk4Nn+jjXOsK1i8u5YVkl+0/1Mrsum6NN/WmLsKxo9Az4+czaYtoGopRnp7d7ZtTmpDyZL4eqanT0BykfSw4GNYF04lVKBJFSkyVF+KvbsIKGCh+L6zxYWp+e4DuduHQIX8lN9AxFCEUTFGY56BwYv/4+l4WyPCc/fmghBkmgbyTMcM2deCoGEVGwZhXwyRVGqs0DmMJdRF3FNMUyONY2QqbHQjCSxGY2EI4l0z7D9sOdXL+0gmAkiYqWBv0FUFQtDXloNklYzYYUKOHD8tv6dVQRP2RZHkvIRMY4NCMfQgOBDivtHku2kiSw5VBH2u8jMZmWbj+v7bxEIJJk7uQ86ssyOHxef84DMQ3R5kwVUJdD5yXo9/WsuhxOXhxi69h7Gw3iBG7EwbN9rJ5TzPTqDPI9RhzWiW1Cn8uSEhqsKvLQ0R9i9zH9mg6OxrjYMcrf3Dljwuv+M/GxksM3vvENioqKEEWRRx99lOuuu45HHnmExx577H/94v8LQzTbGX7rZ5jzqzDllBJuOgSqjGOS7hWd7L3EqhnzOXwpkPJImFTipkpoT9OVSbSf4JZV1zGpUsbpMWGZtIjoiXSzG6PDk/q3YDARKl1MY3Yu38r3kecWuCHUQaE3h70XIlTmWamtyOWxMQiipmlI0ocdEnTGaHTspo+qBsxFtcRaThA+syf1NwZ3FpfnDbGhHoZWfpvfvt1K73CUqeXzuWdFIY63vkdlNIQxqwRD3XxGjuiIJU1O4N/3Mp51n+U7+1wYDF4eqDFgkMRUlW+QJoqHAaiyTJ7PRiSukO0UmFHp5vDF8Uro9lVViJJEY1UWxTkuCrPtKTkJTQPBmTHhPW1VM0EyINYsRjSZsFsMaZr5AD67RCKpK9FmOSA/w0r30PgsZu30TNxmhdtW12AzGZDz5jPkmcKOcyFMBli8yoVRs/DIY8dTn3HDonJONw9iMRkIR2USssraeaXsPdlNptdKhntif9duMaYtdvGEjMlmoizfhSSKJJITr1kiGmOK/xUmR0MoLfXUFNdzvl2/ZrGEjM1iYDh9/cFmGZc3ET15qZ3w5cRgKZqEeHELDzlGoVPE4M2boNklZJTw/NaLdA2EkESBe6+p53TzEMcvDDKp1MumFdVYruCgKJrAgeYo8xoqEQSBHKPM9IHXSHbqVbANWDD3egrmL+HguQFyfXZK89388In06jo3w06m04zPbiKcULBbDGlESIMkUlnoYUZtNm67iQWN+fz+lfEdmqxoOKzGtCF8fZmPriv4MytmFXG2dbytZjRIGCQhpd8EsLAxn0Nj6r+hSJKkPJG9rVzGEwP7T/XwN3fMYEZdNsFwEqfTjL3wToLvjLvWGfJrOD5oAfTCsqbYm0bEkxWVj0Tcy1HummFEElQ6BAsZbgtD/tjY9RBY2JjPxc5Rbl5ZTa7Pxq9emugE5w8mIPsj3vs/GB8rOXR0dPCzn/2Mf/3Xf2Xjxo089NBD3HDDDX+9s/gvDsmViXHSEuJndxDvvgCCiOuaL2NVgwgLbsDgysKe6OBbq8z0hKwYRIHifC/hF36e/j45Vbyyr4eDTfri9r3bFpMtJ4md3YVkd2NedCeCtwD3dV8DVHrjdqKWTM4c76CpK8i8yfmU+CpY0vZnFpZ5MRpFXu9elGrFaJp+M02QOF5YnrrhrKKMrXIG8kif7vMgiDgbl4EokbHqPjRVYThzKt//7bHUones2c9vZY0HCxvhwh4MrgzC5ydyCZJd55gxaT6XukZx2Yzcsko3QlFVjYNn+7h6QSlPvTu+9TcbJcoyjXz7vjloGgyNBrh9rpsVtRb8cZFcu4LDFacj5mRBYx5DY+bsd62bxNv7WjEZJJJWH95ldxA4+CZK2I+teha26tkcHXZwTlqOMyHz6Wuz+PbjR1LVZYbLTKVX4Uefno2sqHjtAl9aZuNYn4sLAzKzSoxU+TSMzkwaKxK4XWYutI/yLy+0ps5964khvvmJ2UyryWLYH2Ph1AJau/00j0ljm40SAhpdgxHmN+QTjCSwmiRsY2ZHoO/0rltQQHNLLzZDBjNLjFR7I7zTqruIBcJxptdkpw1oBQEWTiuEAwJaMo7T6+WhGXXsODXAobP95HitzKzNSRvQep1msq5ApiRMXjJu/DuCe54l0deCrWo2RncGIzuf43KB4Ft2R5p2kujKRiuYQtfAudR5lOQ48bkszG/IR5JI8VUuf7bO/hAVhR6eevccsbjCd67xphLD5QgfeA3/jAre3a8vukU5DtbOL0t5JDttRubU56a+O4fZwBdumca//uUo4ZiM2STxwHUN9A2HmVOfi6KpDPpjXDWnlEA4QTyp4HGa+eIt03hzTwuXunTpjYWN+WS4LCyamo/TZuZ8+1DakP/tfS188ZbpvLrzEgOjUZZM02cRl9ncr+9qZu28Uh5/Y7ytZJBEygvcVBR6CEUSLJpaQJbHmkIVDY3GiEyZgvfmbyMPdyJaXfgt+Zx9f7zV+mEvmZ7BMGX5Llq6x7O9z2VBM9jY3+dCFAWqigwsn1mE0SCiKBqFYwz1M83D9AyFqS72cO+Gev7w2um0lqzZ9KGt038yPlZykGX95t+9ezdf+9rXUBSFSGSiVs1/lzAnAzBzA0rtAl28zpWFSQ7Q9/w/6ZWXIOJZdBO20UFqXF7QNEyaCa16NpEmvQqS7G7cc69hRrcFk9nM5HIfF/0ahtrrsNWuJoFEQhAQjr9N+NgWQMNXOZNzOat4frs+rDp+YYg1c4uZXHs3NpNAXFbJiwrkZw6nhnEX24f527tncrHTz0gwTl2ZD7fdxKaVVZxtHaGgIJvwufewljYgORaBIBC5eARTTjmizQmSke7B6IQh/Nn2AOGGSVgv7EEJj2BwZ+myH1eEbMuivyuC12khEpMpyXHwhU1TGfLHyHBZ8LnMPHj9ZLYc6iTbJbGm3o5gtrHneAeyolFT7ObskAWXGsMrRWkdMWPS7Ow61p5qyVy9oAyzUeD6pZUoikprQKQ+swj3vOtAA8FkYdhSwAdHBznfPkJVkReHO84/3lnL0YvDuC1QaRnCxygJdwEA5zr99PZLzMgMsTAjyqjm5KXjAlc5YwyMRhEkga2H01sIujNaH6Kg4+o7+4P0DEUoy3NQV2DFZjUxs1DiB68HeXusLWATE3z77kaaukLEkwr1RQ7sW39EdjLKAlcmyeNdaIpM5fSH+cV7+vFuW1XNN+6axRt7mjEZJdYvLKMwy4ZlzYMIcgLF4sWOmavnFLN2dgkZPhuv7bzEfdfUM+SPYbMY0TTdqP5yaBoETLnE5j2AQUugWkwEXvsBVxLvRnY9R8bNjxAd7gdBRDIYEGOD3Laqmo7+MOsWlHDgdD8vbx+f96yeW8I1C8uwGnSIrsdh5l+eHk9So6NBPB9+uFSZkmwbm1ZWI0kCB073UVXo4XM3NyIKAqW5TtzW8V2PrKrsPt7F6nmlGCQRVdXYc7yLDK+N9/brbcubV1YxGkyw54QuBzOrLochv95und+QR1PHCO19TnI8VqoL3QiAIGSkJe5EUiXba+ELNzeiaDqT+Zn3x3dSPUORFAdh6+EO3HYTa+eXoSgKVpOIzWwlmVRIygpmk0QsoWC3GgjGNWyeUvCUogJaTKa+LEZDZSYCkPUh2e9dx7r49PVTON+mD9Sriz1cvaCMnz5zhOExJeS6Mh8bl1TyyxeOE40nefi2GfzkmSOporGpfZRwJMmS6YVsOagjxYpyHDhsfz12NHzM5DBt2jTWrVuHJElMnz6du+++m/nz5/9VT+S/MjSLG0tkEDkygBIcxuxyMLzzL7hnrgV0a8dw0we451xDcrgbQRBJDPdir1uAOa8CTZF1b9tYgGW1XpaVaagWGy8cHOFMl07bNxoEVnja8B8bbzNFLx6iPrsMr9PDSDCOJAoUZDt5ZU8HFzv9+Fw6meer1xYzPDiEiIov0kbvSCFv7WkhmlQIx5LkZ+rezTk+Gz978Qzfv2kD8vafp4hxjinLkFw+gkfeR1OSOCbfPuEa2K1GLEZ9CqaERvAsvo1oy4mU+qnozMCWW8ytDgFFNBORFZ7bcpFlMwpxO8xE4jJvvN3CppVV/O1SMBgE+iw5nGoP0zUcJ55UMZhMVOQ7aeoS6ZNVzDaJPSe6WDS1AKtFR2zlZ9kpz3fTOxRGEg1kZjnZ1qJR5rLjsggERQ+/evFMatDYOxShpdvP56+fRJF7GIsoY0Yh6SpKfTa33cSPdvbztCTisBrxh/04bSY8GX28tquZyeUZGD6iXSeiclOdDJERhsUMrp+Wi3R+M0rbCZzzNhLY8wLfmr+KQSkbs6Tg7dtHZlIj19wPZpCiTgZH9bnM5QodYHatj19UZKFJFkxWO0ZJ5OFNUwGQlDjquc3073oWVBljZhHeqz9P1JyFgIYkiUyu0GWuD5/rx2SSuGl5FR67iebeELKqkuuz0dEf4vjFQTr6gsytz2XO4vsQtvwSOTCgc17m3MqA4uB0SJfqKLKGyR09xto5N6OqGp1DEV7beUmXL7ebCEb0Yee8yXkUZ9oQBGGC3HhH3InP5krruZvKpvHqiRBbjw8gCLBmbilGo0Cm24EgCDgtRgQB4mOua+Fokp1H02cqAN+6bw5TKzMxmyR8Lgunm4eYemMjiqJhNkn84x9134zLu7C+4ShFOQ5++fJFaku8FGQ5dNlsxljVqkbfcJT6Yg9ZWU56BwLMqsulNNdFKJrEZjFgMkoU5dhZphUAArKi8v3HD6bOaTgQJxBJ8OpOvYgSBbhrXR2++hxCURmzScRtNbJ4WgG9w2FEQSDPqXHnmhqeeb8JWdHI8dnJ9umJb/6UPJq7/Gw/0kl+piOVHM60DDOrLsiCqfmYjRLxpDIB2NE1GOaeDXWYTTqyyuu0fGRb7D8THys5PPLIIxw9epSamhpEUeS+++5j8eLFf9UT+a8MSY4wvONZ5KEunQRlNOKcsoyRHc+MzRQEXLPWoSYTjO4aM5SpW4qpoAYhMAiiiGCyIVicDDz/QxR/P5Inh/VXfZrP//kiwUiSyeUZLM47OeHYiebDLG28lZd3d7CgMZ8tB9ppHRt8DwdiPP76aX50Tw3Fg3sRjGb6Slbxgz8dTw0x39jdwopZxUyvycJmMWE0SHzj2U7+/tavEe7vQjBayCm00P/ST7BVTkOQnOQKwyyq97Hr9HgP9r5VxZiyDRjXfZG4ZOePh2TuvvFvUYY6EEQDireI9riTzec76R3xs2yGixyfld+9Mo7yMUgCJmQCmx/D4M2ld+rn+PPbZ1OziJ1H4cEbpjAciPDWFfLXVy8oIxRJUprnIttr47uPfZDq0/ucZu5ZX8+x7gSgUVGopiFQQLdrPNYS4Ol39dbFtOpMbiw0MdwziqyoFGbbuWl5Jc9vvchoSE/CX7ilES2ZpNBXi8NmRBJJwSlBf9DnFGgYt+jw3RxBxL3qPobP7kKTE4SOvI21tAE6DpJZOh8pEsBTVM7Ijmcw55brZEZvrl40XLFYWqtno7YeRtnzIsaMfJwr7mXYVkJnfwhRFCl2JonvfCYFoU0OdhDY/ResV30GRBOaprH3RA9nWoZZOLWAUCRB10CIV3dcomWsJeKym7h1VQ2bD+jX+HzbCNq6SSy49puYIiMIZjt+wcH2Y31sPtCOQRJYPbcUY/lycsa+q3hSYc1UL2vrzTjEBBHVyOYmmVjyMjpNI8NlYXJFBg0VmWiaRutIlJolX8DTupVEz0WsNXM5bahn6+udY6+Bt/e1MqUqk6/9Sp+HLWrM57ZFOYQ7LyAkoyTzpn30MyoK2EwigqgyEoxz5Hw/R87rQIQ71tRO+PtwNMmFDj/nWkcwSCJN7aMpIb7LMXdyHo3lOtwzGJFpah/GaTXRNxxJaX6NBOI8/d453A4zc+pz014/vTabp945l4bOem5LE4IAj79xBqfNyH3XTGbLwXZOjukt3XdNPbuOdXP9sioE9Ge8ozfIomkF9AyGaazKYjQU4+oFZUyuyEAUBZq7/AyMxthxpJNwNMnX75rJh8NslLCYDLhsRiRJpKXbj8/1Vxw48DGTgyRJDA4OsmvXLj796U8TCuk39n/XUIND2ObdCKEBlJFeDL4CIuf3XzFs1ggcfJOs676Uek38zHYSGVm6JIUi41n3IIFXf5IiiSmjfYTe/Ck3ztY9laMJGWNGwYRjm3JKCQX1DF+W72Ln0a603yuqRrdfxZmIoUWCtPX4J0AM95/s5r5rJtPa46e8wMX8KXmcG9Ro7jCRn+2gsvssnvkbCZ3crvMcsktYO7uBkqJsErKK3WKgMNuE8sa3SI6p0N59/VcYfP77qWsQXfIFvvfGhZTE8rm2EW5bXUNG68iYXSVcv6wKh/8iaiyM5MzgXPtI2pBa03QphNuuqsRhs+js12CMrYc6xmCneuU4qy6H/CwHoqAvbIFAmDJrAOQYFtPEAfWHo7Y0gx8/dTglLGc2Sty/sYHbV9ciqypuh5nRkTA/f2m8n7xubjGP3D2d9w51YTZKXDUjD8+2H6QE8tBUAgffxF4zh9DpXSQHOlDn3s1r4QRb3u3DZc/m3jUVNMz1EDn4Gloyht2VSdY1nyN0YgeJ3kvYqucguTIYfk8HbiQHOxl44R/pnvtl/ul1Hd6al2Hj4bn3YNr3h9S5JcsXwXAfsn+QqDODsjw7L2wL0t4XxGKSWL+wPJUYQEfdHL8wSEWBm0tdfkRRoCTXxanuOEMBI247WMyxNA+EF7ZeoDSnkdzQHuTAINVFk6iZZSW45wX83Rcw5ZRy/ewNhDKMqe+yrszHufbhFNS2otCNPKse05L7yLKKdI4o/MtPdkz4ftquONdCRxJ16y8x9urtK8PqAhqrsjh+hQ3m/ddNpmsgzLbDHXicZq6aXZyy5QSds3DZy/ty5Phs+MegxkOjMSaV+SYkh9I8B+c7/QSbBsnNsDHsj/P2Xr119cFp3Yvhqtkl3HpVDaIkkOO1sflAe+o4SVll3YIynFYjw4EY2T4bLV3+1DA9GEnyr88e5Y41k1LJIZFUECVR95BWNXIz7HT0B3nvg/Fi6cu3T095oADUlvjIcFtp7wlgNRswG0SWTCtgxxVrxW2ra/jF88dTTOu6Mh+zJv0fSA6/+93v2LNnD729vdxzzz384he/oK2tjc9+9rN/1ZP5rwrFkUX43d+Q7G8FIHjwDdyzN2Dw5iKPjMM15dF0M5DkUA+WwklochzpQ5aioHsqV2dLPLgqF39MQ8mZhCmnjMSYLIXBnY2teg5ZZ1WmV2dQXeSZgLoAMDtcqBE/gsHM7DyZd3JstPWNHyvDY0WWZY41DTK10sPUfAnP6HnmKpuRQlmYq1cy+OavU22mkS1/wjT/Pl7YqqZc1/IyrHx98iI4+TamvArCp3ZckRwFOiJW4sl0qOabe1r49PVTaOkOYDaKlLhUiCXpnv0FXHYjWvrl0q+ZoqKER6k09JGX7SJ/Wgn9/jgVhR4KsuwEwgl2Hu1KJcnZk3KY7PIjvPvPgEaw6BfMnZzL/lPj38usSTkpZvdlq9YrFUfjSYWDZ3q4cUE+o6MhMrLsfPPRDzmaGSS2H+9leMxAZ+fJAVbPvgfrwSeQbC4Svc3IgUFsVTo8UPIV8u4FjfcO6+cxEozzL8+f4dvXZuAd1OcJ4dO7MLqzkEMjmHLKiHY14XTOQZCMKd8QFBmP5mdWXQ6KonHi4gAnQ9nMsjpRo0FMc25G0uJEn38ENBVZEKlcfA/3Xl3NH95swmU3MRKIMX+Sl0VlEiIKZwYNHG0PUZjl4FKXn5uWVxKMJPjzO2cZHWtfXr+sMkUCvBwHTnVTkXyXRH8b4f3gXXobyTH/8kRfKyOb/0jW9X9DxKQzhbsHw+w5Pi4NcanTz/5TPdzUaCDYNYjFXUpxjpNMj5XKIg+BUJydx7owGsZ9JKZmRpHPXsFjCfRRnFtAeYGb5i4/kysyiCfVNL7B0fP93La6NiWit+VgB/esr+O5zTohM9dnY+PSSvpGImxaWY0oCvicZg6f60uh2jLdZlx2M98fa0d9+bbpfHB6/J6SRIHpNTn88ImDqWSQm2Hj1lU1vLarGZNRpDDbwVt7WzjXOn4NV88twXDF4F7T0j0r8jPt1Jb6eO593Vc802Nh45LKlHjlpFIviqLx3Oam1LNZmufi3g31VBS60YDe4QgNlZkU5ThJyCr5mXb2nOhmxcwiKos8hGNJXt5+aQLk/T8bHys5vPnmmzz//PPcfPPNeL1ennvuOTZt2vTfNjkQ6E8lhtSPjr6Ha+Za/PteGfuJgMGTg2fRTQgIqIqMOa+SyPn9KOFRjCbzBEatZ+FNWNq3Y2v6ANHmJJZ5K77ldyP3XUJTFYyZhQiSgTW5naz2RRgQK9m4tJIn3zmb2h0sbMxHAOI9Y5LLHWf57Iov89Xn9eQgigLr5pfy+9dOk5RVonGZqz0X8V+W4OhrJdZyDO/iTQxfIcZna9nJlLL1HDivVzQ9Q1Gi9nysgGRzIweuNM/REIWJN5pBEslymYhHTeR6LYhRP4+8KhOO6Q/Lw7dOTfONANgwJx/Xe3+PMxlDtDhIuj5LSXYxVknBZtNo641zYUwmGeDA2T5mFuVSazCiyQnskkxjmZs5NV5ae0OU5Tpw2M00dUWoKvLgsps+0nqzbzjKC7t72H+6l9vXSIRjOiS0PN+dUibddWy8132p009FwWRmlzciD3Xjmb8R0ZmBlozhWXAD0ZwpbH96opFNZ8iEVzKAIuNsXM7g27/VPSQu31fhEez1C1NOfhRNZdBWxkigE4Mk8rkbG+joDyE5vKjRIMbSRqLbHyc8/9MMJ014jTJC0/ssXlGDd00GCc1AebEb6ehmtP06wiw/s5QFV32CH44RMuvLM/jty6cYHUuYiqrx/JYL3LGmNi055LlElI7xaxc49Db2SfMJjkGa1WgQNTwC9mJEUeBCe7rBEsChcwOsVE6jntuBIJn47E0/4+n3L/Lc5iYy3BY+c/0UIrEkt6yqQQAyLZ1cyWRxXNqCNeMG3jo0TEGWA4/dxPNbL6QdQ1Y0QtEkJoNIQlbpG47QPxzhoZsaudQVQFM13A4zT793Dn8oMeb8Vsbf31JFd1c/AuDMyuG7T53hfxSzJmWz9VBH2gLbOxTBaTexdl4JoaiMURLTEgPA+wfa2bQynVdzpQS9IAgMjES4dVUtsqIiCHDoXB/XL60gKWtUFLp474P2NKvceFIhEE5wsdNPOJrEWp9Lca4TgyQyEoyT67OyYWEZrT0BXtlxifwsO3evm4Ss/B+YORgMBkym8Um4y+XC8FdWAPyvjCs9nMd/lkA06WYZgsGEd8XdjH7wOsmese2vOxvBYCR0aicA7jnX4Vl4Y8ri05RbTnK0j1iTbiOoRgKo238LN36deF8LgmjAmFPB8Pt/IDmkP8TmZV66BzO4Y43OUjUZRFp6AjjTvAU0MkbP8LfXT2M0LJNTWMhvXjmTat+sn+Ejcezp9M+iJEEycKW2kmb1EOgfx5JneaxYonoVGO88h2vG6jS0UpE0hNNmTDOeuXlZOc5DT1DefBhj4SSCtRvS2kjPbr7IN+6aybsftBNPyFw9t5D8U39CsrsR3dUogx3EFZH3DvbicpjxuSSON6UT2gDO9spMdmeRHOoig2FmhD8gum8zVXY3SlOQ8Jpv88aeZiIxGUGA+69rSIMtAkyryebdMbTLuVZd4yeRVDnbOkxlkYf8LMcEtdeTl4aYbh0i2nqCpH8A1/RVDG/5E6AhVveR7Z1GMJKeiFxmDcYeStFiSysWAJLDPbhmrCXENpAMdFVcx788Ny6Ydq5thL+/ZzruyQ+gxULEVIWzxTfx6ze6Ukn2k2tvY8bh1yk+uxuMFry+uxhpHoceq4OteHo+4Or58znX5kcQBLoGJpIJr/ysboeJ6RlhlLOj4+8TjyD5ClP/F31FtInFXDzdi91qZFpVJm/t60hDvjUU25Hr13LJOZuiLAdPvXuBE2MtlSF/jJ/+5ShfvGUqvx7zXZ5ycwG2K4oqpb+ZhVX9FF8/jfbeEAXZDkzG8Z3G5bBbjSnslc6ByOEfnzhIIqmwZHoh+071pHYJqqrx6s5mpucU4zNEEIBgLJZ23glZZXJ5Bqea9XOdVJaRYqFfGSOBGPtO9iArGk7bROtcVdXQrkCFLWzMRxqTrRfQCyVREFKMbpvZwJdvn8E7+1s5cXGQG5ZWpok3gr4budJ6tLUnwO2ra+kZDLP9SAc//5slvLe/IzUYP3FxkH0ne/j6Xf8HPKTz8vLYvn07giCQSCR47LHHKCiY2E//7xKSNw/xQ20hW81sDJWz6Y5m4cvyYeral0oMALK/Hy0eHX+dwUhioB3vklvR5ASmnDIGXv/5hGMp/n7CY65r1vJpqcQAoO39E8vX/gPbTg5z/KKucbR2ThHZo6e4cgQroJJ/8JfkhEeJFPw4rT9ZlGHW2c/R9KGtIEqkoIyiAXHyas4/oVe+VrOBz143CeOeN5DRRfoS3nKcCzcROvg6osFIlsvIF26exJELQ4wGY0wq9VHpjhLbuQ+AROtxbMNd3DjvEzy9S+8ndQ2E6OgLEo3LGAwilVInw2UL2dNj43xfko0L8gjIBi50tnGp009VkYe68owJlX9NtoR8Un9oDfFgyndCCQ4jls/h6V09KYiipsHeEz3cf10Dz21pIp5QuGZROUOBWEpraTQUZ2g0xrtjjO7Tzbr2/vqF5WnQzfI8J4kz+v8d9QsY3v5U6hqqF/dzx+JFfP/VQIpIVZbnpFDrTv2NaJmojS9anZhyy/GtfRDRl8+jb02svved6qVqXT2JhEIoFOb3Ww6m7b7+8G4zlevqsbIbg801gVsAILcdZ8gzmUF/lFOXhtK8vC9HZaEnVcHPKLNjfu3vSEtldVcRlPUFUJCM9M36DN9/bFzWO8tj4VMbavn1K3oFnp9hZWWFysv7+th5aohNK92pxHA5VFUjHB0vSn6xdZhvrXuY5J6nUIODCFULaJLzaG4d4c09LSSSCtcuruCXL4y79tmtRmqKPXz+5qnEkwp5GXZe2XmRxFj7JsdnY8cRfSdWmO1gJBjDH0rQErHzxzf1e37xtCjXLi5PLaiXOkeZUpVJab6LpvZRPE4z8xryeGN3ujJxeYGb0WCcSFwmN9NOY1Umx68AMkyuyCDPZ+eBjQ0kZRWX3cie493cuLwKNJ3NfWX7at6UPB5/43TK22HbkU5m1GanZhBOm5GBkegEotyOo52sm1fKaChONKby9hXaW6AbDHUNhMhxTXSN+4/Gx0YrffWrX01JaDQ2NvLjH//4r3YS/9URN7rJvPZLhI6+R2KgHVv1bExVc9l11s+v3xlhw1wb60YnPoBKaATR6kSNR5CHu4mc20/knL5TsE+aj8GdTXIwvYIVreMLhhxIr5K1eAT35u9x/TWPsLzOgc2gkmkZZejtP6b+RjCYMOVXEzys6+K4jQrzan3sO6cP2y71xaicfhUjO5/DlFWEEg2BksTgzkaddxeCIuMqm8Qvto5yy1U1KWmCNw50sWHOQ4QGe0mKVrzGPN6+KFJd8xDxpEaZsYgf/vEQHqcZp83E/pM9zK7xckdhPUqnXvkqgUFKHeO9flEUqMsVqTYkEDUVyV3Cv77VRveQLjcQnVvKO/uaaR5LBhc6Rpk5KSeNFDStOpO6rPHd3YfnPoqnkOZT6bOek5cGmVqTyfyGPIwGkYNnelkyfbwCnlGTw4vb0lsVw4EYduv47V+c66QhI4oSHmsbaBooV8g6qDKZh3/PN2//Kud69NZFOCpjzM/FvvwTaHIC1eTA2biC4PEtYxdEwjP3OhSjnWTRbCxmEbs5fUgKYDcLKbJUMCFMYJ6rqkZQNmIF5NAwBm/OhPcwFE/h/DldbjuekHlgYwM/fuoIoajuIX3zVdW8vONiakibdVMjufM/g+vS+wjBfhLlCzgvVjE314Zh1X3I3hJ++kpXWpIaGI1hUKJ8Z70LWYWMWAdKNJODF/Q/CkaTeBzmCTLd5iu8q7sGo/zxmIfqsnsxaDLbz4eYVedgz3E9cTd3+3HYDTx863SOXRjA7TBTU+wlGpVpKPUiihCIyFy8oh3WPxxh3fxSPE4zlzr1uYXTZkqT4Nh5tIv7r5tMZZGbzr4QoigwuTyDZ95rwmYx8MGpHuaOqdDuOtaF02biphVVvLjtAufbRlPv8aVbp+NxmDnXNsK0mmwWNORxoXOU820jZHmtZHkyWDO/jAsdowgwgcmf6baypX98jegZDDOvIY+FjfnsPdGN0aCrsn44bBYjSUUjGEkQS8gTyHUwkXD3n42PlRxycnJ44okniEajKIqCw/E/dg/67xCjUQV3x1mUaABzQRXRS0cwFk/m6W364r3j5ADXrV5Cov9Paa8zZhUTGpOouKy0ejkiTQfxLb+DoS1/TsmAm/MrEa1OrJMWgBxHyq7Qk8sVVb65sAZ13xNkKDKyf4CAwUjODV8h2nICwWRGKmrkrXMKczZ8C0GOo5mtXDO/iFlVHpq6Q+RlOjBklpK59n4iFw5jKarDUlJPQoWvvSciYGbTVQaOnB9IQQEvx23Ly/B57FjNRh59t4UPzvbR73cjKypGp17ZjAbjqd710eYAm5bWI3ZebosImG1WYBSjQeQHd1Rg2fVzlDE7w/AxJ/cu/Az/8Gpk7K9JJYbL8ez753nk3tn4w0lEUceW94gqlTd/j2Q0ginDi+TZgjKWJIw9J5ldtZ7tJ9NloNGENCXTktxAKulIksBHPTc+l4WHbmpEFAVyHALWtx9JVdKanES0OMY9xQEtHqa/Z5C/vK9XglazAY+zivbePCxmAxkjCRYLWmo3KUhGFA0UkwdUSCoaa2fmcuDcUGrhMhlE5tRmcuLSEKFokuJc14R2ntVswCuO3TOKjBIawVozh+gYq13KKkGsXcp0EixsLNDZ9AL86IEZDIxEcNjM2G1Wcn12HDYjRknC47bw7hEjgdBSsl0Gjh+J8OAy8D/3Hf3+nbIef3iidlpUNZDTvQ0tGsLcuIY/njQTjY8CsOtoJ9cvq+JPb51JJZVpNVkYPoRsnFzuRUCkazDErVcV4jYk+OCULmw44o9QU1DKj54+Tlm+m4sdo7T3Brh7bS1tA2FkWSXHZ+Wbn5jFm3vbON82QnmBi3BU5ukr2PqZHgvXLCpPO+7R8wM8cvcsVERQZYYCCerKfWgqCIJGjtfGcEaMjUt0fkQgnEglhsvxxu5m1s4rASAUjnOqZYhnryDT7TvZwy1X1aREA+9cOynt9YLABKTVS9su8vefnMusuhwEQcBuNU6QFFkyvYDHXz+NrGg88+55rl5QxktX7Ho9DjP5mfYJ39d/Jj62ttKVIQgCVquVqqoqbrrpJiRpYo/w/+bIZoTBfboN52W10tH3fs/Xb/4qz+7uo7E6k0tSkqJp60iceA/BYMI483rknFqMs2/EpEaR8iqwVs0iekFHP2hKklh/Gxmr7kUJDSOIBmT/AMnRPph7B4KmETcZ8S2/k2jLcRID7dhr5mDOq2L4/FEitjxMmaN4vE5UiwfD7FvweGy8sbuZp7ee5PJUoSwvxHc2uPF2vc60jALk3hAJQy3+9x9Nfb7QqR04r/tGSsfno1AMLrsJuxGsdi+qprJ4SjbXVcVxdH0ABgvdGaUTXlNd4MIwfCq1gDqmrgCfl6/fkYvVKJDpP4R/ZHzIq0aD5Ax8QFlePS09IfpGwrjsJpKySmmei8HRKAOjUWIJlURSQdU0th7qZEplJr96tQ1/KMHf3JFD3qIHMZ56A3rOopqdXDuvjMqyHELRJJIkku2xsP1IOiS4pSfAl2+dyog/QpZXR0W9uWe8ZZDtsyIKAt1DYVRNo29YYO11X0O5sBdlpBcptxJD1iSUHb9HCQ4jOTwk5nyC4qwyZndDjtfKjNocWnoCnG8bIZ5UWDytkN6StZTKzSgD7ZgKyxAyK0iqemZSZA2HxcB3bq3iRMsoRkmkodzDqZYhntyqcwMcNiNf2DSN37x0giF/DI/TzMM3T0YcOkv3nC9iERWMhiCemdMxT1uPqsgYPLnEsDC9Oo4/nGBKZSbesf54UZ4+R4vLOvxzcnkGgiAQi8ncsqKaIX+MSDzJ+kVGxLe+izxW2Bj7TrF21jSe2jIurigKUFrgI1BwP5qmIphsnOo8nPp9MJLkXOsQD986nY7+EGajSH6mnQOne/G5LKiaRlWhm8aKLOxmCUHIwRTpZeDJb/Kl6gXEp5VhDjajNbXy8C1X09oXxmKSqCz0sPVIJzaLEVXVOH5xkMVTC7jjqipkFeJJma/8fFxXDHQxOkkUU2201p6ALkMhgM9jpbPHz4+fPkI4lqQs3017X5BTl4a4aUU1Jy4OkuW14A8myPRYWDClAJNR5Mj5flx2I/mZDswmA1keK//81OG04w75Y2Ne2D5EESoL3TywsYEn3jxDLKHQ2R/khiWlPLdt/F5cOr2Q13ZeSkmQ5/hsfO2umVzq8hOJyVQVeXjqnXOpdubplmEaKjP5zPVT2H+6h6JsJ1MqMycID/5n42NPlc+cOcPGjRsRRZE33niDjIwM+vr6uHDhAo888shf96z+d0d4CEtpA9aSejQ5iSAZCBzbQq45xvzGPCIxmSd39VFfOp2pq5ajaQK7zwzwidwk5sQoir8fCmtwNi4nOWk1gaiG227AEu5k6J3fpR3KV/YwyZe+haYkMc69BUkJkxzqwejLI3z+ACNFi3m0Pcqp5mFyvNl8+aZaipUAavNuAqLEwoICXvFaMJmMOG1GNs5wEz32BrbSBrRkHEfFDIbe+pWewHIr0KIBkkNdJIe7KM93YzaJnG8bYfG0ghRcVBDge7dVkYwE6ewewm03MjlDobc1QnPOCiRBI1cdZNm0XLYd1atkp83IHQszybCuQK6ahsHpo0fx0B22EIwk8DjNJIZ6Jlxqw0gbed7ptPSEkBWNr91YiWXgLLbuzcTLyojmTydiEjl4uA+jJLF0TH//8nbcYjLy5ccv0VA6l7ryJbQOyqyPxHnm/abUTGFerY91M3LS9P0XNebjtBixm1wEojJoGp+8djLHmwYoyXNRX57BwdM9vHegA4MksH5hGS2JDN7oqENV61gaK+A3L53i2ln3km9X6Y1IvPr6EF+9Q+OhjZNRVY2LPcE0yOXL2y+SvbGBoto5SKVzSSjpSVkUBdr9GppmoSTHhqoKjCh2ntx6DqfNiMNmoncozJaD7Xzu5qkEwglMRgnRaOBb7yYJRfUd2Jy6HO6qdGD36FIRSVVDAnI9FvJ9VpQPHVcQoGs4wpPvnEvh4otznTxwXQMHzvXSNxRh/pR8Jq/5MrE3f4Ts78daXM8s7Tza4lLeOTaK12Fk05JiXtp+iSNN+q7Najbw8G3TeeLNM3T2h6gvz+DaxZWcahnQz0vRMIgii6cV4nFaEEWBSaU+kqpKUhFJKqq+AKlJxMgIRkcOkhLnmHUuv/+DXnQZDSKfvbGR7sEIB8Z690U5TioK3fgcXgwCxLSPVmpNyEqqgp9ckcG0mmyOXRwmkujH5zJzz4Y6NA36hiKsmVuComl8+9H9mE0SiqLy+ZunsnR6EW/tbSGeUFg8tYC5DXl887d7kRUNm8XAratqePb9pjQ4ulES+OYdDSAIBGP6XGHdgjKMksicWh/GC9uouXkyfRGRDI+N0+3BNJvQvuEIA6PRFNkwnlTSeB6gy8P/3T2zmVzuQxJFTEaJjt4QWZX/xTOHS5cu8dRTT6XaSTfddBP33nsvTz/9NOvXr/93H/TVV1/ld7/TF9HFixfzta99jb179/KDH/yAeDzO2rVr+dKXvvS/eJf/eBjcORgcXkZ2/EX/gWggY+XdGJ128rraMLnc5K+u4fXdrby9vx1RgDVziwk2HUQ4qcP87JMXc3rERVg1ke/SODcEPlcNBTVziJz/AMFkxbvkFggO4mxcjqapmFwOBl59DE1JkuhrRmpYzS9evcDFTj/2Mb+ATHUI/+5XiLWdAkHEUbeAf73jKgaPbEMKD+B0rSbpzWVku76XcE5fjVo8k0vO6WxvipPjklg6WcVjTLJqThGyolGSY8dlN3DHbDtKLIzVk0mLX+THfzlJOCbrHsOrKsl1lnCgKaSL11kF1swupLokg2hCpdBnxm0YRPUWIftqSQCDPUFe2n4+xXv45S1TkK15dAu5KJpAvmEUp0WmKpoNkokp5V7cTa+hnHyPBCC0n8LRvI+m8ntT5j/7T/dw/5iJDeiqppoGJ1r8nGiB+6+u5NntbanEALDv3DBLpuaOCZWpLGzMZ3alHSkZQkxEcJlc5Gbaefrdc+RnOvA44zR3jfLWPr0qlhV4YetFJhdaWF+ZxKjGsVsimIwiTQOQNHpoG9QH7SajqKvHCsIEhzOA9z5ooyDTzsUuPyU5Tgqz7JgkgYSiYRJFBFEiFk0QF5wggRBJ8PC6XCpMQxi1IEFLPieCHr7z6H40TTf/UTXSFp8PzvSxaFoB3QNhYgmZqVVZeJ1meocjjIYSZPtsZLvNmC/7FhslDp7pTSUG0FnmQmiAlXmjGHJVhqIddIfyqFzzAHKgH4MjA/X8fua3bWbOtHmIcoTTg/ZUYgCIxmXe+6CN9QvLMRt1/aW/vHeeE5fG/+a+a+p5/I0zqTaaQRL527tn8dO3jjEwEmXlzCIWbvwxz+/q4OS2ADVFU1k4LQuLqZ9YQsHnMhOMJFKJAaCjL8ixpgEml3h1mKrVwLr5ZWloI5fdhMVkYMPCchRNY++JbpraRjjTOkRnX4i7r55E71CEP715BlWD+VPySCQV7lo3iXA0idEgYTYZeHXnpdQMaNuRTqxWI26HWd9xxWRe3HqRZTOKUnLxlQVOGp1DJPa/AYi4K2cgR6O8dFhf/EeCxayYsYyeriCBaJKsTBMfXMHhAd2Br7krwC9fOIGqajRUZPDJayfz6Kvj6gTLZhQRCCeIxRWMRrjQMULN/wmzH7/fnzZnsFgshEIhBEHAaJwI7/qfRTQa5fvf/z7vvPMOLpeLW2+9la1bt/Ld736XP//5z+Tl5fHAAw+wY8cOlixZ8u/7NB8ztESE0KldWEomY3BnEes4x+i+l8nOLaPcnUByyLzSNMzJsZtc1eCtfe3UrK2nVHwPVJmAtYgSyU982y9RRvuo9uZhXvYpEjNvJ1yxDouoEjr/No6GZTCgbyEjFw+n8Q9ihbPJ7h3l05ty8UpRcGUjtOzXEwOAphI6vQtTXgX0nCYx2o9aUkfg4FupzxLvPMfJsk/w+7fHH4xdZwz84yca+M2fdWOSumInX12oENj2J32XNHkdv9rvTvU0VVXj5Z2tfPn2GZTmi0iiSHm+kyfebeLMFbju25YVscETxNh/Ghw+OjtJDZLNJgMdhlJ+uS/EoF8fQFvNBr551wxG+wYwmyS8QhDlVLqkuRocpMJ2BftV1WjvDZLttdI/EsXjMJDltaZc3VwOM5d6PuSRAQwFk1y/rAI0ga4+P9ZAB/7XHkMJjWDIKWfWonvprvdSnQlOn4Nnd+vtr4IsB7KiMqfcStaZZ5Gb9TaBYDTz09u+xk+2BHllxyWqij383T0zCUcTPPl+B1keK/XlGbx/oD1NotvrsvCXzU2pwe/X75rJxc5Rdh7tojTPxep5pTz26snUTOE3DzbgGB4i1nEWOTiMNP0Wnn6xKdWzL8t38/6BdN8Mq1mXT0/IKoqqD4K7h8L88Y0zYwuqhfuuqWdSkVsXLxQFWq9QAQX45Mo8hHiY1y5IdPth+SQr9cke+l8bd/9zzbwagzsL5eSbCK5MurIn+gX0DIYJRxO8tK2NOfW51Jb5UsmhstDD6eahtMGwrKjsP91DIqn7YseSCm8dGWJSRS7lxVmYDCKnm4dZPbeELQc7MEpiSoTyyghGEgwGEwQjCTJcFrK9Fm5cXsXJS4PkZdiZXa/374ORBIIg8KlrJ9PRF2DIH6N7MIzZZOCZd8+nUEE2s5HpNdn86oXjqZ/5XBY2Lq3kuc3jM4Wj5/upL89I7cJHQ3EmlXlp6vBSke/m1kaNoee/n4LqBo9v5f6Nf8OMohzMQgJbpoOD5wZ5Yas+L3DZTVy7uCJl/iMKUFbg5qkrZL5PXhqiIMvB3esmcb59lMaqTExGMeVLDbrAX2WhZ8J1+s/Ex0oOjY2NfOUrX+HGG29E0zReeuklpkyZwo4dO7Ba/32m1oqioKoq0WgUm82GLMs4HA5KSkooKtLF0zZs2MA777zzvy05KNEQGVfdQ7jpINGW41jLGjE4M5ADw7p9JGb2nglMeN3ZXpX62rmAAEaB6Ks/Sw0slZEeYu/8jPNTHuIXb3UiigI3zVvCclmEttMIkoSmqlgKazBmFJAc6sJhNfLAPBNyywdEW09izCzGMWkugtmW0uUHSPS1oM28hWg4itescKXaZjx/Ks/vSu+3R+MyLQNxCrLsGCSRO+Y40YZO4p61DiXsZyS3joHRi2mv2bSyhh8+cTBFxvG5LHx6YwNnWseFx17b38uiwiSJt38FwKzG9SQXN5BrS2Kw2jnTHmDQH087j9f3tTMwGuVSp5+6jFyqBYEPW1ZppE+LRVGgsSqL4UCMZH87D19bzl/29HG2ZZi2gTizajLYcTwdxZTjs/OHp46jqBpfWZdD6OwehqfcRTApkWWK42vaxbL6BfT0jSIl/KybW0jNMjti2wEEgwlrYQ0jr4/3j7VknOiuJ6nIvgmrOZvB0SitvSH+/Pb4Q+uwGrlpRVWKuWuQBFbOKqazP8jkikycNiMHTvWS6bWxdn4Zmqrx6o6LrJtfxr5TPSiKhlMZYWj7UynBw5GCPuwWIzfN8ZJhjJGRKxGK5vLeB+MIlxuXV/GL54+ndhOiKHDv+voUtHM4EOOJN8/wt3fPwmUxoMgqMydlpxHgSvM9fPeZplRiO9Mywh1L8pjnykqh6gKH3sR7/TdIug6gWNxMzs1DMdrxOHQkkDomKf/G7hZGgnFe393C5IoMZk3K4eDZPrwuE9G4zLyGPEryXAhAU/sIsYSCY0yZtTTPRc9QOM0ZbfnMIqZWZyErGlazgepiD1sOtKdMoioK3FQWevnGr3ajarpcyu1ratl9rJOcDAdtvQHmTs7j588dTRVALruJL26aSmWRB0kQkYR0JrMo6jpQV47nLsvkX+ljkuuzMTg67hPicZjJcFtZNbuE0jwn0cN/TOe6qDKJiweZHA8TObcPyZPD5Kmf4CVBLzoD4QQt3X7u21DPux+0UZBlJ/IhxQSAo00DTKnMpHsgxNULSlPCg5djYCTKUCBGUYZtwmv/o/GxksN3v/tdfvWrX/GDH/wASZJYtmwZ999/P1u2bOG73/3uv+uADoeDL3zhC6xduxar1cqsWbPo7+8nKysr9TfZ2dn09X2EFsNfKQzuTPqefwwtoX/JoRPbsNXMId7fRvTCQQzZ5dQX3zzBCa6sNJvD8eUMBuKsCg6lIVlAJ745Vf01qqrx7J4+JpXXkycIqIk4tqoZqLEIprxKkkNdeMwygSPvE23VjTuU4DCJ7ibcM9Ywuvel1PsqmRV8860I/lCCL19TTOmV4m6alqa7fzlEAb5VfxFNjmPzLCA5GCNw8E398ytmaorLmFar6+q7HSYGRiJpLM3hQIwLnaPcsrQIJRFn57kgLpuJqNHD6JwHcREm22thuizTE9BwSjL+0ESGZjSusGJmETNqcxjWVMS6lain3k39XnJl0Ry2wxhv1us0M70mmy0H2xgNxelV8qnSIlw9r5h5DXlkuS00lLnpGY7R1OHHIIncvLycqDyOAMlyGHinZx7vvKFXsC67iXuvvop/+/OJ1MO/cqZGmbAT4dJeACy2iQ+VMtjBtKlOjm/vZfXckpQnweUIRZM4LAY2XVWNMtaD3nygDZNRYv+pXu6+ehLTarMZGI3SPRDC67SwZl4pINDRH8QgibQlPDgtrlRy8EkRHlnjxrjnF2jxCILJws0rP81IIJuDZ/vxOMzEk0pam0lVNQ6c6eWhm6fSOxTBbJTYebSTUDSJy2JAllXqyzOYPyWPvSd6EAXoC6gTHNhe+mCAmYuWIhx+PvWzQFRht3kpoihSabZw+lJzqv9ttxp58IYpvLRtvNA4dWlIt4E920dS0VJcksu9/+k12SyeWsDTY//P9dlS5laXY+uhDvIy7CkAgcdp5lPXNaS4D8tmFPLoa+OviScVXth6gSXTC3l9VzPLphdy4ExPGtrHbTchq7qm1MBIlMXTCvn8zVNT1XdxjpOj5ycSMmVFxWjQk4PVbGD13BJ+PDaEtpoN3LC8kpOXBnny7XNct6SCNfGJBFs5HsNg0otoZbSPjKZXmF+3ht1jQpi7j3czuy6H0jwX8YRMQdZENGhVkYfRYIz2viBJWf1Io62/LpD1YyaHb33rW/zoRz/i4YcfTvv5unXr/t0HPHfuHC+++CLbtm3D6XTyla98hdbW1jSMrqZp/27MbkbGx4fXyoGhVGK4HJHzB/AsvIHohYPI/c0srQ1xyGNlYKxKmFTiYSiQ4LktrQAUO7Mp/pB8BqJElPSBUJ8/iXesTRTvOo9v5T3YqqZjdGciiGIqMVwONR7RSW1jYSqoYf9wBv6Qnix/9W43/7Tp8xgOPInc34p5tIVNy+bx61fHKy+71UiB0kXYnIVmNSDveBrH/BvgxDbQVKTmvWxctIx/efZk6iZbN780jTEK4A9GuZ73kHsusHjOWtq9s/nbJ08SSyhYTBIP3lDNU5ub6BuOIgpw74b6tM+Sn6l72/7p7bOEo7rU+OSrl5OZXYLafAA1owx75TQKe6MsrM/AYhRYMq2Qf/jToVRV9+tOP5uuqmbLwTMMjrny3ba6hmuXVGA1igiiwLnWES5d0TYJmHy8c3RcEXfxtAIef+tcWlW4+VA389fPImMsOVx5zS+HVDaT0z0JWnsCtHQHPtr5LhHjtZ3NJGUNWVGZUplJQtYX7pIcByebh3l5u55UxDE2929eHj+3Pce7+ftr78S9418A8Ahh/LufS92fWiJG5L1f8YmN32HGpBwcNhPnPyThAHoFeuB0L0fO9ZOQVe5cW0uWx0pWlhOAoXASkyRyy1VjUg/SxEffIImgXVFNW50c6dF4dusFzCaJaxeXpw1Gw9EkO452UVXkSUmgGCSB8gI3m1ZWk+O1cqEjXR31yPl+GqsyCY7Zw6rJWFrb6XJcyWYeDcZJyir3bqgnKatpLnhXfn6bWf9MGhr9w+mL9G1ravnRnw+l3vfVnZdYNaeY5TMK2Xq4E38wzsKp+anvCvRBfm2JF6vZgKJqlOQ6eXn7RW5YVoUGKIrKjiOdVIy1c4LhOPHyRdCcjmBKlMxFO/FK6v9q9zkmz7iW3WP5zW7Vocu7j3dTXeTBYpaou0I40Os0M7Uqi9FwnINn+/EH46yaW8JbV6Dv7BYD2T5b6vv+a8THSg5nz579Dy3YHxW7d+9m3rx5ZGToapvXX389jz32WBocdmBggOzsf5/C4NBQ6CNvsg9HVpbzIzOsYDSjyePVmGXPb/jepu/Q3tGPJGjgyed7V2izvHo8whdm3oB6cLzKkmZv4pXD6buJDxtwRJoOYKuZQ+TiYcxl03SpZzmdKGPw5OJdficCAq32ev7wxHiVFI3L/O0LPTyw7n6igVFsLjc9fVHuXDuJc23D+FwWlk5ycqZjhGd26sPltTNuYuXwCPbGFYSPvY9ctYTfvnYubbF7a28rt6+pTUsO07KTxPcdAU0lgYV/e+FkSlc+llD45YunuHZRBc9taULV4PD5fu5dX0dLxyCSqDG9vpgfPzUuA9A9GOY3b7cxf0oxxwatZCZN3Bl+l8xze7k9pxQtInN6+P607T7AW3taWDytMFVJWs0G/vTmWfrG5hDr5hSwakYuZXnTkBWV+IfWcJvFOIGMBBBMSlzWfI1cOIxnyW34976Elowh5tfSmrMUOajflwdO97JiVlHKQxp0jkJRholYQrcnFUWB2XW5/OF1vRgwG8U07kVNiY/9p9OHj4qqcaBTYK0nZ4zwp00oXDQ5QXd7J795W1+YP5yEAZZNz2eSsZtNBTFC5izev9TP9Nps2nv8WE0SO492sf0KVc+71k3CZTeleXhvWl6OpfcYccCYU0546ib+8rJelLhsJob98Q8flu6BECW5rlRyWD23lDf3tJDrEIhG45zv/Ij2bOswt6+pJRhJkO0QyfVZ6R0e/8wuu4nEh7wJwrEk/UMRBFEg021BHGvLXA6fy0JJnotNK6sxmyRqSnycvuJeHvany2cAbD3UyXfun8uMSTlE47p20jWLytlzohunzcTymUX4Q4lU/z/LY+XOtZP4w+unGQ3Fyc+yc/WCMv70pl6Y9Y9GGRQzcC1+CFvzVgRBIFS+gohix9vXmjquMaeMiKavC6V5TjYurSTTbeWWq6rxOIy09ATIcFu5bXUNqqoRjSu8ubeFL2yaSnm+G6/TTFJRuW11DftP9ZKfaWfxtAIC4TgDA+ndjv9ZiKLwPy2qP1ZyyM7O5uqrr6axsRG7fZxo8c1vfvNjn8jlqK2t5Z//+Z+JRCJYrVa2bt1KY2Mjr7/+Om1tbRQWFvLGG2/8b7UhlZwZaWqpAK6Zawif2Tv+R4qMw99Mzv7HQJQ4M+0rae9xsTvE0+58PnXTt0mMDiK5MumS3QyHxhfyBVPyEdX0rbtgtCDkVGKek4lssuGZv5GRnc+mfm8urEF1ZDLU0YEmGRk2THR3Ksi0c7Y7xlt7e7l2sZ13PuhAllVK8lyEI0mGCow8vnl8IXj9QD/ZVxUx36EP9qLmjDQV08thtxgxmyRMBpHbVpSR3/VKamcUwE48kX7jxRNK2l42FIywwDfIzNbXIBbDkLia+bUedl+h39PRH0IDzreP4K7JgIC+IF7+LjRx4uc1GaVUImuoyOTwuf5UYgB464MuZtZk0VCqozVGh4fSiEZd/SEqCt1c6hwn4ImiQLZp/D3iXU346zZyafLnsBlVjnaqBM4nUFT9Oo2G4nQPhnnw+slsPdRJplNibb2NfLfIfRvqiScUKos8/Pql8daVqiipOcDlY35UAaMaLDhnXU2i6wLGwjoE4xtpXuWIBkKajcu+xNuPdPL5m6fy2q5monGZ9QtKmSKfgJ06gs0F3L7gVt494uHNfW0UZjlYO780zW722c1N3H9dA519QfpHIlQVeekZjnDAtx6zdwUFhTn828vnUzIlQ/4ok8p8bD6YLj44ryEPj8OMw2akutiLTfZzlbkZY9sHiPZazOVLUgq6l6Oy0ENnf5C+4SiZdh9fWpfHk7uHONXmp6rAyY0ravjpX46Nf3wB6ktczJ6Ujabq/tGfu3kqv3lZL1bcDhOfu3kqL227wMlLuibY52+eyqaV1by2qxlRAIt54lLntBkZDcb55ycPk+mxcO+GeiaVenHYjGM7IBfRuMzK2cVEYkmmV2dTmOPg+w/MIxJP4rSZeGXXpVQxc7ZlmLvnOjkx6uCCvBYBjdqwjdnuXuJj64BocSDMvYPzB+PcvKKa7qEQJy8OMWNSNn95vwm7xcgXb53GS9sOpLHTP3nNZJ548yxnWoaZVpPFkumFvLrjEoumFdA1EOJ3r5zkwRsaJ3zG/0x8bCe4adM+2pTj3xsLFy7kzJkzXH/99RiNRhoaGvjc5z7HggUL+NznPkc8HmfJkiWsWbPmr3K8jwyjEdf0VSiRAEo0hMHpxZhZTOCQLlGBIOJZciux/jGUiKpSlm2ZwGwsL/DyrZf76ewPMXeynUB4lBWzijAbJSRR5FTzEELkygdDIF61Aou7GMlZBHKYxGgf3qW36bpBY+zps+1+frbHDcCDN+hOYKfGNGusZgMrZhVTkmWmrthJpsPAyGgmO0/00dzlpzDbwdHWiRau288GmLcsD3HmjfhysinIGqFrYBwFIgjgskp8/xNT0TQVb7SD8J5xmWuXEEmpYl6OK9UnAe6ZbSb0xrisSnLzr7luwac4eFFKPUBuh4no2IJzstWPvHYJdF+uxgV8TgNuhymt0l8zr5TXdurb/dI814QFCnRZ49xsD5oGOV4LX722iN9s7mMkGGdgOMxtq2p5+r1zXOr043GYufvqWjyWQbSSKWiSCXPDKs72mfnD9mZkRaM4286NK6r5yTNHU8eIxWXKfAKfXWgmqWoMJwVigWHm19UgCPouYO28Up565ywWs5F9p/tY1JjPzjH117Otw9yzvi4NAisKMH9KAWpGFcbKpQSTMtqCexF2PaoLKIoGWHAPz+0er8Cbu/wMjEQpzLZjkCRm+IIkX08XX4x/8CK5jV8gnlC41OXnty+f5KYVVSkWcTyhEIwk2HeqB4vJkKrmL8Mnp9XILJtRxLNjSB23w0w4mmDDonLe299GUlaYMzkPk1GkPN+N22GmONOCePAVlHM7kQFGepi9oIIjYz4ToPsOJGU1hdbZdayL791Zy8NXuQlFrDjcLkKdR7h1QQ5vHw/gsUvcNNOFVUhwti1KLK5QXexhaoWPf3pwAaFIEq/ThM0k8bkbGwlGkphNOtx4NBTn4VunoSHgshspyHKkCRLeOkaQu2NtLQ6LkTyvDbfNyKQiD6DPclRBwOO0oGkaLqsR09h8zzrWhrx6Xhluu4XtRzopynZg9Gaz0tTGTM8oaODJNCJlTcWZ+320eIS4JYM3TwRZMCWD0WCcGZk59I9EUuJ7BoNA92CIL2yaxpt7WwhHkqyZV8rFrtEUj2f/KZ2bcsvqGvad6CHDY+Wq2SVEYhMH2f+ZEDTtw1YyHy8ikQi2jxji/Z+Kf09bKdR0GNFkInxmL8nhbqxljVhKp6CGR5DDo0gWB6LFTqjlFGJWGQgCSvd5eguX8fz2NgYDCdbOyqW6wM4/PH2WQDiBz2Xmczc18qMnj6QGfXPqc9k404ulfS+CnCCYORljXgVGg5FwLEmWTSHxl6+iJWIYMwqQA4NoyRjBuffzzbf0Cu/OtZNo6w1QlO1EUVVMRhG33cxzm5voG4mS67Py6WtqeG5HO2dahvE4TKybX5Ya+F2OFTOLqMyzEgmGMNhdVBX7+OlfjjIwEsVqNvDAtXVMM7USO7kFwWgmPv0W2Pwz1DHbS9GVRcusr/Dzl8+O2aCKfPbaWjqG4gQiSSwmkQ2Ww0SPvJl2XFN+FX+U1/PBOb2av39jA8mkQiCiSzA3FpkxtR9APPUWgsGIf+nXONun4A8l8IfjlOW7Kcl18vgbp+noC7F0eiGhaAIBvbctKyq7j3dz26pqHnv9DPGkwnWLylnZ4CYx0k9INWJ1uPibR48zozaHwhznmDVlJw9vKCbLYwFNw3DyVVwz1tHdP0osLpPls6O4izjVEeFc2xDVxT6MEvz8+fQZ0d/d2UhBjhdVA7tJIhRP0tQZoHsgRFWRh+IMI4nhHpLDfQhWJ7bcEnpCAu/sb8NkEFk9p4SCDFtaqzMQTTLa3YYWHsHmzaQz4eDnz4/PKcwmiZtXVKcQPv+4wYF9z68m3Otts7/MT94ZH7J+Yn0dj79xBkGAxdMKuX5xOdG4TCQuk+Wxoqgamw+2c+hcPw0VmayeU8zBs/3sOdFNjs9GTbGXbUc6md+QhySJHL8wkLI8zcp0EOxuY+CPX/mQMq2AddP36ZU9CIJeXH370f1p5+mym/inB+djMxnQ4gFCz/4dmqahlc5EjAUJ58/kHzYnUvBfURT4+3vnUJT5P15/RsIJvv/EodRO6b5r6slwWxnyxwiE4xTnOpFEgbpiN7GkhlnSeRr/qxAEiCTU1M7BJArEZJXBQBy72YDXrtugGoUkIJBQ0+tvBfjtq6c5dHYccFOe5+TzyxwMjoYxGwQi3mr++clDTKvJxmo2UJLrSkNzXY5brqpm74keRkNxXUzzxikU+j7+mvxXaStt3ryZf/u3fyMSiaBpGqqqMjo6ytGjR//XL/6/MCSbg8DhdzFl5CHZnIBG+Nxe5OAIkdO6JLe25NO81FnBrrd6kUSBjQumsDzUzKdW5JFUJayRHtxGmR/fPxU1HkI02XBYBH74mfn0DYewmo0U2BJ0hQQSlauQBF3fp7nLz2NvnEdWVDxOM1++9ptE/H7O9Svkl0mUa+1YXD5EsQdN0yjKdrD3ZHcKV33Dskpe3HYpRQLrHY7yL8+d5uFbp3G+fRRR1HcaWQfbU9yAbK+VTVONxA8+izDcjloyi5GRhXznk3MIhBPYLUZ8wycYfO2XmHJK0aJBguE4iVmfwRXrxChHCVhyKcp18Te3NNAfSJLtMpLrtdIXHObwkS4y3BamL1lEpudwKqEAiBYn18yoZEZ9AdleG+/ub2XfFaSflywGvnHXEuxlc1E1sBgtZCViHD7XT1JWsJoMNFRk8Mg9swnFktgtBgKhGI+/dZ5nNzdhNkncsKyS9r5Qqn/+7JYLOOz1nG1Ncqa5j2sXl7NgSgFbD3fASZ3F7bQZka1e3jg+gKpplOdey+jZBJLgJNtl5E9b+rhpuczMqgzm1GYSSSh85ee7qS72MrUqi3Asya5jXXQOJXjinYMkZJVbrqphy8F2Tl8xgL1tRRnzO/6IMKjvdow1s6mbt4nKjQ2ANoHNDOCyGnFUVBJPqmRn2LENhnjwhinsPdmDx2Fm2YwCjOF+ljdmEopp+LJdJD+kMmwoqONQZ3qPPctr5f7rGhBFKM52YjdLOC3pS8CNSyq4ZmE5RoOApmisnFnInPocDJJIPKHw8o5LqbmLIMAjn5hNvz/GxZ4AlR4BwWhKIa/00LAk/JTk6kKIxz6k2gq6W5qq6gNeg8WBqXI20ePvw5mtqGYbZx3LCEbG7xlV1Xhh20W+dHNjyjxE1aBnJEr3YJgsj4XjFwdTiQEgHJN57LVDuB0mfC4LL269gMko8S+fW4TdLP0PC0tZha6hMElFN9npHQrz8+eP4w8lKMpx8MB1DfzkmaMMB2JIosBdaycxf3IOmmC84j00+v0xwrEkXpeFinwXhdkOLnaOUpLrwucy4/QKOAgj2V3s6Y9w+5pJvLe/jXAsydTqrAnnZZBEqoo89AxF8LnMGA0Sg6PRf1dy+F/Fx0oOP/rRj/jiF7/IM888w6c+9Sk2b96cNnv47xZKJICWiIwzpBHwLr0NW9VMxJxK1KF2doZyqS9UuW9uOYog8PrxKK1CEZWRHqzJMCFzDhFZJLH5n1EG25Cyy4ktuQv3UCvWthMIkgFT4yoQc9l5tJtYUmHFzGJ+ewWqaDQY59fvdFJfnsGJi4MEwgmKsjJ58Poyvn5XAYIgYDEIVBd7mVufh6KqZHttaexg0DVttGSMVZ5mMNs5PmhkwZR8rGYDGrCkXCL2yncQLXYM3lwSF/eQERkmkfVJmrvDNJTYCLScYmDRV9l+MYHFLLBMVRFd2WzpUBgKxFgxq4jn373IsbGtbW6GjZmTclISx8OBGN972s93r7kF586fjV1WEUPjWv7+0QMpXZhNK6u5ONYWASjMMFOUuETy/G4EyYhYs4ifbh6mtMCL227mxIV+JpX5CIVjeK0CimTiaNNgCskRTyg8/e75CQJnWw91kOW1MRqK88RbZ7lvQz13ZtWy45iOrlk2vZBjFwY5dK5PNzHy2igt8PD8lgsM+qPMnZzHxU4/Jdl6ZWUyiNx1dR3HmgZ4YWsTDpuJDQvLmVpiZblXABUuGbW0xADw8u4OZt50F5HhfixqhPjZt7EHehEtbtAEFCRMahhGOtASUSRPHnFbDqImYDWKWMwG7CaJ2TWZTK/OQkBARMFsMXJXaRfICYymyWg3fIPg7md1BFvVLJI1q9j1+/F7raEig5FAnGA0iQC81tTC2rkladV3MCaz41g3h8720ViVyfIZRViMIqFIErNRItNl5h8+NYuTl4YIR5NMrc6mtT/M78d8xfMybfzDopsI7fhz6j3FjCKGDVm89OZZDAaR5TOLsJikNNj0dUsqsJtFVBWSMnRlziOrsBul8zSS2U5InTiH8ofiqJqGiM5WP9kyxL8+ewzQpTI+vNgLqdclUi1LSRIZDsZ554M+yvNdVBW6sV2hIBuKK/z+9dOcHGsD+lwW7ru2PvX6kjwXj752muFAjP8fd28ZIMd9pvv+qpqZh5lHGs2IWRZaFtuWSWaGOA7zJrtOsvFmk2w2zBwzsy3Lki1bFvMIRhqNNMzU04xV90O1eqY1Pjk+iU/u3ft+mmmoqi74v/S8z6NVK3Qgf3r9NLWlTi6iy016NS+8d4G3D4zT5T90XQO/f/kkuW4Texp7GPVHiV9exVNv+zDpQ1y11MgLO8+zYFouRp2aU+eHmTs1J2NKfN3CEqJxiYp8G8GIkgnfe+W0SefpH7GP5BwMBgPr1q2jqakJnU7HN7/5TdavX89XvvKVj/Vg/mmWiBFqnjhEIjN24FU8BTVE+jsQ3UWsL9YSPLYN7/O7ENQarpyzHo1nBrGzZ0FUY7fESHR1kRxS+hLJgQuE3vwJpg1fhAtHEE1WOhNOHv7TQexmHWqVQN6HwMx6hoI8dHUNq4tDiIYchgU72w51s21/Oxq1iquXllJdZOePr57GpNewdFbBpMamShQwDTfj3/tHNK58Tpq2sOPYIGqViCjACo8D04IrSfiGiY/0Ypu9hmRwDBEfZqMeX1gm5FnCU3uHmVWTTVKSuBDUcb65mzy3CbNRSyiSTDsGgFk12ew83JXxWyRJpj2ZzZTZWxCSUcYs5XSH3SyqlxjxRbjQPcYruy6wYXEpz+44hygKfG65ibFXJtC/n9nL/Zd9jn9/pQ+jXs2i+jwqLGGEvvcQmhpJzLmJX5+aDOUMReIZPSG3zcDohMjxmR3N/Otd8yjMseCy6VOL/DiN9+Nbz/DgNfWsW1TKWCCKLCvqY4FYgvYePzkuEx19fvamMg9fMMbjb52h6toCxHeUkk504ZcyjkmtErh5TQ0/3NpK91AEg07LV656CHtkgMBL/4Gg0mCdt4lQyxGCjeM03+YbHuF80ET3YIB8j59Ct4lYUqJvJIReqybHoUc2FaCqK0IQwBeO8pNnjmMzrqS0TMuhlhDLrDLfuHMe7f0+XFY9Oq2K53a00NLlBZTG/oA3RDyZpHc4RE2Rnd+/ejrdPO7o91OQpUA3+1K0G2vmF7GxcJQpNiuSQ4064ed3L40j+Lz+GG2meoxLHsLobSVudOOzlDIyIvD+MSXzPdzUx7/cMZftBzvoHgiwak4hDRVuogmZUDSJWi3yk629TCu6nDlz1xBJijhN1knXe/X8IsKxJNFYEq1WlRbTAWjtHuOKBSUZENpkUp5EJ37lZWX8+OmjDI8p98msmizu2zQVTWplP9MxyoUuL6vmFmHQqjlwuo+m1hE+eW09vmCcXLeJN0bO8u1NTizRPuJaK4PGMo42D6QHO3OcxrRjAAVt+MyOZlbMKuT5FKuqTqviIjVUMJKgssjOVcvKkSWZRFLGadNTkGWiusiegpGrCUXiHGse4OT5YSKxJJuXV2D7EKrvf8Q+knPQ6XTEYjGKiopoampi3rx5Hzt3+D/TpMTkxo0U8hHvOUfi1HZ0RXVEk34CjTsBkGNJ/Ee24cmvQooESPiGMTmy0BRPIXz+SJq+OxkYRQoMkwiMIMWjHFX5uX1dLT1DQRJJiZLcyc7B4zBgan0P8fQ2pHiU4gU38GKnlURSJpFM8MS2c3zt5gb+Y1kEVXKUgM2KZnUVj24d7yncvrIAY/OjSKljqCjVMGN9DrlyH4KUwGqzMHL0FeJ9SlM30n4Sc91lCILIk2+dpTTPzMo5JRRmx3j+3XNo1CKf3TIzHd0DyJdEYqFIHItJO0n/OhiT+Mb7RlQqM6HIEN+6zsgW1wmEZAvBpbPY78umutjJ9auqyHfpEU7/5ZILkSQ3cJZPX7OYwdEw82qcSG/9N4nBNgDElt2UZM/mdHsmRNJs1KQdg06rYsmMfPpHQsyozkKnEXFYdHzrD/sJhuNcMa+Itr7JkL/TrSP0DQc50z6KShT41HX1XOjxsedYF6UFDt4/2jXpOx2jSewpmVCPw5hBt71gWh7b97fTnWo2xhMSpnA/3sbtREovUzSi33sKW8NyLkIDhJwqXjo4zKsHxhfdL948i7+8fjo9c7NidgHXLinGgVcp88bUnOv2k5Rk9qdui7a+s3zrzpk8+kYTs6qzyEuVMS7aifND1Fe6ee2DVtr7/Gy5vIrW7jFWzC7EbTOgUYscax6gfzREQZaZYDhOIJLg9W4XW1OTxPUVbq5bWcmzOxQnu2R6Pr9+vYUhbxiHJZ9AKEYscYHP3DAOZhkLxjnVOszmpeWEYwlcFh2j/hg7DnVhMWkQBYFF9bm8vruNXSngX0lumC/cNJN3DnUiyTLTK7MoyrZyun2UIW+YfI+ZBzc38P3HDhGJJQlGEgRCMS6fW8SOQ52KrkIwypdumcWhM/30j4SYVZNN72Ag7RhAkQXtGQnT2e/DadETiiTYvLySrfvaCEUSrJhVSHWxnR89eZSkJHPl0jLunxlBev8XABj0JlTLvkVL5zAHm/oRBLjtkowWoL3Xz90bp/L8zhZcNoX2o7XHx5bLq9Bp1SQSMm/uaUtT5atEgS/fOpuxYIymCyPMqs2iOMfKwGiIsoIELquBQCjGmD+KXf+RlvSPZB9pSytWrOC+++7je9/7HjfccAOHDx/G4XB8bAfxzza11TVJ/1mXV4mgVTyvdfYaxj54NuM7trkbGHjxv9MQw0jHKRzLb8Fcv4Kx3c8pHyqexXkpn32G68hxmqgtcfPDJ46kF9DuwQA3rKrimR0Kd45Bp+bBNYUMhm2cLysn2wxFwQvcuLCMU8N5SLLMvpN9HG0ZpiYnRny0hxyLmfwqCyuy3SSDY6hMdtQGgS7zNfhUNsRkjAVZGvyv/CBdg+4/rMa1/BaG+8YHfAKnPkBXuYLe4SDBSJxslyXNDCnFk4iiwIg/kiYzWzO/mNoSB02pAay9J3q5fd0UfvPSeKM0y2Egmno4Ae5cnoN178+JpZynuusMS6euoE8q4pntzWxYWEjV5LkywrE4f912gYHRMAvyk8RTjgFAunCAm5Yt5ZG+ULrxP7PSyTR7kM+vyyEhQVGek22nhtLqWqIocOf6KahVSkBzvttHlnMy7YvLpqckz0pDpYdhXwR1eJhp8nnqtEeIudbQ6DJOkgm1TZAJHR0NcMOqao42D9DR72dGlYddx8YhxVNL7GgEP68bruStrUOoRJGr5m5heXIkTakSLLmM114fb1ZOLXOx41BH2jGAgs9fUGVF3fIMciyKtXI237qhmG88OX6eEkkZQZaQZaXmfan2MSgR9sUgL8dp4q5NU3l1VyvvDHaS7TRy27paqkuctHR6sZq0lORa+eXz4w35xpYhsp1Gsp1G+kdC2C26dEAxsd7fNzKOiqsrd6ESBb74s10kkjIFWWbuvbKO3qEA7xweoSzfzjXLK/AFYnzQ2INeq2ZRQx4VxjHKi89BNIghbx7PHh/jjf3j53bzsgpuXVebLnG9c6iLh++eS22JU0HimXX86bVTDI9FsJl17D95nKuXVeCw6Bj1R1GrRNYsKObf/7APSVZQZJ+7cSY/fOJIeh+vfnABg76STUvK0GhUlDjVsO/59Pva/BrO94c5mGo2yzKTFN0A6spc2HUS378uC31ijF6zmh3dY2zb78WoU7F5eWXaMYCCgnv5vfPcuXEKU0qceOwGdh3vyZjY9zgMVKZQVh+XfSTn8MADD7Bp0yays7P55S9/ycGDB/8uNtb/r1giMIZz+S2MHXyNpH8EXX4VppoFqAxKZJ/QWFE784hdhLIKInIilok9B3yH3sB9xb2MAaLRSlPBVfzysYvyhsNYD/SxYXEpT6XEQM60jVKWZ+M/by5lbGiYnNIyjrcM84e3x2uJt6+ZQfu5AO8dbUMliqyaW0Rdvh7f7teQoiF0+VVETr6L/9iO9HcMy+5kQDuVvacGcVh1WC1qDBMRI8kEodZGdHmVRHtSpRRBoN+nLK5VRQ4az42XjFSCMnT0wbFxbYat+9q5e9NUZtZkcfTsILPKbUx1hvnOjWW09IUwawVyigt5+Pfj5boyYwDpElGkxOmdWEuXAaDVaokWrEToGHcwCCKjjqkMjCrHkxREBK0eqXY1IUMWxsgg9sN/5Dt3fJ2DFwLodWrmmPtIvPkdilOb8C76NNv2e9OblCSZZ985p/Dm77pAS5eXFbMLOXi6Pz0/YTJoKMmz8qvnG9FpVFze4KKs7WUCFyU5+1q5ZeXX+ffn/Olhqsp8K4VyD/Ksa5FVWjQ6Db9//iS1JU7qylz0DgVx2fTp6FQQBU6Ec3nzSMf4ce3pp+jqcjwNNzIWjGFx5WLQnUvPFxTnWNJghInW3TtKdttJ5ESMSMcpilbfQ1mehQs9SkY0r9pJPHWcnf1+VswupLkj00HUlDg53TaCw6LDZtHyl6dPp+dffMEYfcOhNErG4zAQiU6mRzndOsKUUif9IyHGAhHKJ8BWL5pBq2b5rEIkWWZGlYcfPzUOZOkaCPDsjnNoNCKJpExzxyi/fqGRL90yi1m12ahEgWwGib/yg/SwaPzkDpYv/RTbJnAevbLrPA/fMx+9VkWOy8SquUWIooDXH0VIIa5bUnMuF3/j1r1tLJ9dyKu7LjC7Npt3D3elF3NrSu1torlseuxmPc/uaGbUH6Ugy8yDS+7FvOsniriTWptRygI42NTHlsureOHdFmIJiYIsM6vnFWOQQiQNJvSimkOnh9NZnUajYngsgk6jYnZtNga9msNN/Sl50DhtvT48DmNaH/2iDY6GMwSiPg77yDlIb28vp06dQpZlcnNzOXz4MKtXr/5YD+afZYIs4d3zPKYpi1EZzMQGOxjd9TTutfcDkBhsRV13OULr8TQBnvAhdAMIIhGNjej8u5A8FTz1YlvG275gbFL5raPPhyX6HvrWo8h53+LRd8cffLtFx0gwwc4jyqKcSEps3dvGlGtrkFKOSWV2pETvFRONVo4Gs/nVW+MR3a6jGv5t5a3o9vwu/ZoU9mVoHBsaLufne5Sb/2JqfvGhlmTS9AYT7bGtZ/jv+xtY0vcEibPdmNVLcNqzsJ5+HLW7AEE7n4fWFPLUPkX8xm3TMWkrgoAkJTHq1cTjCdrkXHKXfhpL114klRZVzTJ+9cq4o+qNW9As/zo/f7OLQW8Ytz2bT679NIZUVDbqizCq02AR1WkFPl98sviULxjLGIR6Zkcz/3ZLHV0DAVQi5OS6OdMxxtoFJfhDcUqLrCQmolalBM69P+M/b/0cnX0+dKJEXmkJTW0jPPZBB7F4kg0LNGxeVs4LO8/T1DaCUa/m3ivr+OXzjcQTEoIgsuvM5HLWwdYQ7X1h2vv8mA1B7twwhV+9cAJJkmnr9VFT4uBQ00DGd3JMyYzJ+uCJd7lt+d38blsXC6vMLGnI4+t/VpxuYZaF0lwrFQX2jJ5DltPA5mXldA0EiSfkjMHIuVNz2DFhnmTMH8Vtn5xtVRXZKcuz4bEbiSUS3LlhCr9+8QRdAwEMOjW3rKnBoFdxulWBMlcV2Sdt41TrMNcsr0xzG226rJxfvdBIZ38Ai1HD95cFiF3CImBs3sqcqvXsbVIW40RSJp6QuGJ+CWOBKAatihybgfwZSsP9yIegpOJJidJcK/keM3VlLl5+35t+LxJNZMibAlw+r5g/vnoq7ZC6BgL89N0kX59/LZb4MMlYhKnFlozJ7DNtoyyalse1KypJSjKj/ggmo4a/fNDHifNDVBc5mFnj4v2jyizQWCBGWb6NHJeRdw51EozEWTG7kGkVbj5o7OFcp5eiHOuHUrn8nVMJ/0v7SM7h61//Ou+//z4lJSXp1wRB+B/rHNTOHFQWF/4j4wRw9iXXE4vF0XgKSQbH6DPWoF3+edzSMIgqVA7PJLZU29wNPPxSDxe6E1x5WZx4YnJkdenlWjfTTfw95aGNDPZkDJVVFtrTyIiJdvL8MOW2LBKjvcpg1IStSpWX8fTezGglEI7TlcylfMJr5mnLiQW8GAQBQ+UczidyON/bni4JrF9YzPFzgwTCcSQZjB9Su5xW7kIeGyDaoRSDxw6+jufKzyDHI6kShkzF0Z/w9brLkNVaDL5hko4ckqPjmZG+fjWiWuY/rnKBEGVEn8XBNjdtgaUICCxPZtHvHa/tR2UNP36pKV2aG/JG+K8XW3nw2oY0lfLRbBOPXP9vxM68jxQNkV9chCiOZDTti7LNBELKAqNWCWxeXMDwaIAX9/aiVoncsd7Ftv3taf6mbfvhs+uvonykAymilEWkwAhZ4VY0B/6I2prFGeOX+M3r46n9i7vauWVNDXdsmMKJliHm1+VQVWjj2/ctoG84iMdhYM/x3kkRvN1q4Ni54fS123Gok+tXVPLa7lb0WjWbl1XQPRikdyiIIMCG+fnkDHyQsQ1Bpaaq2MXDN+rR6g28enCA5bMKOX5ukEUNebz8/gXyPSZmT8lGQKFa33m4C1mG/af6aKh0o1YJaVSZWiWmMw+AWELB9k/k/HHZ9KyaU4RBqyKSSGLWqbHoNfzr7XPwBmMY9Wqau7z89Onj6e0YP2RSuSzPRp7HxPWrqrCatHT2+ejsV4bVRFEgFp08zU8yjkY9HnjVlDjIdZsw6dTodSqsejWxpEzfcBhBECjLtWLQqYnGEqhUIvGExIpZhew80kVJrpUDp3pZMC2Xs+2jNFR6iMYT2ExaPDYD+dlm9Fo1Akyi4OgbCROwlsKuV9DYc9iwSOJUq4NTqTJeSa4VfyjGM6m+zP1XT+PRN5po61V6ZgdO93Ou08uaBcW8/L5Swk0kJf702njPKRaX+OVzxxlIleyefvssK+cUZmQPJr0au1k/+Tz9A/aRnMPevXt5++230es/3p3/v2WJ0QHcV9xDtL+VhLcfXW4FotGKFIsg1Cwk0n2WYncu7VEzb/eb0akFpqslcq/+PKHmAyT9IxgrZ6N25vHpq+yMjAbIsmqwm8r5ywRKZ51WxZR8I9MrnMQSMlfMzWfUF8Ax/150ySCyNYcZ1YF0xKRMvZrTN85FK3KqSfYpUf1FycpkwKu8Kao/VAULgw2NqxA5EcUy/0pUVjeRI1sRNXqiPecoLjLx+y0WYt1nUDkLUNuGqLm7gU6vIidpNmpZu6CYt/a1I8mQ6zaxoC4XtoV5VAABAABJREFU+ew4WyyyhBT2o3bkkvCPIHrKwWBDPqlMmvuNNmxXfgGp5yyx3nPoK+awrdPEE39pw2Uz4AvFyHWFuH39FFx2A6Io4LHpefj2GTy+vYWhsRiCwOSmd0qgaGF9LlkOIwun5ZCw6FAvuE3R6E1KfOnmWfzqhUZ8wRhF2RYeuq4Bo07NnNpsHFYdPf1jfP+J8UVrxB9JO4aL9vjuEf51+jJoVAb7hIKphOzl+Offj8lkoLV7Mm/QrmPdPHzXXFZMz0OSZJp7fPz82eP4gjFEUeBLt8xiz4neNGomx2XEqFNncByd6/By/1XTmDUlG4cuSfTV7/KFdXcyGDdi1KnIM8QIP7cvI/DQTl/P9hOjvLWvg3ULSwhHk+w50UtNsYMjZwcozbexdW9bxrFuubwqzf00OBrmqqUVaQTXwdN9XLW0PE1HDvDWvna+88BCegYDxFMlkiybHhHweJwMDvqRZRmNSsBj1aFSiZMQbaIgsHh6XrpkaTJouPGKan70xBGCkQQatUIOmOMy0jesMBGPmstxXNIjNM7ZRPiQGrtZx/RqD+sWlpBIaUSIooCfBL9+8SSn2xRHNrPawzfvnU9zxyi+YIzSPCvD3jBvTjgnK+YU4Q1Eee6dZgx6DTevqeHTW6bz9NvN9PmDLJtZMOl6G3RqNN52pHCAaLiF2Ivf47PXfoudF7JBUJr2v5vQlzPpNZOe71F/FEuKg81q0k7SrzAZ1GnHANDe56e62MHNa2rYd6KXbKeRmhIngUgM+CfPObjd7v/fOAYAQauj9/FvYp27AV1+Db7DbxEfasdcv4LA8XeQYmEixhys09Yz1RIFAUz6BP1PfRVj5RxUVg/DOx5F7cxleOYDfO+ZZqZVuLn5imoeNGrZcbCTHJeRdfMLyB3YzwOeFmRBRFTJ/LFDx+9OKxGgLLfy8B0zKHBo2NM0gsemZd28/PTMA0BRlpHpVW50oXqS/mFkwLXxM3jff4pYdzP6QDfXLJ3DH18fRy/ptSpysp04y7+gkObpHEQkEfumLyEkIohqDeET7+A78Gr6OxpPEc6Vd2AtLkeWoXskjCTJXH95NcgyvmCMLGEU6fz4dKuhfCaCRocutxyV0YJo1NKz/Isk4gkkSUanVRERrLhritFPvYJEQqLaFMZ+1MugN4xWLbJ6XjFFbgNl2WYuDoW5rTo+cXWdonKl02REtKBEk/5UTfxcp5dILMGVi0qZGJTWFtr4zn0LCEQTOM3aNO1BsceEw2nk1y9M6HOgUItfasFInHjRHHTBIaKuShI5U/jp6720dIXJcQqsnzsZlFHg1qNWySTiMoFYkj+9ejp9LSVJ5sdPHuXf7p6HLxhFFEWsJg1f//XejG3cs2kqR88OcLBpgFk1WcyceiWa175FHjKIKloWfhn3qi9gH2pEjoSIFc7mnT4rbx9qo38kxO9ePsldG6dw54YpeP1RdBoVJXlW9p/sTZeOct1GjHpN+the232BG1ZVc9vaWiLxJDqNitI8G5+9YQZb97Xhthu4fF4R//3EYfpTJHkXh+CqnQmi/cPo0BFTmTM4gS4tRY0Goiyoy2VKiYtQJE5FgY2fP3c8DWKIJySe3HaWa1dUpnt1v97l51tXfo3EibcQYkFCpUvZ1mXh1rXlRGMJLAY1I/4YX/v9fgLhOIKgDIuKqvHMIt9j4ZfPHc9glf3clhlsXFzK7sZeFk3Loa3Xl+7vBMNxfvviCW5bV5smo3xl13k2Linj1RRIQxDg3pU56E/9mot3j5yMow8NsHT6dBCgucNLZaGDpTMLSCRlrGbtJNJAUBiMFbSSCuESatAPQ4ZuP9DBLWtrcVr19A4H6R4MZCgofhz2N53Dtm2KJGZJSQkPPfQQ69atQ60e/8r/1LKSyuQk65ovIYX9JP3DWGetRmVxkgh4sai1qG0euow1/PyZ03Sl+IdmVbm4efpmQscm6CyM9tI/MIpRr+Fo8yC9gwG+fudcyvOtqbRcJuQoRy8IkEwQN9q5YWUei+s8+CJJCpxaKnUD5MnvsKrBhSbmxRrw882VAmOaQpCT2MfOojl9DlX9GtTxCP0RNYlkDp0lt6ItDhMVDTjMJu7YMIUDp/rIchiZU+Mmq+d9BvY8iywlMTesRDdzIxG1FVRWjLFBxg6/mXFOkhJ0J930nh9BFAWynUbKC+2M+WMkZZkcl5HirDh+exaJkV40OWUYq+Yy9Nov0tuQEjq2+2p553A3sqwgU5bPFPFY9SRS5bMCp4F/v28+w2MRzEYNDpMmHRAqyJok7x3q4ql3LpCUZObUerhj/ZQM/v4bV1czMBpm7pRsAA6e7qenJkRRthlZktGqBXpHArz8fivne/0snJLF0pn5OCwG4kmJREJWFq0JDUdJkjNEXUARnXnhWJjCnE14fRG8Xd50U1OSZWqccRbW51CcY0MG+oYCrG2w09zlZ8wfw2HTYzVp6R0ejwSj8SSjvggVLhmQkQ0mbr6imie3nSWRlFm/qIS9J/vS/EtNbSPsK7DxqWlrEFs+QI5HyY9dYOtgFYfPFqLVqLH3SNSWiBkyoNGYxOEzA+xp7CHfY+HuTVP493vn0z0cRBQEHBY9X//NONHkkDdCMBxjVqWdYW8Qh8WAwaTH649wxfxi1CqBs22jacdw8Xo9/24LW1aW4g2JaOUApe4YapNCgJhMSqyeW8Tu4+Pl01hc4odPHFGkTa269L4nWiIpo5qwsFcVuXjiuEz/0AIMOhXBozKza438518Pkus2UZRt4WBTfzrDlGVF9vWBzdPSnGRWk3aSDvNf3mjikfvns35BMQgC/3KJkwYlqjfq1YQiCU63jpDtNPGp6xvoHwlTmm2g8Pjv0lD29PGLWn790klUosAV84spy7fx3hGlZ3b1snLWLSpND4+CQrNTnmclx2lErVJmdSbOZMQTSaoK7TSnmG8BVs0tJt9tIhRNUFfuwh+KZ/C+fRz2N53Do48+mvH/k08+mf77f3LPAZIEz+4jeOI95V9BxLPhk4xs/xNSOIDKkcdutyXtGAAONw8zv6SC6gkU2/raJcypdDCt2IJeJdMeMvCfjx5Cq1YRjSX42qYcYq//J9GLFMyiGsuVXyVfJ1CiCiKpnHjfe5L4QBsAcWDEP0Jgzr3sPjGIUadiQel0LKoxPv1oJ4GQMkp/+zoNc6cVEE0oKfzhswNU5RoodhUhCmAxqAgf2pPqT0Dg2NuonXkIlSuQZZlIgjT88uLvH1v0Kd7Y082+k72IosiqOYXMrs3i2R3nsBi1tPf6aKz28Jlr/g0xFkTUaBl55t/HN6HS0KatZMeh8Qb7yfPDFOdYmVnlQRSVBViWwaAWKUgpVkmSTNdwmF3HetBpVcyptPH49vPotSqsOjUHmwbJdhj43oOLGPYpMMT+kRAv7GyhayCAKArcsKqKYCTOIyklu3uvnMqPnjyWXixe3t1O72iEy+cWcaR5EI/dwKq5Rew/1Zdu7F3o9vLFW2bx2gcXGBmLsLA+j7lTsnll1wW27WtPIZDcHGrqJ5GUGRgNI6l1GNVxnkzxWG1eWs4rh0fY3TjuyLZcXs2IP5KGeK6f6aLWv5fgjpcRVGqM86/hsqkLmVm5mEg8iSTD13dPYAcGBCmBpWo2SbMZUW9BW1DNNYZsVswuJJlUzulXf7U7/fkZVR5OXBii8ZziYNr7fHz7Dwf4wacWYzVqEQQBs17FQ9dN5+397Qx5w8ybmsO8IhWJ576EKxJA0BoIXfkII74osXgSvU6FxZQ5qazXqtm8vIJdJ/q40O1jRrUHtdFMpTGCpDIgSTI5dj3fuX8BLd1jiIKATqtGkmSOnFUa7JuXV6QX34umVgk0VHiouNuOTqPCYtLw1NvNnOlQHPO9V04lEpOoKXHS0eenbqGbFy8RYlLurfG/P6z06gtGQRCQZaWUmucxZUBwQSl7RSdMcxfZZWaZB0jII2jMOcSmryHUM15KFrLKGdNlc+SsUrKsKnbw/DvnmFbupqHSw8vvXeD6VZV8dsuMFNWHAVmWCcck7MZxyo2H757L+W4fsUSSgiwL8YRMfaWHvuEgBdkWvL4I/nCc/uEQnfEEdeUpjYx/Fn3Gpc7h/y+WDHjHHQOALDHyzqNYZ6/Du+sZcJdwvH2ybu15r4o6dwGx/jZU1YvpKlrL4y+eo6XbR1WBhTvXVbNqThEdfX48Dj36vmMEJnLzSwnk028TLL6CrmENswvDhFKOAQBRxdD0O/n2n8dhMm/sF/nO3TMoym7FYtRyqnWYtl4fnX1+jjQPsnJOAcVuHd/809F0dFZfauOOtV+kr62VpCyQKwwTPrcXVdkSRoJJrHob+trFRJp2AaCrmMP77WH2pKZ/paTE1n3tlORaWTI9j86+AIvq8xgcDdITEPH6tVS6BaTEeKNQbfNwui+Tnhzg1IVh1s1yKQJLRgc6kw0R8IYUcZZRf5SHf6eUqkQRilzVbLm8ilhCIhBSplAPne7jinkC2PSYDBre3NvGqC/CvKk5+EMxtBpVBnvquc6xSX2KA6f7Kcu38Waqxl5X7uJrt8/hdKuSKRVkmfneXw8yrdxNWYGNaDzJT585RteA0hjd3dhDS5eX1fOKeWNPG2qVSNOwmu1HetP7MOg17G7szdjvS++1cNXScoWO2aBhU5mfcEsTodm3IiIhnHkfm9WJOrcBWdbQNSEyB6Vvdf88Ef/z445YZbZj3fyvWA1OJFkpb1QXOdIyoFVFjjSb6kXbdFkZf3jlVLpEMr8uB4dFjyxDeYGdPGOUxEvfS8/GqFyF9IXVaFQxonGl3GPQKQSOOw4pkqWfuGYav3qhMR35t3R5mTc1h6zVlbx7rJ1cl5HqQjtuiw53jaLP4gsnMgYF3znUyX1X1fHrFxQRKY1a5JObKjFqZNzmcYqe29fWsH5hKYmkhCjCT54+np798IeUvlJHf2ZmYJ3gzIpzrBnlSVEU+OyWmTy9/RxHmweYUurkysvKOdfhTTMIl+VZicWT6Yh86VQHCyLvM/bSOBhAPf9Gwqu+gs7XQUxj4aTXir533JloVAK3rK3l/SNdnOvyMndKNu29ftRqkdd3txKJJZBl+Mpts7HmjU+C2wwaZla48Hgs7DjYzsvvn8egU+Ow6Nh3so8VswsY8UXoGvCT7VTO06XaMf+o/W97Dj/96U+ZM2cOCxYsAODLX/4yRUVFPPTQQx/rgfwz7VJ5T4Bk0Is6vxb//PswqpIstXl49FKZ0Hw7e0evxVwAUa2D5589mU79mrv8/OCpk3x1cynTfUcQzYUwOnnwSAp42XEmzM5j/WRvqcRjMCOFlePRT1nKS/syxWASSYkjzUNUFNhobBnmnk11vPReC229yrEVunT85a2WDNRTY+sYx9v9/OUNpdFtNmj41+tuIdw9gH9okGBuIX7nUopnetB2HkKsXMzRdydLJDa1jzAyFuHEeWXi884NU/juXw7iDcR4cF0xc6ctY2z/KwhqLYmAl/ISDW9fso26Uhvi9p9A33nUriJ8K77Iz148Q9dAAJNezZbV1RRkmekaCCBJkJtl5ZlnT2RMrj54TT3ne4OKMLxGZPmsAuZNzWHYF8GgVeG06TO0CkRRoDDbwqIGpSkcT0i8d7QTt93A9auqGAtE2XWsm1F/hJfea0GW4ZoVlcgy6XLOlsur0o7hovWPhKgucmA1abGatLT2+KgosDOrJgtBAKd1Mn1BJJakKMfCg9c2kOvQERk4zvOJlex6YxhBEFg7cxNr/QHsRSpiKYW9hkoPx1NzJ8umOjGcfIqJbjcZ8BLrbeHb7wqEIgmuvKyMT2yexrmuMTr7/dSVuXjdoEk7SIdFRySWzBBy2neyj6/dNpvaUifhaIJ8lx6x2ZJ2DlLNcnzhOH9+oymN+spxGbn/6npGfBECoXH02ETbf6qPDYtK0ahEvP4Y2w91ccXcQkyphpAgwk1X1HChe4zhsQg1JQ7sZg3fWaNhLG7EIoQxHP0Z5txP0RFwoNWocFl0qAWBPKcRUYTT7SMZQ4HHzw2y6bIyHtt6Bq8/ikoU2LikFI/DwFdunYUoiFjNGu7YMJV3D3cy5A2z5fJqnnunOf0c7T3RR4HHwqevn073UACNWkVxjoXB0RCblpQRiSW5tg7CL2aixJIHn6Nj+mf5/bs64skIshzhs1vycVoVmu8ct4n/euxIuly5bX8Hl88tIsdlypBpvbSrEIwnGfZFaRsM4rQqYI1wNEE4mqA4x4Ikk6Zfb+3xcaJlkC/cNGvS/feP2N90Dr/73e/YvXs3V111Vfq1W265hUceeQSTycSdd975sR7MP8tUZsekCWltTikR0cQ33ohg1Ku5b6OBRXVZ7D6ppL/L6pxUGLx8440hwtEEN6yyZvC0gDIVGuzvRHfyTSRAu+r2Sfs21y2heNQC9NMV1FK07C6Cb/4MkFFZXSQ6JtcN4/EEQ34F8943Ekrf0KBEJt2Dk/UbQpFEqumtoH1ODAhUOxMIgoxeq+bXHwwi42ZRzc1kjZkpywtx4ZLhpaJsCwdPj0/rvvz+BebV5fLWvnY0Oj1J2UJg3Xe40B/GYlBRXehh6rkQp1LUFjlOAytrTcReVFJ+KbuKX77URNeAkpUFIwn++Oopbr6ihsdSaluDY7EMx+Cy6YnEEvzhlVNE40m0apGv3j6Hv77ZlC7VLJ1ZwG3ratPDVYmkzMJpuTy7vZmkJGM2avjSLbN5+u2znG4dwW3Xs+XyatQqVTqStBgypSf/V/QwA94wT73djFYt8uB1DSRTA3aSJDOzOiuDTgIUePIHx3vY09jLJzfX0RLM5v2TyvyALMu8fmiQyoIK5qR2ZzVqmFrmpLzARnuvjzk1TuTdk7PYZCzM8JhIOJrgT6+d5oHN05hX7WFOlRtZhjs3TuFnzyiljaIcKy0T6tUAt6+vZeeRbvaeVDIdg07NV276Go7XvwKJKIKjkDfebMuAA/cNh+gdCvCpa+qRkTnTmXm/gOKYfaFYOnOZWe3BG4zz7pFuVCqBHJeZ37x4Ao/DgN2s45nt53BYdfzrFWbc2/5buU+Azo4+/u1VZfHbuKSUJfV5DHjDJCVwWrQU51jSPYRdx3qoLnZw+dwiREFAFBV47I+fPELvcCh1DiwsmZ6Px26gstBBJJbMeI5cNj2ReJIfPD4u8SkIcPv6Kew41IlOo2JT6WSyUTkZx6hOpoOzuVOysVt0zK7NRhQgEIpPgr++e7iTe64cbx7nu00ZutG+SII9J3t57YNWIrEkX7h5Brevn8ITW88QjSdZWJ/LsztaMrYZjCQY9Ucoyfr4CFH/pnN49dVXefTRR7HZbOnX6uvr+cUvfsGdd975P9Y5SCEfzmU34d3/ClLIhza7FHPdUuSE8hCGIgl++twpHtlSxJpiEypBxtK1E21vFtnOKtp6fThtevQ6FWunuyi0Q/uozFvHRtCL49FA8PQe3OseYOzg68iJBOapi5ARKc5TUC5GvZqf7RNYu/ALWCUvQYOLDXOsnJ5AdSAKMLvSwcOPKrjnS5esncf6WTjVzTtH+zNeN+jUadRIQ6WHvuEQj21VygEqcZQHNtcTDMdo6RpDG5ZZOjOfg039acbJwmwzoihk1IIlaVwqdjAEzc7pfP/xE+n95Lr6+dIVDsbqBJKygDvaieXcGaIpaoiQtZj2/syFTpYzVbpCl4jer5hdyONvnU2n+tXFTl5+/0IG79N7R7qor3CnCQm1GpHHJkCK68rcPPZmU1rKcsgb4S+vn+Zb9y3g4bvnIYoCTk2Y2RVWDrUoju30hSFWzy1k24HO9HYWTsvldCr6TkoyoXCCdw6Nv3/k7ABl+VZmVCmR/+wp2ayeV0xbt4+CLAs2q55tByfzMx1uDTIztVZoRYHZNVm8faADWYZTfQlKZ6wjsGuCmI8gkrAXI0kdGHRqwtEEW/e2M6fagyDJIMDASIhb19YSjSexmbT0j4Yy5itsZl3aMYBCCPeXt1r4/OLbkXb+Fiken1R/Vz6XBFmhlfPYDRTlWOiYkGGvnF2Ypo9QzskgtaUunkvRfN+9SZE4HRwNp6/hqC9CQpfHxZEzQWugO6wHFOdTmmdj76k+3tzTRiyeZMG0PG5ZU8P3Hj2U4iCT6OkZYmFDAcdbfTitek63jaYdA0BHnzLZfrp1BF8wxpbV1RmooelVWew9Mc4IAMq9GYtL1Fe48PpjqBw5SJfMOmmySymuLON+fS4GnRqnVc83f78v7VQ/VTQZ0WY2ainLt1FRYGdqmZPFDXmYNOPCWe39fp7ZPh5gdA8E2X6gg02XlSEIAgVZFjRqcZLT0Wk/Pl4l+N84B5VKleEYLprb7c7QfP6fZqLexPD2P2OeugRRqyc+0ou/8V1iC+9Nf0aSYXg0SOGBXyn/A9qGz7PSkkUokqQhV+BHW7JJvP8npHP9VNlzWXvTHSSOvJKGtUV7zmGomIXWlQ8qNb5Db6K2Z5OYVQNAJJrk+PlRjqd7ab184WoDX91cxtZGLwaNwNqZLjr6fekb4Xz3GDOqPGlVqLcPdfPDB+fgC8U5dHYEk17NzVdU897R8Rt9WrkrHZmDsrA9vvWMgjc/rnzu4Gkrd22YylgK2uiy6fnFc+NzAAAr5xay46CyGGY5DDz69rkM2GLvcJjOURsl+3+Wfi2WVYxt/pUkvP2obU7sFm8Gb8zFfdVXutGoRLKdxgzUkCAIGQ3B/5USnD8Y4/6r6ojEkthNGixGDUtnFmDUa8h2GPjZs5m/JSnJ9I8EmVGmqEjrwz5uyTnLmuqphJMiuTYVxsQQ0z1ZdI4J5GdbaeyKpfsyHoeBs+0jk47jwKl+vn7HHOLxJEadinM9fp58+yxJSSbXZaKh0p12UunflGdj4mCj3aDhysWl+MJxHBY9PT1aXIsE5NM7wGBHP28zjQELGxaXpnRB9HT1+xBTmaIvnODZHecy4JI3rKqiLM/KhR7F+V1K+w4Kfl4qXIj1qq+idrpYMVvFC+9mRqgluRYiCQlJllGrRW5bV0tbr4+2Hh/TKtzEYkn+8OqpjO8kJpQ83TbDJFbhJdPzMfUcIgKobFmEZ9/KE28ojsxs1CAlZV7cOd5w3t3Yg8um46tbavmgsZ+GQh2leXa+9uejhKMJVs4pTCurTbQLXWNMr3Tz/rEexvwRNiwp45XU4FkwHMNu1n0IckpCQOlJfdCaoOGyT2FsfJ7kYBtiYT2BqRvp6ovymxdPUJpnJdtpyvhtNrM2XTa9aBsXl2LQqvnG7bNBljM+L4oirT2ZGVkyBYC4mJGumJnPpiVlGX0lj8OA2/5PHoKLxWJotdpJryUSk5uP/1NMNNmwzd2Ad7ciJq+2Z+NYcRtfezWTw8busIIgIqg1aGdfhWTJoaHtXSS9DYs8hZG3f5aenk16e5G3/wJL3VLGupSHQ1BpEESR4Jnx2QBVXi2Hzgyh16nI95jw2A0Z9dMfvniB/35wDl/I1yDJ0BUy8NSutvT7B0718W93z2N2bTbNnaNMK3dzoiNISY6VdfMKiCck1HojVUUO2noVp3IpDQAoEopG/XgppbVHKVldRN6YDRoeuq6BfSf7GPVFaah0k+sy8bakLMzJJBmDWxctnBAySnaG8pl4dz9PwtuPxpXPJ6/6PN97ojFdzlk+qxBZlrlsRr7C/CrDXRunsPdEH6P+CEXZZnRaVdpBtPX6qC52ZNCHgzKkV5lrQRBgZHSMa1ZU8uLOFsYCMW5aU43VpJ10vDbTeI8gaswhq2Exhv0vkvQOYF+6hcEXf0M+AoV6I+Kgm9OWa9OfH/VH8TgmI0MqCu3oVCIaASJxiV+/0JhuaPYOB1k1tyjjmhdmW8h2jS8oggA9o2F+9sxx+kZCeOwGNi+v4KVzuaya8xlGgxKuhJXfv3IsvcCLosDX75iTrpKKgsLRM9GpPrOjme/cv4BkUlbq17HJcx3TKz3sbxrkiW09uO0jfPHmWcTiSd451InNpOPaFRWoRIGv/moP0ViSDYtLmVmTxcBICJNeQzIpZWQNF49NPUFO9vXdF/jiTTN58u1mhrxhFjXksWZ+MYGYB/LmIJqtvLF/IH2tPHbDJK4mgENNA1w+s55NM8NozTa+/IeT6Rr+WCDG1DLXJJ6jmhInSxpy2bK6hmQyyTM7znHLmhrGgjHsJi3zpubys2eOpp2q266nPN+mlIsjcdw2J197tpklUzdSXq/lSHuYo4+18vU753LDqiqsZi0DIyFyXEYWTMtT6CwkWNyQByjZmdWkw2LSYDGokCZSYAgQjCZRiRL5l1D7J5IS5gk9pOk12bx/tJtb1tTQ3ufHadVj0KnoHPCT9THSdv9N57Bs2TJ+8IMf8C//8i/pcoIsy/zXf/0X8+fP/9gO4p9tclJCV1CDZ+MnkSJBVGYHPbKb7qFxlNC1i3LIzbYhX/tNJY1X6wkeeQ35zE4EIGm7I+0YLpoU8qHKKkHjKUQ2e7DP3YBv38vp91VWD5ray6gf1lKSZ0OSZW5eU8PvXz5JIKzoEVy1tJwLAzE+/5yySOs0Kj59/XSGx8IMeUM0VGVx5Ew/bx/oxGXTYzVqef9YN7luE6JaSzASZ8g7xLqFJRTlWJBkmQKPCZNenR40AqWfMBEXD2Rgy3NcRtp6fLT2+LAYNTyzvZniHAuP3L+AYDSBzaTh8nlFGRGdKEDRhJqnvmI2SAkSXmXBiA93k3/893z2+rvpGIygUYu0dHrJdhgIhBMIgoDLrMNq0pJISoSjyfTv/+kzx4jGkjR3jPIvd8yhdzBA/0V46KISilP7lWVAreXRN46kF+XXP2jlmhUV/Pm10+lMZ05tNlaThmAsiSAoEp8RSzGG1Z9GkOLIgQEQVQiVi4g6ytCNdbDSNkSgIZcPGnvRaVSUF9ioKrLT3OEFFDGYNfOLkVKwyVAsmcFXBPDktjN87saZdA4EEFCczMHTfUwrdgAywViS7z92OF3eG/SGeWLbGT5/VQWxkT6cKi0jI5mRvyTJvP5BK5++rh5RELCKam5YVZUx3VyYZcFu0mLQKIFCTJK5bV0tT207SywhUZJrZcPiUr79h/2AUnp75E8HeeQTC1jSkIdaJRKLJfnar/coQjaCwPPvtmA1adm4qJRwLIlBp6K22MGjW89y5OwALpueuzZO5dE3myjNsyJJMicvjHD9ykq+fttsYgkJi0GlODWjA8HhQJZhw0ITZ9pG6B0K0TMYZOXsQi61ohwLFrOJpLGMaDyJShy/d4+fG2TZTAW0sP9UH4IAi+rzqCy0owZysy0cPzvArmM97KIHg05NJJYgx2XiG3fNo284iEGnJttl5JE/HiSY0mYuzrGSlGR2nhhmZ2pfggCtPWPpKP6Bq6cxvy6XN/a0pvofAjOrszh+bpBwNEGe20wiIRMIJzCmrkUwluTNfe1s29+OUa/h5itqWNwwntW/f7SLL906ixd3nmfUF8Fm0nKuc5QjZ/rJcZk4EowRDMf53JZxavSPw/6mc/jEJz7Bgw8+yMqVK2loaECSJE6cOEFZWRk/+9nP/tZX/z9tMb0bVX8TUjyKymQnNtKPRzXEI2t1DCcMWDRJbO1voAtuYMxWhSCARQPmynq8nUdJhvyodKZJTW1EFYKrCGHdvyCqNFzwx2hzb2BewzoEOcmg7OCP2wY4cnY86r1n0xT+/aZyvCNjGIx6gnGJ7nCC61ZWkkjK7GnsoaNnlBXhN5B8g4xE7+C13W2AIhQ0LSGxcXEZQ94woUhc4YyZXcivXmikL1VzNRs0fPGWWfzX40cIhuMUZJm5flUVP35qnI7YbtaR5TCma7EjvojCc5OCBxp0am68ooYfP32M891jlOfbuO+qaahEge0HOnFYddx0RQ3BZJyheV9EkCVqcjWMvfTdjHMf72oid3qAZ08OUpJr45oVFfQOhXj5gwvoNSquuqyckmwTOfW5CkxTBhmJb987n2FfBKdFj9uq5Qs3z2JoLIJOI5Jl16NVjUen/d5YxkDQWCDG9gOdfP2OubT2+rAYtWQ5DOw/1c8ruy6gVoncsKqS+VNyABHQoTV7CF3+L/zhvWFa9gYozanh7qVOphRqyXFXEY4m+M0LJ/j0DdORZUWUJd9twjihdqwWFZ3riY3+pCTTOxTkqQka31+5dRbJVBlt1BdNO4aL9qlVHjz7fkpyVClplTRcweX1NbzdON5DGPFHOX5+hJ1Hu1hQl8vsmiwKPGZOtQ6T5zZTU2xPOwZQehsrZuQyrdxFNKYQIf7smUZuXlNDPCGhVYvsOdHL4GiY0iyl//TK3jZuWFWFIApISWUC/lBTP4vqcijJtzM46AeNigevriMYSaDViGhEuHP9VN490oVaJXDr2inkOk2oBNCqVBmPz0XH7TRp+PLNs+keCqLXqnBa9RRmW9L3olGv5srLypGSEgJg0Kq44fJqfv+yQtcdT0g0d4ywZHoe1SUOBBRaFrdFR0KSGR4LYzNr09H4xYxjcDSM3aSlxGNCEODd471pxwDKMzGxEQ5KSexiFqvTqvAGouw83MX6haVIssT2Ax1YTVpGxiJ4HAZe393KWDDK9IqFgOJcdjX2pmlMfMEYv3qhkc/cMENxRimp4FMXRphW7qZ/JIRBp+LaFZX84ZVTaaqNykL7h9LQ/yP2N52DVqvl97//PQcPHuTkyZMIgsCdd97J9OnTP9aD+GdbHC1y9hS00WGIR9CXTmfs/SfQn91HfuozosWJ2uLArFcIt+IJiaCrge7Lvkk4lkB2WLAvvYmxnY+lt2tffisJvQudLKJSCeza1ca2/Z38IfX+vVe5kVEWg4vohme3N1M7cwznQaXhaHZko1/2FU52JtBpBDYvK6fYGCLyxgHl2Ecz2Tm7B/yU59voHwmx63gXBVlm3HZ92jGAglba3djDN++Zx6g/itOiQ6sRufmKGnYd76Gq0E51sYNfPHs83fgFuGFVJZ++roG+lGjO9/56KI3QOt89xnf/cpDvfmIBK2cV4LAZCQUiqFQCPo8VSQazNEgIUNuyUNk8xAfaEDQ6jnVFyHWb6BkKcLp1hD9PIBnrHgzyqesaeH13K/2jYVbPKyLbaeS7fzmInML0371xKlv3tafruHluE1+9dRbmVGP7w/DeXn+EE+eH0uRmFqOGNQtKiCck4gmJP7/eRJbDSE2B0mMbi2v5wev96aZsa1+A778WY+XsQl58b7zWq1WL5DnGH0pBAE0yiBiPgNbMxsVlvLLrfDoDu2tjHf0jQXRaFWpRYM2CEjz28fKUyZBJFzKt1EZu9ztpxwAQPf4WyxdX8vYE1tgF9bn8+sUThKMJjp4dZPW8Iq5fXkGWw4BWLWLQiBn9IQBfKEnPYFCRp802s3p+Eb976UR6duK2dbWoVSJ7mwYw6tVMr8ziv584kr4H1CqBT147HdUlyC4R0trU7YNBvvvXcRr3PY09fPu+BRnnLJaQGAnEkJARBRAEkf/484H0LMTs2iy+cOMMBkbDxBMS+R4TNoOyfVEUGQvFeO9wJ7evn6LoUKtFHBY9v33pJHOm5Cia0zuauWtTHVv3tNIzFGTtwhI+s2UGv3juuOIkQjHu3lSXMYiWvKThOxaIsXZBCT1DCl1FWb6NbKcxfU+V59tQqwTuuaqOEy1DiKLAA5vrSSSSqESRQCjGwoY88t0mDBoVsiwTTci8c2hyD62tdwyv149GlCnKNnO8eTA9x9JQ6UanUfHgNfUMjSlw7hy3ieGxKNnWj6/v8JHa2zt27GDLli0ZrKz/0y2BhoQuB3Sgj/Shtjiwzd1ApLMJjbsAoaCeE/0iWw83YtSrWbewhN+9dIoLqWZRdZGdlTNqcSz8PCbJR1C0cl7y0CCLCChRkPOSC5XjNDKzOosfP62USLIcBu69ahry6PjiGJqyibcOD5DjNhNPSPQMBsipc6KdcxMJtQG3Okx1gYWzXUr0MqM6i3Od3rQUYTAcp703cz4DoLXbx/GWIcKRBE1tI9y2vIDVeV4uM4ZQux189832DMcAijb12rluEpJMz3BoEnTXG4jSPxqhyG3EZNDg94c5em6Ex7eeIRZPcvWyMmZs+Smtg1FGgwny6rS49QmefuwsoUiChkoP+09mznWsX1TKI38+mG5I/+GVU6xfVIrHbmBgNIwsw59eO811q6rS0XfPUJC2Pj91xQoyRKMWWDazIC1eJApw9bIKXn5/vATmD8VRTcg2AA419VNdYCccTzDij05C60RjSerKXei0KvQ6NcXZFnLtEx2DjHa4mdG3fkPSP4K+bDrqiluoKLCzem4R/nCcY+cGMenUrFtYiiRJ7DzShVolsnZuIZIkYzdpuGvjVH6bEq2Zmq+DC6e51NzCGJWFDvyhGFfML6G5YzQDN7/9QAcleTZ+++IJHBYd9189jap8a7rvHYwl+cETh9PspwC3r6tFr1OmldUqEZUo8s3f70NOsfSuWVCScQ8kkjLvH+uioezDhb9UKjGD2A4UoMcHx3tYPa8Yrz+Cx25gNBCjsWWI063DVBbaaajKIhIb/y2Hmga4bHoB/cNBgtE4ZoMGATjdNsL57jHqyt0sm1WIQadoU2svLryxJHsae5BSf+8/2YskK7DP595p4aHrGrhtbQ0nL4wo1OO5FoYDUboHQ+g0IvUVbp7Z3kw85ajL8q38+sUTWE1aPHYDr+66QCIps3lZBZ39fvRaFQVZFr7/2OF0D+nt/e08dN10/vCKcj11GhVfvGUWFy+ERiWQ6zJNaoRPKbLgyA6QSCRxawYotMPZlA8Z8oZ5fOsZqoodLKjLpW8kxNPbm/nE5voPvQ5/r30k52Cz2bj77rspLCxky5YtXH755f+j0UqXmkoAf+NOBLUGXU4Z0b4LtFkX8v1Xx8nZCrMtBMIxNi+vQKMScdr0/Pn10yyZno/N7MTrj7Dr2Dn+/V4XTrMWSVKETV7ddSFd61eJIn989VQ6ghsYDfOX10/z5WsqkAGVPYduXTmS7OW5Hc2oVSKr5hUzFlPxxBk3Z9u9zK50cM/qPI52xTl8dpCKQjvPT0CU9AwFWTqjgN2NmbC8xQ25HGgaoLl9lJnVHtSJIEOvfR+QEdRa1s778iRxk+piB799rYnzXV4e2Fw/iTBMFMCgUzEWTpAcDtLaH+BnzxxLv//om2dhbS3Pv6uI14iiwP1XTaO62MnRswMKLYNWRa7LxPxpOQqnjihMgujtPNLFilmFvPqBEqElpUyEByils8FADCkpM+KPMhaIpkskxTkW3th9gdXzihEEAY1K5MDpvkmw4AK3ge8+doj2Pj+fvLZhEqrm1rW1vLrrAtOrs/AFohwcDpG9qAR9quGqiwwx+OIPIKlc75CjkoHeftY6ujG2HCRmL6YnfyY9CQt/fXO8HzA4Gk719BQqDFEUuGVNDbG4RL5bhyZWS7TlYMaxDstW3HYDeR6FsPCitvVE86UW8lF/lO8/eoj/fHAR7lTDsnMgkOEYAN7Y08bihjy27e9gzpRs3jnUyfQqD9VFDjRqcVKPCmDYG/lQtbO/ZbG4xM+ePcbwWITrVlay/1RfmgPpdOsIx5oHue+q+gy0XPdQAAEBWVbI+17bfYGDKY2Lc11eblhVzUvvnae5YxSrScu1Kyr50i0zOdU6AgiYDRpiiWS6DDOt3M2hpgH2peC8O4908dC1Dfzy+cb0/VeYbebb9y/kjT1t+AJRslPUFL5gLAPcYEhlSfWVbt4/1p1xzySSMl5/hDs2TCEcSaBSCbz0XgufvKZegV2rVdywqooz7fvTVC4bFpfS2DLMm/sHkGSoLUxw18pc9p4LEAzHeftAB3dunEogHOfkhWHcNmW489Jg9B+1j+QcPvGJT/DAAw+wa9cunn/+eX74wx+yfv16brzxRrKzsz/WA/p/w5IqLfZ5Gxnd9QzhC8dQl87i1UblJhIERcPVpNdw2YwCXvvgApFYkgeunsZNV9Tw8vvnGRwNk+00cvOamozou38kxFVLK4gllBH8i5HvROsaCOCLq7AAYv4UOoai6UZULCHxxu5WyvIaWNyQz/TKLERRYNdZP1curWD1nELiKeH0i/MIkiTT0uVly+VVvPjeeRIJiSvm5jPgjdCUQm8cbBogEolyX/k8pPP7kBMxSrrf4qGrN/Pavm40apHFDXkMjYZp7hhhyBuhZzDAmgUl6dooKNH44FiYU+dHyHWZ6BqcnLHsOdHDlFIXh5r6kSSZx986w31XTePo2QHOtI/wlVtn03h+mDdTlBSbl1cwo9qTpjEHRQNgYiRp0KkzHsA7N0zh2Lkh3tjTRlKSeOi66Zw4P5yG+5bn27jysnJ++fxxIimUzvpFpRmaFW6bjjp3jG1hpW/z0nvn2bysnOfeURxvfYUbi1GD22HksTebsJp03Li6mmFfmPwUfYE01g/JBCqTDZXVTSKrlLkdR5AObicK0HOOfOMBsq74GuNyTTB/Wk66hOENxjjWPMjs2myC4ThRSSRQvQ79QBtJn/J79PWr+GDYmHYIzqXlaYrri7awPo/j58a1QSQZ+kfDaecQ+RC00lggSn6WhTXzi3HZDZQX2Dl+bpCn3m5Gp1Xxic31aenVi7ZmQTGqS71sypJJiTXzSzgwYZBSoxKYPy0Hl12PPxTHbTNMCgba+/xpSdeLZtSp0xoHoihw14apHD47iCTJ6dLdxTkOXzDGn147xa1ra9OACZ1WpWhIp9BUdeWuNDIPFD6qt/a3ZxxLZ3+AvuEg96yvAQS6R0OYDJoMMEB5gY1Z1R5qChfidhg4cS5TVOiyGfmcvDCcFmtSq0Q+c/10Wnv9tPf5sRo1VBc7ePie+XT0+dHrVOiEJD94ajwwber0sfOUgbVzsnnu/S7iCQlvIMrTb4+XN902PQ9d1/DhF+LvtI88NSEIAtnZ2WRlZdHY2Mj58+e5+eabueeee9iyZcvHelD/bEtobETDIRzLblKkQB0F2A6p+cr6LLIYQhLUjNk1/C7V8AIw6jX85sXGdFbQPxLime3NfOue+Qz7Y+i0Ks53jfFyquEpCvDlW2dP2rfLpsesV6EtnoZcOONDaSxOnh/ibIeX3qEgWrXInRun4g8nsepUJCSJjUvK+O1L48NoXQN+NszLYc6KGLKoxmsQ+c7zbRnbPNE6RmjKVPQXKbjbDpJbMI9ct4l4QuKJt87yiWvqUadKL4FwnM7+QHqwymHRYTZp+K/HlKa21aT9UL57p0WfUYrwBWMY9GrqK9wU51rpHwnxxu6LDJVJ/vpGE3esn8Lx5sF0RLrl8ipe2Kks0naLjk9d20BrzxgWo4Zsl1LSmiiO8sRbZ/jU9dN58q0z9I2EWFifx6NvNmUsiK/vbuWbt9TyubVZqIBcuRd19yEkqUg5Hb0+7BYd37p3PiNjEUoKrLy9r4PtqfLdiC/CL547ztfvnJvepqC3EFtwN8d8Ts4NJJgbdlIm6JiYY0shH7b4IE6rHrVKYMvl1ZRkjU/HJmWZbKeJn0+Yy1i/sISVq7/McGcHCUHLwW5YubAMZ1YWiaREcY6VaRVuDpzup3sgwIxqD2OB8SDjolkm1NOznUZUopDRuF89r5jBkSB7TvRy+dwixoLRNHlfNJbkjT1tfOaGGTy9/SyRaJJNl5UxvcI9KeCZaDqtyEPXNbD/VB8qUWTtwmJ++VxjOgvZureNm66opnsgkCFzqVErZ+2itrNlQh9JkmT2nOihvsLNseZB9Fr1JI1sWc50gNFYkmNnB9OL/6WH7LDqae2ZrM8x4ovS0u0jEk+S5zZz71V1bNvXTluvj7pyN8tnFmDWqjBrVSDLrJxTyOGz433BomxLxoxRvsdEc9cor+4aZ2VdXJ/H1HIXv33pBHNqsinyTIajHjrv5xNXT2HfGSXwu3h/XOxPDY1F8AZiFLn/SRPSF+3ZZ5/lmWeeYXh4mC1btvD888/jdDoZGRlhw4YN/2OdQ1KWiSdlEhIci9dSP9aCtusQZI1y3+IlBF78D4XZVFTTO/2LGd/tGQpmQENBWfg6BwP89xNH0GlUXLeyktm12TgsivCJ2aBm05IyXknxwWvVIvdcWUfrUJRtoyvJOaulLF83SQzEYTUwFlAinlhCYsfBDmZVuQEQZIEPjnVz69pawlFFLCUYTjA0MELZgceVzyz50qTfbtSrkT0VnJ/zRSyaJNm+0+jd+UjnRxV5x7U1dA/407rBR84OUJhtSWsKP3RdA49PmEL2BWNYTFpsZm0abaPTqGio8qRRJKA8LG09PuIJCX8oypm2yYNkXQN+PnPDDNr7/Ewrd1HoMVJTNBt/OI7FoMWoFSnPNbNwWi5GvZq/vnk24/vDYxFe393Kv909l3hcIhRLpI97oo0NDFBy6EfKP6IK7+LPMTCh4T84EiLXYaDQZSQcj7PrmDIHk+00EorE8YfidPX7Kc9WFne/IY+fHOila1C5VgfODrN2Vg3rc8+R7J1AhCeIPHL/AgQBdCohY3FNSvDqrkyG0df3tDGjei6PvKn0u+7YMIWHf7s/I8q9Y8MUjpxR4KNb97axYXFZRhlw6Yx8ch3G9MyBPxjlzo1TefdQJ0NjYRY35GM1aXkiFU0Hw3EOnMqcWWjuGGXp9Hy+dfc8JFnGoFFNKu9NNLVa5HjLMM/uaKYs34YkyfQPhyaVp5RyVn66P1FZZEeSZbZcXoUkwb6Tvei16ozhyEAoTkGWsoi29/kztLovmkad2VMa8UfYvLSCrsEA+W5ThqrdiZYh5tXlpIkZL5peq+Lf/6yU9Aw6Nf9611w2Ly0nGElgM2vJvlQ6VYDP3DCdt/a3IwoipktoWebX5aYFlS7aB409zK3LAaCj38eCunIutdpiG12DYYpyLFhNOopzrMydmkMoEk+hpGIfLvr1D9hHcg5vvvkm999/PytWrEAUx0+40+nkc5/73Md6QP8MEwSB7pEQf32jic6BAAum5ZLttPMfB7NYUHMLIiquOP5mmvIaKYFDe0kaLjCpJq1WCWm8dTSe5Ni5QRbW5/Hiuy3EExJum578LBPfuHMu/lAcu0XHo2+cZsvqaqZVuBkeCzNvShaHmsaHgPI9JtSqTBqL7sEgiaSMWi2g14gsasjnty+dSB+PxajhmzfX4rjsBmRZwpRrYW5VlAPN3vQ2br6imh+8eD79QC2bMYPE4TFG/RFicYlDTf3cvKY6HfWfbR9ly6oqFkzNYWhMuUlDlzjH53ac4zNbptPZH0CWZSwmLQ6LLj2AVpRj4YZVVbR0emlqGyEat5HnNk2aGM5zm2goc9JQ5kyfX4NGlYZiynKKdkMtIiclCnMyh4YubsOoVSOpJFQqFfkeM92DmTV2e24equrLkFQaxPL5HG5REFyJpEQkmlCkM1PXUy2qWFDjZFlRFPNQE0mDnR5tKVGTFjH1ma6RKF2X8Fy9dXSI5WuXoEs5B8GWjcpdjFUIAQIxTEyMY4MpmdZL7aLEqcOiYywQnVSK2dvYS0GWOU2FvXVvG9++bwEjvggWo5YCl46wf5TmZi+CKFCYY+OZ7W1kuSxUFjnIcRn4wyvj2Vf/aIiCLPOkQTKbWYtGGXT4m44BFCRRY8sgsgznUzoYHzZ8FwrHmVHtYXgsTFWRg2ynkR8+cSTjM3OmKFxFF23tghIGvEHK8m2Y9Gruu7KO701oBC9uyJvEFVZf4ebV3Re40O1DkmS+ePMsSvNsnG4dpjzfTl2ZC1mW2X6gA7NBy5bV1Rn0KOFogld2XeD+jVMQhMm/X6dTsXVfO6V5Nq6YW4wsKH3GS+3DdBfiqXL0gDeMzWpiZpWbI81K1uax61nUkM/uxl5OXxhheoWLJTPyM4Kusnwby2fkT9ruP2J/0zl4vV4A/vu/FUIsny8zorXb7Vx33XUf6wH9M2w0GOPQ0RZum55El5TxqcIkLFa+eZUHyduPzmJDPZjFRGxOXugsDeWlHD+vpK+HT/dx4+VVPP7WeNR61dLyNF+MIMDM6ix+++J47fCxrWfYcnkVf36tKY0saaj0kO/Uo0pGsVbasFlNfG7LDFp7fahUAmV5Nh7+baYIyeKGPAxaEVEQCceTNLUNc+vaWlq6vNjMOjx2A/0BGUvveeRYBFNWBfeuKWVl3QhjoSTZ2S6e392dEWntPNrD1++YQ+dAAI1KpLLQikmn4cFr6vH6o1QXO8h3GRGB0mwzggBrF5bwdIqKOhZPkkhKWI06irJJ61D//uVTrJ5XjNWkoaPPz4+ePMq37ptPWb4Nm0mLRqPi8JmB9PlwWnRMr/SkeJz+99dSlqG+3EVhlpnOFLTVZtZyxfxipNQCatQI3Hd1HT99WmmCatUiN62p4S/bO0gkppFIShSOxnFZ9Tz+lpINOa16FtXnpfej06jYMiWK/42fIqPANYsMFkyb/5Wdx3uJJZIZ5GkTD1DIrkJduQDZWYS+tAG59QAj+19CUKmwLd6CXDiThKCUTVxWfVrX+6LZLTrysyw88sACDDo1+y+J6EERH5p4vpKShNWkRUC5DoFgmG/8+VS6Xu6y6vjCtdX8yx8VPOyW1dVpokaA482D3L2pjtYeX/raTKtwUZJjQUIp7WguyXom/XRkKgrsGSWfbIcBjVpMN18BVs4p4uCpXmIJiXcOd7KkIXOR06pFppUrJaRQJMGmJWXMqHCh02axYUEJqtRC/f0HF9E3GsJi1CLJMuc6vXT2+xEFgaUzC7CbdSyYmkuBx8LcKdmM+qNkOQzYzblo1CpausbYsLCUDQtLUIsC732I3nd7r5+4JKP+kHtTEERWzi7i8a1NvJxaB+bUZvGJzfX89c0mguE4KpUwiU7DYtSk+cVkGd7Y08rSWYXUVSjPgdmg4VzXGEPeCHOn5lCYbcuABwNc6B6jfzSMy/zx0Xb/Tecwf/78jMnoiSYIAk1Nk1P1/wkmRfysiO9E3q0wMGZb3VjnbmR0658ACAGGqvkYq+YSalbmC1SNr3DPNf9Bz4ISogkJq0ENKg23r68lHE1i1Klx2fVpb57vMU+KXACOnh1k6cwCdhzsYP7UHK5ZXoFBq6Y0XykTnWgb5UdPjWsTVBc7uPeqaTz2ZhPBSIK5U7PZtCAfVeteop2nYcpqjjUPsvt4DwXZFs62jzLii/C12+cwNuc+JElCsOhRC1BbbUOUovSHVGlq6ol2vnssLc1o0qv5xl3zcNv0mPVqLAYNSUmmczjE0FgEt03PsoYcluWHiPc0I+gtGIqmMCwp0ojhaIK5U3LQaQS27W/HZdPTPRCgJNeCx6oj16YgKwQBvnP/grRwT1G2GUGGwy1DjAViVBXaybIb6BsJMZjab57TgGYCDNVh1PDlW2fR1R8knpQozDKncfAXrdBp5N/umseAN4TNpMOkV3OyZYhDZwYQBMWxv7m3jS2XVyHLSk/hybfP8snN0xABtRRmbO8zmfdR2I+vvZm/vhFDkuHKy8rIchoYmKDJsLA+j66gBnX5FiQpSWn3KeRd4zopI1t/jWvzl8E9BQC7ScO9V9bx0nvnOdM+SkWhjauXVuA0qRFQShTTK9089865jAh0zfwSfvuSstCbDRo+eW0D//7HA2k51i2XV5HjNKapKIZ9UU62erltbQ2HzgxQkmNhw6JSXk0plEmyUt575IGF9A8rcxm5LiNdg0Ge3n6OUCTOpiVlTK9wZQwgZpyfpERVkR23XZ+Gag6MhLhj/RQONvUTDMeoLnaSSErYLAbeTpEStnR5+cwNM9hxqAO3zcAV84rIsRv4wo0zSEoyFoMGKSkhSwoBoJRam5xmLc7U4hiOS5w4P0R5vg1ZlonHk5TmWHDbDUwpc2E3aTjTPoLRoCALZZJ4AxE0KgFNKtovm6CvcNGWzsxHqxIzEUmyAo02JGUGRkPYzDqWzSoEGQ6d6ScSS/D9BxcRjScRBAGDTs3Bpn5OXxihLN/G0hn5GHVqPnPDDLQaEY9Dj9uiJxBOoNao0KugZySEVq0ilpCIxBLpTHKixROTs7J/xAT50lX/f6gNDwf+t2kugMdjYfD0Yfwv/kf6Ndv8K/EdeQs5llmzdG/8NCPb/4Sg0WFZcRcn/Xb+uK2NsUCUVQ0eNi0uIiQb8AaiOCw6kgmJ94/3YDJoMOjV+AKxdCP1ol02PZ8tq6rwh2NYjVr06vHoSxAEvv/EEcoL7ZiNitasPxhjVk02kViCWELCatTiHDmOsO9xNI5sBIubtw3r06yXAFfMLyYcTaT1cKeVu7hn01QsqegkIcN/PXkkTfsASkns+lVVaY54UBa794504w1EmVLipLrYkaG4tfmyYpYNP4vcq0TbotXN6cq7+NXb47ML/3rHLNy9e1CPtJHIr8dQMg21fvJDd9H80QS7T/QpcolJRc6zZyiQQdNx9dJy1i8oQpwARpVkmeFAjGRSwm3Vp8tBH2Yej4XBQT/JFCxSFAQGx5Qhua372pEkmVy3iZtW16DXqRgcDVGXp0V87VskA5mRpH75XbwXKEeSlQAq22GgZyhEU+swC+rz8Nj1/PipY4SjCWZUOrlP/wax7kwhHlPdMjRL7iKZlBj0KyRuG5aUodeqiMUl3tjTyu3rppA7gVitZzTM2wc6CITjrJ5XTGm2GV8oji8Uw2038F9PHMlgSwW4ZU1NRnN0SX02915VTziSQKsSiCYkOgaDdA8EyHWZKMo2o1eLaZht51CIf/vdvoxtfvKaemZXuXG7lXN6qQ34onT0+xnxRxGBbJeRzv4AOo0Kf+pYR8bCFOVY6RsOodWIGHRq5tZ40KZ6BtGExIkLI/z1zSbCkQQbFpeyclZBxsS3BPSNhukdCmIxashxmThwup9EUkJG4WgSBCXyN+o1xBNJ8jwKfbgiICRw7fJKZlS5yU4FLnFJ5sCZAZ5IsQKvnF3ApsVlmCZwlY2G4vzmxRM0d3oxGzTcsraW/uEgL++6gIBCJ5+fZWZmpYehsTAGvZpv/Hov9ZVuyvPtdA8GONTUz10bp+D1x9IL/+al5Zh1ajweCwODfk62jfLLFxqJxpLMrPZgNmrTzzcojfv/fHAhTtNHzxxEUcDl+pBs9+I2P8pGIpEI27ZtY2RkJCOD+J9K2a1KpEo/Gj0qgwVBrZ3kGABigoauBV8CQYUFPVsPtnLXIitqOUbLmMC2Qz1sXl6J06Sc4NFgnENN/fSNhBAF+MLNszJUr3QaFfOn5fKtP+6jfySM3azjy7fMIsc+HkWvmlfMSztbyHGZFM6bPAuHmvp5Y08rkqwQzD14dT1ttQ4au6LU223kmE1sXl7BoaZ+shxGinKs/O6l8XLWifPD7DnRlx60Ugtw/1XT+PPrpzlxfphsh4HNKyp5bkdmo8wbiGHQqfEGojRUeXjq7czG74u72pm9fhmmlHOQfEOU6TMXz1c+uMD95tPEO07A+f2oIxtRzdxMUhpfvMNxib6RECpRQKtVse9Eb1rV66bVCn59or30/nkW1OWkYZmheJJn32nhvdTDUl3s4BNXT8NmVJOUFBqLDwscVALpbQz5ohkwXbNBw+m24XSDsqLQxpdmrCf5wWMTNqCmX/akHarZoAyw5bpNjPoiZNn1/P6VU+myjDcQJ+HKAjKdg9qelX6u/KEY7X1+DjcNkJ9lpm84yIVuH75gFItBjUoUMWpV5DkM3LtxKoIgE40m0z0wlSgQjiUmOQZQ5gsm2qzaXP7jr4foGw5x+ZxClk7PpyLHQkWqhyMBXcNBTrYMYTVrcdqM6DSqDLj2a7tbmVHpTv8vAb2jYXqHg1iNWpKSxC+fHx/l/vT10/ngWDd9E8pm91+t3IsX+2xbLq9CQAkOADoHgxmsui/sPI/FqGVZg0JuJwgCJ1tH2H2klTkletoHoHvInm6uK/uoRyXC3pO9jPoiPLC5nj++eirdu5EkmefePUdduQu1WkxfjyV1OUyvcCu9PIOGiXW0pAx/ev10Wts5EI7zmxcbuWVNbfp+e+eQot3wzd/vYywYY+nMfOrKXTSeG5dxVbSjVby4swWTQcP6RaUMB6IkJQj0jCElJX7yzLH0NofGIiyZno8gCBxq6ifHaWTlnKJJDfh/1D6Sc/j85z9PX18fVVVV/0sRlP8Te+edd/j5z39OOBxm0aJFfOMb32DPnj1897vfJRqNsnbt2v+rje6owYNr3QMIgogUDqDNKkGbW0Gsdzz6FtRaRrHxveda0GtVfPXaCu4pbIZ9bwMyebZshmbcRSAUZ8AXwWXV8fjbZ9M3vSTDz545xme3zKCtz68I32tUdPT5uHJpBV5/FJ1GxRt7W7l2RSVeXxSHVUcwFOOyGQXsO6WQu5Xl2fjRBAnMsjwbT+5oSesKHDw7TF25i6Uz8lm7oAStRqTnksYrwMGmftbOK0SjUZFIJHEYNXzmugaCkQQ6rYpjLUMZ7LCg0GO/l5oyNhk0qESRRQ15ZDuNDIyE2N3YQzipYiJ4TiXFMlAy8YSMrBq/zQJtJwkXr6ZzOIbVrMVt0/O9Rw+lhevvWD8lQ+4xmdKdnmhyasr14sJ+vnuM2jIXs2uzkSRFnH7AG+aVD/o41+llcX0uC+py0vQaFy0UT9I7HEKlElGrhIya+6zabJ6e4AwrChy82a/lsvm3Y2h9n6TRiWraWn78wnj9P5CagB4cDdHUNoorNdV90Vp7/QzPX4Cz9aACmQZEgwVd+Wx6AjEisSTZThMPXD2NN/a2sbuxh6JsC/dcORWjQcNnf/w+ZqOWO9ZPoSDLzLHmbmKJJNPK3QQjCXoGA8QSUoo62jgJFZTvMaJVi6hUItetqKC7b5SNUzRoZD0dQT/HWoYoybUy5I3gtukIhGL852PjjWGbWcvVy8rTpUdQ+iFiak0QRWjq8NLSOYZWo2LUF8UXiHL9qso0kEUU5AzHAPD09mZuWl3NiD/KkDfMu4c6FYCGN4xeoyKUYhNY1JCHRqXiyNkBdhzqZHF9LpIEiWQSQ2SQO0zvkzh0DJXFhTz/Vna4DPQMK+ffbdfzH38+kL6+Q2ORjIlyUBzEWCDKL3a34rLpuWx6Ptk2/XimIMuE40k6B4IM+SJkO4xpqPfEezORkLhifjGyrCCtjjYPkOU0MhaM8d6Rbu7aOJWyPBvHzg0ytdTJ1DIXP3ryKElJxheMcaF7jGg8ySvvnyeRlJlZ7eGa5RUcPjNAnsdEWZ6NXzzXyOzaLO69so6hsTB/ef0UD2yup6HUycdlH8k5nDt3jrfeeisDqfT3WmdnJw8//DDPPvssLpeL22+/nffee4+HH36YRx99lNzcXO6//37ee+89li5d+g/v78NMo9UQaj5EuOWQ8oKgIvv6rzB68E1iF44iOvMJNtzA2UGlxhuNJ8lXjxA6tS29DWmsn6z2bZzlWn7yQhPXLq+grcfHDauqACXNa+0d40K3j3cOdaBWi5Tk2hCQ2ZuijDDq1Xz+ppkcbVbU5YqyzahUIo+nMPsqUaC2JPNil+RZ2T2hNABw8vwwc2qz01j/NQuK04yUF4/lmuUVvLb7Amc6fSyZls20cg82wY8+PISIhbpiJzetrmbHoU60GhWbl5Xz5t52bGYtJr0Gt03PvVfW8druVt470kVhtoV7NtXhDo0rZyGqGFF5kORxOOj6aUYS+08h6IyIai0t5Vv48W/Gm2kL63MpzbPRPxJGECaL/fjDcRoq3dSVu9OEcCfOD2HQqWju8aVkQg28sLMlPThXnGPhtnVT0kiTJ9/20zUQ4I61NelC1EgozvcePZQGEJTmWtm8rCI9bS5f4pRCkTgnu8NsO65ietlVCDE16kaJEV8mpUhbr4/ZNVk0tY0ymEL8TGw+/ve2Ub5zw9eJ97eBIJK0F7LtXJLHt+5WFvZcKzevqUlj7jv6/Ty+9QzXLKtAkhXI8JPbznLXpqm09vqIxBIU5Vho6/XxwrtKhmU2qPn0DTP57ycOp7H+G5eUUpxr4UefvQwB8I+NoW/eBfu2AjJ5Zges/Ayf/u0pJFkhlLsUUj0WiCmT/Kn5CFGAa5aWpT2qP5LEH0oQ9Psp8AgMB6G2NJ9AKI43GFP6A4nJOhKhFPndM9ubKfCYuWtTHd/63b40/1hZnpXb10/l588eIxpPsnxWAQun5dLSPUYwksBp0ZEndZNoPwZA0j8M23/KXUu+xHdeUq7v8FjmAGo0lszI6kF5TroHA+nnZsfBTr5z/4J0kzcuyTz21tn08wuwaUkZw2ORNCkgQI7byNZ9bQiCwp1lNmh4cUJ5+Y+vnuLb982nfyREXbmLP712WtH7cJuIxBJUFNp5fMIzfuTsYJo88VjzEDOrs7h2RQU9Q0F+8+IJsp1Gbl035f+dzMHlcpFIJCbpOvw99vbbb7Nu3TpychRc749+9CPa29spLi6msFCh5t24cSNbt279v+YcdME+fBcdA4CcZPCVn6G78hs0OVbTMZLgzL4oy2YpJ1sliuCfPJyW7GlixKyUUdr7/NyypobfvnQi/UBOr/IwpdSBNxAhnpCZMyUro6a/dkEJbb2+tGrZilkFdA+O04AnJRnDJdFuji0TN33RnKbxOujWve3ce2Vd+iZXEFKnGEw1BU+eH2b9/ELWS9uItxwEQcS+7GZWz7yMWTVZiIISWV29tJxTrcOMBWKYjRp+9UJjeoahs9/P42+d4ZHrqxBtHgSTC3HW1UQSWcyuVQaQ1s0vIidygbZZn2UwKFOYa2ffycwm/Z7GXm6+ooZ9J/sUeKpWlRHBnz4/xMo5RfzxtXHakdvW1RKPhvnPvx7FbtZyzYrKjInq9j4/h5r6uG2dQkFx4vwwHzT2cPXScuxGDbIss/NwV4aaXGuvjwX1uWlq82g8icdhSH9m/6k+br6ihj++eoo9p4cRBbhlbe2k6zCzKitdHvngeA93bJjCC++2MDymUJRftbScn7zVw/luxQl+/iYbf3rtSMZxvLm3jSvmF/PWvnZAaXZOhICuX1zKfz12ON2QPnp2kNvW1aZRQNOrs3hl13k2LSkHATQqkcNn+1k4LQ+rVbl/tIkBgifeTG8zGRhFdfApFtau4YPTI+i1KkKRyQu5WSdy98pcQtEk1Y4E+cHTCB5lEDCWkMhVeZkaew3p4BmqTXaM5Xfx4+MJGi94AfjuHbWT0ErLZhWyI+XIs11GXtiZqYl+ocdH14CfaDyJJMnsONiJy2rgaPMA5zq9lOZZuX75dArz9pHsST1fskSBbtwpG3WZz807hzq4+YoaHn/rjNJM1qm5aXU1r6QoWkAJCps7vXisBmJSEqNek+EYQJnRuGZ5BU+nnMO8qTkgk6Zqf2Z7Mw9d25BBt1Fb4kSvU7P/VB8NlR5mVmeR6zbT1jOGy2b4UJ2Ug0391JQ46RkKcuh0P4IAuxuVCfm2Xh9/fu0037zn45VR+JvO4U9/UtA7Ho+HW2+9lZUrV6LRjJ/kv6fn0N7ejkaj4YEHHqC3t5dly5ZRWVmJx+NJfyYrK4v+/slwvb9lf6uxcqklI5M5YqSwHx0xGvsgy2llZrVILDUAlkhKDCUtXCrtosqt5lSXsuDazFre3NuWMZV5rHmQ5bMK0pQDO490ctfGqenewJRSZwae22zUotdl9j4u9IyxYlYB7xxWyjseTZjaQgtNneORytQiKw5V5m8KxxLcuLoaGUVNa/ASYq83D3Rx+c1XILQcBFnC++6j5BVPxVVcCUC8bZiX3jtPaa4Ns0FDMJKYRCXtC8boSjo55b6NcFygJuTi2Nl+AuE4GpUKrVbF73eLnG67+ED1c9XScnJdJnqHx52gTqtSoJRAV7+fT18/nWe2n2PEH2FTivZiYtT3+NYzfOuO6YDCsd9+SYQLCkfPNJWbN/e0Masmi09fPwOjQYvHYyYSS0zikQKFyuQ/H1qM1x9TqMAdRvY09nCmfZSyPBtmo4Z/uWMOJ88Po9eqqSiws3FJGdv2tRNPSiysz6WyyE5TarAvkZRw2w1ct6KSUX8Uo16N06bP0Hjw+if3uo6fG+RzN85MOwdBGNfasFt09A2HJmHl957opb7CrZQe3GY+ONaT5iu6aKO+KHXlSn9gtNPLpVppyd5mamdcyQenFRLCpTMLMvo9KlGgPNuA+bVvI4giUjRExF1IVq2yKJnUSXRnnifZowQ7yaAX/2s/Zt2Cz9OYWnOT/hH+9cpsXjgWps8bY/n0HEaDyXR25bJ9uLhPKBJHp1GlS0G7G3sozbdyrtNLa4+Px7ad4/NrbkDd8+30d0SDmX+9ewqiIJBISFQXOdLMphchvZ/ZMoPmdi8eh4F3DnVkBAwAkXiSlh4vkViS4tzJQIpEUqIwW5nfUatFznV66b5Ehe5AUx8VhXbOto+S7zFzxfxiRlOkjslkkpoSJz99+higZC/XrqyctJ+ibEta3a4gy8Jz72T2rRJJib6RIA1Vnknf/XvtbzqH5mblAMxmM2azmdbW1r/18Y9kyWSSQ4cO8eijj2I0GvnEJz6BXq/P6GVcbDL9n9j/CVpJsOeAqAJpfCHXFVTTGTHSOdDH8XODBCMJHrymnsUpoRNtrgfVlFUkT28HQLS4Uc3aTOMflYenrtydgR64aBMlMY16DWaDBkmWOXxmAI1aZN3C0vTEZHu/j8UN+TS2DKUXw8NnBvjSLbMozLEQiSZRC3HurvNzrDSbI51xZhVqmG7qo3s0k3RLQODJbcpDeuPq6knHJQCi1pBBIxAZHcCvVTI6XyCKLJPG/d+2rvZDifdkGV47OIhGLVJekp1B+LdmfmGGHjbAm3va2LikLP2b1SoBrUbkjykx+YX1ueg1AjUlTmxmLb5QLE1ffdGSkszAmPJwdw74mTM1B+jM+MzUMhd5bhPXrKhEp1Fxum2YaWUOBgf92B1Gple6aenyZnynqsiBVafGpBZp6fPzu5dPML3Kw8YlZXT0+fj5M8f40i2zKcm1oNMqaJtclzH9MGvVIs0dXhbU5RCLJ1k4LZdXdl3I0O9Qq0SuX1WZziBNhsnZeHGulcHRcWd/9bIKjpxJlepkJvEOKddi/LWxQHSSwiAo5aaLiCKdxc2lpsqr5lTPOFlfIBTnro1T2ba/HZtZx4K6XILBEKZ4FDl158hmpd+hM4FZDjLcfQm8XZawS+Pn+bkjIe6b6uVe+xmSuQ6SHjNf2jl+fk5dGGZ2bXaapuSi2S36jB5BjsvI0ITf1z0YICAXYE+fxJn4ddmUOpSO2OlOL0U5FmbXZpNISmg1KvY09uJxGthxsBOjXs1VS8tpmnC/6jQKrfqjKaDGbetqJ3ErVRTY2XeyN4OqpLIwfRQAZDtMTK/0ML3Sg0at9LeGx8JMKXWS7TJlIMgSSQmXVU9NsSMdwNjMWlbPL+aRPymw+nA0gdk4WdnQqFd/KGLsf2X/EFrpu99VhFq2b9/OqlWrMt576aWXPvJBTDS3282CBQtwOpVa+qpVq9i6dWsGy+vg4CBZWVl/1/Y/io1hw7bhMwR2/pWkbwhdcR2qOdfz7M7udO2wMNuMyaDBYdGhVosMhFXs8dazfvVctCQ4OaJm59ZBFtXn8t5RBe7ZUOmZJJPomMCUuGFRKb99aVzO8I09bcyuzaK+wk1jyxCnzg+zuCGPO9ZPoXswgEatwmM3kEzKxOISiaREZ8TEVDHC/NbfsdiZR6K1G930tTzVrDg6QYB1C0vTERIoUVe2w5BWTgNYO8uDU/YyMbYUza7x70STGUyfu451c+Vl5RlQ1g2Ly9J/ZzmMnG7NjFTlDxnnj8aTuFJQQY/DkE7tL9qexl5mFhtZlh8kFA/idrkyJBJBeQh6RpVFTKtRIYoCs2qyOJxaQMvzbRTnWvnVBJTMdSsr8QZiOE1aBEHJpmbXZnOoqR9RgMtmFGSwtLpsBnJcJo6eHUyXrDwOAx6HAadRiSAb20Z5/K2zLJiWi1aj4sCpXpbPKqTAZeTmVZWM+GMZjgHGJR/VqSa43axlfl0O+yb0oW5cXY1WLfLZG6aT7TLhMmtZWJdDz1AQnUaF2ahl695MkriNS8p4KhUMDI6EuO/qafzg0UPp8symJWVkT9BQSFrzsS64Gt/elwAZlcWJZsGN9L6mnMOCLDOleVbsZoWqIRCO88dXT3LrsjyyNVqloa5So5+1kaSUqnVr9KjMdpIBb+Y1Fw2AspAda/Vzbt4sZk2xIflHEIxwy5pa/vy60i/rHgxww+VVJBNJ3jvajcmg4aYrajg5YS7HoFMzoyqL379yMuM1jcFIdMHdREUDF8I2Zplt6fcLPWa27W9PU9urRIHPbpnJz587BkAoksBi0PKVW2fxzqEuXDY9DVWejHtIEBT03O7GHtp6fUwrd7NuYQn//odxeO/cKdkZgBCjXs3sKVmcbR9FpRLQalQMjIZ56b3zFGZbOH5uiPgEFJlaJTDsi5DrNjOzJgtJVqandx/vobzAxvmuMd4/1sX1qyr5/cvjWt1VRQ6Ksz569eSj2N90Du+88w6JRILvf//7yLKchnclEgl+9rOfcdVVV/0f73D58uV85StfwefzYTKZ2LVrF2vWrOG3v/0t7e3tFBQU8Nprr3HNNdf8XT/oo5jdpKF91IJv9qewaiXawipyRQeFrigLrihgMCRTWZrH9x89mI6Uy/KsXLW0gl/vbMEfijGnNpvaUifLZxawYlYBTque4mwLY8EYzR2j6LQqNi4uy4h2BIFJCIlDTQM8cPVUGluGyLLrydEEUTkcaRSI06qjcyDAoDecog028ba/kulzCrHJfsbKLbzYGOPa1TVsvEyhwBZFkR2HOlGJApIsMzoW5vMb8jna6qNlMMncYg0VkRNI3hQPv6jGsfJ2EqZxhl3/JVFJa48Pq0nLl2+dRUefH4dFj06roitF+zw8Fs6YKAawmXUY9eoMmo2GSg+F2RZuuqI6RcEsZ2gdA5zsCnN94Fniw92IejNfXP8Zfvb2IMNjEZxWPZ+8toFt+9sAJTPTp9AkF8toU0ocPHwJHv/VXReYM0X5fWqVCodFTyyRTA+9HTk7wGXT89LsqIl4gk9srufVDy5wtn2UygI7m5aWE4klODkYQK9RUZZn4da1NfiCyhDcpiXl1Je70hBMjVqcFGkC5FpFfniVCQToicaoLnGyqD6PcDSBxaTl2e1n+cz1MyjNtmC3Gxkc9OM0accx7AJ8+775vH+0m0A4zopZBRR5FFqWaCyJSa9GJcD3PrmIgdEwFqMWj02XIcqTEPXIdesxF80mGQ0hWLP42p9OUl3sYs6UHPpHQjz+1hkeum56RjZYXJyDYL8DQYqhzSol6ShMLyJxlQnH6nsZevGHaYVEXc0i+nEhCGMIgsCK2QqTsFA+E1U8SlxtYpFHpqLAxsBoGLdNT7Y8QFn0eTasXYAY96Eb2YZn9kZK820kJInyPFuKinvc7lg/BUnU0qyqxmbWMqvSkpbhBEV86N5NdXQMBAhG4hR4zOTY9DycGox0WfVk2w2oRYGpKV2QV/a0ZUTn4WiSR99oYnpVFitmF9Lc4eV3L5/gq3fMpX84hF6npqPXx7RKN6V5tnTv7L2j3ZRkW/AGohRlWfjPR5V+56kLw7T3+ti4pIwnt50l26lAhUfGwrx7ODMTznYauX1dLYfODJDjMjLsjfCNu+YxMBLEatJRkmPOmPv4OOxvOoempib27dvH8PAwf/3rOMmwWq3mjjvu+Lt22NDQwD333MNNN91EPB5n0aJF3HjjjZSVlfGpT32KaDTK0qVLWbNmzd+1/Y9iUdFEcb4Twj6kRJLSLDUJOcIG8X1ixw+idhejqd6C2ajBF1Qe7MtmFhAa7OaTM8Ook2G8WjNtcScOkwajVoVWLaBVG7ltTRU9I2FMOjU5LhPtfX7qKxSkTY5rMmOiXquiSt3HD9eLqP1tSIMjbG+rYeu+DjRqketXVZHtMNDcPoJWo0aWJcodMs7hRqSukzgLp7GqbjY6jYpsmy5djloyPZfiXEW3d3qRluSL32RpbgXLqipInvkAbX4VmsqFuHOqQGcmrnchyQIqtQiyjPVDhmkuli50WhWHz/Rz4HQ/37xnPjesqsRpM1CeZ+V06zAnUzDbtv5gutncNeCnodJDltNIY8sQz6Q0d406FQ9c00DPUBABaO/zUZRjQU6BO6RIgFKxl+/ct5hAOIFJr0aWZVbMKmT9ojIkWUavEZldm80Tb50hFpfIvaZ+Evw1EktmZAY1hTai8SQv7GxBoxK54fIqCj3j18ek1/D7Z49zw+VVbFhUSlKSefSNU1w+t4QRX4RILEnPcJCzHd50hlWaa2Va2Xj2ZdaruXvjVH46QeNiVrUbx/mt0KSUJ52L7ucn22IZvapb19ZwsnWY94/2MKs2i5mVHgxaFSOBGFq1iN2kIcem5+bLKxFEkVg0gQwEQzH8wQgIRqx6DRaDBhnQp8ojGWidhMRTO86nZ0OyncPcsbGOXz13nN2Niq7yTVdUMxaIpK/5TaurKci24bfOJpGU0Jm1qDPKwRDPmoLjpkdIjvYhGMwM4mbPzk5uWKU44TPtI0wpdZIUtCRENUigEgTyHAbyHAa0QgzfC38kOdiBOsVHFQcqi2vJnTodSZYJRJQ5jrs3TSWZlBFFZQr/U9c1sHDK/7riYNKqqC2wpYcgAXLs+vScESiDqNF4ElEQqK9w8/y7LenzplGLyCiBxJFU39tq0tLc4eWZ7c2oVQIPXTedI2cG2HFQyVBWzimiutDO3JosIvEkkZiiL7Jkej6xFPpOJQp86ZZZHD07iNWkoTjXNokafVq5m92NvZztGGHnkSgLp+WSZddRljV5Tfm47CNNSD/++OPcfPPN/9cO4uOw/5Oew/CQD81gE6Pbfksy4MU6dyPR3vMKHUXKBK2ewMqv8S+Pn0clCjxycyXmD35KcuwiTFPAtOmLHAlkEwjFMek11BWbsY2eIRmLIqhUqI1WQrZSRkJK1mXUq/n5c42cndAMvWt9DQvDOwke346usJYD+Tfxx9czh82+ettsirLNSBI4NFG8L/wHiaHxyELtKcK+7tMEulsQtQbUnhLQ20nIMiCjEQUGRwO8+H4b53sDLJmWxfIZuSTQMDQWwWLSYDdp6ejz8ca+Dgw6FctnFRFLSHQN+EkmFRK98nwbB0/3c7pNISorz7dRX+pEJQq43WYGB/1oYqMkBtuRpSSjtmq+8puDTClzkeM00tQ2ikoUKMqxpPszN66u5ljzAIUONbGEhC8mcvWyCgp73iHh7UNXNA1/Vj2nO4Ocbh2httRJntvEB8d72HmkC7tZxy1rqnHZjQx5lUZtttPIw7/bl5GRTC118bkt9SQT4HIZ8XkV6GwsqXASqS/pcQmCMoX8i2cb6RkOkuM0cv/V03j1g1aOnB3AZtZy3cqqDPIzgCuXlLFqbiG+QAy7WYdeI6aGwkLYTBpyR44g7f5z+vOiwYx6w9eJjI2QjATRe/I5M6rFopVBlhBEFXE07DnRS7bLRDAUozDHSkmOmbMdY0iSMtcQDMX4ybONSJJyn339jjk8/tZZTreOYLfoeOCqaVQVjCvBne/388ifMvl5ple6uXJpBR19Plw2A0VZJqUM4o2g1YjYjBpe29POm6mBzPoKN3dvmIJFr0zyDg356R4Ns/u4gu3PdZlYObeIREIZchRQZgkKssxMLbJ/6POplcN4n/5Xkr5MehfL8jugchkALb1+vv/YIeZOzSHPbeZs+ygnzg/x/U8uwmPVTQoMLrWJzmGiRRISx1qGeH13G3aLlhsvryEcS/D022cJhOPcuLpa0Yp4VYH7atUiX7x5FkVZZoZ8EUx6NWc6vPxmAp8aKAzGM8td6ftqb9MAv3v5JLKs9DXuvaoug6J9xawCNBoV2/a3I8tKX+PODVM4dKaf7sEgJblWCrPN1Jc6iMQkZUbn7+C5+FgmpK+++mpefPFFxsbG/n8xIa0N9zH44n+lU19Rq8twDAByLIJdGmVmpZN4QsaT7CMwNo7fF/UmekJ6nn+nhf6REAUeM7OcLkbe/FV6wElXNhPb4usQzbkAjARjXLW0nK7+AGPBKLkuE7luI1rLasTi6Yj2XN59OnMaGJRIpbPfT+9QkOumCRmOASAx2EFipJtIXzuq8CjR/lb6ClZxpn2UeCLJ7Nps/vOvR9Pljefea6N3NMLUMjfegDK0Vppt4tj5UaqKnQgoUoTbDnSk+aFUosAnr2ugqXWYvpEQzR1eKgrsVBXa00NC+tgQI89/V8GZAzpXIZ+/4TPsP9mHiQjF2SamlnvoHQpy/aoqzIb/h723jo/jvvP/nzOzzLtiZkuWzAwxJHEcB2yHmRrstdcr3PWucE25TeGu3GubYqDhpAEHHMexHcfMLNmyLGbtrrS8OzO/P2Y10loOuM3R937vxyOPR7zaHZ7PG1+vlxELce5rCGJpXI8qmYg1rGYkJbM+PoOeSIT5Uh6nDvbzTLqBvXFvOzNrczEbRaLxFNF4ir5AjJ88dUCvr7sdJr5wxxwef/0ErT0jzKvP5+rllazb1sbWg12UFbi4/sJqCjxGHMkhBEEkYfGiKJlRcIHHyoN3zyUcS2G1GnlqQxP7GvtwpanJR0nZrGYDkigQiibZ39TP4EiMrQe68Lks/NMtsyj0WinJtiMAscbjjG8T26pmI+99GvH0fkRAzC3DN+8f+NGzxxiJJLFbDPzLbTOxmA288s5pXA4T0yfl0NYb4t1DXcTiKZKpIgpz7BhEgYSiMrUqm0dePaH3nQIjcb7/WKYSXHBk4rjkoeZBPnZFA66KLKwmiXhK4XuP7aOlK4jRIHLPmims07U34NCpATYf6GLNIk0DIyErvLb9DO8e1DKpnsEIJ1r9fP622fzs6QOIosBVy6qoOouzKKWodA9FCISTOCwG8hZ/DF77wdgXBJGkpwxTukxTkG3jnjVTWL+zlR1Hephalc0nr5uOrKq8ubeTHI+VqiLXBNDj+5kgCOxt7Od3L2t1/M5+ePDh7XzngYV84bbZaaJBEUVVqSv1MhxOkOWy4LYZQIBslxmHzcTvXp4o6brjSA8LJueRSKQIRlP8ad3xcWDLXF5+53TG9zfu7eBTN0xnek0OKVkhmZQJhON4HGZyvDYSCZl4IsXL29rYvL+DohwH111UQ5HXOoED72+xD3X1vvCFL9DR0fGRIaT/u00Z0qJWqWIOKVchGMwIRrO+qI+ayyJyn/VVVJMdEtMz/paYupbvvdylL7g1+WZiWx/P2Eb89D6SU5fTHnIjKwqqIPCDxzTQmNWkjXr+23VZBJ74EWoyjiG3kvK86yaIjuR6bYSiCaIJmVPRLErLZkPr3ozv+BU73zpUQpazipun1fFvj+3T+xs2y8S697bDPcyvz+PtvX0UZtvwuiwcaR4kx2slmVKYMzk3gzhQVlT+sqmZf7kyh2TzKeKOYo7HnHQNhjndGcTntjLJFUOIjmAonQqSCbWvmRnmTqqMb5PsPoN10nySBRfzzFtdDA3HWDStgJuqAqib/8jo0cnxKP/+5AG91rtxr1aSyM+y4bSZ6B4Is7+xj5tX1rLjSA9ep5neIQ3lvHSqxq4ZGIlxpHmQXK+NqdU5nGr309o9wvpdbYSjSfoDUepzwSfsJXJ4EwgiznlXYpyykphgJSVrpSotshNRVAOoMOCPcucV9fQNRbBZDNSX+1hULJObaEeU4wTsFTRFPWw92I0oaOR9Ww91ManUy65jPVQVupk76xZo3odotoKiYMwqJBSOEFj098RkkezSCv7jqeM6OMvlMLP1cB9v7dYCgoFAjD5/lD+OEzd6+q0mbltVx5z6fLYd0pzfzqOZo46jSnBum9aQzxnXnB61WbU5PLb+BLuP9TKlMguf20JLWjPd4zRnZLyjtvNoDwum5HOsvROv08z2Q5lypdF4Cv9wjH//hyUIAjgtRmIpmTN9ISKxFEW5doZ6+7GH2igb6SDhKKDLWkLRqs9iOrMdWTCiVl/AoCmf/PS6p8gqj7w6xmx88GQ/oWiC4hyHXiarLHTxjzfPwmr8cMCwRErhpa2nmV2XS02Jh5SsSa82tQfIdecjilp/TEBzBD6HCUkUGI6meHtfB5v3dzKlKovyApdeVh21+Q15nOwMEo4mcacp7PsDUUQBjUwvOXFwIxRJku2yklJUzE4z3/rDLmRFK/eW5TvwuWxsSJeu+v1RjrcM8c0HFpL9X8XKOmonTpzg1VdfxWD48J74f7JJNifDy/+Jp/dGaWuMsmpWDpctupbg5j/r3zFXziDWtINExwkQDdCwEgRRzzb8oodwdCw1Lc82ohztmLizSICvPqU1Rz953XTm1edTVewmmVJYUmMjsu6bukNJ9Z1m5fIku06MLeZ5PhvFeQ4e+pPWxNp+uJtPXnkldX2NKFGtGWyqXcyLxxLMnazJTe463pfR+M5yTgTOGSWR4iwrTpuJmZNyGRqOsWxWEbuO9WI2iecMAvoDUZJtRxEOrcNqspK16It8549jpYksl5nPXvtdntnSRiyp8JlL1zCw7nuocW0sM7TvDczBAS5oWElKNJHvNmE89RfGx7AdYiHD4TMZ+31zVxt3XF7H5n2drJinRamjuhkGScTrMnHXlfW8/M5p4gmZKxZX0NTmZ9u4aauOvhDLZxWz7t0WXHYTMy3thGQf/fM/hYiKGm7G3X2CdwYKkFUVl02r/b64+RRHW4ZYu7SSRdMLefgvY2Wk+qsKKNzzc/38vILIiqu/SGl+HZFYCkXV6Bh+nGbZ3Xaom93lHm6/+kccPdWLQRKZlufl1eZ8Nr6iLSh26xFuWVnL718+iqyoTK/JYfvhsYZwltuSgbgeta0HuzQAFpBIynic5owxatBq5lv3NKGqkFOQx1fvmIri70KSY0SMPsJGL6c7h7nh4knkZ9syHFBwJH5Oh1Jd4uaXzx3iTPcwVy+vxmwyTBi6sJoNONOSrNGkzO9fOcae9GTZp6+rp6pnA+qxjQCYgbI5azHmVxGXVVSbnZ5giqiSpMhnRxCgeygyYR/NHUGWzijSncPprmF6/VEKs6wIgoDpA+jFRUlgzZJKdh3t5ck3mzAZRFYtLCfHm4lu8oeTbNjTxvEzfi5fWMaJ1gAb083jLfs7ueuK+gzBq8sXaTKpu9NSqQZJ4BPXaqC4UDSJ22GiusSTUZ6URIHqYg8FHgs5OU6a2/1cOr8Mi9mgCzN98/c7M44rnpRp7w2R7fgvps8YRTP/v2L9Qg7ffvkwLruJohwHL+3sRVpUwaprv0ygux2zOwvLcDuBd5/VfqCk8IdVTMs/hfXIixAJYPflIgoj+jTTrtMRZpXNRm3O1F6Q7B4umadxsBTl2tlzXNWh8csrakiexfJp3/Yr/vWGr3CwW6MnCEdTHG8ZyoD6P7W1m3+96p8QmrejZJWTKKiF/X52H++hosCFx5mJeSi2xakptHOyawycc/2iXOxChH2NfZhMIvXlWfz+5bHRuJmTJjb2Lpzqxdi6gRRAzVIe35wpQzk4HOdYV0zXvBAikr5wjlq8eS8XrV3Ll59sZdn0AkSbO+PvKePEGmhKVmhqD7K/qZ/9Tf1MLvdy/cWTMBslBodjlOW5eWgcv/0f1x3jxhWTsDb164uIfySO3aI5ybpiJ4rbw/ffHKbXrx1rdUEZf19gZu+JPo6dGWTh1AJSikq2x8aqhS7cDnMGM6zLbsIXOpV5fqpCdO8rJGpv54XNLUypzKK+wpeh73zBtGK+8tvden/sdoOFjYfGIs1wNMmmfR3Mrc9jx5EegqE4WW6rvtjEE/IE1Dxok2HNnQFAIwC8Z3UDP3pin/583n9ZORXD+yg+/RKCaEDMvgpzKMDIuxoNuc9kxXrlP/P0hl76A1EWNORTU+LRx4MTKYVILMmUqiwdXJftsVBe4GbzPm1BfvdgJ5cvKtcpSECjMinPdzIUSoAAsXhSdwwA5fYY6rG39X8LZhtWmxX/K/+uf5Zt3ITl6q/w+AZNBOvC2SUTzt9slCjJGxN9mjs5j87+EL98/iCiIHDjiklMrfBhkATC0SSCIGSUYAwCdPaFONw8oJ/vS++cZsq4AYNoUuapjU1MKvEyr0ErI52tZPjE+kY+fdNMfSQ+12vNIHRMySrPvHWS+kqfng3eemktH79mqv5+O21GhoZjOguv1STR3BXUr7vDasRqNkyoBkgf7bDSh3MOkyZN4o477mDJkiVYLGMLz//WnkOXP8H1F0+idyhM10CYKxZX0DsSpznh5Y0zSTxWiTWJTDCPo+k1jhZfQ6v9Wpw+AaVd5tZLqnl0vfYiHG0dRr34MszxAPGO4wgmC+45lxMTrRxo6teU4DzWDKKuMDYsnjyUwBg2Qk3ECA4O8eT6sRfoojklOKwm/eGRZZU3mmR2HyvDZjawYGqYXJ+NJTOKMBslygvdvLWnXV+AUoMdfLwhwOmppfQEVWqyIb9nC6HQ5YDWWBsfnYIWBX38mqk8veEkwVCcC2cVcnF2G6nTWiqrmGwTlOBAoxpZtaAMo0HC7kgSP+vvgsGE0ag92F2DUSJzLkRs3psGJArkZjkwm6SMZvJFc0oyAIbHz/hJyQrXXVRDtsfCoZMTqU32HNdKI6O4kzyfjUB68iahwJZ2I73+MXTyqe4Qh4N59Ae6UFWNYmROXR7vHOwkMBJnzdJKwuPoJMxGCTExEWkvxIdpaffT3jtCe+8Iff4IVy+r5j+eP0RNiYf9TX0ZgxPjGU5H7XRnkGnVGkht74k+PnvjdH74Z42YLRRNku+zZYzIiqLAkhmF1DjCXFEeIas2i9+va+SWS+tIpBQsJolp1lZib/9xbCcbf4N9+a16NqwmosS3PsrU0rVsDETZcbSH+66aQnNnUM9AugfCXH9RDdPSLKXFuU49KwLo80dp7gzyhTvm0NQeIN9no7rYzZ/fbGLrwS4EAS6cXcwl80p1vEEqEcc0Doppr57NyOHNGddDTcYItTXy9l6NdkNWVBZPL9B7GwBrllbq19VoEJlU6tH7BwA/e+Yg/3TrbLYc6KCrP8zFc0uYV5erj3/GU4pONzPe2npHqCl0ahofIwmyPTYdtCaKArdfNpmXtjTrqPd4Uqajb4Qn0oyw966dMmGbPUNhVi+p0J1DfyBKJC7z5s5WnDYN8CaALt7UPRTJQLsHg2Fuu6SKX780hg8qzXNQk/PRVnY+1NbC4TBlZWW0tbV98Jf/F5jT7WTdqwcZGh7jGrp4TgnDcYEdR3oQRYGLrlqBuX3s4RJ6jrO0oZNeJUJSsmLvfQd1JMHkW9bSPzhMlsuMgoDBnY21/DrUVJJQNEEIH/0B7SF49LXjWkRr1lLvbSdDLJhzF/Ydv0EO+REMJqzL7uLpdzLh99Oqs9m8f6xkdc2iAo60hhgIxLjmwmIcVlNG1J/ns/GVj83jT68eJ5GUseYVY3rjMWqTCSZb7MhNQcw18/jzPq23MRiMYzZlPgpnuocZCsZYNrMISRJxm5JYmjcz6g4MzVu5Yva9PLFlbNGeXpON2SSx61gv8aSMx1bOvPk3o+x8Qv+Oa9alBNKN40RK5i8njCxd9Bl8sXZU0UDvYJjbVtVxvGWIweEYF0wv5MQZv36vRk1VNbWzoeEYFUUTaQ28LguxRFpdzmXhpktqCYbiXLawnJoST0Y0N2pN3REs6etw8dwSfvfymHLatkNdLJ1RpOt/9weihHx1OHgtYxvm6Zfx2nNjjnbviT5WLSwHwHKOkov5HLPpsyZls6zWyuScKrw2EUeqg3vXNBAMJzCbJJw2I1cvqyIST5FMKfhcFnYe6WbqfBMF7evxV0zjwMkBDqQpoadX+Vho38zZbijefQpjdjHJfu29lvvPUDXTxMb03x959ThfunMupzoCmE0GKgtc7D/Zx7MbtfHOB66eOkGtbyAQpSLfSW2RlhFuOTyGHlZV2LingxsunqQHAJtPJbk8r5Jkb7opO650m2GqgoAWWO0+ptGw3H/VFAKhBGajhMdhwm41kuPR2FtHM4DxtuVAJwOBGB19If607jgj4QSrF5WjppvNlUVuPVMatTyfTS9HpRSFV8c15BVF5dm3mli5oEzPKssKnBnlvCxXZhYPGueaKX3fs9wWzEaDTswXiib507pj/OvH5un7PTsIm1/joGUgxu2XTWYwGMVhM5GSZaLRGFb7e2ulnK99KOcwipTu7OwklUpRVlb2kR3Af4cNh2ITFptN+zooTCMMFUXlV9sSfH71F0md3o0iWfBNmkbgtV9gCAcxoPHWW8unYT7+LPZWrV6YuPAzHHYvxZUKIosmot5cdu3KfNj2N/VTV+5lf2M/b+xopXTtFPyV95NviWFxumkJmWioTtEbbMdslFi5oIzBQISrFxVxojPMxbUWKoPvkMidy84T2sP1yjuZtCa9QxEGh2MUZtsxGES++3wr377hn+Hwq6T6zuCYfxWD2TPZ8qj2QB5vGeS+q6Zy8GS//kCaDCIleU66B8MoikpStBJffD/uti3EWg5hLp/G5BIPVwkWdh7twec0c8m8Un74+BhX1KPrT+K4opaFy2/RiN0cXuJdp2hUNed34swQi1ZP4VsvH8FqdqAoKh+/2sB/PL+fikIXLruZ051BBoczaSDqyrzsOtqjk7VNq87m8kUVvLpNuw4GSWDF3FLcDiPD4QQ5XhvPvNXE9sM9uOwmdh/rYdG0wgn0GYXZTnYe0TINo0HKSNsHAjFGIgnuuHwyG3a1keW2Qk4FykWfxnRsHUIqRmzSJRxPFWGQTkN6KTZIAnaLgcnlPqqKXVQWeTJ0mQ809XPTJZN4duNJUrJKSZ6TBVMKUCJBLCM9iKZc/rAnxY4TYzXpf759No+/cQJTGr8QjmmAPWNhDvIVX8IaT1GQbde5eIKRJHLOxFq0ZHMR7xrT8JBKp7O/dey9SCY1QN2SqQVIooAAXDavjAUNBSiqitdpJtdj5ZfPH2IwGKOqyM3Hr56KMd28NRhEth/pnrDftp4gNSUejjQP0uVPYLvkLuST24g17wOzFffCqxh87df69wWDiT5DAV7XCGaTRHvvCIdPDZDlsbIrHe3bLQa+et8CvnXfAswmicfebAQyG8Nuu0lvsAO8srWFi2YXYzNKCMANF9VwotWv3/dp1dlUjNMnPxusCRp1fGWRm9UXVGK3GphcnsV3/7RL/7uKym2r6njpndMMhxM0VGYxpy5Pz3Km1+Sw45zXaISqfG09cjtMTKvOZmpVNklZweNz8+xzGkDXZTcRiaVIyQplWfX4JrKi/NX2oZxDa2srn/jEJ+jr60NRFLxeL7/+9a+pqqr66I7kv9AkdWI5RBAgNi6qc7lsPHtM5OjpapIphQvjCVZNWkB4/xvaNlw5WGvmMPTm7/XfWHb+nqk3PER/tASzyUBT25DOnDhquV6rznZZUeiiPNdKtdNF34BKlsfG1tNBDp8e0pCkSZlX323huvleFgVeZIXLRGJvE4b8apqTWg16wB9lOHx28UYDfR1uHkAUBYySSMhSSO7FDyDJMVTRhOnQOzywIp93TyeYlGtgkqmHb94zh70nNXT3jJoc+gMRXn7nNKFokoVTCphdW4Oh8Fbcc69DMVg4ta+LTXs7mFaTjUES9abbeFt/YJCpRc3I7YdR4hEcl36Cp9ZpL62iwsl2P/9ww0yOnB7EaBDJ8VmZVOrVx0QNksCD98ynqT3A/sZ+ZkzKwWyUMjKlQ6cGuHhOCU7bJI0ILd9JjteKx2rAbTNhNYncePEkbGYNL5CfZWPR1AL6/BEtUxTgknlaKj86DisIWnlCUVS8Lq25u2V/J//2qQu4YEo+BoPIX945zavbgiyoW43FJrB9Q4AcbzcNlVl6ieKKxRVYzRJfuHUmAPGkwudunslfNjdjNEisWljG1oOdXHNhDQJaaWZvYz9iQx4bGkMsme6htMjCjhNjDuX1HWf4l9vn8pctp4jGUtyxqIKplT5QVCRBxGc3cNuqOn71/CFGIklN+OfSixBO70ZNac+NaLZhKp9B6NAm7TrnlKHMupZ9vx+bcvrYlQ140zrUoI2cDgwMkBjoADlJzFtIfn4+37xvAYgiRkHNQGErikpDRVaGhjRAbYmLObZOYvUWrGKIXadtzJx9I+7ZVyFLZhQ5QdbazxE+9BaSKxtD3TKO9dpoqDQRjae4aE4JNrOR3744hicIx1JEoimy7SYUWWHFnFLeOdClL+g2i4HCHIdezgKwmA0ZnFS5bjPfeWAh3UMRzEaJfJ8N8zgeqxyPFYMkZHB95XitHG0e5J0DncQSMk77Gb501zzaeka0Z0iSaGzzs2xWMTazgVOdAWRFxSwKWEwSLrsRn8sygQfLZTfqgZrbbmRaTQ5/fv04igryhdU6t9J4BLfFOjFL+VvsQ4Hg7rnnHq688kquvvpqAJ577jlefPHFDNT0f7edDwius62Lr/zpcAZT6dVLy5hWk8+pziA+l4XSHAu0H6Ar6cYgqFQ7o9jkEGoqpnEGGQwYs8sYeu1XyOEAksOLa9UnUbKrIU0LMRhK8I3f79L4mdJc8Q/eMx+zQSSRTGG1mnFZJQQVpLQubU8gxjf/sEuPXvKzbHx+dRGWjt0o9mykk5sxL7mDzW0mYkkZn0tj6RzPnimKAl+9Zz5N7X4SSYXp1dlU2MOEW48RTyg4nXYsuUUE3n0OElFUVcV1wQ2gyMSa9yEaTJirZpFwlRKOa5xODouBs+eXBkMJdh7rZfexHopyHZTlu/Ra66hdMK2A+1fkEQ1HcFjNxM1ezgzEae8dIcutUWK/vbedpTOLSMkKW/Z38HfXTqdvKEoknqIw24bFJNHYOkRHX5hFUwv49yf3T0i171nTwORyH6qq4rabGBqO8+SGRk53DrNwagGXLygj25xCDg9hdjiJii5Ssoo/nEAUBbw2I9GUQld/mEg8RUmug8HhmDb1MhQh12ulotBNTYEWSQoCbDnco2tojNq8+jwumlPKQDCCyWAAVCaXe7GfVT5SQAeF7TjRx2OvnSCelKkp8fB310zFYzMRTynk+Oz0DYY40zNCR38Ik1GiushNodeKIIlpHWWNBs8f0kqZPqcFkxCnw5+iayCKx2mmLNvMUEcbWakeVEGkNeljxJiNJT6IkSTH+kQ6h1VuvbSWoeE4PqeZLJeZ8YOgseEBUu/8AbVTc8yiMwvhks9gzynVQZBnWzCa5AeP76MrncWUF7pYOrOInq5+8pwGNjeOsHZpNbOqs/UGcTgh8+r2Vtp6NcqWJdOL+PGT+zNovO+/aip/eOWoTv2d57Px1XvmY0kv5rGUwsnOIJ39GvK+KMdBa2+Q5zaOvSefuHYaZflOegYj+FxmnT7j/ayxc5hfPneQkYjGV3bHFfX89OkDuhOyWwx8++OLcKWns/qG47y5q438LDspWcFoEOkdCiNJEiaDSPeAxqT6h/R0GkCuz8qX75iL02rE4bRwpivAv/ziXd1ZuOwmrllexR/XjfVFJ5V6+Ifrp2dQhnyQfRAI7kM5h6uuumoC0d7q1at5+eWXP/SB/Gfb+TiHoTMnCSpWtjUGae4cZmFDLlarie89ug+DJJKStQX146tKcIfPoCoKgslC//P/hqF0CqrFg9q2H3PFdMx1SxBGekiavARNubhsEpG+DgxmG4bsUgh2oTRtQUjGEeuWEXcWoe56CsnfSqJ0Hqa6pQwmzHQNhvE6zCiqyumuYcR0Gi+JUJTj5Ik3GwmMxLl4bkk66o3iH9HYNxNJmeNnhth2uBufy8LVy6t5ekMj7WneI1EU+Prds+kYiDEcSZLjMlJtD5FVWIyQDKNKFgi0M/DMmK42okTOzV8nZi8+53VUgJ88c5CWrmGmVGUzHI4zszaXdVtbCITSIECjxJc+NpenN5zkTLe2SF+5qFx/cQRR4M29HfT5o2za24HRILJyfhm5PiuFPhvD0STZbgvr3m1h22EtEq8qdlOS62TTvsyx4W9/fBEd/SFSKYXyAhfPbGziQJNWdzZIAg/dXIJt5+9JDnYhmG14L7kXuXA6CpkvU0pRSSkqJoPEn99s1KnSARZPK+DOy+p0NHUgkuSbf9ilNyMdViOfv20Ob+9tp7kzyNz6POorfFTlOd8TnCQIApFYjFQ8QiqlYLWYiIkWTrUHGRqO4XVaKC9w8s3f7SSUdoi1pR7+/rrpOvhQUVX2NA3w25eOkJJV7FYj/3zbbCrzbBjUODIG/DFo6w2x7VA3Bklg0bRC+vxhfvfSmHP7zI0zmF7pO+fIpygKRBu3kXj71xmfS5OXY192J9lZrvdkBB0IJWjvHUEUBUpyHZgMIkdbhugPxJhS6aMkx65nHIIIL29rZf3ONqbVZCMKAgXZdp45S8K2ptRDgc/OlgOdFGTZ+eR10yhMj9oKAmw7pqGQxfRirygqn7xuGsgpeoYiTKnMIpJUOdbix241Ek/IOKwGls8ozMh+RFEgFEshp2VCBSAUTxGOpXDbTSiKwp4T/by9r4PyAheXLSwj12VOT4lp2tsnOoK8c6ATg6TpY9eUevjls2OEflOrsrh5ZS0dfSEsJknjaAsleH5LM8PhBKsvqOAnaUrvUasqdnPLylp6BsO4bGbKC5wZ2tYfxj4ShLQsywQCATweDwBDQ0Pv/4P/4SZLZhxymCtLg0jlIkm5nwFDbjpl1CKR+jwBw7HXGDi+FUGQcC2+huDKr/L8rkEGOlNcOmUBU+WjGNsOMLxHa0rayqYSn7aGUwETFinBVGMLQ38ZQ2LTtAPzZZ9DHjhD0t+JIRbmhH06bx70U1fu5WBTP4IokEwpei31jssn84PH9ugjiS9sakZRVKbmyuQnhhjutRG35pDns3HJvFIsJon2nqDuGEBjKT3cMsyzb59EUbTF494r68mW4wiKgiApjBx4M/MiKTKx5r20FnoJhhIUZtvJdZlIKRrHvSiKNHcGkWVVa7xHkzz71kk+f9tsIrEkKVlTtvrxk/t1ucoNu9oYDET55DVTEQEBbREepWdOyQovbmnmszfP1Bkmu/1RQtEUt182mXhSxmQQyfVamVzhwz8cQ5JE6sq8/P7lIzR3ag12n8vCx6+dxpHmQVKyyorp2Vh3P0pyMN0YjUcIvP0o8SuqaeqJI0kC1UVuRsIJfvfKUQaDMR64emqGYwBNXOXyRRVIogZe8tiNfO2e+bT0jJBKKZQVOPn2H3brzrG9d4SegQLKr5jMe0GxotEwTa2D/GF9K8PhBPPrsrh4fkWG7vKqheXcvGoyja1DjEQSHDw5QHhkGJ85hCqniJizeO7tU6xdWoUkiWkt48P8611ziSVEzCaB7oEw+xr7KMl3IgBbD3Zy0ZxS/u6aqQwGY9SX+yjKtr0nFkAQQAy0T/hc7G3CeI4y7ah1DkV5YfMpJpVpPY9N+zq4acUk5tflIp5D2zuW1CayLltUzo4jPbgdJuZPyZ8ge6rIKjddMonLF5XhdVowihCMpIjEkjjtJrYd6uKiOSXk+TScQmd/iD1Hu7mnuJHJBoFUqJKuRBHbD3czNBzDaTNqcr3hZIby265jvfz5jUbiSZkVc0tYvbgCu0kaW4gliaXTCrhgagGiqJKSVY61BXl+0ylEQeD6FTUoisaq3N4bYn6a8uOWlbXsONrDtLTEr9uq8WWB9sx/7Xc79He+PxDV1fdGbSgYI99ro+IjZmIdbx/KOdx2223ceOONXHbZZQiCwKuvvsqdd975n3ZQ/9kmqimGBgc43GegdSjJjCIjdXl+bllRwyNvNOFxmFnkG8RiysU4YwWCJCG7ivj+E62EItqL8LuNIW6/aAZLw5sQrU6UWJh46xESU66iIMtGRDYQbd0xcfLi+AYsc64k1HWGpKeYEdmMw2rkla0tFOc6WDG3FFlR2XVUm5qKxlOcnRC9tbud+TfU0Dkcx2dOke8O8vUX++nzxyjNd9JQlokdWDClgEdfG0tBY/EU2QwRfPUZEl1NSA4vnsXXkexrJTWOIiSVSvHLZw/RH4hiNRv4wh1zOHJ6QBN/V1T+8dZZ9A1FtYdW1TSEzUaRyjyN1fJYe3CCjvH+pn6tlAPYrEa2HuxiwZR8ygu1Yz7SPMD+xj5mVWeRTCqYTQaK85y8uq2F0nwn3QMhbls1mYf/cliv/VYWuamvyNKdw9BwjG0HO7lwdjFv7mpnWpGB1LutGccRmHsv3/jtPr0sYbcYuP3yybpT7R44WwpHs8FgjK6BEKIoUFno5kz3MM+8dZKkrHDv2im6Yxi1bYe7ufbCary2cyv4DQ1H+ckLY1HxzhODCAYTNSUeTqaF62PxFPFEilPtAVwOE5+7cRrek+sYOKSR9xmyivnXax7gC4+3EI2nyPZY+MS10/n5c4c41jLEnMm5zJmcT3NHUB+fnFzuYyAQZfGUfJJJ5QNpF2RZxVJcR2z/qxmfm6rnkhIyz01WYTiawGk10dGvXasn0+XGC6YX0tkfpsBrPWembzaI5HisPJ7Wu2jvheMtQ9x22WT+tG4sy1m7tJIzXcN0DYYpz3fhtBvZfbyPo6cHmVTqYdXCcl7Y3KxLxdaWeblxRQ1HRwoJxVKUe5089fg+vWY/Ekny+Osn+Mo98/V9tPeH+d1LY72t9Tvb8Lks1Jf76A9EyfVayfdakUjnCAo0d4/wg8fH2Atau0d4duNJfWT5+TSr83UXVrFidpGmkTJuiRAEOHZmKOOdf3tPB3dcPpkn32wiGk/hcZj57M0zsZnED+SR+lvsfZ1DIBAA4NJLL8XlcrF161YEQeBzn/sc8+fPf7+f/o+2WELhhxvCuvj4xoNwwwX5XD7bwiNvwNRyJz5XmIE3HtUFgUTLej550Sf43itjTdeBqEhj4Sra1IWUegSqi1wIqRRhbDisIsawjeiEvau8O1zES4dVPnnNFLZvbNYbdi1dwzzy2nE+c6PWvFQUVaejHm8ep5k3DgXZvF/LLq5flMddFxbw/edbUBSVeeUWXhsHoDx7lv7iaVl4Dz9Bok8bH5RDfgbf/D3eC67Dv+Up7UuCSLJgOuFYl34sA0GNlqKxLUBNiYfpk3I40epn26EuPE4zVyyuwD5uETyX5LjZJBEMJXhzVxuTy7xctrCMjXs79MVj4dQCZtWNUYcnUjIOi4F59fmc6giwZkk1L2xqzmgKnu4MsnBKQcZ+WrqGWTKziMoiN6X5LnB4kdOAQ2N+NW80ppg7OY/SAhcCcPzMEH3+KF6nOa3aZqQs30lrz1ippDCt8fvkm1rTdmpVNjMn5XDNhdWoMKEnA1pJ6/3K2D1DE5Xg9hzvZc3SSk62B8hyW3A7TDzyqubcuwbCNLUF+ObqBhxoziE12IHx9DssmTITh0EmabDy1JtNOreSJIl09I1kaEIfPzPEzNocnRbiw1jSV4FhykpSRzeAqiAV1SPULMlY3PyRJA+/eIQTrX5uWlGDKIrsOT4WcGw92EVdmReDQSRxjumflKJMYCSVFY224sLZJfiHY1y6oIwTbUO8uHmMk+iqZVXsa+yjrWeE3qEIBoOYQf/idZrZc7xPH2G+5dLaCWI5iZRCNF26E0WBY2cmVkg27++kayCs427uW9vAooY8VAUMBjGj4a0duzLh/du0r4NVC8vwWo0TAj9AH3Mdte7BMIZUhO/f3cBIROsp2R1GRpIK/pE4VrMBz3sEH3+Lva9zWLBggU6jMP4BevbZZxEEgePHj7/XT/9HW3tA0R3DqL2wo49lM4qwmCSqit2Em97OUIpTYmHyYy247B6GwwlmTsrBPxLnh8+NRaQr5pkwShKvbT+K1Wzg9pUzmVJ0HLVzbAzR3rCE9sY4A4EYQyPJCZMc8YSs6QysrEUUtIinONdOdZ6FbIeBdxqHWTm/LEOA/LntvTx4mwa26fdHcaf6+dLaIp7fHyKeVKguyKQ9mJwnIO/OJPtCkZFtPowVs1AMFoJFC9nWJOB1WojEQlwyv5THXz+hjwBHYik27+tgc7r23++P8qd1x/jCHXPxFGgPqsVkoL7ClzG6ee2F1Tz84hF6hyKc6ghw4ZwSjo7jotl+uJuZk3JIpdJKY2jZxmgUXVvmpWdoIvgsnpQzUu/5UwqwGDWxpNPDZqZffDedg3H64mbysx3UDtvYdribbYc1pzS3Po9st4WKQjf+Ro1+5IIZRVT0hWhs81NT4qEs34V/XGaQ67PS2jOsUzbcdMkkqorcGTKXVy2twm0zwnusvw7bRC6cgmw7g+npldl1ebxzIBOgqCgqZ8IWpkgGkNMlnc6j3FjrJnroTQyV86ion0ljep2Kx2Wa2gIT9nOmezhDaOaDbOfpKO+eqWHl3GkYUNjdoSJvGeDeKzVpSllV+d3LR8ckWFXY19Q3YTuHmweZWZvDUDBOlsuMxTAWRcgq50SAS5LAXasmAQKtvaEMxwDwytbTXLO8hraeEYpyHBw7nbmwz2vI16U4ARJJZQLYUkyLQHUNRTGbtGmls+1sBbo/rTtOQ0UWLosBVZ14P10O84RtWM2GcwZ9oGFBinIc2NIDIEajREOxldmhzcSf2owdiIsSw2u/yw+ea6Y/EMUgCdy6qo4LGvJ1WpmPwt7XOVx11VXs37+fiy66iGuvvZbq6uqPbMf/naaIE09bVlRUycj3LgWntY34OV4mQ3IEiymL4TDUlfsmTOZs2NWuS3JG4yl+8/IJvvGxuyl0Po0qp7CU1hNrOYicWAxoo5IWk5TB5Q+axgFoD0oinuRbazxE3n0KpWOIVYsuYWfMlxGNKCqMkmzGkzKHh2zMjb7Np3JlVMmIGkpwy8pantrQhKyohGUDotWhczON2ulhE0/3LyEpK5ze2c8tl9bSO6SVV+wWYwY2ZEZNDhv3ZEZJqgp9QxF9omeUnnvmpFyiiRSleU427mnTS03lBS72n5i4eBw5PUhloStdCzbrky4Ah04OMK8+j7fP6gcU5zr09Xd+Qz5Gg8hv0yWB42eGuH1VHf/x8iEUFQqyIyyaVqBrPYMGrJpRk0PPOG3rx18/QXGug6pirXy0ZX+nfn8Nklb+GM0iAJ58s4lP3ziTZEqmrWeYhsosKvKc7+kYAIp9JqZVejh0OpDersCdl9fx9Aat1GQ1S9gsBobOksm2GMioR5iLJhE7vhU5FEA+tJ5JJd1c0HAxW48O0dozzAUzivTx4FHTkM4fzjkYDCJtvSMca9P+048/10E8qZ1gKCZnBAKdQ2EqC90TAqDSfBe/ev4wh9NEj/9862y9zm8QBC5dUMbD47iGRmluNBElldg5UOUpWdUz1fbeEZbMKMq4v2dTTWze18F1F9XwxPpGFEWjbV+7rJqO3hC/fP4QggCfvnEmpXlO2tJUGFazgdl1efz2xSMYDRpaO5FSNAeTHrKYVZvLuwc79czW6zRP6Jdcvqgco3TuLpQgCLT1jvAPN87kTNcwkViS2VVuku/+Zew7NYv5zWtn9PHXlKzyp3XHqSpyU3wOh/bX2vs6h4ceeohoNMr69ev59re/TSQSYc2aNaxevRqX66ND4v1XW5FLe+DGp5WXzC7AJ0Xof/cPKPWLsU+aT6InE1zmKq9ntWTEH3FSnn3uNO7sFL11IEH2YBeCJDH01qNYF1zHQLcW7eVak9yxvIDfrB9b6ObVuMm3xPl22vE8uDaX4NZ/13sX4W3PMG3mGvKzCuhJZz8+l4Ucj5VrFuTitUuUVZby8v4lTMuVEVWFsKGIdw6e4fqLa1BUCImgzL8NNv2a0ZXLMvUi2uNumtrPIKZf0AKfFUkUSckyHodZV7YCCKQ5f8KxzAkV97hISUlEKc5xsu7dFvoDUe5Z05BBA9DVH6a+MmuCoHxxrpOv/GYH0bgm7nPLpXX87uWjKIpKW+8Ic+rzWDazmHcOduKymbjyggqMBpE7L5+MJAnYzAZ++vQYP/6ymcU8+voJPYUvyLJzsGkigrapzc+9a6fQ749QWeTmVIef3cf6dKK7hsosnTMn22M5Z1/ihU2nePBjc5lXm/OhpufsgVPcV++nb14dkYRCvk3GtvvnrF5wFx11uQSG41x3cQ0/fmKMpsLjNFPmQX8mjPmVGNzZpMZhauT2w8ybt5KtRzVeqaIcewYv0sIp+TSUn3sy6VyWSinUlnp5Y0dm72ZWbS6WNPOp2Sjic1n0IKJ3MMrCZYUcaOofG2UtcFGa7+SVrWmkuT/KI68d59PXT0cEJAGKcuzcdWU9Xf1hbBYDbocZn3MsIs/3WTO4xgDqK3x62SwQiuOwGXX53dFrNt76A1HOdAf54p1zONmuUZLvONyNJU1eqKrw06f28/X7FxKNJknKCtleGwcPnuKh1XbMySBhUxa7+mx4045NEAT2nejhtssmp0etVfwjMZbNLEZWFIJhbbBjf1Mfi6cWYDhH9qCqKjXFHh56dI/u0F7eCl9aeyu5W38ASoqEt4pT2yeSL3YPRP7rnAOA1Wpl7dq1rF27lp6eHl588UXuuOMOysvL+fGPf/yRHch/pXli3XzpUgeb2s2c7I6wtM7FVPU4iuwBIDnQgTG3HM+iqwkd24ZgNOGeeyXDe15m+mAnoslCyraUgqx8useVp4pzHQwGM2vIXodJpycwFDdwyliL0ah9R4iHmNL9Il9dvZK+uAmXUSZv+AiWkPbQiKKAN9V3jqb2Rq5b8Fl+vq6VujIPd1xShX3dl7lIlJAcXv7ivwa3z0NbSqsnF4gi7b0jPPnm2EK+PdfGV2/8Br2trcQkO2FzLokRNMUuwGkWKe/fwrdXOEkKZsR8CyvmjnHi7DzSzd9dO42fPXNQXwTLC1xUFowhSnOtMr95uZnJldks8VjpHQxz4ZwSvSnaPRjm0oVlFObY6erXFo/J5V7C0YROMxGOpdi8v4PZdbk6yO50Z5DlM4vIz7KSSqk4rEYEQWDjnnZiCU36c7xZLYaMQKCzP8T0muwJCOm6ch8VuXbK04pwd66azOzaPA6eGmBqZRa1ZV6dVyccTVJT6tVLSqM2rTpLk2f9EI4BtFKGsu0xxgNbFYudukIbkgVmTcrF6zDyjfsXcKxlCLfdREm+i1e2nWTugn9EUmWKchwEXvl2xnYFyUhRvpcbVngxGkQONA1w0yWTEC8RtBFGpxnpPCsQlYUuVi+p5PXtZ0jJCnMm53HB9DFpVbtZ4q4r6vnxU/v1ftlgMMKKeaV6499qkjh2ejCDRuTI6UFiCRlberEsybbp4DSbWaK6yIPLMhaMOS0GvvKx+Tz79klOtgeY35DPyvmldPSFEUWB8nwXcyfncuHMIgaCMURRwGwUWb2kklffbdEFoZbOKOZP647S0RdBFAWuv6hGp/oALSNvbPVz8cxCVBVMahxPcjOxd7WGnhO4esnNCFIdigqplMzSGUV0DkQIjMQQBYHKQg+/ffEoJoOIzWJkw3CM5bOKsZsNnMszC4JW7huf6agqPLc3xD8svJl4MoXVoFCaa6etLzM4cX2EdN3wIaeVRm1oaIihoSH8fj9ZWVkf/IP/oRa35+F467ustjghPw/lRBPWSQsIi06kJXcTEu2Yc3OIbvgVluI61FSCUNMujHOvQdnzIoT9SGYbn7+ujpe2tXGkPcyMSg8Xzavgm+PUtWZOyqHErdIx/x8RUNjbBcUpBwunuKkocGB0uhAjQ/je/RFj5AYC4pQl3Hl5HlazAZ+jncBZxy/a3Pi8Dv7l9jlEY3F8R58gHtGiJjkyzJR5Av/2alNaT1rgn26eMWEUzmg00pHK5rEjA9SWelg+K5fJdk0WVRQFfOFTCMNeIi2HQE4RK9K4fG6/bDLxhIzZJHGqI8A3719I71AYh81Eoc+mv+AAXovAZ5Ya2dIZ50BTiMWVJpY1OCjLmcTWI/1UFzqoyxEoW9OAP5RAFATMJpHvPZKpVdHaPcKnbqxCFIR0GUMGQUBWIBxL8vprZ/j0TTP58p1zUVWVpKyS47HoIMeO3pGM6Z/eoQjZHiul+U4NPYw2a352JG0zScyvy2FRQx6yrKCq8MlrphIMJzEaBERBYFZtDvsaNeK/ohwHF88pQf2QjgEgastHMFlRE+N6YNOuBKubuqIx1bJin42SLI2y+sV3WygqzKI5qnErWbKtZJc0ILePlWIs86/hB6920p5eQGpKPPgcmfX98zWXxcAVC8qYX5+nMda6zNhNkn7NRqIpntt0kptX1qYxG9oC2NTmp7zQjQA47SZ+fxZwsLbUi3mc7oKAQHGWjZJs+zmb5aoK2U4TD6xpICkrmI0iqgKeMg8zqnzI8pje/agEqCDA8pmFVBa6GIkkKcyxU+iz8bmbZjM4HMPjMLP1YJeeGY5aUbZdPz9hpJtYUyZV9vC2Z8ipmkPMpK2HJqOBP647pgcHh5v7+efbZvPIuuP0BSJcPLeENRdUnNMxjJ792fxbAKG4zMZQFS++c4aZ1V4euGYSDz26V9d6XzmvlHzvR5c1wIcAwXV3d/PSSy/x4osvIkkSa9asYc2aNeTl5b3fz/7L7XxAcGdae0kM9eDs3QfBbtTCBsLZ9SQlO0Y5TCghocpJJmVBfMSPKBmIWnN57eAw04oN+KwC64/HmD85F2NyGIfVgMkgIm/4KeHZd9KdsGMzQt7gXozuLD79QgxZUVkyo4gZk7KZXplFMqViNgqk+luIrv858vAAgtGCedldGCrmIqsiTpcFxd9D4IWHSOnMrQJZ13yedlMlsbi2SJeZRwi+/guSfWdANGBd889EFTNKTyPISaSiBroVL39efxJJErCaJO68vI4cl1UnTjv72lnCnbS1dbPf76R/OMXCSjNmXx6//ssxOgfCFGXbeeCaaZRkWTV9gHNILwqomAYbGd75IqrRjAQ4Gi5g6O1HkXIrUAN9yCMDeG//AYOytvD5R+J87beZL+DsulxkRcU/rAndROMpbrusjpffOU0soUVr1yytxDxu4QtEkuw+3kufP0pNsYeqYje/f+UYx88M4XWa+fjV0yjNc9DnjyCKIrkeC8bzbOYJgjad0zUQQZYVCnPsZDtM5zVeePiMH1esm+z+XRhGegmXLGBjt4crLpyK1Sie87ruPTnAL547hNkkIYkCkViKL15XTYPDTyrQizG3nJSnlNODMqe7gmS7rVQWus4bJHU+Nqo78NmfbMk4/5XzSzEbRF7b0YogCNy/tgFJkhgMxkjJCjaLgSlVWRhFgZFYCofFgMM8EY3/UZkoCrg9VgL+yIT75I8k+d6je+jza476wtnFXL+8Wi+bmQZOMPj8QxO2mX3bd4nbCpAkkd+tO86WA5nZ5JUXVLDmgnKSSRWbSZrg8AQBApEU3YNhzEYJk1Hiqw9vz5hkunHFJF7ZeppwepqqotDFx65s4GS7H4fNRGWBi2yn+byU4P4mENztt99OS0sLl19+OT/84Q+pr6//0Dv+n2wWk0DSm8++8FJ6kxEmOTzUOiC59ffETu8nK7sY27I72TeYw8a9Q6TkOFddADfUhgi++xxyOMgN0y7EYjcxsmcd8fbjGMqm4F5+C+qG31JWOhcpMggdhwgu/xxrlmocLr1DIcrzXTryWVFA9ZZjXPsVTBE/mO0otiyaeyO0dgeRJJGaEg9FV36eRPcplFgIc34Vw+5iWk76OdQ8yPTqbJyVPrKu+heEUB+C0Uw8qRB79puI6WhUPfAXcq/7AQum5NOabpQGQkly3eeeNQfoFXN44ugA9ZUOcs0qe7vi1BnifPWeeURiMjaLhEGYKKAiA0PDcWRFIdtlhew6nKtKEJJRFLMLIRHCWjmLSON2jNmleFc9QNzkwZXekNUocecVk/nzG40kUwrVxW6WzyomFE1iNkravH9nkIaKLGLxFB6nhfpyb4ZjABAFAaNBIhpPYTZJ2MwSn7txBiPRJD6PFTWZQlWhJPuvF2gfDCX46sM79BdWFAW+ds98irMmRnCGNE/T2dc732fji7/qpSinAa9jBo1vBlk533XORWTUaks91JV59akgr9NMVkE+CXspQgHE0z8ry4HyXPt7OitB0GgmkrKKwyydu3EuCITjKSRRwGp872MCrdyzaGoh7x4aK81s2tvBDz51ASvmliIIGqX7T585QGN64EOSBB68ez5v7Gjl2JkhqorcXLG4Qi/tna+dC1g33hRFxSBJ57wmXpsGauwLRDEbJbJd5gy0tODJR7Q4UGJj9X5T4SQUm5b3CwJEExOj/uFQArMkYeDceJKeYIxv/G6XnjEsnlbAlz82nxc2nWI4kmDVgnIOnerXnzPQRrUNksCSaYVIIgjqxH7n32rvmznU1dVhNpsRxUxlMFVVtebLvn3v9dP/cjufzKG7rYNfv97KzCIJlzFFs1/El+VmWWmSpL8P0WJHCfZiLJ3Kt//Shdkk8cVL7Bq9hKqCKOFZuIbQka0ZoDGjr5ChRZ/ih8+fJstt5pYVVQSiCoPBGIoKkWiSRVPzeXNXG6c6giybUcCC+mx8sU7k0BCi1c3RRCHff3SPziNz5xWTefatk0QTMkZJJJ6UufPyeroGQnhdWlPUZpFYWuugozuIzWKgxK0ivPodvVehzL6e7+/10T00Vrq4ZF4pVy+tzCgziKKKMTEMCBwbENh1rJcNu9tQVW2Eb+3SKmbWaNVxkyRmpMY5OU5aOwM883Yzw+E4BoNILJ7intUNOl2Gfp0kEBIhVIOZpDqxsS8IAsFIgnhKwWM3capzmP0n+2lKj5TOqMlh/c5WDqebq1kuC1+5e56+n2hS4aHH9pDns5Pns3HizBD1lT6uvqAC3iPLOR8bpWTYuL+TR147kfG3WbU5fOraqXqbKJZSaGwLsO1IN1VFbubX5+G2jp2zIEDHYIQTrQEQVGxmI9OqsvQoPyfHycDACCOxFL3pEcs8rxVFVensj5BUFIqz7eedFajAiY4gv3vpKIGRGIunF3L9hdUZusvhRIqXt7awYU8HTpuRj11ex5SKrAyyulEbvaYj8RSv72hly4EuSnId3LaqjiKfTV+4mrqGeeiRPfrvLpxdQnNnQC/vgcY0/OW75mE2CoiIWIyitvAmFRRV1aQ/1bF7oSgqspKitWeEIy1+CrJs1Je5sVsnKteNP9bzNUEAc7iLka1PkOhuxlo9B9vctbTHHfQORrDbjBgNEg/+JlPw6yt3z5uAZBZFSCradNbPnj/MvsZx+vQC/Pt9U/EZ00j7hIsvP7wn4/cGSeSbDyykf0jbb6HPNiFA+iD7mzKHt95667x29r/FBkIKt9YOY9j9Z9R4hEpvEUOltzPY1olh56MAGOuXYyquZ+3SKkRRYJgIqXm30kYhkSQsy1VIBZ/P2K4cHcZmMXHbqjpSssKGfT2sWlCG2WhAUVWyXBae3nCSBdMKmFKdw2AwxrrtHVyhvoUYDSKVz2T9yWQGM2g8IesRQ1zRVMDsVgMn2/2c6R6hvMDJ7ZdN5vRAmGDKhjEm0pcUmLn04yQSSRQEhk25dA9ljp2+vbedS+aWYklPgZjkEZKHN+IfGkBQFeKV12YAenoGI2w/0o3dauBXzx+mvsLHDRdVk+206ItlW3+IqmI32w93kwgnWDClgBOtfubX5eh+JJSQ2XGkhy0HOqku9nDFonJ9jHHUVFXFlV5AA9Ekz759UtfVbusZ4WR7gBsurtGdw+BwjNaeEaaWa8jsvmCUVQvK2XKgk+Mtg0yvycFlNxOOy4iCMGGs8f0sqahE4ilsZgOiAB0DEQ6c7Kco20EglJjw/WAogapqnDqCCBv2tPN8mut/97Fe3trdxoN3z9cXc1lRCYQSrHu3hWA4zqJphUypzKTX7huO883f7yKUPu75DXnMq8/nl88dQlZU5tXncdultRkL+wdZTyDKDx/fq9+Xdw50YZBEbl9ZC6qKIAq8taeD9bva9fP68dOH+Oa9cynKHhs6iCYV2vtCbDveR1G2naIsGzddXM2VF1RgMYgTItrIWdc+z2fl7b2ZtByDwRid/SEOnBzAYTUwc1IuKir7GvuJxVNMqcpiUr4Ve+9Bkn1nMFdM560uN38YR0RXkmvnS7dNx2w6i6lUgFA0MUEJ7sOYqkLMVojt0k/jkGPIBhuHO8J879F39RLQvIY8/unWWax79wyCoI1Vy3LmfoLRJJv2d7L3RB/1FT4umlPMoVP9+vjrvRflYdj0M/wD2vvnnLSEpdMXsWWcuNEVi8tp7gzw2xe1ce35DXncddnk83YQ72fv+zQVFRV9ZDv6n2Q5YpDI1t+luSxB9nfiO/QEhgU36MplyWObkOsu4IePNyIKsHx2CbNqZ/OTtF7BvDvPkk4VJUIXf5HDrXEOnxrA5zIzd3Ie4ViSH6bh9HVlXm5dVceLW07T2R9ixqQcls0oQomvIjLUi8PrI8859vIITBSDuXxROY+/cUKXjTzTPcLPnjnIkhlFvJwWoinIslO6up7v/knjfL939cToQFG1Ugek0+HeNg4rtbx8phCzUeSyCm36aDyqtrHVT12Zj0gsxZ7jGhr1i3fM5s3dHVQWuZFEIYNKu7kzyF1X1qOogsYcKsDzm5p10ryOvhB7T/TyrQcW4nyPhc0/Etcdw6i19YxkIKSBDKyIJIo89voJPU3fdrib6TU5vLD5NNuPdFOS5+COyyZnRLRnmyBATyDOr144TGvPMMW5Du66sp4f/Xmf7qzvWd0w4XdXLCrXWVKHIyldHGjU+gMxugbC1BRqo+C9gRj/9uexDPzdg12YjRK3XTIJVJVYIsUTbzbpjgFg59Feqku8+oDBrmO9TKvJoq7Ux3A4QZbLoms2v5e19YYmlFbeOdDJtcursRlFkskkm/Z1Tvjdqa6Q7hwSssIfXj2WgYC+bVUdVouBdVtbKCtwcc2yKoySSHt/CEGAolwnFqNIbBR8JwgZI9Kj1j0Y5q3d2uLoc1l06giADbvb+MyN06na8Qzy8ADD7iqe3JCJlxmOJOkZlukd7EcQNO6slKzwzNun6B4Is2JuCXMn554Xi+mopTAgGl1E4il+/ZfDGb2BXUd7mVTixZxu1D/y6nHmTM6j/tqpyLJCQlb59YtHdXnRjr4QB08OcM+aKRxrGSKRlKk19yEPjAVmatM7XLuoktryBoKhJGaTRL8/kgH023m0l5Xzyz5SrqWPVlfuf4mZY4NEziqwygOtuOKDGbKWaloGUlFh4552qks8OO1GRsJJ2iMWSmrnE2nUmqfGhovZ36ny9FtjwLhdx3r5p9tm6/+eVp3D9x7dQ3mBi/oKH4mEjCtwguSbP8eoyMSBK2ZeQW9NBbtODqcBW/YMJGdJtkV3DKMWGIljG7e4dg+GGRyO6Wc4OBLPmD8HrazksRlBVTFKCocDFn762tgM+4m2A3zsyvoMSuraUg9tPWMLdZ8/Su9QhFe3naEkz0FDxcQJtm2Hurm4SoDBVhRnLn39gYy/j0SSdA9EcJ5DzQ0mUgmcyyRRoHzcCG1gJJYx8TGzNod3D3XpM+9NbQG+8budPPSJxe9JOxBJKHzvsT26qldHX4ifPLk/Q/Xr7X0dfO7mWby4pZloPMXapVXUnzXxdC7fM/6j7sGJaO8t+zu5ZlklNqMmONR81sgtaKO0JoNIIqVQVewmMJLkn3/xLoqiYjUb+Pyts6nIe+9+w7kU6HK8NhR1FJkukOO1TuCKctrN7G7qJ5bQRmjHOwaApzY0cc/qBroGNAneyeU+ntrQpGdrHqeZL31sPr967hB9gSiCqnL5onLWvXtG38a8+nwa0/0Uu9XIYDDzfqoqvLq9jU/PuAL5nT+RchQQTzZlHMe1F9bw3T/u1rNwq9nAzStr2ZOWjf3Tq8cZiSS4YFohXYNhfE4LuR4tu+zzxzCbtCEF01kcMKF4iiOnhzjVEWRKVRbTa7InADITKYUDTf36fpfPLuax9U209Y6wdEYRuV4rJ8ZOl96hCC67idOdQQqybLjUIGc/FYZjr2NqqGLj3g7mTc7H67Lwxs5MzMlI+MNnxB/G/k86B5NtYrNLcvogOe5FkAwojhxgDCx1qt1Peb6Lw82D/Oz1Lr533cV4CyqRQwFC1Zfw+p8yR/Si8RS9415+s1nipktq2XWsh4Mn+/nkZaXI7/wsg6Yjvn8dt1/5JY52RLGZDQwOR7n10jqa2v0EhuPkuSRtNn7cSy8KGv31eEuMo0V4+Z0W7lnbQE+al2fJjEKmVWXpK1cKA68eyASigbYgjqI7fS4Li6cVTcAGjI4ghiJJbJaJC63DamBk0yMk05Kr9y+6i28OWzLwINL7DNwLaMSB49Wy5jXkIYkalXO2x8r1F1aT4zLrq+7ZC9+kEi9PbchcPBIphZ7BCB6b+5z7HRyOZcg9gubITIaxbZ/uDBKPp/ji7bNRFBWjlNmgd1oNXLG4IiN7yHJZKBrXBHdYJ76CBdk2HUHrtpuZW5/Hxj2ZC5DTZtIXvoVTCnT8BWjP3c+eOcC37l+o1efPYdkeS8Z4rygKXLO8Wi9LyIhcNKeElq5hnam4LN9Fz2CIZzdqCoKfuHYaTptRE7KxGOn3R9l6sFOnkCjOddDcEcgo4wVG4hxrGeTr984nkVKQVZVXt7Xwieum0+ePUJzj4GRHgHVbNQCqURIzdBxGLRZPIaSDN6sQY8n0Qh1zUpbvpLHVn/G7aDxFW+8IuV6rPo30ytYWEASef1s7ny/eOZcn1zfS0j2sCUDNL+PyhWV6VhtPKfzs2UP6Ndu4t52L5pRQW+rVeaxEgYxA7fqLa/j5Mwf1a3CsZYgrFleQn2WjZ9zakEwpdPaH6OwPcc2kYs5eoZTKRcyeWsbUuhJMBpFfvHA441kTBSg4xyDE32L/J52DqoJj6jJCo0LmkgH3vNVgSEP4XTlEZt9Cmz8TVVmW72IgEGVufR5HTw/ydqedOQX1RKUwdoznbNSN/6gw287Pnj6gC9UEh/z4IsMTfmNVI3zjJm0W2q8Y+dYjByjNd+KymYgMD3P94jye2jpGAHj18mp2jls8RUGLpnXtW1mhqy/E9curUFVQFGVCROmwTwTQWEwSVywuJxLT+Ouf2djEvIYxgruL5xQTjWlZzHA4waRST0aWIwpw0axClHfHyhPi3qe5avYn+d1GzTmUFzgpynrvyRSDQcTnMnPH5ZPp6AtRnOtgKBgjL8vK1++Zp8lXaqwKup2NBk6kZF23O+P8zO+dldgthgnYEFHIdGQGSaS0wIkIaQK7szaiwqXzSinOdfDOgU5qSjwsnlaY0TwuyXUwpTKLI2l+KUkUuPvKBkySgCSJGAwiqxdX0tUf5kSrH4MkcN3Fk/CPywLlcwxi+EfihGJJrMbMZ1gbLNEU265YXM5AIEYypeCym8j2WPSgw2YUicaS3LhiErKiYJBEstwWfvr0AX1bPpeF6y+exHNvnyQYSlCc6+DvrpmmOxOvc6LCGWj0FiaDiCRA11CU13e0IQhtOufQ6gsq9e8GQnEKsmwTAqIrF5aQ3P47AGL+Ppz2fK68oIIDTf3MrM3hdOfE92o4nMBuNULaOVjMBv1ZrSpys3l/By3pMqqiwhs7WmmozGJKqQeAXn9UdwyjtmlvO/dfPY3GNj9ep5kHrp5KYZaNbPcsEDRqi7N7XBt2t3H5ogpdN7q+wqeDBAFePAF3L72D+I5nUJNxxNoldLimUaOASdJqcLddWoeqwr7GPrxOM/dfNZVs10Qep7/F/k86h0RKITU8iHfZTaipJIIoEdz3Bv2z7mNw7ufpDqq8+soQH1s9dsNqSz1UF3s4dGqAwWCM6y+uYVqeivnNH+LwFZI6OML1yz/Ow6+MRah2qxHnOCKu4XAiQ8Hs5CBU+4qRh8ZFhYKI4MxB7O1GFATKfVmsnpfHK7t7NadmhrunJ5m82sdg3ECWOYk3VyKW8DEYjKXFfqrYNm6cMNdnZfmsYlLniMAAlJTCFYsr2dfYr098WUwS2R4rv395LBu647I68rNsOK1G8n1WSnIs/PMvtbJans/G3sY+brqklsFglERSoSjHzuaD3VTk18Ip7XtqPMLcGg99CRvFuQ7qSr36HPm5LNtpoqzAxeOvHcdu1fSfb7m0Dp89rVJ2jrKJzShx7+oGznSPMDgco7LQRZ7Pxq+eH5OVnF6TTcH7UA14HdpgwZ9eHWty3rBiEoVZdsoLXOR4rKxdWkmuy/y+uAarUWTupGwW1mtAurMn6qxGiU9cM5XOgTCRWIrCLBuF1hhy8xZiLfsJVMwgt2Q6n7tpJv5QHJNBxGMzEkspzK7L1VT6bCaefLMx4ziy3Bac1sxMricY43DzIAZRIMdnJRRJkuezEU/KWEwG3tzZxp2X1yGjjUbOq89jy4Fu3th5htJ8J5WF7ox9RGIpHnn1mN7/6egL8ezGkyyeXgjAqY4AVy2ryuBbAi3TGUVVO2xGPaCIxFJEYik6B8M8cPVU3tjRis9lobrEzVfuns8Lm5sJR5NcvriCmcUG1MBi4p2NWNxu9m7tJZ5UqK/wcaojwPTqXL2MOGpTKrP44ys9+r8vX1TOa9vPAJp4zq5zyNx29I4wrdyDopzbCSuqhhz/8WeWYjKIWI0ajXZ92qEcOwdHmyQKzK7LpSDLhsko4bCZ+MFjY9NIO5uCTK1rQG0owCSq7GlLsrjMgyio+vPusRm4d009gVA1FqOmLfJ+HF5/jX0oJbj/DXY+o6z+zjZCr/2MZO9Yum9dfAsPbnPqfEV1ZR4+fnEuvSENk+C2iHzx0SY9KgK468IC5jT/RqeCVisX0jXpOrYc6qUgy8acyXlsO9jFpHQdOplS+MWzY5w/BknkwavzyTr4KKnBTkSrA/Oye4jnNuCxSbjcNkYGBoif2oXgzkeRU0gomI0SqUAPajKBaHXSbJ3Cb145xfRJOQyHE3QNhPn766YxEk4gKyr5Ptt7lhd0S0dxB08NYjaKTK3S+gcvbjlN71CElfPLmFrpw26WMIoKSUUkHJc50jLEGztaKc13UlHo4vcvH8NlN2GQRIaGY6yYkc3VkedIDWj1UXPJZOyXfRZZNH9oiolESqYnEGcgECXLYyXfa8YsnV8jUVZVuoeidA2EyfZYKfBZsX5AP0NWVHqDMQaDMbLcFh0opwAi7wNy/RvMSILIW78m1jyGEjcXT8Zx2adJCOfWCFZR2XtykIdfPKJnAf9062wdoAjQ6Y/ytYd36AvcdRfV8M6BDkYiSexWIwOBKF+9Zz4HmvrZc6KPadXZrJhbgtdmJJZUkCSB7qEoX314h77fG1ZM4umzynUAX7l7PkebB8jPtlNT4mHn0R5e2NSMKArcsKKGhfX5WgSMllkfavHz06cPICsqogD3rZ3CgvpcFEUb+dTZY9K4GiG9CoqiiqSmkAUTbf1hvvOn3fpgwn1rp2A0iDz3tia6c+OKSZQXODne6mcwGKO2zMuGXW261nd9hQ+r2cDes4ggP3PTTKalp+CiSYWv/2EnfeNGwhdMyefeK+vfU8xpJJbiq7/dqfduRFHgS3fOZfO+DvY19lFb5uOqZVV890+7iMa1Y3fZTdx/1VS6BrQ1LSWrzJucS/Y4fqi+YJyHHt1DIBRHFODmlbUsm1GoqxR+GPtIZEL/N9j5OIeRY9tJmNyogW7kQA+GgmqSGGlNeGhsD1LkNVOTrZJ6/kHtR4LI8Vmf51dvdmdsy+M087U5vQgHXwJAcmXjveHryCanBnhSVXoDMbYe6iaeTHHxnBJ++9JRmjvG6vt3XDaZfIeMOTVCRDGTVVBAgXcMdRzo7SO57y+M7HtD24czi+wr/56+53+AGo8gmm0Yrv4Gp4eNdPaHMBslako8uqrU+dpo2UGnDBAFFBXEcZ9lfh8UBHxeGx1nOvj+0ydoH9BeHpfdxNduq8fy9r+THOjEWj0bxwU3ETNlT9zQh7APAjh9WPtbcQ5nm0p6+kv86xxGPKXQMRghEk1SlGXG8urXkIOZi1T2zV8n7ix7z20IAgTCSULRJB6nGYd5DOglSgIPv3yMd8cR80miwGdumkk0nmIwGGPmpBx+/8rRDGrvohwH/3rXHMzp/oeiQnPPME+sbyQal7nrinq+92jm/L3dYuChTyzGaTHo90oQNSCdgIDdLE28h4Kmfz1KY5HlNCJ8AEZaBfzhhD6d5bIaCUaS9AejOKxGsl0WrGKKeCwMCBgtNlKqVigZxY50B2L8/OmDdA2GyXJb+MxNM/nRE/v1wY35DfncdmltRhkwEEny9r4OjrUMsXBqAfMm537gCLE/jdbv6Auxcn4pv3vpGK3jBjs8DjNfvGMOB08N4LAZtWzaJNHZH0YB8rxW3FbDWJlYUXnosb2cPmuK75v3L6DoPIj3PhKZ0P/XTPWVEX7hu8jBfkSLDXnnC7gXrKGkr41KXwHJ9k6CjqswLLwTS+N6FKMVg90NZDoHs1HC5HSTFETMJfW4l99GEBtDAxEsJi3Vy3NbuH5ZJYIgIMsKH796Kida/fT5I1QVeagucmBJDBOKGSk0ChhsMBRK0j0UxtgzwmRDp+4YAOSRQYK7Xibn9odIhfyINg8Jo4cap4LbYcJiMuD7G1LMs2MFNS208l6bG43kDJKI/dRbfG66iT5zGSlVIJ9+7Hv/hOvaL6OmkqQMdmJIDI0k6PVrExq5HisOZRjV3wmihOApYkS10Z2mycj32fDaTajqRHTx+ZoggGgQ/yYkaVJRGRwZK++09IZ45q2TROIprlpaSX2Zj8GROMNhTd87y2kmnlLSAkIGPHZjBo9iOCHz6OuN7DqmRbBmk8QXb/ki3le/gGgya7TqqoasFdPRtiJPPH5VBbvVgNEoppHMmX8PRTLr3rKicvBkP7eurCWRkhkajtPUFsBiksjPstPnj9DZH6LPH9VR5KIAJdkObls1mWRKoSjbzjXLq3QchyjAx6+ZluEYQHuGRkdGz3kPVfDajXjtH06wRlVhx4k+nanXYpL4/K2zqcx34LJqU2vmVJDw5j8TTXMh2acswzL/OhKSU99GvtvCg3fPJRRNYbMYsBpFvnHffLoGIphNEgU+K6jQ5Y+STCnkea14bEauXVrJNUsqtcDoQzyTXpuRVXNLEASBrqFIhmMAra8SjiW5ZHZxxrNZVeDUA5nx9zOakCc4BoCBYOy8nMMH2X+rc/je976H3+/noYceYtu2bXz3u98lHo9z2WWX8dnPfvY/bb9xyUnW2s+iBnqQQ34MvgIEkxU5HCTSuANTdikiCu0UUjnzWmRECqzgdpgyxkhvvbQWb6kRobwW1eqmK2rhR3/cTUdfCCmdQq+YnoMx2IWqKkiufLLsdpZMydcidAESLXsJv/4zBFUhAahzr2EgbylNbQEMBpFKb8/E428/hqKKJF1aJOkPJ/jJUwdo6x1BEgWuu6iGi2YWYTxf2s2zLJKQaesLEY2nKMpxkOs2v6/TEc1WxHefYTwCRJx6IcQjqLEQkl2keQiOtwYAbRLFqQyTfOO7yOF0NjXvJh49U8yedHpvNkp85e555HksxJIKFqN03myiALF4jH1N/Ww+1E9NkYMVs4vwOM+PoiEQSfLTZw5ypnsYURT4zI0z+fcnxjAKP3/2EPesaeDx108QS8iYjSLfvn8eweEIA8EYDouBhNdGltellyHa+kK6YwAN9PjIm6d5YM132XOsixKPQLnQTVfSxR8e30e228pli8px24109UdIKQrFOQ6C4QS/f/koZ7qHmTM5j5svmaQjsRVZZdXCMg6Oq8FnuS0snFrAD5/YT58/wl1X1LNqYTlOm5HWnhFm1eUiy1ojetRC8RQ/fvqgrrDmtBn52r0LmF2bSyiWwuc043OYJiyYggDJtEM7e6Lrr7GBUJzfvnRE304sIfPTZw7wnQcWYjVKCIJA6sw+3TEAhI9sxlQ8GaFsQca2TJKILw3CVFWtX1WdHouOJGUefe0EO9O9iPwsG5+/dbYu+Xo+56FdExWTUTpnBmw+i5pEAfyhBEORIVwWA4Zx04hWk4GKApfePB+17L+yWvBe9t/mHLZv384LL7zA8uXLicVifOlLX+LRRx+loKCABx54gM2bN7Ns2bL/lH1blBDRwxsZ3vMaANaauaCkiDbvByA6MkR+9SzMB55GiYY0NklvMd+57VOsPxYlGEowqczLVF+MwSe/hTwyiHHyUp4amqtz/8uKyhPrm6hxRsl6W6NTNvgK8a75XLqsoiLEgyS2P4k8+waCkg+bGCfkKuL7j+3Xa8Nz17o5OxYwFjegGK3aE4TA02816YIksqLy1IYmako8hKNJZEWlNM9BluP8SLnCCZl/f3K/DkATRYGH7ptNljqIPDyI5MoCdxGiwUQsqWhz9xWzEHa9hJoeCTbllmPJr6D/0S+gykkM3nxSi/6ZF7c061MiqWUlLPKWQlhrFndKY44B7fToHYry+BuNHD8zRG2Zh7uvbCDH+f6TGYIgEIqniMZT+JwmXtp6htd3a036k+0Bth3p59v3zsJqOTfFwrnshc3NOigwy2XhcPNETYhNezuYWp3N7mO9rFlaxZnOAD//y9iY6axqL3ddXovDpt3Vs6UqAdp6hklIVg52JHn9QIgZNUVEmrs4fsYP+MnLsrP7WI8uYXrrqjqe23hSr7fvOtZLYCTOP90yC0N6TakqcPGPt8ziL5ubMUgiN6+s5Vt/2KX30JraApgkAYvJQHmBC7NRA1r5XBbisookCjR1BDOkN0ciSdZta2HVgnJMskZtoahqBh9RUlE5fHqIZ98+iSSK3LiihsmlnozvnK/5R+ITFuZgKMFINInVKCFJEDmLPRUgdnovoezZtA704rWbcI0r1ZzLmjuH2X28lymVWVjMBg43D/Da9lZuWVH9V2fmHpuRa5ZX8+zGMd3wZTOLyBm3sMdSCi9tbeGNna2oKlQXu/nktdNxp8eeDSLcf9UUHnp0D8FQAlHQ+j95ng//LH8Y+29xDoFAgB/96Ed8/OMf58SJExw6dIiysjJKSkoAWL16Na+//vp/mnMQAh26YwAw55UT2PqM/m9TXgWxtmMZSmmqvwNj3wm2HzYhCAINOTIjz/8MNa7NKscdhRzYOSZkM2q9wylGoWGpoS5ix7YgzroGRQEhFWVg5sf4t9cHGA6HMEgCN64wU5rv1Bfl9c0iN8y4nMSB1wAV0Z1Lb9lKSAiYDRBNyRw4eW7hmmc2nkRVtajka/fOp8BrRRQFnX7apEZRI34Es52UyZMRzbT1hnCY4POX52JQEwRUB9bWdwntekr/ju2Cm9ktTOPJjafxuSzcdmkdtbd8m2TLPtRUHGtZA71PfEP/frJsPr966USGNONTm9upv3I5no7DgMBwIvORvGReKY+/MSZP2tga4LuP7OFb9y/IQLfGZYXeoSgpRSHfZ6OtN8QvnztEKJrka3fNYP3ezJJgIBSno3eYmrL3fqFUYCiUYHA4RrbHyr40sAk0xT3vOUYHHTYjybRS2ZxqN9945GDG3/ed8nPFUFh3Du5zcPBPr8nBY5L5TPZmYnW1HEv5iBi97D3RhyVNyDde2zqVUiaoCTa1BwiGEmSl6VEMokBDqYfJt89GEOBg81DGcEWO18rQcIxHXxubzrp8UTnt/WH+47mDuB0m1i6tojjXoQdAHoeZujIfP35yP10DYeorfFx7YQ2V+Xa9dHayI8jPxw1h/PsT+/nyXXOpyh8DLZ6vZbksE0ZbfS6LPhmoKGAum0K8I5P3Ss6exNd+t5PhcAKbxcCX75pHgScz2pZVlUA4idEgEkukuHv1FHYd6yEwEufaC6vpGYyQktWMSP58LKVoo633XTWFSEwrZ3X3hwnFUwwGYjro02DQHLiialifLQc6WbOoPIOK/Nv3L2RgOI7dYsDnMH3kTLb/Lc7hwQcf5LOf/Szd3doL29fXR05Ojv733NxcensnjpV9VKaE/Wd9kEKQjKiyVpc1uLNJDHVN+F1qoJ2rl11KMBxnRsEIkd1jIBbDYAs1RXM52pqZ6vnMmbP18bYjSFNXMxiScduy+cXGFj16TMkqj7/RyG2r6nTn8PYRP0WXzKNsyVSURJTmoIkdW4P8a5X2KJgNIpNKPDrP0KiZTWNRkawo9AxF2N/UT2NbgCXTC5mfHyPw2s+Q/T0IZhuuFfciFc9EVrXtOg1x7i05CTvWAyqTL7wN/6ZnMvYRefcpbPOKCIzECYzE+dYfdvKdjy8ib/KlCAIkujIXxpgle4IYEkAwacQDgEqeJRN4drY8KWhAqoFgjNJ0LTwUT/HL5w/rLKU5HguXL67UKScUWUEUBJSzwj3xfV5wQYB9Jwf55XMHUVRtwa4p8ejIV6NB1LV+I+NYWRdPL9RFiRRZOSePUwbeQtWAUqP045NKvUyvyUHpOo5y5gDSmQNML5hEz/S7Aa3Jf/b1MJxDctJskjI0EvRzTu9zFCjotBlxWE34nGb++MrRjO++tv0MDZVZ+Efi+Efi/PTpA9xxeT1/WqeNN69aWMbvXjqqS9YeaxkiHD3G526ehdMsIUniBBQvwDsHu5hUNFkfZz1fy7PJfOKyUn6zvoNESsFpM/LpK0txmlRSilbCsdQsxHhiB8lBbUzcmFfJwVghw2Ht3kRiKX7/8lG+cNssPYsZiac4enqI4UhCEw0qcPFQmoIGtNHce9Y0YEoz7P41NjQSJy/LxoHGfk60DVGW7+KqZVV87bc79XVgxqQcqkvc/PkNjW3BYpL42OoGErKi08qrquZALCYJo0FEPAcFyd9q/+XO4ZlnnqGgoICFCxfy/PMacZ2iKOdkfT0fe7+u+9kmuXIy/h1u3IVz9qUM73oFgHjXSewNS3UFt1GT8yfz8LNHUBSVijUF5Atjc3ZKy25uvXAZDw3E9Jt8yZxC8gZ2ZGzDUDmXr/5hH10DYe64fLKO1hxvZyNCLTYb335xbOz2S3fNpSBvjG7iY6sb+NrDO/T9Lp1RREvXWPp/xeJK/vxGow5IKvHA5INPIfu1WrcajxBc9zN8t30HX5mmoiYONBI8OtYIVxPRiYp0qoJFHVuoFBU6BsI0VGvXt38oE31sHemgKLuCzoFMcoBcrxUEEQSRYrGfv1tbzx9fP0U0nsLrMk+IEgVBE3LPydGiz307zoyJ2qPxF53pCur6v28f6uOqRYU8+84YnqQwy0pFoVvfxtnW3juSwZtz6FQ/96yZwpmuYQKhOLKs0tkX4toLawhFEyRTCtkeK0dODejo5rb+KLOqvew7NXZsBkmkMMeh73ckLvPE+kauWFyBQRJp7RkhFY8jHX6a0VxA6W4ia3oAgIFAlOKz+HNOdQRYOLWA7YfHsqO7r2ygvNjznu+RLIrcvbqBwWCUwEhcq9Of1ehW1cyylzaOLWO3GDQyQosxQ8scoLVnhHAsRWWxB9Cyi7PNbTfh8/31VOmRltPUHn+Yb628nLBqx634MW76Hrbbv4E5tzT9LSfW275GcqADBIG2mINfP3wQgyRgMkpEYimaO4MIkkROlh1ZVjhxqIs/r28kFE3ispu4cFYxZ/uAN3e1sXJ+2TnZAD7UsSdVNu5u18vAiqKy7t2WjOt8oKmf+gqf3puIJWR2HunhwtklWNOTUac7g/zwsT2092kTivesaeCiOSWYTR/dkv5f7hxeffVV+vv7Wbt2LcFgkEgkQmdnJ9K4ufX+/n5yc3PPa7vnM8qq2tz4VtyJf9MTqKkESiKGrXo25tIpJHpakDx5GLJLSIaHiR7dgiAZsM27ij8fG4sYnto1zD8tuInk9j9rG1YVChMtfO++5XQPq1hMBsxqFOmgzOiSaiqfzu5oKV0DWvTS74+S5bZMiKaritwU5TiwmCRuWFFDgdfGJ6+bpvU6Sj0UeW0Zo5heq4FvP7CQ/kAUi8lASlZ58OEx2mCbxZCBVK32Qao5k44BVOKDPfTbNAS0IdSf+dc0pkKJju1XtDrpiduAsWzJbJT0Y+tKuXHMvg5h3/OgKogt2/j46kv58fMnGAzGtIf6kmLcHVuwLb4GVJXwiS3MKPFz3UUXkEjKeB1mVi4o5/U0WAm0UlMqJdPfP4IkCRNQq6BJLRZk22nrHeGdgz187tpa/vG6OvY0DVGRZ2N2XS6iZH7PkdYBfyQDtaqq8Ohrx/naPfOJxlNplT2Rrz68A1EUkESBUDTJg3fPI89r45rlVbisRiaXurFvamb7sQGKsu3cc0UNWd6xUVqXReLvr5/OGztbNUK4OcVUdr+BPJx5/V02IyvmlpDltjK9OhtlVR3PbNBwN3aLkTVLKrhodjHBUII8n5V8r5WBgYk6w6MWiaX4y6ZTDKUpQpx20wT+LbvFwMBZCGdRELh8cQWiIOjEjePNktbO6O8fwWAQmT4phx1He8ZkQs0GKos8+P3h9wRlfpCZkzJKsBfzjj8w6noUBOLxJMMZ99MA9nIAorEoVy2rxmQQicRS+NwW+vxhUBT6+0dIKvDGzjY925RlhXPVaWxmA6FQjPDIxAz4w9hIJK47BoDCHAf7zsJWAARCCaxmg555dg2ECASihESQVfjV84doT5f34kmZXz53iOIch65892Hsf9wo6x/+8Af9/59//nl27drF17/+dVauXElrayvFxcW88sorXHvttf9pxxAzZWPKKiVr1f2AiqrIKCYnMUcFQlYdSRWSgOWCO3DNuQJEkZ0dsPHIWJnkdE+Yh09k8dnVn0Yd6kAwmBDduVitNsotGvXBH15rYzg4kwvnz0dEAVcev3lqLHXftK+DW1fV8ec3ThCJpRBFgTsvn0xVgYOv3j0Xt8uqP4Szq7PPyV4J6TFGk4Q9HVGmFJVPXT+dx99oJJmSyXZn1tX7IyLVdg9yOJDxuWDz6P8vOjOzq+GDb5F1yd0Etr1AaqgTyVeE7aL7ePrRseyqIMtOWd7Yw+awO/htUz6Xzf8cFjXKQMrO8YP9fOO+BQRGNBF4d/dOgjs2M74tG6peyZNpsZ+bV9bSPRDOkCc9cnoAJb2uyLLKlArfOYXv3zmo0XZIooDJ7qSu2M3M+iJcLvv7LpygRbx2qzGjLCSgLQ557lHpSYGv37eAvY19ROMp5k3OoyjLioCA1WhKXwMb91w5hZtXxDAZDIiSEXlcsK2qkOM0c8fKWhBAkuNETvczfukxFdZgySri9pU2faR3xawi5k/OQ1FUXOlGpes86vhtfSHdMQBs2NXGXVc28Nq2Flp7RijMtnPPmin85Kmxaawcr5VYQtabqbPrclk+q1hn2QW484p6fSZfllWSKZmbLqklHEsioDkHUeCvdgzaiRZg8BWSGlf6tU9ZimzNes9GsdtuZNfRbjr7x3SX/+GGGaTZKFBVNYNUMhxL4bKbJ9CuXHthtUbX8lfa2dNKTW1+plZlTdAi9znNRGJjz97yWcWYDNrvIvEUx89kos4Bev2R83IOH2T/I3AOZrOZhx56iE996lPE43GWLVvGqlWr/tP2p6oCSW81FtsAxMMojiyiaaqr0cXXqERRW/YwuOtlBKOZGYuuZ3KJg+Pt41SgLBbw5iNJRgSHj5QtDyVds5dlhYYKH794roN92hg4t63KBH9F4yne3NnKtx5YRHAkhtNuwmvXGkvGtCD5+Ajlw9YUDaLArOrsNEOopqeb47XSny5hvbhniAuuuRv5jZ+Coj34hhlXgHeMN0n1luKccwUje9YBIJqsiFmluK75Cmp8BMHiJCFY+OIdeZzuHsbjNFOa48gABLltRm65bAqPvn6cM91RFk51c9XSSqwGEatXc1jG4ilYJ83Xxg4FEcu0S9jY6ySZ0nooJ84MYTKKGY3SJdMLKXbJSCOtCAYLdcU+Vl9Qwbp3W1DStA/LZhYxpy6XYDhBrteKz2FEUVQSCd63ZCmKAqIo4BTg87fO5idP7cc/EsftMPEPN8zImHBRVZVcl5kr5muljHNlroqq0jmk0XS77UZKcp3nRKuP/lbBhOOij2Fp2UeseS/WqplI5bOJCxYYV6NXlbR6219pZ9f7YwmZP79xgu/83SISCRmbxYBRFPjC7XM43T2C3aJNMXX2a2SM0XiK+gof8+rzWDqjMH2dbeS5LRnXZ0pFFk9vPMmuo72AyrJZxSxs+NskhuOSA++afyRxcgfx9mNYaxcglkwnob739ejoD2c4BoBHXjvO5I8vxCyJmI0C8xvyeX1ckPHCplN84Y45NLX5CUWTzK7NpSjrb5sI8tiMXHthNc+8pTnYtp4RrllexeBwjCPNgxgkjQAxP8uO1WwglpBZMbeExVMLxqhtjBKFOXa6zjof7wdM8J2v/Z9ESA/2BzH0HmGovYWEyYM92oNn2jKiVm1CXxDA2LqDwdd/lfFbx9p/4d4/dmsAGp+Nz986C+85COtGLZKQeXx9I9uPaLX9VQu0WuXzacIto0HkC7fPoTLfob9QigptA2He3tuO3WpkyfRCst0WXTs532fDaXn/EbxzWTCaZOexXhrb/CyeWkB9mRdTtJ9koBeD3QXuQiRD5sNlEFJI4X7UZAzBmUNcfO8UdBSsI6sqA8NxZEUlxz1GNxFPKlhN0jk9nFFIIcWGQBDpitv5p19kKmnds7qBLI+FoTR31LSsGMFXfkzK3w0IOOddiXH6FQwljKiAwyIhvs/1OafetQADIwm2He6mayDM0hlFVBc5SckwHEngshnT0p0fdKXHTBQF9jQN8Of1jdSVe+n3R7FbDTywZsr7irIIgiYoH0/KOB1mjKgfOW/OUDjBl3+9PWNy7JaVtVwyu+h9z1EQICGryKqK3STpQjbvhzpX0LA4Ahpn1V8TeUcSMp0DYZIphcJsO167EUHQMvRUSv7A+3KwZYifPHUg4zODJPLjzyzFlnbWI7EUv3vlGIdODWCQtLHb+Q35dJ+13/N99yIJmTO9I4QiSYpzHeS4zHQORugajJDjsVCS48AoiQQiCYySiMuqyQqH4jImk6RF8GfttGMwwrf/tFu/f5cvKmft4nK93/Vh7P+nzzjLcnKcDLc3c/SMn4c3DdEfiDK9ws3t863klVeRxIxJUhh54ZtIDi/mwhpQVaLN+zEVVBGsv45QNEG226LTCryfJWSVYCSBooLHbsQgiAyMaE3r3DTicvwdaO4Z4dt/3K3/++I5xURiMtvTrKt2q5Ev3zUPq0kkEErgcZhx2zRnMRJLYZQEbCbDOTENo1FxKqUgCNr3/cNx7DYjPoeJgWFNWMdgEKkocKURq8KHQoKOyoQ+vr5JP9bqYjd/f930CTKh401RNQW5DbvbMZskLp1fRnNnkEdeO048IdNQmcXdV9Rz5PQg+xr7mFGbw0xHP8Kb/z52Xq4cghd9kVf39JJIKiyeVkBFgZMzPSEGgzFK8hyU5Th0UODoQiaJKoZ4AASRvqSNf/3Njowy0v1XTWHh5LzzRlTLqkoipQ1ZbNjTQSwpc+hkP4U5GgNraa6D0nEayQlZpS8QJRLXiPe6BiP86Mn9xBMyJoPIp26YwaQSN/3BOBajRJbThHqO+yEIpEeVP/h4BUGgJxjj1Xdb6BwIc8m8UqZXZWXIxp7LWvvDPL/pFOFoktUXVNJQ7tEm3EQBA5wToKioaecgoGfG52MjsRQ//PM+vcZuNRv46j3zyT0PFtLBUIIv/se2jPHdKy+o4NqlFRlzFqPgM6MkIIiCtt/esf0+eM988s5jv5GEzI+eOkDzOHzIP94yiyllngw6jNPdI2zY006228KyWUXku61axv8eTlcQBILRJH3+CHarkRyX5bzHa/9/53CW5eQ4OXmimefe6eCiahGzHMEvuNnZqnD/pUUI/acx5ZSQ7G0h3Lid2OmDIIg4pl+EubSebscUwtEkOR7rB5LZRZIaMd1bu9tJphSWzSxi5qSccy6WkqTROvzwqQM61TRoAKfHX8+c126o9GG3Gtl1tBeTQeTBe+ezbutpdhztxWE1cveVk5lakc17PSuCAO0DEb736B7C6V7Hv9w+hx88tld/ebLcZj5/6xyOt/TT748yZ3IupXluogk5HUmbcJjHnFBOjpM3d56hsz+M2STp89mqqnLpnOIJ0dZo/+R0zwjfGucMRVHgB5+8gEA4TiSWojTfwW9fPJoxqltf6uTjJcdRj28EYHjp5/jaS4MZrJn3Xz2V3790RJ/Auf2yyVw8qxBF1l64YE83iYOvMbLvdQRRouWCB/nR85kkcm6Hie/+3SIsHzIaEwTo8cfY09iHIAhkeywcP+Nn87iavN1q5J9vm01Jmns/llJ4fH0T76ZZdG+4uIaXt7Zk1Lm/cMccnnv7FCfbAxgkgauWVXPx7KKM4CQUT3H0jJ+WriDTqrKpLHR94EKfkBWC4SQJWcFlNeKyGs/pCKU0qrljMMJXfrNdv5c+l4VPXjeN9t4QkXgKp81IQ4UXj3Usmw4nZJ54s4lth7sRBLh4TglXLa08LwW23U39/Mc4Rl2AhVMLuO/K+vettQoCpNLPoSRAx2CUJzc00TsU5uI5pVwwreB9tbf3nBzgl88dyvhswZR8Hlhd/6GzhxMdQb7/2N6Mz3wuC995YCEmSQu8Dp728+On9ut/NxlEvvXAQrKd5o+cB2y8/Y9rSP9PsIQscIPvCGzTFhenKFGw9BMMJw3I636OtXI2prxSzTEAqAqhAxuwFNfyxf94l5Ss4nNZ+OIdc8hxmXWWzrOdU1tfOIMm+kz3MDaLkfl1Ofp3jUoEobeJWMsBjHnlrJlWzLHTgyiq1kiNnwVuAjjdOcyKeVqdu7zQxdu7W9l+RJuAGokk+cnTh/j2/fMo8J37xseSCj975qAud1lT7OHNXW0ZUdWKuWV850+79RG7bUf6uO+qBt7Y3kqOz07/UJg1S6uoGlcSE0WRTfs69Okrq9nA3asbdJlQ7dqrnOkd4XTXMLleKxaTAYMkUFfuQ5ZVCrLtPL6+URdc/8xNMydgOI61jTA0ZTJeNiI5fRzoESfQKW/Z38EViyoIxZI0tvp5ekMTM2qydeoDuXWf3k9RFZlz9UdV9ZwDK+9pI3GtfLC/qZ+2nhFm1+VSV+blnXGjuOFokuFIAtLOoWMgrDsGAAQhwzFcMK2ArQe79ImslKzy7MaTVBW7qU1LjcZTSgatxfqdbaxdWsnaxeUTylGjC300IfPY+kadjM9slPjXj82jyDdWUzeQRBpqIXZyF5LTh9NXj8U01qC97uIajrUM8cLmZp3j6M4r6pk9KRuzQQPr7WvqZ1t6xFZVYcPudmrLfMyunqgaeC4TRYGewfCEz9t6RpAV9T2pVFKKyvG2AM9vOoUoClx/UQ01RS4+e8N0LFYTyVjifRd4URToGZqo0tfaM0JSUT80+2noHDiXYChOPCVjkgwkFZVn3z6Z8fdESqGpPUB2/d/Wm/lb7aNTo/5fZNlCEE5sHPtAkbHseRSHQVuIbVOXEjm1Z8Lvom2aHizA0HCMJzc0sbOxn+88spfXdrUzMk6rwWiU2HNiIpBv074OfcWRRJXk4TcYfPnHhI9sIvDWHyk68kduXKyN8cppycezbWZtDpWFTm5YMYk7L6vh3cMT99PZO5GYa9TC8VTGaKvDZiR4lhykIAq6YxAEuGR+KYPBOHabif2NfdisJroGwgxHx8653x/JGMuNxlMcbOpHkrS3UJIEth7u5qFH9vD0hiZ+/sxBXtrSzD/fPgdUbQxySmUWFiHBl67I4sHLHFhN535ERePYnLlgnNj3EQURURI40NRPTYmXtUur9Jl8JZUgemxLxvd9biu2szK6lfPLiCUVjrb66Q5EkT8gXAyEEvxp3TFOdwZJyQo7j/aw/UgP86cUZHzPMi5qDp6lNje6yI7azLpcDp7MHGsFTWdg1LqHIhm0FqCpnAXOItvrGIrwxFuneHbLaVp6R3j3UDdZbguVRW5kReEPrxwllT5HQQCx5ygDz36H0MENBLc+jfjG9/nExWOLustu4vlNp/RAJ5aQeerNJrqGovxu3XEOnR7SS4zjbV9j3znHYM9liqJSfw752eWz3p87rLl7mB89uZ/WnhFauob5/mN7ae0LIQJux/trcOj7LfdN+PzCWcWYzqOun+W2Ip2Vwi+cWqArCn7UqOaP0v5POgchPnHhlEMBhIRWW1QMZkx5FRO+Y/QVZKBOj58Zor13hFMdAZ7a0MSv/nKYVPpFUVUVzzma1U6bUX8xjLEhRna/kvH31GAHKypV5tVlsXxqNjXFGoLSmP5NVbGb+oosjrVo0bB/aITCc0xQuCzv/dg5LEbyx7E3dvaFWDKjaOz6CICismZJJbdcWsv1F09iUqmXvSd62X64m6HhGDuOdPPa9jNEx2U2/YGJs99dg2FkRTuWwVCCZzZmRklN7QHOdA9z5PQgB072Yxei3OjZT972H5G185dkq4PUV2S+pLWlXnKrJpF1w4N41/wjM+uLJ7yAC6bk8/I7pxkMxnh7bzsn2/1kjY6gSkaMuZn31z8wyI0rJnHh7GKm1WRzy6W19A6F2bSvg397Yj9f/tV2thzqntAXllWVvuE43f4oqqJMAIU1tfkpGzdiWprnpHCcnGPeWSyaG/e0c9eVDZjTDqJvKEJ54UR97RyPFdPAcYy9h1Hk1IS/y4qaUSJqH4zw1Yd38PqOVl7Z2kJHX4g7Lp/M3Ml5ZLkt3HhJLVkeK4lUOqNV4wxvfSpjm0o8QrHQjyG9KIcjyQmLbCAU51jLEFsOdPLoGycoy5947HVl3vNCR5fmOrhnTYM2BisKrFpQxoKG/PcsIxsMIut3tk34fMv+LqRxC3tSVmntD7O7qZ/m3hHiZ6WPpTl27ls7tt+V88tYNOW993su87nM3L26gbJ8JzaLgQtnF7OgIV8XuDKks5rxZjZKTEqLBf132v/JspI2w59JRC3lVaKk5/4TJ3djrVtMrO0Y8rDGW2QuqMKQX8XRt8YYNKdV+nSeGYDjZ/z0B2MUeK1IkkhlkTtTNlMUtCgyrRmtapqdE47PEGzjbsN+1GSKQ603suf4CFctq0ISBTr6Qjy38aQejb64vZM7LiziW0+d1MtCDaVOynPee97ZJAn8/fXT+f5jexkOJyjNdzIQiHLNhdVs2tuBySgyrTqLXz5/WD8/UYC7rmzgxBm/vgB2p9XLSDfoZtXmsP4suoSL5hRrWhBoutbnKpMpukOFUuMQiaZ3xo515yOsXvgpJpV6aekaprzARW2ZF6PRRsKjyUkWOOBr9y1g074OIrEUS2YU8cKmUxmI3/1N/YxEkvhs2pSLddrFRBq36/xZ+eYYv/hLJ3k+G26HmWfeOsnyWcXsOT4GUHr89RNMq8omK82HFEnKPLPxlD6jXl3s5sZLanlyfaP+G7NJoqEyi9UXVOjKd+NFhgq8Vu5b28Ajr54gnpTJdluYXObhe59YTGAkTl62nSlV2bR279UzuVl1uZQahxh8/nsAOK/+4QQA25zJeXrWKUki67a1ZCzkpflOfvnsIX2bu4/1cvPKWuxmSWt2qwpqaqLT8dglblulocKLch0T0OtZbguhiLbNUZBnYbadrgGtNFRZ5GJGdfZ5TfwYRYElU/KZWZ2NrKq4LOfujYyaqmrZwYRjd5r036nA2wc6efLNsT7TJfNKuX55ld7YNYgCixvymV6djax88H7PZR6rgaoiN8tmFSPLCj63lYoCpz5QoKowudTDF++Yw9v7OvC5LCydUUSO0/I3Uct/FPZ/0jkM4MV96SeJb/4jSiyElFWCccnHCAXT6buSIhqL4774Y2M6A74SoqEISvqGFWXbuHaKwNvNKgfGbXuUryeZlDnTMcSNKyYRGImTUlRyPFYONPYypyYbUJAtXuxTlhE+skn/veTwoCYTxLu0cdfSSSH6hiL6XDTA1cur2LRXa3Ke7BhhMBDmuzcV0zUYw2oUKCvyYnG4mLgMj1mRz8p3HljI4HAMr8vCunfPsGV/J/Ma8kimFPoGghmOT1Fh/c5WFkzJzwDsjC/FVOQ5uW/tFP68vpFkUmbNkkpmVufoC0G2y8zsybnsHbfgWs0GfXERBJCHM8E9ysAZio4+im/RfUyvztbkS13mDG1uVCjyWrljZS2CAEfO+Cegps/mw4lZ8sm66ZvIQx0IokS2r5Sv3F3Nn984Qc9gmLVLq4jEknT2Z16DUCShO4dTHcGMa3GqI0h1sYeCLDvd6Tr5HZdNpthnpWRp5TkjTkkUWNSQx5SKLBJJTZNjlEnVZTGQk+PEKgk8eM98uvrDWMwSRZYYqac/r2+jP5hk9ZJKWrqCtPWM0FCZhUHSptlGRZ+SZ0XF3QORCYywr2w9zZJpBVgMIknRhnPBWvzrf6v/XZCMmAuqWWbTKOdlReUT107n1385rCvQXbO8msfGDVA8+WYTX793Acn0hFy+1/q+Y7zvZYqiYktnUx+0aMqywsp5pWw92KUHTGajxKKphfo9CESSPP1WZhb75q42LpxVnAEkU8ZpUfw1i7WqQq7LTN6MQhRVRUSYsB2DKFBT6GJy6RRUVUWW1f92xwD/R51D37DMH3YYuG3FFzGToCNm5j8ea+bbt9XiW3EXGK1IFiOB7S9imnE5yEkSmx7FOfsyPr9EIKE68ERaEXdsw1Fyr77dBQ35ZKWjaEVRmVGby1ce3oXNYkRK1/C/dMcsPaVOqRLWeddgzC0lcvxdTAU1WEvqGHjlF/o2nfsf4+t3/Cuv7R+idzDCRXNLOHZ6EP+4WvVv3+rhW/fNZV5REkUwkBBtfNA0o6qCzSRhS5PXXTKvhB1Hu1m/sw2DCLX/X3vnHR9Xdab/7y3Tq0Yz6s1Wce+9gDEYU4xNrwEChGxI8gsbkmwK2WSTbEKybHYTNr3SWXqJKQZsMM3GDRe527LVu0aaXu+9vz/uaKSxTNuQ4F3m+Xz4JJLvjN65c+55z3nP+zxPWcOY1/iDcWZNGJE1OWteJV7HSOnMIAksmVLMrDovKoysQjMQgatXTMDrsrBtfw+VxXYuPqOOnz64IxvTIA5OLESYzQbcbgtp7b0nleH76rKbqK905ySIcxbVYDmBNBY3FEBxQfbnKi98/VOzde8BTeObv92Uc73NYsiWpkRR4NBJ/IH3H/fz/66YQWdvmOJCK6VuS5aB+27QVHCYZXiXzZ6qanisBjzVbp1du30do/tXrBaZ+59opLzIQUmhlc2NXUiSwOkzy7L35fxFNew8NHJ2kUy9+w4OMvpm1XPxrDIT2fkSksuLbda5JKyl2c8jAHPqC7nzi0tIpDVsJomNuzpyDtTtFgMum+F93dI+apQWmPnh5xaxv9mPJAhMqvHgc47I1ieSykmTdTw5drf0UWDENOvdx8FfxRr/G+ATmRxKCq0cbRvi9vtGVqlzJhZh9xSDz4uiSShqGtfSK4gf3oJgsuA5+yb61/4Ca9if9Vewn34N5eYyls2SmVpbyKSqgpwuhlKPne/fvIDnNh0nkVRZtbiGmhMkDhKyE6H+LOwTzkDRJIh26+50GfMb0eqmqkDmpvMmZiSkE6TSKjsO9hKOpXBYDXz24qn0BVOs29qDr8DK7AYZj82YXV1/kEWIx2bkXz+7iM7+CJIkYJfTY+Q6VswuZXaDF4fFoHMHih2IJ3RtqKqWraeerBffYzNw1Zn1rFpUg9koIgkCX792Dm83dmMySriqCnGedhWBtx4DVcHgq8Kx+Api75MYRqPAbmTupCIWTi0lGEngdpgxG0W9bfF97oUImCQBQRD4xrVz+eUTu+nsi1DisfLFy2ZkCYiqqlFf6eKFXL4eM+p9lBVYKP2IjVeGoaoaxsopkOm0ArDGe7h65USeePUIbT0hPE4zly2vxzoqGY4rtvPtG+bx/KZmDLLIlPGeHEVZgEvPrMdqHLHxTAlmKJ+LrXIOKiJxdSwZT9PAZTFkWy7PnFWO12lm4zsd1Fa4OHN2xd89MQzHVeQ0UTyjNPvz6ATtcZpy5MdBb132fcSeCP+b8YnkOQz0B2jvGeLudU2090VZNMnDpWeMx2NSIeJHMNtJmgoxpgPE4rqZhtFsQQj3E9r8BEqoH9usc5Fq5pKSbYii+J4HbJKkV91PZu94MpjSAbShTgwmIylrMUlppCU1pagcaAsQjCSJxFJ4nCY0yGmZddqM3H7DPI60DZFKqUyq8VDs+nDUeokkh1r83PNyM4OhJGfP9HLewipMFvtJNZ7+2n7s4RZLVdUQRRVDzA+pOJrNS1IYO9GKooCsRNFEmZQ2ViGzL5TgzV0d+ENJxpU5mTuxKMsv+TCxJlWNSDyFzSSP6VKJJBUeWDfiFFZd4uBLl8/AH0wQCOvSzKUFlr/K2OZkscpaHO3ImwTeegwtncK6+Ep2m2bR7U8gigLJlMKsBh9VXuuY72n4QFZVVXqDCTa+00Fbb4iz5lQyscr9Pyr5nBinIIAgigiMlek4FTAc62A0xcMvH2b3kT4mVBdw7bkTKXK+fyfT3xMfJ8/hE5kcgq1HCHccw+BwoyWiiLYCfQL3t6DJFkRNJVVYx9sH/Tyzw6+roy4qpG5cKR2DCvFkmhKvHbfVQNdgDH8wTqHLTLHbjDXRhzLYhWC0gKucpJQrTSyTRor0oMWCCM4ikqbCdx2M7zYwArEU7X0RJEnEYZH5+SO7xii73nLRFH77tC7yJ4m6QFx5oUXnTwhjbQpPBlHQUBMRUoqKzWImybtLhXyYQZxSNQIRXXXyRL/hDwKjEiJ9+C3Cu15CsnlwnX4lyYI69I277gC3r/EItYYejJFeoq5qWpQi5k2vQdDeO9bRLPKTIaFo9AfimI0SHrsRRdXlQtKKSqHLzH+/fIg3d4+0b37uomksnOR73wlHEHTW64n34t1iFUUwJAMImkLK5EbRRPzhJKFIEo/LjNNswKDFEKKDYLSSOsHMCQHa+6O8vLWVlKIyvszJoqnvTQrLvlQUUDUtRwbj/b7/YT2rk003giAQiqcZCidwWo04rfJHLhcyGqNj1dB5PyaDeEq2buZJcH9npBWNdOcB4geHu2IE7OffipxOIsRCaIjsiiVpCUlccVYdAENJlbueOkQgnMRhM9LWHeJLV87kpw/sQFE1ZEnkN58uo2/tnZBpLTRVT8Nx9ufoTZrRVPDZVNJ71jG4WfexEGQj3ov/CWwFqIFeBIsTxV6MKhrRBP3wc3iVPnryUDR4a08Xe5v6ueacCWMOGwFEbaQsJMsifYE4+471kY7HcRe4mF7rxfY+wm2qJoDRjgFIvueVHxz94ST/9egu2nvD2CwGbrl4GpOr3O/b751WNaIJ3UsgfehNApk2SyXkZ+DZX5C+8Ed0BTQUVcXrNDA1+BrKEb3mYwUmz76YWLwC67uUOIa1ld7a05nVVqovd+Zo1QxGU/zHQ7oXhyDABUvGs2phVfYAs60/kpMYAO59fj+Txy3B8R6lFXNygFT7PpRgP6bqaSgFNaR5b78AVYWE7Mr8oP+Px2bEk2mfNse6GXzhV6T6WhFMVgrOvhnKZ6JmynMDoQQ/+POWbEfX23u7icZSXLh0fM4EHk+rDATiGI0SHruJjoEIT79+jEg0xQVLxzGxyp01oAG9tbfLH6OjL4LbbqSyyE4olmJP0wCiANPrvDmrc0EQONoV5D//eyexRBqTQZcwn/J3auUU4H2VDv4uEARC8RSyKGAzffgF098Cn8jkoMZDpA++Meo3GtGNd2Nf+QWCT/8EeeJpOGutHN3Wle2XXjK1mJtWVODo2oasphicWcLWY13MnVTMln3dnDHNQ+Kth7KJASDR0ojWfpRvPR4grWj89KpShExiANDSSfzrfoO1YT6hHesAKDjnsxhsbiKNr6IYLZinLadXrmBP0wADgQQz6r28ur0Ni0nm/CXj6OiLcM7Cap55rYm6SjfBSJK+wRiV7pEH9uJltRSme6gLvIY02ErSMJee9lmMq6v5q+SHPyxSqsavHt+TrfNGYin+87/f4d++sISiTI3+ZOb0PUMJfv9MI8c6g1SXOPjsaeNxmqxZi9bYaV+i8ViIl7a0kkgpnDG7grkT1uA4umXEoGj3s9inLEVlLKEKYDCS4nt/2pLVVtq6vydHW0kT4LFXjmZbMjUN1r55jBl1XsaX6KuvHIe3DOJJhWRKhXep6plSg/ifuAMlpLPAQ1v/gmfV/0OomPuhyhuCoK+A4ykVl1ljaP0fs2ZVWiKK/9lf4L32RySs+iF1e3dgjLnP85tbWLmgCnOGoDUYTfHvD+zIMoVXLqgmGk9l3fB+9vBOvnzVTKZnyGKiKLD3+CBdA1FUVSMcT7HvuJ9ESuHlrXosj244wr/+w6KsLlIonuLnD+/M3rtESuGuR3Zx5xeX4Lb+zwx1Pm7EUipd/igCUFpofV8Zk0hC4Zk3j/HKjnYsJpnrz5vE7LrCMdydvzdOgZT594eUGLtNU6NBZIt+1Gx0FbL/+ADHOkbIclsO9BJSzWwRZvFicjZ+ex1La2VmNugy3JUeA+rgWGvR2NAg8aRCWlGJDI71elZCfiRbZgUoyshGM/1P/juxI9uJ7HuDrpYOvv/nrdzz3AHWvnmMH969lekNPlp7gjy6Xq+XTqwu4OY1U5BEkfpKN/987TSUeCg7ucwuFyjY/EvUo5tJDXQg7HqG4pYXSSY+qv3AB0MolqKlO5eAqGnQ0R/lqTeO89yWVnqDiZw21WhS4ScPbOdYxja1pTvEnc/3kZ62BgDJ5qJTKeD+Fw7S448yFErw9GtNHOhRMY6bNfJ3lBQG8d3r36294TGWno+sP0wsrXf1JFIqjUfHMpW7/CPSDiUeW5a8NoxJNQW4bUYkSeRkRw9af0s2MQwj8NqDGJWx0g3vCgGO90T4zh/f5ra7Xucn/91IcMIFII5e+2mogZEWYtNJ7oXTbsQ4vEcU4IlXj+ZISLy0pYUZ9bk+H395/Vi2AhRJpglFUzy24QiPrD/Mg+sOEogkmTSKaZxKq2xq7My2fAcjyayMyzDSiprTjfe/CYFYin+9Zxs/vHsr/3r3Vn5833YCsXfvgBJFeG1XB+u3taFm/KV/8+QeOgY+xPf/N8InMzlYHbot5SiYyupA0lcqcv0idoyydgS4aFkdv3lqL3c/e4DHNhzhJw/tpjnupqZAf5+gYkKqXTDmbwXkkZVqWHRxImHeUFiOXD4ZAPuM5QR3rh/1rwKtipdAOHcSf+KVI9SU6g2fkViKA82D/PrJRhqb+nl1Rzt3PLQX1VXB+HInFUV2CpSBLNlrGOrRt7GmcyUXPgqEEmn2tw7R2DyIP6PEOQyLUcJ9Es35/kCMZ944xmMbjvCd32+mJzAyMQwEdX/q0QhGkgxKelKWC8rY15z7XQFs3tuNUDLSjmtpWIBiLhhzXRYnWaZrGtmdlUkWTyrjMJrh7LIa+M6N86ktdyGJAgunlnLbRfVYenaTeuPPiEdewZzMTQSaOnbiUJNxeE+WSi6GIinuuHcb/RmG+uHWIX79Zhxh4vKc60SrK/v/qwslyr25nTnXLyvOdprFUip7j+XGCjAQiOW0BFvMcvY8IZXWePq1phyNrjd2dYxZAYeiqexrHDbjGIkYSRRw29/9fOtUhSgKbNrbnaMF1dYb5p2MEOPJEE9rvDpKmHEYRzsCJ11M/D3xiSwrJRUBz/JrCWxdixIexFRWj23yEtIpfeVo1FLMHmentXuk+0KWxaxZDugTx2OvNvGly6YCYLGYOGJbQt24KMrxHYhmO8Yln+LRzSMHxY9sj/D15TeTfPN+tFQc2eXDOfsc4oo+CiSLg9TokzhBOKkgXCKlZLVZFk4tZf3WXKmAWCJNrz/O7dfppQmz/xAnrkMEScZgMHyIKej9MRRN8aN7tjGQYeqajRLfu3lhtoRgNUp8/pLp/PsD27MljbPnV7Fv1CSUSqtsP9jDBQurdQKSWc5xzgKdre2ursNtvR7JXkBRd64EBYDXZcYgqigFJVgnLsY48XQS2rsP96pix5jWzsvPqseSae0UgCtX1HO8K5CdhFcuqKLSO9JwoGkaZQUWvnHtHFJpFatJhMbnGHjrsew1ckEJ7ktuJyHpyV3yVCLIRrT0yALAMe8CUrIje5bwfugZjOVMyAAtPRHCc8czHJ199rkojrLsv7vsFr62zMixiItAHMY509SWG0hq+ncliQINlW62n2BhWeiy5JAWLzmjLptYVY0cza5hnLgzOH1m+QgnxWLg1itm8vOHd5JIKciSyBcunX5S6ZlTHZIkcuD4WIe2Q62DnD23gnR67ALEIApUFtnHNJR4R5kmfVz4RCaHuNmLduhxrA3zkSx2kn2txKNxYqr+IAQ2P8mZc69hz/Egx7ojiIKAdJLifDCSxJwKcuf5MlbxIA81FfJmeimL5p1FIK4hxgrpDx/PXt8bSBKWC/HOPRdBlFCiQYZ2voT5rC8AED64mYIll5FozzBMNZVKSxSDLOYcOp8xu4I3d+slLE3Tslv00ZAkQd8WCiC4KzAUjSPVOxKLY9ElJI3uj7QrZHdTfzYxgF5vf35zMzeeNxFN1dA0qC918G9fXErvYBSXzcRbjV3ZGvYwYomRlFVgM3LNygk5rNsrVjTgdrtR3GeiALOcSda+OWLSbpBF1pw2HrlwEq7JZ5ISTCTe53MW2Ax87zMLeG1XJ519YZbPqaChIrfDx2Mz8v3PLKQvoHt1FzqMJ21TlQWQDSLGxBADbz+d82/pwW6dde/NKKpai/Fe8R3CW58hPdSNbcYKpJq5JD9EB6jjJLV5q1nGXTsNZ/HXMo0OJaSFkQk3KdnxjZ+Ib6gdLRVDdBWTtJZkx4NJFjlrXhVtvWF6MqWl02aWU1po5bLldURiKeZMLKZslIqr3SxTX+XmyAnkwJJCK3UVLmRJ5OIz6qjwjiRzVdWYUOHkJ19YzFAogctuwm0z/E27lf5WSKcVFk8rHbPjmje55F273wTgirMaODBKlmZcmZPxJ9HT+nvjE9nK2twxRGdzMzVCJ9pQJ2rRRI4mvZhJYIn1EhOtFJZX4RRj9AzGkCQJbB6+/YdtOToyl55Ry1ndd5PqbQYgedoX+PMumQMtQ5gMEtedP5HJNYW09oRQFJWaEjuW1s2k3rofVAXR6sR0zj9iL65EC/WDyQqCiNZziNihLQiyEeuU02kWqnj6zWZ6/VHOXVSNSRa561FdTtxlN3LxGXXc8+z+bFw2i4F//ezCnAM9U2oIpesg6f52jJWT0AprSYkfHVHL53Pwq8d25dgsAtSWu7j9+rkI7zLMTtS7FwT4wWcX4bAaSKYU3BnnsJ6hGP2BBIUuE8Vuyxhjk0AsRXN3iFRapabUgc/x7v3q79UeKGUIcB8FW9Wc9NN379fIcZMBCi/6GsmiqTm/kwUVQUuTFkw53UIfpJUxrWo89cYxXtg8cu//8YqZzKor/NBdL/5wkv5gnAKHCatZ5kDzIP5QHKMsUe6zM77EjiyKYwyghuMciCT55WO7aekOYTXLfPbCqUwfV4C+SuHv2gDxbvhbtodGkwpPvXGMV7a3IaAf4q9eUpOjp3UiBEHAH0nS2RfBaBCp8Nmy1+d5Dh8BPkxy6OsLEYil2Hmkj67+KFPGeagucfLS1lY2NXZSW+7m6pUNJFIKkXAMBAGfx85AMM7DLx1mMJTg7PlVLHR2IW4ckbqQnF7ES+6gYzCpG9EXmMfYVSbTabRQL0oshOTwYnR6ELTciU4UNCxCHNkgEUqZ9LKGoPeWi4Jek271J+gPJPC5zZQWmDjem+CN3R2UeGwsnFqC12HMmRw1YCiSJJ5ScFgM/yOr0fe7r5v2dPLje7fhcZqRJYHewRj/cNFUZjd4iSVU7GZ5jP5+WtM42hFk7ZvHMRkl1iwdjz8Q43fP7CWVVqmvdPOFS6bhshhOSr57L4ii7ualKmrO6/7aB06WRTRNJ3gJAiTSGqqm5bCLASRBJbXvJbrx0ZMw45DTFIcP4Z17NgnDe5x/QNZatajQRig4tlRzImIphfZ+/UC+pNBKWaEF6cMIQguwq2mAXz62WzdqEuDmNVOYP6k444wm4rYZTsp6h9x7mlY1hiJJLEYZh+XUaMscjY9ywlU0jU5/jNbuEG6HiZoSB1aTRCCil6jdNgMCApFMU4rVKJ3UsS2twWAogUEWszsnQRDweu0njVUD+oIJOvsj2K0GKr22D01gzCeHE5AdGALEo2FIxxHNDkxGMwga8aSKQRYZiqT40T1bUVQNRVEp89n50mXTsZllFBVMsoAx2Eq6+yhqPIxodhAons1379ubVcdcvXQcqxbVYDyJ7vy7TXSKptHcE2bd2y1YzQbOWVBFmccMoxLIloO9/GntPpw2E8FIgs+smcqCiT5kSReXG74PWRFAReWtvd3c9/wBVA1sZplvXDeXyhMYtIIAaTWj5Z/9nZCxnlRH3jMT/PDfkSQRj8dGd2+Q4z0Rdh7qIZFSmT3Bh9dl5t7nD2I0SMiSwNUrJ1BoMyCIQoZBq7+HkIm1pTfM9/64BVkSMRlEIvE01503kQqfnfa+MOU+O9VFdlRNo3conhXik0WRRFpFQ8MsiwxGU7y1u4sDLX6Wzihj+vjCrHDbyBgQCEZTCCLvqriporeImg06C/5oZ4gjbYOYTTIz6n34A3Hufm4fiaTCRctqWTSlJNu6KAgCe5sH+M+Hd2Xv85JpJVx37sT39AQYjKR46OVDNB7tZ/L4Qq5ZOQHvexzQplWNR149yoZtbdnfffGyGcxtKCSSUDBKIrKoT1A9gzFEBIo95pzVbCCW4hu/eovkqB2TKArcvGYKv396L5IocPlZ9SyfWXZSn+ITJ9yc8Z1JoAhgzjDhTxxXJ0IURSLJNLIoYJR0P+W23jCptEq5z0ah3XTS7+uD4N2SgwZ0D8U43DaEzWygocKN0zK28i6IAmlVwyCJ7Djcx9b9PdSUOonG07T3hvjsminZa81GkabOMIdb9bKRx2Viep0PWRQYDCVw2YxIosDvn2kERGKJFDPqfSycWsKB5kHiiTT1VQWUFJgZCifRAIME/lCSRFJBFAWMBomjbUMsn1X+oRJEngR3EmiCitrfgj3YiqCkUSQT6aIJiDZfhiSl8dLWFi6cX8zSGg0VkSd3xwnH0yixIKKqELW4KPB3MLTh3uz7yks0bCYLw0dSa988zsx6H/XlTgRBIJVSMKWDKL1HSQ/1YCypRS2oJi2MdPA0dYX4yX0jRkNv7enkjs8vxmExkFY0JFFjU2Mnt109G0kSUBV4YdMxJlcXYM6sSkQBegIJtu7vJp5UmDepmOPN3fz7lSWY1Rh+zcGjGw7yhUtmZgdTSlE51B4gEkuhaBrFbitFHgvxlIqmasiSbuZ+sMVPIJzEZTcyscpDfyDGln3dFBfamFRdwE8f2J6dYN7Y1cE3r5/LuDInTe0B5k0uZtfhXsaVudh1qA+Xw8is+iI8dgOptKYT0QIxvnbNbIKRJMFokvHlTlq6gvw4c08EAb72qTn86S/7skn47PlVzJlYxO+eaiSRUYMNxVLsOtRLucfMI+sP0z2rgrPmVNAXiBNIKBhEeHZTM29lzm7OXzyOM2aW5TxcA+EkD7x4kL1NA0wa5+GqsyfQ2R8mGE0STaRp7gxQWezgsjMbUFUVt93EodZBZtd7UTSIJhT+8Jf9OQn4rcZuVsyvZnyJAy2TYONplePdIaLxNOU+G49vOEKh28JFy+oIRhL8/OGd3P7puSRTKrIk6CJ9CCQ1FU2F/kCcDdvaKPPaKCm0cawjwJ/X7oPVU/jdU42U++x8Zs1kOvsj9PijCIJAl9/MtNpC7JmEGY6lchID6GWjQFiXdI/GdamJKeMKcdoMqIqG02ZA0PTd3/C5hKpqdAxEaesN4bKZqC510NQR5LWd7UiiwPLZlVQW2WnqGCIUT1HhtVNVZM8h0gXjabYe6OHV7e04bXrZdOfhHhKRCFaTyP3rQnzl6tlZxdlhpDSNYCSF0SjiMhvwh5N0DkQQESjz2cbY8yoa9IfiDIWSOG1GRFHgO7/bnC0de5xmvv8PC0gkFBQVfA4TvcE4z7x+jKMdQ1x9dgOxhMJQKMEj+w7jtBm5aFktzd0hfv3EHkRR4OqzJ2Axy3T7o/QNRZlu8hEI699pIJzEapb50uUzmTWhmB0Heyl0WXA7TPQPxSgttKIJ0NQ+iMno5e193RxqHmT+1GJqy928sKmZusoC/ME4HqeJwUhyzD35a/CJTA5ipB/D4DGGXnsYTUkhOTx4zr6JgGTlyLFu3E4L1y6wE9l4L5GdBwC4bNpyhIREbMMfUKIBpAnLiE44DSQ5S3xLb36QS+Z8mbteHOkN6hmMEYgm0TSNIreFwpZXSW17KvvvtvP+kS7bRLr9Udx2I81dQZbOLKO23I2maSRTCr3+GD99YQdDoQRnzqnkuvMn09kXoXcwjsdp5rrzJ/P2/h7Wb2ul0Gnm8hX1bNrdRZHHitEoI6SiXO07QOKll0gDTkHk1nNvJZxSspNhbyBOMq3yxu5OTEaJi06vZSCY4OWtrfgDcZbMKGNSTQE+t5UChwVZEugfihJPqVm3q46+cM4Ec8HScfzq8T3ZSfxQ6yAr5lXicZg50DLIuDInfUMxjnYEePr1JoyyyGVn1vP6rg627h9xt/vS5TNwWA2Eoimm1/lYt7klx7vg5a2tFHus2d74J149ys9vqGON8Rhqz1HE5QsJF5v55m82EUvozPHrz5tEXbkLoywhSfrqq6UnTEO5fhAYV1QefeUIM+p9zGwoQhJhMBRDFEWicQWXXaLQbeFnD+/MdpqYjBLfvH4ej712jIPNg1x2Vt0YWWx956Xv/kRRYFypi988uZuj7Xpbsd0i8+WrZvPHv+yleyCKr8DChafXsr95kF8/sQezUeLmC6fitpt0s6VEmhXzq/h/l81g3/EB2nvCnDarPOusd8nyOgyySO9gjFe2tXHu4hpUVWPd5mYqih0cD8WJxNLUVbhw2ow58c5s8FHqtVHus+OwGplQXcD+Fj9PbDhCSlFZuaCaZbPLOdoWIBxLUVRgodSrcz2KPFZMBplwLM0vHt1FVbEDVdP4wzONfOWa2ew60k+PP8rMBh9Go4iiQO9gjEKXiWgszUMv6p4YXQMR/v3B7fz6lqlYe1rQVIWrZ1awubWL0unjsom3P5xkw/Y2th/oobTQxurTx5NKKRllXoH+YJxJ1QU0dwcZ3NnJ9PEeBsMJfv3EHkLRFBaTfj5y45opRDKttg6rgdd3dvLMa02kFJXF00qZVudjfIWLyhIHHqeFV3cc4VCr3kodjCS5/4UDfOO6uVl70EA0yQPrDmQ7tg42D3LBknFYTQYC4SQC0NIdzPGV2HGwl9uunsWzbzXTPRDhsxdN5ReP7KQrw304e0EVbT0hjEaZJzcepbjAyvlLasYYTf21+EQmB3MqSN+bj6FNPpu0vQipu5Gh1x7GdM6X+M+/tFDssfC9Od0k2w9kXxNpfBW324sSDYCSRt2/AVU2Ypx5Pskdf9EvUtNYhdyefKfNSPdARNeiQUCrOoukoZpwSqLUAfsHLPzuwRFpz/MXV7NsVgUtXUEkSWBClYfv/+nt7L+/tLUVURQ42OInEk9jlAXmTirhmdePAbrByh13b+Mb18/ljnu2AfDnz9YQ2vPSSFCaSvy1P1N41Q91mQZRoG8ozh+e3susWjcpRSGRUviPB9/JDriW7iC3XTObx9Yf4Wj7ELUVLq5Y0cALm5rZ36zvlabVejhnQTUvZgx/TEY5ZxIH2Hmoj9kTipk9sQizUSIU10k/w/iPh97hhgsm5ySHRzcc4bKz6rl77X6qih2s3zbW5SuWSCOJusfAP66qRH3pP4iHM/yHribsk5cxbdxsth4cQNPAIEv85snGrPe02ShxyyXTkSS9fBSMJFk5zYUv2Yop2EbKVUHYUMN/vKCPCZtZxmqWqSpxsHJBNRrQMxDhhU3HsVkMHG0fYsO2NiaP87B/VHvjNSsn8Idn9tLZp/fC33jB5GxiADhzbhW/eGxXltvSNxjjoRcP8qXLZwJ6B1gkluLXj+/OrnDrKwtIpxXKfHa8bt2XOxJP0uOP8uj6w9SWu1hz2ngWTy/jkZcPI0siFywdx2AozoMvHKRvKMa1507ksxdO5e5n9+MPxikptLJ4eik/f3gnHqeZRDLNm7s7uPiMuuwCoKGqgCdeOcqOTLurx2nm/wbck38AADsqSURBVF0+g/ueP0BzVxCbxcCVKxr455vm88r2NiRR5LSZZdx5/44sI1oS9TLT46McAs9eUMXCqSW8vVc31rpxWRHp9b/E36ePK9FkZemafySq6eXPtKbx9OvH2JTx4h4IxDnSPsRXrpqdfS5MBokvXTmTh18+zFAoQcNnFvDbpxqZWuulsthBz0CEPzyzl2/fOJ+9Tf0IAljNBh5/5SjnLqrBaJDYfqAHr9tKcYGFobR+fneiv7mm5fpG20zymFbel7e1cv7icTy18ShzJxXz+ihPENBJgN0DEWY1eIknC4jG09nEAFBZ7ODR9Yez971rIMI9z+7nG9fP5aPEJzI5pOMRehbdxh83+ukZjDGrdgnXTFNxavrEPqHMitb6zpjXpYb6GTz96wxFkpQYwjgOPItp0aVZ3SHRYieIHQggCrD6tPHsOz7A5j26vr4sidy4ejIHQm6eee0YF59Rx7rNzdn3FwWYM7GY9t4w/UMxDLJEcUEqu2rOXicKnDWvmmMdQ8ydVMyvn9iTE6eiavQPxbN131TG4W401GiQVCyC4HAiSQJt7X386Dwj1qNrwWRh51BZzkrk7AXV/PaJPdnVeVN7gN8+sYebL5yaTQ6NTX6WzSzjxS36a048abGZZa5a2ZA10LGZDRxtHUtgO9YRyHEPC0eTWWvN9t4Q02oLc5IH6A/y8EQ/3hYhFc593/j+17n0/OVsPThAQ1UBu470Za8HfdI93hlkVq3O5rXJGu7O9ST2bcx+v56GRZw+dQGv7/VjtxopdFlo7w3z3xnnt/HlLs6cU5G1Tt1xoIevXTsXo0Fk1+F+Jo/zEIoms4kByOFVAJhN8hjSYzSezk6mBQ4Tnf2RnK652gonr25v57lNzdnfXbK8LivZ7XVbiCXT3PPcSEfb755q5LarZ2G3GugbiuF2mHhrTycLp5ViNxvweSxs29/NDRdMzhy8C7oJTabEqJc4hewEBXDligb+++VDNHfpbPZILMXdz+7jn66dy6Y9uuZUeZE9R2bk/MXj+PkjO3M+78tbWvnKNbN5e283JoPERFMP6b6RTiw1ESW8+1XsK8YTTxsIRtO83ZirTpBIKvhDIwuTREph/7EBbrxgMs1dIdKKyuVnNbBxRzubG7uoLHZw7bkTCYTjPPzyYTxOMxcsqWHFvKqM5L7uMGgyiBxsHeT1nR2cs7Aar9uc5b0MwzTqLMdwki4laRRvR1G1HOvS7OtkiYdfPkQ0nuYb1+VO+um0yjuHcvknSqYE+FHiE5kcegxV/OSZXdnJYWfTECnFxeczYl/HeuOkGyZCX1vO6yKucfz4L11Zss53LruJqsG9gN6pFF9wIxOKK7hK0Wu/iqoSiqZYPL2UtKJSUeTgSMsQ40t1pmqR25TzoJw5r5LBUIJ7n9ufffhf3ipx5dkTuDfzYM+ZWETfYIznMxOBIAjYLYYx0g8GeWRqVu1FOiN8VEul5KshaXBhQhfYO7MsiPrK70gBCCLS+Nyp3WqSx0gaDIYSY2w/U8kkM+q9xJOK7pfss2Unw7MXVJNMqzyy/nCWtHXuomqm13vZc2REWsRmNuTcl+VzK3HIaVx2I7MnFGEwiLT3hunsjyAKcP6ScbT1jBwwaicj/osioqQ/qBaTPOZ+AcQSI7+zp/0E923M+ffE4c1ceN5yXt/rZzCkJ99to5LUsY4Ak2o8+DNEsPrKAt7a3YmAwBUrGrCZ5Sw/ZRhGg5RzeCtAdvLNhi6QleVQtbGTiSyK7DyBK/Lcm8ezK8kyn23M6hT02Osq3BzvDCJLYnalDvr3snR6Gb2DMfYeG8BlM9JQXYDXZcmwfbUxhkEuh2kMx0HTyNqGDn+W0VBHNTaMxvB7260GjLHuMbSHdH8LamYMCaKeVE9MtMYTDmeHwkk2vtPO9gO9/PgLS/jL6030ZoitbT0hHnrxIN+6YT6gx1zgNHPXI7uyr391RzsXLavNjs03dnVw1coJ3Pvs/uxcMndSMeZRjG+nzYDbYcph+V+8rI712/Rk987BHm5cPZVfPb47++8Wk4wkCdnPYzFL1JQ6s0m3eyCCy24aoxxwMr7LX4NPZHJoG1JzVo0Ae5sDdIb0kdveG6Ft/myqC/ahZPSSjNXT2TRYQCKlP4RpReXBTYN8+eLlNKdqSIhWagSVzi4/D798hEk1Hs5ZWM1D6w5mt+GiALdcOp0j7fqqtticZkq1k30t+pfeUFXAG7s6claF8aSCPxDLDrAJ1QXZeizA5sYurljRkE0eAL4CC55RDm1NYQs1Z30RbdO9qNEgkq8G6bSbdC0pDQykkQ+tH1Fe1VQqfJacGrQoCmM6rIaZ46NR4tTbOa0mmZ8/spOb10ylqz9Ce1+Y2RN9/OyhnTls3nWbW7j23InZ5GAxycybXMzxzgCyLLJkeimn1Zoo8tn5yS2LQYBv/34zcycWc/qschAEdh/q5ZIz6xhf7kJRVMRCC4KnAs0/IksgTTuH/QP6BHu0bZDrzp/MgeZcNuuiqaXZ7ql08uSrMIOgx+5xmjl6ghUpQOPRfk6bWc7mfd3MaPDx+IbDqJruYe12mFg6oyzHoe7VHW186fKZPPzyIQYCcaLxFNecM5H7nh8paV6wdHx2gg2Ek4wrdWCUxey4OlmtOZFSssTJrv7ISWVLCpxm/Jk22ROZzQZZpGcwxoOjyIdv7+vmq9fMGelSEwUsJjk7WQpw0pW0zTIyaaXTWs5kKYoCJYVWukeVTZw2I2VeO1ecVY/DasTqcRDZ80LOeyo1C4kLZkRNb2S4YkVDDtenptRJMJq7AJhR7816nHf2hbOJYRiReJrezMG63WqkqWOsvMyWfd3UVbgBfUf33JvH+dYN8zjcOqSf7fij2CwyV58zAREBs0lm1ZJxDAbjDATi1FW6kQS4ac1UmtoCGGQRVVP5xnVz2dTYhctmZPJ4D79+fKQakEypzJlYxMwGHx19YRw2E1ecVc8fntmbfR6n1RaOMd76a/GJTA6Ok7SnOW3GbKb2OM0Y3T5Sy/+RSF8XgiSRshVz//17c17T0R9FSSWolAcwK21IzukMxl2cNbeS2nIXxzsDOQe0qgZb9nZnV0/9A0PcMEvlKZuHrYeG6PVHiMXHau1oGvy/lcUMhZO4C3NjjyXSvLGrg69eM5vDrUOYM6UEOyOli6dea+ZzF09DPOfbiEqcuMEJJitF6O17qiogmnIlKCyd2/nipXM43DpIfzBOTamTS5fX8fgrR7PXXHJGHc3tes3VZpa5blkRZuLZOqzFJFPssWK3GBhf4UIUhJMKqtmtRi48vRZJ0iebjp4AX1xqJCk6sbZtwmVdSlwzYpL1yWTV4nHc/8LIpCVLAk6rkfrpzqxhUGr5F1Fb9yAH2kgWTUaunsy4pInPXzqdAoeJEo+Vf7xiJk++1oRBFrjirAYqRzF30zYvkrcapX+knCEWlKE6ipk8Lo7PbWFCtYdXd+Tq4kyoKaCm1MEZsyuYXONBlkYm8aFQAlkSmdXgy670x5e7aOoYYka9D5fdxM7DvXjdFr50xUx6/FFMBonBYByHzcRVZzcgiSLFHhvXnT+Jtp4Q8aRCocucM0kDTKwuyP78zsFevvnpeWzb35NNGBaTzLxJxfzuqUaMsohBFplZ72VXJkmXee08/VpTzmdLJBU6+8N8+4Z5JFMK5UV2vnH9XO5//gAt3UEisSRrTqvlvuf3Z3c+i6eX5uwwnnn9KN+6YT7bD/TgD8YRBfjMmqk883oTB5v91Ja7uWhZLZIA582vBKCv34hx7hWIu59BS6cQ6xcTrZiHI1OecViMxBJp/vHKWXT0hShwmKkosnO4dYiqYgeiKHD6rHJEoDkj4Ng3GBuzQwOyZ2SRWAqzcew8Ueyx5pyjyZmW7O6BCKVeG7MafFhMBiZWFyAg4LAZkCWBPUf7kCWJSDzFZcvrGQzFQQCbRabcZ2fnoT66ByJE40lKvbaccwtF0egeiLL7SB9et4V3DvXQMxDl2nMnkUgp2aT0UXMSPpHJodoaYdHUEjaP2kbfeF4902z9/OR8GXNqEK/UStxajdFXCAj0aGP1e5bOKGX7sQglthp2t0SZ4LIxq9bJxEo3AI+MmkiHEU+ks6u4gwMSc43dXCMf4vKzZyCHX6Ni4TkcPmFFOqfaiGfdt/EBTDuPqqIaWntHJn9NVZHVOAea/bgsAmummSm3O/jXf1iEoupdUkZRICQXkkgpWE0ydpOc7RNPq7qeT/z47mzpybD9EWznTsFlN1Lg1OvcJqPMV66ZTSCcxGKS8FnSVCTaWbTajEFQKCo3MGSp4J8+5UFRVSp8djx2A0NRA9F4CqfdRHWJg5bu3H74aDzFS1ta9AfdZuD2a2fhScfQkjHE2eeQMHlH9HtUjUVTSjAaJNZtbsHnNnPJ8np8TlPWaU8AHN5SwvYikoqCxShjlkUqbFDtteHx2OjrCzGz1sPUcZ4cXscwDBY7oYU3YT72BlJnI0rJJGK1Z2AyO7h0eT1Wk0g8qTKzwZeV/6gosrNwaik1RTYayl2omsblKxpyVt87Dvaw5rTxTMgolRY4TLy6vY2DLfpuUhIFLlpWSzqt0j8UY1JNAfMnF2GURAocRixGmZ1H+rj3uQN43WaMskQsnuaLl83g6deaaOsJMb3Oy5rTx1PkNnPHLYuwmg3YLBLfvmE+xzoDiILA+HIXVrPE1SsbkCSRZCrNdedNYkZ9P9sO9FDgMJ1U+M0oS9QUjfTG271Wvnr1LFKqhsUo8firR7liRQOKoiHLIkfaBrGZDcyeUIQkCnoJ8XAfpR4bsiSiqBrb93dz1rxKzl88jlRKYduBHq5YXpddFYsWO83uhahzapFQiRvcVFoKUDOJTtI05kws4rm3jrP36AAuh4kbVk3GbpVpqHKjZbg9b+/rzlYM3tzTyaXL63lk/UiX0PmLa4gl04iCzpSvLXflnH2ZjBKrlozjD0/rrou15S4uP6seh9XAaTPKMRpEStxmDJJIgcWWHa/zJhVTU+oknlQocJhYv7WVaCLN1PFejnUMsfaNY9ywarJ+rqOqVBY7cj3QM9Sii5bVkkyr2MwyDVUF/OaJPdlkv3xOJR7nh3N7fD98IklwoY5m+ne+SrdvAYGEQKk5QZH/HRyzziUd7EU0O+hUCnhw3UFmNPhQVJVef5SGSjf3vXCQcDTJkhllXLa8Ti/7BOMUuix4nUZQ9dWtpmm09kf5lz+8nfP3v37tHGrLnSTSKjajhEmJofYdJdm6F9lbhVoxncaONM+83oTZJHPZaZV43/4FWn+z/gaCSOrML3M4WZxlGk2tdmBrfJJoIo2kJnA0zEUtm4HyIXK/KKgYg+3Ej+9EMJgwVE3n3i0RXtnejkEWkUSB22+YT99glMNtQ9RXuKmvdGE3ShjSYWwuO/7w+/+dvlCCux7eRedABKtZ5h8umpY9lxBFgVKPFa/DBGgndUYbhiDoRCRJ/GC0aUGASELFH4rjcVuwZoiJsiwB2knlMhKKQu9QDCUWRTRZ8BXYsIwqox1sH8JhNTEUTpBOq/gKLLR2BVk8tRg183ZJRaO5J8Seo/1UFtmZXONBkgS6BqKIokCx28KR9gD9gbjOoDXLTBtfiNtqQJIEPJ5chqwoCjz95nGeznThDOPMuRWct2gc8WQah1XGaR6rTySKgn5YLgiYZRFN00ipkEwrOCwyiqIxFEkxkHE2PN4V5JePjdTCzUaJH35uUdZQaDSGiWWhRJrnN7fwxq4OKnx2zlsyjvuf24+vwIqqaRxtH+KcBdWU++y09QSZMt5LdYmDxqYBth7oZmadj7kTi3CY5QwTXUNRNELxNH2BOKoGBQ4jhXbjmM+nopP5TAYJm0FEEASiKQUBMMsSx3vCPLrhMNFEmmnjCzl7QRXdAzF6/BGKPBYCoQSv7+pkaq2XZErhrd2dfPmqWQQjiQz5zo7RINLSHSYUTeJxmigvtGXJlR8UgViKV9/pYMfBXiaN87ByfhWHW/0MhZIoqqbzT6x6W3sipTC5pgB/MMmf1+6jayBCfYWbz6yZgoZGPKFk75OGRqXH9v4BjBoPeYb0KPh8DgYGwhgDx4nsfBHUNJLTh3nqcvrR28aMsojRIPHGni4kUQRUTEaZ0ya4GQzHSaShyK5hlyEcjhCVXNiUQWSbm96kiXhSQRQEXFYTvUNRnnqtiURK4cLTx1NcYOPZt45zrCPA0hllzGzw8W/3b2dcmZPW7gCfu3gGr+/s0D0g0goXz3VTsPV3pAf08oVgcRC98N959Z0O9h/3M2WchzPmVOA0CoipECoSgtWF6SQUfVEUUDX97ENVNQQR4ikNoySSSitsO9zHxh3tSJLIBUtqqK9w0R+IE08oFHksWI0S3YN67bTQZaa4wIwkCoTjaZx2E6RVIkmFYIbXYbcYMcsCbf1RAuEEJYU2itxG+gJJghmb0AKniVA0Rd9gDFEUKCqwYDFK9AzGiMXTlHitOC06oSkaT2M1GfDYDVhMEpGEgkESGT57H/ZMSKdHZC3iKQW7WaY3EGdzYxcWswFFUZk23ovZLBGKJEEQcNqMFDtNGSV3MSO5oaGhy1gYDSKSoBO0OvujWIwSZrPM9/+4JVu+EQX455sWIKCfDRR7LPicJsQMG1jTtJHVcKaFU8vY/PVlDvcLnSYssqj/3bSKr9BGKBCDzN+WRJGBQJzv/TF30fH5S6Yzf4I3N09m7oFRFhC04djDiAiUF9nxh+Lc/8JBegdjXHjaOAqcFn75+O6MXAt89ZrZyKLIxnfa8RZYOG1GGUVOE8FYGg1daC9zuxANMqTSqCqoAgSjKcxGiYFAnO/+4e1sXJIkcOfnF9LdHyYUTVFV7KC40IEkChiNMsmkQjKtcLwnlCmTysys87L1QA/PvN6EqsLsCT5uvGASwWiaYCSJ12Wi0G6kN5ggGksjyyJehwmDJBJPqwjoQoJD0RT7m/30DsaYXldIpdeG0SCSVnV11GAsxea93ZiMEqmUSpHHwuRqNxr6IsUkixmPcyHjG6+867pEywhJCZoufz4Y1hOM3WbAZ9cXPyqibsWraIgixNMgiTCcaoaVB/r6QsQVhVBUvzcmoy6M8sj6w2w/0IvXbebT509mYpXrQ0mmnJLJ4Ze//CUvvKAfMC1btoyvf/3rbNq0iR//+MckEgnOO+88brvttg/1nh8mOQz19iDEgyQPbybV3YR5wiKkisn4U2YUJGRBQ9AUDnXFGQzGkURBJwx1BHh0wxHSisqEqgJuWj2Zdw71IUl6f/3ciUUMBOK094WxmQ1UFNmxW2Ui0RSapmEyGXj8lcOcO68cs8lAa1cQg8lEiddGOPMwBSIJHl1/hEuW15FKKTyy/jD/cv0MegbjxJJpqsoKeWTDEeoq3CTTKkZZ5FhngFWLx7GnqQ+72UhliQO7WaZ/KIGKRoHdhEEW6OyPEool8bktFBVYCHZ3YkwOohhsSO4y1u/o4Kx5lSiqxsMvH+SG86fSNxQjlkhTWexg5+HenMPwq1ZOoK7MSTieBjQ8DguBSIJNjV0kUwrnLqzmrcYuNo6qy996xUy8bjPdA1HsViMep4k/r92n9+orKlPGFbKpsZNoIo3TZqSpbYhbLp1Oa3eIUDSFzSIzsdpDNJ6iayCKySBS5rVhMsh09IVJK/oKT9N0n+pEUtEPQMMJHnrxEF39ESwmmW/fOJ9Xd7Tz2jvtSJLAOQuqWTy9lJbuEPFkmjKvjWKXhf5QgoGATjZ02Q0cbBnCYTEgigKd/RF2HOxl9gTdAKepI0AqrXLZmfWZg0kDdquMKIj0+KM4bUbKvVYSKVVPKIKA2SjR1D5Ea08Yo0EiEEpw1rxKhsIJ4kkFs1Gi0GXGH4ijZDSP7GYDybRCMKKPK7NBxFtgxWs3ZrWkBiMpNjd2YTRKxBJpZk0oQulrwRnvRBNEBgwlSJ4KbFYD6bSK2Sjxm8f3cMa8Sr2GH0+x9q1jfPHSGRgMEqoKAhp9Q3EOtQ6STCk0VLmpLLbz7FvNNLXpDPjF00p58MVD7D7SR6HLzGfWTCWVSmefk5VzSvndMwc43j2yzfzaNbPwh5Js29/NlFovM2oLaesNs3lvN4VOM4uml/Krx3YxrdaLzaKzssuL7DQe66fYY6O5K8CqJeMZCMTYtKeLqmIHC6eWEEsqNHcFEQX9gHpTYycbto2MxVsumUZpoZ3ewShuh4lCp5nmriB7jw1gtxiYXu9FAB5dfxhF1TuRTptRCmjEEgp2iwFZgA5/jM6+EA6riZpSB/5ggqFIAjQoL3LQ3htm4ztt9A3GmDOxiLmTi4nFkphMMtFoivIiO/GkQjiWRhRFnDYZoyTS0jMiF/L8pubs+dbMBh+yJLD9wEg7qyjAD29Z/KEY0qecfMamTZt48803eeqppxAEgZtvvplnn32Wn/70p9x///2Ulpbyuc99jtdee41ly5b9TWIQUjGGnr4TJaR3q8Rb9iKs+jYbmg1s2d9NTamTC5aO58lXj9CRacO8YdVkHnppZGI81DrIc5uaKSu0sWFbG3MmFtE9EOU/HhrhR5R5bdxyyXS++3t9lbd4ajEXnq5P+mlNwOd1YjEbuHvtPo60DWUfprPnV3H32n0YDRJXrpjA1sMBHsz87dtvmEdFkSMrYS0I+qoxpai47frBZDSeRhQF+gJRFFXDZBAJ+hNomoAoCERiKezGAcSNd+pWm4KIdek1XLx0KYGE3hr5mTXTeOjFQ5T77JgMEmaTzMOjPj/Aoy8f4mvXzuGxDUfwOE1csHQ8T208yoRqj16KkoScxADwlzeauOKsBvoDcYKRJJqmsmhaKR19kWwP/dRaL283dnGsPcD8KaXsP+5nWq2XaDxN32CEUCTJpsZOSgtthDTYeaiXmlJX9p5MringrHlV/PEv+4gl0vjcFq5e2cCVp1dS4UiDwco7xwfYkCHTpRX4yxvHqCl16juOpN7Xv69lkN891ZiN/dLldfjcFh7dcITqEgcz6r2UeW08ul7vSJpaW8i8ScVs2dvF2jeP43WbueWS6USicbwuM/GkQiiWYtv+Xl7Y3IwsiXzq3AmgCWzY1koommJmg49oIs39LxykrSdETZmTm1dPZcP2Nrbs68Zqkrlq5QRqypxs2tOpy6NMLsLlMLNpXw/BaJLiAisetxmzWedMyJKArCYp2PZblAznpfS0z9CSKOXp144xEIgxf3IJN180jdfeaWfn4T6mjPfw5Stn09QRIBBOIIkik2o8dA9EdJkWSSQYSdHWG+atXZ0oqkZpr417n9vPvgzpbyAQ56cP7uB7Ny9k6cxyBHTV19GJAeCe5w8we0IxjU0DNDYNsK3cRU2Zk52ZXv43dnXw3c8sIBJPkVY0ChwmjnXovhrvHOxjam0h3QMRev1R9hzt52Czn2l1Xn752K4sP8jtMHHLJdN5dUdHdhH50IuH+Pwl0wlFkyiKSiiq+5sPY8P2Nr52zWzGl7uJJdKYTRIHWgZp7grR2R+iqtjJginFxJJpEPTzk1hSYSAY5609utvd+YvH8esndmdbvtt7w6gqVJbY2fj6cSaP8+B2WfjL601s2duN2aTLaTyw7mCWD2QySnzr+rnMn1xCIqXv4m//9aace6hq0N4X+d8tn+Hz+fjmN7+J0ajXLWtra2lubqa6uprKSr07YfXq1axbt+5vlxwG27KJAUCqmc19W8NsPaQfCnYPRNl/3M83rpvL9oO9KIpKMj22XXD7gR7OnFtJjz+Kx2nO8RwA6OyP0D+qRfC8JeOIxtM8sO4AHb1h5k8pYVqdl6PtQ4D+MP3nQzu4csWEzKDW2cP/9Kk52TZSo0Hile1tXHyGLosgoOErsPDzh3dm2wNPm1nGomml/Okv+wA4a14lRlnihQzhThQFvnrlNKpko54cNJXoGw9gKarjSJcZQdAtL8eXuVj75jGi8TQ3XziVEzdmqgYtXSE6+sJ09IU50Oznq9fM4XdPN5JMKZhNMpefWYfRIJNSVAyygNdlyR7wiaKAySCTSCocbPZjlEXmTS7hnmf3Z9tdn3m9iVVLxqEoKjsP9TKtzksknqKpI8Ar23W9njWnjafcN1JrnT2xmF+NYhAPBOP4GKTw8MOkOo9inrSUba2zx36fB3to7wnTmuFMfHrV5JwuoCc3HuU7Ny2goy9Mjz/CnEnFbBzl4rW3aYD6Sjfjy3Uey+VnNWA1yTS1B3h+czMVRXYWTyvjqY1HR3Uw6ZILw9h1uA+zUWJ2g49FU0sp81l5Y3dHloMQiaf501/28ZVrZrNln/672nIXshRix6FeWjMH0ounl+IPxNl2oIdSrx1fgZUJp3+B6JAfUYCkdyp33bs9e6D59OtNpFUVNaOT5LQb6egL86e/7M129Hz2wqn85Y1j2fZmSRS45ZLpzKj38s6hPmrLXTkHvKCXL1u6g9zz7H4EQeD6VZPG3PehUDKnR7+pI8D8KSXZnxMphYMtfh5Zf5hkSuVfbl7Agy8ezHYX7jjYy1A4wQVLxwOwaFopW/f35BBHh0IJ9jX1M6Pey85DegNBPJGmqSPA468c4fSZZTR35YrxRWIp2vvCbGrs1KUudsLtn56ncy9kGZNBYm/TAKVeO4OhBJFoCqtZpmcwRl2lrrrbPxgbwwVa93Yza04bz/7jfvYf97N1fw/XnDORGfW6eOZAMJZNDKA3LbT3RXhw3UFiiTSXnlmHx2keoz5gNX200/nf3Sa0vr6emTNnAtDc3MwLL7yAIAj4fCPetEVFRfT09LzLO/z1OHGSC5fOySaGYQQjSdp7wzz/1nE2vtOOySAxvd6bc011iTNL8Kotd43R0QGIjmovlESJf79/Oy1dIdKKxqY9XWza3cnsCUXZa9KKltMXDrDzSB/zJhUDoKT1s4sX327m0fWHefbN47qY2qjr39ilryiHUVpoyyYG0B/Y3689SHrRjTl/JzbQx73P7efBdQdJpvWS1vAD2DcYxW3P7YZw2Y3EkyOfL61oHO8KEgwniMbT7Dnah4bAQy8d5NH1h3nx7RY04KGXDvHo+sPc9/wB3t7bxZG2Idp7wxzrDNI3FB3jarbxnXaOdwV4YXMz/kCMzY3dtGQeZEXVeCrTcilnDplNRinnO14+zUNBo54YANK9LdQUjn2QCl0WhsIjrbbrNjezePqIe5qmjXAKJlV7ONQylt2940AvNWUOzllYzaRxHjZsb+O/XzrEoZZBNmxr4xeP7mL1aeOz15+Mo7D9QC+FBRYe3XCY5zc1M67MNcZKs3sgkmVA69yXg+w42EvfYIzOvggbtrbx3KZmegdj7D7Sx33PH8BvLOOfn4ty+7NReofiOQZSoGtUDY/FZbMqeH5TczYx2MwyvYOxnDGuqBqv72pnfLk7+/PJ+BTxhIKiaqQVlVRKHWMbumRGWQ7T+mRQlJHzmnA0NYbw1tQeyDYmSKKQY9U5jB5/NMcYa/mcSt7eqzO3a8pcJ+eLJJVsF9yKeVU89OIhHn7pEG/v7eKR9Ydp6w1jkiUeXX+YAy1+QrEUa19v4uGX9OtOdgRgNkokUyP3vrU7RGt3iN8+2cgD6w7mMOiH47x77b7sIiUUTXHJ8rocQuHU2kJcH7F73sfmIX3kyBFuuukmvv71r1NZWZnjsapp2rt6rr4bCgvt+HyO9/0PIGItQ3SMTPSSmkI+CYU9EEmQSCkEI0nufnY/i6eVZtv7bBYDS2eUseuwPqjDsZROyhqFYYLPMHr8kTHKl41NA8zNTPzDODE5eJym7MC1mI089NKh7MMRiae597kDnDWvKjf2cBIx85FO+tnCSWKWopzfdSfNqJpu1XkiH+GlLa1csaKB6hL9HlaXOPjUORN5aUuuzpGUOfQGmDuxmMdfOZJ9qBdNLdPZ36Nm7vXb2pg4yoD+xIkDdFez9kzrrtNuZM/RvjHXdPtj2Qe/4IQJamqJhNIz0lacHmjjzHF6zXgYPrcFm8WQM/kFI0nsozgxTpsRa0bZU5DI+W6HMaG6gOffaubtvXpZ7MSy2lA4kSOpYDiJxHKZ15Yl2B1uHeK/XzrIygXVOdc4babsWIrG0zlxT6vzZie9YcQS6ZzEdzL3QJvZkB3fyZSSY4trMspE42NZ5YFwkl6//t1IosBFp9fmtMDOmViUZfYCvLSlhS9cNoOaUic2i4FzF1YzodKdc019pTuHFGc2SlSVOLPJzGoem9iHxQUBNjV2sWhqyZhr5k0uocRjpSojlaFqGu29+grdH4yzbHbu8yuJAqVeG+nMePUVWDg+Kk6AN3d1IGd8t2vLXew7NpCjpeSwGCgqyPXqPm/xON7YnctYHz76HQol8Lpzr1dULYe067abeGFTM9ecM5ErVzTwqXMmZnfkH2QOHP7vvc4b4GPiOezYsYNbb72V22+/nVWrVrF161b6+kYe+L6+PoqKit7jHcbiwxxIHxqQEKbcRFX8EKZAC5LDyUWnF/L4qyOkn9py1xgG5bGOAJ+9cBrBSAK3w8TepoHsRPj0a01cd94kBAHebuymwGli1ZJxWEcRaQzy2JY3m1nGOSrj61IbIysYl93I9FofL72tC+4NBKJjtqmxRHrMw17gMGXbKYsLrXqH0qjbU13iwDo88Yky4sKreXJnRnZZG7tFjSXSvL6rnevOn0T/UDyjH6PlEK88TnOWYQyMSYQW81jdICBnBetxmil0mXM8dVcvHc/eJp2cFQgnGVfmyvGdBv2BGWaIKorGeYtqsrulwbiAaHWiRkcebNvm3/GD6+/gSJ+KIEKFz873T+gAWjG/ip7MCrSm1Mk5C6sJZuIfCiYoLbTRUFXA4Yw+lM9tobLYzp/X6kzd9t5wVmpiNEYzWQdDcabXedlzVP98siSycmF1DuN9WNp5GLUVLhxWQ3ZVbzTkJphUWu+uG/3dQO74c9lM+AosOQng3EXVNHfqO7KXt7Zy2qxy1r6ht8z6g3HKfGMnk3MWVJNIKkiSRG2Fi/ueO5AlZ9nMMoIg6PLhGfT4o/T4o0yrLUQDSr02uvqjXHxGHcc7A1QVOygptGI0SAQjCZw2/ZC3qX0oW+ITRTFHmA/08yCrWWbWBB/FBVYKnGYuO7OOtW8cRxQFVp82nkQyjSyKVBTZqSp15pD8tu3v4YKl47hyRQPbD/RgtxqZN7mYUDSZvY8nm15UjezuubkrmLNjB2jtDXHW3CoSaYVAOEFthRv/UCxH+mJ8uSsreQ7wzqFePr1qEk+8cpR4Mk2Jx5qjTtDZF8ZoEMeUsRdPL/tQJkan3IF0V1cXX/ziF/nZz37GokWLAJgxYwbHjx+npaWFiooKnn32WS699NK/WQwlbgPferQbt6MYr7uGlsYgn11TzZevmsWh1kEqixwIAjmHkaCLuz344sGsLs+3rp/D/Ao43p9iXLmbSDzJlHEepo7XiXOqpjEUSfCja3W9f81uYFqtl8amER2h1aePx2E1cMWKBoyySO9glDKvnZtWT0GWBKqKHXgtaX50zXgUVSNuNCNLYk7pxSiL2RKDKMCa02tzVonBcILrzp/MUxuPEowkqSp2cPb8anojIur8LyGY7ewfMHKo43j2NUfbh5hWV0jj0YHs37h0eR2JhIIo6AzbxqY+Pr1qMj0DEawWA/WV7pyJwGzM1Q3q6o/kaMQMxzusgSMI+gO2Yl4VaUUlHEtRUmjj7cZOGqo9QA/PvnGMT18whbaeUHa1PG9yMb4CM1evnICq6Wcwr+xo41PnTCSlqBQV2xGKPw0bfpUl+Wk18xANMoXGEAIakujg1itn8dTGJvxBXaJ80ZQSXt/VwRVnNRCMJvC4zBglkUuW11FgN2E0SMxs8DJnYhEaesL9jwdHGhK27OtmxbzKHOvUYo+FqmI7V62cgIDe2nnGrAoOtQ4SS6Spq3Dz68d3jyn5NFS5uXH1FCxGifIiO6FIguVzKoglFBxWI5NqCjjQrCept3Z3cPEZtTmdZTWlzpxdWXtviDPn6J1pwUiSkkIrsiRgMEismF+Fz21hWl0hyZTC+q2tOGxGSgqtfP7S6Tz35nFiyTTLZ1ficZrZfaSX6hKH3hVU5sw5Q7lh1eQcuYyiAgsTqwv4wZ90dcarV05g7ZvHsFkMlPvsbHynnWAkydXnTCAQ1kUKX93Rxo2rJ5PITMIt3UHdhve8iaTSGlazjEEWuXvtPmrKXGzr7uFAs59F00u5YOk4VE3j9Z3t/MNF09jf7KdnMIqaVvn0qsnc8+w+IvE0gXACn9tC72AUn1vfQcuSSInHwqwGH5F4mvFlToo9Fnr8Iwl1wZQS3tyl7wJ2H+nn06smZxM9wNOvHeO2q2fz+jttRGJphkIJ5kwqzhAEh6ivdFPksfJfozSc9jYNsGhqKWfOrcRokNhxsIcrVjTw6PrDaJqeyL756Xn88rFdDAT0bspLz6zH+xEeRsPH0Mr6wx/+kCeeeIKqqpEyyFVXXUVNTU22lXXZsmV861vf+lClpQ+zcxhsb2ZPS4Tfv9hKMJKkrsLF5870YXW58EdUREFDMJj5/p+3ZVfphU4zX712Dtv2d9M/GGPB1FLqC1XSr/4OLdCLVDyevZVX8NK2dmY2+AhFkuw60sctl0xnMBhHlkQ0VDp6o8iyqK/uDBJuuxGbEOfNgwFqS6xMLTfy+pE4RR4byZRCKqUwucbDwGCIuALVhUY6Aiq/zchNy5LADRdMIRhO4HKYQINXdrRx8+opujmRouKwGvnpgzs4bWY5ZpNMjz9Kd79+IP7guoNUFjv4zJqp/MdDO7Ir+8piO5+/ZAZH24dIKypuh4nKYgeKqpJIqthMEtsP9vLwy4dxO0zEE2kE4F8+u5Cu/ghpRaOmVCc3PfzSIZJpFV9GFuLe5/bT1BHAZTfyDxdNo9BpprFpAIMsUlJo5Sf3bcds1DukhkIJptV5mVHn5flNzUwe52HNaePp9kfpHYxiNkoUFVg52j5EZ38Eo6zf05kNRTzzWhPN3UEWTS3htBmlxHtaMMT6UQx2VFcFpR4TptatIMkEyhbQ0hfDaTchaLqlarHbQl8gRjCiK+NWFdtJplT6AjH97zhM7D3WTyKp6qtgj5WfPZyrMHrG7HKm1fnYcbCHymIHsxp8xJOKXv8WBIo9VkQ0BjP33WyUONoR4JFR+v5rThvPkumlmZWr7kD2vT9uwWE1YjJKGA0iF55eS0dfmEA4iddlYUKNm/aeMM1dQTxOMxOqC3hs/WH2ZKRN5kws4rzFNax94xjhaIrp9V6WTC8lEE6RUnRJBptJJhxNYbUYUDIqrK2ZpKyhl6HGlTlJppVMktLLdFv2dbO5sYuKIjsXLB2Hw2KktSeEIAqUeKxIgkYkmiKaSFPus3PfukM5E2pNqZNJNZ7szm9SjYfPrJlC90CUZEqhzGvjO7/fTCrDZ9E0/T7PbCiipSuEy2GkpMCKIAps2deNJArMmVhMMp2iwGFBFCCWTKOpApF4iqFQQue5FFp4bMMRZjUUEYml8IcSnDG7nERSP6g3ZORd3tjVycGWQeZNLmb2hCKeeb2JTY1dlBZaueWS6RxpG+LxV44gCAJXrqhnYo2HgUAcTdOQJZFCl5newRippC7g6XKaeOKVo7xzqBeTUeLiM2pJp1Qef1UvhRYVWPjcxdMQEIgm01gykuxFBVYGAnFsGQZ8od00hhj4XjgleQ5/C3woEpw/hGGohf72NmJpKDBpmCsn8eTOEJNq9LY4r1tXn+zoCyMKAuU+Gx6nid7BOJIEkihS4bNjIgnJKJhsKIKRo51Bdhzsxee2MLPBhyhAS3cIVdOo9NqwW40c6wrSNxSjptRJbaEELTvQeo+Aw4exbj7bOg0MBGMIgkC510ZDuQNr0g9qCtXsBk2lKyLQH0zhdRqxmCTueeEI2w/0YDPL3HDBZGQJ+ocSGAwiqBolXju/e6qRwVCChio3N6+ZSjyRJpJIY5QlPA4jsiTQ3hdBkkTKvTbd1yCaQlG1jD2qyl2P7qazL0KZz8atl8/kQIufF99uweuycMWKeioKrTkDNJZW6R3SDzJ9bgveDMU/FEtjNkhYjVLmjEm/PpFWefqN49nVdoHDxLc+PQ/Qa+s2i4zHYSIQSRKKppAlgWRa5ft/3JLzPX/5yplUFttRMitAq0FkKJJkIJjAbjXgdZqxyGJOfdwfTtEfjKMoKnaLgSKXGbNRQkM/VzzZ+IqnVXoGY6RVlaICK3ev3ZfVJwK4/vxJnDGrjGRKRRIE3UNbgEBUl2lwWmXQIKFopBUNq1EkrWh0+aP0D8UpLrThcxqRJZFYSkUQNGxGCX84xaG2IRLJNBOqPRQ5TAyEdYc6t92IyyKjojO0JUG34zzeHaKjP4IoCFQW26ksshGNKyRSKm67AYssklA0wrEUNrMuOZJUdD9ogyRQYDfROxSnuStAIq1SU+qkvMBKGg1FEzBJApqqcyxC0SRGg4jHbkKWRfzhFAIabpuRg21DRDOOg5IgUFvppvFoP1v39TCzwceiqSXEUwrdA1GMski5z4YjU+Yc/r6O90T41RO7GQjEGV/u4paLpyEJ4A8mMJkkNBX+5Y9vM7PBh6KoNDYN8J2b5lNgN6ECdpOMKMBAKE40nsZslCl0mlFUjZ7BGCajiM9lRtNgIJxAVTTcDiM2g6Sf5QkimgpqpnYbTakYJAGDqBMeowkFBLK+4nFFI62qWAwSekGWLMNfEmAolsYfiiNLEj6nCVkU6Asm0NDw2E2IQIdf9wgvKrBQ4raAKDAUTmIwiLgtxmwsHxT55HAChmn+ggAocUgnEM0OFFVnUw6FE9jMBpwWGQ0IxvSH2GEx6L7JGaETUdPe1cPWYBBRVUZ8lyUx45c88uXlyDQLIEugqEKWnRpLqdhtJpRk+l3/zrAxDZCJVT9Yd5hlNA1C8TSqpuG0GBDQiCVVYikFR4a8IwggSkJmkL+7TMVor9+kohFJpLGZZYyioNufqhoFbovO5H0XvJtn9smgaPpDG08oeN1mrCfRxB+NeErlubebeWFTM6qmr4qvP29idkI5MQ6v990N5ofVZ0efnXwYRJMKLT0hegZjVBc7qPDZciwwPyzeze94GB/mvoqiQDSpIAi6nMT/9NE/2T16vzhHQ9U0BkJJEqk0HocZm0nSqwSZ45kP8hwPPyOxpKJLbZxwjxVN42BbgKc2HkUS9VJgXZkDSRA+VKwfN/6WseaTwwnID4y/DT7uWDVgKJpCUVQ8DtN7tuH9PWL9MJP2e+Hjvq8fFKdqnCp6zhmdOk7VWE+GjzM5fCJVWfP4vwcBKPiIzU7+GvzfWHL978fH1qv/fwD5e5dHHnnkkccY5JNDHnnkkUceY5BPDnnkkUceeYxBPjnkkUceeeQxBv9nDqRPphXzUVz7cSMf698G+Vg/evxviRPysX6Q9/0/08qaRx555JHHR4d8WSmPPPLII48xyCeHPPLII488xiCfHPLII4888hiDfHLII4888shjDPLJIY888sgjjzHIJ4c88sgjjzzGIJ8c8sgjjzzyGIN8csgjjzzyyGMM8skhjzzyyCOPMfjEJIe1a9dy/vnns3LlSh588MGPO5yTIhwOc8EFF9De3g7Apk2bWL16NStXruRnP/vZxxzdCH75y1+yatUqVq1axZ133gmcurHeddddnH/++axatYq7774bOHVjHca//du/8c1vfhM4dWO97rrrWLVqFRdeeCEXXnghu3fvPmVjfeWVV7jkkks477zz+OEPfwicmvf1sccey97PCy+8kDlz5vCDH/zg44tV+wSgu7tbW758uTY4OKhFIhFt9erV2pEjRz7usHKwa9cu7YILLtCmTJmitbW1abFYTFu2bJnW2tqqpVIp7aabbtI2btz4cYepvfXWW9qVV16pJRIJLZlMatdff722du3aUzLWLVu2aFdddZWWSqW0WCymLV++XDtw4MApGeswNm3apC1YsED7xje+ccqOAVVVtaVLl2qpVCr7u1M11tbWVm3p0qVaV1eXlkwmtauvvlrbuHHjKRnraBw+fFg7++yztc7Ozo8t1k/EzmHTpk0sXLgQt9uN1WrlnHPOYd26dR93WDl49NFH+Zd/+ReKiooA2LNnD9XV1VRWViLLMqtXrz4lYvb5fHzzm9/EaDRiMBiora2lubn5lIx1/vz53HfffciyzMDAAIqiEAwGT8lYAYaGhvjZz37GLbfcApy6Y+DYsWMA3HTTTaxZs4YHHnjglI315Zdf5vzzz6ekpASDwcDPfvYzLBbLKRnraHzve9/jtttuo62t7WOL9RORHHp7e/H5fNmfi4qK6Onp+RgjGosf/ehHzJ07N/vzqRpzfX09M2fOBKC5uZkXXngBQRBOyVgBDAYD//Vf/8WqVatYtGjRKXtfAb773e9y22234XQ6gVN3DASDQRYtWsSvfvUr7rnnHh5++GE6OztPyVhbWlpQFIVbbrmFCy+8kIceeuiUva/D2LRpE/F4nPPOO+9jjfUTkRxUVUUQRuRpNU3L+flUxKke85EjR7jpppv4+te/TmVl5Skd66233srmzZvp6uqiubn5lIz1scceo7S0lEWLFmV/d6qOgVmzZnHnnXficDjweDxcdtll/Nd//dcpGauiKGzevJk77riDRx55hD179tDW1nZKxjqMhx9+mBtvvBH4eMfA/xk/h/dCSUkJ27dvz/7c19eXLd+cqigpKaGvry/786kU844dO7j11lu5/fbbWbVqFVu3bj0lY21qaiKZTDJp0iQsFgsrV65k3bp1SJKUveZUifX555+nr6+PCy+8kEAgQDQapaOj45SMdfv27aRSqWwi0zSN8vLyU3IMeL1eFi1ahMfjAWDFihWn7BgASCaTbNu2jZ/85CfAxzsPfCJ2DosXL2bz5s34/X5isRgvvfQSp59++scd1ntixowZHD9+PLstfvbZZ0+JmLu6uvjiF7/IT3/6U1atWgWcurG2t7fzz//8zySTSZLJJBs2bOCqq646JWO9++67efbZZ3nmmWe49dZbOfPMM/njH/94SsYaCoW48847SSQShMNhnnrqKb7yla+ckrEuX76cN998k2AwiKIovPHGG5x77rmnZKwAhw4doqamBqvVCny8z9YnYudQXFzMbbfdxvXXX08qleKyyy5j+vTpH3dY7wmTycRPfvITvvSlL5FIJFi2bBnnnnvuxx0Wf/rTn0gkEtmVDcBVV111Ssa6bNky9uzZw0UXXYQkSaxcuZJVq1bh8XhOuVhPhlN1DCxfvpzdu3dz0UUXoaoq11xzDbNmzTolY50xYwY333wz11xzDalUiiVLlnD11Vczfvz4Uy5WgLa2NkpKSrI/f5xjIO8El0ceeeSRxxh8IspKeeSRRx55fDjkk0MeeeSRRx5jkE8OeeSRRx55jEE+OeSRRx555DEG+eSQRx555JHHGOSTQx55vA9uuukm/H7/xx1GHnn8XZFPDnnk8T546623Pu4Q8sjj745PBAkujzz+p/jWt74FwKc//Wl++9vfcscdd9DV1UUqlWLVqlXccssttLe3c8MNN7Bs2TJ2795NMBjkn/7pnzj77LP5xS9+weDgIN/97ncBcn6+7rrrcLlcHDt2jKuvvpqLLrqIH/3oRxw+fDgrT/H1r38dWc4/pnn8/ZHfOeSRx3vgxz/+MQD33nsv3/rWt7j00kt58sknefzxx9m0aRPPP/88oDNbly5dyuOPP85Xv/pV7rjjjg/0/k6nk+eff57rrruOO+64gylTpvDkk0/y9NNPMzg4mDUoyiOPvzfyS5I88vgAiMVibNu2jUAgwF133QVANBrl4MGDTJ8+HYPBwLJlywCYPHkyQ0NDH+h9R8u0b9y4kcbGRh5//HEA4vH4R/sh8sjjQyCfHPLI4wNAEAQ0TePhhx/GYrEA4Pf7MZlMDA4OYjAYEEUxe+2JrxtGKpXKed9hgTXQ5ZnvuusuamtrAd034VSSks7jk4V8WSmPPN4HkiQhyzIzZ87MlnmCwSBXX301GzZseM/XFhQUsG/fPjRNIxwO8+qrr77rtUuXLuWee+5B0zSSySSf//zneeCBBz7Sz5JHHh8U+eSQRx7vg3PPPZfrrruOH/zgB+zevZvVq1dz+eWXc8EFF7BmzZr3fO2aNWvweDysXLmSW265hfnz57/rtd/+9reJRqOsXr2a1atX09DQwM033/xRf5w88vhAyKuy5pFHHnnkMQb5nUMeeeSRRx5jkE8OeeSRRx55jEE+OeSRRx555DEG+eSQRx555JHHGOSTQx555JFHHmOQTw555JFHHnmMQT455JFHHnnkMQb55JBHHnnkkccY/H8Hz1Jc/gZDOgAAAABJRU5ErkJggg==",
-                        "text/plain": [
-                            "<Figure size 432x288 with 1 Axes>"
-                        ]
-                    },
-                    "metadata": {},
-                    "output_type": "display_data"
-                }
-            ],
-            "source": [
-                "sns.scatterplot(data=data_no_mv, x=\"tenure\", y=\"MonthlyCharges\", hue=\"Churn\")"
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "Das Streudiagramm deutet darauf hin, dass Kunden im oberen linken Bereich, d. h. Kunden mit hohen monatlichen Kosten und kurzer Betriebszugehörigkeit, am ehesten abwandern."
-            ]
-        }, {
-            "cell_type": "code",
-            "execution_count": 158,
-            "metadata": {},
-            "outputs": [{
-                    "data": {
-                        "text/plain": [
-                            "<AxesSubplot:xlabel='tenure', ylabel='TotalCharges'>"
-                        ]
-                    },
-                    "execution_count": 158,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                }, {
-                    "data": {
-                        "image/png": 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",
-                        "text/plain": [
-                            "<Figure size 432x288 with 1 Axes>"
-                        ]
-                    },
-                    "metadata": {},
-                    "output_type": "display_data"
-                }
-            ],
-            "source": [
-                "sns.scatterplot(data=data_no_mv, x=\"tenure\", y=\"TotalCharges\", hue=\"Churn\")"
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "Es besteht eine rein logische, lineare Beziehung zwischen der Dauer der Betriebszugehörigkeit und den in Rechnung gestellten Gesamtkosten. Je länger eine Person Kunde ist, desto mehr monatliche Beträge musste sie bereits zahlen."
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "## 2.4.2. Kategorische Merkmale"
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "### Abwanderung (Ziel)"
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "Zunächst wird die Verteilung der Zielvariablen Churn untersucht."
-            ]
-        }, {
-            "cell_type": "code",
-            "execution_count": 159,
-            "metadata": {},
-            "outputs": [{
-                    "data": {
-                        "text/plain": [
-                            "Text(0.5, 1.0, 'Abwanderung im Vergleich zur Nicht-Abwanderung')"
-                        ]
-                    },
-                    "execution_count": 159,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                }, {
-                    "data": {
-                        "image/png": 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6uZr01xIUFMScOXOYNGkSWq2WVq1aodfrS11YLk/+/v707t2bFStWMGnSJNfrjz32GDNmzCAxMRGHw0Hz5s2v2iVAr9czd+5cXnrpJebMmUODBg0ICwvDbDZTVFR0U+uLiYnh2WefdXURCg8P54033uDEiRNl2pc33ngDm83GjBkzXB/WVq1a8frrrzNixAjuvvtuwsPD6dGjx5/uXvHoo4+SnJx81fdmz57NK6+8wueff45Go+H11193tSKvpV+/fowePZq5c+fStGlT1+tff/010dHRdO7c+YrtDxw40PUH12KxkJiYiM1mY+rUqTRs2BCA3r178/HHH9OlSxcAunTpQmpqquu0eOLEiUyYMAFfX1/8/f3p0KEDJ0+evG6tI0aM4OTJkwwaNIigoCDq16/veu/555/n9ddfZ/DgwdhsNrp06VKqq9fvTZ06lWnTphEYGEiXLl1ueIwApkyZwtSpUxk8eDBBQUHUrl27VGvvCte8OifcKi8vT82YMUMVFhYqpZRKSUlRcXFxrovzVdH06dNVVlaWUqrk4nqHDh3UpUuX3FyV8CQLFixQv/76q1JKKYvFou6++27Xja2rqXItOFHC398fg8HAPffcg16vR6/X8/bbb1fYKWp5qFOnDmPGjHFdJ3nttdf+dP88Ia6mcePGvPrqqzidTmw2G/369XNdh7wajVIy4aUQwjNVuZsMQghRXiTghBAeSwJOCOGxJOCEEB5LAk4I4bEk4IQQHksCTgjhsSTghBAeSwJOCOGxJOCEEB5LAk4I4bEk4IQQHksCTgjhsSTghBAeSwJOCOGxJOCEEB5LAk4I4bEk4IQQHksCTgjhsSTghBAeSwJOCOGxJOCEEB5LAk4I4bEk4IQQHkuebC8qnVIKi9WBw6nQaMCg16LVaikqtpFXaCO3wEKx1YHDoXA4FQ6nE4fDicOp0Ou0BPga8TXr8TUb8DHpMRl1GA1abDYndqdCp9VgMujQajXu3lXhZhJwokJZbA7sdicmo468Qiunz+Vx9Ewup87lcfZ8ATl5xeTkWSgost3SdrRaDeFBPkSE+BIR4ktkmB9RtQKpW9OfmsG+2OwOtBoNZpP8ynsTjVJKubsI4TmKLHY0GnA4FKlpOew8eI7UtBzSMnKxWB1uqUmv0xBVK5Am9YJo2SiUZvVDCA/ywWJz4GPSS0vPg0nAiVvicDix2BwoBb8ezOSX1Ez2H7vA2QsF7i7tukxGHa2jw+jYshadWtTCz8eAQmE2SgvPk0jAiZtmtTtwOhUFRXZ+3nWaTbvTOXQyh+r8mxQR4ku7mJp0u70OTesH43QoOZ31ABJwokycToXFaqfI6mDVluNs3nOWU+fy3F1WhQj0MxLfpjb9uzQkMswPjQaMep27yxJ/ggScuK5iqx2tRsOvqZl8s/EYKcfOV+uW2s2qFepLwh316Ne5ASajDl+zwd0liZsgASeuqqjYTkGxjeUbjrJu50nyCm/tLmd1p9FAu5iaDO/VlOg6Qeh1GnQ66UZa1UnAiVKKLHYuXCris/8cYNu+s17VWiurehEB3NurKZ1bR8rpaxUnASdcHW/PZOXz2Xf7+S01y90lVQvBASZG9Inhzg5R6LQa9NKiq3Ik4LxckcXOmax8Ply+l/3Hs91dTrVUM9iHsYNa0qFFLQx6DVqtBF1VIQHnpYotdoqtDv6dtJste866uxyPUL9WAA8PbU1M/WDpT1dFXPdPzbZt2xg9erTr6/z8fIYPH8706dOvu9KHH36Yc+fOlUuBTzzxBIMHDy71WlJSEpMnTy6X9d+MPx6P6shmd1BstbN03WEefO0HCbdylJaRx9T3tvDyh1s5l11IscXu7pK8Xpnb0gUFBYwbN46OHTveMFw+/PBDIiIibrm47Oxs9u/fj5+fH7/++ustr8/bFVvtbN+Xwfg3fmTxj4ew2Z3uLskj7Tt2gUem/0jST0ewWO04nHKc3aVMAVdYWMj48ePp3LkzzzzzjOv1jRs3cs899zB06FAef/xxcnJyAEhISOD06dMkJSUxceJEHnzwQXr37s3LL7/sWvaDDz4gMTGRv/zlL8ycOZOrnSmvXLmSDh060KdPHxYtWlTqvbS0NEaNGsWgQYOYNWsWSikeeeQRNmzYAMCcOXMYN24cAJmZmQwaNAiAt956i+HDh9O3b19Gjx7N+fPnAYiPj+fVV19l6NCh3H333Zw6dQqATZs2MXDgQO666y6++uqrUtsfO3YsiYmJjBw5kv379wMwefJkHnnkEfr378+6detcxwJKtwBHjx7NzJkzuffee+ndu7er7oyMDP76178yePBg/vGPf9CtW7ey/Iiuy2pzkFdoZeb8nUyfv5OcPMstr1Ncn92h+HJNKk/MXs+RUxcpktacW9ww4IqKivjb3/7GoUOHGDNmjOv17OxsZs+ezccff8zy5cuJj49n1qxZVyz/22+/8e677/LNN9/w008/kZqaysaNG0lJSWHp0qUsX76cc+fO8c0331yxbFJSEv3796d///6sXr2aixcvut47ffo0c+fOJSkpiV9++YW1a9fSvXt3tm7dCsDOnTs5duwYDoeDn3/+me7du5OWlsaxY8dYtGgRq1evJjIy0rXdrKwsYmNjWb58OR06dGDhwoVYrVYmT57Mu+++S1JSEmaz2bX9SZMm8eyzz/L111/z6quvMnHiRNd7QUFBrFq1ioSEhOseW5vNxuLFi5kyZQrvvPMOAK+//jr9+/dn5cqV9OvX75ZP9YstdnbsP8f4N35kx4HyuWwgyu7s+QKeefdn3v96D0UWOw6HtOYq0w2vhO7du5e///3vNGrUiKlTpzJv3jwAdu/ezdmzZ7n//vsBcDqd1KhR44rlb7/9dvz9/QGoV68ely5dIjk5mT179nDXXXcBUFxcTO3atUstd+DAATIyMujSpQsGg4HmzZuzfPlyV8gmJCQQEhICQP/+/dm+fTtjx47l0UcfJT8/H4CYmBj27dvHxo0bGT16NPXr12fSpEksWbKE48ePs2vXLqKiolzb7Nq1KwBNmjRh586dpKamUrNmTaKjowFITEzknXfeoaCggJSUFKZMmeJatrCw0NWCve222250WK/Y3uXw3rx5M//zP/8DQO/evQkMDCzTuv7IZi8ZBP/Ool/ZmpLxp9Yhys/aHadIOXqBFx7qRESIr9yEqCQ3PMq33347jz32GEVFRQwdOpRFixYxYsQIHA4H7dq147333gPAYrFQUHDlDBImk8n1b41Gg1IKh8PBAw88wNixYwHIzc1FpyvdWXLZsmVYrVb69u0LlFwDXLRokSvg9Pr/lu50OtHr9URGRuJ0Ovnhhx9o164dYWFhbN26lX379nH77beTkpLCP/7xD8aMGUPfvn3RarWlTo0v13q5zsv/v+xyjU6nE6PRyIoVK1zvZWRkEBQUBFCqpQe41mG3lz5N+f32fr+NW72xXWy1k3Y2l1f/dxuX8q23tC5Rfs5lF/L32esZO6glfWPrS8hVghueohoMJWPvfHx8mDlzJjNnzuTIkSO0adOGXbt2cfz4cQD+9a9/MXPmzDJttHPnzqxYsYKCggLsdjsTJkxg9erVrvetVisrV67k008/Zd26daxbt461a9eSlZXFtm3bANiwYQO5ublYLBa+++47unTpAkC3bt3497//TceOHencuTOff/45bdq0QafTsWPHDjp27MjIkSNp0KAB69evx+G49hxlMTExnD9/noMHDwLwn//8B4CAgAAaNGjgCrjNmzczatSoq64jODiYI0eOALB27dobHpvY2FhWrlxZah9vhsVq5/vkEzw3b5OEWxXkcCo++iaFNz7dTn6RDZvdPXPkeYub+hPSpk0bxowZw8SJE1m6dClvvPEGTz31FE6nk4iICN58880yrSchIYGDBw8yfPhwHA4HXbt2JTEx0fX+unXrqFOnDm3atHG95u/vz7Bhw1i0aBFdu3alUaNGjB8/ntzcXAYNGkR8fDwAPXr04JNPPqF9+/b4+vpis9no2bMnAAMGDODxxx93dTtp1aqV6wbA1RgMBubMmcOzzz6LXq+nRYsWrvfefPNNXn75ZT766CMMBgNvvfVWqZbYZU8++SSvvvoq8+bNc9V4Pc8//zyTJk3iq6++olmzZmU+RXU6FRabg7e+/JXkvdL1o6r7LTWLx2asZdrfuhAZ6ofJKMO9KoJ09K1i5s+fT5cuXWjcuDH79u3jhRdeICkp6brLWG0OLuZZeOnDZE5n5ldSpaI8GPVaJt3fgdsah8n8cxVAAq6K2bBhA7Nnz0ar1WIymXjxxRdp2bLlNb/fYrVzPD2Xlz5MprBYuiJURxoNjBnYggFxDeW6XDmTgKvGiq12fj2YyZsLdmJ3yI+xuuvVMYpHEm+T09VyJAFXTRVb7KzdcZL3l++VKY08yG1NwnjhwU7SkisnEnDVULHVTtJPR/jyh1R3lyIqQKtGobz0cGcJuXIgAVfNFFvtLF6TytJ1R9xdiqhALRqG8PLDsfjIjYdbIhNXVSPFFjsrNh6VcPMC+49n88L7W2QM6y2SgKsmii12ftiWxoJVB91diqgkqWk5PP/vzRJyt0ACrhoottrZ+NtpPlyR4u5SRCU7fOoib3y6HYtVQu7PkICr4oqtdnYeOMe8pbvdXYpwk12Hsvh30h6KJeRumgRcFWa3OzmTmc/shb9IVxAvt3bHKb5ef1RmCb5JEnBVlFKK/CIbL32YLJ14BQBfrD5IcspZacndBAm4Kspic/DC+1tkRhBRyjuLfuPE2VzsMt18mUjAVUEWq53ZC3/lxNmbmypJeD6HU/H6/26nSFpxZSIBV8WU9HU7xtYUmfJIXN3FfAtvfLIdi1XmkrsRCbgqxOFwkn6+gIWrpa+buL6UYxdYsvaQ3HS4AQm4KsRqd/L6J9twOuWmgrixr9Ye4vCpizIr8HVIwFURxRY7/1q6m8ycIneXIqoJpeB/PpNT1euRgKsCrDYHv6Zmsv7Xa0+fLsTV5BXaeGvRb9J15Bok4KqAYquddxb/5u4yRDW1fV8Gvxw4h9UmLbk/koBzs2KLnf+3ZLdMNy5uyf9buhub9I27ggScGzkcTo6cvsgWeQqWuEV5hTb+nbRb7qr+gQScG9kdincX73J3GcJDbPj1DMfTL+F0SkvuMgk4Nym22lm+8ShnLxS4uxThQf7f0t3YZOyyi8yH7CZFxXa+WlP5z1TIPf0LOcc2ur522IqxF1+iYc9JZO3/FmtBJihFYN32hDQueWD2xbSt5Bxdj9bgQ+32ozH4hgBwetvHhLcYhCkgotL3Q1xdWkYeyXvSiWtTG4Nens4lAecGRRY7H3+TgtUNF4UD67YnsG57AJTTwakt/yakcU9yjm1E71OD2neMxmm3cmLDbHxCG+ETXJ/sIz/RoMcz5Gfs4+KJLYS3GERe+h5MARESblXQJ9/uJ7Z1pLvLqBIk4Nwgt8DKz7vOuLsMso+uR2fyJ6h+Z5RSoEoC127JRTntaPVmADRaHcphw2kvRqPV4XRYyTm2gbqdH3Zn+eIasnOL+ebnY/ylayNMXv5kLrkGV8kut97cPRrLYS0g59hGwlsMBkCj0aDR6jj725ekbZiDb2gjjP7hAIQ168+p5PfIz0ghqGE82YfXEdSgiysARdWzZO1hmUcQeWxgpTuTlc8j09e6uwwuHF6HrSCLWm3vveI9p91C+i+fYw6KIiymT6n3rAUXOLdnGXU7jyu5ZpefhV94E4Ibdaus0kUZJfaI5r4+zTB78aMHpQVXiYosdj6qIg+OyUvfTWC9O1xfF2SmYi++BIBWbyKgdlssl648jc7av5LwFgMpPH8Ep91CnY4PUpCZirXgfKXVLsrm++Q0vL31IgFXiS5cKmbngXPuLgOHtRBb4Xl8ghu4Xss7u4cLh35EKYXTYScvfTe+YdGllss/tx+9uQbmGnVQTjsajRaNRgOActgqcxdEGRRZ7Hy35bhXD+GSgKskRRY7X/14yN1lAGArvIDeFIhG+99uBOEtBuG0F5O2cQ4nN72DOaguQQ3jXe87HXayD68lLKYvAL5hTbEV5XB83QwMviGYAuWuXVW0fMNRr27FyTW4SlJYbGPUi99jd0gvc1G5Jo68nW6310Wv8772jPftsRtYbQ6+23JCwk24xeI1h7x2ElUJuEry7aZj7i5BeKn08wWkZXjnA4wk4CqY06nYfTiLC5eK3V2K8GIrfz5OYbH33QiSgKtgxVY7K6X1Jtxsy950dFrv+7h73x67we7D0kdMuJfF6mBrylmvm0pJAq4COZxONu9O99oLvKJq+W7LcYq97AE1EnAVyGJ1sHbnKXeXIQQA+49nY/GyTr8ScBXI6VTsP37B3WUI4ZK8Jx2HF52mSsBVEIfTyYbfTiPdqEVVsmVvBsUW72nFScBVkGKLg0270t1dhhCl7Dt2Hr3eez723rOnlcyg13IwLdvdZQhRit2hSDnqPXf1JeAqSGpatkw4KKqkn3edochLHi8oAVcBLFY7yXsz3F2GEFf1y4FM9DqNu8uoFBJwFcDphD1HstxdhhBXdTHfQn6hdwzbkoCrCBo4eS7P3VUIcU0H03LcXUKlkICrAMfOXJLuIaJK2304C4vV86/DScCVM+ncK6qDg2nZOLxgCKEEXDkrstg5cvqiu8sQ4rpOpOdi8IL+cJ6/h5VMq9Vw/Ix3Ti4oqg+HU5GeVeDuMiqcBFw502k1ZGR7/i+OqP5OnPX8P8QScOUs/XyB3GAQ1cLx9EvY7Z498F4CrpydSL/k7hKEKJP08wVY7J498F4Crhw5nIozWfnuLkOIMjmTlY+nj2eQgCtHVpuDrItF7i5DiDLJOF+AyaC78TdWYxJw5cjhVGTlSMCJ6sFqd1JY7NmdfSXgypFOq5EWnKhWcgut7i6hQknAlSOjQcsFCThRjeRLwImystudWD38trvwLJfyJeBEGUm4iermYp7F3SVUKAm4cmT1skeyieovO7cI5cE90yXgypG3PXNSVH+5hTZsHnzmIQFXjixe9tRwUf1ZrA6c0oITZVEsASeqGadSHj12Wu/uAjyJXIOrGIF+RsYPbY1W6+kDiypfRLAvGo3nJpwEXDnSecmTiirbAwNb0KWhnqK0FHeX4nEMmtoYVEPA4O5SKoQEXDky6j17XJ+7hAf5kH9gMzk/LXB3KR4noM2dhPZp5O4yKoxcgytH3jAFtDuEBehx5MlzLiqEVgsePKeIfCLLkbTgKkagjxZHnnc85q6yaXR60EjAiTKQFlzFMBt02PMl4CqCRqtHIwEnykIvAVch9AY9jvxsd5fhkXQBIWj0nnmDASTgypWfWe7ZVAStwYgj/6K7y/BIhuBa7i6hQknAlSO9TuvxM6RWttrhfii7DeWwubsUj6SvEebuEiqUBFw5stqdBAea3F2GR2lQKxBHUZ67y/BYOv9gd5dQoSTgypHD6SQk0OzuMjxKnZr+cnpagXRmf3eXUKEk4MqRVqMhpIYEXHmqFeqLPfe8u8vwSBqTr0d3EQEJuHJl0GsJDfRxdxkeJSzIF/vFTHeX4ZH0ASEou8zoK8rIoNdRv1aAu8vwKGEBOmnBVRB9QIhHT3YJEnDlrkm9IHeX4FFqmHU4pJNvhdAHhqHRenYEePbeuUFkmGdftK1sJqMWu3TyrRCmOjFojZ59SUUCrgKEBcmNhvJiMBjkLmoFMUc1d3cJFU4CrpzZHU7q1wp0dxkeo2QUg5yiljudHkNQhLurqHAScOXMZNDRIFICrjxEhvqiHHaPv9PnDqaIBji94LhKwJUzvV7LbY3D3V2GR4iKDMRRKKMYKoKpdhM0Ws8fVigBVwGaNfDs4S+VpV5NfxwFF91dhkfyqd8KrcHzhxVKwFUAjUZDVIT0h7tVtUL9pA9cBTHVaeruEiqFBFwF0GqgdWPPnqWhMoQF+cgohgqgNfuh8/WO68QScBXAZNTTsYVnz7NVGcIC9NKCqwCmujE4bRZ3l1EpJOAqSPOGIZ4+jrnC1fCRUQwVwb9lV7Qmz+7ge5kEXAVqVKeGu0uo1sxGLfY8GcVQrjRa/Jp0QKPxjo++d+ylGxh0WuJuq+3uMqq1klEM0oIrT+aoFig8e4D970nAVRC9Xkv3dnXdXUa1JqMYyp9/q65oDd4zlFACrgIF+hmpW1MG3/8ZESEyiqH8afBrFuvxM4j8nvfsqRvotBppxf1JJc9iyHd3GR7FVKep11x7u8y79raSGfQ6enWIcncZ1VKdCHkWQ3nzbxmPxmB0dxmVSgKugvn5GGgaJUO3blatUD/seRfcXYZH8W8R5xXjT39PAq6CmQxahnaPdncZ1U7NIB/sF8+5uwyPYY5qiUbvXa03kICrcFqtlk4ta+HvY3B3KdVKWIAeh4xiKDdBXRLRGD1/cP0fScBVAqdS9Ook1+JuRqCPdPItL7qA0JIWnJfdYAAJuEphNupJ7N5Yhm7dBB+TTm4ylJMad/QHL/3d07u7AG9hNupo2ySc3w5lubuUakGv11f6w2bWHbvI0n3n0QAmvYZHOtTmq5Qszub9ty9eRr6V1hF+vJxQn+8OZbMkJYsAk45/douiVkDJNa4X1p7g4fa1iKoCz+bQ6I0Etu+L1guvv4EEXKXxMekZ1a+ZBFwZ6QymSh3FcPqShY9+yWDewGhCfA1sP53Ha+tPMv+eGNf3pJ4v5I0Np5jQKRKAr1Ky+GBIE7aczGVl6gUeviOSn09cIqqGqUqEG0BA2zs9/un11yOnqJVEo9FQv1YgLRqGuLuUKi88yIxyOlCVOKWPQafhqdg6hPiW3AxqGupDTrEdm8MJgM3hZPbmM4zvEEm4X0lrSK/RYLE7KbQ5MWg1FNudLNt/nlFtalZa3del0RIcP8zjHw14PRJwlchk1DF2UEt3l1HlNahdA0dR5T6LIcLfSMe6JbMwK6X4YOdZOtUNwKAr+YisPpJDqI+euKj/ThQ5pl0Ez60+zua0XIY0D2PR3iwGx4Tga6gafc38WnTxyq4hvyenqJVIo9HQILKkFbf/uNwhvJY6bnwWQ7HNyewtp8kqsPFarwau15fvv8CTsaVnh4mvX4P4+iVTYqXnWTiYVcj9bWvy3o6znMm1cHukP3e1cNPMzhotIT1Hec28b9ciLbhKJq24G6sd6ofDDaMYMvOtPP39MbQaDTP6NMTfWNISO3KhCIdStI7wu+ayH+7IYFz7Wvx2Np8im4NpCfXZeSaP9Fz3zJwb2L4vOh/vmJb8eiTgKplGo6FB7UBaNQp1dylVVlhw5T+LodDmYNIPx4mLCmRKt3qY9P/9aOw9V0CbWv5ornGxftvpXEJ9DTQO9cHmUOg0Gtf3WhyVP/ea1uxPSI9RaI1V40aHO0nAuYHZqOfJe29Hq/Xeu1vXEx5gwH6pckcxrDyYTWaBjS0nc5mw8ojrv9xiO+l5ViL8rz4Sxepw8uWeLB64veTGQrva/mQW2Hjw60PU8jfSMLjyQyak5yjwsjGn16JRSnnP9J5VSJHFzvzv9vPtpuPuLqXKmf/P7lg3fkLB/k3uLqXaMYTVpc6DM73imadlIS04N/Ex6bl/QAsC/bz7LtfV+Bi1OCq5k6+nCBvwCBqdjHu+TALOjXQ6DQ/9RW44/JHeoJepyv8En8btMEU09KoZe29EjoQbGfU64m6rTZN6Qe4upUrRGYzYJeBujlZPeP9H5MbCH0jAuZnRoGPS/R0w6OVHARBaw4xSCmUtdncp1Upw93vRmq/djcVbyafKzTQaDTX8jTw4WE5VARrWDsRZyaMYqjtzVAtqdBgorberkICrAsxGPb07RnFbYzf1eq9C6tYMwF5wyd1lVBtasz8Rdz8rd02vQQKuijAZ9Tw3+g78zN49eq5WqJ/M5HsTag59yqsH09+IBFwV4mMq6QDszcKDfbBfqtxRDNVVQLs+mOs1R6OXbiHXIgFXhRgNOtrF1KRfbAN3l+I2JaMYZM68GzGE1SW01wNy3e0GJOCqGLNJz7i/tKJZA+981GANX510EbkBjc5AreFT0Oikk/iNSMBVQSajjpce6kxIoPf9dfYxanHkScBdT9jAR9H5B0uH3jKQI1RFmU16pv0t1uv6xxlkFMN1BXcbgV9MJ7lrWkbe9empRvQ6LbVCfHlqhHfddCgZxSDjUK8moG0vanQaLNfdboIEXBVmMurp2KIWYwe1cHcplSIk0AwyiuGqfJvcQWifByXcbpIEXBVnNukZENeQexIau7uUCtcgMhBHUb67y6hyTLWbUHPoRDkt/RMk4KoBs1HPvb1j6Nu5vrtLqVD1agZgd9OzGKoqQ2gdIu97UVpuf5IEXDVhNuoZN6QV8W1q3/ibq6laYb5ueRZDVaXzDyZy9DQ0Bgm3P0sCrhoxG/U8NeJ2Oreq5e5SKkRNGcXgogsIofYDb6A1+0t3kFsgR66aMRn1PDOqPb061HN3KeUuzA3PYqiK9EER1HlwJrqAELQ67x6bfKsk4Kohk1HP3+66jaHdo91dSrkK8tXhyPPuLiKG8HrUeXAGOt8aEm7lQAKumjIb9Yzq24wHBjZ3dynlxsfk3cO0THWbUeeBN9Ca/eS0tJzIn4hqzGzSMyiuETX8TMxbuhuns3o/IM2bRzH4Ne9C+ODHpStIOZM/E9Wc2aSn6+11mD4hDn+f6j1tjrc+iyEoNlHCrYJIwHkAs1FP4zpBzHu2J1ERAe4u508JDjABCmUpdHcplUZjMFMz8WmC4u+5qXA7dOgQMTExrF692vVaQkICp0+frogyr2v06NFs27at0rdbVhJwHsJg0BEcYGb2U93o2rb69ZWrHxmIo6jA3WVUGmNEQ+o98i6+TTrcdCfeZcuW0a9fPxYvXlxB1XkOuQbnQbRaDWZjyazAraPD+HBFCja7091llUm9CO8ZxRDYcTAhPUai0RvRaDQ3tazNZmPlypUsXLiQESNGcPLkSaKiogCYN28eBw8exGQy8corr2C323nllVdYsmQJhYWFdOzYkYULF9KmTRtefPFFYmNjiY6O5tVXX6WwsJDs7GzGjx/PyJEjmTt3LufOnSMtLY0zZ84wbNgwHn30UaxWK88//zwpKSnUqVOHnJz/XlL44IMPWLVqFQ6Hg/j4eJ599lnOnDnDuHHjCA4Oxmw2M3jwYLZv38706dOBkhbg448/DsD777+P2Wzm6NGjxMTEMGvWLIxGI/Pnz2fBggUEBATQqFEjoqKieOKJJ8p0vKQF54HMRj0976jHvyfdSXSdGu4up0wiw/w8vouI1ieAyPteJqT7CLQG002HG8CGDRuoXbs2DRs2pFevXqVacfXr12f58uU89thjTJ48mZYtW5KZmUleXh47d+4kMDCQ7du3A7B161a6du3KkiVLeOyxx1i2bBnz589n5syZrvWlpqby8ccfs2TJEj744ANyc3P5/PPPAVi1ahVTp07l5MmTAGzcuJGUlBSWLl3K8uXLOXfuHN988w0Ax48f58033+STTz657r799ttvvPjii6xatYr09HQ2bdrEwYMHWbhwIUlJSXzxxRekpaXd1PGSgPNQZqOemsE+zHi8KyP7xKDV3vyHqTLVDPLBfvGcu8uoMOaoltR7dC7mes1uaVzpsmXLGDRoEAADBgwgKSkJq9UKwLBhwwDo3r076enp5OXl0aVLF7Zt28bWrVt54IEH2LFjB0eOHCEyMhJ/f38mT56MxWLh/fff5+2336aw8L/XQDt16oTRaCQ0NJSgoCDy8vLYvn07/fv3B6BBgwbcfnvJdF7Jycns2bOHu+66i8TERFJSUjhy5AgAoaGh1K1b94b71qRJE2rVqoVWqyU6OppLly6RnJxMz5498ff3x2QyMXDgwJs6XnKK6sE0Gg0mo467ejSmy221+Z9Pt5N+vmpe5woLNGI/53nPYtAYTAR3G0Fg+763fJf0woUL/Pzzz+zbt4/58+ejlCI3N5c1a9YAoNPpXN+rlEKv19OjRw+Sk5NJSUnho48+YvHixfz000/07NkTgKeeeorAwEB69uzJgAED+Pbbb13rMJn+W69Go0Ep5fr/ZXp9SYQ4HA4eeOABxo4dC0Bubi46nY6cnBzMZvMV67nMZrNdd3tarRan889fZpEWnBcwm/RERfjz7j968Nf+zTFWwVmCg3y1OPIvuruMcuXXIp6ox98jsH2fcukCsmLFCjp37szGjRtZt24dP/30E4888giLFi0CYOXKlQCsWbOG6OhofH19iYuLY9OmTWi1WgICAmjevDnz58+nR48eAGzevJknn3ySXr16sXHjRqAkrK4lNjaWlStX4nQ6OXPmDL/++isAnTt3ZsWKFRQUFGC325kwYUKpu7yXBQcHc/ToUZRSnDp1itTU1Ovuc2xsLBs2bCA/Px+r1coPP/xwU6f20oLzElqtFpNRy5BujejXuT7/WrqbLXvPurssF1+jjhwPmcnXGNGQ8EGPYQiJLNdnln799ddMnDix1GujRo3io48+wt/fnxMnTjBkyBD8/PxcF/H9/f2pVasWrVu3BkqC6MiRIzRo0ACAJ554gvvuuw+TyUSzZs2oU6fOdbub3HfffRw+fJj+/ftTp04dmjZtCpR0Uzl48CDDhw/H4XDQtWtXEhMTOXPmTKnlu3Tp4roL3LBhQ9q3b3/dfW7atCn3338/9957L76+vgQHB5dq6d2IRv2+vSi8RpHFTlpGLnMX7+LkuTx3l8PXr/Xi7Px/Yjtf+X25yovWN5DQOx/Ar3ksGr0BjabqtZSrm+PHj7NhwwbGjBkDwKOPPsqwYcNISEgo0/LSgvNSPiY9TesFMWdidzbvPsMXq1M5l+2+TrZag7H63kXV6gi8oz8h3UeAVo9WHsRcburUqcPevXsZNGgQGo2G+Ph41/XDspAWnMDucOJ0KpL3nmXB9wfIuFC5QRfkb2T+i705Pv3eSt3urdIYzQS07UVQl0S0BrPMulsFSQtOoNdpQQdxbWrTuXUk2/dl8PmqA5ytpDuu9avZsxh0ASHU6DSYwNv7AEiwVWEScMJFr9Oi10Fs60g6tazF4VM5JK0/ys79GVTkRCX1agbgKLxUcRsoJ8aa9QmKH4Zv4/ag0cipaDUgASeucLlF17JRGA1r18DuUHy76RjfJ58gJ89S7tuLDPfDnltFn8Wg1eHTqA3B8cMw1qyPRqdHo9XdeDlRJUjAievyNZe0Uu5OaMI9CU3Yf/wCP+44xY79GRQW28tlGzWDfLBfOlIu6yofGkx1Ywhok4B/8y6AQmvydXdR4k+QgBNlYjKUtFraNq1J06hgDPe25eCJHNbuPMm2lAzyi2w3WMO1hdUwYT/i5ofNaHWY6zXHv3kX/Jp3KWmpGYzSWqvmJODETbvcqmvdOIzGdWsw4Z42pJ3NY/v+DPYcOU9qWg52R9mH1wT7aN0yk68+OBJznab4xnTEt1FblNOJ1miSUPMgEnDilvj8X9g1rhdE/chAhnSLxmjQkXY2lx0HMkg5doG0s7lcyrdecx2+Jh0X8yo24LRmP0y1m2CqG4NPg9aYIhoCJWM2dabyG20gqhYJOFFuDHothv8b59q4XhANIgP5S1cHBr0Wu8PJmawCDp/K4ejpi5w8l0dWThE5ucUYDOXzsBmN3oguIAR9QCj6wDD0gSEYa0VjrtsUnW8NnDZLyTRF8rQqryEdfUWlK7LYcToVep0GvV6Hxm7BUXgJR/5FHAUXseddwFlUABpNyX9oQKtFw/99/X//1pp90QdFoA8IRedXA43egLJbUU4HGo22ZEJJCTOvJgEnhPBYMhpYCOGxJOCEEB5LAk4I4bEk4IQQHksCTgjhsSTghBAeSwJOCOGxJOCEEB5LAk4I4bEk4IQQHksCTgjhsSTghBAeSwJOCOGxJOCEEB5LAk4I4bEk4IQQHksCTgjhsSTghBAeSwJOCOGxJOCEEB5LAk4I4bEk4IQQHksCTgjhsSTghBAeSwJOCOGxJOCEEB5LAk4I4bEk4IQQHuv/A+D7R+js7OS1AAAAAElFTkSuQmCC",
-                        "text/plain": [
-                            "<Figure size 432x288 with 1 Axes>"
-                        ]
-                    },
-                    "metadata": {},
-                    "output_type": "display_data"
-                }
-            ],
-            "source": [
-                "# produce pie chart for churn\n",
-                "# generate procentage relationship\n",
-                "churn_rate = data_no_mv.Churn.value_counts() / len(data_no_mv.Churn)\n",
-                "\n",
-                "# Plot\n",
-                "labels = 'Keine Abwanderung', 'Abwanderung'\n",
-                "fig, ax = plt.subplots()\n",
-                "ax.pie(churn_rate, labels=labels, autopct='%.f%%')  \n",
-                "ax.set_title('Abwanderung im Vergleich zur Nicht-Abwanderung')"
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "- Die Abwanderungen machen etwa 27 % des gesamten Datensatzes aus, während die Nicht-Abwanderungen etwa 73 % ausmachen.\n",
-                "- Dies ist ein unausgewogener Datensatz und eine andere Metrik muss in der Bewertungsphase verwendet werden.\n"
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "### Geschlecht"
-            ]
-        }, {
-            "cell_type": "code",
-            "execution_count": 160,
-            "metadata": {},
-            "outputs": [{
-                    "data": {
-                        "image/png": 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79rFq1Sqys7PJzs6mX79+ACQlJTFz5kw++OADXC4XGRkZAKSlpREfH09ubi49evRg2bJlRt+XiIh4wCVD48SJE5w4cYJHHnmEkydPupfLy8uZNGnSJTvOyMggNTUVq9UKwJkzZyguLiY5OZnY2FiWLFmC0+nk6NGjVFdXExERAUBcXBy5ubnU1taSn5/PgAED6rWLiIj3mC/14tSpU/n4448BiIqKOreR2ez+Y34xs2fPrrdcXl5O7969SU1NpW3btkyYMIHMzEy6deuGxWJxr2exWCgtLaWiooKAgADMZnO9dhER8Z5LhsaKFSuAb85FzJ0796p2dPPNN7N06VL38pgxY8jKyqJr166YTCZ3u8vlwmQyuf//vh8uGxEYGHDlRct5LJa23i5B5II0NpvGJUPjO3PnzuXo0aOcPHkSl8vlbg8PDze8o/3791NUVOQ+QnG5XJjNZoKCgrDZbO71ysvLsVqtdOjQgcrKShwOB76+vthsNvdUV0McO2bH6XRdfsWL0ECsz2ar9HYJ8i2Nzfo0NhuHj4/pkh+2DYXGkiVLWLFiBYGBge42k8nEtm3bDBficrmYM2cOvXv3pnXr1qxbt45hw4YREhKCv78/BQUF9OrVi+zsbKKjo/Hz8yMyMpKcnBxiY2PJysoiOjra8P5ERKTxGQqNrKwsNm/eTKdOna54R2FhYTz66KOMGjWKuro6+vfvz5AhQwBIT08nJSUFu91OeHg4iYmJAKSmpjJ9+nSWL19OcHAwCxcuvOL9i4jI1TMUGsHBwVccGB9++KH754SEBBISEs5bJywsjMzMzPPaQ0JCWLly5RXtV0REGp+h0OjTpw/z58/n3nvvpWXLlu72hpzTEBGRa5+h0Fi/fj1AvfskGnpOQ0RErn2GQuP7U0wiInLjMhQab7755gXbf/vb3zZqMSIi0rwZCo3PP//c/fPZs2fJz8+nT58+HitKRESaJ8M3931faWkpM2bM8EhBIiLSfF3Ro9E7derE0aNHG7sWERFp5hp8TsPlcrFv3756d4eLiMiNocHnNOCbm/2mTZvmkYJERKT5atA5jaNHj1JXV0doaKhHixIRkebJUGgcPnyYxx9/nLKyMpxOJ+3bt+fVV1+la9eunq5PRESaEUMnwmfNmsX48ePJz8+noKCAiRMnkpaW5unaRESkmTEUGseOHWPYsGHu5eHDh1NRUeGxokREpHkyFBoOh4MTJ064l48fP+6pekREpBkzdE5j9OjRjBgxgkGDBmEymcjJyWHs2LGerk1ERJoZQ0caMTExANTW1vLll19SWlpKv379PFqYiIg0P4aONKZPn05CQgKJiYnU1NTwzjvvkJyczGuvvebp+kREpBkxdKRRUVHh/gpWf39/xo0bh81m82hhIiLS/Bg+EV5aWupeLi8vx+VyeawoERFpngxNT40bN44HHniAu+++G5PJRF5enh4jIiJyAzIUGg8++CA9evRg165d+Pr68vDDD/PTn/7U07WJiEgzYyg0AMLCwggLC/NkLSIi0sxd0fdpiIjIjUmhISIihik0RETEMIWGiIgYptAQERHDFBoiImKYQkNERAxTaIiIiGEKDRERMcyjoWG32xkyZAhHjhwBIC8vj9jYWPr378+iRYvc6xUWFhIXF8eAAQOYMWMGdXV1ABQXF5OQkMDAgQOZOHEiVVVVnixXREQuw2OhsWfPHkaNGkVRUREA1dXVJCcns2zZMnJycti3bx/bt28HICkpiZkzZ/LBBx/gcrnIyMgAIC0tjfj4eHJzc+nRowfLli3zVLkiImKAx0IjIyOD1NRUrFYrAHv37iU0NJSbb74Zs9lMbGwsubm5HD16lOrqaiIiIgCIi4sjNzeX2tpa8vPzGTBgQL12ERHxHsMPLGyo2bNn11suKyvDYrG4l61WK6Wlpee1WywWSktLqaioICAgALPZXK+9oQIDA67wHciFWCxtvV2CyAVpbDYNj4XGDzmdTkwmk3vZ5XJhMpku2v7d/9/3w2Ujjh2z43Re+RdGaSDWZ7NVersE+ZbGZn0am43Dx8d0yQ/bTXb1VFBQUL2viLXZbFit1vPay8vLsVqtdOjQgcrKShwOR731RUTEe5osNG677TYOHTrE4cOHcTgcbNy4kejoaEJCQvD396egoACA7OxsoqOj8fPzIzIykpycHACysrKIjo5uqnJFROQCmmx6yt/fn3nz5vHkk09SU1NDTEwMAwcOBCA9PZ2UlBTsdjvh4eEkJiYCkJqayvTp01m+fDnBwcEsXLiwqcoVEZEL8HhofPjhh+6f+/Tpw7vvvnveOmFhYWRmZp7XHhISwsqVKz1anxjnrKvVPPq36s7WUHHyrLfLEGlyTXakIdc+H7MfBfPHe7uMZqHXtNcBhUZzoQ8053j6A41CQ0SuefpAc46nP9Do2VMiImKYQkNERAxTaIiIiGEKDRERMUyhISIihik0RETEMIWGiIgYptAQERHDFBoiImKYQkNERAxTaIiIiGEKDRERMUyhISIihik0RETEMIWGiIgYptAQERHDFBoiImKYQkNERAxTaIiIiGEKDRERMUyhISIihik0RETEMIWGiIgYptAQERHDFBoiImKYQkNERAxTaIiIiGEKDRERMczsjZ2OGTOG48ePYzZ/s/tZs2ZRVVXF3LlzqampYdCgQUyZMgWAwsJCZsyYQVVVFZGRkaSlpbm3ExGRptXkf31dLhdFRUX87W9/c//xr66uZuDAgaxcuZLg4GAmTJjA9u3biYmJISkpiRdeeIGIiAiSk5PJyMggPj6+qcsWERG8MD118OBBAH73u99x//33s2rVKvbu3UtoaCg333wzZrOZ2NhYcnNzOXr0KNXV1URERAAQFxdHbm5uU5csIiLfavLQOHXqFH369GHp0qW89dZbrF27luLiYiwWi3sdq9VKaWkpZWVl9dotFgulpaVNXbKIiHyryaenevbsSc+ePd3LDz74IEuWLKFXr17uNpfLhclkwul0YjKZzmtviMDAgKsvWuQCLJa23i5B5II8OTabPDQ++eQTamtr6dOnD/BNEISEhGCz2dzr2Gw2rFYrQUFB9drLy8uxWq0N2t+xY3acTtcV16s/DHIxNlulV/evsSkXczVj08fHdMkP200+PVVZWcn8+fOpqanBbrezYcMGnn76aQ4dOsThw4dxOBxs3LiR6OhoQkJC8Pf3p6CgAIDs7Gyio6ObumQREflWkx9p3HPPPezZs4cHHngAp9NJfHw8PXv2ZN68eTz55JPU1NQQExPDwIEDAUhPTyclJQW73U54eDiJiYlNXbKIiHzLKzc8TJ48mcmTJ9dr69OnD+++++5564aFhZGZmdlElYmIyKXojnARETFMoSEiIoYpNERExDCFhoiIGKbQEBERwxQaIiJimEJDREQMU2iIiIhhCg0RETFMoSEiIoYpNERExDCFhoiIGKbQEBERwxQaIiJimEJDREQMU2iIiIhhCg0RETFMoSEiIoYpNERExDCFhoiIGKbQEBERwxQaIiJimEJDREQMU2iIiIhhCg0RETFMoSEiIoYpNERExDCFhoiIGKbQEBERwxQaIiJimEJDREQMuyZC47333uO+++6jf//+rF692tvliIjcsMzeLuBySktLWbRoEevXr6dFixaMHDmSqKgofvKTn3i7NBGRG06zD428vDx69+5Nu3btABgwYAC5ublMmjTJ0PY+PqarrqFj+zZX3cf1osVNgd4uodlojLF1tTQ2z9HYPOdqxubltjW5XC7XFffeBF599VVOnz7NlClTAPjrX//K3r17ef75571cmYjIjafZn9NwOp2YTOeSz+Vy1VsWEZGm0+xDIygoCJvN5l622WxYrVYvViQicuNq9qFx5513snPnTo4fP86ZM2fYvHkz0dHR3i5LROSG1OxPhHfq1IkpU6aQmJhIbW0tDz74ILfeequ3yxIRuSE1+xPhIiLSfDT76SkREWk+FBoiImKYQkNERAxTaIiIiGEKjRvAkSNH6NGjB0OHDq33r6SkxCP76tu3b6P3KzeeI0eO0L17d2bOnFmvvbCwkO7du7N+/fqLbtu3b1+OHDni6RJvSM3+kltpHFarlezsbG+XIdIg7dq146OPPsLhcODr6wtATk4OHTp08HJlNy6Fxg2svLycmTNn8vXXX2MymZg6dSp33nknL7/8MsXFxRQVFXH8+HEmTpzIzp072bNnD2FhYSxatAiHw8Fzzz3HgQMHKC8vp3v37ixcuNBQ/yJGtWnThrCwMPLz8+nduzcAH3/8sXscrVq1iuzsbM6cOYOfnx8LFiygS5cu7u0dDgfz589n9+7dOBwO4uLiGDdunDfeynVDoXGDKCsrY+jQoe7l2NhYPvvsM4YPH869995LWVkZ8fHxZGVlAfD555+zbt06/vnPfzJ27Fjee+89fvzjH3Pfffexf/9+Kisr8fPzY926dTidTsaOHcv27dsJDw9372P27NkX7D8gIKCp375cwwYNGsQHH3xA79692bt3L927d8flcmG32/nwww9ZuXIlLVu2ZPHixaxevZpnn33WvW1GRgYAGzZs4OzZszz88MP06NGDyMhIb72da55C4wZxoempqKgoDh48yJIlSwCoq6vjq6++AuBXv/oVZrOZzp07Y7FY3N9f0qlTJ06ePElUVBTt2rVj9erVHDx4kKKiIk6fPl2v/7y8vAv2/7Of/czTb1euI3379uWll17C6XSyadMmBg0aRE5ODgEBASxYsID333+foqIiPvroo/PG1s6dOyksLGTXrl0AnD59mv379ys0roJC4wbmdDp5++233d9VUlZWRmBgIFu3bsXPz8+9ntl8/jDZtm0bS5YsITExkbi4OCoqKvjhwwUu1r9IQ3w3RVVQUMCuXbuYOnUqOTk5lJSUMGLECEaPHk10dDQdO3aksLCw3rYOh4OkpCT69+8PwPHjx2nTRt9BcjV09dQNrHfv3qxZswaAL774gtjYWM6cOWNo2507dzJo0CCGDx/OTTfdxD/+8Q8cDkej9S/yfYMGDWLBggX06NHD/SGmdevWhIaGMm7cOH7xi1+wdevWC47BjIwMamtrqaqqIj4+nn//+99eeAfXDx1p3MBSUlKYOXMmsbGxAMyfP9/w+YaHHnqIP/zhD7z//vv4+fnxy1/+8rxLHK+mf5Hvu+eee5gxYwa///3v3W1+fn44nU7uu+8+XC4Xt99+OwcOHKi33ciRIzl8+DDDhg2jrq6OuLg4oqKimrr864oeWCgiIoZpekpERAxTaIiIiGEKDRERMUyhISIihik0RETEMIWGSDORm5vLmDFjvF2GyCUpNERExDDd3CfSQH/+85/JzMykTZs2REZGsm3bNnJzc0lPTyc/Px+Hw8HPf/5zUlJSCAgIoG/fvgwbNoydO3dSUlLC0KFDmTx5MgCLFy/mvffeo127doSGhrr3cfbs2Uv2d+utt7J//36efvpp+vXr56XfhNyIdKQh0gAfffQR69evJzMzk/Xr11NVVQV8EyS+vr6sX7+ed999F6vVSnp6unu706dPs2bNGtauXcsbb7zBV199xdatW9m8eTNZWVmsXbsWu93uXv9y/XXr1o1NmzYpMKTJ6UhDpAG2b9/OwIEDuemmmwBISEhg165d/P3vf6eyspK8vDwAamtr6z2c8d577wW+eUpwYGAgJ0+eZOfOnfTr18/9aJXhw4ezcuVKgMv2p6e0ircoNEQawGw213ua73ffJud0OklOTiYmJgaAqqoqampq3Ov5+/u7fzaZTO4+LtSXkf5at27dmG9LxDBNT4k0QExMDJs3b6ayshKAzMxMAO666y5Wr17N2bNncTqdPPvss+d9k+EPRUdHk5uby6lTp3A6nfW+7+RK+hNpCgoNkQbo06cPv/nNbxgxYgRxcXFUVlbSqlUrHn/8cUJCQhg2bJj7qavTp0+/ZF8xMTEMHz6c4cOH89BDD9G2bVv3a1fSn0hT0FNuRRrg008/5V//+heJiYkAvPnmm+zZs4eXXnrJu4WJNBGFhkgD2O12kpOTOXjwICaTieDgYJ5//nk6derk7dJEmoRCQ0REDNM5DRERMUyhISIihik0RETEMIWGiIgYptAQERHDFBoiImLY/wLqjLpwL4cdqQAAAABJRU5ErkJggg==",
-                        "text/plain": [
-                            "<Figure size 432x288 with 1 Axes>"
-                        ]
-                    },
-                    "metadata": {},
-                    "output_type": "display_data"
-                }
-            ],
-            "source": [
-                "sns.countplot(x=\"gender\", hue=\"Churn\", data=data_no_mv)\n",
-                "plt.show()"
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "Die Abwanderungsrate zwischen Männern und Frauen ist ungefähr gleich hoch."
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "### Senioren"
-            ]
-        }, {
-            "cell_type": "code",
-            "execution_count": 161,
-            "metadata": {},
-            "outputs": [{
-                    "data": {
-                        "image/png": "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",
-                        "text/plain": [
-                            "<Figure size 432x288 with 1 Axes>"
-                        ]
-                    },
-                    "metadata": {},
-                    "output_type": "display_data"
-                }
-            ],
-            "source": [
-                "sns.countplot(x=\"SeniorCitizen\", hue=\"Churn\", data=data_no_mv)\n",
-                "plt.show()"
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "Bei Kunden, die als Senioren eingestuft werden, ist die Wahrscheinlichkeit höher, dass sie abwandern."
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "### Partner"
-            ]
-        }, {
-            "cell_type": "code",
-            "execution_count": 162,
-            "metadata": {},
-            "outputs": [{
-                    "data": {
-                        "image/png": "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",
-                        "text/plain": [
-                            "<Figure size 432x288 with 1 Axes>"
-                        ]
-                    },
-                    "metadata": {},
-                    "output_type": "display_data"
-                }
-            ],
-            "source": [
-                "sns.countplot(x=\"Partner\", hue=\"Churn\", data=data_no_mv)\n",
-                "plt.show()"
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "Kunden, die keinen Partner haben, sind eher bereit, abzuwandern."
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "### Angehörige"
-            ]
-        }, {
-            "cell_type": "code",
-            "execution_count": 163,
-            "metadata": {},
-            "outputs": [{
-                    "data": {
-                        "image/png": 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",
-                        "text/plain": [
-                            "<Figure size 432x288 with 1 Axes>"
-                        ]
-                    },
-                    "metadata": {},
-                    "output_type": "display_data"
-                }
-            ],
-            "source": [
-                "sns.countplot(x=\"Dependents\", hue=\"Churn\", data=data_no_mv)\n",
-                "plt.show()"
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "Kunden, die Verwandte haben, sind eher bereit, abzuwandern."
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "### Mehrere Anschlüsse"
-            ]
-        }, {
-            "cell_type": "code",
-            "execution_count": 164,
-            "metadata": {},
-            "outputs": [{
-                    "data": {
-                        "image/png": 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",
-                        "text/plain": [
-                            "<Figure size 432x288 with 1 Axes>"
-                        ]
-                    },
-                    "metadata": {},
-                    "output_type": "display_data"
-                }
-            ],
-            "source": [
-                "sns.countplot(x=\"MultipleLines\", hue=\"Churn\", data=data_no_mv)\n",
-                "plt.show()"
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "Bei Kunden, die mehrere Anschlüsse haben, ist die Wahrscheinlichkeit einer Abwanderung  geringer."
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "### Internet Service"
-            ]
-        }, {
-            "cell_type": "code",
-            "execution_count": 165,
-            "metadata": {},
-            "outputs": [{
-                    "data": {
-                        "image/png": 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",
-                        "text/plain": [
-                            "<Figure size 432x288 with 1 Axes>"
-                        ]
-                    },
-                    "metadata": {},
-                    "output_type": "display_data"
-                }
-            ],
-            "source": [
-                "sns.countplot(x=\"InternetService\", hue=\"Churn\", data=data_no_mv)\n",
-                "plt.show()"
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "Wenn ein Kunde einen Glasfaseranschluss hat, ist es wahrscheinlicher, dass er ausfällt als ein Kunde mit DSL."
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "### Online-Sicherheit"
-            ]
-        }, {
-            "cell_type": "code",
-            "execution_count": 166,
-            "metadata": {},
-            "outputs": [{
-                    "data": {
-                        "image/png": 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",
-                        "text/plain": [
-                            "<Figure size 432x288 with 1 Axes>"
-                        ]
-                    },
-                    "metadata": {},
-                    "output_type": "display_data"
-                }
-            ],
-            "source": [
-                "sns.countplot(x=\"OnlineSecurity\", hue=\"Churn\", data=data_no_mv)\n",
-                "plt.show()"
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "Kunden, die den Internet-Sicherheitsdienst nicht nutzen, werden eher abwandern."
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "### Online Backup"
-            ]
-        }, {
-            "cell_type": "code",
-            "execution_count": 167,
-            "metadata": {},
-            "outputs": [{
-                    "data": {
-                        "image/png": 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N5uXV0NElyE3Q8au96uqxq/aHMKWnpzNp0iSGDx9O165dAVi3bp3t9YkTJxIZGUlISAgWi6Xcsr+dNiM7Ox+r1bjufLX1A5CZmefoEmoEHb/arTYev1v12Dk5Wa75x3a1hsYPP/zApEmTGDt2LBMnTgQuXuzev38/I0aMAMAwDFxcXGjSpAl5eXmUlZXh7OxMZmamratL5FZgLS2pVf9YlhYXkZNb7OgyxMGqLTTy8/N58sknmTZtGsOGDbO116tXj6VLl9K1a1datmzJpk2bCAwMxNXVFX9/f3bv3k1QUBAJCQkEBARUV7kidufk4kpy7CRHl2Fal1lvAgqNuq7a7tPYsWMHWVlZvPXWW7av1i5fvpwmTZoQExPDlClTGDBgAIZh8MQTTwAQFRVFfHw8gwYN4siRI0ybNq26yhURkQrY/Uxj7969AEyYMIEJEyZUOE///v1t35K6nK+vLxs2bLBneSIiUgm6I1xERExTaIiIiGkKDRERMU2hISIipik0RETENIWGiIiYptAQERHTFBoiImKaQkNEREwzFRoVDUn+/fffV3kxIiJSs10zNM6ePcvZs2d56qmnyM3NtU1nZWUxderU6qpRRERqiGuOPTVz5kw+++wzANuzLwBcXFwqHCtKRERubdcMjfXr1wMwe/ZsFi1aVC0FiYhIzWVqlNtFixZx+vRpcnNzMYxfn4LXoUMHuxUmIiI1j6nQWLFiBevXr6dp06a2NovFwscff2y3wkREpOYxFRoJCQl8+OGHNGvWzN71iIhIDWbqK7fNmzdXYIiIiLkzje7duxMbG0vfvn2pV6+erV3XNERE6hZTofHOO+8AkJSUZGszc00jPz+f0aNHs2bNGlq2bMn+/ftZtGgRRUVFDBw4kOnTpwNw/Phx5syZQ0FBAf7+/kRHR+Pi4kJaWhrh4eFkZ2fTpk0b4uLiaNCgwY2+VxERuUmmuqf27t17xX/XC4yjR48yZswYUlJSACgsLCQyMpLVq1eze/dujh07xqeffgpAeHg4L7/8Mh988AGGYRAfHw9AdHQ0ISEhJCUl0bFjR1avXn0Tb1VERG6WqdB46623KvzvWuLj44mKisLb2xuAL7/8ktatW9OqVStcXFwICgoiKSmJ06dPU1hYiJ+fHwDBwcEkJSVRUlLC4cOHbTcRXmoXERHHMdU99e2339p+Li4u5vDhw3Tv3v2ayyxYsKDcdEZGBl5eXrZpb29v0tPTr2j38vIiPT2dnJwcPD09cXFxKddeWU2belZ6mdrEy6uho0uQOkSft1/V1X1h+ua+y6WnpzNnzpxKbchqtWKxWGzThmFgsViu2n7p/5f77bQZ2dn5WK3GdeerrR+AzMw8R5dQI9TW41fb2OvzVhuP3636u+fkZLnmH9s3NDR6s2bNOH36dKWW8fHxITMz0zadmZmJt7f3Fe1ZWVl4e3vTpEkT8vLyKCsrKze/iIg4jqkzjcuvXxiGwbFjx8rdHW7GH//4R3788UdSU1Np2bIl7733HsOHD8fX1xd3d3eSk5Pp0qULiYmJBAQE4Orqir+/P7t37yYoKIiEhAQCAgIq9+5ERKRKVfqaBly82W/WrFmV2pC7uzuLFy/mT3/6E0VFRfTq1YsBAwYAEBcXx9y5c8nPz6dDhw6MGzcOgKioKCIiInjjjTdo3rw5y5Ytq9Q2RUSkalXqmsbp06cpLS2ldevWpjewd+9e28/du3dn165dV8zTvn17duzYcUW7r68vGzZsML0tERGxL1OhkZqayrPPPktGRgZWq5XGjRuzdu1a2rVrZ+/6RESkBjF1ITwmJoZJkyZx+PBhkpOTmTJlCtHR0fauTUREahhToZGdnc2jjz5qmx4+fDg5OTl2K0pERGomU6FRVlbG2bNnbdNnzpyxVz0iIlKDmbqm8fjjjzNq1CgGDhyIxWJh9+7djB8/3t61iYhIDWPqTKNXr14AlJSU8MMPP5Cenk5gYKBdCxMRkZrH1JlGREQEoaGhjBs3jqKiIrZs2UJkZCTr1q2zd30iIlKDmDrTyMnJsd1w5+7uzoQJE8oN/SEiInWD6Qvhl48wm5WVhWFcfxBAERG5tZjqnpowYQLDhg3joYcewmKxsH///koPIyIiIrWfqdAYMWIEHTt25MCBAzg7O/Pkk09yzz332Ls2ERGpYUyFBlwcH6p9+/b2rEVERGq4G3qehoiI1E0KDRERMU2hISIipik0RETENIWGiIiYptAQERHTTH/ltqps376djRs32qZPnTrF0KFDuXDhAsnJyXh4eAAwdepUAgMDOX78OHPmzKGgoAB/f3+io6Nxcan2skVEBAeExsiRIxk5ciQA3333HWFhYUydOpXx48ezceNGvL29y80fHh7O/Pnz8fPzIzIykvj4eEJCQqq7bBERwcHdU/PmzWP69Ol4eHiQlpZGZGQkQUFBrFixAqvVyunTpyksLMTPzw+A4OBgkpKSHFmyiEid5rDQ2L9/P4WFhQwcOJCsrCy6devGwoULiY+P58iRI+zYsYOMjAy8vLxsy3h5eZUbOFFERKqXwy4ObN26lSeeeAKAVq1asWrVKttrY8eOJSEhgXbt2mGxWGzthmGUmzajaVPPqim4hvLyaujoEqQO0eftV3V1XzgkNIqLizl8+DCLFy8G4MSJE6SkpNC/f3/gYji4uLjg4+NT7rkdWVlZV1zzuJ7s7Hys1usP415bPwCZmXmOLqFGqK3Hr7ax1+etNh6/W/V3z8nJcs0/th3SPXXixAnuvPNO6tevD1wMiYULF5Kbm0tJSQnbtm0jMDAQX19f3N3dSU5OBiAxMZGAgABHlCwiIjjoTOPkyZP4+PjYptu3b8/TTz/NmDFjKC0tpV+/fgwZMgSAuLg45s6dS35+Ph06dLA9QVBERKqfQ0Jj0KBBDBo0qFxbaGgooaGhV8zbvn17duzYUV2liYjINeiOcBERMU2hISIipik0RETENIWGiIiYptAQERHTFBoiImKaQkNERExTaIiIiGkKDRERMU2hISIipik0RETENIWGiIiYptAQERHTFBoiImKaQkNERExTaIiIiGkKDRERMU2hISIipjnkca9jx47lzJkzuLhc3HxMTAwFBQUsWrSIoqIiBg4cyPTp0wE4fvw4c+bMoaCgAH9/f6Kjo23LiYhI9ar2f30NwyAlJYV//OMftn/8CwsLGTBgABs2bKB58+ZMnjyZTz/9lF69ehEeHs78+fPx8/MjMjKS+Ph4QkJCqrvsGslaWoKXV0NHl1EppcVF5OQWO7oMEblB1R4a//nPfwCYOHEiZ8+e5bHHHuOee+6hdevWtGrVCoCgoCCSkpK46667KCwsxM/PD4Dg4GBWrFih0PiFk4srybGTHF1GpXSZ9Sag0BCprar9msa5c+fo3r07q1at4u2332br1q2kpaXh5eVlm8fb25v09HQyMjLKtXt5eZGenl7dJYuIyC+q/Uyjc+fOdO7c2TY9YsQIVqxYQZcuXWxthmFgsViwWq1YLJYr2iujaVPPmy9aqlRt61KTX+nY/aqu7otqD40jR45QUlJC9+7dgYtB4OvrS2Zmpm2ezMxMvL298fHxKdeelZWFt7d3pbaXnZ2P1Wpcd766+gFwhMzMvCpfp45f9bDHsYPaefzstS8czcnJcs0/tqu9eyovL4/Y2FiKiorIz8/n3XffZcaMGfz444+kpqZSVlbGe++9R0BAAL6+vri7u5OcnAxAYmIiAQEB1V2yiIj8otrPNPr06cPRo0cZNmwYVquVkJAQOnfuzOLFi/nTn/5EUVERvXr1YsCAAQDExcUxd+5c8vPz6dChA+PGjavukkVE5BcOueFh2rRpTJs2rVxb9+7d2bVr1xXztm/fnh07dlRTZSIici26I1xERExTaIiIiGkKDRERMU2hISIipik0RETENIWGiIiYptAQERHTFBoiImKaQkNERExTaIiIiGkKDRERMU2hISIipik0RETENIWGiIiYptAQERHTFBoiImKaQkNERExTaIiIiGkOedzr66+/zp49ewDo1asXs2bNYvbs2SQnJ+Ph4QHA1KlTCQwM5Pjx48yZM4eCggL8/f2Jjo7GxcUhZYuI1HnV/q/v/v372bdvH++++y4Wi4VJkybx0UcfcezYMTZu3Ii3t3e5+cPDw5k/fz5+fn5ERkYSHx9PSEhIdZctIiI4oHvKy8uLiIgI3NzccHV1pV27dqSlpZGWlkZkZCRBQUGsWLECq9XK6dOnKSwsxM/PD4Dg4GCSkpKqu2QREflFtZ9p3H333bafU1JS2LNnD5s2beLQoUNERUXRsGFDJk+ezI4dO7j77rvx8vKyze/l5UV6enp1lywiIr9w2MWB7777jsmTJzNr1izatm3LqlWrbK+NHTuWhIQE2rVrh8VisbUbhlFu2oymTT2rrGapGl5eDR1dgtwgHbtf1dV94ZDQSE5O5rnnniMyMpLBgwdz4sQJUlJS6N+/P3AxHFxcXPDx8SEzM9O2XFZW1hXXPK4nOzsfq9W47nx19QPgCJmZeVW+Th2/6mGPYwe18/jZa184mpOT5Zp/bFf7NY2ffvqJsLAw4uLiGDx4MHAxJBYuXEhubi4lJSVs27aNwMBAfH19cXd3Jzk5GYDExEQCAgKqu2QREflFtZ9prF+/nqKiIhYvXmxrGz16NE8//TRjxoyhtLSUfv36MWTIEADi4uKYO3cu+fn5dOjQgXHjxlV3ySIi8otqD425c+cyd+7cCl8LDQ29oq19+/bs2LHD3mWJiIgJuiNcRERMU2iIiIhpCg0RETFNoSEiIqYpNERExDSFhoiImKbQEBER0xQaIiJimkJDRERMU2iIiIhpem6qiEglWUtLat3IvKXFReTkFt/0ehQaIiKV5OTiSnLsJEeXUSldZr0J3HxoqHtKRERMU2iIiIhpCg0RETFNoSEiIqYpNERExDSFhoiImKbQEBER02pFaPz9739n0KBB9OvXj02bNjm6HBGROqvG39yXnp7Oq6++yjvvvIObmxujR4+ma9eu3HXXXY4uTUSkzqnxobF//366devG7bffDkD//v1JSkpi6tSpppZ3crKY3tYdjRvcSIkO5daoqaNLqLTKHJPK0PGzP3sdO6h9x6+2HTswd/yuN4/FMAyjqgqyh7Vr13L+/HmmT58OwPbt2/nyyy955ZVXHFyZiEjdU+OvaVitViyWX5PPMIxy0yIiUn1qfGj4+PiQmZlpm87MzMTb29uBFYmI1F01PjR69OjB559/zpkzZ7hw4QIffvghAQEBji5LRKROqvEXwps1a8b06dMZN24cJSUljBgxgk6dOjm6LBGROqnGXwgXEZGao8Z3T4mISM2h0BAREdMUGiIiYppCQ0RETFNo1FAxMTE899xz5dr27dtH3759yc/Pd1BVUlmnTp3i3nvv5bPPPivX/vDDD3Pq1CkHVVVzVMX+SU9P56mnnrrmPF9++SVLly694TrNyMvLIywszK7buOTjjz9m+fLl1bKt31Jo1FAzZ87k2LFjfPzxxwCcP3+eefPmsXDhQjw9PR1cnVSGq6srL730ksL+Km52/zRr1ox169Zdc57vv/+e7OzsG1q/Wbm5uRw/ftyu27ikb9++PP/889Wyrd+q8fdp1FUNGjRg/vz5REZG0r17d1asWMHDDz+Mh4cHY8aMobCwkMaNGxMdHU2rVq146623ePfdd3FycqJTp07ExMQ4+i3IL7y9venRowdLliy5Ysy0NWvWsGvXLpydnXnwwQcJDw/H2dnZQZU6xrX2D1x/H506dYpx48axd+9eIiIi8PT05KuvviI9PZ2wsDACAwNZsWIF58+f54033uDpp58mNjaWQ4cOUVZWRnBwMBMmTODgwYMsXboUq9XK3XffTcuWLUlPTyc1NZXTp08zcuRIpkyZQllZWYXLz58/n4yMDMLCwli1apWtvvz8fGbMmEFWVhYAYWFh9O3bl9TUVObNm8fZs2epV68eL730Er///e+JiIjg7NmzpKamMnPmTHbs2MGaNWsA2LBhA6mpqfz+97/n0KFDLF68mP3797N48WIMw6BFixb8+c9/xsPDo8Iaq4QhNdqcOXOM5557zhgyZIhx7tw5IygoyDh9+rRhGIbxz3/+0xg/frxRWlpqdO3a1SguLjbKysqMiIgI4+eff3Zw5WIYhnHy5EmjT58+Rl5entG7d29j3759hmEYRp8+fYxNmzYZI0eONM6fP2+UlJQYzzzzjLFx40YHV1y9rrV/Tp48aXzyySfX3UeX1mEYhvHiiy8aYWFhhtVqNb755hvjgQceMAzDMHbu3Gm8+OKLhmEYxubNm42FCxcahmEYRUVFxuOPP24cPnzYOHDggNGlSxfj3LlzhmEYxooVK4wRI0YYRUVFRlZWluHn52fk5uZedfnL67jcO++8Y8ybN88wDMP4+uuvjcWLFxuGYRijRo0yvvrqK8MwDOO7774z+vXrZ3sPl2otLi42HnzwQePs2bO2ZY4ePWp7P0VFRUb37t2Nr7/+2jAMw4iLizP+9re/XbXGqqAzjRouIiKC3r17s2rVKn766SdOnjzJlClTbK/n5+fj7OxM586dGTFiBH379uWJJ56gWbNmDqxafsvT05NXXnmFl156iV27dgFw4MABBg8ejIeHBwDDhw8nISGB0NBQR5bqEBXtH7ixffTggw9isVi45557OHv27BWvf/755xw/fpwDBw4AF7t+T5w4wV133UWbNm1o2LChbd6uXbvi5uZG06ZNuf3228nLy7vq8j4+PhXW07lzZ5YtW0Z6ejq9e/cmLCyMgoICjh07xuzZs23znT9/npycHADbqBeurq4EBgby4Ycf8uCDD3L27Fk6derE999/D8CJEydo1qwZ9913H3CxWxvgueeeq7BGf3//q+43sxQaNZynpyeNGjXC19eX/Px8WrZsSWJiIgBlZWW2U97Vq1fzxRdf8M9//pNJkyYRFxfHAw884MjS5Td69uxp64aBiyM4/1ZpaWl1l1Vj/Hb/wI3tI3d3d4CrjoZdVlZGeHg4/fr1A+DMmTM0aNCAL774gnr16lW4rkvrMwzjqstfPrDq5e6880727NnDv/71L/7xj3/wl7/8he3bt+Pm5mb7XQb4+eefbc8NuryOoUOHsnz5cnJzcwkKCiq3bldX13LvMy8vj4KCgqvWWBV0IbwWadu2Lbm5uRw5cgSAnTt38sILL3DmzBkGDRrEPffcw/PPP8+DDz7IiRMnHFytVCQiIoJ9+/aRkZFBt27deP/99yksLKS0tJSdO3fSrVs3R5foUJfvH6DK9pGzs7MtbLp160Z8fDwlJSUUFBQQEhLCF198YXpdV1vexcWlwkDbuHEjK1euZODAgURFRXHmzBkMw+DOO++0hcZnn3121bMnPz8/MjIySExM5JFHHin3Wps2bcjOzradebz55pts2bLlpt/jtehMoxZxc3Nj+fLlLFiwgKKiIjw9PVmyZAlNmjRh1KhRjBgxAg8PD9q0acPw4cMdXa5U4FI3zJNPPknv3r05d+4cw4cPp7S0lJ49e/L44487ukSHunz/APTp04fjx4/f9D7q1KkTr7/+OnFxcTz//POkpqby6KOPUlpaSnBwMF27duXgwYOm1jV69OgKly8pKaFFixaMHTuWDRs22OYfNmwYM2bMICgoCGdnZ8LDw2nUqBFLly5l3rx5vPnmm7i6uvLqq69e9exo4MCB7Nu3j1atWpVrd3d3Z+nSpcyaNYuSkhJ+97vfERsbi5ubW4U1VgUNWCgiIqape0pERExTaIiIiGkKDRERMU2hISIipik0RETENIWG1ClbtmzhkUceYdCgQQwePJjw8HDS0tKuuczBgwcZMmQIAMuXLychIeGGt79y5Uq6devG0KFDeeSRRxg4cCAzZ868qcEM7733Xs6cOXPDy4tUhu7TkDpjyZIlfPPNN6xdu5bmzZtjtVrZtWsXo0aNYvv27VcdBuJyVTGy6KBBg3j55ZeBi3cnh4WFsWHDhnLDw4jUVDrTkDrh559/ZuvWrbz22ms0b94cACcnJ4YNG0b//v1Zu3YtDz/8MCtXriQkJIQ+ffrw2muvXbGeiIgI1q9fD8Af/vAHVq5cyejRo3n44YfZvHmzbb7t27cTHBzMsGHDmDBhAj/88EOFdRUVFXH+/Hm8vLwA+PHHH3niiSd47LHH6NOnD1OmTKGoqAiAo0ePMnLkSIYMGcKjjz7K559/Xm5dmZmZDBkyhE2bNgFXnoFcmj548CAjR47k+eefJygoiJEjR161PpHf0pmG1AlHjx6lbdu23HbbbVe81qNHD1tAnD9/ns2bN5Oenk5gYOA176wvLi6mcePGbN26lWPHjjFmzBiGDx/O0aNHSUhIYNOmTXh4eLBv3z6mTp3Knj17ANi9ezfJyclYrVbS0tJo0aKFbYyg+Ph4hg0bxtChQykpKSE4OJhPPvmEhx9+mLCwMObPn0/v3r1tg91dGoYiPT2dF154gcmTJ18x1ERFjh07xosvvoi/vz9btmwhPDycd955p7K7VeoghYbUGVcb6K64uNg2fEPfvn2Biw/2adq0Kbm5uddc56X5O3ToQHFxMefPn+eTTz4hNTWV0aNH2+Y7d+6cbcTVy7unSkpKiImJYfr06axfv57w8HA+++wz1q1bR0pKChkZGZw/f55vv/0WJycnevfuDUDHjh35+9//blv/U089hY+PzxUD2l1N+/btbSOeDh8+nJiYGHJycmjcuLGp5aXuUveU1Al+fn6kpqZWOBLpwYMH6dy5M1DxqKbX8tsRVQ3DwGq1MnToUBITE0lMTOTdd99l586dFZ7luLq6EhISwuHDhwGYMWMG8fHx+Pr6MmHCBDp06IBhGDg7O18xLtG3335rC8KYmBicnJx46623KqyzuLi43HRFD3qqaw9/khuj0JA6oVmzZowdO5YZM2aQnp5ua9+5cycffvjhdZ8xXRk9e/bk/ffft43UumXLFsaPH3/V+T/55BPb8xP27dtHWFgYgwYNAi52q5WVldG2bVssFovtWdpfffUV48ePtw0d7ufnx+LFi3njjTf49ttvAWjSpAn//ve/AXjvvffKbfObb77hm2++AWDbtm107tyZRo0aVdUukFuYuqekzpg5cybbt29nypQpFBcXU1xczB/+8Ae2bt2Kr69vlW2nZ8+ePPXUU0ycOBGLxYKnpyevv/667Uzh0jUNi8VCUVERrVq1sj1DYvr06YSFhVG/fn08PT25//77+b//+z/c3NxYuXIlCxcuJDY2FldXV1auXImbm5ttu23btuXZZ58lPDyc7du3M3fuXGJiYmjUqBE9evSwXWwHuOOOO3jttdc4ffo0TZo0ITY2tsrev9zaNMqtSB1z8OBBXnnllSvOPkTMUPeUiIiYpjMNERExTWcaIiJimkJDRERMU2iIiIhpCg0RETFNoSEiIqYpNERExLT/DznWosAI922pAAAAAElFTkSuQmCC",
-                        "text/plain": [
-                            "<Figure size 432x288 with 1 Axes>"
-                        ]
-                    },
-                    "metadata": {},
-                    "output_type": "display_data"
-                }
-            ],
-            "source": [
-                "sns.countplot(x=\"OnlineBackup\", hue=\"Churn\", data=data_no_mv)\n",
-                "plt.show()"
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "Personen, die keine Online-Datensicherung nutzen, sind eher bereit, umzuziehen."
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "### Geräteschutz\n"
-            ]
-        }, {
-            "cell_type": "code",
-            "execution_count": 168,
-            "metadata": {},
-            "outputs": [{
-                    "data": {
-                        "image/png": 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",
-                        "text/plain": [
-                            "<Figure size 432x288 with 1 Axes>"
-                        ]
-                    },
-                    "metadata": {},
-                    "output_type": "display_data"
-                }
-            ],
-            "source": [
-                "sns.countplot(x=\"DeviceProtection\", hue=\"Churn\", data=data_no_mv)\n",
-                "plt.show()"
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "Kunden, die keinen zusätzlichen Geräteschutz erworben haben, werden mit größerer Wahrscheinlichkeit migrieren."
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "### Technischer Support"
-            ]
-        }, {
-            "cell_type": "code",
-            "execution_count": 169,
-            "metadata": {},
-            "outputs": [{
-                    "data": {
-                        "image/png": 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",
-                        "text/plain": [
-                            "<Figure size 432x288 with 1 Axes>"
-                        ]
-                    },
-                    "metadata": {},
-                    "output_type": "display_data"
-                }
-            ],
-            "source": [
-                "sns.countplot(x=\"TechSupport\", hue=\"Churn\", data=data_no_mv)\n",
-                "plt.show()"
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "Kunden, die keinen technischen Support in Anspruch nehmen, werden eher abwandern."
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "### Streaming-TV/ Streaming-Filme"
-            ]
-        }, {
-            "cell_type": "code",
-            "execution_count": 170,
-            "metadata": {},
-            "outputs": [{
-                    "data": {
-                        "image/png": 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",
-                        "text/plain": [
-                            "<Figure size 432x288 with 1 Axes>"
-                        ]
-                    },
-                    "metadata": {},
-                    "output_type": "display_data"
-                }, {
-                    "data": {
-                        "image/png": 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",
-                        "text/plain": [
-                            "<Figure size 432x288 with 1 Axes>"
-                        ]
-                    },
-                    "metadata": {},
-                    "output_type": "display_data"
-                }
-            ],
-            "source": [
-                "for col in [\"StreamingTV\", \"StreamingMovies\"]:\n",
-                "    sns.countplot(x=col, hue='Churn', data=data_no_mv)\n",
-                "    plt.show()"
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "Die Hinzunahme von Film- und TV-Streaming-Angeboten hat kaum Auswirkungen auf die Abwanderungsrate."
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "### Papierlose Abrechnung"
-            ]
-        }, {
-            "cell_type": "code",
-            "execution_count": 171,
-            "metadata": {},
-            "outputs": [{
-                    "data": {
-                        "image/png": 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",
-                        "text/plain": [
-                            "<Figure size 432x288 with 1 Axes>"
-                        ]
-                    },
-                    "metadata": {},
-                    "output_type": "display_data"
-                }
-            ],
-            "source": [
-                "sns.countplot(x=\"PaperlessBilling\", hue=\"Churn\", data=data_no_mv)\n",
-                "plt.show()"
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "Kunden, die ohne Rechnung bezahlen, werden eher abwandern."
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "### Zahlungsmethode"
-            ]
-        }, {
-            "cell_type": "code",
-            "execution_count": 172,
-            "metadata": {},
-            "outputs": [{
-                    "data": {
-                        "image/png": 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",
-                        "text/plain": [
-                            "<Figure size 432x288 with 1 Axes>"
-                        ]
-                    },
-                    "metadata": {},
-                    "output_type": "display_data"
-                }
-            ],
-            "source": [
-                "sns.countplot(x=\"PaymentMethod\", hue=\"Churn\", data=data_no_mv)\n",
-                "plt.show()"
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "Kunden, die mit elektronischen Schecks bezahlen, wandern deutlich häufiger ab als Kunden, die eine andere Zahlungsmethode verwenden."
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "### Vertrag"
-            ]
-        }, {
-            "cell_type": "code",
-            "execution_count": 173,
-            "metadata": {},
-            "outputs": [{
-                    "data": {
-                        "image/png": 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",
-                        "text/plain": [
-                            "<Figure size 432x288 with 1 Axes>"
-                        ]
-                    },
-                    "metadata": {},
-                    "output_type": "display_data"
-                }
-            ],
-            "source": [
-                "sns.countplot(x=\"Contract\", hue=\"Churn\", data=data_no_mv)\n",
-                "plt.show()"
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "Bei Kunden mit kurzfristigen Verträgen ist die Wahrscheinlichkeit größer, dass sie das Unternehmen verlassen, als bei Kunden mit längerfristigen Verträgen."
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {
-                "include": true,
-                "paragraph": "DataPreparation"
-            },
-            "source": [
-                "# 3. Aufbereitung der Daten"
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {
-                "include": true,
-                "paragraph": "DataPreparation"
-            },
-            "source": [
-                "## 3.1. Reduzieren der Kunden-ID"
-            ]
-        }, {
-            "cell_type": "code",
-            "execution_count": 174,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "# Removing the Customer ID, it does not add value to the model\n",
-                "data_prep = data_no_mv.drop(\"customerID\", axis = 1)"
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {
-                "include": true,
-                "paragraph": "DataPreparation"
-            },
-            "source": [
-                "## 3.2. Umkodierung der kategorialen Variablen"
-            ]
-        }, {
-            "cell_type": "code",
-            "execution_count": 175,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "# Convert binary variables to 1 and 0 with Yes and No\n",
-                "bin_var = [\"Partner\",\"Dependents\",\"PhoneService\",\"PaperlessBilling\",\"Churn\"]"
-            ]
-        }, {
-            "cell_type": "code",
-            "execution_count": 176,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "def binaer_umwandeln(x):\n",
-                "    return x.map({'Yes':1,'No':0})"
-            ]
-        }, {
-            "cell_type": "code",
-            "execution_count": 177,
-            "metadata": {},
-            "outputs": [{
-                    "data": {
-                        "text/html": [
-                            "<div>\n",
-                            "<style scoped>\n",
-                            "    .dataframe tbody tr th:only-of-type {\n",
-                            "        vertical-align: middle;\n",
-                            "    }\n",
-                            "\n",
-                            "    .dataframe tbody tr th {\n",
-                            "        vertical-align: top;\n",
-                            "    }\n",
-                            "\n",
-                            "    .dataframe thead th {\n",
-                            "        text-align: right;\n",
-                            "    }\n",
-                            "</style>\n",
-                            "<table border=\"1\" class=\"dataframe\">\n",
-                            "  <thead>\n",
-                            "    <tr style=\"text-align: right;\">\n",
-                            "      <th></th>\n",
-                            "      <th>gender</th>\n",
-                            "      <th>SeniorCitizen</th>\n",
-                            "      <th>Partner</th>\n",
-                            "      <th>Dependents</th>\n",
-                            "      <th>tenure</th>\n",
-                            "      <th>PhoneService</th>\n",
-                            "      <th>MultipleLines</th>\n",
-                            "      <th>InternetService</th>\n",
-                            "      <th>OnlineSecurity</th>\n",
-                            "      <th>OnlineBackup</th>\n",
-                            "      <th>DeviceProtection</th>\n",
-                            "      <th>TechSupport</th>\n",
-                            "      <th>StreamingTV</th>\n",
-                            "      <th>StreamingMovies</th>\n",
-                            "      <th>Contract</th>\n",
-                            "      <th>PaperlessBilling</th>\n",
-                            "      <th>PaymentMethod</th>\n",
-                            "      <th>MonthlyCharges</th>\n",
-                            "      <th>TotalCharges</th>\n",
-                            "      <th>Churn</th>\n",
-                            "    </tr>\n",
-                            "  </thead>\n",
-                            "  <tbody>\n",
-                            "    <tr>\n",
-                            "      <th>0</th>\n",
-                            "      <td>Female</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>No phone service</td>\n",
-                            "      <td>DSL</td>\n",
-                            "      <td>No</td>\n",
-                            "      <td>Yes</td>\n",
-                            "      <td>No</td>\n",
-                            "      <td>No</td>\n",
-                            "      <td>No</td>\n",
-                            "      <td>No</td>\n",
-                            "      <td>Month-to-month</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>Electronic check</td>\n",
-                            "      <td>29.85</td>\n",
-                            "      <td>29.85</td>\n",
-                            "      <td>0</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>1</th>\n",
-                            "      <td>Male</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>34</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>No</td>\n",
-                            "      <td>DSL</td>\n",
-                            "      <td>Yes</td>\n",
-                            "      <td>No</td>\n",
-                            "      <td>Yes</td>\n",
-                            "      <td>No</td>\n",
-                            "      <td>No</td>\n",
-                            "      <td>No</td>\n",
-                            "      <td>One year</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>Mailed check</td>\n",
-                            "      <td>56.95</td>\n",
-                            "      <td>1889.50</td>\n",
-                            "      <td>0</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>2</th>\n",
-                            "      <td>Male</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>2</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>No</td>\n",
-                            "      <td>DSL</td>\n",
-                            "      <td>Yes</td>\n",
-                            "      <td>Yes</td>\n",
-                            "      <td>No</td>\n",
-                            "      <td>No</td>\n",
-                            "      <td>No</td>\n",
-                            "      <td>No</td>\n",
-                            "      <td>Month-to-month</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>Mailed check</td>\n",
-                            "      <td>53.85</td>\n",
-                            "      <td>108.15</td>\n",
-                            "      <td>1</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>3</th>\n",
-                            "      <td>Male</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>45</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>No phone service</td>\n",
-                            "      <td>DSL</td>\n",
-                            "      <td>Yes</td>\n",
-                            "      <td>No</td>\n",
-                            "      <td>Yes</td>\n",
-                            "      <td>Yes</td>\n",
-                            "      <td>No</td>\n",
-                            "      <td>No</td>\n",
-                            "      <td>One year</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>Bank transfer (automatic)</td>\n",
-                            "      <td>42.30</td>\n",
-                            "      <td>1840.75</td>\n",
-                            "      <td>0</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>4</th>\n",
-                            "      <td>Female</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>2</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>No</td>\n",
-                            "      <td>Fiber optic</td>\n",
-                            "      <td>No</td>\n",
-                            "      <td>No</td>\n",
-                            "      <td>No</td>\n",
-                            "      <td>No</td>\n",
-                            "      <td>No</td>\n",
-                            "      <td>No</td>\n",
-                            "      <td>Month-to-month</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>Electronic check</td>\n",
-                            "      <td>70.70</td>\n",
-                            "      <td>151.65</td>\n",
-                            "      <td>1</td>\n",
-                            "    </tr>\n",
-                            "  </tbody>\n",
-                            "</table>\n",
-                            "</div>"
-                        ],
-                        "text/plain": [
-                            "   gender  SeniorCitizen  Partner  Dependents  tenure  PhoneService  \\\n",
-                            "0  Female              0        1           0       1             0   \n",
-                            "1    Male              0        0           0      34             1   \n",
-                            "2    Male              0        0           0       2             1   \n",
-                            "3    Male              0        0           0      45             0   \n",
-                            "4  Female              0        0           0       2             1   \n",
-                            "\n",
-                            "      MultipleLines InternetService OnlineSecurity OnlineBackup  \\\n",
-                            "0  No phone service             DSL             No          Yes   \n",
-                            "1                No             DSL            Yes           No   \n",
-                            "2                No             DSL            Yes          Yes   \n",
-                            "3  No phone service             DSL            Yes           No   \n",
-                            "4                No     Fiber optic             No           No   \n",
-                            "\n",
-                            "  DeviceProtection TechSupport StreamingTV StreamingMovies        Contract  \\\n",
-                            "0               No          No          No              No  Month-to-month   \n",
-                            "1              Yes          No          No              No        One year   \n",
-                            "2               No          No          No              No  Month-to-month   \n",
-                            "3              Yes         Yes          No              No        One year   \n",
-                            "4               No          No          No              No  Month-to-month   \n",
-                            "\n",
-                            "   PaperlessBilling              PaymentMethod  MonthlyCharges  TotalCharges  \\\n",
-                            "0                 1           Electronic check           29.85         29.85   \n",
-                            "1                 0               Mailed check           56.95       1889.50   \n",
-                            "2                 1               Mailed check           53.85        108.15   \n",
-                            "3                 0  Bank transfer (automatic)           42.30       1840.75   \n",
-                            "4                 1           Electronic check           70.70        151.65   \n",
-                            "\n",
-                            "   Churn  \n",
-                            "0      0  \n",
-                            "1      0  \n",
-                            "2      1  \n",
-                            "3      0  \n",
-                            "4      1  "
-                        ]
-                    },
-                    "execution_count": 177,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                }
-            ],
-            "source": [
-                "data_prep[bin_var]=data_prep[bin_var].apply(binaer_umwandeln)\n",
-                "data_prep.head()"
-            ]
-        }, {
-            "cell_type": "code",
-            "execution_count": 178,
-            "metadata": {},
-            "outputs": [{
-                    "data": {
-                        "text/html": [
-                            "<div>\n",
-                            "<style scoped>\n",
-                            "    .dataframe tbody tr th:only-of-type {\n",
-                            "        vertical-align: middle;\n",
-                            "    }\n",
-                            "\n",
-                            "    .dataframe tbody tr th {\n",
-                            "        vertical-align: top;\n",
-                            "    }\n",
-                            "\n",
-                            "    .dataframe thead th {\n",
-                            "        text-align: right;\n",
-                            "    }\n",
-                            "</style>\n",
-                            "<table border=\"1\" class=\"dataframe\">\n",
-                            "  <thead>\n",
-                            "    <tr style=\"text-align: right;\">\n",
-                            "      <th></th>\n",
-                            "      <th>SeniorCitizen</th>\n",
-                            "      <th>Partner</th>\n",
-                            "      <th>Dependents</th>\n",
-                            "      <th>tenure</th>\n",
-                            "      <th>PhoneService</th>\n",
-                            "      <th>PaperlessBilling</th>\n",
-                            "      <th>MonthlyCharges</th>\n",
-                            "      <th>TotalCharges</th>\n",
-                            "      <th>Churn</th>\n",
-                            "      <th>gender_Male</th>\n",
-                            "      <th>...</th>\n",
-                            "      <th>TechSupport_Yes</th>\n",
-                            "      <th>StreamingTV_No internet service</th>\n",
-                            "      <th>StreamingTV_Yes</th>\n",
-                            "      <th>StreamingMovies_No internet service</th>\n",
-                            "      <th>StreamingMovies_Yes</th>\n",
-                            "      <th>Contract_One year</th>\n",
-                            "      <th>Contract_Two year</th>\n",
-                            "      <th>PaymentMethod_Credit card (automatic)</th>\n",
-                            "      <th>PaymentMethod_Electronic check</th>\n",
-                            "      <th>PaymentMethod_Mailed check</th>\n",
-                            "    </tr>\n",
-                            "  </thead>\n",
-                            "  <tbody>\n",
-                            "    <tr>\n",
-                            "      <th>0</th>\n",
-                            "      <td>0</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>29.85</td>\n",
-                            "      <td>29.85</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>...</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>0</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>1</th>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>34</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>56.95</td>\n",
-                            "      <td>1889.50</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>...</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>1</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>2</th>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>2</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>53.85</td>\n",
-                            "      <td>108.15</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>...</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>1</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>3</th>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>45</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>42.30</td>\n",
-                            "      <td>1840.75</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>...</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>4</th>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>2</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>70.70</td>\n",
-                            "      <td>151.65</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>...</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>0</td>\n",
-                            "    </tr>\n",
-                            "  </tbody>\n",
-                            "</table>\n",
-                            "<p>5 rows × 31 columns</p>\n",
-                            "</div>"
-                        ],
-                        "text/plain": [
-                            "   SeniorCitizen  Partner  Dependents  tenure  PhoneService  PaperlessBilling  \\\n",
-                            "0              0        1           0       1             0                 1   \n",
-                            "1              0        0           0      34             1                 0   \n",
-                            "2              0        0           0       2             1                 1   \n",
-                            "3              0        0           0      45             0                 0   \n",
-                            "4              0        0           0       2             1                 1   \n",
-                            "\n",
-                            "   MonthlyCharges  TotalCharges  Churn  gender_Male  ...  TechSupport_Yes  \\\n",
-                            "0           29.85         29.85      0            0  ...                0   \n",
-                            "1           56.95       1889.50      0            1  ...                0   \n",
-                            "2           53.85        108.15      1            1  ...                0   \n",
-                            "3           42.30       1840.75      0            1  ...                1   \n",
-                            "4           70.70        151.65      1            0  ...                0   \n",
-                            "\n",
-                            "   StreamingTV_No internet service  StreamingTV_Yes  \\\n",
-                            "0                                0                0   \n",
-                            "1                                0                0   \n",
-                            "2                                0                0   \n",
-                            "3                                0                0   \n",
-                            "4                                0                0   \n",
-                            "\n",
-                            "   StreamingMovies_No internet service  StreamingMovies_Yes  \\\n",
-                            "0                                    0                    0   \n",
-                            "1                                    0                    0   \n",
-                            "2                                    0                    0   \n",
-                            "3                                    0                    0   \n",
-                            "4                                    0                    0   \n",
-                            "\n",
-                            "   Contract_One year  Contract_Two year  \\\n",
-                            "0                  0                  0   \n",
-                            "1                  1                  0   \n",
-                            "2                  0                  0   \n",
-                            "3                  1                  0   \n",
-                            "4                  0                  0   \n",
-                            "\n",
-                            "   PaymentMethod_Credit card (automatic)  PaymentMethod_Electronic check  \\\n",
-                            "0                                      0                               1   \n",
-                            "1                                      0                               0   \n",
-                            "2                                      0                               0   \n",
-                            "3                                      0                               0   \n",
-                            "4                                      0                               1   \n",
-                            "\n",
-                            "   PaymentMethod_Mailed check  \n",
-                            "0                           0  \n",
-                            "1                           1  \n",
-                            "2                           1  \n",
-                            "3                           0  \n",
-                            "4                           0  \n",
-                            "\n",
-                            "[5 rows x 31 columns]"
-                        ]
-                    },
-                    "execution_count": 178,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                }
-            ],
-            "source": [
-                "# create dummies\n",
-                "data_enc = pd.get_dummies(data_prep, drop_first=True)\n",
-                "data_enc.head()"
-            ]
-        }, {
-            "cell_type": "code",
-            "execution_count": 179,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "# Dropping of dummies that also contain No phone service and No Internet service\n",
-                "dup_variables = [\"OnlineSecurity_No internet service\",\"OnlineBackup_No internet service\", \"TechSupport_No internet service\",\"StreamingTV_No internet service\",\"StreamingMovies_No internet service\", \"DeviceProtection_No internet service\",\"MultipleLines_No phone service\"]\n",
-                "data_enc.drop(dup_variables, axis=1, inplace=True)"
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {
-                "include": true,
-                "paragraph": "DataPreparation"
-            },
-            "source": [
-                "## 3.3. Test auf Multikollinearität"
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {
-                "include": true,
-                "paragraph": "DataPreparation"
-            },
-            "source": [
-                "Um ein korrektes Funktionieren der späteren Regression zu gewährleisten, darf keine Multikollinearität zwischen den Variablen bestehen. Das Vorhandensein einer solchen wird mit Hilfe der Bibliothek Statsmodel überprüft."
-            ]
-        }, {
-            "cell_type": "code",
-            "execution_count": 180,
-            "metadata": {},
-            "outputs": [{
-                    "name": "stdout",
-                    "output_type": "stream",
-                    "text": [
-                        "                                  feature         VIF\n",
-                        "0                           SeniorCitizen    1.376564\n",
-                        "1                                 Partner    2.824725\n",
-                        "2                              Dependents    1.969391\n",
-                        "3                                  tenure   20.482153\n",
-                        "4                            PhoneService   47.244378\n",
-                        "5                        PaperlessBilling    2.956951\n",
-                        "6                          MonthlyCharges  212.353073\n",
-                        "7                            TotalCharges   21.374002\n",
-                        "8                             gender_Male    2.021331\n",
-                        "9                       MultipleLines_Yes    2.861614\n",
-                        "10            InternetService_Fiber optic   17.695260\n",
-                        "11                     InternetService_No    8.234451\n",
-                        "12                     OnlineSecurity_Yes    2.682712\n",
-                        "13                       OnlineBackup_Yes    2.909898\n",
-                        "14                   DeviceProtection_Yes    2.992570\n",
-                        "15                        TechSupport_Yes    2.758343\n",
-                        "16                        StreamingTV_Yes    4.928957\n",
-                        "17                    StreamingMovies_Yes    5.090603\n",
-                        "18                      Contract_One year    2.056188\n",
-                        "19                      Contract_Two year    3.487502\n",
-                        "20  PaymentMethod_Credit card (automatic)    1.984196\n",
-                        "21         PaymentMethod_Electronic check    2.955994\n",
-                        "22             PaymentMethod_Mailed check    2.383290\n"
-                    ]
-                }
-            ],
-            "source": [
-                "# independent variables\n",
-                "vif_test = data_enc.drop(\"Churn\", axis=1)\n",
-                "  \n",
-                "# VIF dataframe \n",
-                "vif_data = pd.DataFrame() \n",
-                "vif_data[\"feature\"] = vif_test.columns \n",
-                "  \n",
-                "# VIF for each Feature \n",
-                "vif_data[\"VIF\"] = [variance_inflation_factor(vif_test.values, i) \n",
-                "                          for i in range(len(vif_test.columns))] \n",
-                "  \n",
-                "print(vif_data)"
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "\"MonthlyCharges\" hat den höchsten VIF und wird aus dem Datensatz entfernt."
-            ]
-        }, {
-            "cell_type": "code",
-            "execution_count": 181,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "data_enc.drop(\"MonthlyCharges\", axis=1, inplace=True)"
-            ]
-        }, {
-            "cell_type": "code",
-            "execution_count": 182,
-            "metadata": {},
-            "outputs": [{
-                    "name": "stdout",
-                    "output_type": "stream",
-                    "text": [
-                        "                                  feature        VIF\n",
-                        "0                           SeniorCitizen   1.366018\n",
-                        "1                                 Partner   2.817414\n",
-                        "2                              Dependents   1.961947\n",
-                        "3                                  tenure  17.073930\n",
-                        "4                            PhoneService   9.277446\n",
-                        "5                        PaperlessBilling   2.796488\n",
-                        "6                            TotalCharges  18.028499\n",
-                        "7                             gender_Male   1.942509\n",
-                        "8                       MultipleLines_Yes   2.514269\n",
-                        "9             InternetService_Fiber optic   4.186492\n",
-                        "10                     InternetService_No   3.473225\n",
-                        "11                     OnlineSecurity_Yes   1.986701\n",
-                        "12                       OnlineBackup_Yes   2.182678\n",
-                        "13                   DeviceProtection_Yes   2.299462\n",
-                        "14                        TechSupport_Yes   2.099655\n",
-                        "15                        StreamingTV_Yes   2.749724\n",
-                        "16                    StreamingMovies_Yes   2.771330\n",
-                        "17                      Contract_One year   2.056169\n",
-                        "18                      Contract_Two year   3.468149\n",
-                        "19  PaymentMethod_Credit card (automatic)   1.820729\n",
-                        "20         PaymentMethod_Electronic check   2.535918\n",
-                        "21             PaymentMethod_Mailed check   1.982063\n"
-                    ]
-                }
-            ],
-            "source": [
-                "# the independent variables set \n",
-                "vif_test = data_enc.drop(\"Churn\", axis=1)\n",
-                "  \n",
-                "# VIF dataframe \n",
-                "vif_data = pd.DataFrame() \n",
-                "vif_data[\"feature\"] = vif_test.columns \n",
-                "  \n",
-                "# VIF for each Feature \n",
-                "vif_data[\"VIF\"] = [variance_inflation_factor(vif_test.values, i) \n",
-                "                          for i in range(len(vif_test.columns))] \n",
-                "  \n",
-                "print(vif_data)"
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "\"TotalCharges\" hat den höchsten VIF und wird aus dem Datensatz entfernt."
-            ]
-        }, {
-            "cell_type": "code",
-            "execution_count": 183,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "data_enc.drop(\"TotalCharges\", axis=1, inplace=True)"
-            ]
-        }, {
-            "cell_type": "code",
-            "execution_count": 184,
-            "metadata": {},
-            "outputs": [{
-                    "name": "stdout",
-                    "output_type": "stream",
-                    "text": [
-                        "                                  feature       VIF\n",
-                        "0                           SeniorCitizen  1.363244\n",
-                        "1                                 Partner  2.816895\n",
-                        "2                              Dependents  1.956413\n",
-                        "3                                  tenure  7.530356\n",
-                        "4                            PhoneService  9.260839\n",
-                        "5                        PaperlessBilling  2.757816\n",
-                        "6                             gender_Male  1.931277\n",
-                        "7                       MultipleLines_Yes  2.426699\n",
-                        "8             InternetService_Fiber optic  3.581328\n",
-                        "9                      InternetService_No  3.321342\n",
-                        "10                     OnlineSecurity_Yes  1.947904\n",
-                        "11                       OnlineBackup_Yes  2.093763\n",
-                        "12                   DeviceProtection_Yes  2.241375\n",
-                        "13                        TechSupport_Yes  2.060410\n",
-                        "14                        StreamingTV_Yes  2.636855\n",
-                        "15                    StreamingMovies_Yes  2.661529\n",
-                        "16                      Contract_One year  2.055971\n",
-                        "17                      Contract_Two year  3.456061\n",
-                        "18  PaymentMethod_Credit card (automatic)  1.794059\n",
-                        "19         PaymentMethod_Electronic check  2.401970\n",
-                        "20             PaymentMethod_Mailed check  1.967082\n"
-                    ]
-                }
-            ],
-            "source": [
-                "# the independent variables set \n",
-                "vif_test = data_enc.drop(\"Churn\", axis=1)\n",
-                "  \n",
-                "# VIF dataframe \n",
-                "vif_data = pd.DataFrame() \n",
-                "vif_data[\"feature\"] = vif_test.columns \n",
-                "  \n",
-                "# calculating VIF for each feature \n",
-                "vif_data[\"VIF\"] = [variance_inflation_factor(vif_test.values, i) \n",
-                "                          for i in range(len(vif_test.columns))] \n",
-                "  \n",
-                "print(vif_data)"
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "Keine der Variablen hat jetzt einen VIF von mehr als 10."
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "## 3.4. Merkmalsskalierung"
-            ]
-        }, {
-            "cell_type": "code",
-            "execution_count": 185,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "# Separate target variable and predictors\n",
-                "y = data_enc[\"Churn\"]\n",
-                "X = data_enc.drop(labels = [\"Churn\"], axis = 1)"
-            ]
-        }, {
-            "cell_type": "code",
-            "execution_count": 186,
-            "metadata": {
-                "scrolled": true
-            },
-            "outputs": [{
-                    "data": {
-                        "text/html": [
-                            "<div>\n",
-                            "<style scoped>\n",
-                            "    .dataframe tbody tr th:only-of-type {\n",
-                            "        vertical-align: middle;\n",
-                            "    }\n",
-                            "\n",
-                            "    .dataframe tbody tr th {\n",
-                            "        vertical-align: top;\n",
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-                            "\n",
-                            "    .dataframe thead th {\n",
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-                            "</style>\n",
-                            "<table border=\"1\" class=\"dataframe\">\n",
-                            "  <thead>\n",
-                            "    <tr style=\"text-align: right;\">\n",
-                            "      <th></th>\n",
-                            "      <th>SeniorCitizen</th>\n",
-                            "      <th>Partner</th>\n",
-                            "      <th>Dependents</th>\n",
-                            "      <th>tenure</th>\n",
-                            "      <th>PhoneService</th>\n",
-                            "      <th>PaperlessBilling</th>\n",
-                            "      <th>gender_Male</th>\n",
-                            "      <th>MultipleLines_Yes</th>\n",
-                            "      <th>InternetService_Fiber optic</th>\n",
-                            "      <th>InternetService_No</th>\n",
-                            "      <th>...</th>\n",
-                            "      <th>OnlineBackup_Yes</th>\n",
-                            "      <th>DeviceProtection_Yes</th>\n",
-                            "      <th>TechSupport_Yes</th>\n",
-                            "      <th>StreamingTV_Yes</th>\n",
-                            "      <th>StreamingMovies_Yes</th>\n",
-                            "      <th>Contract_One year</th>\n",
-                            "      <th>Contract_Two year</th>\n",
-                            "      <th>PaymentMethod_Credit card (automatic)</th>\n",
-                            "      <th>PaymentMethod_Electronic check</th>\n",
-                            "      <th>PaymentMethod_Mailed check</th>\n",
-                            "    </tr>\n",
-                            "  </thead>\n",
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-                            "      <td>0</td>\n",
-                            "      <td>0.064303</td>\n",
-                            "      <td>1</td>\n",
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-                            "      <td>0</td>\n",
-                            "      <td>1</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>2</th>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>-1.239504</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>...</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>1</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>3</th>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0.512486</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>0</td>\n",
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-                            "      <td>0</td>\n",
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-                            "      <td>1</td>\n",
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-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
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-                            "    <tr>\n",
-                            "      <th>4</th>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>-1.239504</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>...</td>\n",
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-                            "      <td>1</td>\n",
-                            "      <td>0</td>\n",
-                            "    </tr>\n",
-                            "  </tbody>\n",
-                            "</table>\n",
-                            "<p>5 rows × 21 columns</p>\n",
-                            "</div>"
-                        ],
-                        "text/plain": [
-                            "   SeniorCitizen  Partner  Dependents    tenure  PhoneService  \\\n",
-                            "0              0        1           0 -1.280248             0   \n",
-                            "1              0        0           0  0.064303             1   \n",
-                            "2              0        0           0 -1.239504             1   \n",
-                            "3              0        0           0  0.512486             0   \n",
-                            "4              0        0           0 -1.239504             1   \n",
-                            "\n",
-                            "   PaperlessBilling  gender_Male  MultipleLines_Yes  \\\n",
-                            "0                 1            0                  0   \n",
-                            "1                 0            1                  0   \n",
-                            "2                 1            1                  0   \n",
-                            "3                 0            1                  0   \n",
-                            "4                 1            0                  0   \n",
-                            "\n",
-                            "   InternetService_Fiber optic  InternetService_No  ...  OnlineBackup_Yes  \\\n",
-                            "0                            0                   0  ...                 1   \n",
-                            "1                            0                   0  ...                 0   \n",
-                            "2                            0                   0  ...                 1   \n",
-                            "3                            0                   0  ...                 0   \n",
-                            "4                            1                   0  ...                 0   \n",
-                            "\n",
-                            "   DeviceProtection_Yes  TechSupport_Yes  StreamingTV_Yes  \\\n",
-                            "0                     0                0                0   \n",
-                            "1                     1                0                0   \n",
-                            "2                     0                0                0   \n",
-                            "3                     1                1                0   \n",
-                            "4                     0                0                0   \n",
-                            "\n",
-                            "   StreamingMovies_Yes  Contract_One year  Contract_Two year  \\\n",
-                            "0                    0                  0                  0   \n",
-                            "1                    0                  1                  0   \n",
-                            "2                    0                  0                  0   \n",
-                            "3                    0                  1                  0   \n",
-                            "4                    0                  0                  0   \n",
-                            "\n",
-                            "   PaymentMethod_Credit card (automatic)  PaymentMethod_Electronic check  \\\n",
-                            "0                                      0                               1   \n",
-                            "1                                      0                               0   \n",
-                            "2                                      0                               0   \n",
-                            "3                                      0                               0   \n",
-                            "4                                      0                               1   \n",
-                            "\n",
-                            "   PaymentMethod_Mailed check  \n",
-                            "0                           0  \n",
-                            "1                           1  \n",
-                            "2                           1  \n",
-                            "3                           0  \n",
-                            "4                           0  \n",
-                            "\n",
-                            "[5 rows x 21 columns]"
-                        ]
-                    },
-                    "execution_count": 186,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                }
-            ],
-            "source": [
-                "# Scaling the variables\n",
-                "num_features = ['tenure']\n",
-                "\n",
-                "scaler = StandardScaler()\n",
-                "\n",
-                "X[num_features] = scaler.fit_transform(X[num_features])\n",
-                "X.head()"
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "## 3.5. Undersampling "
-            ]
-        }, {
-            "cell_type": "code",
-            "execution_count": 187,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "iht = InstanceHardnessThreshold(random_state=0,estimator=LogisticRegression (solver='lbfgs', multi_class='auto'))\n",
-                "                               \n",
-                "X_resampled, y_resampled = iht.fit_resample(X, y)"
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "## 3.6. Erstellen von Test- & Trainingsdaten"
-            ]
-        }, {
-            "cell_type": "code",
-            "execution_count": 188,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "# Split dataset in train and test datasets\n",
-                "# The default value of 80% to 20% is used.\n",
-                "X_train, X_test, y_train, y_test = train_test_split(X_resampled, y_resampled, random_state=110)"
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {
-                "include": true,
-                "paragraph": "Modeling"
-            },
-            "source": [
-                "# 4. Modellierung und Auswertung"
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "## 4.1. Logistische Regression"
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {
-                "include": true,
-                "paragraph": "Modeling"
-            },
-            "source": [
-                "Zur Lösung des Problems wird die logistische Regression verwendet. Hierfür werden die beiden Bibliotheken Statsmodels und Scikit-Learn verwendet. Die komplette Auswertung des Modells findet erst im Unterkapitel zu Scikit-Learn statt."
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {
-                "include": true,
-                "paragraph": "Modeling"
-            },
-            "source": [
-                "## Statistische Modelle"
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {
-                "include": true,
-                "paragraph": "Modeling"
-            },
-            "source": [
-                "### Training und Vorhersage"
-            ]
-        }, {
-            "cell_type": "code",
-            "execution_count": 189,
-            "metadata": {},
-            "outputs": [{
-                    "name": "stdout",
-                    "output_type": "stream",
-                    "text": [
-                        "Optimization terminated successfully.\n",
-                        "         Current function value: 0.082006\n",
-                        "         Iterations 11\n",
-                        "                           Logit Regression Results                           \n",
-                        "==============================================================================\n",
-                        "Dep. Variable:                  Churn   No. Observations:                 2803\n",
-                        "Model:                          Logit   Df Residuals:                     2781\n",
-                        "Method:                           MLE   Df Model:                           21\n",
-                        "Date:                Thu, 21 Oct 2021   Pseudo R-squ.:                  0.8817\n",
-                        "Time:                        15:00:28   Log-Likelihood:                -229.86\n",
-                        "converged:                       True   LL-Null:                       -1942.4\n",
-                        "Covariance Type:            nonrobust   LLR p-value:                     0.000\n",
-                        "=========================================================================================================\n",
-                        "                                            coef    std err          z      P>|z|      [0.025      0.975]\n",
-                        "---------------------------------------------------------------------------------------------------------\n",
-                        "const                                     5.1912      0.828      6.266      0.000       3.567       6.815\n",
-                        "SeniorCitizen                             0.4609      0.457      1.008      0.313      -0.435       1.357\n",
-                        "Partner                                  -0.4112      0.302     -1.362      0.173      -1.003       0.181\n",
-                        "Dependents                               -0.5746      0.294     -1.952      0.051      -1.151       0.002\n",
-                        "tenure                                   -2.9281      0.309     -9.468      0.000      -3.534      -2.322\n",
-                        "PhoneService                             -1.2307      0.544     -2.261      0.024      -2.298      -0.164\n",
-                        "PaperlessBilling                          1.2621      0.288      4.385      0.000       0.698       1.826\n",
-                        "gender_Male                              -0.1334      0.255     -0.524      0.600      -0.633       0.366\n",
-                        "MultipleLines_Yes                         1.0865      0.336      3.231      0.001       0.427       1.746\n",
-                        "InternetService_Fiber optic               3.1681      0.400      7.916      0.000       2.384       3.952\n",
-                        "InternetService_No                       -2.8314      0.567     -4.992      0.000      -3.943      -1.720\n",
-                        "OnlineSecurity_Yes                       -1.7901      0.321     -5.581      0.000      -2.419      -1.161\n",
-                        "OnlineBackup_Yes                         -0.3203      0.309     -1.036      0.300      -0.926       0.286\n",
-                        "DeviceProtection_Yes                      0.4336      0.331      1.312      0.190      -0.214       1.082\n",
-                        "TechSupport_Yes                          -0.8710      0.329     -2.648      0.008      -1.516      -0.226\n",
-                        "StreamingTV_Yes                           1.1971      0.351      3.414      0.001       0.510       1.884\n",
-                        "StreamingMovies_Yes                       1.4263      0.374      3.815      0.000       0.693       2.159\n",
-                        "Contract_One year                        -3.5720      0.488     -7.317      0.000      -4.529      -2.615\n",
-                        "Contract_Two year                        -6.5206      0.584    -11.164      0.000      -7.665      -5.376\n",
-                        "PaymentMethod_Credit card (automatic)    -0.0720      0.313     -0.230      0.818      -0.686       0.542\n",
-                        "PaymentMethod_Electronic check            1.2794      0.406      3.154      0.002       0.484       2.075\n",
-                        "PaymentMethod_Mailed check               -0.3240      0.398     -0.813      0.416      -1.105       0.457\n",
-                        "=========================================================================================================\n",
-                        "\n",
-                        "Possibly complete quasi-separation: A fraction 0.37 of observations can be\n",
-                        "perfectly predicted. This might indicate that there is complete\n",
-                        "quasi-separation. In this case some parameters will not be identified.\n"
-                    ]
-                }
-            ],
-            "source": [
-                "# add constant\n",
-                "X_const = sm.add_constant(X_train)\n",
-                "# create model\n",
-                "log_reg = sm.Logit(y_train, X_const).fit() \n",
-                "print(log_reg.summary())"
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {
-                "include": true,
-                "paragraph": "Modeling"
-            },
-            "source": [
-                "Das trainierte Modell zeigt statistisch nicht-signifikante Variablen an. Dies ist gegeben, wenn der Wert P>|z| größer als 0,05 ist und es sich nicht um die Konstante handelt."
-            ]
-        }, {
-            "cell_type": "code",
-            "execution_count": 190,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "# Removing the statistically non-significant features (P>|z|> 0.05)\n",
-                "insignificant_features = [\"Partner\", \"gender_Male\", \"OnlineBackup_Yes\", \"DeviceProtection_Yes\", \"PaymentMethod_Credit card (automatic)\",\"PaymentMethod_Mailed check\"]\n",
-                "X_train.drop(insignificant_features, axis=1, inplace=True)\n",
-                "X_test.drop(insignificant_features, axis=1, inplace=True)"
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {
-                "include": false,
-                "paragraph": "Modeling"
-            },
-            "source": [
-                "Nun kann ein zweites Modell erstellt werden:"
-            ]
-        }, {
-            "cell_type": "code",
-            "execution_count": 191,
-            "metadata": {},
-            "outputs": [{
-                    "name": "stdout",
-                    "output_type": "stream",
-                    "text": [
-                        "Optimization terminated successfully.\n",
-                        "         Current function value: 0.083077\n",
-                        "         Iterations 11\n",
-                        "                           Logit Regression Results                           \n",
-                        "==============================================================================\n",
-                        "Dep. Variable:                  Churn   No. Observations:                 2803\n",
-                        "Model:                          Logit   Df Residuals:                     2787\n",
-                        "Method:                           MLE   Df Model:                           15\n",
-                        "Date:                Thu, 21 Oct 2021   Pseudo R-squ.:                  0.8801\n",
-                        "Time:                        15:00:28   Log-Likelihood:                -232.87\n",
-                        "converged:                       True   LL-Null:                       -1942.4\n",
-                        "Covariance Type:            nonrobust   LLR p-value:                     0.000\n",
-                        "==================================================================================================\n",
-                        "                                     coef    std err          z      P>|z|      [0.025      0.975]\n",
-                        "--------------------------------------------------------------------------------------------------\n",
-                        "const                              4.7119      0.718      6.566      0.000       3.305       6.118\n",
-                        "SeniorCitizen                      0.3954      0.458      0.864      0.387      -0.501       1.292\n",
-                        "Dependents                        -0.7328      0.262     -2.797      0.005      -1.246      -0.219\n",
-                        "tenure                            -2.9242      0.297     -9.845      0.000      -3.506      -2.342\n",
-                        "PhoneService                      -1.2073      0.540     -2.235      0.025      -2.266      -0.149\n",
-                        "PaperlessBilling                   1.2161      0.285      4.273      0.000       0.658       1.774\n",
-                        "MultipleLines_Yes                  1.0989      0.331      3.320      0.001       0.450       1.748\n",
-                        "InternetService_Fiber optic        3.1159      0.391      7.966      0.000       2.349       3.883\n",
-                        "InternetService_No                -2.8462      0.529     -5.381      0.000      -3.883      -1.809\n",
-                        "OnlineSecurity_Yes                -1.7441      0.313     -5.576      0.000      -2.357      -1.131\n",
-                        "TechSupport_Yes                   -0.8357      0.325     -2.569      0.010      -1.473      -0.198\n",
-                        "StreamingTV_Yes                    1.2193      0.348      3.508      0.000       0.538       1.901\n",
-                        "StreamingMovies_Yes                1.4394      0.368      3.908      0.000       0.717       2.161\n",
-                        "Contract_One year                 -3.4572      0.471     -7.337      0.000      -4.381      -2.534\n",
-                        "Contract_Two year                 -6.3299      0.557    -11.372      0.000      -7.421      -5.239\n",
-                        "PaymentMethod_Electronic check     1.3103      0.362      3.623      0.000       0.601       2.019\n",
-                        "==================================================================================================\n",
-                        "\n",
-                        "Possibly complete quasi-separation: A fraction 0.36 of observations can be\n",
-                        "perfectly predicted. This might indicate that there is complete\n",
-                        "quasi-separation. In this case some parameters will not be identified.\n"
-                    ]
-                }
-            ],
-            "source": [
-                "# new model\n",
-                "X_const = sm.add_constant(X_train)\n",
-                "log_reg2 = sm.Logit(y_train, X_const).fit() \n",
-                "print(log_reg2.summary())"
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "Keine statistisch nicht signifikanten Variablen mehr. Das endgültige Modell wurde modelliert:"
-            ]
-        }, {
-            "cell_type": "code",
-            "execution_count": 192,
-            "metadata": {},
-            "outputs": [{
-                    "name": "stdout",
-                    "output_type": "stream",
-                    "text": [
-                        "Optimization terminated successfully.\n",
-                        "         Current function value: 0.083077\n",
-                        "         Iterations 11\n",
-                        "                           Logit Regression Results                           \n",
-                        "==============================================================================\n",
-                        "Dep. Variable:                  Churn   No. Observations:                 2803\n",
-                        "Model:                          Logit   Df Residuals:                     2787\n",
-                        "Method:                           MLE   Df Model:                           15\n",
-                        "Date:                Thu, 21 Oct 2021   Pseudo R-squ.:                  0.8801\n",
-                        "Time:                        15:00:28   Log-Likelihood:                -232.87\n",
-                        "converged:                       True   LL-Null:                       -1942.4\n",
-                        "Covariance Type:            nonrobust   LLR p-value:                     0.000\n",
-                        "==================================================================================================\n",
-                        "                                     coef    std err          z      P>|z|      [0.025      0.975]\n",
-                        "--------------------------------------------------------------------------------------------------\n",
-                        "const                              4.7119      0.718      6.566      0.000       3.305       6.118\n",
-                        "SeniorCitizen                      0.3954      0.458      0.864      0.387      -0.501       1.292\n",
-                        "Dependents                        -0.7328      0.262     -2.797      0.005      -1.246      -0.219\n",
-                        "tenure                            -2.9242      0.297     -9.845      0.000      -3.506      -2.342\n",
-                        "PhoneService                      -1.2073      0.540     -2.235      0.025      -2.266      -0.149\n",
-                        "PaperlessBilling                   1.2161      0.285      4.273      0.000       0.658       1.774\n",
-                        "MultipleLines_Yes                  1.0989      0.331      3.320      0.001       0.450       1.748\n",
-                        "InternetService_Fiber optic        3.1159      0.391      7.966      0.000       2.349       3.883\n",
-                        "InternetService_No                -2.8462      0.529     -5.381      0.000      -3.883      -1.809\n",
-                        "OnlineSecurity_Yes                -1.7441      0.313     -5.576      0.000      -2.357      -1.131\n",
-                        "TechSupport_Yes                   -0.8357      0.325     -2.569      0.010      -1.473      -0.198\n",
-                        "StreamingTV_Yes                    1.2193      0.348      3.508      0.000       0.538       1.901\n",
-                        "StreamingMovies_Yes                1.4394      0.368      3.908      0.000       0.717       2.161\n",
-                        "Contract_One year                 -3.4572      0.471     -7.337      0.000      -4.381      -2.534\n",
-                        "Contract_Two year                 -6.3299      0.557    -11.372      0.000      -7.421      -5.239\n",
-                        "PaymentMethod_Electronic check     1.3103      0.362      3.623      0.000       0.601       2.019\n",
-                        "==================================================================================================\n",
-                        "\n",
-                        "Possibly complete quasi-separation: A fraction 0.36 of observations can be\n",
-                        "perfectly predicted. This might indicate that there is complete\n",
-                        "quasi-separation. In this case some parameters will not be identified.\n"
-                    ]
-                }
-            ],
-            "source": [
-                "# final model\n",
-                "X_const = sm.add_constant(X_train)\n",
-                "log_reg_final = sm.Logit(y_train, X_const).fit() \n",
-                "print(log_reg_final.summary())"
-            ]
-        }, {
-            "cell_type": "code",
-            "execution_count": 193,
-            "metadata": {
-                "scrolled": true
-            },
-            "outputs": [],
-            "source": [
-                "# prediction\n",
-                "y_hat = log_reg_final.predict(sm.add_constant(X_test)) \n",
-                "# Statsmodel only gives the probabilities, therefore rounding is required.   \n",
-                "prediction = list(map(round, y_hat))"
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "## 4.1. Auswertung"
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "Zur Evaluation sollen mehrere Metriken verwendet werden, die komfortabler mittels Scikit-Learn erzeugt werden können. Deshalb wird das identische Modell wie mit Statsmodels nochmals in Scikit-Learn erzeugt."
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "## Scikit-Learn"
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "### Training und Vorhersage"
-            ]
-        }, {
-            "cell_type": "code",
-            "execution_count": 194,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "# C is needed to build the exact same model as with Statsmodels; source: https://www.kdnuggets.com/2016/06/regularization-logistic-regression.html\n",
-                "logistic_model = LogisticRegression(random_state=0, C=1e8)"
-            ]
-        }, {
-            "cell_type": "code",
-            "execution_count": 195,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "# prediction with testdata\n",
-                "result = logistic_model.fit(X_train,y_train)\n",
-                "prediction_test = logistic_model.predict(X_test)\n",
-                "prediction_train = logistic_model.predict(X_train)"
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {
-                "include": true,
-                "paragraph": "Evaluation"
-            },
-            "source": [
-                "### Evaluation"
-            ]
-        }, {
-            "cell_type": "code",
-            "execution_count": 196,
-            "metadata": {},
-            "outputs": [{
-                    "name": "stdout",
-                    "output_type": "stream",
-                    "text": [
-                        "Accuracy with testdata: 0.9882352941176471\n"
-                    ]
-                }
-            ],
-            "source": [
-                "# Accuracy Score \n",
-                "acc = metrics.accuracy_score(y_test, prediction_test)\n",
-                "print('Accuracy with testdata: {}'.format(acc))"
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {
-                "include": true,
-                "paragraph": "Evaluation"
-            },
-            "source": [
-                "Die Genauigkeit deutet auf ein überdurchschnittliches Modell hin. Allerdings handelt es sich um einen unausgewogenen Datensatz. Daher müssen weitere Metriken analysiert werden.\n",
-                "\t\n"
-            ]
-        }, {
-            "cell_type": "code",
-            "execution_count": 197,
-            "metadata": {},
-            "outputs": [{
-                    "name": "stdout",
-                    "output_type": "stream",
-                    "text": [
-                        "traindata:\n",
-                        "              precision    recall  f1-score   support\n",
-                        "\n",
-                        "           0       0.96      1.00      0.98      1374\n",
-                        "           1       1.00      0.96      0.98      1429\n",
-                        "\n",
-                        "    accuracy                           0.98      2803\n",
-                        "   macro avg       0.98      0.98      0.98      2803\n",
-                        "weighted avg       0.98      0.98      0.98      2803\n",
-                        "\n",
-                        "testdata:\n",
-                        "              precision    recall  f1-score   support\n",
-                        "\n",
-                        "           0       0.98      1.00      0.99       495\n",
-                        "           1       1.00      0.98      0.99       440\n",
-                        "\n",
-                        "    accuracy                           0.99       935\n",
-                        "   macro avg       0.99      0.99      0.99       935\n",
-                        "weighted avg       0.99      0.99      0.99       935\n",
-                        "\n"
-                    ]
-                }
-            ],
-            "source": [
-                "# classification report\n",
-                "\n",
-                "print(\"traindata:\")\n",
-                "print(classification_report(y_train,prediction_train))\n",
-                "print(\"testdata:\")\n",
-                "print(classification_report(y_test,prediction_test))"
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "Höhere Genauigkeit für das Training als für den Testdatensatz. Insgesamt sind die Werte für den Test- und den Trainingsdatensatz sehr ähnlich. Daher sollte nicht von einem Overfitting oder Underfitting ausgegangen werden."
-            ]
-        }, {
-            "cell_type": "code",
-            "execution_count": 198,
-            "metadata": {},
-            "outputs": [{
-                    "data": {
-                        "text/plain": [
-                            "Text(0.5, 39.5, 'Predicted label')"
-                        ]
-                    },
-                    "execution_count": 198,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                }, {
-                    "data": {
-                        "image/png": 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",
-                        "text/plain": [
-                            "<Figure size 720x504 with 2 Axes>"
-                        ]
-                    },
-                    "metadata": {},
-                    "output_type": "display_data"
-                }
-            ],
-            "source": [
-                "# Confusion matrix testdata\n",
-                "cm = confusion_matrix(y_test,prediction_test)\n",
-                "df_cm = pd.DataFrame(cm, index=['No Churn','Churn'], columns=['No Churn', 'Churn'],)\n",
-                "fig = plt.figure(figsize=[10,7])\n",
-                "heatmap = sns.heatmap(df_cm, annot=True, fmt=\"d\")\n",
-                "heatmap.yaxis.set_ticklabels(heatmap.yaxis.get_ticklabels(), rotation=0, ha='right', fontsize=14)\n",
-                "heatmap.xaxis.set_ticklabels(heatmap.xaxis.get_ticklabels(), rotation=45, ha='right', fontsize=14)\n",
-                "plt.ylabel('True label')\n",
-                "plt.xlabel('Predicted label')"
-            ]
-        }, {
-            "cell_type": "code",
-            "execution_count": 199,
-            "metadata": {},
-            "outputs": [{
-                    "name": "stdout",
-                    "output_type": "stream",
-                    "text": [
-                        "True Negatives: 493\n",
-                        "False Positives: 2\n",
-                        "False Negatives: 9\n",
-                        "True Positives: 431\n",
-                        "Recall: 0.9795454545454545\n",
-                        "Precision: 0.9953810623556582\n"
-                    ]
-                }
-            ],
-            "source": [
-                "# metrics from confusion matrix\n",
-                "tn, fp, fn, tp = cm.ravel()\n",
-                "recall = tp/(fn+tp)\n",
-                "precision = tp/(tp+fp)\n",
-                "print(\"True Negatives: \" + str(tn))\n",
-                "print(\"False Positives: \" + str(fp))\n",
-                "print(\"False Negatives: \" + str(fn))\n",
-                "print(\"True Positives: \" + str(tp))\n",
-                "print(\"Recall: \" + str(recall))\n",
-                "print(\"Precision: \" + str(precision))"
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "Präzision und Recall vermitteln ein viel realistischeres Bild des Modells. Es erreicht eine Präzision von rund 68 % und eine Wiederauffindbarkeit von 52 %. Der Recall ist für den Anwendungsfall eindeutig wichtiger und muss daher auf Kosten der Präzision verbessert werden."
-            ]
-        }, {
-            "cell_type": "code",
-            "execution_count": 200,
-            "metadata": {},
-            "outputs": [{
-                    "data": {
-                        "image/png": 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",
-                        "text/plain": [
-                            "<Figure size 576x432 with 1 Axes>"
-                        ]
-                    },
-                    "metadata": {},
-                    "output_type": "display_data"
-                }
-            ],
-            "source": [
-                "# ROC-Kurve, AUC\n",
-                "fig, ax = plt.subplots(figsize=(8,6))\n",
-                "ax.set_title('ROC Kurve')\n",
-                "plot = metrics.plot_roc_curve(logistic_model, X_test, y_test, ax=ax);\n",
-                "ax.plot([0,1], [0,1], '--');"
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "Der AUC der ROC-Kurve ergibt einen guten Wert von 0,84. Daraus lässt sich schließen, dass durch die Optimierung des Schwellenwertes Optimierungspotenzial besteht."
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "## 4.3. Interpretation"
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "Zunächst sollen jedoch die Ergebnisse für das Unternehmen veranschaulicht werden und es soll geklärt werden, welche Kunden zur Abwanderung führen und welche gegen eine Abwanderung sprechen."
-            ]
-        }, {
-            "cell_type": "code",
-            "execution_count": 201,
-            "metadata": {},
-            "outputs": [{
-                    "data": {
-                        "text/plain": [
-                            "InternetService_Fiber optic       3.115901\n",
-                            "StreamingMovies_Yes               1.439381\n",
-                            "PaymentMethod_Electronic check    1.310265\n",
-                            "StreamingTV_Yes                   1.219198\n",
-                            "PaperlessBilling                  1.216093\n",
-                            "MultipleLines_Yes                 1.098867\n",
-                            "SeniorCitizen                     0.395488\n",
-                            "Dependents                       -0.732812\n",
-                            "TechSupport_Yes                  -0.835712\n",
-                            "PhoneService                     -1.207319\n",
-                            "OnlineSecurity_Yes               -1.744166\n",
-                            "InternetService_No               -2.846463\n",
-                            "tenure                           -2.924275\n",
-                            "Contract_One year                -3.457173\n",
-                            "Contract_Two year                -6.329852\n",
-                            "dtype: float64"
-                        ]
-                    },
-                    "execution_count": 201,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                }
-            ],
-            "source": [
-                "# Read out regression coefficients and thus find out importance of individual attributes\n",
-                "weights = pd.Series(logistic_model.coef_[0],\n",
-                " index=X_train.columns.values)\n",
-                "weights.sort_values(ascending = False)"
-            ]
-        }, {
-            "cell_type": "code",
-            "execution_count": 202,
-            "metadata": {},
-            "outputs": [{
-                    "name": "stdout",
-                    "output_type": "stream",
-                    "text": [
-                        "AxesSubplot(0.125,0.125;0.775x0.755)\n"
-                    ]
-                }, {
-                    "data": {
-                        "image/png": 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",
-                        "text/plain": [
-                            "<Figure size 432x288 with 1 Axes>"
-                        ]
-                    },
-                    "metadata": {},
-                    "output_type": "display_data"
-                }
-            ],
-            "source": [
-                "# Graphical representation of key features that lead to churn.\n",
-                "weights = pd.Series(logistic_model.coef_[0],\n",
-                "                 index=X_train.columns.values)\n",
-                "print (weights.sort_values(ascending = False)[:7].plot(kind='bar'))"
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "Die drei Hauptmerkmale, die zur Abwanderung führen, sind:\n",
-                "\n",
-                "- Der Glasfaserdienst (InternetService_Glasfaser),\n",
-                "- Die Online-Zahlungen (PaperlessBilling) und\n",
-                "- Das Abonnement des zusätzlichen Filmstreamingdienstes (StreamingMovies_Yes).\n"
-            ]
-        }, {
-            "cell_type": "code",
-            "execution_count": 203,
-            "metadata": {},
-            "outputs": [{
-                    "name": "stdout",
-                    "output_type": "stream",
-                    "text": [
-                        "AxesSubplot(0.125,0.125;0.775x0.755)\n"
-                    ]
-                }, {
-                    "data": {
-                        "image/png": 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",
-                        "text/plain": [
-                            "<Figure size 432x288 with 1 Axes>"
-                        ]
-                    },
-                    "metadata": {},
-                    "output_type": "display_data"
-                }
-            ],
-            "source": [
-                "# Most important features that keep customers from churning\n",
-                "print(weights.sort_values(ascending = False)[-8:].plot(kind='bar'))"
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "Die drei wichtigsten Merkmale, die Kunden von der Abwanderung abhalten, sind:\n",
-                "\n",
-                "- Die Verträge, die für zwei Jahre gekündigt werden können (Contract_Two year),\n",
-                "- Die Zeit, die man Kunde eines Unternehmens ist (Tenure) und\n",
-                "- kein Abonnement für den Internetdienst (InternetService_No).\n"
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "## 4.4. Modell-Optimierung"
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "Die Recall-Rate ist als Zielmetrik zu niedrig und muss daher erhöht werden. Daher werden die Metriken bei verschiedenen Schwellenwerten der logistischen Regression analysiert."
-            ]
-        }, {
-            "cell_type": "code",
-            "execution_count": 204,
-            "metadata": {},
-            "outputs": [{
-                    "name": "stdout",
-                    "output_type": "stream",
-                    "text": [
-                        "\n",
-                        "******** For a Threshold about 0.05 ******\n",
-                        "Accuracy: 0.8588235294117647\n",
-                        "True Negatives: 367\n",
-                        "False Positives: 128\n",
-                        "False Negatives: 4\n",
-                        "True Positives: 436\n",
-                        "Recall: 0.990909090909091\n",
-                        "Precision: 0.7730496453900709\n",
-                        "\n",
-                        "******** For a Threshold about 0.1 ******\n",
-                        "Accuracy: 0.9144385026737968\n",
-                        "True Negatives: 420\n",
-                        "False Positives: 75\n",
-                        "False Negatives: 5\n",
-                        "True Positives: 435\n",
-                        "Recall: 0.9886363636363636\n",
-                        "Precision: 0.8529411764705882\n",
-                        "\n",
-                        "******** For a Threshold about 0.15 ******\n",
-                        "Accuracy: 0.9422459893048128\n",
-                        "True Negatives: 446\n",
-                        "False Positives: 49\n",
-                        "False Negatives: 5\n",
-                        "True Positives: 435\n",
-                        "Recall: 0.9886363636363636\n",
-                        "Precision: 0.8987603305785123\n",
-                        "\n",
-                        "******** For a Threshold about 0.2 ******\n",
-                        "Accuracy: 0.9657754010695188\n",
-                        "True Negatives: 468\n",
-                        "False Positives: 27\n",
-                        "False Negatives: 5\n",
-                        "True Positives: 435\n",
-                        "Recall: 0.9886363636363636\n",
-                        "Precision: 0.9415584415584416\n",
-                        "\n",
-                        "******** For a Threshold about 0.25 ******\n",
-                        "Accuracy: 0.9786096256684492\n",
-                        "True Negatives: 481\n",
-                        "False Positives: 14\n",
-                        "False Negatives: 6\n",
-                        "True Positives: 434\n",
-                        "Recall: 0.9863636363636363\n",
-                        "Precision: 0.96875\n",
-                        "\n",
-                        "******** For a Threshold about 0.3 ******\n",
-                        "Accuracy: 0.9818181818181818\n",
-                        "True Negatives: 486\n",
-                        "False Positives: 9\n",
-                        "False Negatives: 8\n",
-                        "True Positives: 432\n",
-                        "Recall: 0.9818181818181818\n",
-                        "Precision: 0.9795918367346939\n",
-                        "\n",
-                        "******** For a Threshold about 0.35 ******\n",
-                        "Accuracy: 0.986096256684492\n",
-                        "True Negatives: 490\n",
-                        "False Positives: 5\n",
-                        "False Negatives: 8\n",
-                        "True Positives: 432\n",
-                        "Recall: 0.9818181818181818\n",
-                        "Precision: 0.988558352402746\n",
-                        "\n",
-                        "******** For a Threshold about 0.4 ******\n",
-                        "Accuracy: 0.9871657754010695\n",
-                        "True Negatives: 491\n",
-                        "False Positives: 4\n",
-                        "False Negatives: 8\n",
-                        "True Positives: 432\n",
-                        "Recall: 0.9818181818181818\n",
-                        "Precision: 0.9908256880733946\n",
-                        "\n",
-                        "******** For a Threshold about 0.45 ******\n",
-                        "Accuracy: 0.9893048128342246\n",
-                        "True Negatives: 493\n",
-                        "False Positives: 2\n",
-                        "False Negatives: 8\n",
-                        "True Positives: 432\n",
-                        "Recall: 0.9818181818181818\n",
-                        "Precision: 0.9953917050691244\n",
-                        "\n",
-                        "******** For a Threshold about 0.5 ******\n",
-                        "Accuracy: 0.9882352941176471\n",
-                        "True Negatives: 493\n",
-                        "False Positives: 2\n",
-                        "False Negatives: 9\n",
-                        "True Positives: 431\n",
-                        "Recall: 0.9795454545454545\n",
-                        "Precision: 0.9953810623556582\n",
-                        "\n",
-                        "******** For a Threshold about 0.55 ******\n",
-                        "Accuracy: 0.9882352941176471\n",
-                        "True Negatives: 493\n",
-                        "False Positives: 2\n",
-                        "False Negatives: 9\n",
-                        "True Positives: 431\n",
-                        "Recall: 0.9795454545454545\n",
-                        "Precision: 0.9953810623556582\n",
-                        "\n",
-                        "******** For a Threshold about 0.6 ******\n",
-                        "Accuracy: 0.9893048128342246\n",
-                        "True Negatives: 494\n",
-                        "False Positives: 1\n",
-                        "False Negatives: 9\n",
-                        "True Positives: 431\n",
-                        "Recall: 0.9795454545454545\n",
-                        "Precision: 0.9976851851851852\n",
-                        "\n",
-                        "******** For a Threshold about 0.65 ******\n",
-                        "Accuracy: 0.9893048128342246\n",
-                        "True Negatives: 494\n",
-                        "False Positives: 1\n",
-                        "False Negatives: 9\n",
-                        "True Positives: 431\n",
-                        "Recall: 0.9795454545454545\n",
-                        "Precision: 0.9976851851851852\n",
-                        "\n",
-                        "******** For a Threshold about 0.7 ******\n",
-                        "Accuracy: 0.9903743315508021\n",
-                        "True Negatives: 495\n",
-                        "False Positives: 0\n",
-                        "False Negatives: 9\n",
-                        "True Positives: 431\n",
-                        "Recall: 0.9795454545454545\n",
-                        "Precision: 1.0\n",
-                        "\n",
-                        "******** For a Threshold about 0.75 ******\n",
-                        "Accuracy: 0.9903743315508021\n",
-                        "True Negatives: 495\n",
-                        "False Positives: 0\n",
-                        "False Negatives: 9\n",
-                        "True Positives: 431\n",
-                        "Recall: 0.9795454545454545\n",
-                        "Precision: 1.0\n",
-                        "\n",
-                        "******** For a Threshold about 0.8 ******\n",
-                        "Accuracy: 0.9893048128342246\n",
-                        "True Negatives: 495\n",
-                        "False Positives: 0\n",
-                        "False Negatives: 10\n",
-                        "True Positives: 430\n",
-                        "Recall: 0.9772727272727273\n",
-                        "Precision: 1.0\n",
-                        "\n",
-                        "******** For a Threshold about 0.85 ******\n",
-                        "Accuracy: 0.9882352941176471\n",
-                        "True Negatives: 495\n",
-                        "False Positives: 0\n",
-                        "False Negatives: 11\n",
-                        "True Positives: 429\n",
-                        "Recall: 0.975\n",
-                        "Precision: 1.0\n",
-                        "\n",
-                        "******** For a Threshold about 0.9 ******\n",
-                        "Accuracy: 0.9871657754010695\n",
-                        "True Negatives: 495\n",
-                        "False Positives: 0\n",
-                        "False Negatives: 12\n",
-                        "True Positives: 428\n",
-                        "Recall: 0.9727272727272728\n",
-                        "Precision: 1.0\n",
-                        "\n",
-                        "******** For a Threshold about 0.95 ******\n",
-                        "Accuracy: 0.9807486631016042\n",
-                        "True Negatives: 495\n",
-                        "False Positives: 0\n",
-                        "False Negatives: 18\n",
-                        "True Positives: 422\n",
-                        "Recall: 0.9590909090909091\n",
-                        "Precision: 1.0\n",
-                        "\n",
-                        "******** For a Threshold about 0.99 ******\n",
-                        "Accuracy: 0.9497326203208556\n",
-                        "True Negatives: 495\n",
-                        "False Positives: 0\n",
-                        "False Negatives: 47\n",
-                        "True Positives: 393\n",
-                        "Recall: 0.8931818181818182\n",
-                        "Precision: 1.0\n"
-                    ]
-                }
-            ],
-            "source": [
-                "# Testing the metrics at different thresholds\n",
-                "threshold_list = [0.05,0.1,0.15,0.2,0.25,0.3,0.35,0.4,0.45,0.5,0.55,0.6,0.65,.7,.75,.8,.85,.9,.95,.99]\n",
-                "pred_proba_df = y_hat\n",
-                "for i in threshold_list:\n",
-                "    print ('\\n******** For a Threshold about {} ******'.format(i))\n",
-                "    # Round up if value is above threshold\n",
-                "    y_test_pred = pred_proba_df.apply(lambda x: 1 if x>i else 0)\n",
-                "    # read metrics\n",
-                "    test_accuracy = metrics.accuracy_score(y_test, y_test_pred)\n",
-                "    print(\"Accuracy: {}\".format(test_accuracy))\n",
-                "    # Confusion matrix\n",
-                "    c = confusion_matrix(y_test, y_test_pred)\n",
-                "    tn, fp, fn, tp = c.ravel()\n",
-                "    recall = tp/(fn+tp)\n",
-                "    precision = tp/(tp+fp)\n",
-                "    # print metrics\n",
-                "    print(\"True Negatives: \" + str(tn))\n",
-                "    print(\"False Positives: \" + str(fp))\n",
-                "    print(\"False Negatives: \" + str(fn))\n",
-                "    print(\"True Positives: \" + str(tp))\n",
-                "    print(\"Recall: \" + str(recall))\n",
-                "    print(\"Precision: \" + str(precision))"
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "Ein Schwellenwert von 0,3 bietet ein besseres Ergebnis für die Anwendung. Er erhöht die Wiederauffindbarkeit auf ein zufriedenstellendes Niveau von 73,21 %, was zu Lasten der Präzision geht. Die Präzision ist jedoch vernachlässigbar."
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "Daraus ergeben sich die folgenden Werte:"
-            ]
-        }, {
-            "cell_type": "code",
-            "execution_count": 205,
-            "metadata": {},
-            "outputs": [{
-                    "name": "stdout",
-                    "output_type": "stream",
-                    "text": [
-                        "              precision    recall  f1-score   support\n",
-                        "\n",
-                        "           0       0.98      0.98      0.98       495\n",
-                        "           1       0.98      0.98      0.98       440\n",
-                        "\n",
-                        "    accuracy                           0.98       935\n",
-                        "   macro avg       0.98      0.98      0.98       935\n",
-                        "weighted avg       0.98      0.98      0.98       935\n",
-                        "\n",
-                        "Confusion matrix for the new threshold:\n"
-                    ]
-                }, {
-                    "data": {
-                        "image/png": 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",
-                        "text/plain": [
-                            "<Figure size 720x504 with 2 Axes>"
-                        ]
-                    },
-                    "metadata": {},
-                    "output_type": "display_data"
-                }, {
-                    "name": "stdout",
-                    "output_type": "stream",
-                    "text": [
-                        " \n",
-                        "Metrics for the new threshold:\n",
-                        "Accuracy: 0.9818181818181818\n",
-                        "True Negatives: 486\n",
-                        "False Positives: 9\n",
-                        "False Negatives: 8\n",
-                        "True Positives: 432\n",
-                        "Recall: 0.9818181818181818\n",
-                        "Precision: 0.9795918367346939\n"
-                    ]
-                }
-            ],
-            "source": [
-                "# Threshold about 0,3\n",
-                "y_test_pred = pred_proba_df.apply(lambda x: 1 if x>0.30 else 0)\n",
-                "test_accuracy = metrics.accuracy_score(y_test, y_test_pred)\n",
-                "c = confusion_matrix(y_test, y_test_pred)\n",
-                "# read values from confusion matrix\n",
-                "tn, fp, fn, tp = c.ravel()\n",
-                "recall = tp/(fn+tp)\n",
-                "precision = tp/(tp+fp)\n",
-                "print(classification_report(y_test,y_test_pred))\n",
-                "# create confusion matrix\n",
-                "print(\"Confusion matrix for the new threshold:\")\n",
-                "df_cm = pd.DataFrame(c, index=['No Churn','Churn'], columns=['No Churn', 'Churn'],)\n",
-                "fig = plt.figure(figsize=[10,7])\n",
-                "heatmap = sns.heatmap(df_cm, annot=True, fmt=\"d\")\n",
-                "heatmap.yaxis.set_ticklabels(heatmap.yaxis.get_ticklabels(), rotation=0, ha='right', fontsize=14)\n",
-                "heatmap.xaxis.set_ticklabels(heatmap.xaxis.get_ticklabels(), rotation=45, ha='right', fontsize=14)\n",
-                "plt.ylabel('True label')\n",
-                "plt.xlabel('Predicted label')\n",
-                "plt.show()\n",
-                "print(\" \")\n",
-                "# print metrics\n",
-                "print(\"Metrics for the new threshold:\")\n",
-                "print(\"Accuracy: {}\".format(test_accuracy))\n",
-                "print(\"True Negatives: \" + str(tn))\n",
-                "print(\"False Positives: \" + str(fp))\n",
-                "print(\"False Negatives: \" + str(fn))\n",
-                "print(\"True Positives: \" + str(tp))\n",
-                "print(\"Recall: \" + str(recall))\n",
-                "print(\"Precision: \" + str(precision))"
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {
-                "include": true,
-                "paragraph": "Evaluation"
-            },
-            "source": [
-                "Erwartungsgemäß steigt die Rate der fälschlicherweise als abgewandert eingestuften Kunden. Im Gegenzug steigt aber auch die Anzahl der Kunden, die korrekt als Abwanderer vorhergesagt werden (True Positives). Wie in der Hausarbeit ausgeführt, ist dies essentiell, denn im Zweifelsfall würde ein Kunde fälschlicherweise vom Serviceteam angerufen werden und diesen Anruf sogar als guten Service wahrnehmen und längerfristig an das Unternehmen binden."
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {
-                "include": true,
-                "paragraph": "Deployment"
-            },
-            "source": [
-                "# 5. Deployment"
-            ]
-        }, {
-            "cell_type": "code",
-            "execution_count": 206,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "# Separate individual (scaled) customer\n",
-                "customer_df = X_test.iloc[896]"
-            ]
-        }, {
-            "cell_type": "code",
-            "execution_count": 207,
-            "metadata": {},
-            "outputs": [{
-                    "data": {
-                        "text/plain": [
-                            "SeniorCitizen                     0.000000\n",
-                            "Dependents                        0.000000\n",
-                            "tenure                           -0.302393\n",
-                            "PhoneService                      1.000000\n",
-                            "PaperlessBilling                  0.000000\n",
-                            "MultipleLines_Yes                 0.000000\n",
-                            "InternetService_Fiber optic       0.000000\n",
-                            "InternetService_No                1.000000\n",
-                            "OnlineSecurity_Yes                0.000000\n",
-                            "TechSupport_Yes                   0.000000\n",
-                            "StreamingTV_Yes                   0.000000\n",
-                            "StreamingMovies_Yes               0.000000\n",
-                            "Contract_One year                 0.000000\n",
-                            "Contract_Two year                 1.000000\n",
-                            "PaymentMethod_Electronic check    0.000000\n",
-                            "Name: 1544, dtype: float64"
-                        ]
-                    },
-                    "execution_count": 207,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                }
-            ],
-            "source": [
-                "# Overview about the customer\n",
-                "customer_df"
-            ]
-        }, {
-            "cell_type": "code",
-            "execution_count": 208,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "# execute prediction\n",
-                "cust_pred = logistic_model.predict([customer_df])"
-            ]
-        }, {
-            "cell_type": "code",
-            "execution_count": 209,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "# evaluate results\n",
-                "def check_prediction(pred):\n",
-                "    if pred[0] == 1:\n",
-                "        print(\"The customer will probably churn! Inform Customer Relationship Management!\")\n",
-                "    else:\n",
-                "        print(\"The customer probably will not churn.\")"
-            ]
-        }, {
-            "cell_type": "code",
-            "execution_count": 210,
-            "metadata": {},
-            "outputs": [{
-                    "name": "stdout",
-                    "output_type": "stream",
-                    "text": [
-                        "The customer probably will not churn.\n"
-                    ]
-                }
-            ],
-            "source": [
-                "check_prediction(cust_pred)"
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "# Zusammenfassung"
-            ]
-        }, {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "Das Notebook hat gezeigt, wie eine logistische Regression verwendet werden kann, um die Abwanderung von Kunden im Telekommunikationssegment vorherzusagen."
-            ]
-        }
-    ],
-    "metadata": {
-        "category": "CRM",
-        "interpreter": {
-            "hash": "07673f924689cda9590af2124148040e2ce6fe7ee39bbd541ae69d9c32a71079"
-        },
-        "kernelspec": {
-            "display_name": "Python 3 (ipykernel)",
-            "language": "python",
-            "name": "python3"
-        },
-        "language_info": {
-            "codemirror_mode": {
-                "name": "ipython",
-                "version": 3
-            },
-            "file_extension": ".py",
-            "mimetype": "text/x-python",
-            "name": "python",
-            "nbconvert_exporter": "python",
-            "pygments_lexer": "ipython3",
-            "version": "3.12.3"
-        },
-        "title": "Customer Churn Prediction",
-		"skipNotebookInDeployment": false
+ "cells": [
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {
+    "editable": true,
+    "include": true,
+    "paragraph": "BusinessUnderstanding",
+    "slideshow": {
+     "slide_type": ""
     },
-    "nbformat": 4,
-    "nbformat_minor": 4
+    "tags": []
+   },
+   "source": [
+    "# 1. Business Understanding\n",
+    "\n",
+    "Test Input Kundenabwanderung ist die Entscheidung eines Kunden, eine bestimmte Unternehmensdienstleistung nicht mehr zu kaufen. Sie stellt somit das Gegenstück zur langfristigen Kundenbindung dar. Um die Kundenbindung zu fördern, müssen Unternehmen Analysen einsetzen, die frühzeitig erkennen, ob ein Kunde das Unternehmen verlassen will. So können Marketing- und Vertriebsmaßnahmen eingeleitet werden, bevor es zum eigentlichen Kundenverlust kommt. In diesem Zusammenhang beantwortet der Service konkret diese beiden Fragen: Wie hoch ist die Wahrscheinlichkeit, dass anhand historischer Daten vorhergesagt werden kann, ob ein Kunde zu einem anderen Anbieter abwandert? Welche Faktoren führen zur Kundenabwanderung?"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {
+    "editable": true,
+    "include": true,
+    "paragraph": "DataUnderstanding",
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
+   "source": [
+    "# 2. Daten und Datenverständnis\n",
+    "\n",
+    "Zur Visualisierung und Implementierung des Dienstes wird der Datensatz eines fiktiven Telekommunikationsunternehmens verwendet. Dieser besteht aus 7.043 Zeilen. Jede Zeile beschreibt einen Kunden mit 21 Spalten. Jede Spalte definiert verschiedene Merkmale (Attribute) der Kunden. Anhand der Daten soll klassifiziert werden, ob ein Kunde das Unternehmen verlässt oder nicht. Zu diesem Zweck enthalten die historischen Daten die Zielvariable \"Churn\", die Auskunft darüber gibt, ob ein Kunde abgewandert ist oder nicht.ot."
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 2.1. Import von relevanten Modulen"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 141,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "import seaborn as sns\n",
+    "import statsmodels.api as sm\n",
+    "import warnings\n",
+    "import imblearn\n",
+    "from statsmodels.stats.outliers_influence import variance_inflation_factor\n",
+    "from sklearn.preprocessing import StandardScaler\n",
+    "from sklearn.linear_model import LogisticRegression\n",
+    "from imblearn.under_sampling import InstanceHardnessThreshold\n",
+    "from sklearn import metrics\n",
+    "from sklearn.metrics import classification_report, confusion_matrix\n",
+    "from sklearn.model_selection import train_test_split\n",
+    "sns.set()\n",
+    "# remove warnings\n",
+    "warnings.filterwarnings('ignore')"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 2.2. Daten einlesen"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 142,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>customerID</th>\n",
+       "      <th>gender</th>\n",
+       "      <th>SeniorCitizen</th>\n",
+       "      <th>Partner</th>\n",
+       "      <th>Dependents</th>\n",
+       "      <th>tenure</th>\n",
+       "      <th>PhoneService</th>\n",
+       "      <th>MultipleLines</th>\n",
+       "      <th>InternetService</th>\n",
+       "      <th>OnlineSecurity</th>\n",
+       "      <th>...</th>\n",
+       "      <th>DeviceProtection</th>\n",
+       "      <th>TechSupport</th>\n",
+       "      <th>StreamingTV</th>\n",
+       "      <th>StreamingMovies</th>\n",
+       "      <th>Contract</th>\n",
+       "      <th>PaperlessBilling</th>\n",
+       "      <th>PaymentMethod</th>\n",
+       "      <th>MonthlyCharges</th>\n",
+       "      <th>TotalCharges</th>\n",
+       "      <th>Churn</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>7590-VHVEG</td>\n",
+       "      <td>Female</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Yes</td>\n",
+       "      <td>No</td>\n",
+       "      <td>1</td>\n",
+       "      <td>No</td>\n",
+       "      <td>No phone service</td>\n",
+       "      <td>DSL</td>\n",
+       "      <td>No</td>\n",
+       "      <td>...</td>\n",
+       "      <td>No</td>\n",
+       "      <td>No</td>\n",
+       "      <td>No</td>\n",
+       "      <td>No</td>\n",
+       "      <td>Month-to-month</td>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Electronic check</td>\n",
+       "      <td>29.85</td>\n",
+       "      <td>29.85</td>\n",
+       "      <td>No</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>5575-GNVDE</td>\n",
+       "      <td>Male</td>\n",
+       "      <td>0</td>\n",
+       "      <td>No</td>\n",
+       "      <td>No</td>\n",
+       "      <td>34</td>\n",
+       "      <td>Yes</td>\n",
+       "      <td>No</td>\n",
+       "      <td>DSL</td>\n",
+       "      <td>Yes</td>\n",
+       "      <td>...</td>\n",
+       "      <td>Yes</td>\n",
+       "      <td>No</td>\n",
+       "      <td>No</td>\n",
+       "      <td>No</td>\n",
+       "      <td>One year</td>\n",
+       "      <td>No</td>\n",
+       "      <td>Mailed check</td>\n",
+       "      <td>56.95</td>\n",
+       "      <td>1889.5</td>\n",
+       "      <td>No</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>3668-QPYBK</td>\n",
+       "      <td>Male</td>\n",
+       "      <td>0</td>\n",
+       "      <td>No</td>\n",
+       "      <td>No</td>\n",
+       "      <td>2</td>\n",
+       "      <td>Yes</td>\n",
+       "      <td>No</td>\n",
+       "      <td>DSL</td>\n",
+       "      <td>Yes</td>\n",
+       "      <td>...</td>\n",
+       "      <td>No</td>\n",
+       "      <td>No</td>\n",
+       "      <td>No</td>\n",
+       "      <td>No</td>\n",
+       "      <td>Month-to-month</td>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Mailed check</td>\n",
+       "      <td>53.85</td>\n",
+       "      <td>108.15</td>\n",
+       "      <td>Yes</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>7795-CFOCW</td>\n",
+       "      <td>Male</td>\n",
+       "      <td>0</td>\n",
+       "      <td>No</td>\n",
+       "      <td>No</td>\n",
+       "      <td>45</td>\n",
+       "      <td>No</td>\n",
+       "      <td>No phone service</td>\n",
+       "      <td>DSL</td>\n",
+       "      <td>Yes</td>\n",
+       "      <td>...</td>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Yes</td>\n",
+       "      <td>No</td>\n",
+       "      <td>No</td>\n",
+       "      <td>One year</td>\n",
+       "      <td>No</td>\n",
+       "      <td>Bank transfer (automatic)</td>\n",
+       "      <td>42.30</td>\n",
+       "      <td>1840.75</td>\n",
+       "      <td>No</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>9237-HQITU</td>\n",
+       "      <td>Female</td>\n",
+       "      <td>0</td>\n",
+       "      <td>No</td>\n",
+       "      <td>No</td>\n",
+       "      <td>2</td>\n",
+       "      <td>Yes</td>\n",
+       "      <td>No</td>\n",
+       "      <td>Fiber optic</td>\n",
+       "      <td>No</td>\n",
+       "      <td>...</td>\n",
+       "      <td>No</td>\n",
+       "      <td>No</td>\n",
+       "      <td>No</td>\n",
+       "      <td>No</td>\n",
+       "      <td>Month-to-month</td>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Electronic check</td>\n",
+       "      <td>70.70</td>\n",
+       "      <td>151.65</td>\n",
+       "      <td>Yes</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>5 rows × 21 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   customerID  gender  SeniorCitizen Partner Dependents  tenure PhoneService  \\\n",
+       "0  7590-VHVEG  Female              0     Yes         No       1           No   \n",
+       "1  5575-GNVDE    Male              0      No         No      34          Yes   \n",
+       "2  3668-QPYBK    Male              0      No         No       2          Yes   \n",
+       "3  7795-CFOCW    Male              0      No         No      45           No   \n",
+       "4  9237-HQITU  Female              0      No         No       2          Yes   \n",
+       "\n",
+       "      MultipleLines InternetService OnlineSecurity  ... DeviceProtection  \\\n",
+       "0  No phone service             DSL             No  ...               No   \n",
+       "1                No             DSL            Yes  ...              Yes   \n",
+       "2                No             DSL            Yes  ...               No   \n",
+       "3  No phone service             DSL            Yes  ...              Yes   \n",
+       "4                No     Fiber optic             No  ...               No   \n",
+       "\n",
+       "  TechSupport StreamingTV StreamingMovies        Contract PaperlessBilling  \\\n",
+       "0          No          No              No  Month-to-month              Yes   \n",
+       "1          No          No              No        One year               No   \n",
+       "2          No          No              No  Month-to-month              Yes   \n",
+       "3         Yes          No              No        One year               No   \n",
+       "4          No          No              No  Month-to-month              Yes   \n",
+       "\n",
+       "               PaymentMethod MonthlyCharges  TotalCharges Churn  \n",
+       "0           Electronic check          29.85         29.85    No  \n",
+       "1               Mailed check          56.95        1889.5    No  \n",
+       "2               Mailed check          53.85        108.15   Yes  \n",
+       "3  Bank transfer (automatic)          42.30       1840.75    No  \n",
+       "4           Electronic check          70.70        151.65   Yes  \n",
+       "\n",
+       "[5 rows x 21 columns]"
+      ]
+     },
+     "execution_count": 142,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data_raw = pd.read_csv(\"https://storage.googleapis.com/ml-service-repository-datastorage/Customer_Churn_Prediction_data.csv\")\n",
+    "data_raw.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 143,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "RangeIndex: 7043 entries, 0 to 7042\n",
+      "Data columns (total 21 columns):\n",
+      " #   Column            Non-Null Count  Dtype  \n",
+      "---  ------            --------------  -----  \n",
+      " 0   customerID        7043 non-null   object \n",
+      " 1   gender            7043 non-null   object \n",
+      " 2   SeniorCitizen     7043 non-null   int64  \n",
+      " 3   Partner           7043 non-null   object \n",
+      " 4   Dependents        7043 non-null   object \n",
+      " 5   tenure            7043 non-null   int64  \n",
+      " 6   PhoneService      7043 non-null   object \n",
+      " 7   MultipleLines     7043 non-null   object \n",
+      " 8   InternetService   7043 non-null   object \n",
+      " 9   OnlineSecurity    7043 non-null   object \n",
+      " 10  OnlineBackup      7043 non-null   object \n",
+      " 11  DeviceProtection  7043 non-null   object \n",
+      " 12  TechSupport       7043 non-null   object \n",
+      " 13  StreamingTV       7043 non-null   object \n",
+      " 14  StreamingMovies   7043 non-null   object \n",
+      " 15  Contract          7043 non-null   object \n",
+      " 16  PaperlessBilling  7043 non-null   object \n",
+      " 17  PaymentMethod     7043 non-null   object \n",
+      " 18  MonthlyCharges    7043 non-null   float64\n",
+      " 19  TotalCharges      7043 non-null   object \n",
+      " 20  Churn             7043 non-null   object \n",
+      "dtypes: float64(1), int64(2), object(18)\n",
+      "memory usage: 1.1+ MB\n"
+     ]
+    }
+   ],
+   "source": [
+    "data_raw.info()"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {
+    "include": true,
+    "paragraph": "DataUnderstanding"
+   },
+   "source": [
+    "Der Datensatz besteht aus 7.043 Zeilen und 21 Attributen:\n",
+    "\n",
+    "- Zu prognostizierendes Attribut: Abwanderung\n",
+    "- Numerische Attribute: Vertragsdauer, Monatsgebühren und Gesamtgebühren.\n",
+    "- Kategorische Attribute: CustomerID, Gender, SeniorCitizen, Partner, Angehörige, PhoneService, MultipleLines, InternetService, OnlineSecurity, OnlineBackup, DeviceProtection, TechSupport, StreamingTV, StreamingMovies, Contract, PaperlessBilling, PaymentMethod.\n",
+    "Es wurden nicht alle Datentypen korrekt eingelesen:\n",
+    "\n",
+    "- TotalCharges muss ein numerischer Wert sein -> in Float umwandeln\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 144,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>customerID</th>\n",
+       "      <th>gender</th>\n",
+       "      <th>SeniorCitizen</th>\n",
+       "      <th>Partner</th>\n",
+       "      <th>Dependents</th>\n",
+       "      <th>tenure</th>\n",
+       "      <th>PhoneService</th>\n",
+       "      <th>MultipleLines</th>\n",
+       "      <th>InternetService</th>\n",
+       "      <th>OnlineSecurity</th>\n",
+       "      <th>...</th>\n",
+       "      <th>DeviceProtection</th>\n",
+       "      <th>TechSupport</th>\n",
+       "      <th>StreamingTV</th>\n",
+       "      <th>StreamingMovies</th>\n",
+       "      <th>Contract</th>\n",
+       "      <th>PaperlessBilling</th>\n",
+       "      <th>PaymentMethod</th>\n",
+       "      <th>MonthlyCharges</th>\n",
+       "      <th>TotalCharges</th>\n",
+       "      <th>Churn</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>0 rows × 21 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "Empty DataFrame\n",
+       "Columns: [customerID, gender, SeniorCitizen, Partner, Dependents, tenure, PhoneService, MultipleLines, InternetService, OnlineSecurity, OnlineBackup, DeviceProtection, TechSupport, StreamingTV, StreamingMovies, Contract, PaperlessBilling, PaymentMethod, MonthlyCharges, TotalCharges, Churn]\n",
+       "Index: []\n",
+       "\n",
+       "[0 rows x 21 columns]"
+      ]
+     },
+     "execution_count": 144,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# test for duplicates\n",
+    "data_raw[data_raw.duplicated(keep=False)]"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Keine Duplikate im Datensatz"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 2.3. Datenbereinigung"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Hier sollten die ersten Lesefehler korrigiert werden, bevor die eigentliche Datenaufbereitung erfolgt."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 145,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "RangeIndex: 7043 entries, 0 to 7042\n",
+      "Data columns (total 21 columns):\n",
+      " #   Column            Non-Null Count  Dtype  \n",
+      "---  ------            --------------  -----  \n",
+      " 0   customerID        7043 non-null   object \n",
+      " 1   gender            7043 non-null   object \n",
+      " 2   SeniorCitizen     7043 non-null   int64  \n",
+      " 3   Partner           7043 non-null   object \n",
+      " 4   Dependents        7043 non-null   object \n",
+      " 5   tenure            7043 non-null   int64  \n",
+      " 6   PhoneService      7043 non-null   object \n",
+      " 7   MultipleLines     7043 non-null   object \n",
+      " 8   InternetService   7043 non-null   object \n",
+      " 9   OnlineSecurity    7043 non-null   object \n",
+      " 10  OnlineBackup      7043 non-null   object \n",
+      " 11  DeviceProtection  7043 non-null   object \n",
+      " 12  TechSupport       7043 non-null   object \n",
+      " 13  StreamingTV       7043 non-null   object \n",
+      " 14  StreamingMovies   7043 non-null   object \n",
+      " 15  Contract          7043 non-null   object \n",
+      " 16  PaperlessBilling  7043 non-null   object \n",
+      " 17  PaymentMethod     7043 non-null   object \n",
+      " 18  MonthlyCharges    7043 non-null   float64\n",
+      " 19  TotalCharges      7032 non-null   float64\n",
+      " 20  Churn             7043 non-null   object \n",
+      "dtypes: float64(2), int64(2), object(17)\n",
+      "memory usage: 1.1+ MB\n"
+     ]
+    }
+   ],
+   "source": [
+    "# convert total charges\n",
+    "data_raw['TotalCharges'] = pd.to_numeric(data_raw['TotalCharges'], errors='coerce')\n",
+    "data_raw.info()"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Die Konvertierung der TotalCharges hat zu Nullwerten geführt. Diese Nullwerte müssen korrigiert werden."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 146,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Remove zero values\n",
+    "# axis = 0 rows / axis = 1 columns\n",
+    "data_no_mv = data_raw.dropna(axis=0)"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 2.4. Deskriptive Analytik"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "In diesem Teil des Notebooks soll das Datenverständnis mit Hilfe der deskriptiven Analytik berücksichtigt werden. Nach dem Entfernen der Nullwerte besteht der Datensatz aus 7032 Zeilen, von denen jeweils eine einen Kunden beschreibt, und 21 Spalten, die die Attribute des Kunden definieren. Mit Hilfe dieser Daten soll versucht werden, zu klassifizieren, ob ein Kunde abwandert oder nicht. Zu diesem Zweck enthalten die historischen Daten die Zielvariable \"Churn\", die Auskunft darüber gibt, ob ein Kunde abgewandert ist.\n"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 2.4.1. Kontinuierliche Merkmale"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Zunächst werden die Verteilungen der kontinuierlichen Merkmale einzeln untersucht und in einem zweiten Schritt die kategorialen Merkmale in Zusammenhang mit der Zielvariablen gesetzt."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 147,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# load continous features\n",
+    "numeric_data = data_no_mv.select_dtypes(include=[np.number])"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Besitz"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 148,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<seaborn.axisgrid.FacetGrid at 0x23e942418e0>"
+      ]
+     },
+     "execution_count": 148,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 360x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.displot(numeric_data[\"tenure\"])"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "- Keine Normalverteilung erkennbar.\n",
+    "- Keine Ausreißer erkennbar.\n",
+    "- Kunden sind potentiell gleichmäßig über die einzelnen Monate verteilt, aber eine große Anzahl von Kunden ist noch nicht lange im Unternehmen.\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 149,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<AxesSubplot:xlabel='tenure', ylabel='Density'>"
+      ]
+     },
+     "execution_count": 149,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.distplot(data_no_mv[data_no_mv.Churn == 'No'][\"tenure\"],\n",
+    "             bins=10,\n",
+    "             color='orange',\n",
+    "             label='Non-Churn',\n",
+    "             kde=True)\n",
+    "sns.distplot(data_no_mv[data_no_mv.Churn == 'Yes'][\"tenure\"],\n",
+    "             bins=10,\n",
+    "             color='blue',\n",
+    "             label='Churn',\n",
+    "             kde=True)"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Kunden, die noch nicht lange bei dem Unternehmen sind, werden eher abwandern als langjährige Kunden."
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Monatliche Kosten"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 150,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<AxesSubplot:xlabel='MonthlyCharges', ylabel='Density'>"
+      ]
+     },
+     "execution_count": 150,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.distplot(numeric_data[\"MonthlyCharges\"])"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "- Es ist keine Normalverteilung erkennbar.\n",
+    "- Die meisten Kunden befinden sich im vorderen Teil der Verteilung und zahlen relativ niedrige monatliche Gebühren.\n",
+    "- Dennoch verläuft die Kurve gleichmäßig mit einem erneuten Anstieg nach hinten und dementsprechend können keine Ausreißer identifiziert werden.\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 151,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<AxesSubplot:xlabel='MonthlyCharges', ylabel='Density'>"
+      ]
+     },
+     "execution_count": 151,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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uwhfyhLdEyvsOxXoAT2SbAAYoBIKmwf/+p6NmTZU2bYLdf1cmN/fyXcvi4qBPH+jTR+Mf/3Czf7+H+fMVFi3SsWiRjrFjPTz8sKdELzWxeFfVVOY2FFVVOXLkCIcPH8bj8RAXF8e//vUvbrzxRsaNGxfIGIWLkO3HUJzZOKI7lus8T1gjNElBZz0oEkoVdPCgzPHjMrff7gp66cRqlXxzhJWPRseOKk2bwrff6nnnHR1Llsjcd5+T6D/mNRWLd1VNZUooM2bMYPHixTRo0ICRI0fy+uuvo9frsVqt3HTTTSKhBIGucAsAanQSFGWW/URZj2pqgGL7PUCRCYH000+Kry2iqouO9o6fadvWwxdf6Hn9dSNjxzoD2gVaCKwyJZT8/HxmzZpFy5YtS2w3m8289tprAQlMKJ2+YDOabESNSCxfQgE8YU3Qn/4BVBfIYvBAVVFYCLt3y/ToUb3GfLRtq1KzppNZswy8956BRx91BjskoYLKVGj2eDx/SiZnSyU33HCD/6MSLktXsMU70WMF5uXymBsjaR4U+9EARCYEyqZNCqoq0bVr1S+dXKhOHY1HHnEiSfD++wby8oIdkVARpZZQnnvuObKzs9myZQv5+fm+7W63m2PHjgU8OOESVDf6wu3Y6o+p0OmesCYAKNbf8Zib+jMyIUBUFX75RaFpUw/x8dWzSighQeOBB5y89ZaBCRP0pKdX/hgb4cqUmlCGDRvG/v372bdvH/379/dtVxSF9u3bBzo24RIUSwaSasUdlUxFxolpughUQ4JoR6lCfv9dIj9fpn//6l0dVL++xh13uJg718CrrxqYPLl6P9/qptSE0rZtW9q2bcv1119PrVq1Kism4TL0Bd4GeVd0pwolFABPWGOU4l3efqj+mqJWCJitWxUMBi0EugoHXocOKjabhzfeMNCvn5uBA4MdkVBWpSaU8ePH8/rrr/Pggw9edP+SJUsCEpRQOl3Rr6i6GNSwxsDJCl3DE3YN+oJfkNyn0fRivddQ5nLBr78qtGmjXjULXU2a5GbTJj3jxoXRt2+woxHKqtSEMnbsWACeffbZSglGKBtd0Q7ckW29JYsKVqd7/pidWLEdxS0SSkjbu1fGbpfo1Kn6NcZfSkQEvPqqnREjzMycCffdF+yIhLIotZdXmzbegW+dO3emTp06dO7cGavVyqZNm7j22msve/ElS5YwcOBA+vXrx9y5c/+0PyMjg9TUVPr378/kyZNxu0vOmjpz5kzeeOMN3+ONGzfSpUsXhgwZwpAhQ3jqqafK9CSrFc2Drmi3N6FcAdVYDw0F2S46V4S67dsVwsM1mjWr/tVd5+vTx8Mtt7h48UU4eVJUy1YFZeo2PGXKFGbNmsXBgwd55plnOH78OE8//XSp52RnZzNjxgzmzZtHWloa8+fP58CBAyWOmThxIlOmTGHFihVomsaCBQsAKCoq4umnn2bOnDkljt+1axf3338/6enppKenM23atPI812pBsR7yNshfYUJB1qGa6oiuwyHO5YKMDJm2bT1X5Uy9L7zgwOmE6dPFstVVQZkSyq5du/jXv/7FqlWruO2225g2bRqZmaUPplu/fj1du3YlJiYGs9lM//79Wb58uW9/ZmYmdrvd11ssNTXVt3/16tU0atSI+y4o5+7cuZN169aRkpLCI488QlZWVnmea7WgK/oVwDsG5Qp5TNeg2I55G+aFkLRvn4zTKZGUdHWVTs5q1EjjoYe8yxz//rsopYS6Mo2U1zQNWZb56aefeOSRRwCw20ufrfbUqVPEx8f7HickJLBjx45L7o+Pjyc7OxuAoUOHApSo7gKIjIxkwIAB9OvXj88//5wJEybwxRdflOUpABAXF1HmY70xRZbr+EqRuQ9kPbENk0ExgCUfIk0lDom84PEl2ZrAmfVEGorBFP/n/eFGwsMr5zUIyde6DPwVt9UKkRe51J49EB4O7dsbKlxC0eshMvLcv3qZ3x/lvK4/mc0QH+/tgTB5MsyeLfHGGxF8+mlAbhcwVfF9fSUxl+ndcM011zB27FiOHz9O586d+cc//kFiYmKp56iqinRed1RN00o8vtz+i3nhhRd8v48YMYLXXnuNoqIiIi/2n3gReXnFqGrZvo3Hx0eSk1NUpmMrU3T2ZmRzS07nOwAHZs2BWnQuuUdGmigqKtvU9LJUh3DAlrcfd9SfX0M5yoHVGvjXIFRf68vxZ9xWq4GiopLvTbcbduwwkpTkwWqt+KqMLpeOoiLv+eV5f5Tnuv5mtSpkZHhLZWazkbvucvPxxwr33OOkwWVWuy5NZc5iXBXf1xfGLMtSub6IlymhTJs2jVWrVtGpUyf0ej3Jycm+UsSl1K5dm82bN/se5+TkkJCQUGJ/Tk6O73Fubm6J/RdSVZX33nuPhx56COW8r2rKVVaxrCvaiTPOP/0oVWNtNEmHYjuGO6p8sxYLgff7797eXa1bX33VXefPZBwZCfXru5EkheefV0hNrXgSE7MYB1aZ2lDMZjPJyckUFhaye/dukpKSOHToUKnndO/enQ0bNpCfn4/NZmPlypX07NnTt79evXoYjUa2bPEO0ktPTy+x/0+ByjKrVq1ixYoVAKSlpdGuXTvMZnNZnkK1IDlzkZ2ncEe09tMFdajGesiiYT4kZWTI6HRXX++ui4mOhk6dPGzcqFBUtb70X1XKVEJ5/fXX+fDDD4mLi/NtkySJ1atXX/KcWrVqMWHCBEaPHo3L5WLYsGEkJSUxduxYxo0bR9u2bZk+fTrPPPMMxcXFtG7dmtGjR5caxyuvvMKzzz7LW2+9RWxsLK+++moZn2b1oLPsA8Ad0fIyR5adJ6wB+oJNoKkghdjyf1e5PXtkmja9egYzXs6NN3rYuFHHhg0K/fpdPWNyqpIyJZT09HRWrlxZ7ulXUlJSSElJKbFt1qxZvt9btmzJwoULL3n+Y489VuJx8+bNy9UIX90oxRmAd9VFf/GYGmA4vQ7JmYNmFNPrhIqcHIncXJkePcSqhWclJGgkJnr4+Wcdffpcnd2oQ12ZvpLWqVNHzOUVAnSWvahKBKqpvt+uqZquAUARAxxDSkaG91/z2mtFddf5rr/eQ2GhxK5dojQdispUQunWrRuvvvoqffr0wWQ61+WwdWs/1eULZaJY9uEJT/TrZI6qsRaapEexH8Udney36wpXJiNDplYtldhYMUbofC1bqsTGqvz0k4527cRMxKGmTAll8eLFACUGJl6uDUXwP6V4L66afp4pT1JQTfWRbaKEEirsdu/a8T17inaCC8kydO3qYelSPbm5EjVrioQbSsqUUL7//vtAxyFchuTKR3FmY/Nj+8lZHlMD9Gd+Fg3zIeK332RUVaJVK5FQLqZjRw/LlunYskWhf//AjIMRKqZMnx4Wi4UXXniBMWPGcObMGaZMmYLFYgl0bMJ5FMtvAN4qLz/zmBogaU5kZ87lDxYCLiNDJixMo2FD8e37YmJioHlzlc2bFVTRxBRSypRQpk6dSmRkJHl5eRiNRoqLi5kyZUqgYxPOoyveC/i3y/BZqqkeALL9uN+vLZSPqsLevQotW6qiF1MpkpM9nD4tceiQKFGHkjL9NTIyMpgwYQI6nY6wsDCmT59ORkZGoGMTzqNYMtBks69Xlj/5RsyLhBJ0WVkSRUUSiYmiuqs03sXGNDZvFgkllJTpryHLJQ/zeDx/2iYElq54L+7wxMC0cUgKqrGOKKGEgN9+8/59W7QQdTmlMRigXTsPO3YoOBzBjkY4q0yfTtdddx3/+c9/sNvt/Pjjj/ztb3+jS5cugY5NOI9i2Ycnwv/tJ2d5TA28JRQxlX1Q/fabTO3aKlFRwY4k9CUne3A6JXbuFF9uQ0WZ/hL//Oc/MZvNREZGMnPmTFq2bMkTTzwR6NiEP0iuAhTHCdwB6OF1lmqqh6RakdynA3YPoXQul3dCSFE6KZvGjTXi4ryN80JouGy34VWrVjF79mz27duHyWQiMTGRjh07YhQTDFUa5Y85vPw55cqFPH+Mvldsx8Qa80Fy6JCM2y3RvLlIKGUhSdCxo8p333knjCzjKhZCAJWaUJYtW8aMGTMYN24cLVu2RJIkdu7cyUsvvYTD4aBfv36VFedV7dykkIGr8lKNddGQkR2ZQLuA3Ue4tN9+k1EUjSZNREIpq6QkD6tW6di5U6F7d9GRIdhKTSiffPIJH330EXXr1vVta9q0Ke3atePpp58WCaWSKMUZaLIJNaxR4G4iG1CNCWJOryDav1+mUSMxu3B51K6tER+vsmOHLBJKCCi1DcVisZRIJmc1btwYh+haUWl0lr24w1uAFNi6YtXUANmeGdB7CBeXmwsnToj2k/KSJGjXTuXgQZni4mBHI5SaUEpbDVETvYEqjW9SyADzGOshuwuQ3IUBv5dQ0oYN3n/FxESRUMorKcmDpkns2iUa54NN9LcLcZK7CMV+LKAN8mepJu9i3aKUUvnWr5cxmzXq1hVf1MqrTh2NmjW91V5CcJXahrJv3z46dvzzWuOapuF0iqmjK8PZObwCMeXKhTx/TMGi2I/jibg24PcTvDTNW0Jp3lxFjBcuP0mCpCSVNWsULBYIDw92RFevUhPKqlWrKisO4RIUi3cOr8oooaCEoeprihHzlWzfPplTpyR69RLVXRWVlOTh++917Nql0KWLaJwPllITSr169SorDuESdMV70SQDnrDGlXI/j6m+mNOrkv3wg7fuv3lz8UFYUfXqeQc57tghi4QSRKKAHeIUy1484c1BLtPSNVdMNdVHduWCx1Yp9xPghx90NGyoEivGk1aYJEHbtioHDsjY7cGO5upVOZ9SQoXpLPtwRf25HStQfCPm7ZmI5uHAczph/XqFIUMCV90l4cGgFXgfOCwYNP8sSiUR45fr+Evr1h7WrNGxb59Mu3ai+jAYREIJZR4Lsu0InjojK+2W59ZGOYaoOAi8zZsVrFaJbt1UAtXPRdI8aGd2EKnPIUHKIlw6Qrg+F6NswSBbUGQXqqbg0fS41DCs7hpY3HEUu+LJdzSk2F0TkC5y3W6EUiVHw4YaZrPG7t2KSChBIhJKCNNZ9iOhVUoPr7M0XRSqLhrFkSkSSiX44QcFRdHo0kXlxx/9eWWNBN02Ghr/R5PMdVybuA6Tcm7kn0dTcHrCcarheDQ9Mh5kyYVBsWFSikpcyeEJJ9fRmCxra++PrTV2T7Q/g/ULWYZrr1XJyJDxeBALlAWBSCghrFJ7eJ1HNdVHFlOwVIq1a3V06KD6bWLDBN02WoZ9SXPTV8ToDgNgd7bgQGEPsm2JWGlMdnFtrO5YLlbqAFAkJ2ZdPlH6k8QajxBnPEK86QAd4haRXHM+miZx0tYSLe8OauoGketuc8lrVbZWrTxs2aJw+LBE06ai0rayiYQSwnTF+9AkHR5z00q9r8dUH0PxHm/DvHiHBMyZM7Btm8yECVdW16VgJzFsIe3N71HHsBmPpuOooze/FE/ikOMWuvaI58dfNwBgMumxu12lXs+jGShy1abIVZtMa/tz95Ec1Ar7jfrmbTSK/IU6ec8zJv55cl3XkmEbQYb9Doo8Da/ouVypxEQVRdHYs0ehaVP/tBUJZSc+LkKYYsnAY24Gsr5S76ua6iOhIRf/BjFNKvXeV5N163SoqkSvXh6g/PUzeqmY9ub3SA5/HbOSQ547ke8LppNhG4FdO7/LmH/aEzyakRPWtpywtmVj7mhuGtyYk9uWcq3pC3pETaFH1BQO2fuz3fowhx390CrwnK6UyQRNm6rs2SOTklLpt7/qiYQSwpTivXgikyr9vmd7eslFuyHmlkq//9Xihx8UwsM1OnXyUFBQ9g9fHVY6hr9FcsTrhMl5/G6/mU1n/s4xZy8qs+rJravNDuuD7LA+SJRyhNZhn5Jknk1qbCpn3I3YYhnHLuu9uAmrtJgAWrVSSUvTk5MjER8vqr0qU+h00RBK8thQbIcDugbKpWi6GqhKOHLh7kq/99Xkhx90XH+9B32ZC6AqrcI+4/6EtvSImkKW8zrm5v7A4tNfc8x5I5XdjiFJGgatAINWgN0dw5aix/g4exPL8t/HqsbTJ/rvjE1oQbfwqURwzHdsWX6kK+gS0qqV99zdu8XHW2ULaAllyZIlvPPOO7jdbsaMGcOoUaNK7M/IyGDy5MlYLBaSk5N5/vnn0enOhTRz5kwUReGxxx4DoLCwkH/+858cO3aM2NhYZs6cSXx8fCCfQtAo1gNIqJXeIA+AJKGarkEp2FH5975KHDkicfiwzNix3vYTBScGzXrJ4xP027gp+kkSDDvIdrZn5em3OeHsCoCBglLvJUkR/gv8fJqKdmZXiU0eYD9N2M+/qWveSXLNz+ke9RKdwmfwa/5QtuUNw6FGXfbSV9IlOTYW6tRR2bNH4cYbRV/FyhSwFJ6dnc2MGTOYN28eaWlpzJ8/nwMHDpQ4ZuLEiUyZMoUVK1agaRoLFiwAoKioiKeffpo5c+aUOH7mzJkkJyezbNkyhg8fzksvvRSo8INOV+zt4RXIdeRL4wlriGTZj+QuuvzBQrn98IP3i5O3/QQkzYl2ZteffvSFv9DD+Ah31ByIWcpkxfGnmH/gVTJPRVz0+Iv9oAVjTIbECWsSXx+dxueH3uGoJZnO8fO4t/nddK75CQbZEtC7t2qlcviwhPXSOVoIgIAllPXr19O1a1diYmIwm83079+f5cuX+/ZnZmZit9tp3749AKmpqb79q1evplGjRtx3330lrrlmzRpS/mhpGzx4MGvXrsXlKr3HSlWlWPaiSQqe8GZBub8nrCESGrrCX4Ny/+ruhx8U6tRRS10/vknkT9zd9AHaxaaz4/StfHZwNvsK+1DVaqpz7M1ZdnwKcw++zzFLR7omfMKYZnfTKe5zdFJgpvhp1cqDqkrs3Vu1XquqLmBVXqdOnSpRHZWQkMCOHTsuuT8+Pp7s7GwAhg4dCsAbb7xxyWvqdDoiIiLIz8+nVq1aZYopLq58Rf/4eD8NDqiIjAMQ2Yz4WjVLP86SD5GmEpsiL3hcIaYWcAxiPDshfsCVX+8ygvpaX4GKxO3xwLp1MGQIJCR4z7eeOYPJ5G1MCVdOcX3N12kUvo48RxO+O/ECpxytkQ1Qkb+sLEu+awMlfr8SF173ciwk8n3uS+wo3Edy7IdcX2s2HWsuYvuZUewpHIJHO7f2saLIJd7H5X1Pt2oFUVGwb5+BXr3ObTebIT6+8tZYrorv6yuJOWAJRVVVJOlcI6GmaSUeX25/WWiahlyOBSTy8opR1bL1+oiPjyQnJ3jVPTXyd+GJaEnhZWIwaw7UonOz4UVGmigq8sfseDrCw67BdWI9hfGBfR2C/VpXVEXj3r5d5vTpcLp0sZGT4x0r4XR5cNjtJMV+Tbf4D5EklXXZY9medzsqOqDiJXFV1bDbveebTHrf71fq/OuWx3F7E44XTqV22B66xs+hW9xbtI36gs25I9l9ZgAezYDHo/rexxV9T7dsqWPHDoXTpx2cbZq1WiVycipnLaeq+L6+MGZZlsr1RTxg5cHatWuTk5Pje5yTk0NCQsIl9+fm5pbYfzEJCQnk5uYC4Ha7sVgsxMTE+DfwUKA6UGyHcFfCsr+lhhGVhK5gc1BjqI7WrPF+uvXoca7B2Gjdxh2NH6NX7bfIsrVm7sFZbM27849kUj2dtLUi7eh/WHT4NQqcdbmxzhvc0/ReWscsBe3Kk17r1ip2u8ShQ6Laq7IE7JXu3r07GzZsID8/H5vNxsqVK+nZs6dvf7169TAajWzZsgWA9PT0EvsvplevXqSlpQGwdOlSkpOT0Ze9z2WVoVgOIGme4PTwOo8nOgnFkYlszwpqHNXNqlU6kpI8JCRoSK4zRGT8nQa/9SNCl8uy45NJPzqNQlfdYIdZaTKt7Vh05P9IO/IyVk8sfer+H60Od6BV2Nwr6j7cvLmKTqeRkSESSmUJ2Ctdq1YtJkyYwOjRoxk6dCiDBw8mKSmJsWPHsnPnTgCmT5/OtGnTuOWWW7BarYwePbrUa44fP57t27czaNAg5s2bx5QpUwIVflDpivcA4I5oHdQ41CjvoEpd4dagxlGd5OVJbN4s06+fG2PWF8Su74Tp+IecqTmWTw9+yP7CmwiVebEql8RRSzILfn+Dr49OxSNHMSDmQe6N70hjZSFUYDEFgwGaNfOOmtfE+MZKEdDydEpKiq9X1lmzZs3y/d6yZUsWLlx4yfPPjj85KyYmhnfffde/QYYgxZIR1B5eZ6mR16JJOvQFm3EmDApqLGVlkouRPYGpt1aVSOzqlY3p+O47BU2TuL3O/UTtmocrOpniDovJdVyLU93un0CrNInDxV35reE4Tvz8JV0iX+HmsOG0UZJZV/AvTrqSy3W1pFZhLFgcxensYmrX8qDTdJhk5xX/HYWLq74VtFWYrvjsHF6V1xvlohQT7oi26Aq3BDeOcpA9RaiZyy9/YEWuXe8WqOggQc2DIXcla+bXpE5MSzpds57C5u/gqDMCJBkqqaG4KjlwsiEHT75BUvxqkmM+YHj8YPYX9mR99oMUlLFKsHU9I3ADu7aepla3o2hFkcg1Yyr+dxRKJRJKCNIV78EV1T7YYQDgju6I8eSX3sFxkqiLLi/Zeghj9leEHZ+DpziLVVtzua3fEc702AyyIdjhhTwNhX1Fg9iT24MOcV/SqeYCmkSuZ3PuCDbljESl9DbUmCgH9WoVsWt/PH26Ha2kqK9eIqGEGo8F2XYYT50RwY4EAFd0MmHHZ6NY9uMJwrxilU51I3mKkNzFSJoLTZIBCSQdkvUYkk5B04WDbC55nqYiufJRrAdQLAfQF21Dn7sane0QAM7YXizPn02hNYretzUDWUytXh4uLYyNuaPZfWYgN9R6jy7xn9Is8ke+y/oH2bZrSz23TfNcVv7UCItVfNwFmniFQ4yueN8fqzS2CnYoALijvHXWusLN1TKhSI5sdMW70Vn3I9uPI7sLL33w769yNo1oSKAzE4ceSbUhqY4Sh2qyGWdsD2wNH8UZdzOquTFL04wYjRo9e4pkUlEWd01WZE5mX0EfbqrzOnc0GscvOfewMfduLtXHqHWzXFasa8yegzW5ncBO+XK1EwklxCiWDAA8EaV/66osnvDmqLoo9Gc24ag76vInVAWaB13hNgz5a1HsRwDwGBLwhCfi0sej6SK9P5IeUL2lD82NHJ2IU9UjeSxI7mLCDS4cVguaYkaTw9D00XjCmuIOb45qugbkc/9emgYrVui44QYP4eFBet7VyOHirsw92JZetd+ga8In1DHvYUXmUxddmrhB3UIiwx3sPlATREIJKJFQQoyuOANNNuIxh8jCVpKMO7oz+jMbgh3JldM0dEU7MJ76GtmVi8dQC3vCENxR7dH0sZc9Xa57C3apju9xeHwkxWUcCX3ggMzhwzJ/+YtofPcXpxrOqhNPcsLahhtrv8WIJo+w5OiL5DpK9o6UJWjVLI8de+NxuUU7SiCJVtYQoyve4x0hL1X+aneX4qrRHZ0lA8mZF+xQKkxyFRB2fBZhmR+iyTqs9R/E2mQSrrjeZUomV2rFCu/f8+abRXWXf0nsPjOYBYdfB+D2Rn+nrvnPyy60aZ6DzaFn83bRuyuQREIJMUpxRshUd53ljLkeAP2Zn4McScUoxRmE//4yiuU37AlDsTZ+Ak9k20rttfbNN3qSkjzUry9G2AVCjr0FX/7+OhZ3TYZeM4nGEetL7E9sfBqd4mHNuhpBivDqIKq8QojkOoPiyMQWHhoN8me5ozuiyUb0p38K+QGOZwpk9uzvhls1UiveQQPXR9TMfw+noSkn6v4bl6FhhedZjHFEEW48bxoaSz5mzXHpE/5w+IiOrVub8OKzOZi10xc9plCKqVhQgk+xO4GFh2dw6zVPM6jBv1iR+TT7C28EwGjw0Lzhaf63LgZNK7w6JyOoBCKhhBDF4l1Uq7wllGKlLUU2b0tvfpEOh9M/1SpSbhzGCD1hYeCK6oT+zPrLnxQEBQXw4YcGFi7UsX//ufpzWfKQ3ERlwHXNib6mJYpeD1R8FP3gkRphuecNmow0lZjp+VIWf9YRaMLQLt+gZl78/pJxeIXjEs6xe6L56vB0bm34FP3qvYzdE8kxSycAWjfPZeGKmuw/qKd+8yAHWk2JhBJCzs3hVb4SSpEtnOVLvB9U/pyeXIpx03eQ5E0oNbpjPjwDyV2EpguNNR40DT7/XMcLLxjJz5fp1s3N6LtyiDLl4zywiMIzbhZsuofnv3icqHAHQ/rup1PrbMq5SsIVW7yyBZ3anKRh3ao1lXlV5dLCWHJ0KsMaTWBQg+dYfHg6p+wtad08j4UrYNnKCMaKhBIQog0lhCjFGahKBKqpQbBD+RNXjR5Imgf96Z+CHQoANhs8+qiJxx8PIzFRZfVqC+npNib8NZcxbf7OP/tOZkDP3/nL6EOMu2cLMVF2Pk1vw5zFbbHZK6/Dw75DNdi+N4Hb++2vtHsK4FQjSDv6MjZ3DEOumUyM4Tix0XYSm1lZulL02w4UkVBCiK44A09ESyr9K3QZuGK6ettR8tcEOxSKiuCuu8JYvFjHpEkOvvrKRtu23vEihj2TiS5eyoZT97Ip924kCZpec4YJ925mSJ/97PytJq/N6UxOflilxPrZ163Q6TzcMWBvpdxPOMfqjiPt6MsADG4wBb1s5aYbTvPzxjBOX7wpS7hCIqGEEG+X4dBqkPdRwnDFdMcQ5IRiscCdd5rZtEnh3Xft/P3vTs4u2hm+/zn0WV+RW2Msm3LvLnGeLEPvrkf5291bsdp0zPg4mWNZga26c7lkPv+2Jf1vOExCXGDWThdKV+Csz7LjzxBjOE7futO56fozeDwS338vavsDQSSUECE5c7yD7UKsy/D5nLE3oiveg+w4GZT7u93w0ENhbN0q8/77dm677VznA9OxDzAfeR1X/ZHk13jgktdo2qCAx8dsxqDz8PbnHcjMDty4hO/WN+RUXjj3DNkTsHsIl3fc2oH1px6gedRaetWbRc04N6tWiYQSCCKhhAhdkXfRsWAvqlUaV9xNAEGr9nrpJSOrVul4+WUHgwefSyaGnGVE7P0njpr9cbaYfNkqw4Q4G3+7eysGnYe35nbgxKnA1Kl/sLAttWpauLn7kYBcXyi7rXl3cKCwBwmn3+SWnodZvVqHyz99V4TziIQSInwJJbJtkCO5NHdkEqo+FkPe6kq/99KlOt56y8B99zm5995znwRK0S6idt6POzKJwrZzSsyfVZqaNez87e6t6BSVt+Z25GSu+fInlcO+QzVY9VMjHhy+A71e9eu1hYqQWHViIi59PYY0nUZBgcTGjaEzG0V1IRJKiNAV7cBjqo9miAt2KJcmyThr3owhdxWolTeFyOHDEuPGmWjf3sMLL5wbSCi5zhD96yhUJZLCDgtAV77qq/hYb0lFkjTemdeB/AL/LWj29rz2GA1uHhi2y2/XFK6MSzWTlfA8/a5dhFHvZPlyUe3lbyKhhAhd0Q7cEaFbOjnLET8Q2ZWPvmBjpdzPbocHHghDluGDD2wYz37mayqRux5Cth+nsN2nqMbaFbp+QpyNv4zYjsOp8M7nHSi2lL5gU1lk55r5/NtrGTFoLzVriMb4UOIwtcLUajQ3t1nBt187xVrzfiYSSijwWFEs+3FHJQU7kstyxfVBk/QYcpZd0XVsNj25uQZycw0cOYLv9wt/pkwJY+dOhX//243ZfO4cdr2GMXc52fX+w0l3D9/2E7lxuOSEcsVSr1YxY+/YwekCE+/Ob4/dcWVVIa/M6ozbIzF+TNVZOvlq4mr0CEN7buF4VgS/bswPdjjViijzhQBd8R4kVNyRoZ9QNF0Urho3YMhZiqXFixW+jsUisXSp9+thZCQUFf35q+KhQxIff6zQrZsbq9XD0qXe7Y2MK0itMZXdtpEs3/QQcO5cg+bm+u7lL2U0veYM96buZPaXSXywMIlH7tyOTlf+r68Hj0bz0VetGXPbbppeU1Du84VKIOu48d7b0L3pYuWnv9C+8y0hOfarKhIllBCgK/JOtx3KDfLnc8QPRGfdj1K8L3D3cMD8+XpiY7USPbqild8ZFHMvOe62fFfwBv6c5a9N8zxGpmSw/3AsH6e1weMp37U1DZ56rScGncqTD1ZOlaBQMVH1mtAz+ThpP3RAn50W7HCqDZFQQoCuaCeqLhrV1DDYoZSJM+FWNCSM2QsDdo9vv9WRny9x550uX7uJDiu31rgLDYmvT3+BG//2zAK4ru1Jbu+3jx37Evjoqza4y5FU5i25luU/NubZv26gdrzV77EJ/jXg9gQOZDfn8Mo5SC4xdN4fREIJAbrCbd7qripS7FZNdXDF9sKY9SWBaNX87TeZ9et19OjhoUmTs9fX6Bv9GPG6nSw9M4cCT2O/3/esntcdJ/WPpPLe/HZlalPJOBjLk9N70r1DJn8ZsT1gsQn+M2CghiRpLF7fm/D9zwU7nGpBJJRgU53oinbhjuoY7EjKxVF7ODrbIXSF/m14ttthwQI98fEqAwacq+pqb36X1uZ5rC9+lsOO/n6958X0uu44Iwfv4cCRGsz4OLnUwY+HM6MY+uhQzCYX77+40jcVjBDaEhI0unb1sGj7A4RlfoQ+f12wQ6ryRKN8kOmKdiFpTlzR/ksodofC9owE9h6Ko8hiQFZU6tcqJinxFI3qFfqlIORIuJWIvX/HmLUAd3TylV/wD0uW6CgogL/9zYX+j7b1uvr13Bj1BAftg/i5+Em/3etyurTL+mOW4ta89uF1FEo2nhxhJDbaOxbG45H4cnkL/vHyjaDB8tkLuUZMUV+lDB7sZvLkumScvonme//O6a4/gXzlXcevViKhBJmucCuAX0oomgY/ba3F4pWNKbYYiIm0U7OGDZtNzw+bGvD9zw1pWLeA1H6/0ahe4ZXdSx+NI34QpqwvsDT/FyhX3p6xd6/ML7/o6N3bTcOG3qqucPkEKTVGUehpyLIzH1DZherExqd5cuwvLF7Vgndn1WLWhw/S4dpTRIS72HsojqxT4XRqc5JZU1fQTPTqqnIGDXIzeTLM++11XqyRRNix97A1/Fuww6qyREIJMl3hVlR9HKrpmiu6jtsjsWBZS375tS6N65/hwWE7aFSvwFcasTsUNu+qzcqfGjHjo+u4sfNRUnofQKdUvA3E3uAhTNmLMWV9ib3+mCuK32aDL7/UU6uWSr9+3qouBTtDatyJQSpmYf63OLSYK7pHRUWGuxgzdDdTX1JYnX6YDdvrYrHqub5jNrf23sugXofE9CpVVN26Gt26uZm/rBWTB/bDfHAajtrDKjxQ9moX0ISyZMkS3nnnHdxuN2PGjGHUqFEl9mdkZDB58mQsFgvJyck8//zz6HQ6Tpw4wcSJE8nLy6Nx48ZMnz6d8PBwNm7cyGOPPUbt2t4/dqtWrZg2bVogn0LA6Qu34orqeEUN8m43zFnUll374xl04xH6dj+AfMHlTEYPN3TKJLnNSZb8rxlrNl7D4cwoxg7fQUR4xWbJc8V0wx3RBtPxWdjrjb6i55CerqeoCO67z4VOB2cb4esYNpOeP588d/Cn9U9s7uaGxzb4HkdGmigqwxLAQmi7/XY3//ynifXu/3KTmkT4/mcpajMr2GFVSQGrP8jOzmbGjBnMmzePtLQ05s+fz4EDB0ocM3HiRKZMmcKKFSvQNI0FCxYA8PzzzzNy5EiWL19OmzZtePvttwHYtWsX999/P+np6aSnp1f5ZILHglK8F/cVtJ9oGjz7cmN27Y/n9n77uLXPkT8lk/OZjB6G37KPe1N3kpkdycxPksk7Y6rYzSUJW4OH0BftQH96bcWuAfz6K2zerNC7t4f69b0lpo7mN2lj/oz1Rc9wwHFrha8tCJdz660uDAaNBUsaY200DlPWfPSn1wc7rCopYAll/fr1dO3alZiYGMxmM/3792f58uW+/ZmZmdjtdtq3bw9Aamoqy5cvx+VysWnTJvr3719iO8DOnTtZt24dKSkpPPLII2RlZQUq/EqhL9zuHSF/Be0n786OYfE38fS/4Xd6Xne8zOd1uPYUfx21DYtVz8yPkjl+smLrgtjr3IXHWIfwgy9VqAtxYSF8+inUqaPSt6+3qqu5aTE3Rj3JfvutbCh+qkJxCUJZxcRA375uvvpKR2GDf+Ax1Sdi7z8rdQLU6iJgVV6nTp0iPj7e9zghIYEdO3Zccn98fDzZ2dmcPn2aiIgIdN56D992gMjISAYMGEC/fv34/PPPmTBhAl988UWZY4qLK+dstPGBXdGPU9sAiG7aB4zlv9emTfD0vyLo06OAoX2PIf/RO8VkKlsvlWubWXli7HZe/6Qtb3zWicfu2UWzhuc11ht1mM1G4uNLm4U3EpKeRdn0KPHuDVC3bF16rVYwm+H9972j4v/+d5kaNUzUUdYw0HQf2WpX1ro/JzKynI39Dgs6RS3za1AeiiwTGVmyNHfh44rKd8sBiRlAlqUS1/bXfS68rj8FKmajQUd4uJHw8JL/bw88AEuXws49temXPBPWDSO+YB60+OsV3S/gnyEBcCUxByyhqKqKdF6duqZpJR5fav+FxwG+xy+88IJv24gRI3jttdcoKioiMrJsL0BeXjGqWrZv0fHxkeTkBLYLaFTmGpTwRE4XGoDy3ctmg5EjzdRKUPn3Mwf4ea23HcRk0mO3l71NpEaUi8dHb+ateR14/eO2PDj8VxIbe0cNSyY3VquDnBznZZ7IHcSaXkHb/A9Od0kG2XDZ+1qtBhYtUvjtNx333QeRkXZMtl/pFzeEM+4mLMpbiF2TgfK1URg0N26PWq7XoKw8qlqizcSfbSgeY2BiBlBVzXft8r4/ynpdfwtUzA6nG4fdhtvyW4ntvZIlYqKb8PHsYq7/bxtMsd2Rtz+N1dwRyrGkhKpEYle9X1wr4zPE3y6MWZalcn0RD1hCqV27Nps3b/Y9zsnJISEhocT+nJwc3+Pc3FwSEhKIjY2lqKgIj8eDoii+81RV5b333uOhhx5CUc6NXD7/9ypFU9Gf2Yij1pAKnT59uoEDBxS+XpBFTLTnikKJiXLw2N1befvz9rw/vx333b6TNs3zyn4B2UBx4itE/3oX5sMzsDYpfayISS7mp7XhrF4dRdfONrp2sBLh2cnQ2OE4tQi+zpuLqioYKH83XFm6stdCqP4kjxU1s+QgRgMwtHdvFn7TgtfGr4aYXpjzf0b/699x1B1R5mvL9W4BKXDLSoe6gLWhdO/enQ0bNpCfn4/NZmPlypX07NnTt79evXoYjUa2bPGOtE5PT6dnz57o9XqSk5NZ+sfUsmlpafTs2RNZllm1ahUrVqzwbW/Xrh1ms//nc6oMimUfsvsMrpiu5T531y6Zt94yMGqUk969/DNnVFSEk8dGbaVOgoXZC5PYllG+KeCdCQOx1x6G+dCr6ApKHz2/f6+dfz5hpk5CEbff+DPx9i+5LfZWVFUj7fepFOWfRjuzq0I/kibWdRUq5s6Beym2Gvh2TRNUY21csTeiL/gF2SaWcC6rgCWUWrVqMWHCBEaPHs3QoUMZPHgwSUlJjB07lp07vcvdTp8+nWnTpnHLLbdgtVoZPXo0AM899xwLFixg4MCBbN68mccffxyAV155hU8++YRBgwaxaNEipk6dGqjwA05/xtv9tLwJRdPgqaeM1Kih8dxzjsufUA7hZjd/HbmVhnUL+firNqz/Jaxc5xcn/gfVWIfo7Xcg2w5f9JjsbInUEfXRKRpjh++gbdwqUuqMx6lGsPDwDE47r2w8jiBUVLcOJ2hUv4CPFrcBwFGzP5ouEtPJhaCJcUZlEdBxKCkpKaSkpJTYNmvWuf7dLVu2ZOHCP89YW69ePT799NM/bW/evHm5GuFDmf7Mz6iGeNSwJuU6b+FCHb/8omPmTBsxMZy/FIhfhJk8/GXENj5clMQXC+MIi3Tz739DWWoWNUMcBR0WEbPpZmI2D6aw3We4o9r79ufkSAwbFkZOrsQn/91Ea+e/aBnzHSds7fjm6BTsnmj/PhlBKAdZhvtTdzLlvzeQcTCWa5vm40gYQtiJT9EX/IIrpluwQwx5Yhq7YNA09KfX4YrpXq7BgDYbvPSSkQ4dPNx1V+C6NBoNKg/d+Ss9uluZM0fHvfeGUVxctnM9EYkUdEwDzUPMpn6E//YMiuUAx45qpKaGcfQIpL06k6HhvWkR/T2/5NzDt1n/J5KJEBLuGbIHo8HN7IXetYncUZ1whzXBcGoJeMSSBJcjEkoQKNYDKPbjOGNvLNd5s2YZOHFC5rnnHAGf0VaRNYbfVsQzz7j47juFPn3C2bKlbDd1R3fkdNcfcSSkEHbkTTLm/I1Bfa2cPFbE0n/0oW/sP7GauzDv0Pv8kjMGTcwAJISIuBp2hvY9wOffXEuxVQ+ShKP27UgeK8acpcEOL+SJhBIE+vw1ADjjbizzOXl5Eq+/bqB/fzfdu1deT6aRI1UWLbLhcsGgQWaefNJIXt7lS1WaoSZZjWfzj/VZ9Jz6I2FmhVXvf0DHYXdi7bGOrNovk+9oFPgnIAjl9ODwHRRZDHy5rAUAqqk+rho3oD+9DtmeGeToQptIKEFgyP8Bj6lBudpPZs40YLHAM8/4tyG+LLp397BmjYX773fx8cd6OnUK56mnjGzdKl90cPyJE97k161bODPeSmD4cA+r15lo1O9hHPXuBmPNSn8OglBWnZNO0rZFDrMWJPne3474AWiKGePJRQFZVK66EHUNlU3zoM9fiyMhpcztJ4cPS3z4oZ6RI10kJgant0lUFPz73w7GjHHxxhsGPvlEz+zZBmJiNK691kNMjIbNJnH4sMzhw97vKT16uPnwQxvXXSd6yAhVhyTBA8N28vi/e7NxR226tDsJSjjO+BRMJ79AV7jFr2sAVSeihFLJdIXbveNPYnuV+Zxp04zodPDEE5cZsV4JEhNV3nzTzu7dxfz3vzZSUlyoKhw+LFNYKNG6tYfnn7ezYUMxixaJZCJUTXcM3Ed0hIO353XwbXPFdMFjaoDxVDp4xCzTFyNKKJXMkLscDQlnXO8yHb9tm8xXX+n5+98d1K4dOkXtmBi46y53QHubCUKwRJhdPDB8JzM+6sSBo9HexdMk2Tt49/BMjDlLcdRODXaYIUeUUCqZIWcZ7pguaIbLtyNoGrzwgpGaNVX++tfgl04E4WrylxHbMeg9vPHJudnA1bBGuGpcj/70WjGC/iJEQqlEsu0Y+qIdOOIHlen4VasUfvpJxz/+4aSM818KguAntWpaGZWSwdwlrUos7+CIT0HTRWHK+hw0MXfc+USVVyUy5C4DwBk/8LLHut3w/PNGmjRRGT06mPNTyeTmXn724PLQaXG45PLPsCwIle3v923m0/RWTJ99HTMn/8+7UTHhqD2csOMfYMj7HmfNm4MbZAgRCaUSGU99i9vcDE9488se+9lnevbvV/joIxv6wCw5USZWq8SaNf5tuzFobq7vHsQnJQhldE3dIsbctpuPvmrN+DFbaFzfu16QO7Itrsh2GHKX44psh2Ys32Sq1ZVIKJVEcmSjz/8BW6MJlz22qAhefdVA165uBgwQjd6hwoOZLOe5yTzzi3Q4nP75+3iU8k3EKVSeiQ9u4rOvWzH1na7Mfmmlb7uj1u3oLL8RduIzrI3Gg1RFl9LwI5FQKonp5EIkVOx17rrssW++aSA3V+azz2zlmerL72RZRdacGDT/Vk1V1TVLLFaZtUvOvRb+XPip51DxYVQZVH0Cx3ONuJ3lmOU7Gu4dkc27H7Vk+O0e2rWx+HZFxCvUzZ6MIzsDV70RRAUg5qpEJJRKYsyajyuyA56IxFKPO3pU4t13DaSmuujYMbhjOCTVieY8jXZmr3+vG9MM8dYTgsFq1/P9907cZ8r3JalJ/H6iwmvyxHP1GT9mM7Lvi14X+tXtSwttNsfNXaF2Pb/HXJWIXl6VQCnei75oO446d5R6nHetExOSFJwpVgRBuDijwUNK7wMczozm5211S+xbc/JvFLtqUvvUc+C2XOIKVweRUCqB6fhsNEmPvfbwUo/75hsdq1bpePJJB/Xrh84gRkEQ4Lq2J2nW8DRff9+MgqJzPR+dagQrT0xC78rEuPe5q3quL5FQAkxyFWA6MRdH7dRSe4IUFcHkyUbatPEwdqxYxlYQQo0kwZ0DM3C5ZeYvbVkib5ywJpEX+zC6k0sIO/pW8IIMMpFQAsyUNRfZU4ytwSOlHjdtmpHsbInp0+3oRPOCIISkhFgbKb0PsvtAPD9tLdlekh9zL+5476Jy+rw1wQkwyERCCSTVSdjRd3FFd8Yd3emSh/38s8KHH+q5//7gN8QLglC6ntcdo2WTPNK+a86xrPOmsJAkHK2n4QlvQdTOe6H496DFGCwioQSQKfMTFNthrI0nXvKYggJ49FET11yjMXmyaIgXhFAnS3D3rbsJD3Mxe2Fbii3nDdLVRVDQ/nPQVPhffyRHdvACDQKRUALFY8F86BVcMd1w1ux30UM0DSZMMJGVJfHOOzYiIi56mCAIISYy3MUDw7wrO876sh0O57mPUtXclIIOX4LtBDFbhyA584IYaeUSCSVAzL//H4ozm+Jm/7rkQlqvv27gm2/0PPOMg06dRFWXIFQl19QtYvTQ3Rw5EcWcRW1xOM79n7tjukDPr1GsB4nemorkKghipJVHJJQAUIp2YD48A3udEbhrdLvoMenpOqZN8w5gfPRR0atLEKqidi1zuHNgBhmHavKXiS2wWM778li7N4VJn6Ir3kn0lluRHKeCF2glEQnF3zxWonb9BU0fS3HitIse8v33Co8+aqJzZw8zZtiDOr2KIAhXplv7LEYO3sOGzVEMSG3AyZPn/qGd8bdQ2G4eOsteamzqi1KcEcRIA08kFH/SNCJ3P4pSvIuiVm+h6WP/dMjSpTpGjw6jRQuVzz6zESbmBBSEKq9LuyzefHk/+34zcPPNZtauPTc3mzP+Fs4kfwMeGzU29saY9WUQIw0skVD8RdMI/+0pTNmLsTR/Hmd8/wt38/bbeu6/30TbtiqLF1uJjg5SrIIg+F2fnmdY/e1RoqI0hg8PY/x474BlAHf0dZzpshZ3ZFuidj1A5I77kJw5wQ04AERC8QfVQcSev2E++jbWBg9jazi+xO7sbIkxY0z8618mBg508+WXVmrUCFKsgiAETJtWTlatsnLffS7eeAO6dQvnnXf0WCygmupwptNSLE2fwXgqndifOhF25E3wVJ/5v0RCuUJK0U5iNvYh7MSnWBpPxJL4qq9Xl80Gb7xh4Prrw1mzRscLL9iZPdsuugcLQjVmNsPLLzv4+WdITFR57jkTycnhvPaagaPH9VibPMHprhtwR3Ug4renifuxNeZDr1SL7sUBTShLlixh4MCB9OvXj7lz5/5pf0ZGBqmpqfTv35/JkyfjdnsXKzpx4gSjRo3illtu4S9/+QsWizeDFxYW8tBDDzFgwABGjRpFTk7wioy6wm1E7nqIGj/fgGLPpKD9fKzNnkVDIiND5sUXDXToEM6LLxq57joP//ufhUcecYkGeEG4SnTuDIsW2fjmGwsdOqi88oqR5OQIBgww8+anbfhRv4TcjqtwRXcm/OBLxK1tQdTW2zGemFtlk0vAZo3Kzs5mxowZLF68GIPBwF133UWXLl1o1qyZ75iJEycydepU2rdvz9NPP82CBQsYOXIkzz//PCNHjmTQoEG89dZbvP3220ycOJGZM2eSnJzM+++/T1paGi+99BIzZ84M1FM4R3WhWPejK9qJrnA7hrxV6Cy/oUpmfo94mn38jZ3fxPDLLwqbNikcOyYjyxq33OLmkUfsdO1aNReUEgThynXurDJvno3DhyW+/lrPV1/peO45EwAREX3o2PFGrm2SQ+uaa7k24isahM+gVvQkwmvG44m5DndUOzxhTfCYm+IxNQDFFORndGkBSyjr16+na9euxMTEANC/f3+WL1/O3/72NwAyMzOx2+20b98egNTUVP773/8yfPhwNm3axFtvveXbfvfddzNx4kTWrFnjK+kMHjyYF154AZfLhb6Mi67LcvmKB7IsgWojZstAFFcOK3f047Of7uG0YwJn7PHk5Edgd5wr5MXHq/Tr5yE52UXv3m7i4s5ORxq4Yomk6dAZDETGeN9kRqMOvck/q//pohQMRsV3bX+58LpVIWYAg0EqcV1/xn3htf3p/Gtf9TEbFSKjNNz4P26dwYAk65DPq4Y4/zOnSRN4/HEXjz/uIjtbYts2hW3bZHbvVvjh59ost90J3Ok73qh3Eh+VQ5SpAJPBRpjeSphhO2EGJ0aTil4vIyl6ZJ2MjISsgKzIyLKEJEsoCvTt8hutm2bjrNkPd0SrMj2P82Mu72dmwBLKqVOniI+P9z1OSEhgx44dl9wfHx9PdnY2p0+fJiIiAt0fU+6e3X7hOTqdjoiICPLz86lVq1aZYqpRI7xczyEuLgKIgIGbAOg3BC4+icpZMudqEY3lulfFRdCkJjTpELg7tOlUu0pdN5DXbpV0fUCuW1WvXRVjbtMJoH5Arg1gPu9372fIn8XFQatWMGpUaVcyAPX++KmoXgCUZ3TCpWIui4C1oaiqinReptY0rcTjS+2/8DjgT4/PP0eWRb8CQRCEUBCwT+PatWuXaDTPyckhISHhkvtzc3NJSEggNjaWoqIiPB7Pn85LSEggNzcXALfbjcVi8VWpCYIgCMEVsITSvXt3NmzYQH5+PjabjZUrV9KzZ0/f/nr16mE0GtmyZQsA6enp9OzZE71eT3JyMkuXLgUgLS3Nd16vXr1IS0sDYOnSpSQnJ5e5/UQQBEEILEnTArcA8pIlS3jvvfdwuVwMGzaMsWPHMnbsWMaNG0fbtm3Zu3cvzzzzDMXFxbRu3Zpp06ZhMBjIzMxk0qRJ5OXlUadOHf7v//6P6Ohozpw5w6RJkzh27BiRkZFMnz6d+vUDVxcqCIIglF1AE4ogCIJw9RAt2oIgCIJfiIQiCIIg+IVIKIIgCIJfiIQiCIIg+IVIKBdxuUktQ8Wbb77JoEGDGDRoEK+++irgnfImJSWFfv36MWPGjCBHeGmvvPIKkyZNAqpGzN9//z2pqakMGDCAqVOnAqEfd3p6uu/98corrwChG3NxcTGDBw/m+PHjwKXjvNSEssFyYdzz589n8ODBpKSk8NRTT+F0OoHQivvCmM/67LPPuOeee3yPKxSzJpRw8uRJ7aabbtJOnz6tWSwWLSUlRdu/f3+ww/qTn376Sbvzzjs1h8OhOZ1ObfTo0dqSJUu0Xr16aUePHtVcLpd2//33a2vWrAl2qH+yfv16rUuXLtqTTz6p2Wy2kI/56NGj2g033KBlZWVpTqdTGzFihLZmzZqQjttqtWrXXXedlpeXp7lcLm3YsGHa6tWrQzLm7du3a4MHD9Zat26tHTt2rNT3xKBBg7Rt27ZpmqZpTz31lDZ37tyQifvQoUPazTffrBUVFWmqqmpPPPGENmfOnJCK+8KYz9q/f7/Wo0cP7e677/Ztq0jMooRygfMntTSbzb5JLUNNfHw8kyZNwmAwoNfradq0KYcPH6Zhw4Y0aNAAnU5HSkpKyMV+5swZZsyYwSOPPALAjh07Qj7mVatWMXDgQGrXro1er2fGjBmEhYWFdNwejwdVVbHZbLjdbtxuNxERESEZ84IFC3juued8M2Jc6j1xsQllgxn/hXEbDAaee+45IiIikCSJFi1acOLEiZCK+8KYAZxOJ1OmTGHcuHG+bRWNOWCTQ1ZVl5vUMlQ0b97c9/vhw4dZtmwZd999959iPzuxZqiYMmUKEyZMICsrC7j46x1qMR85cgS9Xs8jjzxCVlYWN954I82bNw/puCMiIhg/fjwDBgwgLCyM6667LmRf65deeqnE40vFeakJZYPlwrjr1atHvXreiRzz8/OZO3cu06ZNC6m4L4wZ4LXXXuP2228vMUi8ojGLEsoFLjepZajZv38/999/P0888QQNGjQI6di//PJL6tSpQ7du3XzbqsLr7fF42LBhA//+97+ZP38+O3bs4NixYyEd9969e1m0aBH/+9//+PHHH5FlmcOHD4d0zGdd6j1RFd4r4F0LasyYMdx+++106dIlpOP+6aefyMrK4vbbby+xvaIxixLKBWrXrs3mzZt9jy+c1DKUbNmyhXHjxvH0008zaNAgNm7cWOqEnMG2dOlScnJyGDJkCAUFBVitVjIzM1GUc2tdhFrMADVr1qRbt27ExsYC0LdvX5YvXx7Sca9bt45u3boRFxcHeKssZs+eHdIxn3WpiWUvNaFsKDl48CAPPvgg99xzD/fffz9w6YlwQ8E333zD/v37GTJkCFarldzcXB5//HEmTpxYoZhFCeUCl5vUMlRkZWXx17/+lenTpzNo0CAA2rVrx++//86RI0fweDx88803IRX7nDlz+Oabb0hPT2fcuHH07t2bDz74IKRjBrjppptYt24dhYWFeDwefvzxR2655ZaQjrtly5asX78eq9WKpml8//33If/+OOtScV5qQtlQUVxczAMPPMD48eN9yQQuPRFuKJg2bRrLli0jPT2dqVOn0qZNG2bOnFnhmEUJ5QK1atViwoQJjB492jepZVJSUrDD+pPZs2fjcDh4+eWXfdvuuusuXn75ZR577DEcDge9evXilltuCWKUl2c0GkM+5nbt2vHggw8ycuRIXC4X119/PSNGjKBJkyYhG/cNN9zAnj17SE1NRa/X07ZtWx577DGuv/76kI35rNLeE9OnTy8xoezo0aODHO05CxcuJDc3lzlz5jBnzhwAevfuzfjx40M67kupSMxickhBEATBL0SVlyAIguAXIqEIgiAIfiESiiAIguAXIqEIgiAIfiESiiAIguAXIqEI1dbx48dJTEzk7rvv/tO+SZMmkZiYSH5+foWu/eabb/Ldd9/5rjV79uyLHleWezgcDmbOnMnQoUMZMmQIKSkpvP/++5ztgHnPPfeExJxbgnA5YhyKUK0ZjUZ+//13MjMzffMsWa1Wtm7dekXX/eWXX2jWrNkVx6dpGo8++iiNGzdm/vz5GI1GTp8+zcMPP4zVauXxxx+/4nsIQmURCUWo1hRFYcCAASxZssQ3w/HKlSvp06cPH374IeBdw+LTTz9FlmVq1qzJs88+S+PGjZk0aRIRERHs27ePkydPkpiYyCuvvEJaWhq7du3i1Vdf9U1lsm3bNu666y5yc3Np3rw5r732Gmaz2RfHfffdx4ABA7jjjjsAePvttzlz5gx9+/bl0KFDvP/++75r1ahRg1dffZXMzEzf+atXr2b27Nnk5ubSrVs3pk6diizLvPvuu6xevRq73Y7NZuPJJ5/k5ptv5o033mD79u2cOnWKxMREXnzxRZ577jl+/fVXIiMjfcnw5ZdfJjs7mxdeeIGsrCxcLheDBg3ikUcewe128+KLL7J161b0ej3169dn2rRphIeHB/4PJ1RJospLqPaGDh1Kenq673FaWhq33XYbAD///DMffPABn3zyCV9//TWDBw/mr3/9q6+6adeuXcyePZulS5eSmZnJ8uXLGTVqFG3atOGJJ57g5ptvBrwTAs6ZM4cVK1aQnZ3NypUrS8QwatQoFixYAHgn3lu4cCF33XUXu3btIikpqcQcWwCNGjXi+uuv9z22WCx88cUXLF26lLVr17J161YyMzNZv349n376KUuWLGHChAn897//9Z2TmZnJV199xfTp03n77bfxeDwsW7aMjz76iD179viOmzhxIrfffjuLFy9m4cKFrF+/nqVLl7J9+3Y2btzI119/zeLFi2nQoAH79u3zx59EqKZECUWo9tq0aYOiKOzatYu4uDgsFgstWrQA4Mcff2TgwIG+iR9TU1N56aWXfKvZ9ejRA4PBAECLFi0oKCi46D369u1LWFgY4F1a4MJ2k5tuuomXXnqJvXv3kp2dTf369WnSpAlr166lLJNVDBw4EEVRCAsLo1GjRuTl5ZGcnMyrr77KkiVLOHLkCL/++isWi8V3Tvv27dHpvP/iP/zwA0899RSyLBMREcFtt93Gvn37sFqtbNq0iYKCAl5//XXAWyW4d+9ebrjhBhRFYfjw4dxwww30798/JKchEkKHSCjCVeHWW2/l66+/JjY2liFDhvi2X2xKbk3TfMudmkymEsde6sP/7Af3pY5TFIU777yThQsXcurUKe666y7AO0/Yxx9/jMfjKVFK2bFjB59++in/+c9/Lnn93bt38+ijj3Lvvfdy/fXXc9111/H888/7jju/yk2n05WISZa9lROqqqJpGl988YUvIebn52M0GgkPDyc9PZ2tW7fy888/8/jjj/PAAw8watSoi74GgiCqvISrwpAhQ1i+fDlLly5l8ODBvu09evRg6dKlvhLFokWLiImJoWHDhqVeT1GUcq8LPnz4cL777jt2797tqyrr0KEDTZo0Ydq0aTgcDsA7VfjUqVNLLHh0MZs2baJNmzbcd999dO7cmdWrV+PxeC56bK9evVi0aJFvFcdvvvkGSZKIiIigffv2vskMCwsLGTFiBKtXr+Z///sf9957Lx06dOCxxx5j6NCh7Nq1q1zPWbi6iBKKcFWoVasWTZs2JTIykpiYGN/2Ll26cO+99zJmzBhUVSU2Npb33nvP9w3+Unr37s3//d//4XK5yhxDXFwcbdq0oWnTpuj1et/2//73v8yYMYPU1FQURUFVVYYOHcoDDzxQ6vUGDx7MypUrGTBgAKqqctNNN1FQUEBxcfGfjn344Yd54YUXSElJITIykri4OF/pa/r06bz44oukpKTgdDoZPHgwt956Kx6Ph7Vr1zJ48GDMZjPR0dG8+OKLZX6+wtVHzDYsCJUkPz+fYcOGMXfuXOrUqVOp9/7222+JiIigV69eqKrqm8p+5MiRlRqHUL2JKi9BqAQLFixg4MCBPPDAA5WeTMDbUeCdd95hyJAhDB48mISEBIYPH17pcQjVmyihCIIgCH4hSiiCIAiCX4iEIgiCIPiFSCiCIAiCX4iEIgiCIPiFSCiCIAiCX4iEIgiCIPjF/wNNfLXv+YcxVgAAAABJRU5ErkJggg==",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.distplot(data_no_mv[data_no_mv.Churn == 'No'][\"MonthlyCharges\"],\n",
+    "             bins=10,\n",
+    "             color='orange',\n",
+    "             label='Non-Churn',\n",
+    "             kde=True)\n",
+    "sns.distplot(data_no_mv[data_no_mv.Churn == 'Yes'][\"MonthlyCharges\"],\n",
+    "             bins=10,\n",
+    "             color='blue',\n",
+    "             label='Churn',\n",
+    "             kde=True)"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "- Kunden mit niedrigen monatlichen Gebühren sind eher abwanderungsbereit.\n",
+    "- Der Abwanderungstrend zwischen Kunden, die abwandern, und Kunden, die nicht abwandern, gleicht sich an, wenn die monatlichen Gebühren steigen.\n"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Gesamtkosten"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 152,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<AxesSubplot:xlabel='TotalCharges', ylabel='Density'>"
+      ]
+     },
+     "execution_count": 152,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.distplot(numeric_data[\"TotalCharges\"])"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "- Die Kurve flacht nach hinten hin extrem stark ab.\n",
+    "- Es sind Ähnlichkeiten mit der Exponentialverteilung zu erkennen. -> Test der logarithmischen Transformation zur Erreichung einer Normalverteilung.\n",
+    "- Es ist fraglich, ob es Ausreißer im hinteren Teil gibt. -> Boxplot\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 153,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Boxplot für TotalCharges erstellen, um sicherzustellen, dass keine Ausreißer vorhanden sind.\n",
+    "plt.boxplot(numeric_data[\"TotalCharges\"])\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "- Boxplot zeigt keine Ausreißer.\n",
+    "- Dies bedeutet, dass auch bei den Gesamtkosten keine Ausreißer festgestellt werden können.\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 154,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<AxesSubplot:xlabel='TotalCharges', ylabel='Density'>"
+      ]
+     },
+     "execution_count": 154,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# logarithmic transformation\n",
+    "log_charges = np.log(data_no_mv[\"TotalCharges\"])\n",
+    "sns.distplot(log_charges)"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "- Auch die Transformation mit Hilfe des Logarithmus führt nicht zu einer Normalverteilung.\n",
+    "- Vor weiteren Transformationen sollte zunächst die Korrelation mit anderen Variablen untersucht werden.\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 155,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<AxesSubplot:xlabel='TotalCharges', ylabel='Density'>"
+      ]
+     },
+     "execution_count": 155,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.distplot(data_no_mv[data_no_mv.Churn == 'No'][\"TotalCharges\"],\n",
+    "             bins=10,\n",
+    "             color='orange',\n",
+    "             label='Non-Churn',\n",
+    "             kde=True)\n",
+    "sns.distplot(data_no_mv[data_no_mv.Churn == 'Yes'][\"TotalCharges\"],\n",
+    "             bins=10,\n",
+    "             color='blue',\n",
+    "             label='Churn',\n",
+    "             kde=True)"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "\n",
+    "Die Verteilung ist über die gesamte Bandbreite der Kosten sowohl bei den abwandernden als auch bei den nicht abwandernden Kunden nahezu identisch.\n"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Korrelationsanalyse"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 156,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<AxesSubplot:>"
+      ]
+     },
+     "execution_count": 156,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 432x288 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# correlation between continous features\n",
+    "feature_corr = numeric_data.drop(\"SeniorCitizen\", axis=1).corr()\n",
+    "sns.heatmap(feature_corr, annot=True, cmap='coolwarm')"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Die Korrelationsmatrix zeigt, dass die Attribute \"Tenure\" und \"TotalCharges\" eine kritische positive Korrelation von über 0,8 aufweisen. Diese Beziehung wird später im Zusammenhang mit der Multikollinearität erneut untersucht und muss entfernt werden."
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Streudiagramme mit kontinuierlichen Merkmalen und Ziel"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 157,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<AxesSubplot:xlabel='tenure', ylabel='MonthlyCharges'>"
+      ]
+     },
+     "execution_count": 157,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.scatterplot(data=data_no_mv, x=\"tenure\", y=\"MonthlyCharges\", hue=\"Churn\")"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Das Streudiagramm deutet darauf hin, dass Kunden im oberen linken Bereich, d. h. Kunden mit hohen monatlichen Kosten und kurzer Betriebszugehörigkeit, am ehesten abwandern."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 158,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<AxesSubplot:xlabel='tenure', ylabel='TotalCharges'>"
+      ]
+     },
+     "execution_count": 158,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.scatterplot(data=data_no_mv, x=\"tenure\", y=\"TotalCharges\", hue=\"Churn\")"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Es besteht eine rein logische, lineare Beziehung zwischen der Dauer der Betriebszugehörigkeit und den in Rechnung gestellten Gesamtkosten. Je länger eine Person Kunde ist, desto mehr monatliche Beträge musste sie bereits zahlen."
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 2.4.2. Kategorische Merkmale"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Abwanderung (Ziel)"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Zunächst wird die Verteilung der Zielvariablen Churn untersucht."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 159,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Text(0.5, 1.0, 'Abwanderung im Vergleich zur Nicht-Abwanderung')"
+      ]
+     },
+     "execution_count": 159,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# produce pie chart for churn\n",
+    "# generate procentage relationship\n",
+    "churn_rate = data_no_mv.Churn.value_counts() / len(data_no_mv.Churn)\n",
+    "\n",
+    "# Plot\n",
+    "labels = 'Keine Abwanderung', 'Abwanderung'\n",
+    "fig, ax = plt.subplots()\n",
+    "ax.pie(churn_rate, labels=labels, autopct='%.f%%')  \n",
+    "ax.set_title('Abwanderung im Vergleich zur Nicht-Abwanderung')"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "- Die Abwanderungen machen etwa 27 % des gesamten Datensatzes aus, während die Nicht-Abwanderungen etwa 73 % ausmachen.\n",
+    "- Dies ist ein unausgewogener Datensatz und eine andere Metrik muss in der Bewertungsphase verwendet werden.\n"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Geschlecht"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 160,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.countplot(x=\"gender\", hue=\"Churn\", data=data_no_mv)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Die Abwanderungsrate zwischen Männern und Frauen ist ungefähr gleich hoch."
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Senioren"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 161,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.countplot(x=\"SeniorCitizen\", hue=\"Churn\", data=data_no_mv)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Bei Kunden, die als Senioren eingestuft werden, ist die Wahrscheinlichkeit höher, dass sie abwandern."
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Partner"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 162,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.countplot(x=\"Partner\", hue=\"Churn\", data=data_no_mv)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Kunden, die keinen Partner haben, sind eher bereit, abzuwandern."
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Angehörige"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 163,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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Pe7qbDMPAarUSGhqKw+HwbFdWVobdbqd9+/ZUVFTgcrnw9/fH4XBgtzfuBulNcRMm+Z5uwiRydWvoJkxeG9M4duwYzz77LBkZGcTGxgLfhMSCBQs4efIkdXV1vP/++wwZMoSwsDACAwMpLCwEIDc3l8jISAICAujXrx95eXkA5OTkEBkZ6a2SRUSkAV4701i1ahU1NTUsWrTI0zZmzBieeuopHn74YZxOJ1FRUQwbNgyAjIwM0tLSqKyspFevXowbNw6A9PR0kpOTWblyJZ06dSIzM9NbJYuISAN0j/AG6B7h39M9wkWufj7rnhIRkauPQkNERExTaIiIiGkKDRERMU2hISIipik0RETENIWGiIiYptAQERHTFBoiImKaQkNERExTaIiIiGkKDRERMU2hISIipik0RETENIWGiIiYptAQERHTFBoiImKaQkNERExTaIiIiGkKDRERMU2hISIipik0RETENK+Gxm9+8xtiY2OJjY1lyZIlABQUFBAXF0dUVBRLly71rHvgwAHi4+OJjo4mNTUVp9MJQHFxMYmJicTExDBp0iSqqqq8WbKIiFyC10KjoKCAHTt2sGHDBnJycvjss8/YuHEjKSkpZGdnk5eXx/79+9m+fTsASUlJzJo1i82bN2MYBmvXrgVg9uzZJCQkkJ+fT+/evcnOzvZWySIi0gCvhYbNZiM5OZk2bdoQEBBAt27dOHz4MF26dKFz585YrVbi4uLIz8+nqKiI6upqwsPDAYiPjyc/P5+6ujr27NlDdHR0vXYREfENq7d23L17d8/3hw8fZtOmTYwdOxabzeZpt9vtlJSUUFpaWq/dZrNRUlJCeXk5ISEhWK3Weu2N0aFDyA98JnI2m62dr0sQER8yFRolJSV07NixXts//vEPbr311ga3/fvf/87EiROZPn06/v7+HD582POYYRhYLBbcbjcWi+W89u++nu3c5YYcP16J2200apuz6Z9kfQ5Hha9LEBEv8vOzXPLN9iW7p77++mu+/vprnnzySU6ePOlZLisrY/LkyQ0evLCwkPHjxzNt2jRGjhxJaGgoDofD87jD4cBut5/XXlZWht1up3379lRUVOByueqtLyIivnHJM41p06axc+dOAPr37//9RlarZ5zhYo4dO8azzz7L0qVLiYiIAOCOO+7g0KFDHDlyhJtvvpmNGzcyatQowsLCCAwMpLCwkL59+5Kbm0tkZCQBAQH069ePvLw84uLiyMnJITIy8oc+ZxERuUwWwzAa7LuZMWMGCxcubNSO582bx/r16/nRj37kaRszZgw//vGPWbhwITU1NQwePJgZM2ZgsVj4/PPPSUtLo7Kykl69erFw4ULatGlDUVERycnJHD9+nE6dOpGZmcl1111nuo6m6J5KmL7msre/mryzJFHdUyJXuYa6p0yFBkBRUREnT57k7NV79er1wyv0MoVG01FoiFz9GgoNUwPhWVlZrFq1ig4dOnjaLBYLW7du/eEViojIFcNUaOTk5PCnP/3pvE9QiYhI62Jqcl+nTp0UGCIiYu5MIyIigiVLlnD//fcTFBTkab8SxjRERKTpmAqNDz/8EKDeJTw0piEi0vqYCo1t27Z5uw4REbkCmAqNN99884Ltjz32WJMWIyIiLZup0Pjyyy8939fW1rJnzx7PLG8REWk9TIXGubPBS0pKSE1N9UpBImJOu2uDCAoM8HUZLUJ1TR0Vp6p9XUarcFmXRu/YsSNFRUVNXYuINEJQYICuVvCtd5YkUoFCozk0ekzDMAz2799fb3a4iIi0Do0e04BvJvtNnz7dKwWJiEjL1agxjaKiIpxOJ126dPFqUSIi0jKZCo0jR47wzDPPUFpaitvt5oYbbuC1116jW7du3q5PRERaEFPXnpozZw4TJkxgz549FBYWMmnSJGbPnu3t2kREpIUxFRrHjx9n5MiRnuVRo0ZRXl7utaJERKRlMhUaLpeLr7/+2rN84sQJb9UjIiItmKkxjbFjx/LQQw/xy1/+EovFQl5eHo8++qi3axMRkRbG1JnG4MGDAairq+PgwYOUlJQwZMgQrxYmIiItj6kzjeTkZBITExk3bhw1NTW8++67pKSk8Lvf/c7b9YmISAti6kyjvLyccePGARAYGMj48eNxOBxeLUxERFoe0wPhJSUlnuWysjIMw2hwu8rKSoYNG8bRo0cBmDFjBlFRUYwYMYIRI0awZcsWAA4cOEB8fDzR0dGkpqbidDoBKC4uJjExkZiYGCZNmkRVVVWjn6CIiDQdU91T48eP54EHHuDuu+/GYrFQUFDQ4GVE9u7dS1paGocPH/a07d+/n7fffhu73V5v3aSkJObNm0d4eDgpKSmsXbuWhIQEZs+eTUJCArGxsaxYsYLs7GySkpIa/yylSbidddhs7XxdRovgrK2h/GStr8sQaXamQmP06NH07t2bXbt24e/vzxNPPEGPHj0uuc3atWtJT0/3hMuZM2coLi4mJSXFM5A+efJkjh07RnV1NeHh4QDEx8eTlZXFgw8+yJ49e1ixYoWnfezYsQoNH/KzBlC4ZIKvy2gR+k5/HVBoSOtj+tLoPXv2pGfPnqZ3PH/+/HrLZWVlDBgwgPT0dNq1a8fEiRNZt24d3bt3x2azedaz2WyUlJRQXl5OSEgIVqu1XruIiPjOZd1P43J07tzZc9YA8Mgjj5CTk0O3bt2wWCyedsMwsFgsnq9nO3fZjA4dQi6/aJFLUFddy6LfR/NottD44osvOHz4MNHR0cA34WC1WgkNDa33SayysjLsdjvt27enoqICl8uFv78/DofjvLEQM44fr8TtbnjQ/mL0QpSLcTgqfHp8vTbr8/Xv42rh52e55JttU5+eagqGYbBgwQJOnjxJXV0d77//PkOGDCEsLIzAwEAKCwsByM3NJTIykoCAAPr160deXh4AOTk5REZGNle5IiJyAc12ptGzZ0+eeuopHn74YZxOJ1FRUQwbNgyAjIwM0tLSqKyspFevXp45Ienp6SQnJ7Ny5Uo6depEZmZmc5UrIiIX4PXQ2LZtm+f7xMREEhMTz1unZ8+erFu37rz2sLAwVq9e7dX6RETEvGbrnhIRkSufQkNERExTaIiIiGkKDRERMU2hISIipik0RETENIWGiIiYptAQERHTFBoiImKaQkNERExTaIiIiGkKDRERMU2hISIipik0RETENIWGiIiYptAQERHTFBoiImKaQkNERExTaIiIiGkKDRERMU2hISIipik0RETENK+GRmVlJcOGDePo0aMAFBQUEBcXR1RUFEuXLvWsd+DAAeLj44mOjiY1NRWn0wlAcXExiYmJxMTEMGnSJKqqqrxZroiINMBrobF3714efvhhDh8+DEB1dTUpKSlkZ2eTl5fH/v372b59OwBJSUnMmjWLzZs3YxgGa9euBWD27NkkJCSQn59P7969yc7O9la5IiJigtdCY+3ataSnp2O32wHYt28fXbp0oXPnzlitVuLi4sjPz6eoqIjq6mrCw8MBiI+PJz8/n7q6Ovbs2UN0dHS9dhER8R2rt3Y8f/78esulpaXYbDbPst1up6Sk5Lx2m81GSUkJ5eXlhISEYLVa67U3VocOIZf5DEQuzWZr5+sS5Cz6fTQPr4XGudxuNxaLxbNsGAYWi+Wi7d99Pdu5y2YcP16J221cdt16IcrFOBwVPj2+Xpv1+fr3cbXw87Nc8s12s316KjQ0FIfD4Vl2OBzY7fbz2svKyrDb7bRv356KigpcLle99UVExHeaLTTuuOMODh06xJEjR3C5XGzcuJHIyEjCwsIIDAyksLAQgNzcXCIjIwkICKBfv37k5eUBkJOTQ2RkZHOVKyIiF9Bs3VOBgYEsWrSIKVOmUFNTw+DBg4mJiQEgIyODtLQ0Kisr6dWrF+PGjQMgPT2d5ORkVq5cSadOncjMzGyuckVE5AK8Hhrbtm3zfB8REcFHH3103jo9e/Zk3bp157WHhYWxevVqr9YnIiLmaUa4iIiYptAQERHTFBoiImKaQkNERExTaIiIiGkKDRERMU2hISIipik0RETENIWGiIiYptAQERHTFBoiImKaQkNERExTaIiIiGkKDRERMU2hISIipik0RETENIWGiIiYptAQERHTFBoiImKaQkNERExTaIiIiGlWXxz0kUce4cSJE1it3xx+zpw5VFVVsXDhQmpqavjlL3/JCy+8AMCBAwdITU2lqqqKfv36MXv2bM92IiLSvJr9v69hGBw+fJj/+q//8vzzr66uJiYmhtWrV9OpUycmTpzI9u3bGTx4MElJScybN4/w8HBSUlJYu3YtCQkJzV22iIjgg+6pf/7znwA8/vjjDB8+nLfffpt9+/bRpUsXOnfujNVqJS4ujvz8fIqKiqiuriY8PByA+Ph48vPzm7tkERH5VrOHxqlTp4iIiGDFihW89dZbvPfeexQXF2Oz2Tzr2O12SkpKKC0trddus9koKSlp7pJFRORbzd491adPH/r06eNZHj16NFlZWfTt29fTZhgGFosFt9uNxWI5r70xOnQI+eFFi1yAzdbO1yXIWfT7aB7NHhqffvopdXV1REREAN8EQVhYGA6Hw7OOw+HAbrcTGhpar72srAy73d6o4x0/XonbbVx2vXohysU4HBU+Pb5em/X5+vdxtfDzs1zyzXazd09VVFSwZMkSampqqKysZMOGDbz44oscOnSII0eO4HK52LhxI5GRkYSFhREYGEhhYSEAubm5REZGNnfJIiLyrWY/07j33nvZu3cvDzzwAG63m4SEBPr06cOiRYuYMmUKNTU1DB48mJiYGAAyMjJIS0ujsrKSXr16MW7cuOYuWUREvuWTCQ/PP/88zz//fL22iIgIPvroo/PW7dmzJ+vWrWumykRE5FI0I1xERExTaIiIiGkKDRERMU2hISIipik0RETENF0uVkSueG5nnSY7fstZW0P5yVqv7V+hISJXPD9rAIVLJvi6jBah7/TXAe+FhrqnRETENIWGiIiYptAQERHTFBoiImKaQkNERExTaIiIiGkKDRERMU2hISIipik0RETENIWGiIiYptAQERHTFBoiImKaQkNERExTaIiIiGkKDRERMe2KCI2PP/6YoUOHEhUVxZo1a3xdjohIq9Xib8JUUlLC0qVL+fDDD2nTpg1jxoyhf//+3Hrrrb4uTUSk1WnxoVFQUMCAAQO4/vrrAYiOjiY/P5/Jkyeb2t7Pz/KDa7jxhrY/eB9XizbXdvB1CS1GU7y2fii9Nr+n1+b3fshrs6FtLYZhGJe992bw2muvcfr0aV544QUAPvjgA/bt28fcuXN9XJmISOvT4sc03G43Fsv3yWcYRr1lERFpPi0+NEJDQ3E4HJ5lh8OB3W73YUUiIq1Xiw+NgQMH8sknn3DixAnOnDnDn/70JyIjI31dlohIq9TiB8I7duzICy+8wLhx46irq2P06NH87Gc/83VZIiKtUosfCBcRkZajxXdPiYhIy6HQEBER0xQaIiJimkJDRERMU2iIiIhpCg05z9GjR7ntttvYuXNnvfb77ruPo0eP+qgqaa3mzJnD1KlT67Xt2LGD+++/n8rKSh9V1XopNOSCAgICmDlzpv4oxeemTZvG/v372bp1KwCnT5/mlVdeYcGCBYSEhPi4utZHoSEXZLfbGThwIIsXLz7vsd/+9rcMHTqUuLg4Fi1ahMvl8kGF0lq0bduWefPmMXfuXE6fPk1WVhb33XcfwcHBPPzww4wcOZLHH3+cr776CoA333yT4cOH88ADDzBr1iwfV3/1UWjIRSUnJ7Njx4563VR/+ctf2LZtG+vXr2fDhg0cOXKE9957z4dVSmswcOBABg0axIwZM9i5cydTpkwhLS2NV199lQ0bNvDYY48xc+ZMXC4Xr732GuvXr+fDDz+krq6OkpISX5d/VWnxlxER3wkJCWHu3LnMnDmTjz76CIBdu3YRGxtLcHAwAKNGjSInJ4fExERfliqtQHJyMvfccw8rVqzg2LFjfPXVV0yaNMnzeGVlJf7+/vTp04fRo0dz//3389hjj9GxY0cfVn31UWjIJQ0aNKheN5Xb7T5vHafT2dxlSSsUEhLCtddeS1hYGJWVldx8883k5uYC4HK5KCsrAyA7O5v/+Z//4S9/+QsTJkwgIyODu+66y5elX1XUPSUN+q6bqrS0lAEDBvDHP/6R6upqnE4n69evZ8CAAb4uUVqZrl27cvLkST799FMA1q9fz0svvcSJEycYOnQoPXr04LnnnuPnP/85X3zxhY+rvbroTEMa9F031RNPPME999zDqVOnGDVqFE6nk0GDBjF27FhflyitTJs2bVi2bBnz58+npqaGkJAQFi9eTPv27XnooYcYPXo0wcHB3HLLLYwaNcrX5V5VdJVbERExTd1TIiJimkJDRERMU2iIiIhpCg0RETFNoSEiIqbpI7fSah09epQhQ4bQo0cP4JuJi23btmXcuHEMHTrUp7X16dOHjz/+mJtvvvmytv/ggw+ora3VTH1pcgoNadWCgoI8s4oBioqKGD9+PP7+/kRHR/uwsh+msLCQ7t27+7oMuQopNETOEhYWxtSpU1m1ahX33nsvGRkZ7NmzB5fLxU9+8hPS0tIICQnhvvvuIzY2lp07d1JRUcFjjz1GQkICANu2bWPlypXU1dURFBTEyy+/TJ8+fVi+fDlFRUU4HA6Kioro2LEjv/rVr7Db7Xz66afMnTsXi8XCT3/603qXa2ns/vbu3cu2bdvYuXMnQUFBDBgwgNTUVGprazEMg9GjR+sMRC6fIdJKffXVV0Z4ePh57V9++aVxxx13GMuXLzcWLVpkuN1uwzAM49VXXzXS09MNwzCMe++915g5c6bhdruNY8eOGf379zc+//xz49ChQ8awYcOMEydOePb185//3KiqqjKysrKM+++/36ioqDAMwzAmTpxoLFu2zKipqTEGDhxoFBQUGIZhGB9//LHRo0cP46uvvrqs/RmGYbz88svG66+/bhiGYcyYMcN47bXXDMMwjNLSUuP55583XC6XN36k0groTEPkHBaLhaCgIP77v/+biooKCgoKAKirq6NDhw6e9RISErBYLISGhnL33Xezc+dOAgMDKS0tZfz48fX2969//QuAu+66y3PjoJ/85CecPHmSL7/8EqvVSkREBADDhg3z3Adi586djd7fuYYMGcLLL7/Mvn37iIiIIC0tDT8/fQZGLo9CQ+Qcf/vb3+jRoweVlZWkpKQwePBgAKqqqqipqfGsZ7V+/+fjdrvx8/PD7XYTERHBr3/9a89jx44dw263s2XLFoKCgjztFosF49ur+BjnXM3nu31f7v7Odu+997J582YKCgr45JNPWLFiBR9++CGhoaGX8dOR1k5vN0TOcujQIbKzs3n88ccZNGgQa9asoba2FrfbzcyZM8nMzPSsm5OTA0BxcTE7d+4kMjKSiIgIdu7cycGDBwHYvn07w4cPp7q6+qLHvO222zAMg+3btwOwdetWzxnD5ewPwN/f33PJ+mnTppGXl0dsbCzp6emEhIR4zlREGktnGtKqVVdXM2LECAD8/PwIDAzkxRdf5J577mHAgAEsXryYkSNH4nK5uP3220lOTvZse/ToUeLj46muriYtLY2uXbsCMGfOHF588UUMw8BqtbJy5Uratm170RoCAgJYsWIFr7zyCpmZmdx+++2ebrBbb7210fsDiIyMZNGiRQA888wzpKam8v777+Pv788vfvEL7rzzzh/0c5PWS1e5FbkM9913H8uWLeOnP/2pr0sRaVbqnhIREdN0piEiIqbpTENERExTaIiIiGkKDRERMU2hISIipik0RETEtP8Phh5wOtg9uLkAAAAASUVORK5CYII=",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.countplot(x=\"Dependents\", hue=\"Churn\", data=data_no_mv)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Kunden, die Verwandte haben, sind eher bereit, abzuwandern."
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Mehrere Anschlüsse"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 164,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.countplot(x=\"MultipleLines\", hue=\"Churn\", data=data_no_mv)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Bei Kunden, die mehrere Anschlüsse haben, ist die Wahrscheinlichkeit einer Abwanderung  geringer."
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Internet Service"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 165,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.countplot(x=\"InternetService\", hue=\"Churn\", data=data_no_mv)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Wenn ein Kunde einen Glasfaseranschluss hat, ist es wahrscheinlicher, dass er ausfällt als ein Kunde mit DSL."
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Online-Sicherheit"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 166,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.countplot(x=\"OnlineSecurity\", hue=\"Churn\", data=data_no_mv)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Kunden, die den Internet-Sicherheitsdienst nicht nutzen, werden eher abwandern."
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Online Backup"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 167,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.countplot(x=\"OnlineBackup\", hue=\"Churn\", data=data_no_mv)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Personen, die keine Online-Datensicherung nutzen, sind eher bereit, umzuziehen."
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Geräteschutz\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 168,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.countplot(x=\"DeviceProtection\", hue=\"Churn\", data=data_no_mv)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Kunden, die keinen zusätzlichen Geräteschutz erworben haben, werden mit größerer Wahrscheinlichkeit migrieren."
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Technischer Support"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 169,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.countplot(x=\"TechSupport\", hue=\"Churn\", data=data_no_mv)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Kunden, die keinen technischen Support in Anspruch nehmen, werden eher abwandern."
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Streaming-TV/ Streaming-Filme"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 170,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "for col in [\"StreamingTV\", \"StreamingMovies\"]:\n",
+    "    sns.countplot(x=col, hue='Churn', data=data_no_mv)\n",
+    "    plt.show()"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Die Hinzunahme von Film- und TV-Streaming-Angeboten hat kaum Auswirkungen auf die Abwanderungsrate."
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Papierlose Abrechnung"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 171,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.countplot(x=\"PaperlessBilling\", hue=\"Churn\", data=data_no_mv)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Kunden, die ohne Rechnung bezahlen, werden eher abwandern."
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Zahlungsmethode"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 172,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.countplot(x=\"PaymentMethod\", hue=\"Churn\", data=data_no_mv)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Kunden, die mit elektronischen Schecks bezahlen, wandern deutlich häufiger ab als Kunden, die eine andere Zahlungsmethode verwenden."
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Vertrag"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 173,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.countplot(x=\"Contract\", hue=\"Churn\", data=data_no_mv)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Bei Kunden mit kurzfristigen Verträgen ist die Wahrscheinlichkeit größer, dass sie das Unternehmen verlassen, als bei Kunden mit längerfristigen Verträgen."
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {
+    "include": true,
+    "paragraph": "DataPreparation"
+   },
+   "source": [
+    "# 3. Aufbereitung der Daten"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {
+    "include": true,
+    "paragraph": "DataPreparation"
+   },
+   "source": [
+    "## 3.1. Reduzieren der Kunden-ID"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 174,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Removing the Customer ID, it does not add value to the model\n",
+    "data_prep = data_no_mv.drop(\"customerID\", axis = 1)"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {
+    "include": true,
+    "paragraph": "DataPreparation"
+   },
+   "source": [
+    "## 3.2. Umkodierung der kategorialen Variablen"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 175,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Convert binary variables to 1 and 0 with Yes and No\n",
+    "bin_var = [\"Partner\",\"Dependents\",\"PhoneService\",\"PaperlessBilling\",\"Churn\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 176,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def binaer_umwandeln(x):\n",
+    "    return x.map({'Yes':1,'No':0})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 177,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>gender</th>\n",
+       "      <th>SeniorCitizen</th>\n",
+       "      <th>Partner</th>\n",
+       "      <th>Dependents</th>\n",
+       "      <th>tenure</th>\n",
+       "      <th>PhoneService</th>\n",
+       "      <th>MultipleLines</th>\n",
+       "      <th>InternetService</th>\n",
+       "      <th>OnlineSecurity</th>\n",
+       "      <th>OnlineBackup</th>\n",
+       "      <th>DeviceProtection</th>\n",
+       "      <th>TechSupport</th>\n",
+       "      <th>StreamingTV</th>\n",
+       "      <th>StreamingMovies</th>\n",
+       "      <th>Contract</th>\n",
+       "      <th>PaperlessBilling</th>\n",
+       "      <th>PaymentMethod</th>\n",
+       "      <th>MonthlyCharges</th>\n",
+       "      <th>TotalCharges</th>\n",
+       "      <th>Churn</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Female</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>No phone service</td>\n",
+       "      <td>DSL</td>\n",
+       "      <td>No</td>\n",
+       "      <td>Yes</td>\n",
+       "      <td>No</td>\n",
+       "      <td>No</td>\n",
+       "      <td>No</td>\n",
+       "      <td>No</td>\n",
+       "      <td>Month-to-month</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Electronic check</td>\n",
+       "      <td>29.85</td>\n",
+       "      <td>29.85</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Male</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>34</td>\n",
+       "      <td>1</td>\n",
+       "      <td>No</td>\n",
+       "      <td>DSL</td>\n",
+       "      <td>Yes</td>\n",
+       "      <td>No</td>\n",
+       "      <td>Yes</td>\n",
+       "      <td>No</td>\n",
+       "      <td>No</td>\n",
+       "      <td>No</td>\n",
+       "      <td>One year</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Mailed check</td>\n",
+       "      <td>56.95</td>\n",
+       "      <td>1889.50</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Male</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>No</td>\n",
+       "      <td>DSL</td>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Yes</td>\n",
+       "      <td>No</td>\n",
+       "      <td>No</td>\n",
+       "      <td>No</td>\n",
+       "      <td>No</td>\n",
+       "      <td>Month-to-month</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Mailed check</td>\n",
+       "      <td>53.85</td>\n",
+       "      <td>108.15</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Male</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>45</td>\n",
+       "      <td>0</td>\n",
+       "      <td>No phone service</td>\n",
+       "      <td>DSL</td>\n",
+       "      <td>Yes</td>\n",
+       "      <td>No</td>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Yes</td>\n",
+       "      <td>No</td>\n",
+       "      <td>No</td>\n",
+       "      <td>One year</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Bank transfer (automatic)</td>\n",
+       "      <td>42.30</td>\n",
+       "      <td>1840.75</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>Female</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>No</td>\n",
+       "      <td>Fiber optic</td>\n",
+       "      <td>No</td>\n",
+       "      <td>No</td>\n",
+       "      <td>No</td>\n",
+       "      <td>No</td>\n",
+       "      <td>No</td>\n",
+       "      <td>No</td>\n",
+       "      <td>Month-to-month</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Electronic check</td>\n",
+       "      <td>70.70</td>\n",
+       "      <td>151.65</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   gender  SeniorCitizen  Partner  Dependents  tenure  PhoneService  \\\n",
+       "0  Female              0        1           0       1             0   \n",
+       "1    Male              0        0           0      34             1   \n",
+       "2    Male              0        0           0       2             1   \n",
+       "3    Male              0        0           0      45             0   \n",
+       "4  Female              0        0           0       2             1   \n",
+       "\n",
+       "      MultipleLines InternetService OnlineSecurity OnlineBackup  \\\n",
+       "0  No phone service             DSL             No          Yes   \n",
+       "1                No             DSL            Yes           No   \n",
+       "2                No             DSL            Yes          Yes   \n",
+       "3  No phone service             DSL            Yes           No   \n",
+       "4                No     Fiber optic             No           No   \n",
+       "\n",
+       "  DeviceProtection TechSupport StreamingTV StreamingMovies        Contract  \\\n",
+       "0               No          No          No              No  Month-to-month   \n",
+       "1              Yes          No          No              No        One year   \n",
+       "2               No          No          No              No  Month-to-month   \n",
+       "3              Yes         Yes          No              No        One year   \n",
+       "4               No          No          No              No  Month-to-month   \n",
+       "\n",
+       "   PaperlessBilling              PaymentMethod  MonthlyCharges  TotalCharges  \\\n",
+       "0                 1           Electronic check           29.85         29.85   \n",
+       "1                 0               Mailed check           56.95       1889.50   \n",
+       "2                 1               Mailed check           53.85        108.15   \n",
+       "3                 0  Bank transfer (automatic)           42.30       1840.75   \n",
+       "4                 1           Electronic check           70.70        151.65   \n",
+       "\n",
+       "   Churn  \n",
+       "0      0  \n",
+       "1      0  \n",
+       "2      1  \n",
+       "3      0  \n",
+       "4      1  "
+      ]
+     },
+     "execution_count": 177,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data_prep[bin_var]=data_prep[bin_var].apply(binaer_umwandeln)\n",
+    "data_prep.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 178,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>SeniorCitizen</th>\n",
+       "      <th>Partner</th>\n",
+       "      <th>Dependents</th>\n",
+       "      <th>tenure</th>\n",
+       "      <th>PhoneService</th>\n",
+       "      <th>PaperlessBilling</th>\n",
+       "      <th>MonthlyCharges</th>\n",
+       "      <th>TotalCharges</th>\n",
+       "      <th>Churn</th>\n",
+       "      <th>gender_Male</th>\n",
+       "      <th>...</th>\n",
+       "      <th>TechSupport_Yes</th>\n",
+       "      <th>StreamingTV_No internet service</th>\n",
+       "      <th>StreamingTV_Yes</th>\n",
+       "      <th>StreamingMovies_No internet service</th>\n",
+       "      <th>StreamingMovies_Yes</th>\n",
+       "      <th>Contract_One year</th>\n",
+       "      <th>Contract_Two year</th>\n",
+       "      <th>PaymentMethod_Credit card (automatic)</th>\n",
+       "      <th>PaymentMethod_Electronic check</th>\n",
+       "      <th>PaymentMethod_Mailed check</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>29.85</td>\n",
+       "      <td>29.85</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>34</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>56.95</td>\n",
+       "      <td>1889.50</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>53.85</td>\n",
+       "      <td>108.15</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>45</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>42.30</td>\n",
+       "      <td>1840.75</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>70.70</td>\n",
+       "      <td>151.65</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>5 rows × 31 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   SeniorCitizen  Partner  Dependents  tenure  PhoneService  PaperlessBilling  \\\n",
+       "0              0        1           0       1             0                 1   \n",
+       "1              0        0           0      34             1                 0   \n",
+       "2              0        0           0       2             1                 1   \n",
+       "3              0        0           0      45             0                 0   \n",
+       "4              0        0           0       2             1                 1   \n",
+       "\n",
+       "   MonthlyCharges  TotalCharges  Churn  gender_Male  ...  TechSupport_Yes  \\\n",
+       "0           29.85         29.85      0            0  ...                0   \n",
+       "1           56.95       1889.50      0            1  ...                0   \n",
+       "2           53.85        108.15      1            1  ...                0   \n",
+       "3           42.30       1840.75      0            1  ...                1   \n",
+       "4           70.70        151.65      1            0  ...                0   \n",
+       "\n",
+       "   StreamingTV_No internet service  StreamingTV_Yes  \\\n",
+       "0                                0                0   \n",
+       "1                                0                0   \n",
+       "2                                0                0   \n",
+       "3                                0                0   \n",
+       "4                                0                0   \n",
+       "\n",
+       "   StreamingMovies_No internet service  StreamingMovies_Yes  \\\n",
+       "0                                    0                    0   \n",
+       "1                                    0                    0   \n",
+       "2                                    0                    0   \n",
+       "3                                    0                    0   \n",
+       "4                                    0                    0   \n",
+       "\n",
+       "   Contract_One year  Contract_Two year  \\\n",
+       "0                  0                  0   \n",
+       "1                  1                  0   \n",
+       "2                  0                  0   \n",
+       "3                  1                  0   \n",
+       "4                  0                  0   \n",
+       "\n",
+       "   PaymentMethod_Credit card (automatic)  PaymentMethod_Electronic check  \\\n",
+       "0                                      0                               1   \n",
+       "1                                      0                               0   \n",
+       "2                                      0                               0   \n",
+       "3                                      0                               0   \n",
+       "4                                      0                               1   \n",
+       "\n",
+       "   PaymentMethod_Mailed check  \n",
+       "0                           0  \n",
+       "1                           1  \n",
+       "2                           1  \n",
+       "3                           0  \n",
+       "4                           0  \n",
+       "\n",
+       "[5 rows x 31 columns]"
+      ]
+     },
+     "execution_count": 178,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# create dummies\n",
+    "data_enc = pd.get_dummies(data_prep, drop_first=True)\n",
+    "data_enc.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 179,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Dropping of dummies that also contain No phone service and No Internet service\n",
+    "dup_variables = [\"OnlineSecurity_No internet service\",\"OnlineBackup_No internet service\", \"TechSupport_No internet service\",\"StreamingTV_No internet service\",\"StreamingMovies_No internet service\", \"DeviceProtection_No internet service\",\"MultipleLines_No phone service\"]\n",
+    "data_enc.drop(dup_variables, axis=1, inplace=True)"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {
+    "include": true,
+    "paragraph": "DataPreparation"
+   },
+   "source": [
+    "## 3.3. Test auf Multikollinearität"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {
+    "include": true,
+    "paragraph": "DataPreparation"
+   },
+   "source": [
+    "Um ein korrektes Funktionieren der späteren Regression zu gewährleisten, darf keine Multikollinearität zwischen den Variablen bestehen. Das Vorhandensein einer solchen wird mit Hilfe der Bibliothek Statsmodel überprüft."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 180,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "                                  feature         VIF\n",
+      "0                           SeniorCitizen    1.376564\n",
+      "1                                 Partner    2.824725\n",
+      "2                              Dependents    1.969391\n",
+      "3                                  tenure   20.482153\n",
+      "4                            PhoneService   47.244378\n",
+      "5                        PaperlessBilling    2.956951\n",
+      "6                          MonthlyCharges  212.353073\n",
+      "7                            TotalCharges   21.374002\n",
+      "8                             gender_Male    2.021331\n",
+      "9                       MultipleLines_Yes    2.861614\n",
+      "10            InternetService_Fiber optic   17.695260\n",
+      "11                     InternetService_No    8.234451\n",
+      "12                     OnlineSecurity_Yes    2.682712\n",
+      "13                       OnlineBackup_Yes    2.909898\n",
+      "14                   DeviceProtection_Yes    2.992570\n",
+      "15                        TechSupport_Yes    2.758343\n",
+      "16                        StreamingTV_Yes    4.928957\n",
+      "17                    StreamingMovies_Yes    5.090603\n",
+      "18                      Contract_One year    2.056188\n",
+      "19                      Contract_Two year    3.487502\n",
+      "20  PaymentMethod_Credit card (automatic)    1.984196\n",
+      "21         PaymentMethod_Electronic check    2.955994\n",
+      "22             PaymentMethod_Mailed check    2.383290\n"
+     ]
+    }
+   ],
+   "source": [
+    "# independent variables\n",
+    "vif_test = data_enc.drop(\"Churn\", axis=1)\n",
+    "  \n",
+    "# VIF dataframe \n",
+    "vif_data = pd.DataFrame() \n",
+    "vif_data[\"feature\"] = vif_test.columns \n",
+    "  \n",
+    "# VIF for each Feature \n",
+    "vif_data[\"VIF\"] = [variance_inflation_factor(vif_test.values, i) \n",
+    "                          for i in range(len(vif_test.columns))] \n",
+    "  \n",
+    "print(vif_data)"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "\"MonthlyCharges\" hat den höchsten VIF und wird aus dem Datensatz entfernt."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 181,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data_enc.drop(\"MonthlyCharges\", axis=1, inplace=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 182,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "                                  feature        VIF\n",
+      "0                           SeniorCitizen   1.366018\n",
+      "1                                 Partner   2.817414\n",
+      "2                              Dependents   1.961947\n",
+      "3                                  tenure  17.073930\n",
+      "4                            PhoneService   9.277446\n",
+      "5                        PaperlessBilling   2.796488\n",
+      "6                            TotalCharges  18.028499\n",
+      "7                             gender_Male   1.942509\n",
+      "8                       MultipleLines_Yes   2.514269\n",
+      "9             InternetService_Fiber optic   4.186492\n",
+      "10                     InternetService_No   3.473225\n",
+      "11                     OnlineSecurity_Yes   1.986701\n",
+      "12                       OnlineBackup_Yes   2.182678\n",
+      "13                   DeviceProtection_Yes   2.299462\n",
+      "14                        TechSupport_Yes   2.099655\n",
+      "15                        StreamingTV_Yes   2.749724\n",
+      "16                    StreamingMovies_Yes   2.771330\n",
+      "17                      Contract_One year   2.056169\n",
+      "18                      Contract_Two year   3.468149\n",
+      "19  PaymentMethod_Credit card (automatic)   1.820729\n",
+      "20         PaymentMethod_Electronic check   2.535918\n",
+      "21             PaymentMethod_Mailed check   1.982063\n"
+     ]
+    }
+   ],
+   "source": [
+    "# the independent variables set \n",
+    "vif_test = data_enc.drop(\"Churn\", axis=1)\n",
+    "  \n",
+    "# VIF dataframe \n",
+    "vif_data = pd.DataFrame() \n",
+    "vif_data[\"feature\"] = vif_test.columns \n",
+    "  \n",
+    "# VIF for each Feature \n",
+    "vif_data[\"VIF\"] = [variance_inflation_factor(vif_test.values, i) \n",
+    "                          for i in range(len(vif_test.columns))] \n",
+    "  \n",
+    "print(vif_data)"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "\"TotalCharges\" hat den höchsten VIF und wird aus dem Datensatz entfernt."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 183,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data_enc.drop(\"TotalCharges\", axis=1, inplace=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 184,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "                                  feature       VIF\n",
+      "0                           SeniorCitizen  1.363244\n",
+      "1                                 Partner  2.816895\n",
+      "2                              Dependents  1.956413\n",
+      "3                                  tenure  7.530356\n",
+      "4                            PhoneService  9.260839\n",
+      "5                        PaperlessBilling  2.757816\n",
+      "6                             gender_Male  1.931277\n",
+      "7                       MultipleLines_Yes  2.426699\n",
+      "8             InternetService_Fiber optic  3.581328\n",
+      "9                      InternetService_No  3.321342\n",
+      "10                     OnlineSecurity_Yes  1.947904\n",
+      "11                       OnlineBackup_Yes  2.093763\n",
+      "12                   DeviceProtection_Yes  2.241375\n",
+      "13                        TechSupport_Yes  2.060410\n",
+      "14                        StreamingTV_Yes  2.636855\n",
+      "15                    StreamingMovies_Yes  2.661529\n",
+      "16                      Contract_One year  2.055971\n",
+      "17                      Contract_Two year  3.456061\n",
+      "18  PaymentMethod_Credit card (automatic)  1.794059\n",
+      "19         PaymentMethod_Electronic check  2.401970\n",
+      "20             PaymentMethod_Mailed check  1.967082\n"
+     ]
+    }
+   ],
+   "source": [
+    "# the independent variables set \n",
+    "vif_test = data_enc.drop(\"Churn\", axis=1)\n",
+    "  \n",
+    "# VIF dataframe \n",
+    "vif_data = pd.DataFrame() \n",
+    "vif_data[\"feature\"] = vif_test.columns \n",
+    "  \n",
+    "# calculating VIF for each feature \n",
+    "vif_data[\"VIF\"] = [variance_inflation_factor(vif_test.values, i) \n",
+    "                          for i in range(len(vif_test.columns))] \n",
+    "  \n",
+    "print(vif_data)"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Keine der Variablen hat jetzt einen VIF von mehr als 10."
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 3.4. Merkmalsskalierung"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 185,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Separate target variable and predictors\n",
+    "y = data_enc[\"Churn\"]\n",
+    "X = data_enc.drop(labels = [\"Churn\"], axis = 1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 186,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>SeniorCitizen</th>\n",
+       "      <th>Partner</th>\n",
+       "      <th>Dependents</th>\n",
+       "      <th>tenure</th>\n",
+       "      <th>PhoneService</th>\n",
+       "      <th>PaperlessBilling</th>\n",
+       "      <th>gender_Male</th>\n",
+       "      <th>MultipleLines_Yes</th>\n",
+       "      <th>InternetService_Fiber optic</th>\n",
+       "      <th>InternetService_No</th>\n",
+       "      <th>...</th>\n",
+       "      <th>OnlineBackup_Yes</th>\n",
+       "      <th>DeviceProtection_Yes</th>\n",
+       "      <th>TechSupport_Yes</th>\n",
+       "      <th>StreamingTV_Yes</th>\n",
+       "      <th>StreamingMovies_Yes</th>\n",
+       "      <th>Contract_One year</th>\n",
+       "      <th>Contract_Two year</th>\n",
+       "      <th>PaymentMethod_Credit card (automatic)</th>\n",
+       "      <th>PaymentMethod_Electronic check</th>\n",
+       "      <th>PaymentMethod_Mailed check</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
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+       "      <td>-1.280248</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
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+       "      <td>1</td>\n",
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+       "    </tr>\n",
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+       "      <th>1</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.064303</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
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+       "      <td>1</td>\n",
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+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
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+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-1.239504</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.512486</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
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+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-1.239504</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>5 rows × 21 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   SeniorCitizen  Partner  Dependents    tenure  PhoneService  \\\n",
+       "0              0        1           0 -1.280248             0   \n",
+       "1              0        0           0  0.064303             1   \n",
+       "2              0        0           0 -1.239504             1   \n",
+       "3              0        0           0  0.512486             0   \n",
+       "4              0        0           0 -1.239504             1   \n",
+       "\n",
+       "   PaperlessBilling  gender_Male  MultipleLines_Yes  \\\n",
+       "0                 1            0                  0   \n",
+       "1                 0            1                  0   \n",
+       "2                 1            1                  0   \n",
+       "3                 0            1                  0   \n",
+       "4                 1            0                  0   \n",
+       "\n",
+       "   InternetService_Fiber optic  InternetService_No  ...  OnlineBackup_Yes  \\\n",
+       "0                            0                   0  ...                 1   \n",
+       "1                            0                   0  ...                 0   \n",
+       "2                            0                   0  ...                 1   \n",
+       "3                            0                   0  ...                 0   \n",
+       "4                            1                   0  ...                 0   \n",
+       "\n",
+       "   DeviceProtection_Yes  TechSupport_Yes  StreamingTV_Yes  \\\n",
+       "0                     0                0                0   \n",
+       "1                     1                0                0   \n",
+       "2                     0                0                0   \n",
+       "3                     1                1                0   \n",
+       "4                     0                0                0   \n",
+       "\n",
+       "   StreamingMovies_Yes  Contract_One year  Contract_Two year  \\\n",
+       "0                    0                  0                  0   \n",
+       "1                    0                  1                  0   \n",
+       "2                    0                  0                  0   \n",
+       "3                    0                  1                  0   \n",
+       "4                    0                  0                  0   \n",
+       "\n",
+       "   PaymentMethod_Credit card (automatic)  PaymentMethod_Electronic check  \\\n",
+       "0                                      0                               1   \n",
+       "1                                      0                               0   \n",
+       "2                                      0                               0   \n",
+       "3                                      0                               0   \n",
+       "4                                      0                               1   \n",
+       "\n",
+       "   PaymentMethod_Mailed check  \n",
+       "0                           0  \n",
+       "1                           1  \n",
+       "2                           1  \n",
+       "3                           0  \n",
+       "4                           0  \n",
+       "\n",
+       "[5 rows x 21 columns]"
+      ]
+     },
+     "execution_count": 186,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Scaling the variables\n",
+    "num_features = ['tenure']\n",
+    "\n",
+    "scaler = StandardScaler()\n",
+    "\n",
+    "X[num_features] = scaler.fit_transform(X[num_features])\n",
+    "X.head()"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 3.5. Undersampling "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 187,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "iht = InstanceHardnessThreshold(random_state=0,estimator=LogisticRegression (solver='lbfgs', multi_class='auto'))\n",
+    "                               \n",
+    "X_resampled, y_resampled = iht.fit_resample(X, y)"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 3.6. Erstellen von Test- & Trainingsdaten"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 188,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Split dataset in train and test datasets\n",
+    "# The default value of 80% to 20% is used.\n",
+    "X_train, X_test, y_train, y_test = train_test_split(X_resampled, y_resampled, random_state=110)"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {
+    "include": true,
+    "paragraph": "Modeling"
+   },
+   "source": [
+    "# 4. Modellierung und Auswertung"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 4.1. Logistische Regression"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {
+    "include": true,
+    "paragraph": "Modeling"
+   },
+   "source": [
+    "Zur Lösung des Problems wird die logistische Regression verwendet. Hierfür werden die beiden Bibliotheken Statsmodels und Scikit-Learn verwendet. Die komplette Auswertung des Modells findet erst im Unterkapitel zu Scikit-Learn statt."
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {
+    "include": true,
+    "paragraph": "Modeling"
+   },
+   "source": [
+    "## Statistische Modelle"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {
+    "include": true,
+    "paragraph": "Modeling"
+   },
+   "source": [
+    "### Training und Vorhersage"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 189,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Optimization terminated successfully.\n",
+      "         Current function value: 0.082006\n",
+      "         Iterations 11\n",
+      "                           Logit Regression Results                           \n",
+      "==============================================================================\n",
+      "Dep. Variable:                  Churn   No. Observations:                 2803\n",
+      "Model:                          Logit   Df Residuals:                     2781\n",
+      "Method:                           MLE   Df Model:                           21\n",
+      "Date:                Thu, 21 Oct 2021   Pseudo R-squ.:                  0.8817\n",
+      "Time:                        15:00:28   Log-Likelihood:                -229.86\n",
+      "converged:                       True   LL-Null:                       -1942.4\n",
+      "Covariance Type:            nonrobust   LLR p-value:                     0.000\n",
+      "=========================================================================================================\n",
+      "                                            coef    std err          z      P>|z|      [0.025      0.975]\n",
+      "---------------------------------------------------------------------------------------------------------\n",
+      "const                                     5.1912      0.828      6.266      0.000       3.567       6.815\n",
+      "SeniorCitizen                             0.4609      0.457      1.008      0.313      -0.435       1.357\n",
+      "Partner                                  -0.4112      0.302     -1.362      0.173      -1.003       0.181\n",
+      "Dependents                               -0.5746      0.294     -1.952      0.051      -1.151       0.002\n",
+      "tenure                                   -2.9281      0.309     -9.468      0.000      -3.534      -2.322\n",
+      "PhoneService                             -1.2307      0.544     -2.261      0.024      -2.298      -0.164\n",
+      "PaperlessBilling                          1.2621      0.288      4.385      0.000       0.698       1.826\n",
+      "gender_Male                              -0.1334      0.255     -0.524      0.600      -0.633       0.366\n",
+      "MultipleLines_Yes                         1.0865      0.336      3.231      0.001       0.427       1.746\n",
+      "InternetService_Fiber optic               3.1681      0.400      7.916      0.000       2.384       3.952\n",
+      "InternetService_No                       -2.8314      0.567     -4.992      0.000      -3.943      -1.720\n",
+      "OnlineSecurity_Yes                       -1.7901      0.321     -5.581      0.000      -2.419      -1.161\n",
+      "OnlineBackup_Yes                         -0.3203      0.309     -1.036      0.300      -0.926       0.286\n",
+      "DeviceProtection_Yes                      0.4336      0.331      1.312      0.190      -0.214       1.082\n",
+      "TechSupport_Yes                          -0.8710      0.329     -2.648      0.008      -1.516      -0.226\n",
+      "StreamingTV_Yes                           1.1971      0.351      3.414      0.001       0.510       1.884\n",
+      "StreamingMovies_Yes                       1.4263      0.374      3.815      0.000       0.693       2.159\n",
+      "Contract_One year                        -3.5720      0.488     -7.317      0.000      -4.529      -2.615\n",
+      "Contract_Two year                        -6.5206      0.584    -11.164      0.000      -7.665      -5.376\n",
+      "PaymentMethod_Credit card (automatic)    -0.0720      0.313     -0.230      0.818      -0.686       0.542\n",
+      "PaymentMethod_Electronic check            1.2794      0.406      3.154      0.002       0.484       2.075\n",
+      "PaymentMethod_Mailed check               -0.3240      0.398     -0.813      0.416      -1.105       0.457\n",
+      "=========================================================================================================\n",
+      "\n",
+      "Possibly complete quasi-separation: A fraction 0.37 of observations can be\n",
+      "perfectly predicted. This might indicate that there is complete\n",
+      "quasi-separation. In this case some parameters will not be identified.\n"
+     ]
+    }
+   ],
+   "source": [
+    "# add constant\n",
+    "X_const = sm.add_constant(X_train)\n",
+    "# create model\n",
+    "log_reg = sm.Logit(y_train, X_const).fit() \n",
+    "print(log_reg.summary())"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {
+    "include": true,
+    "paragraph": "Modeling"
+   },
+   "source": [
+    "Das trainierte Modell zeigt statistisch nicht-signifikante Variablen an. Dies ist gegeben, wenn der Wert P>|z| größer als 0,05 ist und es sich nicht um die Konstante handelt."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 190,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Removing the statistically non-significant features (P>|z|> 0.05)\n",
+    "insignificant_features = [\"Partner\", \"gender_Male\", \"OnlineBackup_Yes\", \"DeviceProtection_Yes\", \"PaymentMethod_Credit card (automatic)\",\"PaymentMethod_Mailed check\"]\n",
+    "X_train.drop(insignificant_features, axis=1, inplace=True)\n",
+    "X_test.drop(insignificant_features, axis=1, inplace=True)"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {
+    "include": false,
+    "paragraph": "Modeling"
+   },
+   "source": [
+    "Nun kann ein zweites Modell erstellt werden:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 191,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Optimization terminated successfully.\n",
+      "         Current function value: 0.083077\n",
+      "         Iterations 11\n",
+      "                           Logit Regression Results                           \n",
+      "==============================================================================\n",
+      "Dep. Variable:                  Churn   No. Observations:                 2803\n",
+      "Model:                          Logit   Df Residuals:                     2787\n",
+      "Method:                           MLE   Df Model:                           15\n",
+      "Date:                Thu, 21 Oct 2021   Pseudo R-squ.:                  0.8801\n",
+      "Time:                        15:00:28   Log-Likelihood:                -232.87\n",
+      "converged:                       True   LL-Null:                       -1942.4\n",
+      "Covariance Type:            nonrobust   LLR p-value:                     0.000\n",
+      "==================================================================================================\n",
+      "                                     coef    std err          z      P>|z|      [0.025      0.975]\n",
+      "--------------------------------------------------------------------------------------------------\n",
+      "const                              4.7119      0.718      6.566      0.000       3.305       6.118\n",
+      "SeniorCitizen                      0.3954      0.458      0.864      0.387      -0.501       1.292\n",
+      "Dependents                        -0.7328      0.262     -2.797      0.005      -1.246      -0.219\n",
+      "tenure                            -2.9242      0.297     -9.845      0.000      -3.506      -2.342\n",
+      "PhoneService                      -1.2073      0.540     -2.235      0.025      -2.266      -0.149\n",
+      "PaperlessBilling                   1.2161      0.285      4.273      0.000       0.658       1.774\n",
+      "MultipleLines_Yes                  1.0989      0.331      3.320      0.001       0.450       1.748\n",
+      "InternetService_Fiber optic        3.1159      0.391      7.966      0.000       2.349       3.883\n",
+      "InternetService_No                -2.8462      0.529     -5.381      0.000      -3.883      -1.809\n",
+      "OnlineSecurity_Yes                -1.7441      0.313     -5.576      0.000      -2.357      -1.131\n",
+      "TechSupport_Yes                   -0.8357      0.325     -2.569      0.010      -1.473      -0.198\n",
+      "StreamingTV_Yes                    1.2193      0.348      3.508      0.000       0.538       1.901\n",
+      "StreamingMovies_Yes                1.4394      0.368      3.908      0.000       0.717       2.161\n",
+      "Contract_One year                 -3.4572      0.471     -7.337      0.000      -4.381      -2.534\n",
+      "Contract_Two year                 -6.3299      0.557    -11.372      0.000      -7.421      -5.239\n",
+      "PaymentMethod_Electronic check     1.3103      0.362      3.623      0.000       0.601       2.019\n",
+      "==================================================================================================\n",
+      "\n",
+      "Possibly complete quasi-separation: A fraction 0.36 of observations can be\n",
+      "perfectly predicted. This might indicate that there is complete\n",
+      "quasi-separation. In this case some parameters will not be identified.\n"
+     ]
+    }
+   ],
+   "source": [
+    "# new model\n",
+    "X_const = sm.add_constant(X_train)\n",
+    "log_reg2 = sm.Logit(y_train, X_const).fit() \n",
+    "print(log_reg2.summary())"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Keine statistisch nicht signifikanten Variablen mehr. Das endgültige Modell wurde modelliert:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 192,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Optimization terminated successfully.\n",
+      "         Current function value: 0.083077\n",
+      "         Iterations 11\n",
+      "                           Logit Regression Results                           \n",
+      "==============================================================================\n",
+      "Dep. Variable:                  Churn   No. Observations:                 2803\n",
+      "Model:                          Logit   Df Residuals:                     2787\n",
+      "Method:                           MLE   Df Model:                           15\n",
+      "Date:                Thu, 21 Oct 2021   Pseudo R-squ.:                  0.8801\n",
+      "Time:                        15:00:28   Log-Likelihood:                -232.87\n",
+      "converged:                       True   LL-Null:                       -1942.4\n",
+      "Covariance Type:            nonrobust   LLR p-value:                     0.000\n",
+      "==================================================================================================\n",
+      "                                     coef    std err          z      P>|z|      [0.025      0.975]\n",
+      "--------------------------------------------------------------------------------------------------\n",
+      "const                              4.7119      0.718      6.566      0.000       3.305       6.118\n",
+      "SeniorCitizen                      0.3954      0.458      0.864      0.387      -0.501       1.292\n",
+      "Dependents                        -0.7328      0.262     -2.797      0.005      -1.246      -0.219\n",
+      "tenure                            -2.9242      0.297     -9.845      0.000      -3.506      -2.342\n",
+      "PhoneService                      -1.2073      0.540     -2.235      0.025      -2.266      -0.149\n",
+      "PaperlessBilling                   1.2161      0.285      4.273      0.000       0.658       1.774\n",
+      "MultipleLines_Yes                  1.0989      0.331      3.320      0.001       0.450       1.748\n",
+      "InternetService_Fiber optic        3.1159      0.391      7.966      0.000       2.349       3.883\n",
+      "InternetService_No                -2.8462      0.529     -5.381      0.000      -3.883      -1.809\n",
+      "OnlineSecurity_Yes                -1.7441      0.313     -5.576      0.000      -2.357      -1.131\n",
+      "TechSupport_Yes                   -0.8357      0.325     -2.569      0.010      -1.473      -0.198\n",
+      "StreamingTV_Yes                    1.2193      0.348      3.508      0.000       0.538       1.901\n",
+      "StreamingMovies_Yes                1.4394      0.368      3.908      0.000       0.717       2.161\n",
+      "Contract_One year                 -3.4572      0.471     -7.337      0.000      -4.381      -2.534\n",
+      "Contract_Two year                 -6.3299      0.557    -11.372      0.000      -7.421      -5.239\n",
+      "PaymentMethod_Electronic check     1.3103      0.362      3.623      0.000       0.601       2.019\n",
+      "==================================================================================================\n",
+      "\n",
+      "Possibly complete quasi-separation: A fraction 0.36 of observations can be\n",
+      "perfectly predicted. This might indicate that there is complete\n",
+      "quasi-separation. In this case some parameters will not be identified.\n"
+     ]
+    }
+   ],
+   "source": [
+    "# final model\n",
+    "X_const = sm.add_constant(X_train)\n",
+    "log_reg_final = sm.Logit(y_train, X_const).fit() \n",
+    "print(log_reg_final.summary())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 193,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "# prediction\n",
+    "y_hat = log_reg_final.predict(sm.add_constant(X_test)) \n",
+    "# Statsmodel only gives the probabilities, therefore rounding is required.   \n",
+    "prediction = list(map(round, y_hat))"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 4.1. Auswertung"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Zur Evaluation sollen mehrere Metriken verwendet werden, die komfortabler mittels Scikit-Learn erzeugt werden können. Deshalb wird das identische Modell wie mit Statsmodels nochmals in Scikit-Learn erzeugt."
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Scikit-Learn"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Training und Vorhersage"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 194,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# C is needed to build the exact same model as with Statsmodels; source: https://www.kdnuggets.com/2016/06/regularization-logistic-regression.html\n",
+    "logistic_model = LogisticRegression(random_state=0, C=1e8)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 195,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# prediction with testdata\n",
+    "result = logistic_model.fit(X_train,y_train)\n",
+    "prediction_test = logistic_model.predict(X_test)\n",
+    "prediction_train = logistic_model.predict(X_train)"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {
+    "include": true,
+    "paragraph": "Evaluation"
+   },
+   "source": [
+    "### Evaluation"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 196,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Accuracy with testdata: 0.9882352941176471\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Accuracy Score \n",
+    "acc = metrics.accuracy_score(y_test, prediction_test)\n",
+    "print('Accuracy with testdata: {}'.format(acc))"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {
+    "include": true,
+    "paragraph": "Evaluation"
+   },
+   "source": [
+    "Die Genauigkeit deutet auf ein überdurchschnittliches Modell hin. Allerdings handelt es sich um einen unausgewogenen Datensatz. Daher müssen weitere Metriken analysiert werden.\n",
+    "\t\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 197,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "traindata:\n",
+      "              precision    recall  f1-score   support\n",
+      "\n",
+      "           0       0.96      1.00      0.98      1374\n",
+      "           1       1.00      0.96      0.98      1429\n",
+      "\n",
+      "    accuracy                           0.98      2803\n",
+      "   macro avg       0.98      0.98      0.98      2803\n",
+      "weighted avg       0.98      0.98      0.98      2803\n",
+      "\n",
+      "testdata:\n",
+      "              precision    recall  f1-score   support\n",
+      "\n",
+      "           0       0.98      1.00      0.99       495\n",
+      "           1       1.00      0.98      0.99       440\n",
+      "\n",
+      "    accuracy                           0.99       935\n",
+      "   macro avg       0.99      0.99      0.99       935\n",
+      "weighted avg       0.99      0.99      0.99       935\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "# classification report\n",
+    "\n",
+    "print(\"traindata:\")\n",
+    "print(classification_report(y_train,prediction_train))\n",
+    "print(\"testdata:\")\n",
+    "print(classification_report(y_test,prediction_test))"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Höhere Genauigkeit für das Training als für den Testdatensatz. Insgesamt sind die Werte für den Test- und den Trainingsdatensatz sehr ähnlich. Daher sollte nicht von einem Overfitting oder Underfitting ausgegangen werden."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 198,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Text(0.5, 39.5, 'Predicted label')"
+      ]
+     },
+     "execution_count": 198,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 720x504 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Confusion matrix testdata\n",
+    "cm = confusion_matrix(y_test,prediction_test)\n",
+    "df_cm = pd.DataFrame(cm, index=['No Churn','Churn'], columns=['No Churn', 'Churn'],)\n",
+    "fig = plt.figure(figsize=[10,7])\n",
+    "heatmap = sns.heatmap(df_cm, annot=True, fmt=\"d\")\n",
+    "heatmap.yaxis.set_ticklabels(heatmap.yaxis.get_ticklabels(), rotation=0, ha='right', fontsize=14)\n",
+    "heatmap.xaxis.set_ticklabels(heatmap.xaxis.get_ticklabels(), rotation=45, ha='right', fontsize=14)\n",
+    "plt.ylabel('True label')\n",
+    "plt.xlabel('Predicted label')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 199,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "True Negatives: 493\n",
+      "False Positives: 2\n",
+      "False Negatives: 9\n",
+      "True Positives: 431\n",
+      "Recall: 0.9795454545454545\n",
+      "Precision: 0.9953810623556582\n"
+     ]
+    }
+   ],
+   "source": [
+    "# metrics from confusion matrix\n",
+    "tn, fp, fn, tp = cm.ravel()\n",
+    "recall = tp/(fn+tp)\n",
+    "precision = tp/(tp+fp)\n",
+    "print(\"True Negatives: \" + str(tn))\n",
+    "print(\"False Positives: \" + str(fp))\n",
+    "print(\"False Negatives: \" + str(fn))\n",
+    "print(\"True Positives: \" + str(tp))\n",
+    "print(\"Recall: \" + str(recall))\n",
+    "print(\"Precision: \" + str(precision))"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Präzision und Recall vermitteln ein viel realistischeres Bild des Modells. Es erreicht eine Präzision von rund 68 % und eine Wiederauffindbarkeit von 52 %. Der Recall ist für den Anwendungsfall eindeutig wichtiger und muss daher auf Kosten der Präzision verbessert werden."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 200,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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mVBwREckk35GfiP98NpZlYStWhvBbB2G4IoIdSy4jx45mN00z3fl4LctKd9vj8TB27Fjmz59PnTp1eOutt3jyySeZPXt2pp+jZMnsOXG/02UHICpKV/TJDhrHrNMYZp3G8MpZPi+n1r9L8tZP8EdXpGxrO3Z3oWDHCmm59T7MsTIvU6YM27ZtS7sdFxdHdPT/Tiiwb98+wsLCqFOnDgB9+vThlVdeuaLnOHkyAdO0spzVm+rH6bITF3c+y9sq6KKiCmscs0hjmHUawytnnj1B8tqZmPGHcdZsyzWdH+Dk6RQ4r3G8Wtn5PrTZjMtOYHNsN3uzZs3YsmULp06dIjk5mTVr1tCyZcu05RUrVuTEiRMcOHAAgLVr11K7du2ciiMiIhmwTD9Jn72EeT4ed/vhuJvfg83hCnYsuQI5NjMvXbo0I0aMYMCAAXi9Xnr27EmdOnUYPHgww4cPp3bt2jz33HM89thjWJZFyZIlmTp1ak7FERGRv7C8HnC4MGx23LcOxla4FLbIksGOJVfBsCwr6/upgyS7drO/sHA7Tpedx3vVzYZUBZt2b2adxjDrNIaB+eMOkbx2Js7qtxBWr/NFyzWGWZebu9l1OlcRkQLEsiy8P68hZesijPAi2KOrBDuSZAOVuYhIAWEmn8Oz4U38R3fiqFgfd6tBGO7s+VaQBJfKXESkgLDOxuD//VfCmv0NZ8226b4uLKFNZS4iko9Zpg//sT04rq2DvcwNRN79T83G8yGdYFdEJJ8yz8eRtPJ5klf9C/+powAq8nxKM3MRkXzIe+B7PJvmgQXuNkOwl6gQ7EiSg1TmIiL5jGfzQry7vsAWVZnwtkOwFYkO/CAJaSpzEZF8xlbsGlx1O+Fq3B3Dph/zBYH+lUVEQpxlWXj3bsBwheOs0hRXjdbBjiS5TAfAiYiEMCslEc+Xr5Hy9QJ8B7cFfoDkS5qZi4iEKN+J3/Csm4WVeIawJr1x1ukY7EgSJCpzEZEQZJ75neSVz2FEliTizrHYoysHO5IEkcpcRCSEWH4vht2JrVhZ3Lfci6NyYwxXeLBjSZDpM3MRkRDhO7yDxA+ewB9/GABn9ZYqcgE0MxcRyfMsv5eU7xZd+O54iQoYDlewI0keozIXEcnDzDMnSF47E/PkYZw12xLWpI/KXC6iMhcRycO8+zdjJsTjbj8cZ6UGwY4jeZTKXEQkj7FSkzET4rGXqICrQVecN7bGVqh4sGNJHqYyFxHJQ/xxh0heOxP8Xgr1fQHD7sRQkUsAKnMRkTzAsky8P68hZetijPCiuNs8hGF3BjuWhAiVuYhIkFleD8lfvo7/6E4clRrgbnm/rjsuV0RlLiISbA4Xht1JWPN7cNZog2EYwU4kIUZlLiISBJbpI/XHT3FWa4EtsiTu2x5RictVU5mLiOQy83wcyevewIzZj+EMw1Wno4pcskRlLiKSi7wHtuLZ9BZY4G47FOf1TYIdSfIBlbmISC7x/voVno1zsUVXJrzNUGxFooIdSfIJlbmISA6zLBPDsOG4rhGu5LMXdqvb9ONXso+umiYikkMsyyJ1zzqSlk3B8qViuMIJq9dZRS7ZTu8oEZEcYKUk4tk4D9+hH7CXrwW+VNAFUiSHqMxFRLKZ78RveNbNwko8Q1iT3jjrdMQwtCNUco7KXEQkG1mWRcqW98CwEXHnWOzRlYMdSQoAlbmISDYwE09jOFwYYYUIb/cwRlghDFd4sGNJAaH9PiIiWeQ7vIOkJePxbH4PAFvhUipyyVWamYuIXCXL7yXlu0V4d32BrWQFXPXvCHYkKaBU5iIiV8E8F0vyF69hnjyMs9ZthN3UC0NHq0uQqMxFRK6G3Qm+FMI7/B1HxfrBTiMFXMDPzBMTE5k0aRIDBw7kzJkzTJgwgcTExNzIJiKSp1ipyaTs+AzLMrEVKk5Er6kqcskTApb5lClTKFKkCCdPniQsLIyEhAQmTJiQG9lERPIMf9xBEpdOJPX7xZgx/wHAsOkYYskbAr4T9+7dy4gRI3A4HISHh/PSSy+xd+/e3MgmIhJ0lmWSunMVScungN9HeJensJe5IdixRNIJ+Jm57S+/efr9/ovuExHJr1K+WoD3l404KjXA3fJ+DHdksCOJXCRgmTdu3JgXX3wRj8fDV199xcKFC7nppptyI5uISNBYloVhGDiqNsdW8lqcNdpgGEawY4lcUsAp9siRI4mIiKBw4cJMnz6datWqMXr06NzIJiKS6yzTR8rWxaRuXQyAo0xVXDXbqsglTws4M9+4cSMPP/wwDz/8cNp9y5Yt46677srJXCIiuc48H0fy2lmYsf/BWb1V2uxcJK/LsMzXrVuHz+dj2rRpWJaFZVkA+Hw+ZsyYoTIXkXzFe2Arnk1vgQXutkNxXt8k2JFEMi3DMt+7dy/ffvstJ0+e5O233/7fAxwO7r333tzIJiKSK8zE03jWz8FWsgLhbYZiKxIV7EgiVyTDMv9j1/rChQvp379/bmYSEckVZsIpbJElLpwApvOT2KIqYdh0YkwJPQHftb169eKLL75IO+ub3+/nyJEjjBgxIsfDiYjkBMuy8O5dT8qW93DfOhjn9U2wl64S7FgiVy1gmY8YMYKjR48SFxdHjRo1+Omnn/TVNBEJWZYnAc+mt/Ad+gF7hdrYr7kx2JFEsixgme/du5c1a9bw9NNPc99992GaJk8//XQuRBMRyV6+E7/hWTsTK/ksYU374KzdAcPQSbAk9AV8F0dHR+NwOKhUqRL79u3jhhtu4Pz587mRTUQkW1lJp8HuIOLOcbjq3K4il3wj4Mw8IiKClStXUr16dRYtWkTlypVJSkrKjWwiIllmJp7GH3sA53UNcVa+Cce19XTdccl3Av5aOmHCBPbu3Uvz5s2x2Wz87W9/Y9CgQZna+MqVK+nUqRPt27dn4cKFFy0/cOAA99xzD127dmXQoEGcPXv2yl+BiEgGfId3kLRkPJ5N87BSkwFU5JIvBSzzSpUq8cQTT2AYBi+//DLff/89jRs3DrjhmJgYpk+fznvvvceyZcv48MMP2b9/f9pyy7IYOnQogwcPZsWKFdx4443Mnj07a69GRASwfF48mxeSvPpljMgSFLpzHIYrPNixRHJMhmV+7Ngx/vGPfzB58mSSky/8RpuYmMjzzz+fqbO/bd68maZNm1KsWDEiIiLo0KEDq1atSlu+e/duIiIiaNmyJQBDhgzR99lFJMssv4/jC8bi3fUFzlq3EXHXeGzFygY7lkiOyvAz8zFjxlC1alViY2N54403aNOmDcOHD6dQoUK8+eabATccGxtLVNT/zqIUHR3Nzp07024fOXKEUqVKMWbMGPbu3UvlypUZP358Fl+OiBR0ht1B5I1NSa7bGUfF+sGOI5IrMizzEydO8Pbbb+PxeOjevTuLFi3i3nvv5f7778fhCHyGJNM0012g4K8XLPD5fGzdupV3332X2rVr8/LLL/P888/z/PPPZzp8yZLZc11hp8sOQFRU4WzZXkGnccw6jeGVMVOSiV89h8J12xJesSZEdadYsEPlA3ofZl1ujWGGrRwREQGA2+3m7NmzTJs2jRYtWmR6w2XKlGHbtm1pt+Pi4oiOjk67HRUVRcWKFalduzYAnTt3Zvjw4VcU/uTJBEzTuqLHXIo31Y/TZScuTl+5y6qoqMIaxyzSGF4Zf9xBktfOxDofh7dwBVwR12oMs4HGMOuycwxtNuOyE9hMfcmyRIkSV1TkAM2aNWPLli2cOnWK5ORk1qxZk/b5OED9+vU5deoUv/zyC3DhKm01a9a8oucQkYLLskxSd35O0vIp4PcR3uUpXLXaBTuWSFBkODP/8y7xzOxW/6vSpUszYsQIBgwYgNfrpWfPntSpU4fBgwczfPhwateuzWuvvca4ceNITk6mTJkyTJs27epehYgUOL4D20j59kMclRribnkfhjt7PnYTCUWG9ceFyv+iRo0auN1uADweT9rf//jse/v27bmXMgPZtZv9hYXbcbrsPN6rbjakKti0ay7rNIaXZ6UkYoQVwrJMfId34KhYP93kAzSG2UFjmHW5uZs9wyn3F198kS0BRESyg2X6SN32Md69G4noMQlbZEmclRoEO5ZInpBhmZcrVy43c4iIZMg8F0fyupmYsQdwVm+lXeoif3HlH4aLiOQi73++w7NpPhjgbjcMZ2Vdglnkr1TmIpKn+Q7vwFb8GsLbDsFWOCrwA0QKIJW5iOQ5/lNHwWbHXuwa3LfcC3Y7hk0/rkQyEvB75nFxcTz44IN06NCB+Ph4Bg0aRGxsbG5kE5ECxrIsUnevJenjSaRsfg8AwxmmIhcJIGCZT5o0iXbt2hEWFkbRokWpXr0648aNy41sIlKAWJ4EPF+8Sso372C/5kbcrR8MdiSRkBGwzI8fP07v3r2x2Ww4nU5GjRrF77//nhvZRKSAMM+cIPGjCfiO7CCsaV/CO47AFl4k2LFEQkbAfVeGYWCaZtrthISEdLdFRLLKKFwSe3RlXPXuwB51XbDjiIScgDPz9u3bM3LkSM6fP88HH3zAwIEDuf3223Mjm4jkY2biaZLXz8ZKTcKwOwm/7REVuchVCjgzHzJkCMuWLcM0TTZv3kyfPn3o1atXbmQTkXzKd/hHPBvmYvm9+KvdguOaG4MdSSSkBSzzDz74gM6dO3PXXXflQhwRyc8sv5eU7xbh3fUFtpIViWg7BFuxssGOJRLyAu5m/+6772jXrh1jxoxhx44duRBJRPKrlC3v4931Bc5atxFx1zgVuUg2CTgznz59OmfPnuWTTz5hypQpeDweevXqxcCBA3Mjn4iEOMuywO/FcLhw1euMo0IdHBXrBTuWSL4ScGYOULRoUfr06cNDDz1EREQEc+bMyelcIpIPWKnJeNa9QfLqV7AsE1tkCRW5SA4IODPfs2cPH330EatWraJGjRo88MADtGnTJjeyiUgI88ceIHntTKyEk7ga3gUWYAR6lIhcjYBlPmzYMHr06MHixYu55pprciOTiIQwyzLx7lxFytaPMAoVI7zLUzjK3BDsWCL5WsAyX79+PYahX6dFJJO8HlJ3fYmjYj3cre7HCCsU7EQi+V6GZd6vXz/ef/99GjRokK7MLcvCMAy2b9+eKwFFJDT4TuzDHlUZwxVBRLcJGOFFNREQySUZlvkrr7wCwCeffHLRMsuyci6RiIQUy/SR+v1SUn/6DNdNvQmr1wlbRLFgxxIpUDI8mj06OhqAiRMnUq5cuXR/Hn/88VwLKCJ5l3kujqQVU0n96TOc1W/FVattsCOJFEgZzsyHDx/OwYMHOXr0KF26dEm73+fz4XK5ciWciORdviM/kbx2FhjgbjcMZ+Wbgh1JpMDKsMyfeOIJjh8/zvjx4xk/fnza/Xa7nSpVquRKOBHJu4zIEtijKuFudT+2wlHBjiNSoGVY5uXLl6d8+fKsXr1aB7GICAD+k0fxHdpOWMM7sZeoQETnJ4MdSUTQ0ewikgmWZeHds46Ub9/HcBXCWaM1tvAiwY4lIv/vqo5mF5GCw/Ik4Nn0Fr5DP2CvUAf3rQ+oyEXymIBHs5coUYK4uDjKlSvHpk2beO2117TbXaSAsCyTpJXP4zuyg7CmfQnv+JiKXCQPCngGuKeeeooKFSpgs9l48803ueuuuxg/fjxz587NjXwiEgSWaYJhYBg2wm7qiRFRDHtUpWDHEpEMBLxq2tGjR/nHP/7B+vXr6datG48++ihnzpzJhWgiEgxmwimSP30B7+4vAXBUrKciF8njApa5z+cD4Ouvv6Zp06b4/X6SkpJyPJiI5D7foR9J/Gg8/rhDOqe6SAgJuJu9fv36dOrUCbvdToMGDRg4cCDNmjXLjWwikkssXyop332Id/dabCUrEt52KLZiZYIdS0QyKWCZjx8/nh9//JHq1atjs9kYNGgQLVu2zI1sIpJL/HEH8e5Zh7NWe8Ka9MKwO4MdSUSuQMAyt9vtxMbG8tFHH+H1emnevDk2W8C98yKSx1mWhXnyCPZSFXGUrUahXs9pNi4SogK28ty5c3njjTeoVq0aNWvWZP78+bz++uu5kU1EcoiVmoxn3Rskffw0/rhDACpykRAWcGa+bNky3n//fSIjIwHo2bMnvXv3ZtiwYTkeTkSynz/2AMlrZ2IlnMTVsBu2ktcGO5KIZFHAMgfSihygcOHCOByZepiI5DGpP68m5dtFGIWKEd7lKRxlbgh2JBHJBgF3s5crV44FCxbg9Xrxer3Mnz+fa665JjeyiUh2M00clepTqMczKnKRfCTgFHvSpEmMHDmSadOmAVC3bl1eeumlHA8mItnDd2wXmH4c19bFWacjTtApmUXymYBlXrp0ad555x2Sk5MxTZNChXQiCZFQYJk+Ur9fSupPn2EvUxV7hToqcZF8KsPd7IcOHaJHjx40aNCAYcOGkZSUpCIXCRHmuTiSVkwl9afPcFa/lfBO/1CRi+RjGZb5M888Q7du3Vi8eDEVK1ZM280uInmbeT6OxI8mYJ75HXe7Ybhb3ovhCAt2LBHJQRnuZo+Pj+dvf/sbACNHjuTOO+/MtVAicuUsy8IwDIzIUrjq3o7zhpuxFY4KdiwRyQUZzsz//PUzu92ur6OJ5GH+k0dI+ngS/tP/xTAMwhp0VZGLFCAZNrRlWelu6/M2kbzHsiy8u9eS8t0HGGGRkJIY7EgiEgQZlvmJEyeYMmVKhrfHjRuXs8lE5LIsTwKejXPxHf4Re4U6uG99AFt4kWDHEpEgyLDM+/fvf9nbIhJcqT+vxnd0J2FN++Gs3V57z0QKsAzL/JFHHsnNHCKSCZZpYiWdxhZZElf9LjgqN8auc6uLFHi6lqlIiDATTpL86QskrXwey5eC4XCpyEUEyOSFVkQkuLyHtuPZOBf8PtwtBuh74yKSjspcJA+z/D5Svn0f7+612EpVJLztUGxFdd1xEUkv4G520zR58803efLJJ0lISOCNN97A7/dnauMrV66kU6dOtG/fnoULF2a43oYNG2jTpk3mU4sUFIYN89RxnLU7EHHnOBW5iFxSwJn5tGnTOHXqFD///DMAX331FXFxcQG/mhYTE8P06dNZunQpLpeLvn370qRJE6pUqZJuvfj4eF544YUsvASR/MWyLLz7vsFevia2iGKE3zESw6adaCKSsYAz8y1btvD8888TFhZGZGQk8+bN45tvvgm44c2bN9O0aVOKFStGREQEHTp0YNWqVRetN27cOB05L/L/rNQkYpe/jGfDHLy7vgRQkYtIQAF/SjgcDmy2/3W+y+XK1KldY2NjiYr63+kko6Oj2blzZ7p13n77bWrUqEHdunWvJLNIvuSPPUDy2plYCSdxNeqOq17nYEcSkRARsJWrVq3KwoUL8fv9HDhwgPnz51O9evWAGzZNM91JLP64CMQf9u3bx5o1a5g/fz4nTpy4qvAlS0Ze1eP+yumyAxAVVThbtlfQaRyvXOKvW4lZ8RKOyOJED5iMu3zg/2NyeXofZp3GMOtyawwDlvnYsWOZOnUqJ0+epF+/frRo0SJTp3ItU6YM27ZtS7sdFxdHdHR02u1Vq1YRFxdHjx498Hq9xMbGcvfdd/Pee+9lOvzJkwmYphV4xQC8qX6cLjtxceezvK2CLiqqsMbxKlgRFXBWb0VY4x64y5fRGGaR3odZpzHMuuwcQ5vNuOwENmCZR0ZGMnXq1Ct+4mbNmjFjxgxOnTpFeHg4a9asYfLkyWnLhw8fzvDhwwE4duwYAwYMuKIiFwl1vmO7SN31JeG3PYLhjsTdYkCwI4lIiApY5n++uMqfBZqdly5dmhEjRjBgwAC8Xi89e/akTp06DB48mOHDh1O7du2rSywS4iy/j5TvP8K783NsxcthJZ/DiCwR7FgiEsIClnmxYsXS/u71elm/fj033XRTpjbepUsXunTpku6+OXPmXLRe+fLlWbduXaa2KRLKzHOxJK+dhRl3AOeNrQm7uR+GwxXsWCIS4gKW+V+/NjZ48GCGDh2aY4FE8ivLskhe9wbm2RO42z2Ms3LjYEcSkXziir/AGhkZSWxsbE5kEcmXLG8KAIYzDHerQRgOF7bCpYKcSkTyk4BlPnny5LSvlFmWxe7du6lcuXKOBxPJD/wnj+BZOxN76Rtwt7ofe/Frgh1JRPKhgGVevHjxdLe7du1K165dcyyQSH5gWRbe3WtJ+e4DjLBIHFWaBjuSiORjAcv8yJEjTJs2LTeyiOQLlicBz8a5+A7/iP3aurhbDcIWXiTYsUQkHwtY5r/88stFZ28TkYxZqUn4Y/YTdnM/nLXa6/+OiOS4gGUeFRXFHXfcQd26dSlUqFDa/Zk5C5xIQWGZfnwHvsdxfRNsRaIp1O9FDKc72LFEpIDIsMxTU1NxuVzUr1+f+vXr52YmkZBiJpzEs+4N/Cf2Ee6OxFG+lopcRHJVhmXep08fPv74Y12eVOQyvIe249k4F/w+3LcOxlG+VrAjiUgBlGGZW1bWL2Aikp+lbPuY1O3LsZWqSHjbodiKlgl2JBEpoDIs85SUFPbs2ZNhqdesWTPHQomEAnuZG3DW7kDYTT0x7M5gxxGRAizDMj969CiPPvroJcvcMAzWrl2bo8FE8hrLsvD+ugnLk0BYvTtwlK+l3eoikidkWOZVqlRh2bJluRhFJO+yUpPwbJqP78BW7OVrYdW5HcNmC3YsERHgKs7NLlLQ+GP/Q/LaWVgJJ3E17omrbicVuYjkKRmWeaNGjXIzh0ieZCafI2nlCxjhhYnoOgZ76SrBjiQicpEMy1wnhZGCzPJ6MJxubOFFCG83FHuZqhhhhQI/UEQkCLSvUOQvfEd/JvGDJ/Ae2g6Ao2J9FbmI5Gn6zFzk/1l+HynfL8G7cxW24uWxFSkd7EgiIpmiMhcBzHOxJK+diRl3EOeNrQm7uR+GwxXsWCIimaIyFwH8v/+KeTYGd7uHcVZuHOw4IiJXRGUuBZblTcEffwhH2Wo4qrag0LV1dd1xEQlJOgBOCiR//GGSlk4kedV0LE8ChmGoyEUkZGlmLgWKZVl4d39JyrcfYrgjCW8/HMMdGexYIiJZojKXAsMy/Xi+eBXf4R+xX1sXd6tBmo2LSL6gMpcCw7DZMYqWJuzmfjhrtccwjGBHEhHJFipzydcs00/q9hU4rq2DPfp63E37BjuSiEi2U5lLvmUmnMSz7g38J/aB6ccefX2wI4mI5AiVueRL3kM/4Nk4D0w/7tYP4ryhWbAjiYjkGJW55Du+Iz/hWTMDW6lKhLcdiq2oTssqIvmbylzyDcv0Ydgc2MvXJqz533BWvxXDrre4iOR/OmmMhDzLskj9ZSOJHz6FmXQWw2bDVbOdilxECgz9tJOQZqUm4dk0H9+BrdjL1QCsYEcSEcl1KnMJWf6Y/SSvm4WVcApX45646nXCMLSzSUQKHpW5hKzUnavAsojoOgZ76SrBjiMiEjQqcwkpZtIZMP3YIkvibnkfAEZYoeCGEhEJMu2TlJDhO7qTpCXj8ayfA1wocRW5iIhm5hICLL+PlO+X4N25Clvx8oS1uCfYkURE8hSVueRpZuJpktf8GzPuIM4bWxN2cz8MhyvYsURE8hSVueRphisCbHbc7R7GWblxsOOIiORJ+sxc8hzL6yFl6xIsbwqGM4yIrmNV5CIil6GZueQp/vjDJK+diXU2Blt0ZZyVGui64yIiAajMJU+wLAvv7i9J+fZDDHck4Z2fwHHNjcGOJSISElTmkiekfv8RqTs+wX5tPdy3DsLmLhzsSCIiIUNlLkFlWSaGYcNZvSVGRDGcNdtqt7qIyBXSAXASFJbpJ2XbUjxfvIZlWdiKROOq1U5FLiJyFTQzl1xnJpzEs+4N/Cf24ajaHEwf2J3BjiUiErJU5pKrvAd/wLNpHph+3K0fxHlDs2BHEhEJeSpzyTWW10PK1wuwFYkmvO1QbEWigx1JRCRfUJlLjjPPxWJElsJwugnv/CS2IqUx7HrriYhkFx0AJznGsixSf9lI4uJxpO78HAB78XIqchGRbJajZb5y5Uo6depE+/btWbhw4UXLv/zyS+688066du3KsGHDOHv2bE7GkVxkpSbhWTuTlE1vYS9TBWfV5sGOJCKSb+VYmcfExDB9+nTee+89li1bxocffsj+/fvTlickJPD0008ze/ZsVqxYQbVq1ZgxY0ZOxZFc5I89QOJHE/Ad3Ibrpp6EdxqJLaJYsGOJiORbOVbmmzdvpmnTphQrVoyIiAg6dOjAqlWr0pZ7vV4mTpxI6dKlAahWrRq///57TsWR3GazE9F1DGH1OmMY+jRHRCQn5dhP2djYWKKiotJuR0dHExMTk3a7ePHi3HbbbQB4PB5mz55Nu3btciqO5DAz6Qype9YDYI+uTKFeU7GXrhLkVCIiBUOOHYlkmma6s3lZlnXJs3udP3+ehx9+mOrVq9OtW7creo6SJSOznBPA6bIDEBWl84FfjaT924ldOQPLm4KvfnOiokoGO1LI03sx6zSGWacxzLrcGsMcK/MyZcqwbdu2tNtxcXFER6f/XnFsbCyDBg2iadOmjBkz5oqf4+TJBEzTynJWb6ofp8tOXNz5LG+rILH8PlK2Lsb782psJcoTfsdQHEVKahyzKCqqsMYwizSGWacxzLrsHEObzbjsBDbHdrM3a9aMLVu2cOrUKZKTk1mzZg0tW7ZMW+73+xkyZAi33347Y8eO1Tm5Q4xlWSR/9iLen1fjrNGGiLsmYC9eLtixREQKpBybmZcuXZoRI0YwYMAAvF4vPXv2pE6dOgwePJjhw4dz4sQJ9uzZg9/vZ/Xq1QDUqlWLZ599NqciSTYyDANn9VY4a7XHeV3DYMcRESnQcvTsHV26dKFLly7p7pszZw4AtWvX5pdffsnJp5dsZnk9eL55B0fZ6jir3aLzqouI5BE6FZdkij/+MMlrZ2Kdi8FWtGyw44iIyJ+ozOWyLMvCu+sLUr5bhBFemPA7nsRxTfVgxxIRkT9RmctlmTH7SdnyHvZr6+G+dRA2t76qIiKS16jM5ZLMpDPYIophL3MD4Z2fxF62ur5xICKSR+k8m5KOZfpJ2baUxPdH4o87BIDjmhtV5CIieZhm5pLGTDiJZ+0s/DG/4ajaAluxMsGOJCIimaAyFwC8B7fh2TgPLBN3m4dwVrk52JFERCSTVOYCgHnyKLaipQlvOxRbkejADxARkTxDZV6A+U8dx0pJwFG2Gq4GXXHV74Jh11tCRCTU6AC4AsiyLFL3biDp40mkfPMulmVi2OwqchGREKWf3gWMlZKI56v5+A58j71cTdytB2MY+p1ORCSUqcwLEDPpDEnLJmMlnsF1Uy9cdW9XkYuI5AMq8wLECC+Ko2I9nDc0wx59fbDjiIhINtG0LJ8zk86QvGYG5rlYDMPA3fweFbmISD6jmXk+5juyE8+GOVjeFBxVm+srZyIi+ZTKPB+y/D5Sti7G+/NqbCUqEN52KPbi1wQ7loiI5BCVeT6U+tOneH9ejbNGW8Ka9sFwuIIdSUREcpDKPB+xUpMwXBG4anfEXuo6HNfWCXYkERHJBToALh+wvB6SN8whadkULF8KhjNMRS4iUoBoZh7i/PGHSV47E+tcDK76XcGmf1IRkYJGP/lDlGVZeHetIeW7xRjhhQm/40kc11QPdiwREQkClXmosvx493+LvXwtwm99AMMdGexEIiISJCrzEOP77y/YS5THcEcS0WkkuCIwDCPYsUREJIh0AFyIsEw/Kd9/RPInL5CyfTkARlghFbmIiGhmHgrM8/Ekr5uFGbMfZ7VbCGvcM9iRREQkD1GZ53G+//5C8pp/g2XibjMEZ5WmwY4kIiJ5jMo8j7MVK4u9zA24m/XXudVFROSS9Jl5HuQ/dRzPV/OxTBNbRFEiOo5QkYuISIY0M89DLMvC+8tGUja/h+Fy46rdEaNYmWDHEhGRPE5lnkdYKYl4Nr2F7+A27OVq4m49GFtEsWDHEhGREKAyzyOSv3gV/+/7cN3UG1fdjhiGPgEREZHMUZkHkWWZYJoYdgdhTXqDZWKPvj7YsUREJMSozIPETDqDZ/1sbMXL4W7WH3vUdcGOJCIiIUplHgS+IzvxbJiD5U3BcX2TYMcREZEQpzLPRZbfR8rWxXh/Xo2tRAXC2w7FXvyaYMcSEZEQpzLPRVZCPN6963HWaEtY0z4YDlewI4mISD6gMs8Fvt9/xV6mKraiZSjU+3lskSWCHUlERPIRff8pB1mpySSvn03yyufwH9kBoCIXEZFsp5l5DvHHHSJ53Uysc7G4GtyJvUKdYEcSEZF8SmWeA1L3rCdl87sY4UUIv+NJHNdUD3YkERHJx1TmOcCIKIKjQh3crQZhuCODHUdERPI5lXk28R3fg3kuFteNt+Ks1BBHxQYYhhHsWCIiUgCozLPIMv2kbvuY1B2fYitRDme1Fhg2h4pcRERyjco8C8zz8SSvm4UZsx9ntVsIa/Y3DJuGVEREcpea5ypZKYkkLX0ay/ThbjMEZ5WmwY4kIiIFlMr8ClmmiWGzYYQVIqxJb+zXVMdWJDrYsURCjt/v4/TpOHy+1GzfdmysDdM0s327BYnGMOuudgwdDhfFi0dht2e+olXmV8B/6jiedTMJa9oPR/maOKu3DHYkkZB1+nQcbncEhQqVyfZjTBwOGz6fiigrNIZZdzVjaFkWiYnnOH06jlKlymb+ua40XEFkWRbevRtI2fIehiscdHCbSJb5fKk5UuQiocwwDAoVKkJCwpkrepzKPAArJRHPprfwHdyGvXwt3LcOxhZRNNixRPIFFbnIxa7m/4XOzR6A9+A2fId+JKxJb8Jvf1xFLpIPbd++jUceeTBbtnXvvXdfdvmjjz6U6XV79uzC3/7Wi3vvvZt7772bnj27MG7cEyQnJ2dL1qyKj49j5Mjh2bKtpKRExo4dhWVZafeNHTuKgQP7plvvUv9Wv//+X3r27JJ2+8iRQzz55AgGDuzLgAF9ePrpsZw5c+aqs33//XcMHNiXvn27MXv265dcZ8+eXTzwwAAGDuzLE088xsmT8QAcPXqERx55kAED+vDoow9x5MhhAD78cCHffPPVVWf6K5X5JVimif/UcQCc1VoS0XMyrrqdMAwNl4hc3vz57112+Y8//pDpdQFefPEV5s9/j/nz3+P995cSE3OCVas+zXLO7FCqVBQvvfTvbNnWvHlz6Nq1e9qs9MyZM+zbt4/w8Ah+/vmnTG8nPj6ORx8dQpcu3Viw4AMWLPiAypWvZ8yYkVeVKyXFw3PPPcNzz/2Td99dzC+/7GHLlm/SrWNZFuPGPcmwYcNZsOADOnS4g2nTngVg6tRJdOrUhbff/pCHHnqECROeAqB7994sWDCX1NTsOQA0R3ezr1y5kpkzZ+Lz+Rg4cCD9+/dPt3zv3r2MHTuWxMREGjVqxKRJk3A4grvn30w8jWf9bPxxhyjU53lsEUWxF78mqJlEJHjefnsea9Z8js1mo3HjpgwbNhy73c7ixR/w0UcfEhlZmIoVK3LNNeUZNOghWrRoxNdfb2Pbtq28/vq/MQyDwoUL8/TTU5k/fw4AgwcPZM6cBWnrnjt3lueem8yRI4dwOl08+ugIGjZsfFGWhITzJCQkUKRIEQC+/XYzc+fOwufzUbZsOZ58cixFixZj+/ZtvPzyi9jtdmrWrMOhQwd49dXZPPLIgxQpUpSDB//DM888x8mTJy/5+FdffZlt277DMAxuueVW7r//wUu+nuTkJB599CGWLFnJqVMnef75ycTEnMBut/Pggw/TtGkz5s59g/j4OI4ePUJMzAk6d76TgQMHpXtdiYkJfPPNJoYN+98sf82az6lXrz6VK1dh2bKPqF27bqb+vT7+eAkNGzamRYsLBygbhkH//gMpW/YafD5fuo55443XLirm9u07cvfdA9Ju79mzmwoVruWaa8r9//LbWb/+S26+uXnaOmfOnCE1NYUGDRoB0Lz5LUyePJ7U1FR+++1XWrduB0CtWrWJj4/j+PFjlCtXnjp16vHFF6u4446umXptl5NjU82YmBimT5/Oe++9x7Jly/jwww/Zv39/unVGjRrFhAkTWL16NZZlsWjRopyKkym+IztI+mgC/tj/4G52N0Z4kaDmEZHg2rLlG77+ehNvvvkO8+Yt5Pjxoyxb9hH79//G0qWLmDv3HV57bQ5Hjx696LELFsxl1KinmDv3HRo3bsK+fb/w2GOjAJgzZ0G6defMmUX58hVYuHAJ48c/k25X7qhRf2fgwL506dKekSP/To8evWnT5jZOnz7NrFmv8s9/vspbb73HTTc1ZebMGfh8PqZMmciECVN46633LpogXX99Fd5/fymlSkVf8vEnTvzOt99u5t13P2TmzHkcOnSQlJSUS76eP5s+/UUaNGjEggUfMHnyCzz33DOcOnUSgP37f2P69NeYPXs+7767gPPnz6d77A8/bKNKlarYbP+rpM8+W0mbNu1o06YdGzas5dy5s5n6N/vtt1+pWrVauvvsdju33dbxorF46KGH0/Z6/PHnz0UOF2b6JUuWSrtdsmQp4uJi061TrFgx3O5wtm79FoAvv1yNz+fj7NmzVK1anS+/XA3Atm1bOXfubNq41KtXn6+/3pSp1xVIjk2DN2/eTNOmTSlWrBgAHTp0YNWqVTzyyCMAHD9+HI/HQ7169QDo3r07//73v7n77st/hpQjLIumSRtIXvUjthIVCG83FHsxzcZFctM3P//O1zt/z5ZtGQb86aNXWtQpS/Pamf+azx9++OF72rXrgNvtBuCOO7ry+eef4vWm0qzZLRQqdOFCSu3adeD8+XPpHtuiRUvGjBnFLbe04pZbWtG4ccYnltqx4wcmTrywW/b666vwxhtvpS178cVXKFv2GjZsWMuMGdNp3bodhmGwZ88uYmJOMHz4EABM00+RIkX5z3/2U6xYcapUuSEt8yuvvJS2vRo1agFk+PhSpaIICwtj8OD7aNasBUOHPkpYWNglX8/vv/83bbvbt3/Pk0+OA6BcufLUqFGLPXt2AdCgQSOcTifFi5egSJEiJCYmULhw4bTHHjt2hOjo/52v47fffiUuLobGjZvicDioWrUan3/+CX369E9X+H+wLCvtY1DDMHC5wjIc6z/LzMz8wrbTPdtFH7kahsGUKdN49dXpzJz5bzp06ETRokVxOh2MHfs006dPY8mSD2natBlVqtyA0+kEoHTpshw7diRTWQPJsTKPjY0lKioq7XZ0dDQ7d+7McHlUVBQxMTFX9BwlS2bPFck63VKZkru+o0jZ2ynRdgA2hytbtltQRUUVDrySXFZBGMPYWBsOx/9+KNrtRrZ+6/PP27LbjXTP9Vd2uw3DuNQ6VrrH2mwGpunH6XRgGFba/Xa7gc32v/UcDhv9+99Dy5at+Oabr5g5cwa//LKH++57IG35HxwOG06nE4fjf+Nx6NBBrr22Ylo2h8NGu3a3sW3bdzz//GSmT5+BYVjUrVuPl156GYCUlBSSk5OIi4sDrHRZ/nhthmEQERH+/3+/9OPdbhfz5r3Njz/+wObN3zBkyP3MnDnnkq+nQ4dOac9hWRYOx//G4MIvVCY2m4HbHfan+9OP1R+v8Y8xgAuzcq/XS9++3QBISkpixYqP6d//HooVK0piYkK6x587d4YiRQrjcNioUaMm+/btTbfcNE2eemoUTzwxhpIlS6bd//DDj/Lww49m+L4AKFOmDCdPnkzb3pkzp4iOjrrovRIW5mTWrDcBOHXqFAsWzKVIkaKcPXuWF1+cjtPpxOfzsmLFUipUKI/DYSMszInNZrvke9Nms13Rz4EcK3PTNNMdXn/htxsj08sz4+TJBEzTCrxiALUrFqdUw1HExydy8nQKkJLlbRZUUVGFiYs7H3hFyVBBGUPTNNOdUKNpjTI0rVEmW7Z9qZN1XO7kHX6/iWVZF61Tv34jFiyYS+fOd2G3O1i5cjn16zekfv1GLFnyBPfd9yAuVxjr1q2lYcPGaY/3+UwGDx7IqFFP0bNnPwoVKszXX2/E5zOx2+14PKlpu3x9PpM6deqzevUqKlW6nsOHD/GPfzzK4sUr0rL9sd1Bg4bQp083Nm3aRLVqNdi16xkOHLhQ/G++OZv4+DieeGIs586d49df93H99VX4/PPP0p7Hsqy07WX0+F69+jJ9+ovMnDmHevUa8euvv3DgwEEmThx30etp165j2rYbNGjEsmUf07fv3zh+/Bg7d+7g8cdHs2/fvovG/8+vCaBs2fLs3r0bn8/E6/WyZs3nTJ/+OjVrXtiLkJiYQPfud7B161bq1q3P2bNn+emnndSsWQvTNFm+/GMaNrwJn8+kc+e7uPfeu/nqq03cfHMLLMvirbfmcOrUKYoWLX7FJ3GpVq0GR44c5tChw5Qtew2rVl34jPuv25k8+WlGjXqKG2+sycKF73Drre2w2Wy8/voM2rbtQJs27Vi27GOqV69BoUJF8PlMjh07TrlyFS6ZyTTNdD8HbDbjshPYHCvzMmXKsG3btrTbcXFx6XajlClT5v9/g7wgPj4+3fLcpiPVRQq2nTt3cNttt6Tdbt/+dkaNGsNvv/3KoEED8Pt93HRTU3r06IPD4aBnz7489ND9hIeHU6xYMcLC0u/afeihh3n22UnY7XYiIiLSdkG3aNGSe++9m7lz30lbd9Cgh3jhhSkMHNgPu93O+PHPXHJyU7x4Cfr3H8Drr7/C/PnvM3r0BCZMeArT9BMVVZoJE57B6XQyfvxkpkyZgGHYuPbaihdlgwuf/V7q8UWLFqNWrTr079+bsLAwateuS9OmzXC73Zd8PX947LFRTJv2LJ99thLDMHjyyXGUKlXqoue9lEaNbmLGjOmYpsnXX2+kdOmyaUUOUKhQJJ0738Xy5R/RoEEjnnnmef7973+SkpJCSoqHhg0bc//9D6a9rpde+jevv/4KM2fOwDRNqlatznPP/TNTWf4qLCyMMWMmMnbsE6SmpnDzzc1p3botAM8/P5kWLVrSokUrRo4czYsvTsXj8XD99Tfw1FPjARg6dDhTpkxk3rzZREVFMXbs02nb3r59G7fc0uqqcv2VYf35S33ZKCYmhn79+rFkyRLCw8Pp27cvkydPpk6dOmnrdO7cmUmTJtGwYUPGjx9PxYoVeeCBBzL9HNk1M4eCMxvKaRrHrCsoY3jixGHKlKmYI9vO6VORHjlymC1bvqZPnwvf0Bk9+nE6d74r7QjqYDJNk1mzZnDffQ8SHh7OBx+8S1xcHI8+OuKKtpPbp3OdMeNfNGjQmObNbwm8coi43Bh6vV4eeug+Zs2ah8t18Ue7f/3/EbSZeenSpRkxYgQDBgzA6/XSs2dP6tSpw+DBgxk+fDi1a9fmpZdeYty4cSQkJFCzZk0GDBgQeMMiIkFWpkxZ9u7dwz339MYwDG666eY8U0I2m43ChYsyePAAHA4nZcuWZfTo8cGOFdB99z3Is88+TbNmLQrEmQEXL/6Ae+994JJFfjVybGaeGzQzz3s0jllXUMYwlGfmBYHGMOuyMoZXOjPXB8UiIiIhTmUuIiIS4lTmIhI0Ifwpn0iOuZr/FypzEQkKh8NFYuI5FbrIn1iWRWLiORxXePIyXc9cRIKiePEoTp+OIyHhTLZv22azYZo6eCsrNIZZd7Vj6HC4KF48KvCKf37MFT+LiEg2sNsdlCp15edLz4yC8o2AnKQxzLrcHEPtZhcREQlxKnMREZEQF9K72W227D1LUHZvr6DSOGadxjDrNIZZpzHMuuwaw0DbCekzwImIiIh2s4uIiIQ8lbmIiEiIU5mLiIiEOJW5iIhIiFOZi4iIhDiVuYiISIhTmYuIiIQ4lbmIiEiIU5mLiIiEuAJX5itXrqRTp060b9+ehQsXXrR87969dO/enQ4dOjB27Fh8Pl8QUuZtgcbwyy+/5M4776Rr164MGzaMs2fPBiFl3hdoHP+wYcMG2rRpk4vJQkegMTxw4AD33HMPXbt2ZdCgQXovXkKgMdy9ezc9evSga9euPPTQQ5w7dy4IKfO+hIQEOnfuzLFjxy5aliu9YhUgJ06csFq3bm2dPn3aSkxMtLp06WL99ttv6da54447rB9//NGyLMt66qmnrIULFwYhad4VaAzPnz9vNW/e3Dpx4oRlWZb18ssvW5MnTw5W3DwrM+9Fy7KsuLg4q2PHjlbr1q2DkDJvCzSGpmla7du3tzZu3GhZlmW9+OKL1rRp04IVN0/KzPuwX79+1oYNGyzLsqznnnvO+te//hWMqHnajh07rM6dO1s1a9a0jh49etHy3OiVAjUz37x5M02bNqVYsWJERETQoUMHVq1albb8+PHjeDwe6tWrB0D37t3TLZfAY+j1epk4cSKlS5cGoFq1avz+++/BiptnBRrHP4wbN45HHnkkCAnzvkBjuHv3biIiImjZsiUAQ4YMoX///sGKmydl5n1omiaJiYkAJCcn43a7gxE1T1u0aBETJ04kOjr6omW51SsFqsxjY2OJiopKux0dHU1MTEyGy6OiotItl8BjWLx4cW677TYAPB4Ps2fPpl27drmeM68LNI4Ab7/9NjVq1KBu3bq5HS8kBBrDI0eOUKpUKcaMGUO3bt2YOHEiERERwYiaZ2XmfTh69GjGjRtHixYt2Lx5M3379s3tmHnes88+S6NGjS65LLd6pUCVuWmaGMb/LiNnWVa624GWS+bH6Pz58zz44INUr16dbt265WbEkBBoHPft28eaNWsYNmxYMOKFhEBj6PP52Lp1K/369ePjjz+mQoUKPP/888GImmcFGkOPx8PYsWOZP38+X3/9NXfffTdPPvlkMKKGrNzqlQJV5mXKlCEuLi7tdlxcXLrdIn9dHh8ff8ndJgVZoDGEC7+J3n333VSrVo1nn302tyOGhEDjuGrVKuLi4ujRowcPPvhg2pjK/wQaw6ioKCpWrEjt2rUB6Ny5Mzt37sz1nHlZoDHct28fYWFh1KlTB4A+ffqwdevWXM8ZynKrVwpUmTdr1owtW7Zw6tQpkpOTWbNmTdrnaQDlypUjLCyMH374AYDly5enWy6Bx9Dv9zNkyBBuv/12xo4dqz0bGQg0jsOHD2f16tUsX76c2bNnEx0dzXvvvRfExHlPoDGsX78+p06d4pdffgFg3bp11KxZM1hx86RAY1ixYkVOnDjBgQMHAFi7dm3aL0eSObnWK9l+SF0et2LFCuuOO+6w2rdvb82ePduyLMt64IEHrJ07d1qWZVl79+61evToYXXo0MF6/PHHrZSUlGDGzZMuN4Zr1qyxqlWrZnXt2jXtz5gxY4KcOG8K9F78w9GjR3U0ewYCjeGOHTusHj16WJ06dbLuv/9+Kz4+Pphx86RAY7hhwwarS5cuVufOna2BAwdaR44cCWbcPK1169ZpR7Pndq8YlmVZ2f8rgoiIiOSWArWbXUREJD9SmYuIiIQ4lbmIiEiIU5mLiIiEOJW5iIhIiHMEO4BIQVGtWjWqVq2Kzfa/36Fr1ap12RPrLF26lNWrV/PGG29k+flnzJjBwoULKV26NIZh4Pf7KVmyJBMnTuS666674u3FxMTw97//nQ8++ICjR48ybdo0ZsyYke7+rDp27Bi33XYbVatWTbsvKSmJMmXKMHXqVCpUqHDZx7/66qtUr15dpxSWfE9lLpKLFixYQIkSJYL2/J06dWLChAlpt9955x3+8Y9/sHTp0iveVunSpdMK+7///S8HDx686P7s4Ha7Wb58edpty7KYMmUK06dP51//+tdlH/vdd99RpUqVbMsikldpN7tIHrBkyRJ69erFXXfdRevWrS95trc1a9bQrVs3unfvTq9evfj++++BC+fBHz16NN27d6dLly5MnTo109dLvvnmm9NK+MSJEwwZMoQuXbrQuXNn3nzzTeDCOc4nTpxIly5d6N69O8OHDycxMZFjx45Rv359/H4/48aN48iRIwwaNCjd/a1atWLXrl1pz/fYY4+lvbaZM2fSrVs37rzzToYNG5bpi0+kpKQQGxtL0aJFATh48CD33XcfvXv3pnXr1gwdOpSUlBQWLlzIrl27mDZtGl988QWpqalMnTqVbt260bVrV0aPHk1CQkKmnlMkr1OZi+SigQMHcuedd6b9OXnyJImJiSxevJjZs2ezbNkypk+fzosvvnjRY6dNm8bEiRNZunQpf//73/nuu+8AmDp1KjVr1mTp0qUsW7aM06dP89ZbbwXM4vP5WLJkCU2aNAFg5MiRNGnShJUrV/L++++zYsUKPv30U3bs2MHWrVtZsWIFS5cupUKFCvz6669p27Hb7UyZMoVrr72WuXPnpru/R48eabP+s2fPsmXLFrp06cKyZcvYt28fixcvZvny5bRq1Ypx48ZdMqfH4+HOO++kS5cuNGvWjG7dulG5cmVGjhwJXLj85F133cWiRYtYs2YNx44dY8OGDfTv359atWrxxBNPcNtttzF79mzsdjtLly5lxYoVREdH89JLL2XyX04kb9NudpFclNFu9lmzZrFx40YOHTrEL7/8QlJS0kXr3HHHHTzyyCO0atWK5s2bM3jwYAA2bNjAzz//zJIlS4AL5ZeRzz77LO0c0V6vl5o1azJ58mSSkpLYvn078+bNA6Bw4cJ0796dTZs2MXbsWOx2O7169aJFixZ06NCBOnXqcOzYsYCvt0ePHvTs2ZPRo0fzySef0KZNGwoXLsz69ev5+eef6dGjB3DhylLJycmX3Mafd7N/9dVXjBo1itatW1OoUCEARo0axTfffMOcOXM4dOgQsbGxlxy/DRs2cP78eTZv3pz2+kuWLBnwNYiEApW5SJCdOHGCPn360Lt3bxo2bEjHjh1Zv379ReuNGDGCHj168M0337B06VLmzZvHkiVLME2TV155heuvvx6Ac+fOZXiBm79+Zv6HhIQE/npmZ9M08fl8FClShOXLl7N9+3a+/fZbHnvsMQYNGkSrVq0CvrZy5cpRo0YNNmzYwNKlSxkzZkzath944IG0K8GlpqZy9uzZgNu75ZZbuO+++/j73//Op59+SmRkJI8//jh+v5/bb7+dW2+9ld9///2i1/LHc44ZMyYtd2JiIikpKQGfUyQUaDe7SJDt2rWLEiVKMGzYMFq0aJFW5H6/P20dn89HmzZtSE5Opl+/fkycOJFff/2V1NRUWrRowfz587Esi9TUVIYOHcq77757RRkiIyOpW7cuCxcuBC58Dr9s2TKaNWvG+vXruffee6lfvz6PPvood911V7rPweHCLnWv13vJbffu3Zs5c+aQnJxMw4YNAWjRogVLlixJ+8z6lVde4YknnshU1vvvv59ChQrx73//G4Cvv/6ahx9+mE6dOgHw008/pY2d3W5PO36gRYsWLFy4kNTUVEzTZPz48QEPoBMJFZqZiwRZ8+bNWbJkCR07dsQwDG666SZKlCjB4cOH09ZxOByMGTOGkSNH4nA4MAyDqVOn4nK5GDt2LM8++yxdunTB6/XSrFkzHnjggSvO8dJLL/HMM8+wdOlSUlNT0w54M02TTZs20blzZyIiIihatCiTJ09O99gqVaoQFhZGz549mT59erplbdq0YdKkSWkfCwD06tWLmJgYevfujWEYlC1blueffz5TOZ1OJ+PHj+eBBx6gZ8+ejBgxgocffpiIiAgiIyNp3LgxR44cSXvuf/3rX3i9XoYNG8YLL7xAt27d8Pv93HjjjYwePfqKx0kkL9JV00REREKcdrOLiIiEOJW5iIhIiFOZi4iIhDiVuYiISIhTmYuIiIQ4lbmIiEiIU5mLiIiEOJW5iIhIiPs/1VmRal7CiE4AAAAASUVORK5CYII=",
+      "text/plain": [
+       "<Figure size 576x432 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# ROC-Kurve, AUC\n",
+    "fig, ax = plt.subplots(figsize=(8,6))\n",
+    "ax.set_title('ROC Kurve')\n",
+    "plot = metrics.plot_roc_curve(logistic_model, X_test, y_test, ax=ax);\n",
+    "ax.plot([0,1], [0,1], '--');"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Der AUC der ROC-Kurve ergibt einen guten Wert von 0,84. Daraus lässt sich schließen, dass durch die Optimierung des Schwellenwertes Optimierungspotenzial besteht."
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 4.3. Interpretation"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Zunächst sollen jedoch die Ergebnisse für das Unternehmen veranschaulicht werden und es soll geklärt werden, welche Kunden zur Abwanderung führen und welche gegen eine Abwanderung sprechen."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 201,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "InternetService_Fiber optic       3.115901\n",
+       "StreamingMovies_Yes               1.439381\n",
+       "PaymentMethod_Electronic check    1.310265\n",
+       "StreamingTV_Yes                   1.219198\n",
+       "PaperlessBilling                  1.216093\n",
+       "MultipleLines_Yes                 1.098867\n",
+       "SeniorCitizen                     0.395488\n",
+       "Dependents                       -0.732812\n",
+       "TechSupport_Yes                  -0.835712\n",
+       "PhoneService                     -1.207319\n",
+       "OnlineSecurity_Yes               -1.744166\n",
+       "InternetService_No               -2.846463\n",
+       "tenure                           -2.924275\n",
+       "Contract_One year                -3.457173\n",
+       "Contract_Two year                -6.329852\n",
+       "dtype: float64"
+      ]
+     },
+     "execution_count": 201,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Read out regression coefficients and thus find out importance of individual attributes\n",
+    "weights = pd.Series(logistic_model.coef_[0],\n",
+    " index=X_train.columns.values)\n",
+    "weights.sort_values(ascending = False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 202,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "AxesSubplot(0.125,0.125;0.775x0.755)\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Graphical representation of key features that lead to churn.\n",
+    "weights = pd.Series(logistic_model.coef_[0],\n",
+    "                 index=X_train.columns.values)\n",
+    "print (weights.sort_values(ascending = False)[:7].plot(kind='bar'))"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Die drei Hauptmerkmale, die zur Abwanderung führen, sind:\n",
+    "\n",
+    "- Der Glasfaserdienst (InternetService_Glasfaser),\n",
+    "- Die Online-Zahlungen (PaperlessBilling) und\n",
+    "- Das Abonnement des zusätzlichen Filmstreamingdienstes (StreamingMovies_Yes).\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 203,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "AxesSubplot(0.125,0.125;0.775x0.755)\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Most important features that keep customers from churning\n",
+    "print(weights.sort_values(ascending = False)[-8:].plot(kind='bar'))"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Die drei wichtigsten Merkmale, die Kunden von der Abwanderung abhalten, sind:\n",
+    "\n",
+    "- Die Verträge, die für zwei Jahre gekündigt werden können (Contract_Two year),\n",
+    "- Die Zeit, die man Kunde eines Unternehmens ist (Tenure) und\n",
+    "- kein Abonnement für den Internetdienst (InternetService_No).\n"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 4.4. Modell-Optimierung"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Die Recall-Rate ist als Zielmetrik zu niedrig und muss daher erhöht werden. Daher werden die Metriken bei verschiedenen Schwellenwerten der logistischen Regression analysiert."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 204,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "******** For a Threshold about 0.05 ******\n",
+      "Accuracy: 0.8588235294117647\n",
+      "True Negatives: 367\n",
+      "False Positives: 128\n",
+      "False Negatives: 4\n",
+      "True Positives: 436\n",
+      "Recall: 0.990909090909091\n",
+      "Precision: 0.7730496453900709\n",
+      "\n",
+      "******** For a Threshold about 0.1 ******\n",
+      "Accuracy: 0.9144385026737968\n",
+      "True Negatives: 420\n",
+      "False Positives: 75\n",
+      "False Negatives: 5\n",
+      "True Positives: 435\n",
+      "Recall: 0.9886363636363636\n",
+      "Precision: 0.8529411764705882\n",
+      "\n",
+      "******** For a Threshold about 0.15 ******\n",
+      "Accuracy: 0.9422459893048128\n",
+      "True Negatives: 446\n",
+      "False Positives: 49\n",
+      "False Negatives: 5\n",
+      "True Positives: 435\n",
+      "Recall: 0.9886363636363636\n",
+      "Precision: 0.8987603305785123\n",
+      "\n",
+      "******** For a Threshold about 0.2 ******\n",
+      "Accuracy: 0.9657754010695188\n",
+      "True Negatives: 468\n",
+      "False Positives: 27\n",
+      "False Negatives: 5\n",
+      "True Positives: 435\n",
+      "Recall: 0.9886363636363636\n",
+      "Precision: 0.9415584415584416\n",
+      "\n",
+      "******** For a Threshold about 0.25 ******\n",
+      "Accuracy: 0.9786096256684492\n",
+      "True Negatives: 481\n",
+      "False Positives: 14\n",
+      "False Negatives: 6\n",
+      "True Positives: 434\n",
+      "Recall: 0.9863636363636363\n",
+      "Precision: 0.96875\n",
+      "\n",
+      "******** For a Threshold about 0.3 ******\n",
+      "Accuracy: 0.9818181818181818\n",
+      "True Negatives: 486\n",
+      "False Positives: 9\n",
+      "False Negatives: 8\n",
+      "True Positives: 432\n",
+      "Recall: 0.9818181818181818\n",
+      "Precision: 0.9795918367346939\n",
+      "\n",
+      "******** For a Threshold about 0.35 ******\n",
+      "Accuracy: 0.986096256684492\n",
+      "True Negatives: 490\n",
+      "False Positives: 5\n",
+      "False Negatives: 8\n",
+      "True Positives: 432\n",
+      "Recall: 0.9818181818181818\n",
+      "Precision: 0.988558352402746\n",
+      "\n",
+      "******** For a Threshold about 0.4 ******\n",
+      "Accuracy: 0.9871657754010695\n",
+      "True Negatives: 491\n",
+      "False Positives: 4\n",
+      "False Negatives: 8\n",
+      "True Positives: 432\n",
+      "Recall: 0.9818181818181818\n",
+      "Precision: 0.9908256880733946\n",
+      "\n",
+      "******** For a Threshold about 0.45 ******\n",
+      "Accuracy: 0.9893048128342246\n",
+      "True Negatives: 493\n",
+      "False Positives: 2\n",
+      "False Negatives: 8\n",
+      "True Positives: 432\n",
+      "Recall: 0.9818181818181818\n",
+      "Precision: 0.9953917050691244\n",
+      "\n",
+      "******** For a Threshold about 0.5 ******\n",
+      "Accuracy: 0.9882352941176471\n",
+      "True Negatives: 493\n",
+      "False Positives: 2\n",
+      "False Negatives: 9\n",
+      "True Positives: 431\n",
+      "Recall: 0.9795454545454545\n",
+      "Precision: 0.9953810623556582\n",
+      "\n",
+      "******** For a Threshold about 0.55 ******\n",
+      "Accuracy: 0.9882352941176471\n",
+      "True Negatives: 493\n",
+      "False Positives: 2\n",
+      "False Negatives: 9\n",
+      "True Positives: 431\n",
+      "Recall: 0.9795454545454545\n",
+      "Precision: 0.9953810623556582\n",
+      "\n",
+      "******** For a Threshold about 0.6 ******\n",
+      "Accuracy: 0.9893048128342246\n",
+      "True Negatives: 494\n",
+      "False Positives: 1\n",
+      "False Negatives: 9\n",
+      "True Positives: 431\n",
+      "Recall: 0.9795454545454545\n",
+      "Precision: 0.9976851851851852\n",
+      "\n",
+      "******** For a Threshold about 0.65 ******\n",
+      "Accuracy: 0.9893048128342246\n",
+      "True Negatives: 494\n",
+      "False Positives: 1\n",
+      "False Negatives: 9\n",
+      "True Positives: 431\n",
+      "Recall: 0.9795454545454545\n",
+      "Precision: 0.9976851851851852\n",
+      "\n",
+      "******** For a Threshold about 0.7 ******\n",
+      "Accuracy: 0.9903743315508021\n",
+      "True Negatives: 495\n",
+      "False Positives: 0\n",
+      "False Negatives: 9\n",
+      "True Positives: 431\n",
+      "Recall: 0.9795454545454545\n",
+      "Precision: 1.0\n",
+      "\n",
+      "******** For a Threshold about 0.75 ******\n",
+      "Accuracy: 0.9903743315508021\n",
+      "True Negatives: 495\n",
+      "False Positives: 0\n",
+      "False Negatives: 9\n",
+      "True Positives: 431\n",
+      "Recall: 0.9795454545454545\n",
+      "Precision: 1.0\n",
+      "\n",
+      "******** For a Threshold about 0.8 ******\n",
+      "Accuracy: 0.9893048128342246\n",
+      "True Negatives: 495\n",
+      "False Positives: 0\n",
+      "False Negatives: 10\n",
+      "True Positives: 430\n",
+      "Recall: 0.9772727272727273\n",
+      "Precision: 1.0\n",
+      "\n",
+      "******** For a Threshold about 0.85 ******\n",
+      "Accuracy: 0.9882352941176471\n",
+      "True Negatives: 495\n",
+      "False Positives: 0\n",
+      "False Negatives: 11\n",
+      "True Positives: 429\n",
+      "Recall: 0.975\n",
+      "Precision: 1.0\n",
+      "\n",
+      "******** For a Threshold about 0.9 ******\n",
+      "Accuracy: 0.9871657754010695\n",
+      "True Negatives: 495\n",
+      "False Positives: 0\n",
+      "False Negatives: 12\n",
+      "True Positives: 428\n",
+      "Recall: 0.9727272727272728\n",
+      "Precision: 1.0\n",
+      "\n",
+      "******** For a Threshold about 0.95 ******\n",
+      "Accuracy: 0.9807486631016042\n",
+      "True Negatives: 495\n",
+      "False Positives: 0\n",
+      "False Negatives: 18\n",
+      "True Positives: 422\n",
+      "Recall: 0.9590909090909091\n",
+      "Precision: 1.0\n",
+      "\n",
+      "******** For a Threshold about 0.99 ******\n",
+      "Accuracy: 0.9497326203208556\n",
+      "True Negatives: 495\n",
+      "False Positives: 0\n",
+      "False Negatives: 47\n",
+      "True Positives: 393\n",
+      "Recall: 0.8931818181818182\n",
+      "Precision: 1.0\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Testing the metrics at different thresholds\n",
+    "threshold_list = [0.05,0.1,0.15,0.2,0.25,0.3,0.35,0.4,0.45,0.5,0.55,0.6,0.65,.7,.75,.8,.85,.9,.95,.99]\n",
+    "pred_proba_df = y_hat\n",
+    "for i in threshold_list:\n",
+    "    print ('\\n******** For a Threshold about {} ******'.format(i))\n",
+    "    # Round up if value is above threshold\n",
+    "    y_test_pred = pred_proba_df.apply(lambda x: 1 if x>i else 0)\n",
+    "    # read metrics\n",
+    "    test_accuracy = metrics.accuracy_score(y_test, y_test_pred)\n",
+    "    print(\"Accuracy: {}\".format(test_accuracy))\n",
+    "    # Confusion matrix\n",
+    "    c = confusion_matrix(y_test, y_test_pred)\n",
+    "    tn, fp, fn, tp = c.ravel()\n",
+    "    recall = tp/(fn+tp)\n",
+    "    precision = tp/(tp+fp)\n",
+    "    # print metrics\n",
+    "    print(\"True Negatives: \" + str(tn))\n",
+    "    print(\"False Positives: \" + str(fp))\n",
+    "    print(\"False Negatives: \" + str(fn))\n",
+    "    print(\"True Positives: \" + str(tp))\n",
+    "    print(\"Recall: \" + str(recall))\n",
+    "    print(\"Precision: \" + str(precision))"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Ein Schwellenwert von 0,3 bietet ein besseres Ergebnis für die Anwendung. Er erhöht die Wiederauffindbarkeit auf ein zufriedenstellendes Niveau von 73,21 %, was zu Lasten der Präzision geht. Die Präzision ist jedoch vernachlässigbar."
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Daraus ergeben sich die folgenden Werte:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 205,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "              precision    recall  f1-score   support\n",
+      "\n",
+      "           0       0.98      0.98      0.98       495\n",
+      "           1       0.98      0.98      0.98       440\n",
+      "\n",
+      "    accuracy                           0.98       935\n",
+      "   macro avg       0.98      0.98      0.98       935\n",
+      "weighted avg       0.98      0.98      0.98       935\n",
+      "\n",
+      "Confusion matrix for the new threshold:\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 720x504 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      " \n",
+      "Metrics for the new threshold:\n",
+      "Accuracy: 0.9818181818181818\n",
+      "True Negatives: 486\n",
+      "False Positives: 9\n",
+      "False Negatives: 8\n",
+      "True Positives: 432\n",
+      "Recall: 0.9818181818181818\n",
+      "Precision: 0.9795918367346939\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Threshold about 0,3\n",
+    "y_test_pred = pred_proba_df.apply(lambda x: 1 if x>0.30 else 0)\n",
+    "test_accuracy = metrics.accuracy_score(y_test, y_test_pred)\n",
+    "c = confusion_matrix(y_test, y_test_pred)\n",
+    "# read values from confusion matrix\n",
+    "tn, fp, fn, tp = c.ravel()\n",
+    "recall = tp/(fn+tp)\n",
+    "precision = tp/(tp+fp)\n",
+    "print(classification_report(y_test,y_test_pred))\n",
+    "# create confusion matrix\n",
+    "print(\"Confusion matrix for the new threshold:\")\n",
+    "df_cm = pd.DataFrame(c, index=['No Churn','Churn'], columns=['No Churn', 'Churn'],)\n",
+    "fig = plt.figure(figsize=[10,7])\n",
+    "heatmap = sns.heatmap(df_cm, annot=True, fmt=\"d\")\n",
+    "heatmap.yaxis.set_ticklabels(heatmap.yaxis.get_ticklabels(), rotation=0, ha='right', fontsize=14)\n",
+    "heatmap.xaxis.set_ticklabels(heatmap.xaxis.get_ticklabels(), rotation=45, ha='right', fontsize=14)\n",
+    "plt.ylabel('True label')\n",
+    "plt.xlabel('Predicted label')\n",
+    "plt.show()\n",
+    "print(\" \")\n",
+    "# print metrics\n",
+    "print(\"Metrics for the new threshold:\")\n",
+    "print(\"Accuracy: {}\".format(test_accuracy))\n",
+    "print(\"True Negatives: \" + str(tn))\n",
+    "print(\"False Positives: \" + str(fp))\n",
+    "print(\"False Negatives: \" + str(fn))\n",
+    "print(\"True Positives: \" + str(tp))\n",
+    "print(\"Recall: \" + str(recall))\n",
+    "print(\"Precision: \" + str(precision))"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {
+    "include": true,
+    "paragraph": "Evaluation"
+   },
+   "source": [
+    "Erwartungsgemäß steigt die Rate der fälschlicherweise als abgewandert eingestuften Kunden. Im Gegenzug steigt aber auch die Anzahl der Kunden, die korrekt als Abwanderer vorhergesagt werden (True Positives). Wie in der Hausarbeit ausgeführt, ist dies essentiell, denn im Zweifelsfall würde ein Kunde fälschlicherweise vom Serviceteam angerufen werden und diesen Anruf sogar als guten Service wahrnehmen und längerfristig an das Unternehmen binden."
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {
+    "include": true,
+    "paragraph": "Deployment"
+   },
+   "source": [
+    "# 5. Deployment"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 206,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Separate individual (scaled) customer\n",
+    "customer_df = X_test.iloc[896]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 207,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "SeniorCitizen                     0.000000\n",
+       "Dependents                        0.000000\n",
+       "tenure                           -0.302393\n",
+       "PhoneService                      1.000000\n",
+       "PaperlessBilling                  0.000000\n",
+       "MultipleLines_Yes                 0.000000\n",
+       "InternetService_Fiber optic       0.000000\n",
+       "InternetService_No                1.000000\n",
+       "OnlineSecurity_Yes                0.000000\n",
+       "TechSupport_Yes                   0.000000\n",
+       "StreamingTV_Yes                   0.000000\n",
+       "StreamingMovies_Yes               0.000000\n",
+       "Contract_One year                 0.000000\n",
+       "Contract_Two year                 1.000000\n",
+       "PaymentMethod_Electronic check    0.000000\n",
+       "Name: 1544, dtype: float64"
+      ]
+     },
+     "execution_count": 207,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Overview about the customer\n",
+    "customer_df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 208,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# execute prediction\n",
+    "cust_pred = logistic_model.predict([customer_df])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 209,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# evaluate results\n",
+    "def check_prediction(pred):\n",
+    "    if pred[0] == 1:\n",
+    "        print(\"The customer will probably churn! Inform Customer Relationship Management!\")\n",
+    "    else:\n",
+    "        print(\"The customer probably will not churn.\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 210,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "The customer probably will not churn.\n"
+     ]
+    }
+   ],
+   "source": [
+    "check_prediction(cust_pred)"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Zusammenfassung"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Das Notebook hat gezeigt, wie eine logistische Regression verwendet werden kann, um die Abwanderung von Kunden im Telekommunikationssegment vorherzusagen."
+   ]
+  }
+ ],
+ "metadata": {
+  "category": "CRM",
+  "interpreter": {
+   "hash": "07673f924689cda9590af2124148040e2ce6fe7ee39bbd541ae69d9c32a71079"
+  },
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.3"
+  },
+  "skipNotebookInDeployment": false,
+  "title": "Customer Churn Prediction"
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
 }
diff --git a/CRM/Customer Satisfaction Airlines/notebook.ipynb b/CRM/Customer Satisfaction Airlines/notebook.ipynb
index 937ff01..f13d96a 100644
--- a/CRM/Customer Satisfaction Airlines/notebook.ipynb	
+++ b/CRM/Customer Satisfaction Airlines/notebook.ipynb	
@@ -1,4488 +1,4611 @@
 {
-    "cells": [
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "# 1. Business Understanding\n",
-                "\n",
-                "Der Datensatz besteht aus den Angaben von Kunden, die bereits mit ihnen geflogen sind. Das Feedback der Kunden zu verschiedenen Kontexten und deren Flugdaten wurde konsolidiert. Der Hauptzweck dieses Datensatzes besteht darin, vorherzusagen, ob ein zuk\u00fcnftiger Kunde angesichts der Details der anderen Parameterwerte mit seinem Service zufrieden sein w\u00fcrde. Auch die Fluggesellschaften m\u00fcssen wissen, auf welchen Aspekt der von ihnen angebotenen Dienstleistungen mehr Wert gelegt werden muss, um zufriedenere Kunden zu generieren."
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "# 2. Daten und Datenverst\u00e4ndnis\n",
-                "\n"
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "## 2.1 Import von relevanten Modulen"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 1,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "import numpy as np\n",
-                "import pandas as pd\n",
-                "import matplotlib.pyplot as plt\n",
-                "import seaborn as sn\n",
-                "import seaborn as sns\n",
-                "import statsmodels.api as sm\n",
-                "import warnings\n",
-                "import random as rnd\n",
-                "import sklearn as sk\n",
-                "# Removes the deprecated warnings\n",
-                "warnings.filterwarnings('ignore')"
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "## 2. Daten einlesen"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 2,
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "text/html": [
-                            "<div>\n",
-                            "<style scoped>\n",
-                            "    .dataframe tbody tr th:only-of-type {\n",
-                            "        vertical-align: middle;\n",
-                            "    }\n",
-                            "\n",
-                            "    .dataframe tbody tr th {\n",
-                            "        vertical-align: top;\n",
-                            "    }\n",
-                            "\n",
-                            "    .dataframe thead th {\n",
-                            "        text-align: right;\n",
-                            "    }\n",
-                            "</style>\n",
-                            "<table border=\"1\" class=\"dataframe\">\n",
-                            "  <thead>\n",
-                            "    <tr style=\"text-align: right;\">\n",
-                            "      <th></th>\n",
-                            "      <th>satisfaction</th>\n",
-                            "      <th>Gender</th>\n",
-                            "      <th>Customer Type</th>\n",
-                            "      <th>Age</th>\n",
-                            "      <th>Type of Travel</th>\n",
-                            "      <th>Class</th>\n",
-                            "      <th>Flight Distance</th>\n",
-                            "      <th>Seat comfort</th>\n",
-                            "      <th>Departure/Arrival time convenient</th>\n",
-                            "      <th>Food and drink</th>\n",
-                            "      <th>...</th>\n",
-                            "      <th>Online support</th>\n",
-                            "      <th>Ease of Online booking</th>\n",
-                            "      <th>On-board service</th>\n",
-                            "      <th>Leg room service</th>\n",
-                            "      <th>Baggage handling</th>\n",
-                            "      <th>Checkin service</th>\n",
-                            "      <th>Cleanliness</th>\n",
-                            "      <th>Online boarding</th>\n",
-                            "      <th>Departure Delay in Minutes</th>\n",
-                            "      <th>Arrival Delay in Minutes</th>\n",
-                            "    </tr>\n",
-                            "  </thead>\n",
-                            "  <tbody>\n",
-                            "    <tr>\n",
-                            "      <th>0</th>\n",
-                            "      <td>satisfied</td>\n",
-                            "      <td>Female</td>\n",
-                            "      <td>Loyal Customer</td>\n",
-                            "      <td>65</td>\n",
-                            "      <td>Personal Travel</td>\n",
-                            "      <td>Eco</td>\n",
-                            "      <td>265</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>...</td>\n",
-                            "      <td>2</td>\n",
-                            "      <td>3</td>\n",
-                            "      <td>3</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>3</td>\n",
-                            "      <td>5</td>\n",
-                            "      <td>3</td>\n",
-                            "      <td>2</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0.0</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>1</th>\n",
-                            "      <td>satisfied</td>\n",
-                            "      <td>Male</td>\n",
-                            "      <td>Loyal Customer</td>\n",
-                            "      <td>47</td>\n",
-                            "      <td>Personal Travel</td>\n",
-                            "      <td>Business</td>\n",
-                            "      <td>2464</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>...</td>\n",
-                            "      <td>2</td>\n",
-                            "      <td>3</td>\n",
-                            "      <td>4</td>\n",
-                            "      <td>4</td>\n",
-                            "      <td>4</td>\n",
-                            "      <td>2</td>\n",
-                            "      <td>3</td>\n",
-                            "      <td>2</td>\n",
-                            "      <td>310</td>\n",
-                            "      <td>305.0</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>2</th>\n",
-                            "      <td>satisfied</td>\n",
-                            "      <td>Female</td>\n",
-                            "      <td>Loyal Customer</td>\n",
-                            "      <td>15</td>\n",
-                            "      <td>Personal Travel</td>\n",
-                            "      <td>Eco</td>\n",
-                            "      <td>2138</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>...</td>\n",
-                            "      <td>2</td>\n",
-                            "      <td>2</td>\n",
-                            "      <td>3</td>\n",
-                            "      <td>3</td>\n",
-                            "      <td>4</td>\n",
-                            "      <td>4</td>\n",
-                            "      <td>4</td>\n",
-                            "      <td>2</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0.0</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>3</th>\n",
-                            "      <td>satisfied</td>\n",
-                            "      <td>Female</td>\n",
-                            "      <td>Loyal Customer</td>\n",
-                            "      <td>60</td>\n",
-                            "      <td>Personal Travel</td>\n",
-                            "      <td>Eco</td>\n",
-                            "      <td>623</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>...</td>\n",
-                            "      <td>3</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>4</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>3</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0.0</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>4</th>\n",
-                            "      <td>satisfied</td>\n",
-                            "      <td>Female</td>\n",
-                            "      <td>Loyal Customer</td>\n",
-                            "      <td>70</td>\n",
-                            "      <td>Personal Travel</td>\n",
-                            "      <td>Eco</td>\n",
-                            "      <td>354</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>...</td>\n",
-                            "      <td>4</td>\n",
-                            "      <td>2</td>\n",
-                            "      <td>2</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>2</td>\n",
-                            "      <td>4</td>\n",
-                            "      <td>2</td>\n",
-                            "      <td>5</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0.0</td>\n",
-                            "    </tr>\n",
-                            "  </tbody>\n",
-                            "</table>\n",
-                            "<p>5 rows \u00d7 23 columns</p>\n",
-                            "</div>"
-                        ],
-                        "text/plain": [
-                            "  satisfaction  Gender   Customer Type  Age   Type of Travel     Class  \\\n",
-                            "0    satisfied  Female  Loyal Customer   65  Personal Travel       Eco   \n",
-                            "1    satisfied    Male  Loyal Customer   47  Personal Travel  Business   \n",
-                            "2    satisfied  Female  Loyal Customer   15  Personal Travel       Eco   \n",
-                            "3    satisfied  Female  Loyal Customer   60  Personal Travel       Eco   \n",
-                            "4    satisfied  Female  Loyal Customer   70  Personal Travel       Eco   \n",
-                            "\n",
-                            "   Flight Distance  Seat comfort  Departure/Arrival time convenient  \\\n",
-                            "0              265             0                                  0   \n",
-                            "1             2464             0                                  0   \n",
-                            "2             2138             0                                  0   \n",
-                            "3              623             0                                  0   \n",
-                            "4              354             0                                  0   \n",
-                            "\n",
-                            "   Food and drink  ...  Online support  Ease of Online booking  \\\n",
-                            "0               0  ...               2                       3   \n",
-                            "1               0  ...               2                       3   \n",
-                            "2               0  ...               2                       2   \n",
-                            "3               0  ...               3                       1   \n",
-                            "4               0  ...               4                       2   \n",
-                            "\n",
-                            "   On-board service  Leg room service  Baggage handling  Checkin service  \\\n",
-                            "0                 3                 0                 3                5   \n",
-                            "1                 4                 4                 4                2   \n",
-                            "2                 3                 3                 4                4   \n",
-                            "3                 1                 0                 1                4   \n",
-                            "4                 2                 0                 2                4   \n",
-                            "\n",
-                            "   Cleanliness  Online boarding  Departure Delay in Minutes  \\\n",
-                            "0            3                2                           0   \n",
-                            "1            3                2                         310   \n",
-                            "2            4                2                           0   \n",
-                            "3            1                3                           0   \n",
-                            "4            2                5                           0   \n",
-                            "\n",
-                            "   Arrival Delay in Minutes  \n",
-                            "0                       0.0  \n",
-                            "1                     305.0  \n",
-                            "2                       0.0  \n",
-                            "3                       0.0  \n",
-                            "4                       0.0  \n",
-                            "\n",
-                            "[5 rows x 23 columns]"
-                        ]
-                    },
-                    "execution_count": 2,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                }
-            ],
-            "source": [
-                "raw_data=pd.read_csv('https://storage.googleapis.com/ml-service-repository-datastorage/Customer_Satisfaction_Airlines_data.csv')\n",
-                "raw_data.head()"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 3,
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "text/html": [
-                            "<div>\n",
-                            "<style scoped>\n",
-                            "    .dataframe tbody tr th:only-of-type {\n",
-                            "        vertical-align: middle;\n",
-                            "    }\n",
-                            "\n",
-                            "    .dataframe tbody tr th {\n",
-                            "        vertical-align: top;\n",
-                            "    }\n",
-                            "\n",
-                            "    .dataframe thead th {\n",
-                            "        text-align: right;\n",
-                            "    }\n",
-                            "</style>\n",
-                            "<table border=\"1\" class=\"dataframe\">\n",
-                            "  <thead>\n",
-                            "    <tr style=\"text-align: right;\">\n",
-                            "      <th></th>\n",
-                            "      <th>satisfaction</th>\n",
-                            "      <th>Gender</th>\n",
-                            "      <th>Customer Type</th>\n",
-                            "      <th>Age</th>\n",
-                            "      <th>Type of Travel</th>\n",
-                            "      <th>Class</th>\n",
-                            "      <th>Flight Distance</th>\n",
-                            "      <th>Seat comfort</th>\n",
-                            "      <th>Departure/Arrival time convenient</th>\n",
-                            "      <th>Food and drink</th>\n",
-                            "      <th>...</th>\n",
-                            "      <th>Online support</th>\n",
-                            "      <th>Ease of Online booking</th>\n",
-                            "      <th>On-board service</th>\n",
-                            "      <th>Leg room service</th>\n",
-                            "      <th>Baggage handling</th>\n",
-                            "      <th>Checkin service</th>\n",
-                            "      <th>Cleanliness</th>\n",
-                            "      <th>Online boarding</th>\n",
-                            "      <th>Departure Delay in Minutes</th>\n",
-                            "      <th>Arrival Delay in Minutes</th>\n",
-                            "    </tr>\n",
-                            "  </thead>\n",
-                            "  <tbody>\n",
-                            "    <tr>\n",
-                            "      <th>count</th>\n",
-                            "      <td>129880</td>\n",
-                            "      <td>129880</td>\n",
-                            "      <td>129880</td>\n",
-                            "      <td>129880.000000</td>\n",
-                            "      <td>129880</td>\n",
-                            "      <td>129880</td>\n",
-                            "      <td>129880.000000</td>\n",
-                            "      <td>129880.000000</td>\n",
-                            "      <td>129880.000000</td>\n",
-                            "      <td>129880.000000</td>\n",
-                            "      <td>...</td>\n",
-                            "      <td>129880.000000</td>\n",
-                            "      <td>129880.000000</td>\n",
-                            "      <td>129880.000000</td>\n",
-                            "      <td>129880.000000</td>\n",
-                            "      <td>129880.000000</td>\n",
-                            "      <td>129880.000000</td>\n",
-                            "      <td>129880.000000</td>\n",
-                            "      <td>129880.000000</td>\n",
-                            "      <td>129880.000000</td>\n",
-                            "      <td>129487.000000</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>unique</th>\n",
-                            "      <td>2</td>\n",
-                            "      <td>2</td>\n",
-                            "      <td>2</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>2</td>\n",
-                            "      <td>3</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>...</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>top</th>\n",
-                            "      <td>satisfied</td>\n",
-                            "      <td>Female</td>\n",
-                            "      <td>Loyal Customer</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>Business travel</td>\n",
-                            "      <td>Business</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>...</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>freq</th>\n",
-                            "      <td>71087</td>\n",
-                            "      <td>65899</td>\n",
-                            "      <td>106100</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>89693</td>\n",
-                            "      <td>62160</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>...</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>mean</th>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>39.427957</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>1981.409055</td>\n",
-                            "      <td>2.838597</td>\n",
-                            "      <td>2.990645</td>\n",
-                            "      <td>2.851994</td>\n",
-                            "      <td>...</td>\n",
-                            "      <td>3.519703</td>\n",
-                            "      <td>3.472105</td>\n",
-                            "      <td>3.465075</td>\n",
-                            "      <td>3.485902</td>\n",
-                            "      <td>3.695673</td>\n",
-                            "      <td>3.340807</td>\n",
-                            "      <td>3.705759</td>\n",
-                            "      <td>3.352587</td>\n",
-                            "      <td>14.713713</td>\n",
-                            "      <td>15.091129</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>std</th>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>15.119360</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>1027.115606</td>\n",
-                            "      <td>1.392983</td>\n",
-                            "      <td>1.527224</td>\n",
-                            "      <td>1.443729</td>\n",
-                            "      <td>...</td>\n",
-                            "      <td>1.306511</td>\n",
-                            "      <td>1.305560</td>\n",
-                            "      <td>1.270836</td>\n",
-                            "      <td>1.292226</td>\n",
-                            "      <td>1.156483</td>\n",
-                            "      <td>1.260582</td>\n",
-                            "      <td>1.151774</td>\n",
-                            "      <td>1.298715</td>\n",
-                            "      <td>38.071126</td>\n",
-                            "      <td>38.465650</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>min</th>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>7.000000</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>50.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>...</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>1.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>25%</th>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>27.000000</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>1359.000000</td>\n",
-                            "      <td>2.000000</td>\n",
-                            "      <td>2.000000</td>\n",
-                            "      <td>2.000000</td>\n",
-                            "      <td>...</td>\n",
-                            "      <td>3.000000</td>\n",
-                            "      <td>2.000000</td>\n",
-                            "      <td>3.000000</td>\n",
-                            "      <td>2.000000</td>\n",
-                            "      <td>3.000000</td>\n",
-                            "      <td>3.000000</td>\n",
-                            "      <td>3.000000</td>\n",
-                            "      <td>2.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>50%</th>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>40.000000</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>1925.000000</td>\n",
-                            "      <td>3.000000</td>\n",
-                            "      <td>3.000000</td>\n",
-                            "      <td>3.000000</td>\n",
-                            "      <td>...</td>\n",
-                            "      <td>4.000000</td>\n",
-                            "      <td>4.000000</td>\n",
-                            "      <td>4.000000</td>\n",
-                            "      <td>4.000000</td>\n",
-                            "      <td>4.000000</td>\n",
-                            "      <td>3.000000</td>\n",
-                            "      <td>4.000000</td>\n",
-                            "      <td>4.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>75%</th>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>51.000000</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>2544.000000</td>\n",
-                            "      <td>4.000000</td>\n",
-                            "      <td>4.000000</td>\n",
-                            "      <td>4.000000</td>\n",
-                            "      <td>...</td>\n",
-                            "      <td>5.000000</td>\n",
-                            "      <td>5.000000</td>\n",
-                            "      <td>4.000000</td>\n",
-                            "      <td>5.000000</td>\n",
-                            "      <td>5.000000</td>\n",
-                            "      <td>4.000000</td>\n",
-                            "      <td>5.000000</td>\n",
-                            "      <td>4.000000</td>\n",
-                            "      <td>12.000000</td>\n",
-                            "      <td>13.000000</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>max</th>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>85.000000</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>6951.000000</td>\n",
-                            "      <td>5.000000</td>\n",
-                            "      <td>5.000000</td>\n",
-                            "      <td>5.000000</td>\n",
-                            "      <td>...</td>\n",
-                            "      <td>5.000000</td>\n",
-                            "      <td>5.000000</td>\n",
-                            "      <td>5.000000</td>\n",
-                            "      <td>5.000000</td>\n",
-                            "      <td>5.000000</td>\n",
-                            "      <td>5.000000</td>\n",
-                            "      <td>5.000000</td>\n",
-                            "      <td>5.000000</td>\n",
-                            "      <td>1592.000000</td>\n",
-                            "      <td>1584.000000</td>\n",
-                            "    </tr>\n",
-                            "  </tbody>\n",
-                            "</table>\n",
-                            "<p>11 rows \u00d7 23 columns</p>\n",
-                            "</div>"
-                        ],
-                        "text/plain": [
-                            "       satisfaction  Gender   Customer Type            Age   Type of Travel  \\\n",
-                            "count        129880  129880          129880  129880.000000           129880   \n",
-                            "unique            2       2               2            NaN                2   \n",
-                            "top       satisfied  Female  Loyal Customer            NaN  Business travel   \n",
-                            "freq          71087   65899          106100            NaN            89693   \n",
-                            "mean            NaN     NaN             NaN      39.427957              NaN   \n",
-                            "std             NaN     NaN             NaN      15.119360              NaN   \n",
-                            "min             NaN     NaN             NaN       7.000000              NaN   \n",
-                            "25%             NaN     NaN             NaN      27.000000              NaN   \n",
-                            "50%             NaN     NaN             NaN      40.000000              NaN   \n",
-                            "75%             NaN     NaN             NaN      51.000000              NaN   \n",
-                            "max             NaN     NaN             NaN      85.000000              NaN   \n",
-                            "\n",
-                            "           Class  Flight Distance   Seat comfort  \\\n",
-                            "count     129880    129880.000000  129880.000000   \n",
-                            "unique         3              NaN            NaN   \n",
-                            "top     Business              NaN            NaN   \n",
-                            "freq       62160              NaN            NaN   \n",
-                            "mean         NaN      1981.409055       2.838597   \n",
-                            "std          NaN      1027.115606       1.392983   \n",
-                            "min          NaN        50.000000       0.000000   \n",
-                            "25%          NaN      1359.000000       2.000000   \n",
-                            "50%          NaN      1925.000000       3.000000   \n",
-                            "75%          NaN      2544.000000       4.000000   \n",
-                            "max          NaN      6951.000000       5.000000   \n",
-                            "\n",
-                            "        Departure/Arrival time convenient  Food and drink  ...  \\\n",
-                            "count                       129880.000000   129880.000000  ...   \n",
-                            "unique                                NaN             NaN  ...   \n",
-                            "top                                   NaN             NaN  ...   \n",
-                            "freq                                  NaN             NaN  ...   \n",
-                            "mean                             2.990645        2.851994  ...   \n",
-                            "std                              1.527224        1.443729  ...   \n",
-                            "min                              0.000000        0.000000  ...   \n",
-                            "25%                              2.000000        2.000000  ...   \n",
-                            "50%                              3.000000        3.000000  ...   \n",
-                            "75%                              4.000000        4.000000  ...   \n",
-                            "max                              5.000000        5.000000  ...   \n",
-                            "\n",
-                            "        Online support  Ease of Online booking  On-board service  \\\n",
-                            "count    129880.000000           129880.000000     129880.000000   \n",
-                            "unique             NaN                     NaN               NaN   \n",
-                            "top                NaN                     NaN               NaN   \n",
-                            "freq               NaN                     NaN               NaN   \n",
-                            "mean          3.519703                3.472105          3.465075   \n",
-                            "std           1.306511                1.305560          1.270836   \n",
-                            "min           0.000000                0.000000          0.000000   \n",
-                            "25%           3.000000                2.000000          3.000000   \n",
-                            "50%           4.000000                4.000000          4.000000   \n",
-                            "75%           5.000000                5.000000          4.000000   \n",
-                            "max           5.000000                5.000000          5.000000   \n",
-                            "\n",
-                            "        Leg room service  Baggage handling  Checkin service    Cleanliness  \\\n",
-                            "count      129880.000000     129880.000000    129880.000000  129880.000000   \n",
-                            "unique               NaN               NaN              NaN            NaN   \n",
-                            "top                  NaN               NaN              NaN            NaN   \n",
-                            "freq                 NaN               NaN              NaN            NaN   \n",
-                            "mean            3.485902          3.695673         3.340807       3.705759   \n",
-                            "std             1.292226          1.156483         1.260582       1.151774   \n",
-                            "min             0.000000          1.000000         0.000000       0.000000   \n",
-                            "25%             2.000000          3.000000         3.000000       3.000000   \n",
-                            "50%             4.000000          4.000000         3.000000       4.000000   \n",
-                            "75%             5.000000          5.000000         4.000000       5.000000   \n",
-                            "max             5.000000          5.000000         5.000000       5.000000   \n",
-                            "\n",
-                            "        Online boarding  Departure Delay in Minutes  Arrival Delay in Minutes  \n",
-                            "count     129880.000000               129880.000000             129487.000000  \n",
-                            "unique              NaN                         NaN                       NaN  \n",
-                            "top                 NaN                         NaN                       NaN  \n",
-                            "freq                NaN                         NaN                       NaN  \n",
-                            "mean           3.352587                   14.713713                 15.091129  \n",
-                            "std            1.298715                   38.071126                 38.465650  \n",
-                            "min            0.000000                    0.000000                  0.000000  \n",
-                            "25%            2.000000                    0.000000                  0.000000  \n",
-                            "50%            4.000000                    0.000000                  0.000000  \n",
-                            "75%            4.000000                   12.000000                 13.000000  \n",
-                            "max            5.000000                 1592.000000               1584.000000  \n",
-                            "\n",
-                            "[11 rows x 23 columns]"
-                        ]
-                    },
-                    "execution_count": 3,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                }
-            ],
-            "source": [
-                "raw_data.describe(include='all')"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 4,
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "text/html": [
-                            "<div>\n",
-                            "<style scoped>\n",
-                            "    .dataframe tbody tr th:only-of-type {\n",
-                            "        vertical-align: middle;\n",
-                            "    }\n",
-                            "\n",
-                            "    .dataframe tbody tr th {\n",
-                            "        vertical-align: top;\n",
-                            "    }\n",
-                            "\n",
-                            "    .dataframe thead th {\n",
-                            "        text-align: right;\n",
-                            "    }\n",
-                            "</style>\n",
-                            "<table border=\"1\" class=\"dataframe\">\n",
-                            "  <thead>\n",
-                            "    <tr style=\"text-align: right;\">\n",
-                            "      <th></th>\n",
-                            "      <th>Age</th>\n",
-                            "      <th>Flight Distance</th>\n",
-                            "      <th>Seat comfort</th>\n",
-                            "      <th>Departure/Arrival time convenient</th>\n",
-                            "      <th>Food and drink</th>\n",
-                            "      <th>Gate location</th>\n",
-                            "      <th>Inflight wifi service</th>\n",
-                            "      <th>Inflight entertainment</th>\n",
-                            "      <th>Online support</th>\n",
-                            "      <th>Ease of Online booking</th>\n",
-                            "      <th>On-board service</th>\n",
-                            "      <th>Leg room service</th>\n",
-                            "      <th>Baggage handling</th>\n",
-                            "      <th>Checkin service</th>\n",
-                            "      <th>Cleanliness</th>\n",
-                            "      <th>Online boarding</th>\n",
-                            "      <th>Departure Delay in Minutes</th>\n",
-                            "      <th>Arrival Delay in Minutes</th>\n",
-                            "    </tr>\n",
-                            "  </thead>\n",
-                            "  <tbody>\n",
-                            "    <tr>\n",
-                            "      <th>count</th>\n",
-                            "      <td>129880.000000</td>\n",
-                            "      <td>129880.000000</td>\n",
-                            "      <td>129880.000000</td>\n",
-                            "      <td>129880.000000</td>\n",
-                            "      <td>129880.000000</td>\n",
-                            "      <td>129880.000000</td>\n",
-                            "      <td>129880.000000</td>\n",
-                            "      <td>129880.000000</td>\n",
-                            "      <td>129880.000000</td>\n",
-                            "      <td>129880.000000</td>\n",
-                            "      <td>129880.000000</td>\n",
-                            "      <td>129880.000000</td>\n",
-                            "      <td>129880.000000</td>\n",
-                            "      <td>129880.000000</td>\n",
-                            "      <td>129880.000000</td>\n",
-                            "      <td>129880.000000</td>\n",
-                            "      <td>129880.000000</td>\n",
-                            "      <td>129487.000000</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>mean</th>\n",
-                            "      <td>39.427957</td>\n",
-                            "      <td>1981.409055</td>\n",
-                            "      <td>2.838597</td>\n",
-                            "      <td>2.990645</td>\n",
-                            "      <td>2.851994</td>\n",
-                            "      <td>2.990422</td>\n",
-                            "      <td>3.249130</td>\n",
-                            "      <td>3.383477</td>\n",
-                            "      <td>3.519703</td>\n",
-                            "      <td>3.472105</td>\n",
-                            "      <td>3.465075</td>\n",
-                            "      <td>3.485902</td>\n",
-                            "      <td>3.695673</td>\n",
-                            "      <td>3.340807</td>\n",
-                            "      <td>3.705759</td>\n",
-                            "      <td>3.352587</td>\n",
-                            "      <td>14.713713</td>\n",
-                            "      <td>15.091129</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>std</th>\n",
-                            "      <td>15.119360</td>\n",
-                            "      <td>1027.115606</td>\n",
-                            "      <td>1.392983</td>\n",
-                            "      <td>1.527224</td>\n",
-                            "      <td>1.443729</td>\n",
-                            "      <td>1.305970</td>\n",
-                            "      <td>1.318818</td>\n",
-                            "      <td>1.346059</td>\n",
-                            "      <td>1.306511</td>\n",
-                            "      <td>1.305560</td>\n",
-                            "      <td>1.270836</td>\n",
-                            "      <td>1.292226</td>\n",
-                            "      <td>1.156483</td>\n",
-                            "      <td>1.260582</td>\n",
-                            "      <td>1.151774</td>\n",
-                            "      <td>1.298715</td>\n",
-                            "      <td>38.071126</td>\n",
-                            "      <td>38.465650</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>min</th>\n",
-                            "      <td>7.000000</td>\n",
-                            "      <td>50.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>1.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>25%</th>\n",
-                            "      <td>27.000000</td>\n",
-                            "      <td>1359.000000</td>\n",
-                            "      <td>2.000000</td>\n",
-                            "      <td>2.000000</td>\n",
-                            "      <td>2.000000</td>\n",
-                            "      <td>2.000000</td>\n",
-                            "      <td>2.000000</td>\n",
-                            "      <td>2.000000</td>\n",
-                            "      <td>3.000000</td>\n",
-                            "      <td>2.000000</td>\n",
-                            "      <td>3.000000</td>\n",
-                            "      <td>2.000000</td>\n",
-                            "      <td>3.000000</td>\n",
-                            "      <td>3.000000</td>\n",
-                            "      <td>3.000000</td>\n",
-                            "      <td>2.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>50%</th>\n",
-                            "      <td>40.000000</td>\n",
-                            "      <td>1925.000000</td>\n",
-                            "      <td>3.000000</td>\n",
-                            "      <td>3.000000</td>\n",
-                            "      <td>3.000000</td>\n",
-                            "      <td>3.000000</td>\n",
-                            "      <td>3.000000</td>\n",
-                            "      <td>4.000000</td>\n",
-                            "      <td>4.000000</td>\n",
-                            "      <td>4.000000</td>\n",
-                            "      <td>4.000000</td>\n",
-                            "      <td>4.000000</td>\n",
-                            "      <td>4.000000</td>\n",
-                            "      <td>3.000000</td>\n",
-                            "      <td>4.000000</td>\n",
-                            "      <td>4.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>75%</th>\n",
-                            "      <td>51.000000</td>\n",
-                            "      <td>2544.000000</td>\n",
-                            "      <td>4.000000</td>\n",
-                            "      <td>4.000000</td>\n",
-                            "      <td>4.000000</td>\n",
-                            "      <td>4.000000</td>\n",
-                            "      <td>4.000000</td>\n",
-                            "      <td>4.000000</td>\n",
-                            "      <td>5.000000</td>\n",
-                            "      <td>5.000000</td>\n",
-                            "      <td>4.000000</td>\n",
-                            "      <td>5.000000</td>\n",
-                            "      <td>5.000000</td>\n",
-                            "      <td>4.000000</td>\n",
-                            "      <td>5.000000</td>\n",
-                            "      <td>4.000000</td>\n",
-                            "      <td>12.000000</td>\n",
-                            "      <td>13.000000</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>max</th>\n",
-                            "      <td>85.000000</td>\n",
-                            "      <td>6951.000000</td>\n",
-                            "      <td>5.000000</td>\n",
-                            "      <td>5.000000</td>\n",
-                            "      <td>5.000000</td>\n",
-                            "      <td>5.000000</td>\n",
-                            "      <td>5.000000</td>\n",
-                            "      <td>5.000000</td>\n",
-                            "      <td>5.000000</td>\n",
-                            "      <td>5.000000</td>\n",
-                            "      <td>5.000000</td>\n",
-                            "      <td>5.000000</td>\n",
-                            "      <td>5.000000</td>\n",
-                            "      <td>5.000000</td>\n",
-                            "      <td>5.000000</td>\n",
-                            "      <td>5.000000</td>\n",
-                            "      <td>1592.000000</td>\n",
-                            "      <td>1584.000000</td>\n",
-                            "    </tr>\n",
-                            "  </tbody>\n",
-                            "</table>\n",
-                            "</div>"
-                        ],
-                        "text/plain": [
-                            "                 Age  Flight Distance   Seat comfort  \\\n",
-                            "count  129880.000000    129880.000000  129880.000000   \n",
-                            "mean       39.427957      1981.409055       2.838597   \n",
-                            "std        15.119360      1027.115606       1.392983   \n",
-                            "min         7.000000        50.000000       0.000000   \n",
-                            "25%        27.000000      1359.000000       2.000000   \n",
-                            "50%        40.000000      1925.000000       3.000000   \n",
-                            "75%        51.000000      2544.000000       4.000000   \n",
-                            "max        85.000000      6951.000000       5.000000   \n",
-                            "\n",
-                            "       Departure/Arrival time convenient  Food and drink  Gate location  \\\n",
-                            "count                      129880.000000   129880.000000  129880.000000   \n",
-                            "mean                            2.990645        2.851994       2.990422   \n",
-                            "std                             1.527224        1.443729       1.305970   \n",
-                            "min                             0.000000        0.000000       0.000000   \n",
-                            "25%                             2.000000        2.000000       2.000000   \n",
-                            "50%                             3.000000        3.000000       3.000000   \n",
-                            "75%                             4.000000        4.000000       4.000000   \n",
-                            "max                             5.000000        5.000000       5.000000   \n",
-                            "\n",
-                            "       Inflight wifi service  Inflight entertainment  Online support  \\\n",
-                            "count          129880.000000           129880.000000   129880.000000   \n",
-                            "mean                3.249130                3.383477        3.519703   \n",
-                            "std                 1.318818                1.346059        1.306511   \n",
-                            "min                 0.000000                0.000000        0.000000   \n",
-                            "25%                 2.000000                2.000000        3.000000   \n",
-                            "50%                 3.000000                4.000000        4.000000   \n",
-                            "75%                 4.000000                4.000000        5.000000   \n",
-                            "max                 5.000000                5.000000        5.000000   \n",
-                            "\n",
-                            "       Ease of Online booking  On-board service  Leg room service  \\\n",
-                            "count           129880.000000     129880.000000     129880.000000   \n",
-                            "mean                 3.472105          3.465075          3.485902   \n",
-                            "std                  1.305560          1.270836          1.292226   \n",
-                            "min                  0.000000          0.000000          0.000000   \n",
-                            "25%                  2.000000          3.000000          2.000000   \n",
-                            "50%                  4.000000          4.000000          4.000000   \n",
-                            "75%                  5.000000          4.000000          5.000000   \n",
-                            "max                  5.000000          5.000000          5.000000   \n",
-                            "\n",
-                            "       Baggage handling  Checkin service    Cleanliness  Online boarding  \\\n",
-                            "count     129880.000000    129880.000000  129880.000000    129880.000000   \n",
-                            "mean           3.695673         3.340807       3.705759         3.352587   \n",
-                            "std            1.156483         1.260582       1.151774         1.298715   \n",
-                            "min            1.000000         0.000000       0.000000         0.000000   \n",
-                            "25%            3.000000         3.000000       3.000000         2.000000   \n",
-                            "50%            4.000000         3.000000       4.000000         4.000000   \n",
-                            "75%            5.000000         4.000000       5.000000         4.000000   \n",
-                            "max            5.000000         5.000000       5.000000         5.000000   \n",
-                            "\n",
-                            "       Departure Delay in Minutes  Arrival Delay in Minutes  \n",
-                            "count               129880.000000             129487.000000  \n",
-                            "mean                    14.713713                 15.091129  \n",
-                            "std                     38.071126                 38.465650  \n",
-                            "min                      0.000000                  0.000000  \n",
-                            "25%                      0.000000                  0.000000  \n",
-                            "50%                      0.000000                  0.000000  \n",
-                            "75%                     12.000000                 13.000000  \n",
-                            "max                   1592.000000               1584.000000  "
-                        ]
-                    },
-                    "execution_count": 4,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                }
-            ],
-            "source": [
-                "raw_data.describe()"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 5,
-            "metadata": {},
-            "outputs": [
-                {
-                    "name": "stdout",
-                    "output_type": "stream",
-                    "text": [
-                        "<class 'pandas.core.frame.DataFrame'>\n",
-                        "RangeIndex: 129880 entries, 0 to 129879\n",
-                        "Data columns (total 23 columns):\n",
-                        " #   Column                             Non-Null Count   Dtype  \n",
-                        "---  ------                             --------------   -----  \n",
-                        " 0   satisfaction                       129880 non-null  object \n",
-                        " 1   Gender                             129880 non-null  object \n",
-                        " 2   Customer Type                      129880 non-null  object \n",
-                        " 3   Age                                129880 non-null  int64  \n",
-                        " 4   Type of Travel                     129880 non-null  object \n",
-                        " 5   Class                              129880 non-null  object \n",
-                        " 6   Flight Distance                    129880 non-null  int64  \n",
-                        " 7   Seat comfort                       129880 non-null  int64  \n",
-                        " 8   Departure/Arrival time convenient  129880 non-null  int64  \n",
-                        " 9   Food and drink                     129880 non-null  int64  \n",
-                        " 10  Gate location                      129880 non-null  int64  \n",
-                        " 11  Inflight wifi service              129880 non-null  int64  \n",
-                        " 12  Inflight entertainment             129880 non-null  int64  \n",
-                        " 13  Online support                     129880 non-null  int64  \n",
-                        " 14  Ease of Online booking             129880 non-null  int64  \n",
-                        " 15  On-board service                   129880 non-null  int64  \n",
-                        " 16  Leg room service                   129880 non-null  int64  \n",
-                        " 17  Baggage handling                   129880 non-null  int64  \n",
-                        " 18  Checkin service                    129880 non-null  int64  \n",
-                        " 19  Cleanliness                        129880 non-null  int64  \n",
-                        " 20  Online boarding                    129880 non-null  int64  \n",
-                        " 21  Departure Delay in Minutes         129880 non-null  int64  \n",
-                        " 22  Arrival Delay in Minutes           129487 non-null  float64\n",
-                        "dtypes: float64(1), int64(17), object(5)\n",
-                        "memory usage: 22.8+ MB\n"
-                    ]
-                }
-            ],
-            "source": [
-                "raw_data.info()"
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "Der Datensatz besteht aus 129.880 Zeilen und 23 Attributen:\n",
-                "\n",
-                "Voraussagendes Attribut: Zufriedenheit\n",
-                "\n",
-                "Numerische Attribute: Alter,Flugdistanz,Sitzkomfort,Abflug-/Ankunftszeit g\u00fcnstig,Essen und Trinken,Lage des Gates,Wifi-Service an Bord,Unterhaltung an Bord,Online-Support,Einfachheit der Online-Buchung,Bordservice,Service in der Kabine, Gep\u00e4ckabfertigung,Checkin-Service,Sauberkeit,Online-Boarding,Abflugversp\u00e4tung in Minuten.\n",
-                "\n",
-                "Kategoriale Attribute: Geschlecht, Kundentyp, Art der Reise, Klasse.\n",
-                "\n",
-                "Das Attribut Ankunft in Minuten ist unausgewogen. Es k\u00f6nnte daran liegen, dass es null Werte enth\u00e4lt. Das muss gepr\u00fcft werden.\n",
-                "\n"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 6,
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "text/html": [
-                            "<div>\n",
-                            "<style scoped>\n",
-                            "    .dataframe tbody tr th:only-of-type {\n",
-                            "        vertical-align: middle;\n",
-                            "    }\n",
-                            "\n",
-                            "    .dataframe tbody tr th {\n",
-                            "        vertical-align: top;\n",
-                            "    }\n",
-                            "\n",
-                            "    .dataframe thead th {\n",
-                            "        text-align: right;\n",
-                            "    }\n",
-                            "</style>\n",
-                            "<table border=\"1\" class=\"dataframe\">\n",
-                            "  <thead>\n",
-                            "    <tr style=\"text-align: right;\">\n",
-                            "      <th></th>\n",
-                            "      <th>satisfaction</th>\n",
-                            "      <th>Gender</th>\n",
-                            "      <th>Customer Type</th>\n",
-                            "      <th>Age</th>\n",
-                            "      <th>Type of Travel</th>\n",
-                            "      <th>Class</th>\n",
-                            "      <th>Flight Distance</th>\n",
-                            "      <th>Seat comfort</th>\n",
-                            "      <th>Departure/Arrival time convenient</th>\n",
-                            "      <th>Food and drink</th>\n",
-                            "      <th>...</th>\n",
-                            "      <th>Online support</th>\n",
-                            "      <th>Ease of Online booking</th>\n",
-                            "      <th>On-board service</th>\n",
-                            "      <th>Leg room service</th>\n",
-                            "      <th>Baggage handling</th>\n",
-                            "      <th>Checkin service</th>\n",
-                            "      <th>Cleanliness</th>\n",
-                            "      <th>Online boarding</th>\n",
-                            "      <th>Departure Delay in Minutes</th>\n",
-                            "      <th>Arrival Delay in Minutes</th>\n",
-                            "    </tr>\n",
-                            "  </thead>\n",
-                            "  <tbody>\n",
-                            "  </tbody>\n",
-                            "</table>\n",
-                            "<p>0 rows \u00d7 23 columns</p>\n",
-                            "</div>"
-                        ],
-                        "text/plain": [
-                            "Empty DataFrame\n",
-                            "Columns: [satisfaction, Gender, Customer Type, Age, Type of Travel, Class, Flight Distance, Seat comfort, Departure/Arrival time convenient, Food and drink, Gate location, Inflight wifi service, Inflight entertainment, Online support, Ease of Online booking, On-board service, Leg room service, Baggage handling, Checkin service, Cleanliness, Online boarding, Departure Delay in Minutes, Arrival Delay in Minutes]\n",
-                            "Index: []\n",
-                            "\n",
-                            "[0 rows x 23 columns]"
-                        ]
-                    },
-                    "execution_count": 6,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                }
-            ],
-            "source": [
-                "# test for duplicates\n",
-                "raw_data[raw_data.duplicated(keep=False)]"
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "Keine Duplikate im Datensatz"
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "## 2.3 Datenbereinigung"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 7,
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "text/plain": [
-                            "satisfaction                           0\n",
-                            "Gender                                 0\n",
-                            "Customer Type                          0\n",
-                            "Age                                    0\n",
-                            "Type of Travel                         0\n",
-                            "Class                                  0\n",
-                            "Flight Distance                        0\n",
-                            "Seat comfort                           0\n",
-                            "Departure/Arrival time convenient      0\n",
-                            "Food and drink                         0\n",
-                            "Gate location                          0\n",
-                            "Inflight wifi service                  0\n",
-                            "Inflight entertainment                 0\n",
-                            "Online support                         0\n",
-                            "Ease of Online booking                 0\n",
-                            "On-board service                       0\n",
-                            "Leg room service                       0\n",
-                            "Baggage handling                       0\n",
-                            "Checkin service                        0\n",
-                            "Cleanliness                            0\n",
-                            "Online boarding                        0\n",
-                            "Departure Delay in Minutes             0\n",
-                            "Arrival Delay in Minutes             393\n",
-                            "dtype: int64"
-                        ]
-                    },
-                    "execution_count": 7,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                }
-            ],
-            "source": [
-                "raw_data.isna().sum()"
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "In the attribute Arrival Delay in Minutes are 393 null values included"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 8,
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "text/plain": [
-                            "count    129487.000000\n",
-                            "mean         15.091129\n",
-                            "std          38.465650\n",
-                            "min           0.000000\n",
-                            "25%           0.000000\n",
-                            "50%           0.000000\n",
-                            "75%          13.000000\n",
-                            "max        1584.000000\n",
-                            "Name: Arrival Delay in Minutes, dtype: float64"
-                        ]
-                    },
-                    "execution_count": 8,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                }
-            ],
-            "source": [
-                "raw_data['Arrival Delay in Minutes'].describe()"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 9,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "# Remove zero values\n",
-                "raw_data_c=raw_data.copy()\n",
-                "raw_data.dropna(inplace=True)"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 10,
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "text/plain": [
-                            "satisfaction                         0\n",
-                            "Gender                               0\n",
-                            "Customer Type                        0\n",
-                            "Age                                  0\n",
-                            "Type of Travel                       0\n",
-                            "Class                                0\n",
-                            "Flight Distance                      0\n",
-                            "Seat comfort                         0\n",
-                            "Departure/Arrival time convenient    0\n",
-                            "Food and drink                       0\n",
-                            "Gate location                        0\n",
-                            "Inflight wifi service                0\n",
-                            "Inflight entertainment               0\n",
-                            "Online support                       0\n",
-                            "Ease of Online booking               0\n",
-                            "On-board service                     0\n",
-                            "Leg room service                     0\n",
-                            "Baggage handling                     0\n",
-                            "Checkin service                      0\n",
-                            "Cleanliness                          0\n",
-                            "Online boarding                      0\n",
-                            "Departure Delay in Minutes           0\n",
-                            "Arrival Delay in Minutes             0\n",
-                            "dtype: int64"
-                        ]
-                    },
-                    "execution_count": 10,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                }
-            ],
-            "source": [
-                "raw_data.isna().sum()"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 11,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "# remove zero values\n",
-                "# axis = 0 lines / axis = 1 coloums\n",
-                "data_no_mv = raw_data.dropna(axis=0)"
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "Alle Nullwerte wurden entfernt"
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "## 2.4. Deskriptive Analyse\n",
-                "\n",
-                "In diesem Teil des Notizbuchs wird die explorative Datenanalyse verwendet, um das Verst\u00e4ndnis der Daten zu ermitteln.\n",
-                "\n",
-                "Nach Abzug der Nullwerte besteht der Datensatz aus 129187 Zeilen, einer Zeile, die jeden Kunden beschreibt, und 21 Spalten, die die Eigenschaften der Kunden definieren. Anhand dieser Daten wird versucht zu klassifizieren, ob ein Kunde zufrieden ist oder nicht. Zu diesem Zweck enthalten die historischen Daten die Zielvariable \"Zufriedenheit\", die Auskunft dar\u00fcber gibt, ob ein Kunde zufrieden ist.\n"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 12,
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "text/plain": [
-                            "array([[<AxesSubplot:title={'center':'Age'}>,\n",
-                            "        <AxesSubplot:title={'center':'Flight Distance'}>,\n",
-                            "        <AxesSubplot:title={'center':'Seat comfort'}>,\n",
-                            "        <AxesSubplot:title={'center':'Departure/Arrival time convenient'}>],\n",
-                            "       [<AxesSubplot:title={'center':'Food and drink'}>,\n",
-                            "        <AxesSubplot:title={'center':'Gate location'}>,\n",
-                            "        <AxesSubplot:title={'center':'Inflight wifi service'}>,\n",
-                            "        <AxesSubplot:title={'center':'Inflight entertainment'}>],\n",
-                            "       [<AxesSubplot:title={'center':'Online support'}>,\n",
-                            "        <AxesSubplot:title={'center':'Ease of Online booking'}>,\n",
-                            "        <AxesSubplot:title={'center':'On-board service'}>,\n",
-                            "        <AxesSubplot:title={'center':'Leg room service'}>],\n",
-                            "       [<AxesSubplot:title={'center':'Baggage handling'}>,\n",
-                            "        <AxesSubplot:title={'center':'Checkin service'}>,\n",
-                            "        <AxesSubplot:title={'center':'Cleanliness'}>,\n",
-                            "        <AxesSubplot:title={'center':'Online boarding'}>],\n",
-                            "       [<AxesSubplot:title={'center':'Departure Delay in Minutes'}>,\n",
-                            "        <AxesSubplot:title={'center':'Arrival Delay in Minutes'}>,\n",
-                            "        <AxesSubplot:>, <AxesSubplot:>]], dtype=object)"
-                        ]
-                    },
-                    "execution_count": 12,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                },
-                {
-                    "data": {
-                        "image/png": 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",
-                        "text/plain": [
-                            "<Figure size 1440x1440 with 20 Axes>"
-                        ]
-                    },
-                    "metadata": {
-                        "needs_background": "light"
-                    },
-                    "output_type": "display_data"
-                }
-            ],
-            "source": [
-                "raw_data.hist(figsize=(20,20), bins= 60)"
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "## 2.4.1 Numerische Attribute"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 13,
-            "metadata": {},
-            "outputs": [
-                {
-                    "name": "stdout",
-                    "output_type": "stream",
-                    "text": [
-                        "<class 'pandas.core.frame.DataFrame'>\n",
-                        "RangeIndex: 129880 entries, 0 to 129879\n",
-                        "Data columns (total 23 columns):\n",
-                        " #   Column                             Non-Null Count   Dtype  \n",
-                        "---  ------                             --------------   -----  \n",
-                        " 0   satisfaction                       129880 non-null  object \n",
-                        " 1   Gender                             129880 non-null  object \n",
-                        " 2   Customer Type                      129880 non-null  object \n",
-                        " 3   Age                                129880 non-null  int64  \n",
-                        " 4   Type of Travel                     129880 non-null  object \n",
-                        " 5   Class                              129880 non-null  object \n",
-                        " 6   Flight Distance                    129880 non-null  int64  \n",
-                        " 7   Seat comfort                       129880 non-null  int64  \n",
-                        " 8   Departure/Arrival time convenient  129880 non-null  int64  \n",
-                        " 9   Food and drink                     129880 non-null  int64  \n",
-                        " 10  Gate location                      129880 non-null  int64  \n",
-                        " 11  Inflight wifi service              129880 non-null  int64  \n",
-                        " 12  Inflight entertainment             129880 non-null  int64  \n",
-                        " 13  Online support                     129880 non-null  int64  \n",
-                        " 14  Ease of Online booking             129880 non-null  int64  \n",
-                        " 15  On-board service                   129880 non-null  int64  \n",
-                        " 16  Leg room service                   129880 non-null  int64  \n",
-                        " 17  Baggage handling                   129880 non-null  int64  \n",
-                        " 18  Checkin service                    129880 non-null  int64  \n",
-                        " 19  Cleanliness                        129880 non-null  int64  \n",
-                        " 20  Online boarding                    129880 non-null  int64  \n",
-                        " 21  Departure Delay in Minutes         129880 non-null  int64  \n",
-                        " 22  Arrival Delay in Minutes           129487 non-null  float64\n",
-                        "dtypes: float64(1), int64(17), object(5)\n",
-                        "memory usage: 22.8+ MB\n"
-                    ]
-                }
-            ],
-            "source": [
-                "raw_data_c.info()"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 14,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "# Import of numeric attributes\n",
-                "numeric_data = raw_data.select_dtypes(include=[np.number])"
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "### Alter"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 15,
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "text/plain": [
-                            "<AxesSubplot:xlabel='Age', ylabel='Density'>"
-                        ]
-                    },
-                    "execution_count": 15,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                },
-                {
-                    "data": {
-                        "image/png": 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",
-                        "text/plain": [
-                            "<Figure size 432x288 with 1 Axes>"
-                        ]
-                    },
-                    "metadata": {
-                        "needs_background": "light"
-                    },
-                    "output_type": "display_data"
-                }
-            ],
-            "source": [
-                "sns.distplot(numeric_data[\"Age\"])"
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "### Sitzkomfort"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 16,
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "text/plain": [
-                            "<AxesSubplot:xlabel='Seat comfort', ylabel='Density'>"
-                        ]
-                    },
-                    "execution_count": 16,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                },
-                {
-                    "data": {
-                        "image/png": 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",
-                        "text/plain": [
-                            "<Figure size 432x288 with 1 Axes>"
-                        ]
-                    },
-                    "metadata": {
-                        "needs_background": "light"
-                    },
-                    "output_type": "display_data"
-                }
-            ],
-            "source": [
-                "sns.distplot(numeric_data[\"Seat comfort\"])"
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "### Essen und Trinken"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 17,
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "text/plain": [
-                            "<AxesSubplot:xlabel='Food and drink', ylabel='Density'>"
-                        ]
-                    },
-                    "execution_count": 17,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                },
-                {
-                    "data": {
-                        "image/png": 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",
-                        "text/plain": [
-                            "<Figure size 432x288 with 1 Axes>"
-                        ]
-                    },
-                    "metadata": {
-                        "needs_background": "light"
-                    },
-                    "output_type": "display_data"
-                }
-            ],
-            "source": [
-                "sns.distplot(numeric_data[\"Food and drink\"])"
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "### Wifi-Service an Bord"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 18,
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "text/plain": [
-                            "<AxesSubplot:xlabel='Inflight wifi service', ylabel='Density'>"
-                        ]
-                    },
-                    "execution_count": 18,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                },
-                {
-                    "data": {
-                        "image/png": 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",
-                        "text/plain": [
-                            "<Figure size 432x288 with 1 Axes>"
-                        ]
-                    },
-                    "metadata": {
-                        "needs_background": "light"
-                    },
-                    "output_type": "display_data"
-                }
-            ],
-            "source": [
-                "sns.distplot(numeric_data[\"Inflight wifi service\"])"
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "### Unterhaltung w\u00e4hrend des Fluges"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 19,
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "text/plain": [
-                            "<AxesSubplot:xlabel='Inflight entertainment', ylabel='Density'>"
-                        ]
-                    },
-                    "execution_count": 19,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                },
-                {
-                    "data": {
-                        "image/png": 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",
-                        "text/plain": [
-                            "<Figure size 432x288 with 1 Axes>"
-                        ]
-                    },
-                    "metadata": {
-                        "needs_background": "light"
-                    },
-                    "output_type": "display_data"
-                }
-            ],
-            "source": [
-                "sns.distplot(numeric_data[\"Inflight entertainment\"])"
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "### Online support"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 20,
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "text/plain": [
-                            "<AxesSubplot:xlabel='Online support', ylabel='Density'>"
-                        ]
-                    },
-                    "execution_count": 20,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                },
-                {
-                    "data": {
-                        "image/png": 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",
-                        "text/plain": [
-                            "<Figure size 432x288 with 1 Axes>"
-                        ]
-                    },
-                    "metadata": {
-                        "needs_background": "light"
-                    },
-                    "output_type": "display_data"
-                }
-            ],
-            "source": [
-                "sns.distplot(numeric_data[\"Online support\"])"
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "### Einfachheit der Online-Buchung"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 21,
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "text/plain": [
-                            "<AxesSubplot:xlabel='Ease of Online booking', ylabel='Density'>"
-                        ]
-                    },
-                    "execution_count": 21,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                },
-                {
-                    "data": {
-                        "image/png": 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",
-                        "text/plain": [
-                            "<Figure size 432x288 with 1 Axes>"
-                        ]
-                    },
-                    "metadata": {
-                        "needs_background": "light"
-                    },
-                    "output_type": "display_data"
-                }
-            ],
-            "source": [
-                "sns.distplot(numeric_data[\"Ease of Online booking\"])"
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "### Service an Bord"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 22,
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "text/plain": [
-                            "<AxesSubplot:xlabel='On-board service', ylabel='Density'>"
-                        ]
-                    },
-                    "execution_count": 22,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                },
-                {
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",
-                        "text/plain": [
-                            "<Figure size 432x288 with 1 Axes>"
-                        ]
-                    },
-                    "metadata": {
-                        "needs_background": "light"
-                    },
-                    "output_type": "display_data"
-                }
-            ],
-            "source": [
-                "sns.distplot(numeric_data[\"On-board service\"])"
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "### Beinraum-Service"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 23,
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "text/plain": [
-                            "<AxesSubplot:xlabel='Leg room service', ylabel='Density'>"
-                        ]
-                    },
-                    "execution_count": 23,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                },
-                {
-                    "data": {
-                        "image/png": 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",
-                        "text/plain": [
-                            "<Figure size 432x288 with 1 Axes>"
-                        ]
-                    },
-                    "metadata": {
-                        "needs_background": "light"
-                    },
-                    "output_type": "display_data"
-                }
-            ],
-            "source": [
-                "sns.distplot(numeric_data[\"Leg room service\"])"
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "### Gep\u00e4ckabfertigung"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 24,
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "text/plain": [
-                            "<AxesSubplot:xlabel='Baggage handling', ylabel='Density'>"
-                        ]
-                    },
-                    "execution_count": 24,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                },
-                {
-                    "data": {
-                        "image/png": 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vbAZlVXVsyiv1rrgOUMCLnOGTvSUszsnnrnkjP51BECCzby9mjezH6n3HyDteGcYKu9bmvFKiDCZ28ARrk6lDUykoq+boieouqqz7bcorpayqjnlj27c2xcWj0zGD5buKPaqsYxTwImf4zyU7GJySwN0LRp913+UTB9ArLpr3ciN3/pH22pRfxpj+fegV17lTctM+XcKvtPNFhcnyXcWYwZzR7TsfkZYUx+QhKRE3XFIBL3KK9QePs2b/ce6cN5LEuLNnCEyIjWb2qHR2HC1nZw9am7Mlzjk255V9OgqmMyYOTiYuOqpHr9G6bGcRk4ekkJbU/hPp88ZksP5gKSeq6zyorGMU8CKn+P2yvSQnxHBD9tAWHzNrRBqx0cbvl+3txsq8sb+kkpKKWi4Yntrp14qPiWbSkOQe24I/UV1HzqFS5o3p2NKhc8ek09DoWLmnpIsr6zgFvEjQoWOVvLX1CLfOGk5SfMvdFb3iY7hgWF9e2ZDf45eqa7r69MKstC55vWlD+7Ipv5S6hsYueb3u9PHuEhoaHXPHdGy46LRhfUmKi2ZZBI2HV8CLBP15zSEMuG3W8DYfO3tkP+oaHC+uy/O+MA+t3X+clMRYRmeEdlFPW6YNS6W6rpEdR3pe99WyXUX0jo/hguF9O/T8uJgoZo9Kj6gTrQp4EaCuoZHn1x5i/rj+DElNbPPx/ZMTmDEijWdXH6QxwsY+t8faA8eYPrwvUVGhDwlsTdOJ1nUHelY/vHOOZTuLmD2qX0jTE7Rk3th0Dh6rZH9xRRdW13EKeBHg/e2FFJbXtGu5ultnDuPgsUo+2hM5Lbb2OFZRy56iCrKzOtZibc6Q1ESGpCbyyd7I6YcOxb7iCvKOVzGvg90zTeYG++8jZTSNAl6EwMyhA5LjWTAu9BNsV04aSN9esTy7uvlZRyNdUys7e3jX9L9D4KrO2aP6sXJvSY/6y+b97YFhr52dZiGrXy+GpiWydIcCXiQiHDpWybJdRdyYPZSYdvx5nhAbzRcuyGTJ1qMUlve8i3s+2VtCXExUp69gPdPskf0oraxjew/qh39n21HGD+zD0LRenXodM+Oy8QNYsbs4IlZ5UsBLs8qr6/hwRyEvrsvjzS0FHI7AqVC7ynNrDmLAjR2YKOrmmcOob3S8sLbnnWxdtrOImSPSSIg9e7x/Z8we1Q+Aj3tI11VZZR1rDxznsgldM0na5RMHUFPfGBEnWxXwcpaX1uXxi3d38va2o+wuLOej3cU88sFufvTa1h45/K01gZOreSwI8eTqmUZl9GbWyDSeW9OzTrbmB6fEvaSdl+SHYnBqIiPSkyJqPHhrlu4spKHRcdmEAV3yejNGpJGcEMO72452yet1hgJeTvPkR/v4zgsbGZicyH2XjeH+z0zgwYUTuGhUP/77o/3c8dRaauv9E/LvbjtKUXlNp1bpumXmcA4dq2LF7vC32ELVNFbbi4CHQCt+1b5jPeJ35Z1tR0nvHcfUDqxH25zY6CgWjO/P+9sLwz67pAJePvWXDfn88LVtXDlpAF+dk0X/4GryveJiuOb8wfz4c5NZtrOI+xdvwrme01ptzaLVBxmcktCpk2tXThpAWlJci0s8RqJlO4sYlJIQ8qIW7XXZ+P6crKmP+G6aipp63sst5MpJA7tsqCgEumlKKmpZvS+8yxgq4AWAvUUneWDxZmZkpfHwzRcQE3X2r8YtM4fxT5ePZfH6fB71wWX6B0oqPl2kIboT/7njY6L54vRM3sk9SmEPmEmxtr6RFbuLuWRs+6bEbY+LR6fTOz6Gt7dG9tTKS7Ydoaqugb+fNqRLX/ey8QNIiovm5ZzwnptRwAvVdQ3csyiH+JgofnXzVOJiWv61+Oalo7l68iAeensHa3r4IsuLVh8kOsq48cKW550J1U0zhtHQ6Hh+7aEuqMxbS3cUUl5dzxWTuqbPuTkJsdEsGN+fJVuPhr2bojUv5xxmSGoi04d13bUAAIlx0SycPIg3Nh8J6wIxCnjhJ2/ksq3gBD/74hQGpbR+otHM+MkXJpPZN5FvLsrpsYssn6iuY9Gqg1wxcQADgl1RnTEiPYm5Y9J58uMDVEf42q2vbMinX1LcpxfleOWqSQMpqaj9dL6bSFNUXsNHu4v57NTBXdo90+TzF2RysqY+rAvEKODPsCmvlAcWb+Lah1fwsyU7+P3yvXy4s4iTNeEf0+qFt7Yc4amVB7hjzoiQRxEkJ8Ty61su4FhlLd9+fmOPGj3S5JmVByivrucb88+e872jvjF/NMUnayK6FV9WVce7uYVcO2Vwpy7JD8X8cRkkxEbxck6+p/vpqEWrDtLQ6Pj8BZmevP7MEWkMSU3kz2vC9/uggA86XFrFHU+u4bpHPuLVDYdJ7RVLZt9EausbeXvrER56ezvLdhZF9J+b7ZV3vJLvvbiR8zNT+P5V49v13POGpPDv105k2c4ifvvhHo8q9EZVbQNPrNjHJWMzmNyFF/nMGpnG9OF9efTDvRE7euTNzQXU1jfyuS7uc25OUnwMn5s2hFc25FNaWev5/tqjuq6BZz7Zz4JxGZ6daI6KMm6fPZyP95SwOS88Sxkq4AkMlbvyF8v4eE8J379qPJ88eBnP3DGTmy4cxt0LRnPfZWMY078Pb209wu+X7+2RVy2eqba+kW89m0Ojg4dvntZqv3tLbpkxjOumDOY/l+zoUXOPPLpsDyUVtdxzade13iHQffXNS0eTX1rF0yv3d+lrd4WGRsfjK/YxfmCfLr96tSVfuiiL6rrGsLZim/NKTj7FJ2u5c+5IT/dz68xh9EmI4XdhagSd0wHvnOOR93dx5zNryUpP4u375vH1+aPokxB72uP6Jydw26zh3HjhUArKqrju4Y/YcKg0PEV3kf/7122sP1jK//vC+Qzvl9Sh1zAzfvz5yWT1S+Jbz+b0iLnR845X8tule7h68qAumwP9VJeMzeCSsRn86t1dEXc83txSwO7Ck9y9YLRno2fONH5gMjNHpPH0ygMR81dNdV0Dv1m6h0mDkz+96tYrfRJiuX3WcN7YUsDuwu6fuuGcDfiKmnruWZTDz5bs5LNTBvPCP85mWL/W56GYkpnKP14yipho44bfreT5CGuVhOr5NYd4auUB7pw7gqvPH9Sp1+odH8Ovb72Asqo6vv3nDRHdheWc44evbsUMHrx6gif7MDP+7dqJVNc38B9/3RYx1ws0NDoeeX83ozKSWDi5cz/z9vrGgsBfNX9Ysa9b99uSRz/cy8FjlTy4cEK3fNB9dc4I+sTH8C8vb+n234dzMuB3F5bz2V9/xJtbCnjgM+P5xY1TQ56PY1BKIq/dM4cLR/Tley9t4oHFmyJ+1MSp3t56hPsXb2LumPR297u3ZMKgZP73ZyexYncxP3pta8SE2pkeX76Pd3ML+e4V4zo0LUGoRmX05p4FY/jLhsM8FyGNgMeW7WX7kXLu+7uxnRrz3xGXjM3g8okDePj9XWGf02hv0Ul+s3Q315w/iIvbubB2R6X3jufBhRNYte9Yt5+AP+cC/tWNh7nukY8orazlj3fM5GuXjGr3p3jfpDie+soMvj5/FM+uPsQNj67k0LFKjyruOq/k5PPNRTlMzkzld7dNb9fMiW25IXsod80bydMrD/CDV7ZQH2Fz1ryXe5SfvrWdqyYN5I45Izzf3z2XjmbumHT+/dWtfBzmKQw255Xx83d2sHDyQK7p5F9sHfVv10yk0TnufS4nbA2i4xW13PHUWpLiY/jB1RO7dd83ZA9l5og0/v3Vrd26GMo5E/CHS6v4xp/W8a1nc5g4KJnXvzmXizrxCR4THcX3rxrPo7dPZ19RBVf+chmPL4/M0RPVdQ38+I1c7vvzBqYNS+Xpr8xodc3RjjAzHvjMeL4+fxR/WnWQWx5fRUFZZMxA+dK6PL72zDomDkrmoS+e3y1/lkdHGb+6aRoj+iXx5SfX8ObmAs/32ZzNeWV86b9Xk947nh9/bnK39b2faWhaLx66fgpr9h/nvuc2dHvIF56o5itPriH/eBWP3T6dgSmdv/ahPaKijF/fegEDkhO446k1rD/YPSHvacCb2VVmtsPMdpvZ/V7uqznOOTbnlfHA4s3Mf2gp7+UW8p3Lx/LsXbO67Ad85aSBvHHvXGaOSOM//prLgp8t5Q8r9kXEBUDVdQ08v+YQV/5yGY8t28stM4fx9B0zSOkV2/aTO8DM+P5V4/n5DVPYlFfKgp8t5T+X7OBIWXhGHe06Ws7XnlnLd17YyPThfVl058yzTqB7KS0pjufumsWEQcl8/U/r+dazOezrpqXcausbeXz5Xm56bCWJsdE8e+csUnvFdcu+W3LtlMH86zUTeWvrEf7+1x+R0w0h19DoeCUnn6sfXsGOI+U8fMs0sj04uR6K9N7xPPPVmfSOj+GG363kF+/spKyqztN9mlf9pWYWDewELgfygDXAzc65bS09Jzs7261du7bd+6qsrafkZC3HKmopqahhf3El2wpO8MneEvKOVxEXHcX12Zl8/ZJR7ZrQv6XJo5qbedA5x4c7i3j4/d2sO3Cc6Cjj/MwULhjWl6z0JLL69WJQSiJ9EmJIio8hMTaaKKPDLSrnHM5Bg3NU1jRQXlPHiap6jpyoYtfRk+QcLGX5riIqahuYNDiZBxdOaFefY3PvvT0zLh46VslP39rOXzcVEGWBVYNmjEhjeL9eDEvrxeDURBLjokmIjSY+JoqYKGv3sXDOUdfgqK5voLy6noLSKvJLq9hTeJIVu4tZf7CU+Jgovn35WO6YM6JTF/Z05njU1Dfw26V7+M0He6htaGRGVhqzR/VjdP/eDE5NZHBqAr3iYoiPiSI2OqrVPvKmn7sDGoO3K2vrOVZRy/HKWvYVV7L+4HHe3nKEkopa5o/L4KefP79TDZrO/i6c6YPthfzzixspPlnLlKGpzB+bwYRByQxMSWBAcjwpibHEREURG93274RzjkYXOBYnq+sprarjeGUt+4sryDlYynu5RzlcVs2EQcn88sapjBvYJ+Q62/P/vz3Kqur4l5c38/qmAnrHxzB/XAbzxmTwhemZHTo/YmbrnHPZzd7nYcDPBn7onLsy+P0DAM65n7T0nI4EvHOOsT94k7qG099HWlIcF2b1Zf64/iw8b1CHWq0d/QHvPFrOaxsPs2J3MbkFJ6iua73bJsogyowoMyx42/G3/8jN/aduy5DUROaNzeDa8wcxe1S/dodnV/2n3l9cwYvr8li2q4gt+WW0NMgmyjhrgjPH6Q8+8303tHAsogwmZ6Zy5aQB3Jg9lH6949td95m64ngUnqjmuTWHWLLtCFsPn2jx5xhlgS7AjvzcAXrFBeaBuTF7KPO6YDrgrg54CCwo8+K6PBavz2fr4ZZ/L6KjjJhg6AWOxd8Cva3jkRAbxZzRGVw/fQhXTGz/bJFeBXyTLfllPL1yP0t3FBEbHcWK7y/oUIMvXAF/PXCVc+4fgt/fDsx0zt1zxuPuAu4KfjsO2OFJQR2TDkT2fKfdQ8dBxwB0DJpE2nEY7pxr9pO8a8+0na65j6KzPk2cc48Bj3lYR4eZ2dqWPhnPJToOOgagY9CkJx0HL0+y5gGnzsOaCRz2cH8iInIKLwN+DTDGzEaYWRxwE/Cqh/sTEZFTeNZF45yrN7N7gLeBaOAJ59xWr/bnkYjsOgoDHQcdA9AxaNJjjoNnJ1lFRCS8zpkrWUVEzjUKeBERn1LAN8PMnjCzQjPbEu5awsXMhprZB2aWa2ZbzezecNcUDmaWYGarzWxj8Dj8KNw1hYuZRZtZjpm9Hu5awsHM9pvZZjPbYGbtv+Q+DNQH3wwzmwecBJ52zp0X7nrCwcwGAYOcc+vNrA+wDvj71qaa8CMLXFqY5Jw7aWaxwArgXufcJ2EurduZ2T8B2UCyc+6acNfT3cxsP5DtnIuki5xapRZ8M5xzy4DIXAq+mzjnCpxz64O3y4FcwPuFPCOMCzgZ/DY2+HXOtYrMLBO4Gng83LVI6BTw0iYzywKmAavCXEpYBLsmNgCFwDvOuXPxOPwS+B4QefNhdx8HLDGzdcEpViKeAl5aZWa9gZeA+5xzJ8JdTzg45xqcc1MJXI09w8zOqW47M7sGKHTOrQt3LWF2sXPuAuAzwN3BrtyIpoCXFgX7nF8C/uScWxzuesLNOVcKLAWuCm8l3e5i4LpgH/RzwKVm9sfwltT9nHOHg/8WAi8DM8JbUdsU8NKs4MnFPwC5zrmfh7uecDGzDDNLDd5OBP4O2B7WorqZc+4B51ymcy6LwJQj7zvnbgtzWd3KzJKCgw0wsyTgCiDiR9kp4JthZs8CK4FxZpZnZneEu6YwuBi4nUBrbUPwa2G4iwqDQcAHZraJwPxK7zjnzslhgue4AcAKM9sIrAb+6px7K8w1tUnDJEVEfEoteBERn1LAi4j4lAJeRMSnFPAiIj6lgBcR8SkFvHQ7M2sIDrvcaGbrzeyicNcUKjN70syu9+B1s5pmLzWz+U0zNprZdWZ2f1fvT84Nni3ZJ9KKquCl/5jZlcBPgEvCWlGEcs69itYylg5SC17CLRk4DoF5b8zsvWCrfrOZfbbpQWb2r2a23czeMbNnzey7we0XmtkmM1tpZg+d0grOMrPlwdf69K8EM4sys98E53Z/3czeaGqRm9l0M/swOJnU28Epk5szz8w+NrO9pzy32dqDdeSa2e+D+1wSvCK2aX8bzWwlcHdzOzKzL5vZI8HbT5rZfzWz7xbfk5zjnHP60le3fgENwAYCl/yXAdOD22MIzDUOkA7sBozAHOQbgESgD7AL+G7wcVuAi4K3fwpsCd7uBSQEb48B1gZvXw+8QaBxM5DAh8v1BKYB/hjICD7uRgILxZ9Z+5PAC8HnTwR2t1F7FlAPTA3e9zxwW/D2JuCS4O2HTql9PvB68PaXgUfa2Hez7yncP2d9hf9LXTQSDqd20cwGng7O0GjAj4Oz9DUSmH9+ADAH+Itzrir4nNeC/6YCfZxzHwdfdxHQtBBFLPCImU0l8IEyNrh9DvCCc64ROGJmHwS3jwPOA94JTMNDNFDQQv2vBJ+/zcwGBLe1VDvAPufchuDtdUCWmaUAqc65D4PbnyEwS2Fbmtt3S+9JznEKeAkr59xKM0sHMoCFwX+nO+fqgrMXJhAIz+a0tB3g28BRYAqBlm11G88xYKtzbnYIZdc0U8OtNF/7mY9vIPCXiNGxhUOa23drx0HOYeqDl7Ays/EEWsslQAqBecfrzGwBMDz4sBXAtRZYH7U3gZWFcM4dB8rNbFbwcTed8tIpQEGwVXt7cB9Nr/WFYL/1AALdIQA7gIzgXxSYWayZTWrHW2mp9ma5wNTDZWY2J7jp1nbs60wtvSc5x6kFL+GQaIEVkiDQ+vySc67BzP4EvGaBBY03EJyW1zm3xsxeBTYCB4C1BPruAe4Afm9mFQTmam/a/hvgJTP7IvABUBHc/hJwGYG++50EVqkqc87VBk9M/lew+ySGwCpGW0N8T83W3oavAE+YWSXwdoj7aU6z76kTryc+odkkpUcws94usPB1L2AZcJcLLAje2wXXTA2OFx/knLs3xNfqR2Dq14udc0c8fxMe8uN7ks5TC156isfMbCKBfu2nXHBBcOBqM3uAwO/yAQKjTtryevAEbRzwf3wShH58T9JJasGLiPiUTrKKiPiUAl5ExKcU8CIiPqWAFxHxKQW8iIhP/Q/CUIdifIxWcgAAAABJRU5ErkJggg==",
-                        "text/plain": [
-                            "<Figure size 432x288 with 1 Axes>"
-                        ]
-                    },
-                    "metadata": {
-                        "needs_background": "light"
-                    },
-                    "output_type": "display_data"
-                }
-            ],
-            "source": [
-                "sns.distplot(numeric_data[\"Baggage handling\"])\n"
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "### Checkin service"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 25,
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "text/plain": [
-                            "<AxesSubplot:xlabel='Checkin service', ylabel='Density'>"
-                        ]
-                    },
-                    "execution_count": 25,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                },
-                {
-                    "data": {
-                        "image/png": 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",
-                        "text/plain": [
-                            "<Figure size 432x288 with 1 Axes>"
-                        ]
-                    },
-                    "metadata": {
-                        "needs_background": "light"
-                    },
-                    "output_type": "display_data"
-                }
-            ],
-            "source": [
-                "sns.distplot(numeric_data[\"Checkin service\"])"
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "### Sauberkeit"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 26,
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "text/plain": [
-                            "<AxesSubplot:xlabel='Cleanliness', ylabel='Density'>"
-                        ]
-                    },
-                    "execution_count": 26,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                },
-                {
-                    "data": {
-                        "image/png": 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",
-                        "text/plain": [
-                            "<Figure size 432x288 with 1 Axes>"
-                        ]
-                    },
-                    "metadata": {
-                        "needs_background": "light"
-                    },
-                    "output_type": "display_data"
-                }
-            ],
-            "source": [
-                "sns.distplot(numeric_data[\"Cleanliness\"])"
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "### Online boarding"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 27,
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "text/plain": [
-                            "<AxesSubplot:xlabel='Online boarding', ylabel='Density'>"
-                        ]
-                    },
-                    "execution_count": 27,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                },
-                {
-                    "data": {
-                        "image/png": 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",
-                        "text/plain": [
-                            "<Figure size 432x288 with 1 Axes>"
-                        ]
-                    },
-                    "metadata": {
-                        "needs_background": "light"
-                    },
-                    "output_type": "display_data"
-                }
-            ],
-            "source": [
-                "sns.distplot(numeric_data[\"Online boarding\"])"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 28,
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "text/plain": [
-                            "<AxesSubplot:>"
-                        ]
-                    },
-                    "execution_count": 28,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                },
-                {
-                    "data": {
-                        "image/png": 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",
-                        "text/plain": [
-                            "<Figure size 1080x576 with 2 Axes>"
-                        ]
-                    },
-                    "metadata": {
-                        "needs_background": "light"
-                    },
-                    "output_type": "display_data"
-                }
-            ],
-            "source": [
-                "# correlation between numeric variables\n",
-                "fig, ax = plt.subplots(figsize=(15,8))\n",
-                "feature_corr = numeric_data.drop(\"Arrival Delay in Minutes\", axis=1).corr()\n",
-                "sns.heatmap(feature_corr, annot=True, cmap='coolwarm')"
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "Die Korrelationsmatrix zeigt, dass die Attribute \"Flugentfernung\", \"Sitzkomfort\" und \"Alter\" eine kritische positive Korrelation von \u00fcber 0,8 aufweisen. Dieser Zusammenhang wird sp\u00e4ter im Rahmen der Multikollinearit\u00e4t erneut untersucht und muss entfernt werden."
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "## 2.4.2. Kategoriale Merkmale"
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "Die Zielvariable Zufriedenheit wird auf Null (unzufrieden) und Eins (zufrieden) abgebildet, damit eine grafische Darstellung mit den kategorialen Variablen erstellt werden kann."
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 29,
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "text/plain": [
-                            "count        129487\n",
-                            "unique            2\n",
-                            "top       satisfied\n",
-                            "freq          70882\n",
-                            "Name: satisfaction, dtype: object"
-                        ]
-                    },
-                    "execution_count": 29,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                }
-            ],
-            "source": [
-                "raw_data['satisfaction'].describe()"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 30,
-            "metadata": {},
-            "outputs": [
-                {
-                    "name": "stdout",
-                    "output_type": "stream",
-                    "text": [
-                        "satisfied       70882\n",
-                        "dissatisfied    58605\n",
-                        "Name: satisfaction, dtype: int64 \n",
-                        "\n",
-                        "Female    65703\n",
-                        "Male      63784\n",
-                        "Name: Gender, dtype: int64 \n",
-                        "\n",
-                        "Loyal Customer       105773\n",
-                        "disloyal Customer     23714\n",
-                        "Name: Customer Type, dtype: int64 \n",
-                        "\n",
-                        "Business travel    89445\n",
-                        "Personal Travel    40042\n",
-                        "Name: Type of Travel, dtype: int64 \n",
-                        "\n",
-                        "Business    61990\n",
-                        "Eco         58117\n",
-                        "Eco Plus     9380\n",
-                        "Name: Class, dtype: int64 \n",
-                        "\n"
-                    ]
-                }
-            ],
-            "source": [
-                "category = [\"satisfaction\", \"Gender\", \"Customer Type\", \"Type of Travel\", \"Class\"]\n",
-                "for c in category:\n",
-                "    print (\"{} \\n\".format(raw_data[c].value_counts()))\n",
-                "raw_data['satisfaction']=raw_data['satisfaction'].map({'satisfied':1,'dissatisfied':0})"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 31,
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "image/png": 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",
-                        "text/plain": [
-                            "<Figure size 432x288 with 1 Axes>"
-                        ]
-                    },
-                    "metadata": {
-                        "needs_background": "light"
-                    },
-                    "output_type": "display_data"
-                }
-            ],
-            "source": [
-                "sn.countplot(x=\"satisfaction\", data=raw_data,palette= [\"orange\",\"green\"])\n",
-                "plt.title('Airlines Customer satisfaction Count')\n",
-                "plt.xticks([0,1],['Dissatisfied',\"Satisfied\"])\n",
-                "plt.show()"
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "Aus dem Diagramm geht hervor, dass insgesamt 70000 Kunden mit den Dienstleistungen von AIRCO Airlines zufrieden sind und etwa 60000 Kunden unzufrieden sind. Der Datensatz unserer Zielvariablen ist ausgeglichen"
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "Die kategorischen Attribute werden in Bezug auf die Zielvariable gesetzt."
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 32,
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "image/png": 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",
-                        "text/plain": [
-                            "<Figure size 1008x1008 with 4 Axes>"
-                        ]
-                    },
-                    "metadata": {
-                        "needs_background": "light"
-                    },
-                    "output_type": "display_data"
-                }
-            ],
-            "source": [
-                "fig,axs = plt.subplots(2,2,figsize=(14, 14))\n",
-                "cols=['Gender', 'Customer Type', 'Type of Travel', 'Class']\n",
-                "c=0\n",
-                "for i in range(2):\n",
-                "  for j in range(2):\n",
-                "    sn.countplot(data=raw_data,x=cols[c],hue='satisfaction',palette= [\"orange\",\"green\"],ax=axs[i][j])\n",
-                "    axs[i][j].set_title('Customer Satisfaction as per {}'.format(cols[c]))\n",
-                "    axs[i][j].legend(['Dissatisfied',\"Satisfied\"])\n",
-                "    c+=1"
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "Aus den obigen Diagrammen k\u00f6nnen wir Folgendes schlie\u00dfen:\n",
-                "\n",
-                "Weibliche Kunden, die mit AIRCO Airlines geflogen sind, sind zufriedener als m\u00e4nnliche Kunden. Loyale Kunden sind zufriedener als untreue Kunden. Personen, die aus gesch\u00e4ftlichen Gr\u00fcnden reisen, sind zufriedener als solche, die aus privaten Gr\u00fcnden reisen. Mehr Kunden reisen in der Business Class und sind auch zufriedener als diejenigen, die in der Economy Class fliegen."
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "## Korrelationsanalyse"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 33,
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "image/png": 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",
-                        "text/plain": [
-                            "<Figure size 1080x576 with 2 Axes>"
-                        ]
-                    },
-                    "metadata": {
-                        "needs_background": "light"
-                    },
-                    "output_type": "display_data"
-                }
-            ],
-            "source": [
-                "fig, ax = plt.subplots(figsize=(15,8))\n",
-                "sn.heatmap(raw_data.corr(),cmap='coolwarm',annot=True)\n",
-                "plt.show()"
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "Aus den obigen Diagrammen k\u00f6nnen wir Folgendes schlie\u00dfen:\n",
-                "\n",
-                "Weibliche Kunden, die mit AIRCO Airlines geflogen sind, sind zufriedener als m\u00e4nnliche Kunden. Loyale Kunden sind zufriedener als untreue Kunden. Personen, die aus gesch\u00e4ftlichen Gr\u00fcnden reisen, sind zufriedener als solche, die aus privaten Gr\u00fcnden reisen. Mehr Kunden reisen in der Business Class und sind auch zufriedener als diejenigen, die in der Economy Class fliegen."
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 34,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "raw_data.drop(['Flight Distance','Departure/Arrival time convenient','Gate location',\n",
-                "               'Departure Delay in Minutes','Arrival Delay in Minutes'],axis=1,inplace=True)"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 35,
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "image/png": 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",
-                        "text/plain": [
-                            "<Figure size 1080x576 with 2 Axes>"
-                        ]
-                    },
-                    "metadata": {
-                        "needs_background": "light"
-                    },
-                    "output_type": "display_data"
-                }
-            ],
-            "source": [
-                "fig, ax = plt.subplots(figsize=(15,8))\n",
-                "sn.heatmap(raw_data.corr(),cmap='coolwarm',annot=True)\n",
-                "plt.show()"
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "# 3. Datenaufbereitung"
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "## 3.1 Zielvariable (Satisfaction)"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 36,
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "text/plain": [
-                            "Text(0.5, 1.0, 'satisfied im Vergleich zur dissatisfied')"
-                        ]
-                    },
-                    "execution_count": 36,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                },
-                {
-                    "data": {
-                        "image/png": 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",
-                        "text/plain": [
-                            "<Figure size 432x288 with 1 Axes>"
-                        ]
-                    },
-                    "metadata": {},
-                    "output_type": "display_data"
-                }
-            ],
-            "source": [
-                "# Generate pie chart for Satisfaction\n",
-                "# Generate percentages\n",
-                "satisfaction_rate =raw_data.satisfaction.value_counts() / len(raw_data.satisfaction)\n",
-                "\n",
-                "# Plot preparation\n",
-                "labels = 'satisfied', 'dissatisfied'\n",
-                "fig, ax = plt.subplots()\n",
-                "ax.pie(satisfaction_rate, labels=labels, autopct='%.f%%')  \n",
-                "ax.set_title('satisfied im Vergleich zur dissatisfied')"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 37,
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "text/html": [
-                            "<div>\n",
-                            "<style scoped>\n",
-                            "    .dataframe tbody tr th:only-of-type {\n",
-                            "        vertical-align: middle;\n",
-                            "    }\n",
-                            "\n",
-                            "    .dataframe tbody tr th {\n",
-                            "        vertical-align: top;\n",
-                            "    }\n",
-                            "\n",
-                            "    .dataframe thead th {\n",
-                            "        text-align: right;\n",
-                            "    }\n",
-                            "</style>\n",
-                            "<table border=\"1\" class=\"dataframe\">\n",
-                            "  <thead>\n",
-                            "    <tr style=\"text-align: right;\">\n",
-                            "      <th></th>\n",
-                            "      <th>satisfaction</th>\n",
-                            "      <th>Age</th>\n",
-                            "      <th>Seat comfort</th>\n",
-                            "      <th>Food and drink</th>\n",
-                            "      <th>Inflight wifi service</th>\n",
-                            "      <th>Inflight entertainment</th>\n",
-                            "      <th>Online support</th>\n",
-                            "      <th>Ease of Online booking</th>\n",
-                            "      <th>On-board service</th>\n",
-                            "      <th>Leg room service</th>\n",
-                            "      <th>Baggage handling</th>\n",
-                            "      <th>Checkin service</th>\n",
-                            "      <th>Cleanliness</th>\n",
-                            "      <th>Online boarding</th>\n",
-                            "      <th>Gender_Male</th>\n",
-                            "      <th>Customer Type_disloyal Customer</th>\n",
-                            "      <th>Type of Travel_Personal Travel</th>\n",
-                            "      <th>Class_Eco</th>\n",
-                            "      <th>Class_Eco Plus</th>\n",
-                            "    </tr>\n",
-                            "  </thead>\n",
-                            "  <tbody>\n",
-                            "    <tr>\n",
-                            "      <th>0</th>\n",
-                            "      <td>1</td>\n",
-                            "      <td>65</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>2</td>\n",
-                            "      <td>4</td>\n",
-                            "      <td>2</td>\n",
-                            "      <td>3</td>\n",
-                            "      <td>3</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>3</td>\n",
-                            "      <td>5</td>\n",
-                            "      <td>3</td>\n",
-                            "      <td>2</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>0</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>1</th>\n",
-                            "      <td>1</td>\n",
-                            "      <td>47</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>2</td>\n",
-                            "      <td>2</td>\n",
-                            "      <td>3</td>\n",
-                            "      <td>4</td>\n",
-                            "      <td>4</td>\n",
-                            "      <td>4</td>\n",
-                            "      <td>2</td>\n",
-                            "      <td>3</td>\n",
-                            "      <td>2</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>2</th>\n",
-                            "      <td>1</td>\n",
-                            "      <td>15</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>2</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>2</td>\n",
-                            "      <td>2</td>\n",
-                            "      <td>3</td>\n",
-                            "      <td>3</td>\n",
-                            "      <td>4</td>\n",
-                            "      <td>4</td>\n",
-                            "      <td>4</td>\n",
-                            "      <td>2</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>0</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>3</th>\n",
-                            "      <td>1</td>\n",
-                            "      <td>60</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>3</td>\n",
-                            "      <td>4</td>\n",
-                            "      <td>3</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>4</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>3</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>0</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>4</th>\n",
-                            "      <td>1</td>\n",
-                            "      <td>70</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>4</td>\n",
-                            "      <td>3</td>\n",
-                            "      <td>4</td>\n",
-                            "      <td>2</td>\n",
-                            "      <td>2</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>2</td>\n",
-                            "      <td>4</td>\n",
-                            "      <td>2</td>\n",
-                            "      <td>5</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>0</td>\n",
-                            "    </tr>\n",
-                            "  </tbody>\n",
-                            "</table>\n",
-                            "</div>"
-                        ],
-                        "text/plain": [
-                            "   satisfaction  Age  Seat comfort  Food and drink  Inflight wifi service  \\\n",
-                            "0             1   65             0               0                      2   \n",
-                            "1             1   47             0               0                      0   \n",
-                            "2             1   15             0               0                      2   \n",
-                            "3             1   60             0               0                      3   \n",
-                            "4             1   70             0               0                      4   \n",
-                            "\n",
-                            "   Inflight entertainment  Online support  Ease of Online booking  \\\n",
-                            "0                       4               2                       3   \n",
-                            "1                       2               2                       3   \n",
-                            "2                       0               2                       2   \n",
-                            "3                       4               3                       1   \n",
-                            "4                       3               4                       2   \n",
-                            "\n",
-                            "   On-board service  Leg room service  Baggage handling  Checkin service  \\\n",
-                            "0                 3                 0                 3                5   \n",
-                            "1                 4                 4                 4                2   \n",
-                            "2                 3                 3                 4                4   \n",
-                            "3                 1                 0                 1                4   \n",
-                            "4                 2                 0                 2                4   \n",
-                            "\n",
-                            "   Cleanliness  Online boarding  Gender_Male  Customer Type_disloyal Customer  \\\n",
-                            "0            3                2            0                                0   \n",
-                            "1            3                2            1                                0   \n",
-                            "2            4                2            0                                0   \n",
-                            "3            1                3            0                                0   \n",
-                            "4            2                5            0                                0   \n",
-                            "\n",
-                            "   Type of Travel_Personal Travel  Class_Eco  Class_Eco Plus  \n",
-                            "0                               1          1               0  \n",
-                            "1                               1          0               0  \n",
-                            "2                               1          1               0  \n",
-                            "3                               1          1               0  \n",
-                            "4                               1          1               0  "
-                        ]
-                    },
-                    "execution_count": 37,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                }
-            ],
-            "source": [
-                "# Dummy creation\n",
-                "data_enc = pd.get_dummies(raw_data, drop_first=True)\n",
-                "data_enc.head()"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 38,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "# Zielvariable und Pr\u00e4diktoren trennen\n",
-                "y = data_enc[\"satisfaction\"]\n",
-                "X = data_enc.drop(labels = [\"satisfaction\"], axis = 1)"
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "## 3.2. Umkodierung von kategorialen Variablen"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 39,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "satisfaction_mapping = {\"satisfied\": 1,\"dissatisfied\": 0 }\n",
-                "raw_data['satisfaction']  = raw_data['satisfaction'].map(satisfaction_mapping)\n",
-                "\n",
-                "#Mapping Male and Female in number \n",
-                "Gender_mapping = {\"Male\": 1,\"Female\": 2 }\n",
-                "raw_data['Gender']  = raw_data['Gender'].map(Gender_mapping)\n",
-                "\n",
-                "#Mapping Loyal and disloyal in number \n",
-                "Customer_Type_mapping = {\"Loyal Customer\": 1,\"disloyal Customer\": 0 }\n",
-                "raw_data['Customer Type']  = raw_data['Customer Type'].map(Customer_Type_mapping)\n",
-                "\n",
-                "#Mapping Business travel and Business travel in number \n",
-                "Type_of_Travel_mapping = {\"Business travel\": 1,\"Personal Travel\": 2 }\n",
-                "raw_data['Type of Travel']  = raw_data['Type of Travel'].map(Type_of_Travel_mapping)\n",
-                "\n",
-                "#Mapping Business and Eco and Eco plus in number \n",
-                "Class_mapping = {\"Business\": 1,\"Eco\": 3, \"Eco Plus\": 2 }\n",
-                "raw_data['Class']  = raw_data['Class'].map(Class_mapping)"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 40,
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "text/html": [
-                            "<div>\n",
-                            "<style scoped>\n",
-                            "    .dataframe tbody tr th:only-of-type {\n",
-                            "        vertical-align: middle;\n",
-                            "    }\n",
-                            "\n",
-                            "    .dataframe tbody tr th {\n",
-                            "        vertical-align: top;\n",
-                            "    }\n",
-                            "\n",
-                            "    .dataframe thead th {\n",
-                            "        text-align: right;\n",
-                            "    }\n",
-                            "</style>\n",
-                            "<table border=\"1\" class=\"dataframe\">\n",
-                            "  <thead>\n",
-                            "    <tr style=\"text-align: right;\">\n",
-                            "      <th></th>\n",
-                            "      <th>satisfaction</th>\n",
-                            "      <th>Age</th>\n",
-                            "      <th>Seat comfort</th>\n",
-                            "      <th>Food and drink</th>\n",
-                            "      <th>Inflight wifi service</th>\n",
-                            "      <th>Inflight entertainment</th>\n",
-                            "      <th>Online support</th>\n",
-                            "      <th>Ease of Online booking</th>\n",
-                            "      <th>On-board service</th>\n",
-                            "      <th>Leg room service</th>\n",
-                            "      <th>Baggage handling</th>\n",
-                            "      <th>Checkin service</th>\n",
-                            "      <th>Cleanliness</th>\n",
-                            "      <th>Online boarding</th>\n",
-                            "      <th>Gender_Male</th>\n",
-                            "      <th>Customer Type_disloyal Customer</th>\n",
-                            "      <th>Type of Travel_Personal Travel</th>\n",
-                            "      <th>Class_Eco</th>\n",
-                            "      <th>Class_Eco Plus</th>\n",
-                            "    </tr>\n",
-                            "  </thead>\n",
-                            "  <tbody>\n",
-                            "    <tr>\n",
-                            "      <th>0</th>\n",
-                            "      <td>1</td>\n",
-                            "      <td>65</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>2</td>\n",
-                            "      <td>4</td>\n",
-                            "      <td>2</td>\n",
-                            "      <td>3</td>\n",
-                            "      <td>3</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>3</td>\n",
-                            "      <td>5</td>\n",
-                            "      <td>3</td>\n",
-                            "      <td>2</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>0</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>1</th>\n",
-                            "      <td>1</td>\n",
-                            "      <td>47</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>2</td>\n",
-                            "      <td>2</td>\n",
-                            "      <td>3</td>\n",
-                            "      <td>4</td>\n",
-                            "      <td>4</td>\n",
-                            "      <td>4</td>\n",
-                            "      <td>2</td>\n",
-                            "      <td>3</td>\n",
-                            "      <td>2</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>2</th>\n",
-                            "      <td>1</td>\n",
-                            "      <td>15</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>2</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>2</td>\n",
-                            "      <td>2</td>\n",
-                            "      <td>3</td>\n",
-                            "      <td>3</td>\n",
-                            "      <td>4</td>\n",
-                            "      <td>4</td>\n",
-                            "      <td>4</td>\n",
-                            "      <td>2</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>0</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>3</th>\n",
-                            "      <td>1</td>\n",
-                            "      <td>60</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>3</td>\n",
-                            "      <td>4</td>\n",
-                            "      <td>3</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>4</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>3</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>0</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>4</th>\n",
-                            "      <td>1</td>\n",
-                            "      <td>70</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>4</td>\n",
-                            "      <td>3</td>\n",
-                            "      <td>4</td>\n",
-                            "      <td>2</td>\n",
-                            "      <td>2</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>2</td>\n",
-                            "      <td>4</td>\n",
-                            "      <td>2</td>\n",
-                            "      <td>5</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>0</td>\n",
-                            "    </tr>\n",
-                            "  </tbody>\n",
-                            "</table>\n",
-                            "</div>"
-                        ],
-                        "text/plain": [
-                            "   satisfaction  Age  Seat comfort  Food and drink  Inflight wifi service  \\\n",
-                            "0             1   65             0               0                      2   \n",
-                            "1             1   47             0               0                      0   \n",
-                            "2             1   15             0               0                      2   \n",
-                            "3             1   60             0               0                      3   \n",
-                            "4             1   70             0               0                      4   \n",
-                            "\n",
-                            "   Inflight entertainment  Online support  Ease of Online booking  \\\n",
-                            "0                       4               2                       3   \n",
-                            "1                       2               2                       3   \n",
-                            "2                       0               2                       2   \n",
-                            "3                       4               3                       1   \n",
-                            "4                       3               4                       2   \n",
-                            "\n",
-                            "   On-board service  Leg room service  Baggage handling  Checkin service  \\\n",
-                            "0                 3                 0                 3                5   \n",
-                            "1                 4                 4                 4                2   \n",
-                            "2                 3                 3                 4                4   \n",
-                            "3                 1                 0                 1                4   \n",
-                            "4                 2                 0                 2                4   \n",
-                            "\n",
-                            "   Cleanliness  Online boarding  Gender_Male  Customer Type_disloyal Customer  \\\n",
-                            "0            3                2            0                                0   \n",
-                            "1            3                2            1                                0   \n",
-                            "2            4                2            0                                0   \n",
-                            "3            1                3            0                                0   \n",
-                            "4            2                5            0                                0   \n",
-                            "\n",
-                            "   Type of Travel_Personal Travel  Class_Eco  Class_Eco Plus  \n",
-                            "0                               1          1               0  \n",
-                            "1                               1          0               0  \n",
-                            "2                               1          1               0  \n",
-                            "3                               1          1               0  \n",
-                            "4                               1          1               0  "
-                        ]
-                    },
-                    "execution_count": 40,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                }
-            ],
-            "source": [
-                "data_enc.head()"
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "## 3.3. Test auf Multikollinearit\u00e4t"
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "Um ein korrektes Funktionieren der sp\u00e4teren Regression zu gew\u00e4hrleisten, darf keine Multikollinearit\u00e4t zwischen den Variablen bestehen. Das Vorhandensein einer solchen wird mit Hilfe der Bibliothek Statsmodel \u00fcberpr\u00fcft."
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 41,
-            "metadata": {},
-            "outputs": [
-                {
-                    "name": "stdout",
-                    "output_type": "stream",
-                    "text": [
-                        "                            feature        VIF\n",
-                        "0                               Age   7.188491\n",
-                        "1                      Seat comfort  12.285935\n",
-                        "2                    Food and drink  10.305150\n",
-                        "3             Inflight wifi service  13.704495\n",
-                        "4            Inflight entertainment  12.675092\n",
-                        "5                    Online support  18.920383\n",
-                        "6            Ease of Online booking  29.663559\n",
-                        "7                  On-board service  14.990944\n",
-                        "8                  Leg room service  11.194898\n",
-                        "9                  Baggage handling  21.004540\n",
-                        "10                  Checkin service   9.552105\n",
-                        "11                      Cleanliness  22.375038\n",
-                        "12                  Online boarding  20.494307\n",
-                        "13                      Gender_Male   1.944395\n",
-                        "14  Customer Type_disloyal Customer   1.735878\n",
-                        "15   Type of Travel_Personal Travel   2.791512\n",
-                        "16                        Class_Eco   3.174314\n",
-                        "17                   Class_Eco Plus   1.259395\n"
-                    ]
-                }
-            ],
-            "source": [
-                "from statsmodels.stats.outliers_influence import variance_inflation_factor \n",
-                "  \n",
-                "# unabh\u00e4ngige Variablen\n",
-                "vif_test = data_enc.drop(\"satisfaction\", axis=1)\n",
-                "  \n",
-                "# VIF dataframe \n",
-                "vif_data = pd.DataFrame() \n",
-                "vif_data[\"feature\"] = vif_test.columns \n",
-                "  \n",
-                "# VIF f\u00fcr jedes Feature \n",
-                "vif_data[\"VIF\"] = [variance_inflation_factor(vif_test.values, i) \n",
-                "                          for i in range(len(vif_test.columns))] \n",
-                "  \n",
-                "print(vif_data)"
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "Die \"Einfachheit der Online-Buchung\" hat den h\u00f6chsten VIF und wird aus dem Datensatz entfernt."
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 42,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "data_enc.drop(\"Ease of Online booking\", axis=1, inplace=True)"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 43,
-            "metadata": {},
-            "outputs": [
-                {
-                    "name": "stdout",
-                    "output_type": "stream",
-                    "text": [
-                        "                            feature        VIF\n",
-                        "0                               Age   7.136461\n",
-                        "1                      Seat comfort  12.005266\n",
-                        "2                    Food and drink  10.130276\n",
-                        "3             Inflight wifi service  12.319654\n",
-                        "4            Inflight entertainment  12.550334\n",
-                        "5                    Online support  17.935242\n",
-                        "6                  On-board service  14.187132\n",
-                        "7                  Leg room service  10.964215\n",
-                        "8                  Baggage handling  20.620740\n",
-                        "9                   Checkin service   9.072649\n",
-                        "10                      Cleanliness  21.424792\n",
-                        "11                  Online boarding  17.289659\n",
-                        "12                      Gender_Male   1.925879\n",
-                        "13  Customer Type_disloyal Customer   1.679474\n",
-                        "14   Type of Travel_Personal Travel   2.750587\n",
-                        "15                        Class_Eco   3.173333\n",
-                        "16                   Class_Eco Plus   1.259395\n"
-                    ]
-                }
-            ],
-            "source": [
-                "from statsmodels.stats.outliers_influence import variance_inflation_factor \n",
-                "  \n",
-                "# unabh\u00e4ngige Variablen\n",
-                "vif_test = data_enc.drop(\"satisfaction\", axis=1)\n",
-                "  \n",
-                "# VIF dataframe \n",
-                "vif_data = pd.DataFrame() \n",
-                "vif_data[\"feature\"] = vif_test.columns \n",
-                "  \n",
-                "# VIF f\u00fcr jedes Feature \n",
-                "vif_data[\"VIF\"] = [variance_inflation_factor(vif_test.values, i) \n",
-                "                          for i in range(len(vif_test.columns))] \n",
-                "  \n",
-                "print(vif_data)"
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "\"Sauberkeit\" hat nun den h\u00f6chsten VIF und wird aus dem Datensatz entfernt."
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 44,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "data_enc.drop(\"Cleanliness\", axis=1, inplace=True)"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 45,
-            "metadata": {},
-            "outputs": [
-                {
-                    "name": "stdout",
-                    "output_type": "stream",
-                    "text": [
-                        "                            feature        VIF\n",
-                        "0                               Age   7.128113\n",
-                        "1                      Seat comfort  12.003755\n",
-                        "2                    Food and drink  10.124713\n",
-                        "3             Inflight wifi service  12.310982\n",
-                        "4            Inflight entertainment  12.549643\n",
-                        "5                    Online support  17.935093\n",
-                        "6                  On-board service  12.975502\n",
-                        "7                  Leg room service  10.634109\n",
-                        "8                  Baggage handling  16.239889\n",
-                        "9                   Checkin service   8.984176\n",
-                        "10                  Online boarding  17.284155\n",
-                        "11                      Gender_Male   1.918576\n",
-                        "12  Customer Type_disloyal Customer   1.663837\n",
-                        "13   Type of Travel_Personal Travel   2.741061\n",
-                        "14                        Class_Eco   3.173333\n",
-                        "15                   Class_Eco Plus   1.259281\n"
-                    ]
-                }
-            ],
-            "source": [
-                "from statsmodels.stats.outliers_influence import variance_inflation_factor \n",
-                "  \n",
-                "# independant variables\n",
-                "vif_test = data_enc.drop(\"satisfaction\", axis=1)\n",
-                "  \n",
-                "# VIF dataframe \n",
-                "vif_data = pd.DataFrame() \n",
-                "vif_data[\"feature\"] = vif_test.columns \n",
-                "  \n",
-                "# VIF for each feature\n",
-                "vif_data[\"VIF\"] = [variance_inflation_factor(vif_test.values, i) \n",
-                "                          for i in range(len(vif_test.columns))] \n",
-                "  \n",
-                "print(vif_data)"
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "\"Online-Support\" hat nun den h\u00f6chsten VIF und wird aus dem Datensatz entfernt."
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 46,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "data_enc.drop(\"Online support\", axis=1, inplace=True)"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 47,
-            "metadata": {},
-            "outputs": [
-                {
-                    "name": "stdout",
-                    "output_type": "stream",
-                    "text": [
-                        "                            feature        VIF\n",
-                        "0                               Age   7.017431\n",
-                        "1                      Seat comfort  11.989293\n",
-                        "2                    Food and drink  10.115398\n",
-                        "3             Inflight wifi service  11.435636\n",
-                        "4            Inflight entertainment  11.753455\n",
-                        "5                  On-board service  12.964521\n",
-                        "6                  Leg room service  10.603455\n",
-                        "7                  Baggage handling  16.236694\n",
-                        "8                   Checkin service   8.919686\n",
-                        "9                   Online boarding  14.036032\n",
-                        "10                      Gender_Male   1.916824\n",
-                        "11  Customer Type_disloyal Customer   1.660199\n",
-                        "12   Type of Travel_Personal Travel   2.740816\n",
-                        "13                        Class_Eco   3.172096\n",
-                        "14                   Class_Eco Plus   1.258892\n"
-                    ]
-                }
-            ],
-            "source": [
-                "from statsmodels.stats.outliers_influence import variance_inflation_factor \n",
-                "  \n",
-                "# independant variables\n",
-                "vif_test = data_enc.drop(\"satisfaction\", axis=1)\n",
-                "  \n",
-                "# VIF dataframe \n",
-                "vif_data = pd.DataFrame() \n",
-                "vif_data[\"feature\"] = vif_test.columns \n",
-                "  \n",
-                "# VIF for each Feature \n",
-                "vif_data[\"VIF\"] = [variance_inflation_factor(vif_test.values, i) \n",
-                "                          for i in range(len(vif_test.columns))] \n",
-                "  \n",
-                "print(vif_data)"
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "\"Baggage handling\" has the highest VIF and will be removed from data frame."
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 48,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "data_enc.drop(\"Baggage handling\", axis=1, inplace=True)"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 49,
-            "metadata": {},
-            "outputs": [
-                {
-                    "name": "stdout",
-                    "output_type": "stream",
-                    "text": [
-                        "                            feature        VIF\n",
-                        "0                               Age   6.989177\n",
-                        "1                      Seat comfort  11.963822\n",
-                        "2                    Food and drink  10.111828\n",
-                        "3             Inflight wifi service  11.424106\n",
-                        "4            Inflight entertainment  11.748013\n",
-                        "5                  On-board service  10.441115\n",
-                        "6                  Leg room service   9.657004\n",
-                        "7                   Checkin service   8.675751\n",
-                        "8                   Online boarding  14.002870\n",
-                        "9                       Gender_Male   1.898877\n",
-                        "10  Customer Type_disloyal Customer   1.618749\n",
-                        "11   Type of Travel_Personal Travel   2.720724\n",
-                        "12                        Class_Eco   3.171792\n",
-                        "13                   Class_Eco Plus   1.258871\n"
-                    ]
-                }
-            ],
-            "source": [
-                "from statsmodels.stats.outliers_influence import variance_inflation_factor \n",
-                "  \n",
-                "# independant Variables\n",
-                "vif_test = data_enc.drop(\"satisfaction\", axis=1)\n",
-                "  \n",
-                "# VIF dataframe \n",
-                "vif_data = pd.DataFrame() \n",
-                "vif_data[\"feature\"] = vif_test.columns \n",
-                "  \n",
-                "# VIF for each Feature \n",
-                "vif_data[\"VIF\"] = [variance_inflation_factor(vif_test.values, i) \n",
-                "                          for i in range(len(vif_test.columns))] \n",
-                "  \n",
-                "print(vif_data)"
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "\"Sitzkomfort\" hat nun den h\u00f6chsten VIF und wird aus dem Datenrahmen entfernt."
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 50,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "data_enc.drop(\"Seat comfort\", axis=1, inplace=True)"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 51,
-            "metadata": {},
-            "outputs": [
-                {
-                    "name": "stdout",
-                    "output_type": "stream",
-                    "text": [
-                        "                            feature        VIF\n",
-                        "0                               Age   6.969770\n",
-                        "1                    Food and drink   5.547879\n",
-                        "2             Inflight wifi service  11.395303\n",
-                        "3            Inflight entertainment  11.175782\n",
-                        "4                  On-board service  10.385238\n",
-                        "5                  Leg room service   9.628200\n",
-                        "6                   Checkin service   8.650901\n",
-                        "7                   Online boarding  13.996517\n",
-                        "8                       Gender_Male   1.898628\n",
-                        "9   Customer Type_disloyal Customer   1.618041\n",
-                        "10   Type of Travel_Personal Travel   2.720031\n",
-                        "11                        Class_Eco   3.115371\n",
-                        "12                   Class_Eco Plus   1.247721\n"
-                    ]
-                }
-            ],
-            "source": [
-                "from statsmodels.stats.outliers_influence import variance_inflation_factor \n",
-                "  \n",
-                "# independant Variables\n",
-                "vif_test = data_enc.drop(\"satisfaction\", axis=1)\n",
-                "  \n",
-                "# VIF dataframe \n",
-                "vif_data = pd.DataFrame() \n",
-                "vif_data[\"feature\"] = vif_test.columns \n",
-                "  \n",
-                "# VIF for each Feature \n",
-                "vif_data[\"VIF\"] = [variance_inflation_factor(vif_test.values, i) \n",
-                "                          for i in range(len(vif_test.columns))] \n",
-                "  \n",
-                "print(vif_data)"
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "\"Inflight Wifi Service\" hat nun den h\u00f6chsten VIF und wird aus dem Datenrahmen entfernt."
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 52,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "data_enc.drop(\"Inflight wifi service\", axis=1, inplace=True)"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 53,
-            "metadata": {},
-            "outputs": [
-                {
-                    "name": "stdout",
-                    "output_type": "stream",
-                    "text": [
-                        "                            feature        VIF\n",
-                        "0                               Age   6.924388\n",
-                        "1                    Food and drink   5.533447\n",
-                        "2            Inflight entertainment  11.108155\n",
-                        "3                  On-board service  10.375790\n",
-                        "4                  Leg room service   9.627567\n",
-                        "5                   Checkin service   8.644883\n",
-                        "6                   Online boarding   8.431370\n",
-                        "7                       Gender_Male   1.893089\n",
-                        "8   Customer Type_disloyal Customer   1.614883\n",
-                        "9    Type of Travel_Personal Travel   2.719222\n",
-                        "10                        Class_Eco   3.099101\n",
-                        "11                   Class_Eco Plus   1.244339\n"
-                    ]
-                }
-            ],
-            "source": [
-                "from statsmodels.stats.outliers_influence import variance_inflation_factor \n",
-                "  \n",
-                "# independant Variables\n",
-                "vif_test = data_enc.drop(\"satisfaction\", axis=1)\n",
-                "  \n",
-                "# VIF dataframe \n",
-                "vif_data = pd.DataFrame() \n",
-                "vif_data[\"feature\"] = vif_test.columns \n",
-                "  \n",
-                "# VIF for each Feature \n",
-                "vif_data[\"VIF\"] = [variance_inflation_factor(vif_test.values, i) \n",
-                "                          for i in range(len(vif_test.columns))] \n",
-                "  \n",
-                "print(vif_data)"
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "\"Inflight Entertainment\" hat nun den h\u00f6chsten VIF und wird aus dem Datenrahmen entfernt."
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 54,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "data_enc.drop(\"Inflight entertainment\", axis=1, inplace=True)"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 55,
-            "metadata": {},
-            "outputs": [
-                {
-                    "name": "stdout",
-                    "output_type": "stream",
-                    "text": [
-                        "                            feature        VIF\n",
-                        "0                               Age   6.790904\n",
-                        "1                    Food and drink   4.449850\n",
-                        "2                  On-board service  10.276622\n",
-                        "3                  Leg room service   9.586087\n",
-                        "4                   Checkin service   8.282892\n",
-                        "5                   Online boarding   7.159296\n",
-                        "6                       Gender_Male   1.877273\n",
-                        "7   Customer Type_disloyal Customer   1.579504\n",
-                        "8    Type of Travel_Personal Travel   2.709785\n",
-                        "9                         Class_Eco   3.089164\n",
-                        "10                   Class_Eco Plus   1.241904\n"
-                    ]
-                }
-            ],
-            "source": [
-                "from statsmodels.stats.outliers_influence import variance_inflation_factor \n",
-                "  \n",
-                "# independant Variables\n",
-                "vif_test = data_enc.drop(\"satisfaction\", axis=1)\n",
-                "  \n",
-                "# VIF dataframe \n",
-                "vif_data = pd.DataFrame() \n",
-                "vif_data[\"feature\"] = vif_test.columns \n",
-                "  \n",
-                "# VIF for each Feature \n",
-                "vif_data[\"VIF\"] = [variance_inflation_factor(vif_test.values, i) \n",
-                "                          for i in range(len(vif_test.columns))] \n",
-                "  \n",
-                "print(vif_data)"
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "\"On-board service\" hat nun die h\u00f6chste VIF und wird aus dem Datenrahmen entfernt."
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 56,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "data_enc.drop(\"On-board service\", axis=1, inplace=True)"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 57,
-            "metadata": {},
-            "outputs": [
-                {
-                    "name": "stdout",
-                    "output_type": "stream",
-                    "text": [
-                        "                           feature       VIF\n",
-                        "0                              Age  6.633037\n",
-                        "1                   Food and drink  4.414697\n",
-                        "2                 Leg room service  7.663977\n",
-                        "3                  Checkin service  7.770483\n",
-                        "4                  Online boarding  6.979633\n",
-                        "5                      Gender_Male  1.875789\n",
-                        "6  Customer Type_disloyal Customer  1.568764\n",
-                        "7   Type of Travel_Personal Travel  2.683712\n",
-                        "8                        Class_Eco  3.074457\n",
-                        "9                   Class_Eco Plus  1.239386\n"
-                    ]
-                }
-            ],
-            "source": [
-                "from statsmodels.stats.outliers_influence import variance_inflation_factor \n",
-                "  \n",
-                "# independant Variables\n",
-                "vif_test = data_enc.drop(\"satisfaction\", axis=1)\n",
-                "  \n",
-                "# VIF dataframe \n",
-                "vif_data = pd.DataFrame() \n",
-                "vif_data[\"feature\"] = vif_test.columns \n",
-                "  \n",
-                "# VIF for each Feature \n",
-                "vif_data[\"VIF\"] = [variance_inflation_factor(vif_test.values, i) \n",
-                "                          for i in range(len(vif_test.columns))] \n",
-                "  \n",
-                "print(vif_data)"
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "Keine der Variablen hat jetzt einen VIF-Wert von mehr als 10."
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "## 3.4. Merkmalsskalierung"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 58,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "# seperation of target variable and predictors\n",
-                "y = data_enc[\"satisfaction\"]\n",
-                "X = data_enc.drop(labels = [\"satisfaction\"], axis = 1)"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 59,
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "text/html": [
-                            "<div>\n",
-                            "<style scoped>\n",
-                            "    .dataframe tbody tr th:only-of-type {\n",
-                            "        vertical-align: middle;\n",
-                            "    }\n",
-                            "\n",
-                            "    .dataframe tbody tr th {\n",
-                            "        vertical-align: top;\n",
-                            "    }\n",
-                            "\n",
-                            "    .dataframe thead th {\n",
-                            "        text-align: right;\n",
-                            "    }\n",
-                            "</style>\n",
-                            "<table border=\"1\" class=\"dataframe\">\n",
-                            "  <thead>\n",
-                            "    <tr style=\"text-align: right;\">\n",
-                            "      <th></th>\n",
-                            "      <th>Age</th>\n",
-                            "      <th>Food and drink</th>\n",
-                            "      <th>Leg room service</th>\n",
-                            "      <th>Checkin service</th>\n",
-                            "      <th>Online boarding</th>\n",
-                            "      <th>Gender_Male</th>\n",
-                            "      <th>Customer Type_disloyal Customer</th>\n",
-                            "      <th>Type of Travel_Personal Travel</th>\n",
-                            "      <th>Class_Eco</th>\n",
-                            "      <th>Class_Eco Plus</th>\n",
-                            "    </tr>\n",
-                            "  </thead>\n",
-                            "  <tbody>\n",
-                            "    <tr>\n",
-                            "      <th>0</th>\n",
-                            "      <td>1.691495</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>5</td>\n",
-                            "      <td>2</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>0</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>1</th>\n",
-                            "      <td>0.500825</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>4</td>\n",
-                            "      <td>2</td>\n",
-                            "      <td>2</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>2</th>\n",
-                            "      <td>-1.615922</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>3</td>\n",
-                            "      <td>4</td>\n",
-                            "      <td>2</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>0</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>3</th>\n",
-                            "      <td>1.360753</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>4</td>\n",
-                            "      <td>3</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>0</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>4</th>\n",
-                            "      <td>2.022237</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>4</td>\n",
-                            "      <td>5</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>0</td>\n",
-                            "    </tr>\n",
-                            "  </tbody>\n",
-                            "</table>\n",
-                            "</div>"
-                        ],
-                        "text/plain": [
-                            "        Age  Food and drink  Leg room service  Checkin service  \\\n",
-                            "0  1.691495               0                 0                5   \n",
-                            "1  0.500825               0                 4                2   \n",
-                            "2 -1.615922               0                 3                4   \n",
-                            "3  1.360753               0                 0                4   \n",
-                            "4  2.022237               0                 0                4   \n",
-                            "\n",
-                            "   Online boarding  Gender_Male  Customer Type_disloyal Customer  \\\n",
-                            "0                2            0                                0   \n",
-                            "1                2            1                                0   \n",
-                            "2                2            0                                0   \n",
-                            "3                3            0                                0   \n",
-                            "4                5            0                                0   \n",
-                            "\n",
-                            "   Type of Travel_Personal Travel  Class_Eco  Class_Eco Plus  \n",
-                            "0                               1          1               0  \n",
-                            "1                               1          0               0  \n",
-                            "2                               1          1               0  \n",
-                            "3                               1          1               0  \n",
-                            "4                               1          1               0  "
-                        ]
-                    },
-                    "execution_count": 59,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                }
-            ],
-            "source": [
-                "from sklearn.preprocessing import StandardScaler\n",
-                "num_features = ['Age']\n",
-                "\n",
-                "scaler = StandardScaler()\n",
-                "\n",
-                "X[num_features] = scaler.fit_transform(X[num_features])\n",
-                "X.head()"
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "## 3.5. Erstellen von Test- & Trainingsdaten"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 60,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "# Seperation in test and training data\n",
-                "# default of 80% to 20% \n",
-                "from sklearn.model_selection import train_test_split\n",
-                "X_train, X_test, y_train, y_test = train_test_split(X, y, random_state=110)"
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "# 4. Modellierung und Evaluation"
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "## 4.1. Logistische Regression\n"
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "Zur L\u00f6sung des Problems wird die logistische Regression verwendet. Hierf\u00fcr werden die beiden Bibliotheken Statsmodels und Scikit-Learn verwendet. Die vollst\u00e4ndige Auswertung des Modells findet erst im Unterkapitel zu Scikit-Learn statt."
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 61,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "# Seperation in test and training data\n",
-                "# default of 80% to 20% \n",
-                "from sklearn.model_selection import train_test_split\n",
-                "X_train, X_test, y_train, y_test = train_test_split(X, y, random_state=110)"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 62,
-            "metadata": {},
-            "outputs": [
-                {
-                    "name": "stdout",
-                    "output_type": "stream",
-                    "text": [
-                        "Optimization terminated successfully.\n",
-                        "         Current function value: 0.470147\n",
-                        "         Iterations 6\n",
-                        "                           Logit Regression Results                           \n",
-                        "==============================================================================\n",
-                        "Dep. Variable:           satisfaction   No. Observations:                97115\n",
-                        "Model:                          Logit   Df Residuals:                    97104\n",
-                        "Method:                           MLE   Df Model:                           10\n",
-                        "Date:                Fri, 07 Jan 2022   Pseudo R-squ.:                  0.3172\n",
-                        "Time:                        18:39:20   Log-Likelihood:                -45658.\n",
-                        "converged:                       True   LL-Null:                       -66872.\n",
-                        "Covariance Type:            nonrobust   LLR p-value:                     0.000\n",
-                        "===================================================================================================\n",
-                        "                                      coef    std err          z      P>|z|      [0.025      0.975]\n",
-                        "---------------------------------------------------------------------------------------------------\n",
-                        "const                              -3.0555      0.043    -70.903      0.000      -3.140      -2.971\n",
-                        "Age                                -0.0363      0.008     -4.325      0.000      -0.053      -0.020\n",
-                        "Food and drink                      0.1363      0.006     23.991      0.000       0.125       0.147\n",
-                        "Leg room service                    0.4325      0.007     65.884      0.000       0.420       0.445\n",
-                        "Checkin service                     0.3848      0.007     56.136      0.000       0.371       0.398\n",
-                        "Online boarding                     0.5320      0.007     79.995      0.000       0.519       0.545\n",
-                        "Gender_Male                        -1.1409      0.017    -67.811      0.000      -1.174      -1.108\n",
-                        "Customer Type_disloyal Customer    -2.1034      0.025    -82.871      0.000      -2.153      -2.054\n",
-                        "Type of Travel_Personal Travel     -0.7387      0.023    -32.091      0.000      -0.784      -0.694\n",
-                        "Class_Eco                          -0.8919      0.021    -42.121      0.000      -0.933      -0.850\n",
-                        "Class_Eco Plus                     -0.9593      0.032    -29.609      0.000      -1.023      -0.896\n",
-                        "===================================================================================================\n"
-                    ]
-                }
-            ],
-            "source": [
-                "# add constant\n",
-                "X_const = sm.add_constant(X_train)\n",
-                "# create Modell \n",
-                "log_reg = sm.Logit(y_train, X_const).fit() \n",
-                "print(log_reg.summary())"
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "Das trainierte Modell zeigt statistisch nicht-signifikante Variablen an. Dies ist gegeben, wenn der Wert P>|z| gr\u00f6\u00dfer als 0,05 ist und es sich nicht um die Konstante handelt."
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 63,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "# Removal of statistically non-significant features (P>|z|> 0.05).\n",
-                "insignificant_features = [\"Food and drink\", \"Leg room service\", \"Online boarding\"]\n",
-                "X_train.drop(insignificant_features, axis=1, inplace=True)\n",
-                "X_test.drop(insignificant_features, axis=1, inplace=True)"
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "Nun kann ein zweites Modell erstellt werden."
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 64,
-            "metadata": {},
-            "outputs": [
-                {
-                    "name": "stdout",
-                    "output_type": "stream",
-                    "text": [
-                        "Optimization terminated successfully.\n",
-                        "         Current function value: 0.536087\n",
-                        "         Iterations 6\n",
-                        "                           Logit Regression Results                           \n",
-                        "==============================================================================\n",
-                        "Dep. Variable:           satisfaction   No. Observations:                97115\n",
-                        "Model:                          Logit   Df Residuals:                    97107\n",
-                        "Method:                           MLE   Df Model:                            7\n",
-                        "Date:                Fri, 07 Jan 2022   Pseudo R-squ.:                  0.2215\n",
-                        "Time:                        18:39:21   Log-Likelihood:                -52062.\n",
-                        "converged:                       True   LL-Null:                       -66872.\n",
-                        "Covariance Type:            nonrobust   LLR p-value:                     0.000\n",
-                        "===================================================================================================\n",
-                        "                                      coef    std err          z      P>|z|      [0.025      0.975]\n",
-                        "---------------------------------------------------------------------------------------------------\n",
-                        "const                               0.2853      0.025     11.455      0.000       0.236       0.334\n",
-                        "Age                                -0.0157      0.008     -2.021      0.043      -0.031      -0.000\n",
-                        "Checkin service                     0.4824      0.006     75.477      0.000       0.470       0.495\n",
-                        "Gender_Male                        -1.1661      0.016    -74.754      0.000      -1.197      -1.136\n",
-                        "Customer Type_disloyal Customer    -2.1235      0.024    -88.675      0.000      -2.170      -2.077\n",
-                        "Type of Travel_Personal Travel     -0.5736      0.021    -26.952      0.000      -0.615      -0.532\n",
-                        "Class_Eco                          -1.0044      0.020    -50.550      0.000      -1.043      -0.965\n",
-                        "Class_Eco Plus                     -1.0861      0.030    -35.952      0.000      -1.145      -1.027\n",
-                        "===================================================================================================\n"
-                    ]
-                }
-            ],
-            "source": [
-                "# new Modell\n",
-                "X_const = sm.add_constant(X_train)\n",
-                "log_reg2 = sm.Logit(y_train, X_const).fit() \n",
-                "print(log_reg2.summary())"
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "Es gibt noch eine nicht signifikante Variable "
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 65,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "# Entfernen der statistisch nicht signifikanten Features (P>|z|> 0.05)\n",
-                "insignificant_features = [\"Checkin service\"]\n",
-                "X_train.drop(insignificant_features, axis=1, inplace=True)\n",
-                "X_test.drop(insignificant_features, axis=1, inplace=True)"
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "Nun kann ein drittes Modell erstellt werden."
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 66,
-            "metadata": {},
-            "outputs": [
-                {
-                    "name": "stdout",
-                    "output_type": "stream",
-                    "text": [
-                        "Optimization terminated successfully.\n",
-                        "         Current function value: 0.567816\n",
-                        "         Iterations 6\n",
-                        "                           Logit Regression Results                           \n",
-                        "==============================================================================\n",
-                        "Dep. Variable:           satisfaction   No. Observations:                97115\n",
-                        "Model:                          Logit   Df Residuals:                    97108\n",
-                        "Method:                           MLE   Df Model:                            6\n",
-                        "Date:                Fri, 07 Jan 2022   Pseudo R-squ.:                  0.1754\n",
-                        "Time:                        18:39:24   Log-Likelihood:                -55143.\n",
-                        "converged:                       True   LL-Null:                       -66872.\n",
-                        "Covariance Type:            nonrobust   LLR p-value:                     0.000\n",
-                        "===================================================================================================\n",
-                        "                                      coef    std err          z      P>|z|      [0.025      0.975]\n",
-                        "---------------------------------------------------------------------------------------------------\n",
-                        "const                               1.8518      0.016    119.179      0.000       1.821       1.882\n",
-                        "Age                                -0.0039      0.008     -0.513      0.608      -0.019       0.011\n",
-                        "Gender_Male                        -1.1208      0.015    -74.566      0.000      -1.150      -1.091\n",
-                        "Customer Type_disloyal Customer    -1.9096      0.023    -83.608      0.000      -1.954      -1.865\n",
-                        "Type of Travel_Personal Travel     -0.2557      0.020    -12.706      0.000      -0.295      -0.216\n",
-                        "Class_Eco                          -1.2365      0.019    -64.406      0.000      -1.274      -1.199\n",
-                        "Class_Eco Plus                     -1.3285      0.029    -45.824      0.000      -1.385      -1.272\n",
-                        "===================================================================================================\n"
-                    ]
-                }
-            ],
-            "source": [
-                "# new Modell\n",
-                "X_const = sm.add_constant(X_train)\n",
-                "log_reg2 = sm.Logit(y_train, X_const).fit() \n",
-                "print(log_reg2.summary())"
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "Keine nicht-signifikanten Variablen mehr. Das endg\u00fcltige Modell wird erstellt."
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 67,
-            "metadata": {},
-            "outputs": [
-                {
-                    "name": "stdout",
-                    "output_type": "stream",
-                    "text": [
-                        "Optimization terminated successfully.\n",
-                        "         Current function value: 0.567816\n",
-                        "         Iterations 6\n",
-                        "                           Logit Regression Results                           \n",
-                        "==============================================================================\n",
-                        "Dep. Variable:           satisfaction   No. Observations:                97115\n",
-                        "Model:                          Logit   Df Residuals:                    97108\n",
-                        "Method:                           MLE   Df Model:                            6\n",
-                        "Date:                Fri, 07 Jan 2022   Pseudo R-squ.:                  0.1754\n",
-                        "Time:                        18:39:25   Log-Likelihood:                -55143.\n",
-                        "converged:                       True   LL-Null:                       -66872.\n",
-                        "Covariance Type:            nonrobust   LLR p-value:                     0.000\n",
-                        "===================================================================================================\n",
-                        "                                      coef    std err          z      P>|z|      [0.025      0.975]\n",
-                        "---------------------------------------------------------------------------------------------------\n",
-                        "const                               1.8518      0.016    119.179      0.000       1.821       1.882\n",
-                        "Age                                -0.0039      0.008     -0.513      0.608      -0.019       0.011\n",
-                        "Gender_Male                        -1.1208      0.015    -74.566      0.000      -1.150      -1.091\n",
-                        "Customer Type_disloyal Customer    -1.9096      0.023    -83.608      0.000      -1.954      -1.865\n",
-                        "Type of Travel_Personal Travel     -0.2557      0.020    -12.706      0.000      -0.295      -0.216\n",
-                        "Class_Eco                          -1.2365      0.019    -64.406      0.000      -1.274      -1.199\n",
-                        "Class_Eco Plus                     -1.3285      0.029    -45.824      0.000      -1.385      -1.272\n",
-                        "===================================================================================================\n"
-                    ]
-                }
-            ],
-            "source": [
-                "# Finale Modell\n",
-                "X_const = sm.add_constant(X_train)\n",
-                "log_reg_final = sm.Logit(y_train, X_const).fit() \n",
-                "print(log_reg_final.summary())"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 68,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "# prediction\n",
-                "y_hat = log_reg_final.predict(sm.add_constant(X_test)) \n",
-                "# Statsmodel only gives the probabilities, so rounding is required.  \n",
-                "prediction = list(map(round, y_hat))"
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "## 4.2. Evaluation"
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "Zur Evaluation sollen mehrere Metriken verwendet werden, die komfortabler mittels Scikit-Learn erzeugt werden k\u00f6nnen. Deshalb wird das identische Modell wie mit Statsmodels nochmals in Scikit-Learn erzeugt."
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "## Scikit-Learn"
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                " ## Training und Vorhersage"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 69,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "from sklearn.linear_model import LogisticRegression\n",
-                "# C wird ben\u00f6tigt um das exakt selbe Modell zu bilden, wie mit Statsmodels; Quelle: https://www.kdnuggets.com/2016/06/regularization-logistic-regression.html\n",
-                "logistic_model = LogisticRegression(random_state=0, C=1e8)"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 70,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "# Vorhersage auf Testdaten\n",
-                "result = logistic_model.fit(X_train,y_train)\n",
-                "prediction_test = logistic_model.predict(X_test)\n",
-                "prediction_train = logistic_model.predict(X_train)"
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "## Evaluation"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 71,
-            "metadata": {},
-            "outputs": [
-                {
-                    "name": "stdout",
-                    "output_type": "stream",
-                    "text": [
-                        "Accuracy auf dem Testdatensatz: 0.7619238848387495\n"
-                    ]
-                }
-            ],
-            "source": [
-                "from sklearn import metrics\n",
-                "\n",
-                "# Accuracy Score ermitteln\n",
-                "acc = metrics.accuracy_score(y_test, prediction_test)\n",
-                "print('Accuracy auf dem Testdatensatz: {}'.format(acc))"
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "Die Accuracy suggiert ein \u00fcberdurchschnittlich gutes Modell. Es handelt sich aber um einen balanciert Datensatz. "
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 72,
-            "metadata": {},
-            "outputs": [
-                {
-                    "name": "stdout",
-                    "output_type": "stream",
-                    "text": [
-                        "Trainingsdaten:\n",
-                        "              precision    recall  f1-score   support\n",
-                        "\n",
-                        "           0       0.77      0.66      0.71     43923\n",
-                        "           1       0.75      0.84      0.79     53192\n",
-                        "\n",
-                        "    accuracy                           0.76     97115\n",
-                        "   macro avg       0.76      0.75      0.75     97115\n",
-                        "weighted avg       0.76      0.76      0.76     97115\n",
-                        "\n",
-                        "Testdaten:\n",
-                        "              precision    recall  f1-score   support\n",
-                        "\n",
-                        "           0       0.78      0.67      0.72     14682\n",
-                        "           1       0.75      0.84      0.79     17690\n",
-                        "\n",
-                        "    accuracy                           0.76     32372\n",
-                        "   macro avg       0.76      0.75      0.76     32372\n",
-                        "weighted avg       0.76      0.76      0.76     32372\n",
-                        "\n"
-                    ]
-                }
-            ],
-            "source": [
-                "# Klassifikations Report\n",
-                "from sklearn import metrics\n",
-                "from sklearn.metrics import classification_report, confusion_matrix\n",
-                "\n",
-                "\n",
-                "print(\"Trainingsdaten:\")\n",
-                "print(classification_report(y_train,prediction_train))\n",
-                "print(\"Testdaten:\")\n",
-                "print(classification_report(y_test,prediction_test))"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 73,
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "text/plain": [
-                            "Text(0.5, 42.0, 'Predicted label')"
-                        ]
-                    },
-                    "execution_count": 73,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                },
-                {
-                    "data": {
-                        "image/png": 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",
-                        "text/plain": [
-                            "<Figure size 720x504 with 2 Axes>"
-                        ]
-                    },
-                    "metadata": {
-                        "needs_background": "light"
-                    },
-                    "output_type": "display_data"
-                }
-            ],
-            "source": [
-                "# Confusion-Matrix Testdaten\n",
-                "from sklearn.metrics import confusion_matrix\n",
-                "cm = confusion_matrix(y_test,prediction_test)\n",
-                "df_cm = pd.DataFrame(cm, index=['Dissatisfied','Satisfied'], columns=['Dissatisfied', 'Satisfied'],)\n",
-                "fig = plt.figure(figsize=[10,7])\n",
-                "heatmap = sns.heatmap(df_cm, annot=True, fmt=\"d\")\n",
-                "heatmap.yaxis.set_ticklabels(heatmap.yaxis.get_ticklabels(), rotation=0, ha='right', fontsize=14)\n",
-                "heatmap.xaxis.set_ticklabels(heatmap.xaxis.get_ticklabels(), rotation=45, ha='right', fontsize=14)\n",
-                "plt.ylabel('True label')\n",
-                "plt.xlabel('Predicted label')"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 74,
-            "metadata": {},
-            "outputs": [
-                {
-                    "name": "stdout",
-                    "output_type": "stream",
-                    "text": [
-                        "True Negatives: 9818\n",
-                        "False Positives: 4864\n",
-                        "False Negatives: 2843\n",
-                        "True Positives: 14847\n",
-                        "Recall: 0.839287733182589\n",
-                        "Precision: 0.7532342346912891\n"
-                    ]
-                }
-            ],
-            "source": [
-                "# Metriken aus Konfusionsmatrix auslesen \n",
-                "tn, fp, fn, tp = cm.ravel()\n",
-                "recall = tp/(fn+tp)\n",
-                "precision = tp/(tp+fp)\n",
-                "print(\"True Negatives: \" + str(tn))\n",
-                "print(\"False Positives: \" + str(fp))\n",
-                "print(\"False Negatives: \" + str(fn))\n",
-                "print(\"True Positives: \" + str(tp))\n",
-                "print(\"Recall: \" + str(recall))\n",
-                "print(\"Precision: \" + str(precision))"
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "Precision und Recall bieten ein deutlich realistischeres Bild des Modells. Es erzielt eine Precision von rund 75% und einen Recall von 84%. Der Recall ist f\u00fcr den Anwendungsfall deutlich wichtiger und muss nicht in dem Fall verbessert werden."
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 75,
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "image/png": 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sXgzv0ljBLTXDhu8gvSnUbQXnvuh1n8epx0khLlKNOed44es1/PWTJQSCjlN7N+eW4zvToXGa36WJVI1gEGY+BV/+EbqfCec+702jKoBCXKTaWpGRy5NfLOeD+ZsY1a0p95/WndYNavldlkjVyc2Ad66DlV9Ct9NhzKN+V1TtKMRFqpns3CKem7GacdNWkRQfx83Hd+bW4ztroQ2pWTbPh1fPhaJdcOrj0O8Kb6pA2YtCXKSaKCgu5T/TV/Gvr1ZSGCjljCNb8IdTu9MwLdnv0kSqXv323sVrI/8ATbv7XU21pRAXqQa+XpHFnW/OZ9POQk7p1YzbTziCTk007i01zLbVMPWvXss7pQ5cNN7viqo9hbiIj7blFfPnSYuZ+P0GOjZOY8K1gxjUoaHfZYlUvQUT4YNbweJg4LUxv3BJZVGIi/igsKSUN+au519frSQrt4irh7Tn5uM7k56S6HdpIlWrOA8+/i388Cq0HgjnPAf12vhdVdRQiItUoeJAkDfmruff01ayflsBfdvU4+lL+tK3TX2/SxPxx3s3wE/vwtA7YPg9EK9YOhg6WyIRllcU4NvV2SzatIuXZq4lK7eIrs3SeeWqoxnSqZEma5GaxzkIFEFiCgz/nXfleYdhflcVlRTiIpWspDTImqw85m/YybRlmXy5JGPPWt4D2tXn4bN6amUxqbnyt8F7N0JCMpz7AjTu4j3kkCjERQ5BcSBIQUnpnu2cwhI+X7SVjxduYd76HRQFggA0Skvi5J7NOPOolvRsUZe6tTTmLTXYmq/h7Wu8SVxO+H9+VxMTFOIiYSoOBJm2LJMPftzEZ4u2kl9c+otjujevwyUD29KrVR26NqvDEU3TNUmLSGkApv0Npv3Vu//76s+hRR+/q4oJCnGRCpQGHbNWZfP+vE18vHAzuwoD1KuVyBl9WtCpSfqe41IT4+nVsi69WtX1sVqRaio/C2b/G3pfAKf8DZLTD/waCYtCXGQ//vftOh77bBlZuUXUTornxB7NOO3IFgzp3IjE+Di/yxOp/tbOhNaDIL0ZXD8T6rTwu6KYoxAXKUdBcSkPfbSIzk3S+OMZPRjRtQkpiVr2UCQsJYUw+V6Y8x84/R/Q91IFeIQoxEXK8flib8z77pO7MbijZlATCVvmUph4JWxdCINu8LrQJWIU4iLleH/+JprWSebo9g38LkUkeix8y7t9LDEVLn4Tuoz2u6KYpxAX2cfOghKmLs3k14PbEq8ry0XCl94c2gyCM56BOs39rqZG0NU5Ivt4ddZaikuDnHVUS79LEan+NsyFmf/wvm97DPzqbQV4FVKIi5ThnOONues5pmNDerbU7WIi+xUMwozH4YUTYfY4KMr19msmwiql7nSRMuas2c7a7HxuGN7J71JEqq+crfDOdbBqCnQ7HU5/CpLT/K6qRlKIi5QxYfY60pITOO1I3Q4jUq5AETw3CvIy4NTHvcVL1Pr2jUJcJCSvKMAHP27inL6tSE3SPeEiewmWQly8t3DJCQ9A427QtLvfVdV4GhMXCZm9ZhslpY5Te6sVLrKXbau91veCid52z3MU4NWEWuIiIV8vzyIpIY7+7er7XYpI9bFgInxwK8TFefd/S7US0Za4mZ1kZkvNbIWZ3V3O83XN7AMzm29mP5nZFZGsR6QiM1Zk0b9tfU2vKgJQnAfv3gBvXQVNe8DYGdB1jN9VyT4iFuJmFg88DZwMdAcuMrN9+19uABY5544EhgN/N7OkSNUksj9ZuUUs2ZLDsZ0a+V2KSPWw6iuY9xocdydc/hHUa+N3RVKOSHanHw2scM6tAjCzCcAZwKIyxzgg3cwMSAO2AYEI1iRSrunLMwEU4lKzOQcZi7yWd9cxcMNsaNzF76qkApHsTm8JrC+zvSG0r6x/At2ATcAC4BbnXDCCNYmU6+MFW2hWJ4XemuBFaqr8bTDhYhg3ArJXevsU4NVeJEO8vBsH3T7bJwLzgBZAH+CfZlbnF29kdq2ZzTWzuZmZmZVdp9RwuUUBvlqWyUk9mxGnudKlJlozA/51LKz4HE54EBp08LsiCVMkQ3wD0LrMdiu8FndZVwBvO88KYDXQdd83cs6Nc871d871b9y4ccQKlprpyyUZFAeCnNJL8z1LDfTVI/Df07wrz6/6DAZdr8lbokgkQ3wO0NnM2ocuVrsQeH+fY9YBxwOYWVPgCGBVBGsS2YtzjpdnrqF53RT6t9WtZVIDlRR4a35fNxVa9PG7GjlIEbuwzTkXMLMbgU+BeOAF59xPZjY29PyzwB+Bl8xsAV73+13OuaxI1SSyr5827WLu2u08cFp3daVLzbH4Q6jVwFt17Pj7vXvAJSpFdLIX59wkYNI++54t8/0mQKvGi2/e/WEjifHGmVp2VGqCkkKY/HuY8xwccYoX4grwqKYZ26TGKiwp5d15mxh+RBPq1dL0BBLjMpfCxCth60IYfCMcf5/fFUklUIhLjfXJwi1k5RZx+THt/C5FJLK2/uTNfZ6YChe/CV3UARorFOJSY01ZmkGjtCQGd2jodykikeGcd6V5424w+AbofxXU0V0YsUSDIVIj5RSW8PmirYw4ookuaJPYtGEu/GcE7NzgjXuPvFcBHoMU4lIjzVyZTV5xKef0a+V3KSKVKxiEGY/DCydCXjbkZ/tdkUSQutOlRpq+PJNaSfH0baN7wyWG5GyFd671Fi/pfiac9iSk1vO5KIkkhbjUOM45vlqayTEdG5GUoM4oiSFT/wLrvvXCu+9lmnmtBtD/YFLj/LhhJxu2FzCiq6bwlRgQKIZdm73vRz0A134F/S5XgNcQaolLjTN+9jpqJ8Vz+pEt/C5F5PBsWwUTr4LSEi+8U+p4D6kxFOJS48xalc2Qzo1IT0n0uxSRQ/fjm/Dhbd6V56f/E+L133lNpO50qVE27ihgTXY+vVvV87sUkUNTnAfv/gbevhqa9oCxM6D76X5XJT7Rr25So7w3byMAp/VWV7pEKYuHLQvguN/CsLvUAq/h9KcvNcq0ZZl0a16HNg1r+V2KSPicg+9fhh5nQkpduPoLSNB8/6LudKlBMnYVMnv1No7v2sTvUkTCl5cN4y+CD272ghwU4LKHWuJSY3y6aCtBB2cepa50iRKrp8Pb13izrp30CAwc63dFUs0oxKXG+H7tdhqlJdOxcZrfpYgc2Lz/eRewNegAV02AFn38rkiqIYW41BizV2/j6Pb1MU2CIdGg/TAYcLU3gUuyfvGU8mlMXGqEzTsL2LijgP5tG/hdisj+Lf4A3rzCW8SkbksY86gCXCqkEJca4Yd1OwDo21YLnkg1VFIAH94Or/8Ktq+Gwh1+VyRRQt3pUiPMWpVNamI83Zqn+12KyN4ylsDEKyHjJxh8Ixx/v64+l7ApxCXmOeeYsjSDYzs1JDkh3u9yRH4WLPVa3wXb4ZKJ0PkEvyuSKKMQl5j3zaps1m8r4KaRnf0uRcRTuBMSUr0W9znPQXoz7yFykDQmLjHv+emraVg7SauWSfWwfg48OwSm/MnbbtFHAS6HTCEuMW11Vh5fLMngkkFtSUlUV7r4KBiE6Y/Biyd5211P9bceiQnqTpeY9so3a0mIM341sI3fpUhNlrMV3rkWVn0FPc6CU5+A1Ho+FyWxQCEuMSsjp5AJc9YxpndzmtRJ8bscqcnyMmHTPDjtKeh7KWjCIakkCnGJWZ8vyiC/uJTfDO/kdylSEwWKYcmH0PNsaNYTblsIybrFUSqXQlxi1jersmlaJ5kuTTXjlVSx7JXw1lWw6Qeo3w5a9lWAS0QoxCUmOeeYtSqbYzo21FzpUrV+fAM+vA3i4uH8V7wAF4kQhbjEpJ827SIzp4hBHRr6XYrUJJN+C7P/Da0Hefd/12vtd0US4xTiEpPe+WEjSQlxnNxT999KFWozEFLqwrC7IF7/vUrk6W+ZxBznHFOXZdKvTX3q1dIc1BJBzsG3z0JCMvS/Enqe43dFUsNosheJOUu25LAiI5dTejf3uxSJZXnZMP5C+ORuWDXVC3SRKqaWuMSc9+dvIj7OOEVd6RIpq6fD29dAfjac9BcYeJ3u/RZfKMQlpjjn+GD+Jo7t1IiGacl+lyOxaPsaePkMaNAeLn4dmh/pd0VSgynEJab8sH4HG7YXcOuoLn6XIrGmOA+Sanv3fZ/7AnQaBcmag0D8pTFxiSkfzN9EUkIco3s09bsUiSWLP4AnesHamd52jzMV4FItKMQlZpQGHR/9uJkRRzSmTkqi3+VILCgpgA9vh9d/BfXaaMlQqXbUnS4x48cNO8jIKeKUXroqXSpBxhKYeCVk/ATH3AQj74ME3bIo1YtCXGLG9OVZmMHQzo39LkViwfLJkJcBl7wFnUf5XY1IuRTiEjO+XJJB75Z1aVBbrSU5RAU7IGs5tB4Ag2+EPhdD7UZ+VyWyX2GPiZtZ7UgWInI4MnOKmL9hB8d30wVtcojWz4Znh8KEi72x8Lg4BbhUewcMcTM7xswWAYtD20ea2TMRr0zkIExZkoFzMEohLgcrGITpf4cXTgIDLvwfJKb6XZVIWMLpTn8cOBF4H8A5N9/MjotoVSIH6fPFW2lRN4VuzbVmsxyE4nxv6tTVU6HHWXDqE5Baz++qRMIW1pi4c279Pmsyl0amHJGDV1hSyvTlWZzbr5XWDpeDk5jqLRd62lPQ91JNnSpRJ5wQX29mxwDOzJKAmwl1rYtUB9+szKagpJTjuzXxuxSJBoFimPIn6HMJNO4CZzztd0UihyycEB8LPAm0BDYAk4HfRLIokQMpLCklM6eIjJwiXp+znlpJ8Qzq0NDvsqS6y17p3fu9eR7UauiFuEgUCyfEj3DOXVJ2h5kdC3wdmZJEfrZ7bfAP5m9m884CMnKKyNhVyK7CwF7HnXZkC1IS432qUqLC/Nfho9shLgEueBW6neZ3RSKHLZwQ/wfQN4x9IpXqxw07uOq/c8nMKaJerUQ6NKpNp8ZpHNOxIY3TkmlSJ5km6Sk0Tk+mc1PNYy0VmP86vHMttBkMZ//HGwcXiQH7DXEzGwwcAzQ2s9vLPFUHUJNHIsY5x/MzVvOXT5bQKC2Ze07uyhXHticpQVP9y0EqLYH4ROh+BhTuhP5XQrzmuJLYUdHf5iQgLXRM2ft2dgHnRrIoqZnyigJ8tGAzL369hsWbdzG6e1P+em5v6tXSDGxykJyDb5+FuS/C1Z9DSh0YeK3fVYlUuv2GuHNuKjDVzF5yzq09lDc3s5PwLoqLB55zzj1SzjHDgSeARCDLOTfsUD5LolNOYQn/mbaKDxdsZnVWHs5BpyZpPHb+kZx1VEvdMiYHLy8b3vsNLPsEupwMwcCBXyMSpcLpV8o3s78BPYCU3TudcyMrepGZxQNPAyfgXdU+x8zed84tKnNMPeAZ4CTn3Doz0z1CNcT6bfn88cNFfLkkg0DQMbhDQ07t1ZyhXRrTv219hbccmtXT4O1rIT8bTv4rHH2t7v2WmBZOiL8GvA6cine72WVAZhivOxpY4ZxbBWBmE4AzgEVljrkYeNs5tw7AOZcRfukSjbJzi/jzx0t4f/4mEuOMSwe348yjWtC7VT2/S5No5xxM/SskpcHFb0Dz3n5XJBJx4YR4Q+fc82Z2S5ku9qlhvK4lsL7M9gZg4D7HdAESzewrvHH3J51zL+/7RmZ2LXAtQJs2bcL4aKlunHNMWrCFP7y3kNzCABce3ZrLjmlHx8a6qlwO0471kJACaY3h3Bcgqbb3EKkBwgnxktDXzWY2BtgEtArjdeX1YblyPr8fcDyQCnxjZrOcc8v2epFz44BxAP3799/3PaQayy0K8OqstYyfvY612fn0blWXR887ki5NNce5VIJF78P7N0KH4XD+y5CmETmpWcIJ8YfMrC7wf3j3h9cBbg3jdRuAsjdjtsL7BWDfY7Kcc3lAnplNA44EliFRbWdBCf+duYYXvl7NjvwSBndoyPXDOnJuv1YkxOtWMTlMJQXw6e9g7gvQ4igY9YDfFYn44oAh7pz7MPTtTmAE7Jmx7UDmAJ3NrD2wEbgQbwy8rPeAf5pZAt4tbQPxVk2TKDZrVTbXvjyXXYUBRnVrwg0jOnFUm/p+lyWxYtsqmHAJZCyCY26GkX+ABN2GKDVTRZO9xAPn441tf+KcW2hmpwK/w+v6PqqiN3bOBczsRuBTvFvMXnDO/WRmY0PPP+ucW2xmnwA/AkG829AWVsYPJlVvZ34Jf/9sKa/OWku7hrUZf+0gerSo63dZEmtS6nkTuPzqLeg0yu9qRHxlzpU/xGxmL+F1h8/GayGvBQYDdzvn3q2i+n6hf//+bu7cuX59vOzHzBVZ/OG9hazOyuNXg9py54lHkJ6S6HdZEisKdsA3/4Rhd3kB7pxuHZMaxcy+c87133d/Rd3p/YHezrmgmaUAWUAn59yWSBUp0ac4EOSfXy7nqS9X0CQ9mf9eeTRDOzf2uyyJJeu+hbeuhpxN0H4YtB+qABcJqSjEi51zQQDnXKGZLVOAy25Lt+QwYc463pu3iW15xZzXrxUPndWT5ARNqy+VJFgKMx6HKQ9D3VZw5afQ6hcNEZEaraIQ72pmP4a+N6BjaNsA55zTTAo1TFGglFdnreOdHzbw06ZdJMbHMfKIJlwwoDXDj2isWdakcn30f/Ddi9DjbDjtCUjR9RUi+6ooxLtVWRVS7b03byOPTl7K+m0F9G1Tj9tGdeHSwW21OIlUvt3j3QOugpZ94ahfq/tcZD8qWgDlkBY9kdjz8YLN3Pr6PLo0SeflK4/muC4a85YICBTDFw9CUQ6c/hQ06+U9RGS/tLCuHNAzX63kiKbpvHvDsaQkasxbIiB7JUy8EjbPgwHXQDAIcZoUSORAFOJSoe15xSzctJPbRnVRgEtkzH8dProd4hLggteg26l+VyQSNcIKcTNLBdo455ZGuB6pZmauzMY5OLZTI79LkViUm+ldwNasN5zzH+8qdBEJ2wH7q8zsNGAe8Elou4+ZvR/huqSamLEii7TkBI5spSuDpRJlr/QuYEtrDFd+Apd9oAAXOQThDDo9gLc2+A4A59w8oF2kCpLq5esVWQzq0FCLlkjlcA6+eQaeGQTfh1YdbtYT4jWyJ3IowvmfOeCc2xnxSqTaWZedz7pt+Qzp1NDvUiQW5GXB/y6AT+/x5jzvdprfFYlEvXB+/V1oZhcD8WbWGbgZmBnZsqQ6+HplFgBDOms8XA7Tmhkw8Soo2AYn/w2Ovkb3fotUgnBa4jcBPYAi4H94S5LeGsGapJqYsSKLpnWS6dg4ze9SJNoFirwZ167+AgZeqwAXqSThtMSPcM79Hvh9pIuR6iMYdMxckcWIrk00naocmu1rYe1M6HMRdDoerp+psW+RShbOv6jHzKw58CYwwTn3U4Rrkmpg0eZdbM8vYYhuLZND8dO78P7NXov7iJMgtb4CXCQCDtid7pwbAQwHMoFxZrbAzO6NdGHirxkrvPFw3R8uB6WkAD64Fd68DBp1gmu/8gJcRCIirPuGnHNbnHNPAWPx7hm/L5JFif++XpFF5yZpNK2T4ncpEi1KA/D8aG/lsWNvgSs+gQbt/a5KJKYdsH/LzLoBFwDnAtnABOD/IlyX+KiwpJTZq7dx0dFt/C5Fokl8AvS7HOq388bARSTiwhmkehEYD4x2zm2KcD1SDXy/bjtFgaDGw+XACrbDB7dA7wuh6yne8qEiUmUOGOLOuUFVUYhUHz+s2wFA/3Yay5QKrPsW3roKcjZDu6F+VyNSI+03xM3sDefc+Wa2AHBlnwKcc653xKsTX/ywbjsdGtemXq0kv0uR6ihYCjMegyl/9uY7v/JTaNXf76pEaqSKWuK3hL5qXcAapLCklG9XbWNM7+Z+lyLV1fLP4MuHoOc5cOrj3iQuIuKL/V6d7pzbHPr2N865tWUfwG+qpjypap8t2kpOUYDTj2zhdylS3eRs9b52OREufR/OeV4BLuKzcG4xO6GcfSdXdiFSPbz1/Qaa101hUActeiIhgSL45Hfwj77eEqJm0GGYpk4VqQYqGhO/Hq/F3cHMfizzVDrwdaQLk6q3MjOXr5ZmcuuozsTF6T9owQvtiVfA5vlw9LVQp6XfFYlIGRWNif8P+Bj4M3B3mf05zrltEa1KfPHyzDUkxcdxycC2fpci1cH81+Gj2yE+ES78H3Qd43dFIrKPikLcOefWmNkN+z5hZg0U5LHFOcenP21lZNcmNE5P9rscqQ42zIHmR8LZ47yr0EWk2jlQS/xU4Du8W8zK9q86oEME65IqtmxrLlt2FTKia2O/SxE/bfoBMGjRB078E8QlQFy831WJyH7sN8Sdc6eGvmry4xpg6rIMAI7rohCvkZyDWc/AZ/dD64FwxUeQoB4ZkerugFenm9mxZlY79P2vzOwxM9Ok2jFm6rJMjmiaTvO6qX6XIlUtNxP+dz58+jvoPBoueMXvikQkTOHcYvYvIN/MjgR+C6wF9K88huQWBZizejvDjlArvMbJXgnPHgurpsIpj8KFr0GtBn5XJSJhCmcBlIBzzpnZGcCTzrnnzeyySBcmVeerpRkUlwYZ1a2p36VIVavXFjqfAAPHQrNeflcjIgcpnJZ4jpndA/wa+MjM4oHEyJYlVenTn7bSsHYS/dpqwZMaYftamHAJ5GZ4y4ee8bQCXCRKhRPiFwBFwJXOuS1AS+BvEa1KqkxRoJQpSzI4oXtT4jXBS+z76V14dqjXfZ65xO9qROQwHTDEQ8H9GlDXzE4FCp1zL0e8MqkSM1dmk1sUYHQPdaXHtOJ8b93vNy+DRp1g7HRof5zfVYnIYQrn6vTzgdnAecD5wLdmdm6kC5OqMfmnLdROiueYjo38LkUi6Yv/B9+9BMfe4i0d2kB3jorEgnAubPs9MMA5lwFgZo2Bz4GJkSxMIq+kNMinP21lRNcmpCRqQo+Y4xwU5UBKHRj2W2/1sY4j/K5KRCpROGPicbsDPCQ7zNdJNTdjeRbb8oo5o48WtYg5BdvhjUvhlbOgtMS7bUwBLhJzwmmJf2JmnwLjQ9sXAJMiV5JUlXfnbaRuaiLDNEtbbFn3Lbx1FeRshuPvA1Mvi0isOmCIO+fuNLOzgSF486ePc869E/HKJKLyiwNM/mkrZx7VkqQEdazEhGApzHgMpvwZ6rWGKydDq35+VyUiEVTReuKdgUeBjsAC4A7n3MaqKkwi67NFWykoKeXMPi38LkUqS6DQWz60x1lw6mOQUtfvikQkwipqib8AvAxMA04D/gGcXRVFSeR9+ONmmtdNYUA7TbEZ9VZ+6S1aklQbrpoMqfXBdM+/SE1QUT9qunPuP865pc65R4F2VVSTRFhJaZBvVmYzomsT4jTBS/QKFMHHd3sXr838p7evVgMFuEgNUlFLPMXMjuLndcRTy247576PdHESGT9u2EFuUYChnXRveNTKWgETr4AtP8LR13n3f4tIjVNRiG8GHiuzvaXMtgNGRqooiaypy7KIMxjcsaHfpcihWPYpvHkFJCTBheOh6yl+VyQiPtlviDvndFNpjPpyyVb6ta1PvVpJfpcih6JRZ2g/FMY8BnV1j79ITaZ7i2qYLTsLWbhxFyO7aq70qLLpB/jkHm8WtgYd4OLXFeAiohCvaaYs9SbfO75bE58rkbAEg95Fa8+dAIveg5wtflckItVIODO2SQz5YvFWWtVPpXOTNL9LkQPJzYR3r4cVn0HXU+H0f3hXn4uIhISzipmZ2a/M7L7QdhszOzrypUllKywpZcaKLI7v2gTTbUjVm3Pw6lmwehqc8ihc8KoCXER+IZzu9GeAwcBFoe0c4Olw3tzMTjKzpWa2wszuruC4AWZWqiVOI+ubldkUlgQZ2U3j4dVWaYk3faoZnPQIXPMFHH2N7v0WkXKFE+IDnXM3AIUAzrntwAEvazazeLywPxnoDlxkZt33c9xfgE8Pom45BF8s2UqtpHgGtleLrlravhZePAWm/93bbjcEmvXytyYRqdbCCfGSUNA62LOeeDCM1x0NrHDOrXLOFQMTgDPKOe4m4C0go5znpJI45/hycQZDOjXS2uHV0U/vwLNDIXMJNOzodzUiEiXCCfGngHeAJmb2J2AG8HAYr2sJrC+zvSG0bw8zawmcBTxb0RuZ2bVmNtfM5mZmZobx0bKv1Vl5bNpZyLAjtOxotVKcDx/cAm9e7t3/fd006HmO31WJSJQIZynS18zsO+B4vClXz3TOLQ7jvcsbxHP7bD8B3OWcK63oQivn3DhgHED//v33fQ8JwzersgEY3EGztFUrmUvgh9fg2Fth5L0Qn+h3RSISRQ4Y4mbWBsgHPii7zzm37gAv3QC0LrPdCti0zzH9gQmhAG8EnGJmAefcuwcuXQ7GrFXbaJKeTPtGtf0uRZyDdbOg7WBo2Rdu/sFb/1tE5CCFc5/4R3gtaANSgPbAUqDHAV43B+hsZu2BjcCFwMVlD3DOtd/9vZm9BHyoAK98hSWlfLU0g9Hdm+nWMr8VbIf3b4LFH8CVn0KbQQpwETlk4XSn73V5rJn1Ba4L43UBM7sR76rzeOAF59xPZjY29HyF4+BSeb5amklOYYDT+7Twu5Sabe038NbVkLsFRj8ErTTdgogcnoOesc05972ZDQjz2EnApH32lRvezrnLD7YWCc8H8zfRsHYSx2rVMv98/RR8fj/UawtXTYaW/fyuSERiQDhj4reX2YwD+gK6RDxK5BSW8PnirVwwoDUJ8Zoq3zep9byrzsc8Bil1/K5GRGJEOC3x9DLfB/DGyN+KTDlS2T5btJWiQJAz1JVe9ZZ9CkU50OtcOOrX3kPXJIhIJaowxEOTvKQ55+6sonqkkr03bxOt6qfSt019v0upOQJF8Nn98O2/oPUgrwWu8BaRCNhviJtZQujitL5VWZBUnk07CpixIovrjuugq9KrStYKmHgFbPkRBo6FUQ8qwEUkYipqic/GG/+eZ2bvA28CebufdM69HeHa5DA98P5PJMYbFx3dxu9SaoZdm+Dfx0FCMlw0AY442e+KRCTGhTMm3gDIBkby8/3iDlCIV2OfLNzC5EVbufvkrrRuUMvvcmJbsBTi4qFOCxj1AHQdA3VbHvBlIiKHq6IQbxK6Mn0hP4f3bpr6tBrLKSzhgfd/olvzOlw1pP2BXyCHbuP38M5YOOtZb/a1gdf6XZGI1CAVhXg8kEZ4c6BLNfLop0vZmlPIs7/uR6JuK4uMYBBmPQOfPwBpTSAY8LsiEamBKgrxzc65/1dllUil+H7ddl6etZbLBrejT+t6fpcTm3Iz4d3rYcVn0PVUOP0fUEtrtItI1asoxHVJbZQpKQ3yu7cX0KxOCneceITf5cSuH16B1dPglEdhwNW6+lxEfFNRiB9fZVVIpfjP9FUs2ZLDuF/3Iy35oGfUlYqUlsD2Nd6a38fc7LXAG3fxuyoRqeH2O2DqnNtWlYXI4VmbnceTny/npB7NGN2jmd/lxJbta+DFk+GlMd4MbPEJCnARqRbUXIsBzjl+/85CEuPjeOD0A60QKwdl4dvwwS2AwWlPQHL6gV4hIlJlFOIx4J0fNjJjRRZ/PKMHzeqm+F1ObAgUw6Q74Pv/QqsBcM7zUL+t31WJiOxFIR7lsnKLeOijxRzVph6XDFTIVJr4RMjLgiG3w4jfedsiItWMQjyKBYOO216fR25RgEfO7k1cnK6SPizOwXcvQseRUL8dXPCKNxObiEg1pZlAotgrs9YyfXkW95/WnSOaaaz2sORvgzd+DR/eBnNf8PYpwEWkmlNLPEpl5hTx6OSlDOnUiIu1wMnhWfsNvHU15G6F0Q/BoBv8rkhEJCwK8Sj150mLKSwp5YHTe2iZ0cOx9GOYcDHUawtXTfbmPxcRiRIK8Sg0bVkmb/+wkRtHdKJTkzS/y4lOznkzrbUbCoNvhOPuhJQ6flclInJQNCYeZTbtKODG/31P5yZp3DCik9/lRKeln3gTtxTnQ3IajP6jAlxEopJCPIoUB4Lc9daPlJQ6nrusP6lJuvDqoASK4OO7YPwFULQLCjQpoYhEN3WnR4lg0DH21e+YvjyLP53Vk7YNa/tdUnTJWg4Tr4AtC2DgWBj1ICRqYhwRiW4K8Sjx7LSVfLkkgwdP76FJXQ7Fh7fBzo1w0QQ44mS/qxERqRQK8Sjw1dIM/j55GWN6N+fSwQrwsBXuAheE1HpwxtPerGt1WvhdlYhIpVGIV2MZOYU8NnkZr89dT9sGtfjz2b10O1m4Nn4HE6+C5r3h/Jc177mIxCSFeDV22+vz+HpFNlcc247bTuhCnRTN331AwSB880/44kFIawYDr/e7IhGRiFGIV1PZuUXMWrWN64Z14J6Tu/ldTnTIzYR3x8KKz6HrqXD6P6BWA7+rEhGJGIV4NfXFkgxKg47TemsMN2wuCJnLYMxj0P9KbzIXEZEYphCvpj5ZuIVmdVLo0UKTkFSotAR+eAX6XgbpTeGmuZCQ7HdVIiJVQiFejRQUl/LW9xuYMGcdCzfu4leD2uhCtopsX+MtXLJhDqS3gCNOUoCLSI2iEK8m1mTlceG4WWzZVUj35nV44LTuXDBAq5Pt18K34YNbAIPzXvICXESkhlGIVwM78os5+18zKSop5fnL+jOyaxO1wCsy5WGY+hdoNQDOeV63j4lIjaUQrwZe+3Yd2/KK+eDGIfRqVdfvcqq/Tid4Y+EjfudN4CIiUkMpxH3mnON/365jaOdGCvD9cQ7mPAc7N8AJD0LrAd5DRKSG0ypmPlu3LZ+NOwoY3aOZ36VUT/nb4PVfwaQ7YOtPUBrwuyIRkWpDLXGfzVyZDcDgDpqU5BfWzoS3roHcrTD6IRh0A8Tp904Rkd0U4j77YnEGLeul0rFxmt+lVC8F2+G186F2I7hqMrTs63dFIiLVjkLcR4UlpXy9Iovz+rfS1ei75W+D1Pre46L/QfM+kKIJb0REyqO+SR99szKbgpJSju/W1O9Sqoclk+AffWH+eG+7/XEKcBGRCijEffT54q3USopnYPsaPh5eUgiTfgsTLoK6raHV0X5XJCISFdSd7hPnHF8uyWBo50akJMb7XY5/spbDm1fA1gUw6Dcw6gFNnSoiEiaFuE9+2rSLzTsLue2ELn6X4q/MJZCzCS56XVOniogcJIW4T75YnIEZjDiiid+lVL3CXbD+W+h8AnQ7DdoP09i3iMgh0Ji4T75cspUjW9WjcXoN6zre+B38+zh4/deQm+ntU4CLiBwShbgPMnYVMn/DTkZ1q0Gt8GAQvn4Knh8NwQBc+i6kNfa7KhGRqKbudB98s8qbpW1YlxoS4sEgjL8Alk/2us9P/4d3H7iIiBwWhbgPvl+7nVpJ8XRrnu53KVUjLg5aD4QuJ0H/K0ET24iIVAqFuA+mr8iiX9v6JMTH8GhGaQlM+ZN30VrHEXDcHX5XJCIScxTiVWxlZi6rMvO4bHA7v0uJnO1rYOJVsHEuYF6Ii4hIpYtoU9DMTjKzpWa2wszuLuf5S8zsx9BjppkdGcl6qoMpSzIAGNU9RqdaXfgWPDvUm8TlvJdg1P1+VyQiErMi1hI3s3jgaeAEYAMwx8zed84tKnPYamCYc267mZ0MjAMGRqqm6uC7tdtp3SCVlvVS/S6l8q2cAhOv9KZNPec5qN/W74pERGJaJLvTjwZWOOdWAZjZBOAMYE+IO+dmljl+FtAqgvX4zjnHD+t2cHSszZVenA9JtaDDcDjzX9DrPIhP9LsqEZGYF8nu9JbA+jLbG0L79ucq4OMI1uO7lZm5bNlVyIBYCXHnYPZ/4MkjYfta76rzPhcrwEVEqkgkW+Ll3Ufkyj3QbAReiA/Zz/PXAtcCtGnTprLqq3KTF20FiI1JXvK3wXs3wtKPoNMJkFjL74pERGqcSIb4BqB1me1WwKZ9DzKz3sBzwMnOuezy3sg5Nw5vvJz+/fuX+4tANPhs0VZ6taxL87pRPh6+dia8dTXkZsCJD8PA6717wUVEpEpF8n/eOUBnM2tvZknAhcD7ZQ8wszbA28CvnXPLIliL7zJyCpm3fgcnxMJV6fNe85YLvfozGHyDAlxExCcRa4k75wJmdiPwKRAPvOCc+8nMxoaefxa4D2gIPGPeLF4B51z/SNXkpy8WZ+AcjO4RpSG+cyOU5EOjznDyX8EFIbmGzDgnIlJNRXSyF+fcJGDSPvueLfP91cDVkayhuvhs0VZaN0jliKZRGHxLJsF7v4EGHeHqzyGptt8ViYgIWsWsSuQVBZixIosTujXDomne8JJCmPRbmHAR1G0NZ/1b856LiFQjmna1CkxfnklxIBhd4+G7NsNr58HWBTDoNzDqAW8cXEREqg2FeBWYuiyT9JQEBrSLouU3azWE9GZw/B+gy4l+VyMiIuVQd3qEOeeYtiyLYzs2qv6rlhXugo/vgoLtkJAEv5qoABcRqcaqeapEv5WZeWzcUcDQLo38LqViG7+Dfw/1ZmBbPd3vakREJAwK8QibtiwTgOM6N/a5kv0IBuHrJ+H50RAshSs+hu6n+12ViIiEQWPiETZteSYdGtWmdYNqOi3pVw/DtL9Bt9Ph9KcgNYrG7UVEajiFeAQVBUqZtSqbCwdUw/neSwMQnwADrvZuH+t7qW4fExGJMupOj6C5a7ZTWBJkaOdqNB4eKIbJf4BXz/a6z9ObQb/LFOAiIlFIIR5B05ZlkhhvDOrQ0O9SPNtWw4snwcynoEEHCAb8rkhERA6DutMjaMaKLPq1rU/t5GpwmhdMhA9vAwzO+y/0ONPvikRE5DCpJR4hRYFSlm7JoW+banChWEkBfPEgNOkG189QgIuIxIhq0ESMTSsycgkEHd2a1/GviIzFXrd5Yipc9gHUaeVdzCYiIjFBLfEI+WHdDgC6t/AhxJ2Db8fBv4d5t48B1G+nABcRiTH6Xz1C3vlhI52apNGhURUv25m/Dd67EZZ+BJ1Hw8CxVfv5IiJSZRTiEbAyM5fv1m7nnpO7Vu3SoxvmwhuXQm4GnPiwt/qYbh0TEYlZCvEIeHPuBuLjjLP6tqzaD05Kg9QGcOFr0OKoqv1sERGpchoTr2SB0iBvf7+B4V0a0yQ9JfIfuHMjzHjC+75JVxg7XQEuIlJDqCVeyWasyCIjp4jz+reO/Ict+Qjeu8Gbha3Hmd7Fa+o+FxGpMdQSr2RTl2WSnBDHiK4RXLWspBAm3QkTLoZ6bbzWd/12kfs8ERGpltQSr2TfrtpGv7b1SU6Ij8wHOAevnQtrpsOgG2DU/ZCQHJnPEhGRak0t8Uq0Pa+YxVt2MbB9BOZKd857mMHgG+DiN+CkhxXgIiI1mFrilejjhVtwDkZ2bVK5b1y4Ez64FVr19wL8iJMr9/1FRCQqqSVeid6dt5GOjWvTs2UlztK2YS48OxQWvadVx0REZC8K8UqycUcBs1dv46yjWlbOBC/BIMx4HF440etGv+JjOPaWw39fERGJGepOrySfL9oKwJjeLSrnDbfMh88fhO6nw2lPQWq9ynlfERGJGQrxSjJ1WSbtGtai/eHOlb5tNTRo703Ycs2X3lfd+y0iIuVQd3olKCwp5ZuV2Qzrchj3hgeKYfIf4B/9YM3X3r6WfRXgIiKyX2qJV4IZy7MoKCllxKFelb5tNbx1FWz8DvpdoWlTRUQkLArxSvDRgs3UTU3k2E6NDv7FC9+C92+BuDg4/2XofkblFygiIjFJIX6YCktK+WzRVk7p1YzE+EMYncjNgKbd4ZznvClURUREwqQQP0wvzVxDblGAM486iGVHtyyAnC3Q+QQYOBYGXAPx+qMQEZGDo+Q4DGuz83jy8+WM6taUYzqG0ZXuHMz+D0y+17sCveNIiItXgIuIyCFRehyiwpJSxr76PUkJcTx4Ro8DvyB/G7x3Iyz9CDqfCGc+4wW4iIjIIVKIH6LnZ6xm8eZdvHB5f1rWS6344Lws+Pdx3vj3iX+GQdfr1jERETlsCvFDsDY7j2emrOCE7k0Z2bXpgV9QuxH0uRi6ngot+kS8PhERqRk02ctBcs5x84R5JMTHcf9p3fd/4M4N8MpZsHWRtz3yXgW4iIhUKoX4Qfr0py3MX7+De8d0o1X9WuUftPhD+NexsH42bF9TpfWJiEjNoe70g5BbFOCPHy6mU5M0zu7b6pcHlBTC5N/DnOeg+ZFw7ovQsGPVFyoiIjWCQvwg/H3yUjbvLODNsYOJjyvnwrTZ//YCfNANMOp+SEiu+iJFRKTGUIiHacP2fF77dh3n9WtNv7YNfn7COe/q87TGMPB6b97z9sf5V6iIiNQYGhMPQzDouPPNH0mMM246vtPPTxTuhIlXwn9GQMEOSEhSgIuISJVRSzwMz05byTersvnLOb1+vphtw1wvwHdugJG/h+R0f4sUEZEaRyF+AHPWbOPvk5dxau/mnN+/NQSDMPNJ+PIhSG8BV3wMbQb6XaaIiNRACvEKbM8r5ubxP9C6fip/PrsXZuaNga+cAl3HwGlPQWo9v8sUEZEaSiFegVdnrWXzzkI+vGkI6RumQZPuUKc5XDQeEmtp6lQREfGVQnw/1m/L5z/TVzG8U116/vQozHwK+l0Bpz0BSbX9Lk8kJpSUlLBhwwYKCwv9LkWkWkhJSaFVq1YkJiaGdbxCvBwbtudzxUtzaMlW/l38PMycB/2vhBMf9rs0kZiyYcMG0tPTadeunTdcJVKDOefIzs5mw4YNtG/fPqzXKMT3MfmnLdz+xnz6spgXkv5Gwq54OP9l6H6G36WJxJzCwkIFuEiImdGwYUMyMzPDfo1CvIxFm3Zx6+vz6NQkjYfPuYCEr3+EUQ9AvTZ+lyYSsxTgIj872H8PmuwlZHVWHg89P4EnE55i3EW9aNW8OZz7ggJcJMalpaUd9nvMnTuXm2++eb/Pr1mzhv/9739hHw/Qrl07evXqRe/evRk2bBhr16497Dory7PPPsvLL79cKe+1efNmTj311L323XLLLbRs2ZJgMLhn3wMPPMCjjz6613Ht2rUjKysLgC1btnDhhRfSsWNHunfvzimnnMKyZcsOq7aioiIuuOACOnXqxMCBA1mzZs0vjsnJyaFPnz57Ho0aNeLWW28F4Lbbbtuzv0uXLtSrVw+AzMxMTjrppMOqbbeIhriZnWRmS81shZndXc7zZmZPhZ7/0cz6RrKe/ckrLOHDcffxUuk9jEhdSbPgVj/KEJEo1b9/f5566qn9Pr9viB/o+N2mTJnCjz/+yPDhw3nooYcOu07n3F7BeKjGjh3LpZdeetjvA/DYY49xzTXX7NkOBoO88847tG7dmmnTpoX1Hs45zjrrLIYPH87KlStZtGgRDz/8MFu3Ht7/5c8//zz169dnxYoV3Hbbbdx1112/OCY9PZ158+btebRt25azzz4bgMcff3zP/ptuumnP/saNG9O8eXO+/vrrw6oPIhjiZhYPPA2cDHQHLjKzfRfgPhnoHHpcC/wrUvXsT9bWTSz8+yncVPwcuS2PI+E3M6Fxl6ouQ0SqkXnz5jFo0CB69+7NWWedxfbt2wGYM2cOvXv3ZvDgwdx555307NkTgK+++mpPa3Lq1Kl7Wl9HHXUUOTk53H333UyfPp0+ffrw+OOP73V8bm4uV1xxxZ5W91tvvfWLegYPHszGjRsBrxV3zjnnMGDAAAYMGLAnCDIzMznhhBPo27cv1113HW3btiUrK4s1a9bQrVs3fvOb39C3b1/Wr1/P3/72NwYMGEDv3r25//77AcjLy2PMmDEceeSR9OzZk9dffx2Au+++m+7du9O7d2/uuOMOYO9W8f7O1fDhw7nrrrs4+uij6dKlC9OnTy/3XL/11lt7tUqnTJlCz549uf766xk/fnxYf15TpkwhMTGRsWPH7tnXp08fhg4dGtbr9+e9997jsssuA+Dcc8/liy++wDm33+OXL19ORkZGuZ87fvx4Lrrooj3bZ555Jq+99tph1QeRHRM/GljhnFsFYGYTgDOARWWOOQN42XlnZZaZ1TOz5s65zRGsa4/v1m4n8N+LOap0AT/2uofe59yle79FfPLgBz+xaNOuSn3P7i3qcP9pPQ76dZdeein/+Mc/GDZsGPfddx8PPvggTzzxBFdccQXjxo3jmGOO4e67f9G5CMCjjz7K008/zbHHHktubi4pKSk88sgjPProo3z44YeAF/q7/fGPf6Ru3bosWLAAYE8IlvXJJ59w5plnAl5X82233caQIUNYt24dJ554IosXL+bBBx9k5MiR3HPPPXzyySeMGzduz+uXLl3Kiy++yDPPPMPkyZNZvnw5s2fPxjnH6aefzrRp08jMzKRFixZ89NFHAOzcuZNt27bxzjvvsGTJEsyMHTt2hH2uAAKBALNnz2bSpEk8+OCDfP7553u9dvXq1dSvX5/k5J9XfNwddmeccQa/+93vKCkpOeDtVgsXLqRfv34VHrPb0KFDycnJ+cX+Rx99lFGjRu21b+PGjbRu3RqAhIQE6tatS3Z2No0aNSr3vcePH88FF1zwi3HttWvXsnr1akaOHLlnX//+/bn33nvDqrkikQzxlsD6MtsbgH3nJy3vmJbAXiFuZtfitdRp06byxqib1knmb/WvI/HoZvQdOKLS3ldEotfOnTvZsWMHw4YNA+Cyyy7jvPPOY8eOHeTk5HDMMccAcPHFF+8J5bKOPfZYbr/9di655BLOPvtsWrVqVeHnff7550yYMGHPdv369fd8P2LECLZu3UqTJk32dKd//vnnLFr0c1to165d5OTkMGPGDN555x0ATjrppL3ep23btgwaNAiAyZMnM3nyZI466ijA6wlYvnw5Q4cO5Y477uCuu+7i1FNPZejQoQQCAVJSUrj66qsZM2bML8au93eudtvdfdyvX79yx5M3b95M48aN92wXFxczadIkHn/8cdLT0xk4cCCTJ09mzJgx+73g62AvBNtfj0B5ymt1V/R5EyZM4JVXXil3/7nnnkt8fPyefU2aNGHTpk1h17I/kQzx8n7Sfc9IOMfgnBsHjAPo37///vsyDlKr+rV48qaLDnygiETcobSYq1JF3ahl3X333YwZM4ZJkyYxaNCgX7Q+y3vf/QXDlClTqF27Npdffjn33Xcfjz32GMFgkG+++YbU1NSw66tdu/Zex91zzz1cd911vzjuu+++Y9KkSdxzzz2MHj2a++67j9mzZ/PFF18wYcIE/vnPf/Lll19W+POUtbuFHR8fTyAQ+MXzqampe03088knn7Bz50569eoFQH5+PrVq1WLMmDE0bNiQzZv37qTNycmhXr169OjRg4kTJ4ZV08G0xFu1asX69etp1aoVgUCAnTt30qBBg1+8FmD+/PkEAoFyewQmTJjA008/vde+wsLCX/wZHopIXti2AWhdZrsVsO+vHeEcIyJSZerWrUv9+vX3tNheeeUVhg0bRv369UlPT2fWrFkAe7Wey1q5ciW9evXirrvuon///ixZsoT09PRygwNg9OjR/POf/9yzvW93empqKk888QQvv/wy27Zt+8Xx8+bNA2DIkCG88cYbgNfaLq9bHuDEE0/khRdeIDc3F/C6jDMyMti0aRO1atXiV7/6FXfccQfff/89ubm57Ny5k1NOOYUnnnhiz2cd6FyFq0uXLnu10MePH89zzz3HmjVrWLNmDatXr2by5Mnk5+dz3HHH8f777+85j2+//TZHHnkk8fHxjBw5kqKiIv7zn//sea85c+YwderUX3zm9OnT97oQbfdj3wAHOP300/nvf/8LwMSJExk5cuR+f+Had8x7t6VLl7J9+3YGDx681/5ly5btuabicESyJT4H6Gxm7YGNwIXAxfsc8z5wY2i8fCCws6rGw0VEwGvtle3yvv322/nvf//L2LFjyc/Pp0OHDrz44ouAd7XyNddcQ+3atRk+fDh169b9xfs98cQTTJkyhfj4eLp3787JJ59MXFwcCQkJHHnkkVx++eV7urIB7r33Xm644QZ69uxJfHw8999//55u6N2aN2/ORRddxNNPP81TTz3FDTfcQO/evQkEAhx33HE8++yz3H///Vx00UW8/vrrDBs2jObNm5Oenr4nrHcbPXo0ixcv3hMqaWlpvPrqq6xYsYI777yTuLg4EhMT+de//kVOTg5nnHEGhYWFOOd4/PHHf/Hz7u9chaN27dp07NiRFStW0KJFCz799FP+/e9/7/X8kCFD+OCDD7jgggu48cYbGTJkCGZGkyZNeO655wCvi/udd97h1ltv5ZFHHiElJYV27drtGZs/VFdddRW//vWv6dSpEw0aNNjrF7c+ffrs9UvNG2+8waRJk37xHuPHj+fCCy/8RfhPmTKFMWPGHFZ9ABZuF9EhvbnZKcATQDzwgnPuT2Y2FsA596x5P9U/gZOAfOAK59zcit6zf//+bu7cCg8RkSixePFiunXr5ncZYcvNzd1zX/kjjzzC5s2befLJJ32uylNUVER8fDwJCQl88803XH/99b9oOVdH77zzDt99912l3EIXTY477jjee++9va5d2K28fxdm9p1zrv++x0Z0xjbn3CRg0j77ni3zvQNuiGQNIiKV5aOPPuLPf/4zgUCAtm3b8tJLL/ld0h7r1q3j/PPPJxgMkpSUtFfXcnV21llnkZ2d7XcZVSozM5Pbb7+93AA/WBFtiUeCWuIisSPaWuIiVeFgWuKadlVERCRKKcRFxFfR1hsoEkkH++9BIS4ivklJSSE7O1tBLsLP64mnpKSE/RotRSoivmnVqhUbNmw4qPWTRWJZSkrKAWf5K0shLiK+SUxMpH379n6XIRK11J0uIiISpRTiIiIiUUohLiIiEqWibrIXM8sE1lbiWzYCsirx/WoqncfDp3N4+HQOD5/O4eGLxDls65xrvO/OqAvxymZmc8ubBUcOjs7j4dM5PHw6h4dP5/DwVeU5VHe6iIhIlFKIi4iIRCmFOIzzu4AYofN4+HQOD5/O4eHTOTx8VXYOa/yYuIiISLRSS1xERCRK1ZgQN7OTzGypma0ws7vLed7M7KnQ8z+aWV8/6qzOwjiHl4TO3Y9mNtPMjvSjzursQOewzHEDzKzUzM6tyvqiRTjn0cyGm9k8M/vJzKZWdY3VXRj/nuua2QdmNj90Dq/wo87qysxeMLMMM1u4n+erJlOcczH/AOKBlUAHIAmYD3Tf55hTgI8BAwYB3/pdd3V6hHkOjwHqh74/Wefw4M9hmeO+BCYB5/pdd3V7hPl3sR6wCGgT2m7id93V6RHmOfwd8JfQ942BbUCS37VXlwdwHNAXWLif56skU2pKS/xoYIVzbpVzrhiYAJyxzzFnAC87zyygnpk1r+pCq7EDnkPn3Ezn3PbQ5iwg/KV4aoZw/h4C3AS8BWRUZXFRJJzzeDHwtnNuHYBzTudyb+GcQwekm5kBaXghHqjaMqsv59w0vHOyP1WSKTUlxFsC68tsbwjtO9hjarKDPT9X4f0WKj874Dk0s5bAWcCzVVhXtAnn72IXoL6ZfWVm35nZpVVWXXQI5xz+E+gGbAIWALc454JVU15MqJJMqSlLkVo5+/a9LD+cY2qysM+PmY3AC/EhEa0o+oRzDp8A7nLOlXoNIClHOOcxAegHHA+kAt+Y2Szn3LJIFxclwjmHJwLzgJFAR+AzM5vunNsV4dpiRZVkSk0J8Q1A6zLbrfB+uzzYY2qysM6PmfUGngNOds5lV1Ft0SKcc9gfmBAK8EbAKWYWcM69WyUVRodw/z1nOefygDwzmwYcCSjEPeGcwyuAR5w3wLvCzFYDXYHZVVNi1KuSTKkp3elzgM5m1t7MkoALgff3OeZ94NLQFYWDgJ3Ouc1VXWg1dsBzaGZtgLeBX6vFU64DnkPnXHvnXDvnXDtgIvAbBfgvhPPv+T1gqJklmFktYCCwuIrrrM7COYfr8HoyMLOmwBHAqiqtMrpVSabUiJa4cy5gZjcCn+JdlfmCc+4nMxsbev5ZvCuBTwFWAPl4v4VKSJjn8D6gIfBMqCUZcFpIYY8wz6EcQDjn0Tm32Mw+AX4EgsBzzrlybwWqicL8u/hH4CUzW4DXNXyXc06rm4WY2XhgONDIzDYA9wOJULWZohnbREREolRN6U4XERGJOQpxERGRKKUQFxERiVIKcRERkSilEBcREYlSCnERH4RWKJtX5tGugmNzK+HzXjKz1aHP+t7MBh/CezxnZt1D3/9un+dmHm6NoffZfV4WhlbQqneA4/uY2SmV8dki0Ui3mIn4wMxynXNplX1sBe/xEvChc26imY0GHnXO9T6M9zvsmg70vmb2X2CZc+5PFRx/OdDfOXdjZdciEg3UEhepBswszcy+CLWSF5jZL1Y3M7PmZjatTEt1aGj/aDP7JvTaN83sQOE6DegUeu3tofdaaGa3hvbVNrOPQutILzSzC0L7vzKz/mb2CJAaquO10HO5oa+vl20Zh3oAzjGzeDP7m5nNMW9t5evCOC3fEFowwsyONm+N+h9CX48IzTT2/4ALQrVcEKr9hdDn/FDeeRSJJTVixjaRaijVzOaFvl8NnAec5ZzbZWaNgFlm9r7bu6vsYuBT59yfzCweqBU69l5glHMuz8zuAm7HC7f9OQ1YYGb98GaRGog3I9e3ZjYVb43pTc65MQBmVrfsi51zd5vZjc65PuW89wTgAmBSKGSPB67HWxBnp3NugJklA1+b2WTn3OryCgz9fMcDz4d2LQGOC800Ngp42Dl3jpndR5mWuJk9DHzpnLsy1BU/28w+D82hLhJzFOIi/igoG4Jmlgg8bGbH4U0T2hJoCmwp85o5wAuhY991zs0zs2FAd7xQBEjCa8GW529mdi+QiReqxwPv7A44M3sbGAp8AjxqZn/B64KffhA/18fAU6GgPgmY5pwrCHXh9zazc0PH1QU64/0CU9buX27aAd8Bn5U5/r9m1hlvJajE/Xz+aOB0M7sjtJ0CtEHzpkuMUoiLVA+XAI2Bfs65EjNbgxdAezjnpoVCfgzwipn9DdgOfOacuyiMz7jTOTdx90aoRfsLzrlloVb6KcCfQy3milr2ZV9baGZf4S1jeQEwfvfHATc55z49wFsUOOf6hFr/HwI3AE/hzeM9xTl3VugiwK/283oDznHOLQ2nXpFopzFxkeqhLpARCvARQNt9DzCztqFj/oPXzdwXmAUca2a7x7hrmVmXMD9zGnBm6DW1gbOA6WbWAsh3zr0KPBr6nH2VhHoEyjMBr5t+KN4CG4S+Xr/7NWbWJfSZ5XLO7QRuBu4IvaYusDH09OVlDs0B0stsfwrcZKFuCTM7an+fIRILFOIi1cNrQH8zm4vXKl9SzjHDgXlm9gNwDvCkcy4TL9TGm9mPeKHeNZwPdM59D7yEtz70t3grff0A9MIbS54H/B54qJyXjwN+3H1h2z4mA8cBnzvnikP7ngMWAd+b2ULg3xygJzBUy3y8ZTL/itcr8DXeqlu7TQG6776wDa/FnhiqbWFoWyRm6RYzERGRKKWWuIiISJRSiIuIiEQphbiIiEiUUoiLiIhEKYW4iIhIlFKIi4iIRCmFuIiISJRSiIuIiESp/w9wyzVtXThKPQAAAABJRU5ErkJggg==",
-                        "text/plain": [
-                            "<Figure size 576x432 with 1 Axes>"
-                        ]
-                    },
-                    "metadata": {
-                        "needs_background": "light"
-                    },
-                    "output_type": "display_data"
-                }
-            ],
-            "source": [
-                "# ROC-Kurve, AUC\n",
-                "fig, ax = plt.subplots(figsize=(8,6))\n",
-                "ax.set_title('ROC Kurve')\n",
-                "plot = metrics.plot_roc_curve(logistic_model, X_test, y_test, ax=ax);\n",
-                "ax.plot([0,1], [0,1], '--');"
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "Die AUC der ROC-Kurve liefert einen guten Wert von 0,77 Daraus l\u00e4sst sich schlie\u00dfen, dass durch Optimierungen des Thresholds Optimierungspotential besteht."
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "## 4.3. Interpretation"
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "Zun\u00e4chst sollen jedoch die Ergebnisse f\u00fcr das Unternehmen dargestellt und gekl\u00e4rt werden, welche Dienstleistung zu einer Kundenzufriedenheit f\u00fchren w\u00fcrde und welche gegen die Kundenzufriedenheit sprechen."
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 76,
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "text/plain": [
-                            "Age                               -0.003849\n",
-                            "Type of Travel_Personal Travel    -0.255720\n",
-                            "Gender_Male                       -1.120784\n",
-                            "Class_Eco                         -1.236491\n",
-                            "Class_Eco Plus                    -1.328422\n",
-                            "Customer Type_disloyal Customer   -1.909557\n",
-                            "dtype: float64"
-                        ]
-                    },
-                    "execution_count": 76,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                }
-            ],
-            "source": [
-                "# Read out regression coefficients and thus find out importance of individual attributes\n",
-                "weights = pd.Series(logistic_model.coef_[0],\n",
-                " index=X_train.columns.values)\n",
-                "weights.sort_values(ascending = False)"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 77,
-            "metadata": {},
-            "outputs": [
-                {
-                    "name": "stdout",
-                    "output_type": "stream",
-                    "text": [
-                        "AxesSubplot(0.125,0.125;0.775x0.755)\n"
-                    ]
-                },
-                {
-                    "data": {
-                        "image/png": 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",
-                        "text/plain": [
-                            "<Figure size 432x288 with 1 Axes>"
-                        ]
-                    },
-                    "metadata": {
-                        "needs_background": "light"
-                    },
-                    "output_type": "display_data"
-                }
-            ],
-            "source": [
-                "# Graphical representation of the most important features that lead to customer satisfaction\n",
-                "weights = pd.Series(logistic_model.coef_[0],\n",
-                "                 index=X_train.columns.values)\n",
-                "print (weights.sort_values(ascending = False)[:7].plot(kind='bar'))"
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "Die drei wichtigsten Merkmale, die zur Kundenzufriedenheit f\u00fchren, sind:\n",
-                "\n",
-                "Der Customer Type_disloyal Customer\n",
-                "Die Klasse Eco Plus und\n",
-                "Die Klasse Eco"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 78,
-            "metadata": {},
-            "outputs": [
-                {
-                    "name": "stdout",
-                    "output_type": "stream",
-                    "text": [
-                        "AxesSubplot(0.125,0.125;0.775x0.755)\n"
-                    ]
-                },
-                {
-                    "data": {
-                        "image/png": 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",
-                        "text/plain": [
-                            "<Figure size 432x288 with 1 Axes>"
-                        ]
-                    },
-                    "metadata": {
-                        "needs_background": "light"
-                    },
-                    "output_type": "display_data"
-                }
-            ],
-            "source": [
-                "# Most important features that lead customers from a customer dissatisfaction\n",
-                "print(weights.sort_values(ascending = False)[-8:].plot(kind='bar'))"
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "Die drei wichtigsten Merkmale, die zu Kundenunzufriedenheit f\u00fchren\n",
-                "\n",
-                "Das Alter\n",
-                "Art der Reise_Pers\u00f6nliche Reisen\n",
-                "Geschlecht M\u00e4nnlich"
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "## 4.4. Modell Optimierung"
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "Die Aufkl\u00e4rungsrate ist als Zielgr\u00f6\u00dfe zu niedrig und muss daher erh\u00f6ht werden. Daher werden die Metriken bei verschiedenen Schwellenwerten der logistischen Regression analysiert."
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 79,
-            "metadata": {},
-            "outputs": [
-                {
-                    "name": "stdout",
-                    "output_type": "stream",
-                    "text": [
-                        "\n",
-                        "******** F\u00fcr einen Schwellenwert von 0.05 ******\n",
-                        "Accuracy: 0.5464599036204127\n",
-                        "True Negatives: 0\n",
-                        "False Positives: 14682\n",
-                        "False Negatives: 0\n",
-                        "True Positives: 17690\n",
-                        "Recall: 1.0\n",
-                        "Precision: 0.5464599036204127\n",
-                        "\n",
-                        "******** F\u00fcr einen Schwellenwert von 0.1 ******\n",
-                        "Accuracy: 0.5809650315087113\n",
-                        "True Negatives: 1360\n",
-                        "False Positives: 13322\n",
-                        "False Negatives: 243\n",
-                        "True Positives: 17447\n",
-                        "Recall: 0.9862634256642171\n",
-                        "Precision: 0.5670317527381455\n",
-                        "\n",
-                        "******** F\u00fcr einen Schwellenwert von 0.15 ******\n",
-                        "Accuracy: 0.5809650315087113\n",
-                        "True Negatives: 1360\n",
-                        "False Positives: 13322\n",
-                        "False Negatives: 243\n",
-                        "True Positives: 17447\n",
-                        "Recall: 0.9862634256642171\n",
-                        "Precision: 0.5670317527381455\n",
-                        "\n",
-                        "******** F\u00fcr einen Schwellenwert von 0.2 ******\n",
-                        "Accuracy: 0.5825404670703077\n",
-                        "True Negatives: 1418\n",
-                        "False Positives: 13264\n",
-                        "False Negatives: 250\n",
-                        "True Positives: 17440\n",
-                        "Recall: 0.9858677218767665\n",
-                        "Precision: 0.5680041688379365\n",
-                        "\n",
-                        "******** F\u00fcr einen Schwellenwert von 0.25 ******\n",
-                        "Accuracy: 0.6289385889039911\n",
-                        "True Negatives: 3675\n",
-                        "False Positives: 11007\n",
-                        "False Negatives: 1005\n",
-                        "True Positives: 16685\n",
-                        "Recall: 0.9431882419446015\n",
-                        "Precision: 0.6025205835620395\n",
-                        "\n",
-                        "******** F\u00fcr einen Schwellenwert von 0.3 ******\n",
-                        "Accuracy: 0.6418818732237737\n",
-                        "True Negatives: 4139\n",
-                        "False Positives: 10543\n",
-                        "False Negatives: 1050\n",
-                        "True Positives: 16640\n",
-                        "Recall: 0.9406444318824194\n",
-                        "Precision: 0.6121472979435677\n",
-                        "\n",
-                        "******** F\u00fcr einen Schwellenwert von 0.35 ******\n",
-                        "Accuracy: 0.7478685283578401\n",
-                        "True Negatives: 7975\n",
-                        "False Positives: 6707\n",
-                        "False Negatives: 1455\n",
-                        "True Positives: 16235\n",
-                        "Recall: 0.9177501413227812\n",
-                        "Precision: 0.7076540842123616\n",
-                        "\n",
-                        "******** F\u00fcr einen Schwellenwert von 0.4 ******\n",
-                        "Accuracy: 0.753984925244038\n",
-                        "True Negatives: 9099\n",
-                        "False Positives: 5583\n",
-                        "False Negatives: 2381\n",
-                        "True Positives: 15309\n",
-                        "Recall: 0.8654041831543244\n",
-                        "Precision: 0.7327685238368754\n",
-                        "\n",
-                        "******** F\u00fcr einen Schwellenwert von 0.45 ******\n",
-                        "Accuracy: 0.7540467070307674\n",
-                        "True Negatives: 9101\n",
-                        "False Positives: 5581\n",
-                        "False Negatives: 2381\n",
-                        "True Positives: 15309\n",
-                        "Recall: 0.8654041831543244\n",
-                        "Precision: 0.7328386787936811\n",
-                        "\n",
-                        "******** F\u00fcr einen Schwellenwert von 0.5 ******\n",
-                        "Accuracy: 0.7619238848387495\n",
-                        "True Negatives: 9818\n",
-                        "False Positives: 4864\n",
-                        "False Negatives: 2843\n",
-                        "True Positives: 14847\n",
-                        "Recall: 0.839287733182589\n",
-                        "Precision: 0.7532342346912891\n",
-                        "\n",
-                        "******** F\u00fcr einen Schwellenwert von 0.55 ******\n",
-                        "Accuracy: 0.7619238848387495\n",
-                        "True Negatives: 9818\n",
-                        "False Positives: 4864\n",
-                        "False Negatives: 2843\n",
-                        "True Positives: 14847\n",
-                        "Recall: 0.839287733182589\n",
-                        "Precision: 0.7532342346912891\n",
-                        "\n",
-                        "******** F\u00fcr einen Schwellenwert von 0.6 ******\n",
-                        "Accuracy: 0.6669343877424935\n",
-                        "True Negatives: 10578\n",
-                        "False Positives: 4104\n",
-                        "False Negatives: 6678\n",
-                        "True Positives: 11012\n",
-                        "Recall: 0.6224985867721877\n",
-                        "Precision: 0.7284996030695952\n",
-                        "\n",
-                        "******** F\u00fcr einen Schwellenwert von 0.65 ******\n",
-                        "Accuracy: 0.6780242184603978\n",
-                        "True Negatives: 11824\n",
-                        "False Positives: 2858\n",
-                        "False Negatives: 7565\n",
-                        "True Positives: 10125\n",
-                        "Recall: 0.5723572639909553\n",
-                        "Precision: 0.7798659785873835\n",
-                        "\n",
-                        "******** F\u00fcr einen Schwellenwert von 0.7 ******\n",
-                        "Accuracy: 0.5688249104164093\n",
-                        "True Negatives: 13250\n",
-                        "False Positives: 1432\n",
-                        "False Negatives: 12526\n",
-                        "True Positives: 5164\n",
-                        "Recall: 0.29191633691351043\n",
-                        "Precision: 0.7828987265009096\n",
-                        "\n",
-                        "******** F\u00fcr einen Schwellenwert von 0.75 ******\n",
-                        "Accuracy: 0.5688249104164093\n",
-                        "True Negatives: 13250\n",
-                        "False Positives: 1432\n",
-                        "False Negatives: 12526\n",
-                        "True Positives: 5164\n",
-                        "Recall: 0.29191633691351043\n",
-                        "Precision: 0.7828987265009096\n",
-                        "\n",
-                        "******** F\u00fcr einen Schwellenwert von 0.8 ******\n",
-                        "Accuracy: 0.5688249104164093\n",
-                        "True Negatives: 13250\n",
-                        "False Positives: 1432\n",
-                        "False Negatives: 12526\n",
-                        "True Positives: 5164\n",
-                        "Recall: 0.29191633691351043\n",
-                        "Precision: 0.7828987265009096\n",
-                        "\n",
-                        "******** F\u00fcr einen Schwellenwert von 0.85 ******\n",
-                        "Accuracy: 0.5626158408501174\n",
-                        "True Negatives: 13298\n",
-                        "False Positives: 1384\n",
-                        "False Negatives: 12775\n",
-                        "True Positives: 4915\n",
-                        "Recall: 0.27784058790276994\n",
-                        "Precision: 0.7802825845372281\n",
-                        "\n",
-                        "******** F\u00fcr einen Schwellenwert von 0.9 ******\n",
-                        "Accuracy: 0.4535400963795873\n",
-                        "True Negatives: 14682\n",
-                        "False Positives: 0\n",
-                        "False Negatives: 17690\n",
-                        "True Positives: 0\n",
-                        "Recall: 0.0\n",
-                        "Precision: nan\n",
-                        "\n",
-                        "******** F\u00fcr einen Schwellenwert von 0.95 ******\n",
-                        "Accuracy: 0.4535400963795873\n",
-                        "True Negatives: 14682\n",
-                        "False Positives: 0\n",
-                        "False Negatives: 17690\n",
-                        "True Positives: 0\n",
-                        "Recall: 0.0\n",
-                        "Precision: nan\n",
-                        "\n",
-                        "******** F\u00fcr einen Schwellenwert von 0.99 ******\n",
-                        "Accuracy: 0.4535400963795873\n",
-                        "True Negatives: 14682\n",
-                        "False Positives: 0\n",
-                        "False Negatives: 17690\n",
-                        "True Positives: 0\n",
-                        "Recall: 0.0\n",
-                        "Precision: nan\n"
-                    ]
-                }
-            ],
-            "source": [
-                "# Testing the metrics at different thresholds\n",
-                "threshold_list = [0.05,0.1,0.15,0.2,0.25,0.3,0.35,0.4,0.45,0.5,0.55,0.6,0.65,.7,.75,.8,.85,.9,.95,.99]\n",
-                "pred_proba_df = y_hat\n",
-                "for i in threshold_list:\n",
-                "    print ('\\n******** F\u00fcr einen Schwellenwert von {} ******'.format(i))\n",
-                "    # Round up if value is above threshold\n",
-                "    y_test_pred = pred_proba_df.apply(lambda x: 1 if x>i else 0)\n",
-                "    # read metrics\n",
-                "    test_accuracy = metrics.accuracy_score(y_test, y_test_pred)\n",
-                "    print(\"Accuracy: {}\".format(test_accuracy))\n",
-                "    # Confusion matrix\n",
-                "    c = confusion_matrix(y_test, y_test_pred)\n",
-                "    tn, fp, fn, tp = c.ravel()\n",
-                "    recall = tp/(fn+tp)\n",
-                "    precision = tp/(tp+fp)\n",
-                "    # print metrics\n",
-                "    print(\"True Negatives: \" + str(tn))\n",
-                "    print(\"False Positives: \" + str(fp))\n",
-                "    print(\"False Negatives: \" + str(fn))\n",
-                "    print(\"True Positives: \" + str(tp))\n",
-                "    print(\"Recall: \" + str(recall))\n",
-                "    print(\"Precision: \" + str(precision))"
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "# 5. Deployment"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 80,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "# seperate individual (scaled) customer\n",
-                "customer_df = X_test.iloc[896]"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 81,
-            "metadata": {
-                "scrolled": true
-            },
-            "outputs": [
-                {
-                    "data": {
-                        "text/plain": [
-                            "Age                               -0.028362\n",
-                            "Gender_Male                        0.000000\n",
-                            "Customer Type_disloyal Customer    0.000000\n",
-                            "Type of Travel_Personal Travel     0.000000\n",
-                            "Class_Eco                          0.000000\n",
-                            "Class_Eco Plus                     0.000000\n",
-                            "Name: 94290, dtype: float64"
-                        ]
-                    },
-                    "execution_count": 81,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                }
-            ],
-            "source": [
-                "# overview about the customer\n",
-                "customer_df"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 82,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "# Run Prediction\n",
-                "cust_pred = logistic_model.predict([customer_df])"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 83,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "# interprate result\n",
-                "def check_prediction(pred):\n",
-                "    if pred[0] == 1:\n",
-                "        print(\"Der Kunde wird vermutlich unzufrieden sein! Customer Relationship Management informieren!\")\n",
-                "    else:\n",
-                "        print(\"Der Kunde wird vermutlich zufrieden sein.\")"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 84,
-            "metadata": {},
-            "outputs": [
-                {
-                    "name": "stdout",
-                    "output_type": "stream",
-                    "text": [
-                        "Der Kunde wird vermutlich unzufrieden sein! Customer Relationship Management informieren!\n"
-                    ]
-                }
-            ],
-            "source": [
-                "check_prediction(cust_pred)"
-            ]
-        }
-    ],
-    "metadata": {
-        "kernelspec": {
-            "display_name": "Python 3",
-            "language": "python",
-            "name": "python3"
-        },
-        "language_info": {
-            "codemirror_mode": {
-                "name": "ipython",
-                "version": 3
-            },
-            "file_extension": ".py",
-            "mimetype": "text/x-python",
-            "name": "python",
-            "nbconvert_exporter": "python",
-            "pygments_lexer": "ipython3",
-            "version": "3.8.5"
-        },
-        "title": "Customer Satisfaction Airlines",
-        "category": "CRM"
+ "cells": [
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {
+    "editable": true,
+    "include": true,
+    "paragraph": "BusinessUnderstanding",
+    "slideshow": {
+     "slide_type": ""
     },
-    "nbformat": 4,
-    "nbformat_minor": 4
-}
\ No newline at end of file
+    "tags": []
+   },
+   "source": [
+    "# 1. Business Understanding\n",
+    "\n",
+    "Der Datensatz besteht aus den Angaben von Kunden, die bereits mit ihnen geflogen sind. Das Feedback der Kunden zu verschiedenen Kontexten und deren Flugdaten wurde konsolidiert. Der Hauptzweck dieses Datensatzes besteht darin, vorherzusagen, ob ein zukünftiger Kunde angesichts der Details der anderen Parameterwerte mit seinem Service zufrieden sein würde. Auch die Fluggesellschaften müssen wissen, auf welchen Aspekt der von ihnen angebotenen Dienstleistungen mehr Wert gelegt werden muss, um zufriedenere Kunden zu generieren."
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {
+    "editable": true,
+    "include": true,
+    "paragraph": "DataUnderstanding",
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
+   "source": [
+    "# 2. Daten und Datenverständnis\n",
+    "\n"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 2.1 Import von relevanten Modulen"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {
+    "editable": true,
+    "jupyter": {
+     "source_hidden": true
+    },
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "import seaborn as sn\n",
+    "import seaborn as sns\n",
+    "import statsmodels.api as sm\n",
+    "import warnings\n",
+    "import random as rnd\n",
+    "import sklearn as sk\n",
+    "# Removes the deprecated warnings\n",
+    "warnings.filterwarnings('ignore')"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 2. Daten einlesen"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>satisfaction</th>\n",
+       "      <th>Gender</th>\n",
+       "      <th>Customer Type</th>\n",
+       "      <th>Age</th>\n",
+       "      <th>Type of Travel</th>\n",
+       "      <th>Class</th>\n",
+       "      <th>Flight Distance</th>\n",
+       "      <th>Seat comfort</th>\n",
+       "      <th>Departure/Arrival time convenient</th>\n",
+       "      <th>Food and drink</th>\n",
+       "      <th>...</th>\n",
+       "      <th>Online support</th>\n",
+       "      <th>Ease of Online booking</th>\n",
+       "      <th>On-board service</th>\n",
+       "      <th>Leg room service</th>\n",
+       "      <th>Baggage handling</th>\n",
+       "      <th>Checkin service</th>\n",
+       "      <th>Cleanliness</th>\n",
+       "      <th>Online boarding</th>\n",
+       "      <th>Departure Delay in Minutes</th>\n",
+       "      <th>Arrival Delay in Minutes</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>satisfied</td>\n",
+       "      <td>Female</td>\n",
+       "      <td>Loyal Customer</td>\n",
+       "      <td>65</td>\n",
+       "      <td>Personal Travel</td>\n",
+       "      <td>Eco</td>\n",
+       "      <td>265</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>5</td>\n",
+       "      <td>3</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>satisfied</td>\n",
+       "      <td>Male</td>\n",
+       "      <td>Loyal Customer</td>\n",
+       "      <td>47</td>\n",
+       "      <td>Personal Travel</td>\n",
+       "      <td>Business</td>\n",
+       "      <td>2464</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>4</td>\n",
+       "      <td>4</td>\n",
+       "      <td>4</td>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>2</td>\n",
+       "      <td>310</td>\n",
+       "      <td>305.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>satisfied</td>\n",
+       "      <td>Female</td>\n",
+       "      <td>Loyal Customer</td>\n",
+       "      <td>15</td>\n",
+       "      <td>Personal Travel</td>\n",
+       "      <td>Eco</td>\n",
+       "      <td>2138</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>4</td>\n",
+       "      <td>4</td>\n",
+       "      <td>4</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>satisfied</td>\n",
+       "      <td>Female</td>\n",
+       "      <td>Loyal Customer</td>\n",
+       "      <td>60</td>\n",
+       "      <td>Personal Travel</td>\n",
+       "      <td>Eco</td>\n",
+       "      <td>623</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>4</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>satisfied</td>\n",
+       "      <td>Female</td>\n",
+       "      <td>Loyal Customer</td>\n",
+       "      <td>70</td>\n",
+       "      <td>Personal Travel</td>\n",
+       "      <td>Eco</td>\n",
+       "      <td>354</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>4</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>4</td>\n",
+       "      <td>2</td>\n",
+       "      <td>5</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>5 rows × 23 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "  satisfaction  Gender   Customer Type  Age   Type of Travel     Class  \\\n",
+       "0    satisfied  Female  Loyal Customer   65  Personal Travel       Eco   \n",
+       "1    satisfied    Male  Loyal Customer   47  Personal Travel  Business   \n",
+       "2    satisfied  Female  Loyal Customer   15  Personal Travel       Eco   \n",
+       "3    satisfied  Female  Loyal Customer   60  Personal Travel       Eco   \n",
+       "4    satisfied  Female  Loyal Customer   70  Personal Travel       Eco   \n",
+       "\n",
+       "   Flight Distance  Seat comfort  Departure/Arrival time convenient  \\\n",
+       "0              265             0                                  0   \n",
+       "1             2464             0                                  0   \n",
+       "2             2138             0                                  0   \n",
+       "3              623             0                                  0   \n",
+       "4              354             0                                  0   \n",
+       "\n",
+       "   Food and drink  ...  Online support  Ease of Online booking  \\\n",
+       "0               0  ...               2                       3   \n",
+       "1               0  ...               2                       3   \n",
+       "2               0  ...               2                       2   \n",
+       "3               0  ...               3                       1   \n",
+       "4               0  ...               4                       2   \n",
+       "\n",
+       "   On-board service  Leg room service  Baggage handling  Checkin service  \\\n",
+       "0                 3                 0                 3                5   \n",
+       "1                 4                 4                 4                2   \n",
+       "2                 3                 3                 4                4   \n",
+       "3                 1                 0                 1                4   \n",
+       "4                 2                 0                 2                4   \n",
+       "\n",
+       "   Cleanliness  Online boarding  Departure Delay in Minutes  \\\n",
+       "0            3                2                           0   \n",
+       "1            3                2                         310   \n",
+       "2            4                2                           0   \n",
+       "3            1                3                           0   \n",
+       "4            2                5                           0   \n",
+       "\n",
+       "   Arrival Delay in Minutes  \n",
+       "0                       0.0  \n",
+       "1                     305.0  \n",
+       "2                       0.0  \n",
+       "3                       0.0  \n",
+       "4                       0.0  \n",
+       "\n",
+       "[5 rows x 23 columns]"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "raw_data=pd.read_csv('https://storage.googleapis.com/ml-service-repository-datastorage/Customer_Satisfaction_Airlines_data.csv')\n",
+    "raw_data.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>satisfaction</th>\n",
+       "      <th>Gender</th>\n",
+       "      <th>Customer Type</th>\n",
+       "      <th>Age</th>\n",
+       "      <th>Type of Travel</th>\n",
+       "      <th>Class</th>\n",
+       "      <th>Flight Distance</th>\n",
+       "      <th>Seat comfort</th>\n",
+       "      <th>Departure/Arrival time convenient</th>\n",
+       "      <th>Food and drink</th>\n",
+       "      <th>...</th>\n",
+       "      <th>Online support</th>\n",
+       "      <th>Ease of Online booking</th>\n",
+       "      <th>On-board service</th>\n",
+       "      <th>Leg room service</th>\n",
+       "      <th>Baggage handling</th>\n",
+       "      <th>Checkin service</th>\n",
+       "      <th>Cleanliness</th>\n",
+       "      <th>Online boarding</th>\n",
+       "      <th>Departure Delay in Minutes</th>\n",
+       "      <th>Arrival Delay in Minutes</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>count</th>\n",
+       "      <td>129880</td>\n",
+       "      <td>129880</td>\n",
+       "      <td>129880</td>\n",
+       "      <td>129880.000000</td>\n",
+       "      <td>129880</td>\n",
+       "      <td>129880</td>\n",
+       "      <td>129880.000000</td>\n",
+       "      <td>129880.000000</td>\n",
+       "      <td>129880.000000</td>\n",
+       "      <td>129880.000000</td>\n",
+       "      <td>...</td>\n",
+       "      <td>129880.000000</td>\n",
+       "      <td>129880.000000</td>\n",
+       "      <td>129880.000000</td>\n",
+       "      <td>129880.000000</td>\n",
+       "      <td>129880.000000</td>\n",
+       "      <td>129880.000000</td>\n",
+       "      <td>129880.000000</td>\n",
+       "      <td>129880.000000</td>\n",
+       "      <td>129880.000000</td>\n",
+       "      <td>129487.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>unique</th>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>...</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>top</th>\n",
+       "      <td>satisfied</td>\n",
+       "      <td>Female</td>\n",
+       "      <td>Loyal Customer</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Business travel</td>\n",
+       "      <td>Business</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>...</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>freq</th>\n",
+       "      <td>71087</td>\n",
+       "      <td>65899</td>\n",
+       "      <td>106100</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>89693</td>\n",
+       "      <td>62160</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>...</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mean</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>39.427957</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1981.409055</td>\n",
+       "      <td>2.838597</td>\n",
+       "      <td>2.990645</td>\n",
+       "      <td>2.851994</td>\n",
+       "      <td>...</td>\n",
+       "      <td>3.519703</td>\n",
+       "      <td>3.472105</td>\n",
+       "      <td>3.465075</td>\n",
+       "      <td>3.485902</td>\n",
+       "      <td>3.695673</td>\n",
+       "      <td>3.340807</td>\n",
+       "      <td>3.705759</td>\n",
+       "      <td>3.352587</td>\n",
+       "      <td>14.713713</td>\n",
+       "      <td>15.091129</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>std</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>15.119360</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1027.115606</td>\n",
+       "      <td>1.392983</td>\n",
+       "      <td>1.527224</td>\n",
+       "      <td>1.443729</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.306511</td>\n",
+       "      <td>1.305560</td>\n",
+       "      <td>1.270836</td>\n",
+       "      <td>1.292226</td>\n",
+       "      <td>1.156483</td>\n",
+       "      <td>1.260582</td>\n",
+       "      <td>1.151774</td>\n",
+       "      <td>1.298715</td>\n",
+       "      <td>38.071126</td>\n",
+       "      <td>38.465650</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>min</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>7.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>50.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25%</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>27.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1359.000000</td>\n",
+       "      <td>2.000000</td>\n",
+       "      <td>2.000000</td>\n",
+       "      <td>2.000000</td>\n",
+       "      <td>...</td>\n",
+       "      <td>3.000000</td>\n",
+       "      <td>2.000000</td>\n",
+       "      <td>3.000000</td>\n",
+       "      <td>2.000000</td>\n",
+       "      <td>3.000000</td>\n",
+       "      <td>3.000000</td>\n",
+       "      <td>3.000000</td>\n",
+       "      <td>2.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50%</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>40.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1925.000000</td>\n",
+       "      <td>3.000000</td>\n",
+       "      <td>3.000000</td>\n",
+       "      <td>3.000000</td>\n",
+       "      <td>...</td>\n",
+       "      <td>4.000000</td>\n",
+       "      <td>4.000000</td>\n",
+       "      <td>4.000000</td>\n",
+       "      <td>4.000000</td>\n",
+       "      <td>4.000000</td>\n",
+       "      <td>3.000000</td>\n",
+       "      <td>4.000000</td>\n",
+       "      <td>4.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75%</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>51.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>2544.000000</td>\n",
+       "      <td>4.000000</td>\n",
+       "      <td>4.000000</td>\n",
+       "      <td>4.000000</td>\n",
+       "      <td>...</td>\n",
+       "      <td>5.000000</td>\n",
+       "      <td>5.000000</td>\n",
+       "      <td>4.000000</td>\n",
+       "      <td>5.000000</td>\n",
+       "      <td>5.000000</td>\n",
+       "      <td>4.000000</td>\n",
+       "      <td>5.000000</td>\n",
+       "      <td>4.000000</td>\n",
+       "      <td>12.000000</td>\n",
+       "      <td>13.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>max</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>85.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>6951.000000</td>\n",
+       "      <td>5.000000</td>\n",
+       "      <td>5.000000</td>\n",
+       "      <td>5.000000</td>\n",
+       "      <td>...</td>\n",
+       "      <td>5.000000</td>\n",
+       "      <td>5.000000</td>\n",
+       "      <td>5.000000</td>\n",
+       "      <td>5.000000</td>\n",
+       "      <td>5.000000</td>\n",
+       "      <td>5.000000</td>\n",
+       "      <td>5.000000</td>\n",
+       "      <td>5.000000</td>\n",
+       "      <td>1592.000000</td>\n",
+       "      <td>1584.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>11 rows × 23 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       satisfaction  Gender   Customer Type            Age   Type of Travel  \\\n",
+       "count        129880  129880          129880  129880.000000           129880   \n",
+       "unique            2       2               2            NaN                2   \n",
+       "top       satisfied  Female  Loyal Customer            NaN  Business travel   \n",
+       "freq          71087   65899          106100            NaN            89693   \n",
+       "mean            NaN     NaN             NaN      39.427957              NaN   \n",
+       "std             NaN     NaN             NaN      15.119360              NaN   \n",
+       "min             NaN     NaN             NaN       7.000000              NaN   \n",
+       "25%             NaN     NaN             NaN      27.000000              NaN   \n",
+       "50%             NaN     NaN             NaN      40.000000              NaN   \n",
+       "75%             NaN     NaN             NaN      51.000000              NaN   \n",
+       "max             NaN     NaN             NaN      85.000000              NaN   \n",
+       "\n",
+       "           Class  Flight Distance   Seat comfort  \\\n",
+       "count     129880    129880.000000  129880.000000   \n",
+       "unique         3              NaN            NaN   \n",
+       "top     Business              NaN            NaN   \n",
+       "freq       62160              NaN            NaN   \n",
+       "mean         NaN      1981.409055       2.838597   \n",
+       "std          NaN      1027.115606       1.392983   \n",
+       "min          NaN        50.000000       0.000000   \n",
+       "25%          NaN      1359.000000       2.000000   \n",
+       "50%          NaN      1925.000000       3.000000   \n",
+       "75%          NaN      2544.000000       4.000000   \n",
+       "max          NaN      6951.000000       5.000000   \n",
+       "\n",
+       "        Departure/Arrival time convenient  Food and drink  ...  \\\n",
+       "count                       129880.000000   129880.000000  ...   \n",
+       "unique                                NaN             NaN  ...   \n",
+       "top                                   NaN             NaN  ...   \n",
+       "freq                                  NaN             NaN  ...   \n",
+       "mean                             2.990645        2.851994  ...   \n",
+       "std                              1.527224        1.443729  ...   \n",
+       "min                              0.000000        0.000000  ...   \n",
+       "25%                              2.000000        2.000000  ...   \n",
+       "50%                              3.000000        3.000000  ...   \n",
+       "75%                              4.000000        4.000000  ...   \n",
+       "max                              5.000000        5.000000  ...   \n",
+       "\n",
+       "        Online support  Ease of Online booking  On-board service  \\\n",
+       "count    129880.000000           129880.000000     129880.000000   \n",
+       "unique             NaN                     NaN               NaN   \n",
+       "top                NaN                     NaN               NaN   \n",
+       "freq               NaN                     NaN               NaN   \n",
+       "mean          3.519703                3.472105          3.465075   \n",
+       "std           1.306511                1.305560          1.270836   \n",
+       "min           0.000000                0.000000          0.000000   \n",
+       "25%           3.000000                2.000000          3.000000   \n",
+       "50%           4.000000                4.000000          4.000000   \n",
+       "75%           5.000000                5.000000          4.000000   \n",
+       "max           5.000000                5.000000          5.000000   \n",
+       "\n",
+       "        Leg room service  Baggage handling  Checkin service    Cleanliness  \\\n",
+       "count      129880.000000     129880.000000    129880.000000  129880.000000   \n",
+       "unique               NaN               NaN              NaN            NaN   \n",
+       "top                  NaN               NaN              NaN            NaN   \n",
+       "freq                 NaN               NaN              NaN            NaN   \n",
+       "mean            3.485902          3.695673         3.340807       3.705759   \n",
+       "std             1.292226          1.156483         1.260582       1.151774   \n",
+       "min             0.000000          1.000000         0.000000       0.000000   \n",
+       "25%             2.000000          3.000000         3.000000       3.000000   \n",
+       "50%             4.000000          4.000000         3.000000       4.000000   \n",
+       "75%             5.000000          5.000000         4.000000       5.000000   \n",
+       "max             5.000000          5.000000         5.000000       5.000000   \n",
+       "\n",
+       "        Online boarding  Departure Delay in Minutes  Arrival Delay in Minutes  \n",
+       "count     129880.000000               129880.000000             129487.000000  \n",
+       "unique              NaN                         NaN                       NaN  \n",
+       "top                 NaN                         NaN                       NaN  \n",
+       "freq                NaN                         NaN                       NaN  \n",
+       "mean           3.352587                   14.713713                 15.091129  \n",
+       "std            1.298715                   38.071126                 38.465650  \n",
+       "min            0.000000                    0.000000                  0.000000  \n",
+       "25%            2.000000                    0.000000                  0.000000  \n",
+       "50%            4.000000                    0.000000                  0.000000  \n",
+       "75%            4.000000                   12.000000                 13.000000  \n",
+       "max            5.000000                 1592.000000               1584.000000  \n",
+       "\n",
+       "[11 rows x 23 columns]"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "raw_data.describe(include='all')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Age</th>\n",
+       "      <th>Flight Distance</th>\n",
+       "      <th>Seat comfort</th>\n",
+       "      <th>Departure/Arrival time convenient</th>\n",
+       "      <th>Food and drink</th>\n",
+       "      <th>Gate location</th>\n",
+       "      <th>Inflight wifi service</th>\n",
+       "      <th>Inflight entertainment</th>\n",
+       "      <th>Online support</th>\n",
+       "      <th>Ease of Online booking</th>\n",
+       "      <th>On-board service</th>\n",
+       "      <th>Leg room service</th>\n",
+       "      <th>Baggage handling</th>\n",
+       "      <th>Checkin service</th>\n",
+       "      <th>Cleanliness</th>\n",
+       "      <th>Online boarding</th>\n",
+       "      <th>Departure Delay in Minutes</th>\n",
+       "      <th>Arrival Delay in Minutes</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>count</th>\n",
+       "      <td>129880.000000</td>\n",
+       "      <td>129880.000000</td>\n",
+       "      <td>129880.000000</td>\n",
+       "      <td>129880.000000</td>\n",
+       "      <td>129880.000000</td>\n",
+       "      <td>129880.000000</td>\n",
+       "      <td>129880.000000</td>\n",
+       "      <td>129880.000000</td>\n",
+       "      <td>129880.000000</td>\n",
+       "      <td>129880.000000</td>\n",
+       "      <td>129880.000000</td>\n",
+       "      <td>129880.000000</td>\n",
+       "      <td>129880.000000</td>\n",
+       "      <td>129880.000000</td>\n",
+       "      <td>129880.000000</td>\n",
+       "      <td>129880.000000</td>\n",
+       "      <td>129880.000000</td>\n",
+       "      <td>129487.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mean</th>\n",
+       "      <td>39.427957</td>\n",
+       "      <td>1981.409055</td>\n",
+       "      <td>2.838597</td>\n",
+       "      <td>2.990645</td>\n",
+       "      <td>2.851994</td>\n",
+       "      <td>2.990422</td>\n",
+       "      <td>3.249130</td>\n",
+       "      <td>3.383477</td>\n",
+       "      <td>3.519703</td>\n",
+       "      <td>3.472105</td>\n",
+       "      <td>3.465075</td>\n",
+       "      <td>3.485902</td>\n",
+       "      <td>3.695673</td>\n",
+       "      <td>3.340807</td>\n",
+       "      <td>3.705759</td>\n",
+       "      <td>3.352587</td>\n",
+       "      <td>14.713713</td>\n",
+       "      <td>15.091129</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>std</th>\n",
+       "      <td>15.119360</td>\n",
+       "      <td>1027.115606</td>\n",
+       "      <td>1.392983</td>\n",
+       "      <td>1.527224</td>\n",
+       "      <td>1.443729</td>\n",
+       "      <td>1.305970</td>\n",
+       "      <td>1.318818</td>\n",
+       "      <td>1.346059</td>\n",
+       "      <td>1.306511</td>\n",
+       "      <td>1.305560</td>\n",
+       "      <td>1.270836</td>\n",
+       "      <td>1.292226</td>\n",
+       "      <td>1.156483</td>\n",
+       "      <td>1.260582</td>\n",
+       "      <td>1.151774</td>\n",
+       "      <td>1.298715</td>\n",
+       "      <td>38.071126</td>\n",
+       "      <td>38.465650</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>min</th>\n",
+       "      <td>7.000000</td>\n",
+       "      <td>50.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25%</th>\n",
+       "      <td>27.000000</td>\n",
+       "      <td>1359.000000</td>\n",
+       "      <td>2.000000</td>\n",
+       "      <td>2.000000</td>\n",
+       "      <td>2.000000</td>\n",
+       "      <td>2.000000</td>\n",
+       "      <td>2.000000</td>\n",
+       "      <td>2.000000</td>\n",
+       "      <td>3.000000</td>\n",
+       "      <td>2.000000</td>\n",
+       "      <td>3.000000</td>\n",
+       "      <td>2.000000</td>\n",
+       "      <td>3.000000</td>\n",
+       "      <td>3.000000</td>\n",
+       "      <td>3.000000</td>\n",
+       "      <td>2.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50%</th>\n",
+       "      <td>40.000000</td>\n",
+       "      <td>1925.000000</td>\n",
+       "      <td>3.000000</td>\n",
+       "      <td>3.000000</td>\n",
+       "      <td>3.000000</td>\n",
+       "      <td>3.000000</td>\n",
+       "      <td>3.000000</td>\n",
+       "      <td>4.000000</td>\n",
+       "      <td>4.000000</td>\n",
+       "      <td>4.000000</td>\n",
+       "      <td>4.000000</td>\n",
+       "      <td>4.000000</td>\n",
+       "      <td>4.000000</td>\n",
+       "      <td>3.000000</td>\n",
+       "      <td>4.000000</td>\n",
+       "      <td>4.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75%</th>\n",
+       "      <td>51.000000</td>\n",
+       "      <td>2544.000000</td>\n",
+       "      <td>4.000000</td>\n",
+       "      <td>4.000000</td>\n",
+       "      <td>4.000000</td>\n",
+       "      <td>4.000000</td>\n",
+       "      <td>4.000000</td>\n",
+       "      <td>4.000000</td>\n",
+       "      <td>5.000000</td>\n",
+       "      <td>5.000000</td>\n",
+       "      <td>4.000000</td>\n",
+       "      <td>5.000000</td>\n",
+       "      <td>5.000000</td>\n",
+       "      <td>4.000000</td>\n",
+       "      <td>5.000000</td>\n",
+       "      <td>4.000000</td>\n",
+       "      <td>12.000000</td>\n",
+       "      <td>13.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>max</th>\n",
+       "      <td>85.000000</td>\n",
+       "      <td>6951.000000</td>\n",
+       "      <td>5.000000</td>\n",
+       "      <td>5.000000</td>\n",
+       "      <td>5.000000</td>\n",
+       "      <td>5.000000</td>\n",
+       "      <td>5.000000</td>\n",
+       "      <td>5.000000</td>\n",
+       "      <td>5.000000</td>\n",
+       "      <td>5.000000</td>\n",
+       "      <td>5.000000</td>\n",
+       "      <td>5.000000</td>\n",
+       "      <td>5.000000</td>\n",
+       "      <td>5.000000</td>\n",
+       "      <td>5.000000</td>\n",
+       "      <td>5.000000</td>\n",
+       "      <td>1592.000000</td>\n",
+       "      <td>1584.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                 Age  Flight Distance   Seat comfort  \\\n",
+       "count  129880.000000    129880.000000  129880.000000   \n",
+       "mean       39.427957      1981.409055       2.838597   \n",
+       "std        15.119360      1027.115606       1.392983   \n",
+       "min         7.000000        50.000000       0.000000   \n",
+       "25%        27.000000      1359.000000       2.000000   \n",
+       "50%        40.000000      1925.000000       3.000000   \n",
+       "75%        51.000000      2544.000000       4.000000   \n",
+       "max        85.000000      6951.000000       5.000000   \n",
+       "\n",
+       "       Departure/Arrival time convenient  Food and drink  Gate location  \\\n",
+       "count                      129880.000000   129880.000000  129880.000000   \n",
+       "mean                            2.990645        2.851994       2.990422   \n",
+       "std                             1.527224        1.443729       1.305970   \n",
+       "min                             0.000000        0.000000       0.000000   \n",
+       "25%                             2.000000        2.000000       2.000000   \n",
+       "50%                             3.000000        3.000000       3.000000   \n",
+       "75%                             4.000000        4.000000       4.000000   \n",
+       "max                             5.000000        5.000000       5.000000   \n",
+       "\n",
+       "       Inflight wifi service  Inflight entertainment  Online support  \\\n",
+       "count          129880.000000           129880.000000   129880.000000   \n",
+       "mean                3.249130                3.383477        3.519703   \n",
+       "std                 1.318818                1.346059        1.306511   \n",
+       "min                 0.000000                0.000000        0.000000   \n",
+       "25%                 2.000000                2.000000        3.000000   \n",
+       "50%                 3.000000                4.000000        4.000000   \n",
+       "75%                 4.000000                4.000000        5.000000   \n",
+       "max                 5.000000                5.000000        5.000000   \n",
+       "\n",
+       "       Ease of Online booking  On-board service  Leg room service  \\\n",
+       "count           129880.000000     129880.000000     129880.000000   \n",
+       "mean                 3.472105          3.465075          3.485902   \n",
+       "std                  1.305560          1.270836          1.292226   \n",
+       "min                  0.000000          0.000000          0.000000   \n",
+       "25%                  2.000000          3.000000          2.000000   \n",
+       "50%                  4.000000          4.000000          4.000000   \n",
+       "75%                  5.000000          4.000000          5.000000   \n",
+       "max                  5.000000          5.000000          5.000000   \n",
+       "\n",
+       "       Baggage handling  Checkin service    Cleanliness  Online boarding  \\\n",
+       "count     129880.000000    129880.000000  129880.000000    129880.000000   \n",
+       "mean           3.695673         3.340807       3.705759         3.352587   \n",
+       "std            1.156483         1.260582       1.151774         1.298715   \n",
+       "min            1.000000         0.000000       0.000000         0.000000   \n",
+       "25%            3.000000         3.000000       3.000000         2.000000   \n",
+       "50%            4.000000         3.000000       4.000000         4.000000   \n",
+       "75%            5.000000         4.000000       5.000000         4.000000   \n",
+       "max            5.000000         5.000000       5.000000         5.000000   \n",
+       "\n",
+       "       Departure Delay in Minutes  Arrival Delay in Minutes  \n",
+       "count               129880.000000             129487.000000  \n",
+       "mean                    14.713713                 15.091129  \n",
+       "std                     38.071126                 38.465650  \n",
+       "min                      0.000000                  0.000000  \n",
+       "25%                      0.000000                  0.000000  \n",
+       "50%                      0.000000                  0.000000  \n",
+       "75%                     12.000000                 13.000000  \n",
+       "max                   1592.000000               1584.000000  "
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "raw_data.describe()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "RangeIndex: 129880 entries, 0 to 129879\n",
+      "Data columns (total 23 columns):\n",
+      " #   Column                             Non-Null Count   Dtype  \n",
+      "---  ------                             --------------   -----  \n",
+      " 0   satisfaction                       129880 non-null  object \n",
+      " 1   Gender                             129880 non-null  object \n",
+      " 2   Customer Type                      129880 non-null  object \n",
+      " 3   Age                                129880 non-null  int64  \n",
+      " 4   Type of Travel                     129880 non-null  object \n",
+      " 5   Class                              129880 non-null  object \n",
+      " 6   Flight Distance                    129880 non-null  int64  \n",
+      " 7   Seat comfort                       129880 non-null  int64  \n",
+      " 8   Departure/Arrival time convenient  129880 non-null  int64  \n",
+      " 9   Food and drink                     129880 non-null  int64  \n",
+      " 10  Gate location                      129880 non-null  int64  \n",
+      " 11  Inflight wifi service              129880 non-null  int64  \n",
+      " 12  Inflight entertainment             129880 non-null  int64  \n",
+      " 13  Online support                     129880 non-null  int64  \n",
+      " 14  Ease of Online booking             129880 non-null  int64  \n",
+      " 15  On-board service                   129880 non-null  int64  \n",
+      " 16  Leg room service                   129880 non-null  int64  \n",
+      " 17  Baggage handling                   129880 non-null  int64  \n",
+      " 18  Checkin service                    129880 non-null  int64  \n",
+      " 19  Cleanliness                        129880 non-null  int64  \n",
+      " 20  Online boarding                    129880 non-null  int64  \n",
+      " 21  Departure Delay in Minutes         129880 non-null  int64  \n",
+      " 22  Arrival Delay in Minutes           129487 non-null  float64\n",
+      "dtypes: float64(1), int64(17), object(5)\n",
+      "memory usage: 22.8+ MB\n"
+     ]
+    }
+   ],
+   "source": [
+    "raw_data.info()"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {
+    "editable": true,
+    "include": true,
+    "paragraph": "DataUnderstanding",
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
+   "source": [
+    "Der Datensatz besteht aus 129.880 Zeilen und 23 Attributen:\n",
+    "\n",
+    "Voraussagendes Attribut: Zufriedenheit\n",
+    "\n",
+    "Numerische Attribute: Alter,Flugdistanz,Sitzkomfort,Abflug-/Ankunftszeit günstig,Essen und Trinken,Lage des Gates,Wifi-Service an Bord,Unterhaltung an Bord,Online-Support,Einfachheit der Online-Buchung,Bordservice,Service in der Kabine, Gepäckabfertigung,Checkin-Service,Sauberkeit,Online-Boarding,Abflugverspätung in Minuten.\n",
+    "\n",
+    "Kategoriale Attribute: Geschlecht, Kundentyp, Art der Reise, Klasse.\n",
+    "\n",
+    "Das Attribut Ankunft in Minuten ist unausgewogen. Es könnte daran liegen, dass es null Werte enthält. Das muss geprüft werden.\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>satisfaction</th>\n",
+       "      <th>Gender</th>\n",
+       "      <th>Customer Type</th>\n",
+       "      <th>Age</th>\n",
+       "      <th>Type of Travel</th>\n",
+       "      <th>Class</th>\n",
+       "      <th>Flight Distance</th>\n",
+       "      <th>Seat comfort</th>\n",
+       "      <th>Departure/Arrival time convenient</th>\n",
+       "      <th>Food and drink</th>\n",
+       "      <th>...</th>\n",
+       "      <th>Online support</th>\n",
+       "      <th>Ease of Online booking</th>\n",
+       "      <th>On-board service</th>\n",
+       "      <th>Leg room service</th>\n",
+       "      <th>Baggage handling</th>\n",
+       "      <th>Checkin service</th>\n",
+       "      <th>Cleanliness</th>\n",
+       "      <th>Online boarding</th>\n",
+       "      <th>Departure Delay in Minutes</th>\n",
+       "      <th>Arrival Delay in Minutes</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>0 rows × 23 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "Empty DataFrame\n",
+       "Columns: [satisfaction, Gender, Customer Type, Age, Type of Travel, Class, Flight Distance, Seat comfort, Departure/Arrival time convenient, Food and drink, Gate location, Inflight wifi service, Inflight entertainment, Online support, Ease of Online booking, On-board service, Leg room service, Baggage handling, Checkin service, Cleanliness, Online boarding, Departure Delay in Minutes, Arrival Delay in Minutes]\n",
+       "Index: []\n",
+       "\n",
+       "[0 rows x 23 columns]"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# test for duplicates\n",
+    "raw_data[raw_data.duplicated(keep=False)]"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Keine Duplikate im Datensatz"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 2.3 Datenbereinigung"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "satisfaction                           0\n",
+       "Gender                                 0\n",
+       "Customer Type                          0\n",
+       "Age                                    0\n",
+       "Type of Travel                         0\n",
+       "Class                                  0\n",
+       "Flight Distance                        0\n",
+       "Seat comfort                           0\n",
+       "Departure/Arrival time convenient      0\n",
+       "Food and drink                         0\n",
+       "Gate location                          0\n",
+       "Inflight wifi service                  0\n",
+       "Inflight entertainment                 0\n",
+       "Online support                         0\n",
+       "Ease of Online booking                 0\n",
+       "On-board service                       0\n",
+       "Leg room service                       0\n",
+       "Baggage handling                       0\n",
+       "Checkin service                        0\n",
+       "Cleanliness                            0\n",
+       "Online boarding                        0\n",
+       "Departure Delay in Minutes             0\n",
+       "Arrival Delay in Minutes             393\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "raw_data.isna().sum()"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "In the attribute Arrival Delay in Minutes are 393 null values included"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "count    129487.000000\n",
+       "mean         15.091129\n",
+       "std          38.465650\n",
+       "min           0.000000\n",
+       "25%           0.000000\n",
+       "50%           0.000000\n",
+       "75%          13.000000\n",
+       "max        1584.000000\n",
+       "Name: Arrival Delay in Minutes, dtype: float64"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "raw_data['Arrival Delay in Minutes'].describe()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Remove zero values\n",
+    "raw_data_c=raw_data.copy()\n",
+    "raw_data.dropna(inplace=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "satisfaction                         0\n",
+       "Gender                               0\n",
+       "Customer Type                        0\n",
+       "Age                                  0\n",
+       "Type of Travel                       0\n",
+       "Class                                0\n",
+       "Flight Distance                      0\n",
+       "Seat comfort                         0\n",
+       "Departure/Arrival time convenient    0\n",
+       "Food and drink                       0\n",
+       "Gate location                        0\n",
+       "Inflight wifi service                0\n",
+       "Inflight entertainment               0\n",
+       "Online support                       0\n",
+       "Ease of Online booking               0\n",
+       "On-board service                     0\n",
+       "Leg room service                     0\n",
+       "Baggage handling                     0\n",
+       "Checkin service                      0\n",
+       "Cleanliness                          0\n",
+       "Online boarding                      0\n",
+       "Departure Delay in Minutes           0\n",
+       "Arrival Delay in Minutes             0\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "raw_data.isna().sum()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# remove zero values\n",
+    "# axis = 0 lines / axis = 1 coloums\n",
+    "data_no_mv = raw_data.dropna(axis=0)"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Alle Nullwerte wurden entfernt"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 2.4. Deskriptive Analyse\n",
+    "\n",
+    "In diesem Teil des Notizbuchs wird die explorative Datenanalyse verwendet, um das Verständnis der Daten zu ermitteln.\n",
+    "\n",
+    "Nach Abzug der Nullwerte besteht der Datensatz aus 129187 Zeilen, einer Zeile, die jeden Kunden beschreibt, und 21 Spalten, die die Eigenschaften der Kunden definieren. Anhand dieser Daten wird versucht zu klassifizieren, ob ein Kunde zufrieden ist oder nicht. Zu diesem Zweck enthalten die historischen Daten die Zielvariable \"Zufriedenheit\", die Auskunft darüber gibt, ob ein Kunde zufrieden ist.\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([[<AxesSubplot:title={'center':'Age'}>,\n",
+       "        <AxesSubplot:title={'center':'Flight Distance'}>,\n",
+       "        <AxesSubplot:title={'center':'Seat comfort'}>,\n",
+       "        <AxesSubplot:title={'center':'Departure/Arrival time convenient'}>],\n",
+       "       [<AxesSubplot:title={'center':'Food and drink'}>,\n",
+       "        <AxesSubplot:title={'center':'Gate location'}>,\n",
+       "        <AxesSubplot:title={'center':'Inflight wifi service'}>,\n",
+       "        <AxesSubplot:title={'center':'Inflight entertainment'}>],\n",
+       "       [<AxesSubplot:title={'center':'Online support'}>,\n",
+       "        <AxesSubplot:title={'center':'Ease of Online booking'}>,\n",
+       "        <AxesSubplot:title={'center':'On-board service'}>,\n",
+       "        <AxesSubplot:title={'center':'Leg room service'}>],\n",
+       "       [<AxesSubplot:title={'center':'Baggage handling'}>,\n",
+       "        <AxesSubplot:title={'center':'Checkin service'}>,\n",
+       "        <AxesSubplot:title={'center':'Cleanliness'}>,\n",
+       "        <AxesSubplot:title={'center':'Online boarding'}>],\n",
+       "       [<AxesSubplot:title={'center':'Departure Delay in Minutes'}>,\n",
+       "        <AxesSubplot:title={'center':'Arrival Delay in Minutes'}>,\n",
+       "        <AxesSubplot:>, <AxesSubplot:>]], dtype=object)"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1440x1440 with 20 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "raw_data.hist(figsize=(20,20), bins= 60)"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 2.4.1 Numerische Attribute"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "RangeIndex: 129880 entries, 0 to 129879\n",
+      "Data columns (total 23 columns):\n",
+      " #   Column                             Non-Null Count   Dtype  \n",
+      "---  ------                             --------------   -----  \n",
+      " 0   satisfaction                       129880 non-null  object \n",
+      " 1   Gender                             129880 non-null  object \n",
+      " 2   Customer Type                      129880 non-null  object \n",
+      " 3   Age                                129880 non-null  int64  \n",
+      " 4   Type of Travel                     129880 non-null  object \n",
+      " 5   Class                              129880 non-null  object \n",
+      " 6   Flight Distance                    129880 non-null  int64  \n",
+      " 7   Seat comfort                       129880 non-null  int64  \n",
+      " 8   Departure/Arrival time convenient  129880 non-null  int64  \n",
+      " 9   Food and drink                     129880 non-null  int64  \n",
+      " 10  Gate location                      129880 non-null  int64  \n",
+      " 11  Inflight wifi service              129880 non-null  int64  \n",
+      " 12  Inflight entertainment             129880 non-null  int64  \n",
+      " 13  Online support                     129880 non-null  int64  \n",
+      " 14  Ease of Online booking             129880 non-null  int64  \n",
+      " 15  On-board service                   129880 non-null  int64  \n",
+      " 16  Leg room service                   129880 non-null  int64  \n",
+      " 17  Baggage handling                   129880 non-null  int64  \n",
+      " 18  Checkin service                    129880 non-null  int64  \n",
+      " 19  Cleanliness                        129880 non-null  int64  \n",
+      " 20  Online boarding                    129880 non-null  int64  \n",
+      " 21  Departure Delay in Minutes         129880 non-null  int64  \n",
+      " 22  Arrival Delay in Minutes           129487 non-null  float64\n",
+      "dtypes: float64(1), int64(17), object(5)\n",
+      "memory usage: 22.8+ MB\n"
+     ]
+    }
+   ],
+   "source": [
+    "raw_data_c.info()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Import of numeric attributes\n",
+    "numeric_data = raw_data.select_dtypes(include=[np.number])"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Alter"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<AxesSubplot:xlabel='Age', ylabel='Density'>"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.distplot(numeric_data[\"Age\"])"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Sitzkomfort"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<AxesSubplot:xlabel='Seat comfort', ylabel='Density'>"
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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aghDV+JXVddA74GLJjJEPmgC5qfGU1beHfantYh/GPMCdCAAOT9LaUJNNIBNBHnB60P0qz2MXWi8iB0TkzyKyZKgdici9IrJbRHY3NDQEIlYDnGnt5qtP7mfLsYZJOXWvpKaVJbm+HTQjxF3fP5yV+HjQBJiRFkffgFJWH97lJoqrW8lPHz1ZexOB9//ABFYgE8FQnZoXHl32ArNUdTnwX8BzQ+1IVX+tqmtUdU12drZ/ozSA++Ig1/7kbZ4/UMMrJWd4ZPvJSVWTp727j5NNXT4dNGOiIpiWEsfBqvA+yJTUtJEQE8nszMRRt81N9R44w/sMuqSmjaU+tHCSYqNIjY+meBJ0d00FgUwEVUDBoPv5wPuKjatqm6p2eH5+GYgWkQ8uCTUBpar88wuHSY6LZvPXruCmZbmU1XewbxIMPnqV1rrPhJfkjZ4IAGakxnO4pi2si5uV1LSyKDdl2Nk1g2UmxZAQExnWXSnt3X1UNHay1OfvKI7iMP48U0kgE8EuoEhEZotIDPAp4PnBG4jIdPFMhxCRtZ54mgIYkxnC5tJ6Dla18pWriijMSmT9nEzy0+N561j9pFmk5O1C8OVsEyA3LY6mzt6wXbTkcimHa9p8auGAu7rqotyUsO5K8SapJaMMFHvlprnLgUy2gnqTUcASgar2A18GXgVKgT+qaomIfF5EPu/Z7DagWEQOAD8DPqXhfIo2BakqP91cxsyMBD7mqQQpInx4YQ5nu/omzdz04uo2spJiyUkZfr79YN6ulHA9gz7V3EVn74DPiQDcYwmlte24wjR5e8/ufU3WeWnxqEJpbXh+R1NJQNcRqOrLqjpfVeeq6r96HrtfVe/3/PxzVV2iqstV9RJV3R7IeMwHHa1r51B1K/dsnE105F9+HRZMS2Z6Shy7Tk6OC7mU1LSO6aDpXaAVrmfQfxko9u2g6d42hY6efirDtHxGSXUr01JiyU6O9Wl774Cxd8qpCRxbWexwLx+sJULghqW573tcRFiWn8rps+fC/tKBPf0DlNd3jCkRxEVHMiszgcNherZZXN1GdKQMWzNpKIs9M6bCdcC4uKbV59YAQEpcFJmJMTZgHASWCBxMVXnpUC1rZ2cMeZbm/aMN1wOL17EzHfS7lKU+9j17Lc5NCdvPVlLTSlFOMjFRvv+Jzp+eRFSEhGUr51yvJ1mP4TsSEZbkpU66AeOdFc38259Luem/tvLsvqpQh+MTSwQOdqyug+MNnXzkotwhn89KjmV6Stz5RUDhqniMA8VeS2akcKqpi/bu8Fq9qjq2gWKv2KhI5uUkhWUrp/RMGy6FpWP8TEtnpFBW105P/+QoG777ZDPP7a8mLT6a/gHl608dZM+p8B9ns0TgYK8Un0EErls6fdhtluSlUNnURX1b+JZjKK5uJTkuioKM+DG9ztv/7p16Gi7q2npo6uwdcyIA92cKx1ZOiad7Z6yttqV5qfS7lGNnwr+yatu5Pp4/UMO8nCQ+t3EOT/79emakxfPlJ/bSFmYnGxeyROBg28obuCgvlZzk4WfaLJqeggJbyhqDF9gYlXjOnkcqzDYUbw2fw2HW4jk/UDzGgya4P1NDew/17eGVuIur28hIjBmxiupQvK28cG+VAmwrb8Slyq0r8oiKjCA1Ppr//NQKalu7eXLn6dF3EEKWCByqo6effZUtQ17ScbDpqXEkxUaxtSw8S3v0D7gorfVtteqFcpJjyUqKCbsz6JKaNkRgUe54WgQp5/cRToo9s7rGmqwLMuJJjosK+wHjjp5+dlQ0sTw/jYxB5TNWzUxn7ewMHt5+kv6B8F2p/8GLoJoxeWJH5ZCP37FuZpAjGZudFU30u5TLRkkEESLMy0liW1kjLpf6tMo1mI43dNLT7xpzlwO4ByMX5aaEXZ96cXUrszMTSYod+5/nX1o5bXxoQY6/QxuXnv4BjtW1c8/GOWN+rYiwdEZq2CeCXSeb6RtQrpj/wRI4n90wm88/tofXS+u4funQ43GhZi0Ch9pW1kRsVASrZ41cshmgKCeJps7esDtgAucPEOPpT3e/LpVjdeFVtbOkpm3U0tPDSYmLZmZGQlgtlCur66BvQMfVagNYmpdC6Zl2+sL0jFpV2V/ZQmFm4pALGq9ZPI389Hgee2/ok8ZwYInAod4pb+TiwgzioiNH3Xau55KCW8NwnKCkpo246AjmZA992cPRLJ6RQt+AUl4fHoORLV29VLecG9NCsgstmRFepSaKzw8Ujy+5Lc1LpbffFTbf0YVKatpo6OhhecHQ31lkhPCxlXlsP95IY0d4ljSxROBA9e3dHK1rH3V8wCslLpqF05PDcpyguKaVxbkpw16jeDR/6VMPjwPn+Xo842wRgHt9xMkwmhZ7yDOra2ZGwrhe7+32C9cL7zx/oIZIkREvtvORZbm41D1TLxxZInCg7eXuun6jjQ8Mdvn8bHafPBtWBcD+Upht/GfPhZmJxEdHhk23V4kfEoG3Amu4TIstHuesLq/ZmYkkxkSen4IaTlwu5fn9NcyflkRCzPBjOgumJTM3O5EXD9YMu00oWSJwoG3ljaQlRI+pH3pjURa9Ay52VIRP7aHK5i46evrH3eUA7mb7otxkSsKkns2h6lZyU+PITPKtHs9QlpxfER76A2ffBGZ1eUVECItnpITlCuOD1a2caesedbKCiHDTshnsqGgOyzU5lggcRlV5p7yRS+dmjqk75eLCDGKjIth6LHzGCYrHUZhtKMvy0yiuaQ2LktsHq1pYlj+xz+OdFhsOA8bHGzroHeesrsGW5qVyuKYtLL6jwV4rOUNkhLBg+ug1oW68KBdVeL20PgiRjY0lAoepaOyktrXb5/EBr7joSNbOzgircYLxFGYbyvKCVLo8tXBCqbXLfZW1ZflpE9qPnL82QegTgbdy6ERabeBeWHaub4ATDeE1YLzpcB1rCzNG7Bbymj8tiZkZCbxeWheEyMbGEoHDvFPuPqMfy/iA1+VF2ZTVd1Dbes7fYY1LSU0r86eNrTDbUJZ7DrwHTrdMPKgJOFjtfv/lE0wE4G4lhcPF7IurW4mPjmR21vhmdXl5W0n7Q/wdDXaysZOy+g6uWTzNp+1FhKsXTWNbeSOdPeEz1gaWCBxnW3kjeWnx45rBsXG+O3mEwzRSVfX5+rejKcxMJDkuiv0hvpi99xrKF02wawjcg819A8qxutAOGO+tPMvygtRxz+rympudRHJcFPvCKBFsOuw+s/c1EQBcvTiH3n5XWPwNDWaJwEEGXMr2401cNi9rXDM4FkxLJjs5Nix+iatbztHc2TvhLgdwD0Yuz08LeYvgwOkWZmclkhofPeF9ec+gD4QwuZ3rHeBwTRurZo6+aHE0ERHCioI09oZRJc/XDp9h4fRkCsZwUnVxYQYpcVFh1z1kicBBDlW30t7dz4aisXcLgbtpu7Eoi21lDSG/HKK3tO8qH1ZG+2J5QSpHz7TT3Re6cscHq1onPFDsNTMjgaykmJCWQD5Y1UK/S/2SCABWzkznWF07HWHQrdLY0cPuU2e5bsnwlXuHEh0ZwYcW5vDGkfC6HrglAgfxjg9cOjdz3Pu4vCibs119IR+I3HWymaTYKBZOn3iLANwzh/pdGrIpl2dauznT1j3hgWIvEWHVzPSQJoK9lS0ArJyZ5pf9rZqZhktDP5YD8PrhOlQZcyIAuHrRNJo7e8PqeuCWCBxkW1kji3JTyJrAHHXvbKMtIZ49tPvkWVbOTJtw37OX96x1Z0Vo/jh3VLgX+V1c6J+zZ4A1hemcauqioT00ZQ32Vp5ldlbihNZEDLaywP1/Ew4H0NcO15GfHs+i3LHPWLtiQTbRkcKmMOoeskTgEOd6B9hz6iyXzRt/awAgOzmWxbkpbDkWukTQeq6Po3XtXFyY4bd9ZifHMi8n6fwBOdh2VLhbOIvHUXp6OKtnuf9/QtEqUFX2VZ71W2sAIDUhmnk5SedbGqHS0dPPtvJGrl08fVxjbSlx0VwyJ5PXD1siMEH2TnkjvQMuLh+iTO5YbZyfxd7KsyHrq91beRZVWOOn8QGvS+ZksKuiOSR143dWNLOmMJ2oSP/9SS7NSyEmKoI9p4K/GryisZPGjl6fqtuOxcWF6SH7jrzePtpAb7+L65b4PlvoQlcvmsbxhs6wWRdhicAhNh+pIyk2inWzJ9YiALiiKJu+AWXHidCcPe8+2UxkhLDCj2ebAJfMyaSzdyDopQwaO3oor+/wy3czWGxUJMvyUtl1MvgtAu/MsvGsVxnJhnlZtPf0c6AqdOUzXjt8hozEGNZMoEV6tWfK6Z/DpAidJQIHcLmUzaX1XD4/a8KLrwBWF6YTFx0Rsmmk28oaWZaf6tNqzrHwHojfC3KC2+mp37Rujv+6urwunZvJwaoWWrp6/b7vkWwta2RmRgKzMhP9ut8Nc7MQcf8OhEJvv4s3jtRz9aKcCY1P5aXFs3JmGi8drPVjdONnicABimtaqW/v4aqF42/KDhYbFcklczJDMmDc0N7DgapWPhyAq29lJ8cyNzuRd48HNxG8d6KJ+OjIEcsYj9cVC3JwaXAXAfYNuHj3eCMbxzlNeSTpiTFclJfKtvLQjFG9d6KJ9u5+rl089tlCF/rIRbkcrm0Li+4hSwQO8HppPRECH1rov4PnxqJsTjR0UnW2y2/79IV3kNqfn2WwjUXZvHeiKWjltlXdrbVL52YS7cfxAa8VBWmkJUTz1tHgHTj3VbbQ2TsQkEQA7u6mfZUtIRmjevlQLQkxkVzmh89240W55/cZapYIpjhV5YUDNVxcmPG+i2pP1JUL3IPOr5YEd+bDm0frz89cCoRrF0+jp9/F20E6cB6ubaO65dy45qP7IjJC2FiUzdvHgrcIcGtZAxEC6+cGKBEUZdHvUraXB7d76FzvAC8erOX6pdN9urLfaGakxbNmVjp/2l+DamgXl1kimOL2nW6horGTT6zK9+t+52YnsSw/laf3VPl1vyPpH3Cx5VgDV87PJsJP6wcutHZ2BmkJ0bxaEpxBvNdK6ogQuGpR4C40f8X8bBo7eoJy8R1V5aVDtawpzPBLqYyhrJnl/o5eCvKZ9CsltXT09PNXqwv8ts9PrM6nrL4j5FNiLRGMk8ulVJ3toq6tm57+0JUlGM2ze6uJjYrghov8f8b58ZV5HK5tozRIV/fafryJtu7+gB40oyIjuGrhNDYfqQ9K5c7XDtexela63xZdDeXKBdlERggvBOHqWCU1bZxo6OSWFTMC9h4xURHcsDSXTYfrgnrFvKd2V1GQEc+62f4b1P/o8hkkxkTyh52hvbC9JYIx6urt5yebjrHx39/ksh++yU83l/EvL5by0LYKTjZ2hjq89+ntd/HCwRquXTKd5Dj/n53dvCKPqAjh2X3Vft/3UP64+zRpCdEBGx/wum7JNNq7+9l+PLBdDxWNnZTWto2peuV4ZCXF8qEF2Ty7tzrg8+//tL+a6EjhI57+70C5efkMunoHgnaRlxMNHWw/3sRtqwr82hpNio3i5hV5vHCwhrYQXmPaEsEYbD/eyDU/3sJPN5cxLyeJH9y6lE+uKWDDvCzq27v59dYTPLX7dMhrwHv9aX81LV19/NVq/3YLeWUkxnDVohye2n064GdmLV29vFZSx60r8oiNmnj/7Egun59NRmIMj+8I7Fna4++dIipCuGVFXkDfB+C21QXUt/cEdPbQgEt5/kANV8zPIS3Bf+NRQ1k7O4PpKXE8vz84JyEPvH2C2KgI7lg30+/7vmPtTLr7XCFtFVgi8NETOyq567c7iYuO4H8+v55HPruWOy+ZxfKCNK5fOp2vXbOAKxdks/90C798q5xTTaFtHQy4lF+9fZzFuSkBm70BcO/lczjb1ccTAT5o/ml/Db0DLv56jf/6Z4cTFx3JHWtn8nppHaebAzMrqqu3nz/uPs31S6czLSUuIO8x2IcX5pCRGMNTe04H7D02Ha6jrq2Hj60MfGKLjBBuXZnHG0fqA/63Vtt6jmf2VfHXawrITvZ/F95F+alsLMrigbdPBLWrazBLBKMYcCnff+Ew3372EJcVZfHclzYMuaIwJiqCaxdP5+4Ns2nv7udjv9wekqX9Xq+VnOFEQydfuHLuuOqh+Gr1rAwumZPBb7aeCNhYSW+/i4feqWBZfiqLZwRmttCFPn3JLCJEePTdkwHZ/5/219DW3c/fXloYkP1fKCYqgttW5/NK8ZmAXJJTVfmvN8oozEyYUOmFsfjshkKiIiP41VvHA/o+9791HJe6T3oC5b6r59PU2cuj754K2HuMxBLBCNq7+7jnkV089E4Fn7m0kAfvWjNqX/u8nCS+cMVcUuKiuP03O3gxCAN0F+ruG+BHrx2lMDPh/FzlQPryh4qoa+vhd++cDMj+f7+zklNNXXz1mvkB2f9QpqfGceNFuTyxo9Lvl+Y81zvAz98oZ8mMFL/XSxrJvZfPIT46kh9vOur3fb95tJ6Smja++KF5fq2XNJKclDg+uaaAp/dWUdMSmMunHqpq5b/fO8XtawvGdAGasVo9K53L52fzyzfLqWvrDtj7DMcSwTBON3dx26/eZUtZIz+4dSnfu3mJz7/gWcmxPPPFDSzLS+XLT+zjl2+VB3We8M82l3GioZPv37LUb2WaR7JhXibXLZnGjzcd8/vZZlt3Hz/bXMb6OZlc6YeCeWPx9WsX0O9pEfrTz98so7rlHN/96JKAttYulJUUyz0b5/DyoTPs9WMp567efv71pVLy0+OD0i002N9fMQdB+O7zJX7/G+sbcPGtZw+SmRTL169b6Nd9D+V7H11M74CLbz59MOjrCiwRDOG9E03c+ot3qG09xyN3u8cCxiojMYbH7lnHzctn8O+vHOUfnzoQlAtWbytr5IEtJ/ir1fl+qTTqCxHhB7cuJSEmkq8+ud9vKz5dLuWrf9hP67k+vnXjwqAeNAFmZibw/1xVxJ+Lz/DCAf+07PZVnuXXW07w8VV5rPXjNERf3bNxNjNS4/iHJ/bR3Omf+kM/eLGUE42d/PATywKyOnok+ekJfOP6BWw6XMeTu/w3/qGqfOuZQxRXt/H9m5cEbE3EYHOyk/jm9Qt582gD9799IuDvN5glgkHau/v4lxcPc/tv3iMlPppnv7RhQkvJ46Ij+emnVnDf1UU8u6+aj/xsK1sDWJ9nx4kmPvfobopykvinmxYH7H2GkpMcx49uW87h2jY++/CuCSe9AZfyg5cOs/lIPd/56GK/XblrrD63cQ6rZ6XztT/un/A1GI7VtXP3w7vITY3nf924yE8Rjk1yXDT337maho4evvDYHlrPjX/KoqryX5vL+P3OSv7+8rnnL1oUbJ/dMJtL52bynedLeMUP1Tz7B1x8/8XD/M+eKr5yVRE3BKF71euu9YXctCyXH75yhN9sORG0lkFAE4GIXC8iR0WkXES+OcTzIiI/8zx/UERWBTKe4dS3dfPzN8q4/N/f5MFtFdyxdiYv/sNlzM1OmvC+RYT7rp7PHz53CS6FO3+7kzt/u4M3j9b7bU53e3cf//HqUe54cAe5aXH899+tC8oZzIWuWTyNn3xyBbtPNnPDT7ey5VjDuH6RTzV18tmHd/G7d07ymUsLx9Ui85eYqAge+szFzMtJ5rMP7+Inm46N+brGAy7liR2VfPyX24mJjOCxv1sX0AVko1mWn8aPblvGnlNnufUX75yvfjoWZ1q7ue/J/fz/m47xsZV5/OO1wRu/uVBEhPCLO1axODeFLz6+h/949ei4T0QOVrVw+2/eO/+7d9/VRX6OdmQREcJPPrmC65dM519fLuWeR3YHZX2Sf+v4DiIikcAvgGuAKmCXiDyvqoM7XG8Aijy3dcCvPP/6ncultJzro7Gjh8b2Hs60dXPkTDs7Kpo5WNWCqnv++P977fyAnH2um5PJpq9dzsPvnOTBbRXc/btdpCdEs2FeFsvyU5mZkci0lFhyUuJIjIkkKjKC6EghOiKCiAhhwKX0Dbjo6XNR395NfXsPlc1d7Kpo5tWSM3T2DvDxVXl896YlpCYEPwl43bx8BtOSY/nG0we566GdFOUkcdWiaSzLTyUnOZbs5FjS4mPA08sz4FJaz/VR03KOo2fa2VbeyFtH64mKjOBfP7aUO9bODHqX0IVS46P5/efW8b3nS/jp5jIe3n6SGy/KZc2sdAoyEshIjCYtIYaoCKF3wEVvv4uznX2cau5kX2ULLx2s5UxbN5fOzeSHn1gW0EFHX92yIo/c1Hi+/MRe/vqBd1lekMaHF+RwUX4KeWkJJMREEh8TSXRkBJ09/XT09NPc2UtZnfc7akAVvnJVEV+5qihgJT98lZ4YwxOfW8e3nznEz98s57Edp7hm0TTWzs5gbk4SafHRJMdFkxgbyYBL6R9QegdcNHf2crq5i8O1bbx9rIF9lS2kxEXxn59cwa1BHu/wio6M4Bd/s4rfvVPBj149ypX/8RYb5mWyYV4WH16Y47frdA8mgWp6iMh64Huqep3n/rcAVPXfBm3zAPCWqv7ec/8ocKWqDltEZM2aNbp79+4xx/Pcvmrue3L/+x6LiYxgSV4Klxdlc+vKPGZnjb12+nDz50daeNLb72JzaR2vHa5jx4kmalpHniUgAsN9TRmJMXxoQQ53rp/FioI0X8Me0VCfaawLabr7Bnh+fw1P7TnN/tMt9A349ns2KzOBG5bm8tkNheT4aX79eL6j4bx3oonHd1TyRmkdnb2jtwxioiJYPyeT29cWcO3i6X47YPrjOwL3DKYnd1Xy9N5qimtah/09G2x6ShzXLZnGPRvn+C2p+fM72ld5lke2n2TzkXrau31rGYjAsrxUbrwolzvWzRzzSnx/fR8Xqm/r5vEdlbx8qJay+g6+eOVcvnH9+AauRWSPqq4Z8rkAJoLbgOtV9R7P/TuBdar65UHbvAj8H1Xd5rm/Gfj/VHX3Bfu6F7jXc3cB4P/5b+OXBYTmKhmBM9U+01T7PDD1PtNU+zwQfp9plqoOOYMkYF1DnG/8v8+FWceXbVDVXwO/9kdQ/iYiu4fLspPVVPtMU+3zwNT7TFPt88Dk+kyBHCyuAgbXA8gHLpyD58s2xhhjAiiQiWAXUCQis0UkBvgU8PwF2zwP3OWZPXQJ0DrS+IAxxhj/C1jXkKr2i8iXgVeBSOAhVS0Rkc97nr8feBm4ESgHuoC7AxVPAIVll9UETbXPNNU+D0y9zzTVPg9Mos8UsMFiY4wxk4OtLDbGGIezRGCMMQ5niWACRiuhMdmIyEMiUi8ixaGOxR9EpEBE3hSRUhEpEZGvhDqmiRCROBHZKSIHPJ/nn0Mdk7+ISKSI7POsLZr0ROSkiBwSkf0iMvYVsEFmYwTj5CmhcYxBJTSA2y8ooTGpiMjlQAfwqKouDXU8EyUiuUCuqu4VkWRgD3DrZP2OxF1rI1FVO0QkGtgGfEVV3wtxaBMmIl8D1gApqnpTqOOZKBE5CaxR1XBaUDYsaxGM31qgXFVPqGov8AfglhDHNCGqugUI3WXV/ExVa1V1r+fndqAUCE0BGT9QN+8FH6I9t0l/Jici+cBHgAdDHYtTWSIYvzxgcAH0KibxQWaqE5FCYCWwI8ShTIinC2U/UA9sUtVJ/Xk8/hP4BuCfcrzhQYHXRGSPp0ROWLNEMH4+lccwoSciScDTwH2q2hbqeCZCVQdUdQXuVfhrRWRSd+GJyE1AvaruCXUsfrZBVVfhrrD8JU+3a9iyRDB+Vh5jEvD0pT8NPK6qz4Q6Hn9R1RbgLeD60EYyYRuAmz196n8APiwij4U2pIlT1RrPv/XAs7i7ksOWJYLx86WEhgkhz+Dqb4FSVf1xqOOZKBHJFpE0z8/xwNXAkZAGNUGq+i1VzVfVQtx/Q2+o6qdDHNaEiEiiZ3ICIpIIXAuE9Uw8SwTjpKr9gLeERinwR1UtCW1UEyMivwfeBRaISJWI/F2oY5qgDcCduM8y93tuN4Y6qAnIBd4UkYO4T0Q2qeqUmG45xUwDtonIAWAn8JKqvhLimEZk00eNMcbhrEVgjDEOZ4nAGGMczhKBMcY4nCUCY4xxOEsExhjjcJYIzJQiIv/LU5nzoGe66Lpx7udWEVns7/hGeL9YEXndE/Mnx/C6z4jIjEDGZqa+gF2q0phgE5H1wE3AKlXtEZEsIGacu7sVeBEIVqXSlUC0p3yETzwVcD+De7GSrWo342YtAjOV5AKNqtoDoKqN3qX+IrJaRN72FAF71VOiGhH5nIjs8tT4f1pEEkTkUuBm4EeeM/S5g99ERKaJyLOe1xzwbI+IfE1Eij23+zyPFYrIERF50PP44yJytYi8IyJlIrJWRHKAx4AV3vcTkas89fkPea4TEevZ30kR+Y6IbANux126+XHP6+KD8H9spiJVtZvdpsQNSAL2475OxC+BKzyPRwPbgWzP/U8CD3l+zhz0+n8B/sHz88PAbcO8z5O4C9gBRAKpwGrgEJDoiaME91l+IdAPXIT7xGsP8BDuooW3AM959nMl8KLn5zjclW3ne+4/Ouj9TgLfGBTLW7jr3of8/99uk/dmLQIzZai7Vv9q4F6gAXhSRD4DLACWAps8JZz/CXeRQIClIrJVRA4BfwMs8eGtPgz8yvOeA6raClwGPKuqnZ44ngE2eravUNVDqurCnSA2q6riThyFQ+x/gec1xzz3HwEGV6980ocYjfGZjRGYKUVVB3CfJb/lObj/Le6z8BJVXT/ESx7GfdWyA56kceU433qosuRePYN+dg2672Lov8GR9gXQOYa4jBmVtQjMlCEiC0SkaNBDK4BTwFEg2zOYjIhEi4j3zD8ZqPWUq/6bQa9t9zw3lM3AFzz7ihSRFGALcKtnjCER+BiwdZwf5QhQKCLzPPfvBN4eZtuR4jTGJ5YIzFSSBDwiIoc9FToXA99T96VEbwN+6KkIuR+41POa/437qmWbeH9J5z8AX/cM2L5vsBj4CvAhT4tjD7BE3ZfEfBh3tckdwIOqum88H0JVu4G7gac87+EC7h9m84eB+22w2EyEVR81xhiHsxaBMcY4nCUCY4xxOEsExhjjcJYIjDHG4SwRGGOMw1kiMMYYh7NEYIwxDvd/AehN4vg//q3MAAAAAElFTkSuQmCC",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.distplot(numeric_data[\"Seat comfort\"])"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Essen und Trinken"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<AxesSubplot:xlabel='Food and drink', ylabel='Density'>"
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.distplot(numeric_data[\"Food and drink\"])"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Wifi-Service an Bord"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<AxesSubplot:xlabel='Inflight wifi service', ylabel='Density'>"
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.distplot(numeric_data[\"Inflight wifi service\"])"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Unterhaltung während des Fluges"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<AxesSubplot:xlabel='Inflight entertainment', ylabel='Density'>"
+      ]
+     },
+     "execution_count": 19,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.distplot(numeric_data[\"Inflight entertainment\"])"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Online support"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<AxesSubplot:xlabel='Online support', ylabel='Density'>"
+      ]
+     },
+     "execution_count": 20,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.distplot(numeric_data[\"Online support\"])"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Einfachheit der Online-Buchung"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<AxesSubplot:xlabel='Ease of Online booking', ylabel='Density'>"
+      ]
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.distplot(numeric_data[\"Ease of Online booking\"])"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Service an Bord"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<AxesSubplot:xlabel='On-board service', ylabel='Density'>"
+      ]
+     },
+     "execution_count": 22,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
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",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.distplot(numeric_data[\"On-board service\"])"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Beinraum-Service"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<AxesSubplot:xlabel='Leg room service', ylabel='Density'>"
+      ]
+     },
+     "execution_count": 23,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.distplot(numeric_data[\"Leg room service\"])"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Gepäckabfertigung"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<AxesSubplot:xlabel='Baggage handling', ylabel='Density'>"
+      ]
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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vbAZlVXVsyiv1rrgOUMCLnOGTvSUszsnnrnkjP51BECCzby9mjezH6n3HyDteGcYKu9bmvFKiDCZ28ARrk6lDUykoq+boieouqqz7bcorpayqjnlj27c2xcWj0zGD5buKPaqsYxTwImf4zyU7GJySwN0LRp913+UTB9ArLpr3ciN3/pH22pRfxpj+fegV17lTctM+XcKvtPNFhcnyXcWYwZzR7TsfkZYUx+QhKRE3XFIBL3KK9QePs2b/ce6cN5LEuLNnCEyIjWb2qHR2HC1nZw9am7Mlzjk255V9OgqmMyYOTiYuOqpHr9G6bGcRk4ekkJbU/hPp88ZksP5gKSeq6zyorGMU8CKn+P2yvSQnxHBD9tAWHzNrRBqx0cbvl+3txsq8sb+kkpKKWi4Yntrp14qPiWbSkOQe24I/UV1HzqFS5o3p2NKhc8ek09DoWLmnpIsr6zgFvEjQoWOVvLX1CLfOGk5SfMvdFb3iY7hgWF9e2ZDf45eqa7r69MKstC55vWlD+7Ipv5S6hsYueb3u9PHuEhoaHXPHdGy46LRhfUmKi2ZZBI2HV8CLBP15zSEMuG3W8DYfO3tkP+oaHC+uy/O+MA+t3X+clMRYRmeEdlFPW6YNS6W6rpEdR3pe99WyXUX0jo/hguF9O/T8uJgoZo9Kj6gTrQp4EaCuoZHn1x5i/rj+DElNbPPx/ZMTmDEijWdXH6QxwsY+t8faA8eYPrwvUVGhDwlsTdOJ1nUHelY/vHOOZTuLmD2qX0jTE7Rk3th0Dh6rZH9xRRdW13EKeBHg/e2FFJbXtGu5ultnDuPgsUo+2hM5Lbb2OFZRy56iCrKzOtZibc6Q1ESGpCbyyd7I6YcOxb7iCvKOVzGvg90zTeYG++8jZTSNAl6EwMyhA5LjWTAu9BNsV04aSN9esTy7uvlZRyNdUys7e3jX9L9D4KrO2aP6sXJvSY/6y+b97YFhr52dZiGrXy+GpiWydIcCXiQiHDpWybJdRdyYPZSYdvx5nhAbzRcuyGTJ1qMUlve8i3s+2VtCXExUp69gPdPskf0oraxjew/qh39n21HGD+zD0LRenXodM+Oy8QNYsbs4IlZ5UsBLs8qr6/hwRyEvrsvjzS0FHI7AqVC7ynNrDmLAjR2YKOrmmcOob3S8sLbnnWxdtrOImSPSSIg9e7x/Z8we1Q+Aj3tI11VZZR1rDxznsgldM0na5RMHUFPfGBEnWxXwcpaX1uXxi3d38va2o+wuLOej3cU88sFufvTa1h45/K01gZOreSwI8eTqmUZl9GbWyDSeW9OzTrbmB6fEvaSdl+SHYnBqIiPSkyJqPHhrlu4spKHRcdmEAV3yejNGpJGcEMO72452yet1hgJeTvPkR/v4zgsbGZicyH2XjeH+z0zgwYUTuGhUP/77o/3c8dRaauv9E/LvbjtKUXlNp1bpumXmcA4dq2LF7vC32ELVNFbbi4CHQCt+1b5jPeJ35Z1tR0nvHcfUDqxH25zY6CgWjO/P+9sLwz67pAJePvWXDfn88LVtXDlpAF+dk0X/4GryveJiuOb8wfz4c5NZtrOI+xdvwrme01ptzaLVBxmcktCpk2tXThpAWlJci0s8RqJlO4sYlJIQ8qIW7XXZ+P6crKmP+G6aipp63sst5MpJA7tsqCgEumlKKmpZvS+8yxgq4AWAvUUneWDxZmZkpfHwzRcQE3X2r8YtM4fxT5ePZfH6fB71wWX6B0oqPl2kIboT/7njY6L54vRM3sk9SmEPmEmxtr6RFbuLuWRs+6bEbY+LR6fTOz6Gt7dG9tTKS7Ydoaqugb+fNqRLX/ey8QNIiovm5ZzwnptRwAvVdQ3csyiH+JgofnXzVOJiWv61+Oalo7l68iAeensHa3r4IsuLVh8kOsq48cKW550J1U0zhtHQ6Hh+7aEuqMxbS3cUUl5dzxWTuqbPuTkJsdEsGN+fJVuPhr2bojUv5xxmSGoi04d13bUAAIlx0SycPIg3Nh8J6wIxCnjhJ2/ksq3gBD/74hQGpbR+otHM+MkXJpPZN5FvLsrpsYssn6iuY9Gqg1wxcQADgl1RnTEiPYm5Y9J58uMDVEf42q2vbMinX1LcpxfleOWqSQMpqaj9dL6bSFNUXsNHu4v57NTBXdo90+TzF2RysqY+rAvEKODPsCmvlAcWb+Lah1fwsyU7+P3yvXy4s4iTNeEf0+qFt7Yc4amVB7hjzoiQRxEkJ8Ty61su4FhlLd9+fmOPGj3S5JmVByivrucb88+e872jvjF/NMUnayK6FV9WVce7uYVcO2Vwpy7JD8X8cRkkxEbxck6+p/vpqEWrDtLQ6Pj8BZmevP7MEWkMSU3kz2vC9/uggA86XFrFHU+u4bpHPuLVDYdJ7RVLZt9EausbeXvrER56ezvLdhZF9J+b7ZV3vJLvvbiR8zNT+P5V49v13POGpPDv105k2c4ifvvhHo8q9EZVbQNPrNjHJWMzmNyFF/nMGpnG9OF9efTDvRE7euTNzQXU1jfyuS7uc25OUnwMn5s2hFc25FNaWev5/tqjuq6BZz7Zz4JxGZ6daI6KMm6fPZyP95SwOS88Sxkq4AkMlbvyF8v4eE8J379qPJ88eBnP3DGTmy4cxt0LRnPfZWMY078Pb209wu+X7+2RVy2eqba+kW89m0Ojg4dvntZqv3tLbpkxjOumDOY/l+zoUXOPPLpsDyUVtdxzade13iHQffXNS0eTX1rF0yv3d+lrd4WGRsfjK/YxfmCfLr96tSVfuiiL6rrGsLZim/NKTj7FJ2u5c+5IT/dz68xh9EmI4XdhagSd0wHvnOOR93dx5zNryUpP4u375vH1+aPokxB72uP6Jydw26zh3HjhUArKqrju4Y/YcKg0PEV3kf/7122sP1jK//vC+Qzvl9Sh1zAzfvz5yWT1S+Jbz+b0iLnR845X8tule7h68qAumwP9VJeMzeCSsRn86t1dEXc83txSwO7Ck9y9YLRno2fONH5gMjNHpPH0ygMR81dNdV0Dv1m6h0mDkz+96tYrfRJiuX3WcN7YUsDuwu6fuuGcDfiKmnruWZTDz5bs5LNTBvPCP85mWL/W56GYkpnKP14yipho44bfreT5CGuVhOr5NYd4auUB7pw7gqvPH9Sp1+odH8Ovb72Asqo6vv3nDRHdheWc44evbsUMHrx6gif7MDP+7dqJVNc38B9/3RYx1ws0NDoeeX83ozKSWDi5cz/z9vrGgsBfNX9Ysa9b99uSRz/cy8FjlTy4cEK3fNB9dc4I+sTH8C8vb+n234dzMuB3F5bz2V9/xJtbCnjgM+P5xY1TQ56PY1BKIq/dM4cLR/Tley9t4oHFmyJ+1MSp3t56hPsXb2LumPR297u3ZMKgZP73ZyexYncxP3pta8SE2pkeX76Pd3ML+e4V4zo0LUGoRmX05p4FY/jLhsM8FyGNgMeW7WX7kXLu+7uxnRrz3xGXjM3g8okDePj9XWGf02hv0Ul+s3Q315w/iIvbubB2R6X3jufBhRNYte9Yt5+AP+cC/tWNh7nukY8orazlj3fM5GuXjGr3p3jfpDie+soMvj5/FM+uPsQNj67k0LFKjyruOq/k5PPNRTlMzkzld7dNb9fMiW25IXsod80bydMrD/CDV7ZQH2Fz1ryXe5SfvrWdqyYN5I45Izzf3z2XjmbumHT+/dWtfBzmKQw255Xx83d2sHDyQK7p5F9sHfVv10yk0TnufS4nbA2i4xW13PHUWpLiY/jB1RO7dd83ZA9l5og0/v3Vrd26GMo5E/CHS6v4xp/W8a1nc5g4KJnXvzmXizrxCR4THcX3rxrPo7dPZ19RBVf+chmPL4/M0RPVdQ38+I1c7vvzBqYNS+Xpr8xodc3RjjAzHvjMeL4+fxR/WnWQWx5fRUFZZMxA+dK6PL72zDomDkrmoS+e3y1/lkdHGb+6aRoj+iXx5SfX8ObmAs/32ZzNeWV86b9Xk947nh9/bnK39b2faWhaLx66fgpr9h/nvuc2dHvIF56o5itPriH/eBWP3T6dgSmdv/ahPaKijF/fegEDkhO446k1rD/YPSHvacCb2VVmtsPMdpvZ/V7uqznOOTbnlfHA4s3Mf2gp7+UW8p3Lx/LsXbO67Ad85aSBvHHvXGaOSOM//prLgp8t5Q8r9kXEBUDVdQ08v+YQV/5yGY8t28stM4fx9B0zSOkV2/aTO8DM+P5V4/n5DVPYlFfKgp8t5T+X7OBIWXhGHe06Ws7XnlnLd17YyPThfVl058yzTqB7KS0pjufumsWEQcl8/U/r+dazOezrpqXcausbeXz5Xm56bCWJsdE8e+csUnvFdcu+W3LtlMH86zUTeWvrEf7+1x+R0w0h19DoeCUnn6sfXsGOI+U8fMs0sj04uR6K9N7xPPPVmfSOj+GG363kF+/spKyqztN9mlf9pWYWDewELgfygDXAzc65bS09Jzs7261du7bd+6qsrafkZC3HKmopqahhf3El2wpO8MneEvKOVxEXHcX12Zl8/ZJR7ZrQv6XJo5qbedA5x4c7i3j4/d2sO3Cc6Cjj/MwULhjWl6z0JLL69WJQSiJ9EmJIio8hMTaaKKPDLSrnHM5Bg3NU1jRQXlPHiap6jpyoYtfRk+QcLGX5riIqahuYNDiZBxdOaFefY3PvvT0zLh46VslP39rOXzcVEGWBVYNmjEhjeL9eDEvrxeDURBLjokmIjSY+JoqYKGv3sXDOUdfgqK5voLy6noLSKvJLq9hTeJIVu4tZf7CU+Jgovn35WO6YM6JTF/Z05njU1Dfw26V7+M0He6htaGRGVhqzR/VjdP/eDE5NZHBqAr3iYoiPiSI2OqrVPvKmn7sDGoO3K2vrOVZRy/HKWvYVV7L+4HHe3nKEkopa5o/L4KefP79TDZrO/i6c6YPthfzzixspPlnLlKGpzB+bwYRByQxMSWBAcjwpibHEREURG93274RzjkYXOBYnq+sprarjeGUt+4sryDlYynu5RzlcVs2EQcn88sapjBvYJ+Q62/P/vz3Kqur4l5c38/qmAnrHxzB/XAbzxmTwhemZHTo/YmbrnHPZzd7nYcDPBn7onLsy+P0DAM65n7T0nI4EvHOOsT94k7qG099HWlIcF2b1Zf64/iw8b1CHWq0d/QHvPFrOaxsPs2J3MbkFJ6iua73bJsogyowoMyx42/G3/8jN/aduy5DUROaNzeDa8wcxe1S/dodnV/2n3l9cwYvr8li2q4gt+WW0NMgmyjhrgjPH6Q8+8303tHAsogwmZ6Zy5aQB3Jg9lH6949td95m64ngUnqjmuTWHWLLtCFsPn2jx5xhlgS7AjvzcAXrFBeaBuTF7KPO6YDrgrg54CCwo8+K6PBavz2fr4ZZ/L6KjjJhg6AWOxd8Cva3jkRAbxZzRGVw/fQhXTGz/bJFeBXyTLfllPL1yP0t3FBEbHcWK7y/oUIMvXAF/PXCVc+4fgt/fDsx0zt1zxuPuAu4KfjsO2OFJQR2TDkT2fKfdQ8dBxwB0DJpE2nEY7pxr9pO8a8+0na65j6KzPk2cc48Bj3lYR4eZ2dqWPhnPJToOOgagY9CkJx0HL0+y5gGnzsOaCRz2cH8iInIKLwN+DTDGzEaYWRxwE/Cqh/sTEZFTeNZF45yrN7N7gLeBaOAJ59xWr/bnkYjsOgoDHQcdA9AxaNJjjoNnJ1lFRCS8zpkrWUVEzjUKeBERn1LAN8PMnjCzQjPbEu5awsXMhprZB2aWa2ZbzezecNcUDmaWYGarzWxj8Dj8KNw1hYuZRZtZjpm9Hu5awsHM9pvZZjPbYGbtv+Q+DNQH3wwzmwecBJ52zp0X7nrCwcwGAYOcc+vNrA+wDvj71qaa8CMLXFqY5Jw7aWaxwArgXufcJ2EurduZ2T8B2UCyc+6acNfT3cxsP5DtnIuki5xapRZ8M5xzy4DIXAq+mzjnCpxz64O3y4FcwPuFPCOMCzgZ/DY2+HXOtYrMLBO4Gng83LVI6BTw0iYzywKmAavCXEpYBLsmNgCFwDvOuXPxOPwS+B4QefNhdx8HLDGzdcEpViKeAl5aZWa9gZeA+5xzJ8JdTzg45xqcc1MJXI09w8zOqW47M7sGKHTOrQt3LWF2sXPuAuAzwN3BrtyIpoCXFgX7nF8C/uScWxzuesLNOVcKLAWuCm8l3e5i4LpgH/RzwKVm9sfwltT9nHOHg/8WAi8DM8JbUdsU8NKs4MnFPwC5zrmfh7uecDGzDDNLDd5OBP4O2B7WorqZc+4B51ymcy6LwJQj7zvnbgtzWd3KzJKCgw0wsyTgCiDiR9kp4JthZs8CK4FxZpZnZneEu6YwuBi4nUBrbUPwa2G4iwqDQcAHZraJwPxK7zjnzslhgue4AcAKM9sIrAb+6px7K8w1tUnDJEVEfEoteBERn1LAi4j4lAJeRMSnFPAiIj6lgBcR8SkFvHQ7M2sIDrvcaGbrzeyicNcUKjN70syu9+B1s5pmLzWz+U0zNprZdWZ2f1fvT84Nni3ZJ9KKquCl/5jZlcBPgEvCWlGEcs69itYylg5SC17CLRk4DoF5b8zsvWCrfrOZfbbpQWb2r2a23czeMbNnzey7we0XmtkmM1tpZg+d0grOMrPlwdf69K8EM4sys98E53Z/3czeaGqRm9l0M/swOJnU28Epk5szz8w+NrO9pzy32dqDdeSa2e+D+1wSvCK2aX8bzWwlcHdzOzKzL5vZI8HbT5rZfzWz7xbfk5zjnHP60le3fgENwAYCl/yXAdOD22MIzDUOkA7sBozAHOQbgESgD7AL+G7wcVuAi4K3fwpsCd7uBSQEb48B1gZvXw+8QaBxM5DAh8v1BKYB/hjICD7uRgILxZ9Z+5PAC8HnTwR2t1F7FlAPTA3e9zxwW/D2JuCS4O2HTql9PvB68PaXgUfa2Hez7yncP2d9hf9LXTQSDqd20cwGng7O0GjAj4Oz9DUSmH9+ADAH+Itzrir4nNeC/6YCfZxzHwdfdxHQtBBFLPCImU0l8IEyNrh9DvCCc64ROGJmHwS3jwPOA94JTMNDNFDQQv2vBJ+/zcwGBLe1VDvAPufchuDtdUCWmaUAqc65D4PbnyEwS2Fbmtt3S+9JznEKeAkr59xKM0sHMoCFwX+nO+fqgrMXJhAIz+a0tB3g28BRYAqBlm11G88xYKtzbnYIZdc0U8OtNF/7mY9vIPCXiNGxhUOa23drx0HOYeqDl7Ays/EEWsslQAqBecfrzGwBMDz4sBXAtRZYH7U3gZWFcM4dB8rNbFbwcTed8tIpQEGwVXt7cB9Nr/WFYL/1AALdIQA7gIzgXxSYWayZTWrHW2mp9ma5wNTDZWY2J7jp1nbs60wtvSc5x6kFL+GQaIEVkiDQ+vySc67BzP4EvGaBBY03EJyW1zm3xsxeBTYCB4C1BPruAe4Afm9mFQTmam/a/hvgJTP7IvABUBHc/hJwGYG++50EVqkqc87VBk9M/lew+ySGwCpGW0N8T83W3oavAE+YWSXwdoj7aU6z76kTryc+odkkpUcws94usPB1L2AZcJcLLAje2wXXTA2OFx/knLs3xNfqR2Dq14udc0c8fxMe8uN7ks5TC156isfMbCKBfu2nXHBBcOBqM3uAwO/yAQKjTtryevAEbRzwf3wShH58T9JJasGLiPiUTrKKiPiUAl5ExKcU8CIiPqWAFxHxKQW8iIhP/Q/CUIdifIxWcgAAAABJRU5ErkJggg==",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.distplot(numeric_data[\"Baggage handling\"])\n"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Checkin service"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<AxesSubplot:xlabel='Checkin service', ylabel='Density'>"
+      ]
+     },
+     "execution_count": 25,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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nk5oUzz9eOZ2Orh5+tepApEvrlwWBMVGsrKaJKYUDN6EAFDgTsPbHwJLUB6qbB20WAt/IofzM5Ji7IthaUUdivLBkom+BwIl56Vw5ewx/3VZFT090dnxbEBgTpdo6uzl6qoUpg4yuAd9SExD99ybo6u7hYG3zoCOG/PIzkmPqikBV2XuikSn5GSQl/P3j9dIZBdQ2tbPjWHTeUc6CwJgodbC2mZ4gRtcAJCfGk5OayP4TjWGobPiOnm6lo7uHyUG8J/D1E1TVt9EU5aNu/Kob26lr6WR6n+G+y6YXIAKv7amOUGUDsyAwJkoFO2LIryArOeqbhg4M8T3lOVc6B2OkeWjvcV8QTx+T+b7tuelJnFeSY0FgjBmaMmd0zcS8wOvx9FWQmUJZdRPdUdoODb4+DyD4piH/yKHa6A44vz3HGxmbnUJ2auIZj31oRgHbKuqjcvSQBYExUaqspomS3DRSEgceXeNXkJlMe1cPFVF8i8ey6ibyM5MDflAGMjo9iTj5+5VENOvs7uHoqRam9nO1c/G0fADWlZ8KZ1lBsSAwJkodqG4KqqPYr8A5e95/Ino/NA/UDO09JcTHMT43jQMx0DRUVd9GtyoluYHnR8wcm0VqYjwbD58Oc2WDsyAwJgp1dfdQXhPcMEu//Ezf7Nto7SdQVcqqm5hcEFxTl9+k/IyYGDl01JnDUTIqcBAkxscxtySbTUc8FgQicpWI7BWRMhG5M8Djy0SkXkS2OF/fc7MeY2LFUEfXgG/NocKsZPZXR+fIoZrGdhrbuoZ0RQAwOT+dg7XNUd33AXD0dAvZqYlkDdDstWDCKHYda4i6O6+5FgQiEg/8D3A1MAu4WURmBdh1tarOc75+6FY9xsSSoY4Y8ptWmBm1cwn+/p4yB9nz/SbnZ9De1cOxKF9d9eiplkGXAlkwYRRdPcq2irrwFBUkN68IFgNlqlquqh3An4DrXXw9Y84aww2CKQUZlFU3ReUMVn/zzlCbhvxXRWVR3Dx0sqmd0y2d/fYP+J1XMgqAjVHWPORmEBQBR3v9XOFs6+sCEdkqIi+IyDmBDiQit4vIBhHZUFNT40atxkSVsuomCjKTyUoJbnSN39SCTFo6ujlWH31nz2XVTWQkJ7x3G8pgTXKGz0bzUhNbjtYBUNxP/4DfqPQkJuWns/GQd4Ig0D3o+p6mbAImqOpc4BfAikAHUtX7VXWhqi7Mz88PbZXGRKGyQe7g1Z+pzrpE0dhhXFbTxOT8dEQC356yP7npSeSkJUZ1h/GWo3XECRTlDNw0BL6rgq0VdVF1wx03g6ACKOn1czFwrPcOqtqgqk3O9yuBRBHJc7EmY6KeqvqGjg4jCPwdsWVROIT0QHXwawz1JiJMzs+I6rkEm4/UUZiV8r71hfozrySb2qYOKqOoz8PNIHgXmCoiE0UkCbgJeK73DiIyRpzTAxFZ7NRz0sWajIl6xxt8a+sMJwhGpSeRlxF9I4ca2zo53tA2pFFQvU3OT4/auQQ9PcrWo3WD9g/4zS3JAWDr0ehZgM61IFDVLuBrwIvAbuAJVd0pIl8WkS87u90I7BCRrcA9wE0aTddLxkTAPudsflrh0EbX+E0tyIi6piH/h/hwwg18cwlqm9qpb+0MZVkhUV7bRGN7V7/zB/qaMSaLpPg4tkbRyCFXb1XpNPes7LPtvl7f/xL4pZs1GBNr/CuIDjsICjN4dlMlqjrk9ni3+Jt1htM01Pt5B2qamD9+VMjqCoXNR+oABh066peUEMescVnvdTBHA5tZbM5q1Q1tUTd5ZzB7jzeSl5FMbnrSsJ4/tSCDxvYuTkTRPYzLappIiBMmjA7urLkv/5VENPZ9bDlaR2ZKAnnOEh/BmFeSw47K+qiZJGc3rzeoKve8WsYTG46SkZzAxdPyg17xMlq1d3Xz36/s59dvlhMnsKg0l6tnjyU+LjrOkAeyr7qJaUHclaw//glb+6sbGZMdHTd9L6tuojQvncRBbrnZn/G5aaQkxrHneHT1fYDvimBucQ5xQ7j6mluSze/XHKKsuumMJasjwa4IPE5V+daTW/mvV/ZRPCqVqvpW/rj2ELVN0XM2ORw/fn43v3r9AB89r4g5RdmsOXCS1/dG51rwvfX0KPtPNA67WQh6DSGNorPnA87Q0eGKjxOmFWayL8puvNPa0c3eE43MczqAgzW32Lf/1ihpHrIg8LiXd53gmU2VfPWDk/nT7efzpUsmEyfCw2sP09ndE+nyhmVbRR0PrT3MrReW8rOPz+XGBSXMK8lh1d7qqF6iGaCyrpWWju4RBcHo9CRGpSVGTYdxR1cPh0+2DLuj2G96YWbUXRFsd5p3zhufM6TnlY5OJyslgS1R0mFsQeBhHV09/McLe5hSkME3L5uGiDAqLYmPLyimurE9KldJHIyq8i8rdpCXkcwdV0x7b/t1544jIzmB57dXRbC6wfmHfU4fM/wPTRFhakEmZVEyhHR/dSPdPcqMPrdvHKrpYzKpbWrnZBRdrW456vsdGeoVQVyccG5xjl0RmMh7/N0jHKxt5jvXzCShV9vttMJMSkal8ua+mqjpzArWOwdOsrWinn+8Ytr7lmdITYrnoqn5HD7Z8t5ywdFo7/HhLczW15TCDPadaIqK2au7jjUAMGvcyIMA/n47yGiw5WgdJbmpjM4IvqPYb25JNnuON9LWGfnBDBYEHqWq/G7NIeaW5LBs+vuX7RARlk0v4HRLZ1SNdQ7G79YcIjc9ievnnbms1cIJo0hJjOOtstoIVBac3VUNjOvnVodDMbUgg/rWTmqbOkJU2fDtqmogNTGe0tEjG4DgD4Joah7acqSOeSXDG846tziH7h5l57HITyyzIPCodw6cpLymmVvOnxBwrPmMMZkUZiXzzoHYmeh99FQLr+4+wU2LSgLe3jE5MZ5FpbnsqKyPqun9vW2vrGdOcfaIjzPVuaKIhs7VXccamDE2c8QjtvKdIbXR8J4ATjS0cay+bcjNQn7+522JghnGFgQe9fC6w+SkJXLtuWMDPi4iLC7NpbKulR2Vkf+PGozH1h8B4DPnT+h3n/MnjkaBZzZWhKmq4DW0dXKwtpk5RSMPAn8zzPYI/9upKruqGpg1dmTNQuD7Pzm9MJPdUXJF4J9INtwgKMhKYWx2SlT0E1gQeFBNYzsv7TzBxxcUD3hj9Hklo0iIEx5/92i/+0SLnh7l2c2VXDwtn3EDrAA5Kj2JSXnpPL2pIiraz3vzB+4cZ2jhSOSmJ1GSmxrxG6BUnG6lsa1rxP0DfrOLsthd1UBHV+RHtG0+cprEeOGcEby3ucU5UTEow4LAg57beoyuHuXjC0sG3C81KZ7ZRdms2FIZ9bNz15afpKq+jY/NLx503/kTRnHoZEvU3UT8vSAIwRUB+D5kIr2w2U6no/iccaF5T/NKRtHR1cPuqoaQHG8k1h08xdzinAFPpgazaGIuFadbI373NQsCD3pmUwVzirKDGqu+sHQUjW1drIzyYZfPbK4kMzmBK2YVDrrvOeOySEuK56koax7aVlFPUU7qsJeW6GteSQ6Vda3UNEZuuOWuY/XEiW8OQCjMc8brR3qdnub2LrZX1rNkUu6IjrNkou/56w5Gti/OgsBj9hxvYOexBm6YH+hmcWeaODqdiXnpUd081NrRzQvbq7hmztigzs6SE+K5Zs5Y/rqtKqqudHZU1ofsagD+vtxxJJuHNh45zfQxWaQmDf+subdx2SnkZyZHPAg2HTlNd4+yZOLoER1n5tgsMlMSWH/wVIgqGx4LAo95ZlMlCXHCdXPHBbW/iPDJRSWsP3Qqam+K/tKu4zR3dPPRIMMN4MYFxTS1d/HizuMuVha8+pZODp1sCcmIIb9zxmURHycR64zs7O5h0+E6FpeGbrVQEWFeSU7Eg2Bd+Sni44T5E0b23uLjfIMy1pVbEJgw6eru4dnNlSybXjCkCTA3zC8mIU54YkN0XhU8vamSopxUFpcGf5m+uDSXktzUqGke8jcNLBrCexhMWlICUwsy2ByhD82dxxpo7exm0cTQvSfwNXkdrG2mriVycyTWHTzJ7KJsMpJHvm7nkkm5lNc2U93YFoLKhseCwEPeKqulprGdGxcEf+YMkJ+ZzGUzC3l6Y0VUjNborbqhjbf21/Cx+UXEDWGcelyccMP8Yt4+UBvxjjqANQdOkpIYN+yhiP1ZWDqKTYdPR+Tf7V2nuWMoAR2M894bf18X0uMGq6Wji61H6zk/RAG32GleWhvBqwILAg95ZlMl2amJfHBGwZCfe9PiEk42d/DK7hMuVDZ8f95yjB6Fj543tHAD35WOKjy7udKFyoZmzYFaFpXmBnXP26G4aGo+zR3dbI7AEMX1h04xYXQaBVmhXQp7bkkOSfFxvB2hGeJv7a+lo7uHS6blD75zEOYUZZObnsRrEfzdsiDwiIa2Tl7ceZzr5o4lOWHoHXcXTc2nKCf1vUlb0UBVeezdI8wfn8OkYdz5qiQ3jfMn5fLUxsjOKahpbGffiSYunJwX8mNfMHk08XHC6v3h/dDs6VE2HDoV0qYuv/TkBBZNHMUb+2pCfuxgvLL7BJkpCSFr8oqPEz40o4DX9lRHbMVfCwKPeHpjBe1dPXxy4fhhPT8+Tvj4wmLeKquNmkXb1h88RXlNM59a0v9M4sHcuKCEg7XNEZ3U8065r39g6ZSRjUAJJCslkfNKcli9P7wfmruqGjjd0vne8MhQWzatgH0nmsLerNfdo7y6u5oPTi8Y9k12ArlsZiENbV1sOBSZ/4cWBB6gqvxx7WHmleSMaFSKfwLak1HSafzo+iNkpiSwfE7gZTKCcfXsMaQlxfPkhsh1Gq/eV0NmSkLIJl31ddHUfLZV1nOqOXydqy/sqCI+Trhs5uDzOobDv1Di63vDG3Bbjp7mZHMHlwUxX2UoLpqaR1JCXMSaXi0IPGBNrwXmRqIoJ5VLpuXzxIaKiC9PXdvUzgvbj3PD/OIRjVFPT07gw3PHsWJLZUTWuW/r7OZvO49z+axC126jedG0PFQJ2x3aVJUXth/n/Em5jArR5Li+phRkMC47Jex3nfvbjuMkxEnI+gf80pMTWDp5NC/uPE5PBH63LAg84IHV5YxKS2R5PwvMDcVNi0o43tDGG/sie9vHB1YfpLOnh89eMLJwA/jCRZNo6+zhD+8cDkFlQ7NqTzWNbV3D6uwO1rziHIpHpfL0pvBc9ew70UR5bTNXzR75/7f+iAgfmlnAm/trqG/tdO11emvr7OapjRVcNrNwxMuEB/KR84qoON3K6gh0glsQnOU2HznNqr01fOGiSSNaE8Xv0pmF5GUk8ccIfGj61bd08vDawyyfM3ZYncR9TSnI4PJZhTz0ziFaOrpCUGHwVmypJD8z2ZWOYr+4OOHjC0p4u+xkWPp3Vm6vQgSuPMedZiG/Ty4cT1tnDyvCNOrrhR1VnG7pHHB125G4avYYRqcn8fDa8P9uWRCc5e5+eR+56Un8w4WlITleYnwcty2dyKq9Naw5EJnhe799q5ym9i6++sEpITvmly+ZTF1LJ79582DIjjmYU80drNpTw/Vzx7nWLOR348JiROBJlyfQtXV288i6I3xgSh4FmaEdNtrXnOJszi3O5pF1h8My6uvhtUeYmJfOhZND36kPvqVPPrGohFd3n6CqPryd4BYEZ7HX9pxg9f5avnTxpJDMgPT7/AcmUpSTyr//dXfY+wrKa5q4781yrj13LDNDsMa934IJo1g+Zyy/er0sbKOifrWqjK6eHm5aPPAqsKFQlJPKRVPz+dP6IzS3u3fV8+SGo9Q2tfO/loUupAfy6SXj2XeiyfW1etYcqGXj4dN8esn4IU1cHKpPLfaN6vvVqgOuvUYgFgRnqbqWDu58ejvTCzO5dWlpSI+dkhjPP189g11VDTywujykxx6IqvLdFTtITojje9fOCvnx71o+kzgR/vW5na532FXWtfLQO4e5YX7xiO9PHKyvXzqF6sZ27n3dnQ+Zjq4e7nujnPnjczh/hKtyBuu6uePIy0jmRyvdOynp7O7h+8/tpHhUqmvNQn4luWl89oJSHll3OKy3sLQgOAt1dffw7ae2caq5g//3ibnDmkA2mOvOHcvyOWP56Yt7WVseniV0f/bSXtYcOMmdV88I+WxV8J01f/vK6by2p5pfvFYW8uP7qSr/9pddIPCNy6e59jp9LZiQy0fmjeP+1eUcqm0O+fF/+rc9VNa18vXLpgW8/akb0pIS+JdrZ7Ktot61tvXfrC5n34kmvnftrJD0sw3mm5dNIyctie+u2EF7V3hWx7UgOMt0dvfwj09u5eVdJ/jO8pnMDuGyxr2JCD+5YQ4TctP44kMbXL23sarymzfL+Z9VB7h5ccl7l89uuG1pKR+bX8R/vbKP37190JW25/96ZT9/23mcb10+jaIB7qbmhjuvnklyQhyf+/27Ib1PwQvbq3jgrYP8wwUTQj60cjAfnjuOi6bm8R8v7GZNiEfc/HlLJT/9216umTOGy0M8d6A/2WmJ/ODD57D5SB13PLE1LM2vrgaBiFwlIntFpExE7gzwuIjIPc7j20Rkvpv1nO12VNbzsV+tYcWWY3z7yunctnSiq6+XmZLIQ59fTGFWCv/w4HrueXV/yNf3r6xr5WuPbuZHK3dz5TmF/Nv1s1092xQRfvzROVw2s5Af/GUX33x8S8hmr7Z0dPHdFdu559X9fGJhMbdfPCkkxx2KMdkp/O7WRRyrb+Xm36wd8Yzqru4e7n39AF99dBNzS3K4a/nMEFUaPBHh7k/MY3xuGrf9/l2e3HB0xE177V3d3P3SXu54YitLJuZy9yfmhe0qB3xNXt+5ZibPb6vi1t+tp+K0u/1WoetB7ENE4oH/AS4HKoB3ReQ5Vd3Va7erganO1xLgXufPs47/zLL3Cab2eez92/w/93qs13Mb2jqpaWynurGdXccaWLWnmg2HT5ObnsS9n57P1SOYbTsUxaPSePrLF3LnM9u4++V9PPj2Qa6cNYZFE3OZnJ9ObnoSOalJZKQkECcE/GVSVTq7ldaObo43tFFV38qh2mbeKjvJqr3VCPDPV83gSxdPcrWjzi8lMZ77b1nAz1/dz72vl7Fy+3EumZ7PxVPzmFaYSUFWClkpCWSmJAZcJE5Vae3spq6lk7oW3w3p1x88yXNbj1HX2skXPjCRf7pqRlg/WHpbWJrLg7cu4puPb+GGe9fwgSl5XDGrkJljsyjMSiEjOYHMlAQSnCUUVBVV6OpRTrd0UNvUzvH6NjYePs2KzZUcq29j+blj+ekN57rSDBmM/MxkHvvi+XzxoQ18+6lt/GZ1OcvnjOO88TmMz00jIyWBjOQEkhPi3vf33vff6tDJZjYcOs1zW49R29TOx84r4gfXnxOWJqG+vnjxJNKS4/nR87v54M9e59IZhXz2wgmuDDV2LQiAxUCZqpYDiMifgOuB3kFwPfCQ+j4J14pIjoiMVdWQ3xfxbzuOc8cTW4AzP2QDfTjzvm3D+xAPp+mFmdx1zQw+sbCEnDR3ZnP2JzstkXs/s4B3D53ikbWHeX57FY8PsAyFPxD8n+md3YH/wopHpXLbhaXc5oxSCqe4OOGOy6fxiYXFPLD6IC/tPM7Lu4Y//T8pIY7LZxXyuaWlLJgQno7UgVw4OY9Xv7WM+98s589bKvmXP+8c8jHi44QlE3P5wfWzuWxmQcSCzW90RjJPfflCntt6jIfeOcTPX913xu+iv8SBfkcT432LwN1yfikfmOre/I5gfHqJr6ntwbcO8ectlcwuynIlCMSt8bciciNwlap+wfn5FmCJqn6t1z5/BX6iqm85P78K/LOqbuhzrNuB250fpwN7XSl66PKAyAymd4+9p9hg7yl2RMv7mqCqATtw3LwiCHR60Dd1gtkHVb0fuD8URYWSiGxQ1YWRriOU7D3FBntPsSMW3pebncUVQO+ZMsXAsWHsY4wxxkVuBsG7wFQRmSgiScBNwHN99nkO+Kwzeuh8oN6N/gFjjDH9c61pSFW7RORrwItAPPCgqu4UkS87j98HrASuAcqAFuA2t+pxSdQ1V4WAvafYYO8pdkT9+3Kts9gYY0xssJnFxhjjcRYExhjjcRYEwzDY0hmxSEQeFJFqEdkR6VpCRURKRGSViOwWkZ0i8vVI1zRSIpIiIutFZKvznn4Q6ZpCRUTiRWSzM78o5onIIRHZLiJbRGTD4M+IHOsjGCJn6Yx99Fo6A7i5z9IZMUdELgaa8M30nh3pekJBRMYCY1V1k4hkAhuBj8Tyv5X4pu+mq2qTiCQCbwFfV9W1ES5txETkDmAhkKWq10a6npESkUPAQlWNhslkA7IrgqF7b+kMVe0A/EtnxDRVfRNw9+4eYaaqVaq6yfm+EdgNuHdz4DBQnybnx0TnK+bP5kSkGFgOPBDpWrzIgmDoioDeC+lUEOMfLl4gIqXAecC6CJcyYk4TyhagGnhZVWP+PQE/B/4J6IlwHaGkwEsistFZJidqWRAMXVDLYpjoISIZwNPAN1S1IdL1jJSqdqvqPHwz8ReLSEw35YnItUC1qm6MdC0htlRV5+NbZfmrTvNrVLIgGDpbFiOGOO3oTwOPqOozka4nlFS1DngduCqylYzYUuDDTpv6n4APicjDkS1p5FT1mPNnNfAsvmblqGRBMHTBLJ1hooDTsfpbYLeq3h3pekJBRPJFJMf5PhW4DNgT0aJGSFX/j6oWq2opvt+n11T1MxEua0REJN0ZoICIpANXAFE7Is+CYIhUtQvwL52xG3hCVYe+mHuUEZHHgHeA6SJSISKfj3RNIbAUuAXfGeYW5+uaSBc1QmOBVSKyDd9JycuqelYMtzzLFAJvichWYD3wvKr+LcI19cuGjxpjjMfZFYExxnicBYExxnicBYExxnicBYExxnicBYExxnicBYGJOSIyRkT+JCIHRGSXiKwUkWkisiwUK1f2dxwR+XA0rDYrIj8UkcsiXYc5e7h2q0pj3OBMEnsW+IOq3uRsm4dv3LarVPU5wjR5UEQSnDkrger4XjhqMN5hVwQm1nwQ6HTueQ2Aqm5R1dXOjxki8pSI7BGRR5zgQEQWiMgbzgJgLzpLVCMiU0TkFWd9/00iMrn3i4nIImeN/EkicquI/NLZ/nsRuUdE1ohIuYjc2LdQZ3bp886xd4jIJwep5XUR+bGIvAF8x1nPPs55LE1EjopIovPaN/aqb43zGutFJNNZlO4/ReRdEdkmIl8K8b+BOcvYFYGJNbPx3VegP+cB5+Bb/+ltYKmIrAN+AVyvqjXOB/KPgM8BjwA/UdVnRSQF38lRCYCIXNjreUcCLBo2FvgAMAPflcJTfR6/Cjimqsud42U7ax/1VwtAjqpe4uw/H7gEWAVcB7yoqp1OtuEscfI48ElVfVdEsoBW4PNAvaouEpFk4G0ReUlVDw7yd2s8yoLAnG3Wq2oFgLNUcylQhy9AXnY+ROOBKmctmCJVfRZAVduc5wHMBO4HrvAvHhbAClXtAXaJSKCmqe3Az0Tk/wJ/VdXVzkqhZ9TS6zmP9/n+k/iC4CbgV32OPx2oUtV3nfobnPqvAM7tdZWSDUwFLAhMQBYEJtbsBM5ohumlvdf33fj+jwuwU1Uv6L2jcwbdnyogBd8VRn9B0Pu1zlieXFX3icgC4BrgP0TkJXz9G2fU0ktzr++fc56XCywAXuuzrxB4CXQB/reqvtjPaxjzPtZHYGLNa0CyiHzRv8FpJ79kgOfsBfJF5AJn/0QROcc5g64QkY8425NFJM15Th2+O2b9WESWDadQERkHtKjqw8DPgPn91RLo+c6dyNYD/43viqK7zy57gHEissg5VqaIJOBbEPErTjMUzoiq9OG8B+MNdkVgYoqqqoh8FPi5M5SzDTgEfIN+7hSnqh1OM8k9IpKN7//9z/FdXdwC/FpEfgh0Ah/v9bwTInId8IKIfO7MIw9qDvCfItLjHPsrg9QSyOPAk8Cyft7XJ4FfiG9J6lZ8y1I/gK9JbJPTWV4DfGQY9RuPsNVHjTHG46xpyBhjPM6CwBhjPM6CwBhjPM6CwBhjPM6CwBhjPM6CwBhjPM6CwBhjPO7/AyPwnye0bWwkAAAAAElFTkSuQmCC",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.distplot(numeric_data[\"Checkin service\"])"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Sauberkeit"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<AxesSubplot:xlabel='Cleanliness', ylabel='Density'>"
+      ]
+     },
+     "execution_count": 26,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.distplot(numeric_data[\"Cleanliness\"])"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Online boarding"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<AxesSubplot:xlabel='Online boarding', ylabel='Density'>"
+      ]
+     },
+     "execution_count": 27,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.distplot(numeric_data[\"Online boarding\"])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<AxesSubplot:>"
+      ]
+     },
+     "execution_count": 28,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1080x576 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# correlation between numeric variables\n",
+    "fig, ax = plt.subplots(figsize=(15,8))\n",
+    "feature_corr = numeric_data.drop(\"Arrival Delay in Minutes\", axis=1).corr()\n",
+    "sns.heatmap(feature_corr, annot=True, cmap='coolwarm')"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Die Korrelationsmatrix zeigt, dass die Attribute \"Flugentfernung\", \"Sitzkomfort\" und \"Alter\" eine kritische positive Korrelation von über 0,8 aufweisen. Dieser Zusammenhang wird später im Rahmen der Multikollinearität erneut untersucht und muss entfernt werden."
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 2.4.2. Kategoriale Merkmale"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Die Zielvariable Zufriedenheit wird auf Null (unzufrieden) und Eins (zufrieden) abgebildet, damit eine grafische Darstellung mit den kategorialen Variablen erstellt werden kann."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "count        129487\n",
+       "unique            2\n",
+       "top       satisfied\n",
+       "freq          70882\n",
+       "Name: satisfaction, dtype: object"
+      ]
+     },
+     "execution_count": 29,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "raw_data['satisfaction'].describe()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "satisfied       70882\n",
+      "dissatisfied    58605\n",
+      "Name: satisfaction, dtype: int64 \n",
+      "\n",
+      "Female    65703\n",
+      "Male      63784\n",
+      "Name: Gender, dtype: int64 \n",
+      "\n",
+      "Loyal Customer       105773\n",
+      "disloyal Customer     23714\n",
+      "Name: Customer Type, dtype: int64 \n",
+      "\n",
+      "Business travel    89445\n",
+      "Personal Travel    40042\n",
+      "Name: Type of Travel, dtype: int64 \n",
+      "\n",
+      "Business    61990\n",
+      "Eco         58117\n",
+      "Eco Plus     9380\n",
+      "Name: Class, dtype: int64 \n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "category = [\"satisfaction\", \"Gender\", \"Customer Type\", \"Type of Travel\", \"Class\"]\n",
+    "for c in category:\n",
+    "    print (\"{} \\n\".format(raw_data[c].value_counts()))\n",
+    "raw_data['satisfaction']=raw_data['satisfaction'].map({'satisfied':1,'dissatisfied':0})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sn.countplot(x=\"satisfaction\", data=raw_data,palette= [\"orange\",\"green\"])\n",
+    "plt.title('Airlines Customer satisfaction Count')\n",
+    "plt.xticks([0,1],['Dissatisfied',\"Satisfied\"])\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Aus dem Diagramm geht hervor, dass insgesamt 70000 Kunden mit den Dienstleistungen von AIRCO Airlines zufrieden sind und etwa 60000 Kunden unzufrieden sind. Der Datensatz unserer Zielvariablen ist ausgeglichen"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Die kategorischen Attribute werden in Bezug auf die Zielvariable gesetzt."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1008x1008 with 4 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig,axs = plt.subplots(2,2,figsize=(14, 14))\n",
+    "cols=['Gender', 'Customer Type', 'Type of Travel', 'Class']\n",
+    "c=0\n",
+    "for i in range(2):\n",
+    "  for j in range(2):\n",
+    "    sn.countplot(data=raw_data,x=cols[c],hue='satisfaction',palette= [\"orange\",\"green\"],ax=axs[i][j])\n",
+    "    axs[i][j].set_title('Customer Satisfaction as per {}'.format(cols[c]))\n",
+    "    axs[i][j].legend(['Dissatisfied',\"Satisfied\"])\n",
+    "    c+=1"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Aus den obigen Diagrammen können wir Folgendes schließen:\n",
+    "\n",
+    "Weibliche Kunden, die mit AIRCO Airlines geflogen sind, sind zufriedener als männliche Kunden. Loyale Kunden sind zufriedener als untreue Kunden. Personen, die aus geschäftlichen Gründen reisen, sind zufriedener als solche, die aus privaten Gründen reisen. Mehr Kunden reisen in der Business Class und sind auch zufriedener als diejenigen, die in der Economy Class fliegen."
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Korrelationsanalyse"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1080x576 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, ax = plt.subplots(figsize=(15,8))\n",
+    "sn.heatmap(raw_data.corr(),cmap='coolwarm',annot=True)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Aus den obigen Diagrammen können wir Folgendes schließen:\n",
+    "\n",
+    "Weibliche Kunden, die mit AIRCO Airlines geflogen sind, sind zufriedener als männliche Kunden. Loyale Kunden sind zufriedener als untreue Kunden. Personen, die aus geschäftlichen Gründen reisen, sind zufriedener als solche, die aus privaten Gründen reisen. Mehr Kunden reisen in der Business Class und sind auch zufriedener als diejenigen, die in der Economy Class fliegen."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "raw_data.drop(['Flight Distance','Departure/Arrival time convenient','Gate location',\n",
+    "               'Departure Delay in Minutes','Arrival Delay in Minutes'],axis=1,inplace=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1080x576 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, ax = plt.subplots(figsize=(15,8))\n",
+    "sn.heatmap(raw_data.corr(),cmap='coolwarm',annot=True)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# 3. Datenaufbereitung"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
+   "source": [
+    "## 3.1 Zielvariable (Satisfaction)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Text(0.5, 1.0, 'satisfied im Vergleich zur dissatisfied')"
+      ]
+     },
+     "execution_count": 36,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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+cQ199j2D+tS31Mx/m77jJ7F82p1022YMJVvu0NnSg8piYHRlRfk3voW0B3lTVXYhU+8nD0zbWiRShKlfh6lfi0SKqFuxiPWrl6lpN2QA8EAsnsyLPJ8XD6pj8WR34Ak6fuDnzkOEbx+5HIAeo39Cz9GHALD6nadZ88E0umy2DX3GTyJa0oOyscez7Nm/IMVd6Fd+IStevIve4071qT6ojMc2o0LflMqLqnIsnnwEO5pA3lC/ehlFPTdh/ZqVLH74MvoeeDbFfQcTKe0FIqx8+X7WVy2n36Hnb7Bf7ZdzqP7kVXrufCgrX74fiUTpM/4sot37+DmR4NEAHBz2ELChrzbE4smLyDPTAhT13ASAaPfedNt2T9Z+/QnR7n2QSBSRCD13Oph1iz7ZYB9jDKn/PEzZXj9l5cwH6b33yXTf/sesevspH6cQVCLYKvNA30I2hlAb1w22da1vHe1Nw7paGtZWfzdfO/9dumw6hPqq5d9tU/3JqxT3G7LBfmvmvEDp0N2IlvTA1K0FiYCInVfS6Q88GIsnQxsQMLRtXPej3w0U+9bS3qyvXsmSx6+2/zQ00H3kvpRuvStLn76RdYs/BxGKyvrT9+Bzvtunoa6WqjkvMOCEqwDotftRLHniWiRaRL8jLvFxGkFnP+Ay7CiLoSO0bdxYPBkHrvOtQwk164BRlRXln/oW0lpCWVWOxZPDyYOeQcU7XYCbfYtoC6E0LnALUOJbhJIXHBKLJ4/yLaK1hK6qHIsnTwL+4VuHkldUAiMrK8prfAtpKaEqcV10xht961DyjhgQ9y2iNYTKuNh27SDfIpS85BIXTDAUhMa4sXhyEHBOzg0VpW2UYMO8hoLQGBe4GOjqW4SS1xweiyd/4ltESwiFcWPxZH/gF751KAVBwreAlhAK4wIXAqW+RSgFwR6xePIA3yJyEXjjxuLJTYD/51uHUlD8zreAXATeuMD5QA/fIpSCYr9YPBnoAc4DbVwXrfFc3zqUguRC3wKyEWjjAueRT1EtlDBxpBtvKpAE1rhu/Bd9bqv4IkqAa3uBNS5wMPaDZ0XxxVmxeDKQ/StBNu5pvgUoBU8ZcIJvEZkIpHFj8WQv4AjfOhQFNW6rOBZ94UIJBvvH4sm+vkU0JajG1aDASlAoAo72LaIpgTNuLJ7cHBvIS1GCQuDC/wbOuMDJBFOXUrgErrocRINoNVkJGoGrLgfKuLF4cktAR6pSgkigepcDZVxgH98CFKUZxrsv1QJB0Iy7r28BitIMRdjR/gKBGldRWs5Y3wIaCYxxY/HkZsAw3zoUJQtq3AxoaasEnV1i8WQgBpkLknG1Y0oJOiXATr5FQLCMqyWuEgYCUV0OhHFdN/tI3zoUpQWocdPYBRDfIhSlBahx0xjuW4CitJChsXiyn28RalxFaT2jfAsIinG39S1AUVrB5r4FqHEVpfWocWPxZJQA/BCK0goG+xbg3bjAQOwL3IoSFrwXNEEw7ha+BShKK1HjosZVwodWlYEBvgUoSisZ4IbI8UYQjFviW4CitJIIMMi3AN908S1AUdqA15piEIzb1bcARWkDXgucIBhXS1wljHj9oF6Nqyhto+CNq1VlJYx47VUOwhtLWuK2I71ZveKn0WlzT4xOj2wh3w6VYFzjvKOargYWezt+EC6qGncj2Uq+XjAx+uz88uhrvftQtb0Ie/nWlO/0oNb4PH4QjBsEDSHDmD0jc+dOjE5eMi4ye/MSqdsG2NK3qgKj3ufBg2CalG8BYaAr62oPi7w2e0LRlNpRMn/bqJjtfWsqcAreuN/6FhBU+rBq+SnRF+aeEJ1evIUsGSXC7r41Kd+xyufBg2DcJb4FBImh8tUXZ0UnV/4k+nqf3qzZXoS9fWtSMuKvZwo1rneEhoa9Ih98MDE6eflekQ827yp1Q4EhvnUpWTF4rikGwbgFV1UuYW3N4dFXZ0+ITl03UiqHR8XomMDhYjmJVMG3cQuixN2E1NLTiqZ+dFx0RvFglu4gwh6+NSltxms1GdS4HcpwWTB/YvTZBYdE3+jTi+pR2l7NG7zXEoNg3KVAA8F4/XKjEBoaxkVmz5kYnbxiz8jcLbtK/VbAVr51Ke2OlriVFeUNsXhyOeA9OnxbKGVt9ZHRmbNPi06tGyELtouI2dG3JqXD+ca3AO/GdXxKiIzbnxVLTi2a+vGx0Ze7DGLZDiKM8a1J6VQ+8i0gKMZ9F9jTt4hsjJAv5p1VNPnLgyJv9utJzUhtrxY07/kWEBTjvuNbQFMiNKzfLzLrgzOjz60YE/lwSBepHwoM9a1L8Y4BZvsWERTjvutbAEA3atccHX1lzqnR5+uGy5cjtL2qZGA+iVSVbxFBMe4coA4PUQUGsPzbCUVTPz4m+nLJZizX9qqSi/d9C4CAGLeyonxdLJ78ABjdGcfbXuZ/dlbR5IUHRt7etIdtr/bvjOMqeYEatwnv0kHGjdCwfnzknTlnRp9buUfko1ixrN8G2KYjjqXkPd47piB4xj2zvRLrTk3VsdEZs0+JvtAwTBaOjAg7tVfaSkHzlm8BEDzjbhQDWfbN6UXPfXJ09JVu/Vm5g0iwHzEpoeNTEqkFvkVAsIz7NlBLK4ck2UnmfTqxaPJX+0fe6d+d2hEibNYx8hSF53wLaESM8RrzagNi8eRk4JBs20RZX39A5J05Z0SfTe0W+WTrYlmvo/0pncURJFJP+RYBwSpxAZ4hg3G7U7P6hOj0OSdHp5mh8tXIiHRO77OipFEHvOhbRCNBNO7NAINZsuj0ouc+PSo6s/umpLS9qvjm1SC8eNFIoIxbWVE+78HLjn70yOjM7bvL2hHAQN+aFMUxxbeAdAL3DezJRdPmOdMqSpAITMcUBNC4wGO+BShKEz4jkQrE89tGgmfcROpN4EvfMhQljXt9C2hK8Ixredi3AEVxGOA+3yKaElTj3o79wRTFN9NJpL7wLaIpwTRuIvUp8IJvGYpCAKvJEFTjWm7zLUApeNYQ0M7SIBv338DXvkUoBc1jQXrpIp3gGtcO8XCXbxlKQXOzbwHNEVzjWm4H1vsWoRQkU0mk3vYtojmCbdxEaiG2yqwonc21vgVkI9jGtVyBPhpSOpf/kEhN9y0iG8E3biL1PvBP3zKUguI63wJyEXzjWn6PtnWVzuF9EqmnfYvIRTiMm0h9BDzgW4ZSEAS+tIWwGNdyBTYKgaJ0FG8Skvfkw2PcROpz4G++ZSh5iwHOJZEKRUdoeIxruRJY7VuEkpfcSyL1um8RLSVcxk2kvgYu8y1DyTtWAXHfIlpDuIxr+Qvwhm8RSl6RIJFa7FtEawifcROpBuBnQL1vKUpeMBf4H98iWkv4jAuNL2Xc4FuGEnoMcI77oCVUhNO4liuAz3yLCCrrGww7/7WKwx6sBiAxvZbBf1zN6NuqGH1bFc98ap+szVxQz463VrH7HVV8trwBgJW1hoPvX0OQRrnoIP5EIhWYIOetIbzGTaRqgbN9ywgqf359HSP6bXh5LxjbhVln92DW2T04dJgdQ/zGV9fx2AmlXDu+hFvfXAfAVS+t5bd7d0VEOl13JzILuNS3iLYSXuMCJFIvoFXmH7BwVQPJT+uZtEuXnNsWR6GmHqrrDMVRmLe8ga9WN7BvLFCx8tubGuBkEql1voW0lXy4OpcCY4BxvoUEhfOfreX/H1DC6nUbVnX/8sY6/v5eHbsNinLjQSX0KRUu3bsrP3+qltJiuO/oUi6aUstVP+7qSXmn8WsSqQ99i9gYwl3iQmOkjBOBUHXndxRPf1JH/+7CroOiGyz/5W5dmHdeD2ad3Z2BPYQLp9QCMHqzKK9N6s6Lp3fn8xUNDOoZwQAnPlrNqY/XsLiqwcNZdCj/IpEKfTyz8BsXIJFaBJyMfkHEzAXrefLjemI3reakR2uYNr+eUx+vYUCPCNGIEBHhZ7t24Y2vNvypjDFcPWMt/71PV654aS1X7NeVU3cs5ubXQ1ubzMTXwCTfItqD/DAuQCI1Dfv5X0Fz3QElLPx1TyrP78lDx5Uyfqsi7j+mlEWrvy85n/iwjlH9N7z0975XR/mwIvqUCtV1EBE7VefPZx21wNEkUst8C2kP8qGNm861wJ5AuW8hQeOS59cy65v1CBDrHeGvh5V8t666znDve3VMObUbAL8e24VjH6mhSxT+cWypJ8XtzpkkUnnzxl2gRqRvFxJlvYCXQAe/Vr7jKhKpy32LaE/yz7gAibIBwCvANr6lKN65j0Rqgm8R7U3+tHHTsS+MHwQs8i1F8cpU4CzfIjqC/CxxG0mU7YitNvf2rETpfN4F9iWRysvvt/OzxG3EfoxwOPZNGaVweBs4IF9NC/luXIBE6hXgBCCvHkgqzfIasD+J1HLfQjqS/Dcu4MJtlgOBHMBJaTdmAAeSSKV8C+lo8ruN25RE2W7AM8CmvqUo7c4LwBEkUtW+hXQGhVHiNpJIvQXsDQRuhHFlo5gMHFYopoVCMy5AIvUJ8CNgjm8pSrtwN3CU+z67YCisqnI6ibI+wFPAXr6lKG2iHvt5XujiRbUHhVfiNpJIrQDGA//rW4rSapYBBxWqaaGQS9x0EmUnAncCPXxLUXLyPrZqPN+3EJ8UbombTiL1MLAb2u4NOo8CPyp004KWuBuSKOsG3Ark3UvpIacKuDgfIle0F2rcTCTKzgL+BPT0LUXhRWAiiVSlbyFBQqvKmUik7gJGAc/6llLAVAPnYl9frPSsJXBoiZuLRNkE4I/AJr6lFBCvAGeQSM3zLSSoaImbi0Tq78BwbK+z3uU6liXAr7Cf46lps6AlbmtIlI3Fjha4q28peUYNcBNQQSK1yrOWUKDGbQuJsqOwg2zv4FlJ2GkA7gcuI5H60reYMKHGbSuJMgGOBxLACL9iQsnz2Ec8s3wLCSNq3I0lURbBBmP/PRqcLhfrgX9hR8mb6VlLqFHjtheJsiJsCXw2sI9nNUFjNXAXcLO+9dQ+qHE7gkTZCODnwOlAH89qfFIJ3AzcpZ1O7YsatyNJlJVg4139AvsNcCGQwlaHHwamkEgV/HhOHYEat7NIlG0HHAkcAYwlv56hrwaexJr1uTCPOxsW1Lg+SJRtChyGNfGBQHe/gtrE18B04DHgmUKLQOEbNa5vbHX6x9hYWHtgPy/s7VNSM8zHBpefAczQN5v8osYNGvb58DBgd6yRdwd2Arp1ooovgQ+Audjg4jNIpBZ24vGVHKhxw4KtXm8JDMnwtw/QFShJ+9t0CNUaYCW286hxWokNAzMf+ByYB8zL5xEA8gU1br5iXwwpAboAa0ik8meIakWNqyhhJJ8eSShKwaDGVZQQ0rQDQ1EyIiIJbNC2XsAMY8zz7ZBmDPiRMeZB9/9uwARjzHlZ9vkDcCh2DKh5QLUx5u+tOGaVMSb0YXjVuEqrMMZc3o7JxbBfVj3o0n4LeCvHPr8ANjXGrG1HHaFDq8pKs4jI70TkYxF5Hhu+BxG5R0SOc/MVIjJXRN4XkRvcsuNFZI6IvCciM9yymIi8LCLvuKnxve0KYJyIzBKRC0RkPxF52u2zr1s+S0TeFZGeIvIk9i2z10XkRBFJiMhFbvuhIvKsiLztjrWdW76ViLwqIm+KyFWd+PN1LMYYnXT6wYQNzzMb++JHL+Az4CLgHuA4oC/wMd8/mejt/s4GBjdZ1g0ocfPDgLfc/H7A02nH/O5/3LhObr4HUOTmq9K2TwAXufkXgGFufgwwzc0/ia1+g41nVbUxv0tQJi1xleYYBzxhjKk2xqzCGiCdVUAtcKeIHIMNpwowE7hHRH4GRN2yYuAOEZkN/BMY2YLjzwT+KCLnYW8A9c1tKCI9sF9f/VNEZgF/BQa61XsB/3Dz97XguKFAjatko9mH/M5Ie2A/MjgKF4PaGHM2cBmwBTBLRDYBLgAWY1/d3A37Ukj2AxtTAUwCSoHXGqu+zRABVhpjRqdN6eGE8u5lBTWu0hwzgKNFpFREegKHp690pVyZMeYZ4HxgtFs+1BjzurGdWEuxBi4DFhljGoDT+L4kXk0zo0W4dGYbY67Hdlg1a1xXI5gvIse7fUVEdnKrZwInuflTWnH+gUaNq2TEGPMO9vvaWdhS9eUmm/QEnhaR97FfDV3glv9BRGaLyBys+d8DbgFOF5HXgG2BNW7b94F615F1wYbJc35jJxf2PevJOSSfApzltv8A++0zwH8BvxKRN7E3kLxAX3lUlBCiJa6ihBA1rqKEEDWuooQQNa6ihBA1rqKEEDWuooQQNa6ihBA1rqKEEDWuooQQNa6ihBA1rqKEEDWuooQQNa6ihBA1rqKEEDWuooQQNa6ihJD/A6XaQ39RDen9AAAAAElFTkSuQmCC",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Generate pie chart for Satisfaction\n",
+    "# Generate percentages\n",
+    "satisfaction_rate =raw_data.satisfaction.value_counts() / len(raw_data.satisfaction)\n",
+    "\n",
+    "# Plot preparation\n",
+    "labels = 'satisfied', 'dissatisfied'\n",
+    "fig, ax = plt.subplots()\n",
+    "ax.pie(satisfaction_rate, labels=labels, autopct='%.f%%')  \n",
+    "ax.set_title('satisfied im Vergleich zur dissatisfied')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>satisfaction</th>\n",
+       "      <th>Age</th>\n",
+       "      <th>Seat comfort</th>\n",
+       "      <th>Food and drink</th>\n",
+       "      <th>Inflight wifi service</th>\n",
+       "      <th>Inflight entertainment</th>\n",
+       "      <th>Online support</th>\n",
+       "      <th>Ease of Online booking</th>\n",
+       "      <th>On-board service</th>\n",
+       "      <th>Leg room service</th>\n",
+       "      <th>Baggage handling</th>\n",
+       "      <th>Checkin service</th>\n",
+       "      <th>Cleanliness</th>\n",
+       "      <th>Online boarding</th>\n",
+       "      <th>Gender_Male</th>\n",
+       "      <th>Customer Type_disloyal Customer</th>\n",
+       "      <th>Type of Travel_Personal Travel</th>\n",
+       "      <th>Class_Eco</th>\n",
+       "      <th>Class_Eco Plus</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>65</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>4</td>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>5</td>\n",
+       "      <td>3</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1</td>\n",
+       "      <td>47</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>4</td>\n",
+       "      <td>4</td>\n",
+       "      <td>4</td>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1</td>\n",
+       "      <td>15</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>4</td>\n",
+       "      <td>4</td>\n",
+       "      <td>4</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1</td>\n",
+       "      <td>60</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>4</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>4</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1</td>\n",
+       "      <td>70</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>4</td>\n",
+       "      <td>3</td>\n",
+       "      <td>4</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>4</td>\n",
+       "      <td>2</td>\n",
+       "      <td>5</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   satisfaction  Age  Seat comfort  Food and drink  Inflight wifi service  \\\n",
+       "0             1   65             0               0                      2   \n",
+       "1             1   47             0               0                      0   \n",
+       "2             1   15             0               0                      2   \n",
+       "3             1   60             0               0                      3   \n",
+       "4             1   70             0               0                      4   \n",
+       "\n",
+       "   Inflight entertainment  Online support  Ease of Online booking  \\\n",
+       "0                       4               2                       3   \n",
+       "1                       2               2                       3   \n",
+       "2                       0               2                       2   \n",
+       "3                       4               3                       1   \n",
+       "4                       3               4                       2   \n",
+       "\n",
+       "   On-board service  Leg room service  Baggage handling  Checkin service  \\\n",
+       "0                 3                 0                 3                5   \n",
+       "1                 4                 4                 4                2   \n",
+       "2                 3                 3                 4                4   \n",
+       "3                 1                 0                 1                4   \n",
+       "4                 2                 0                 2                4   \n",
+       "\n",
+       "   Cleanliness  Online boarding  Gender_Male  Customer Type_disloyal Customer  \\\n",
+       "0            3                2            0                                0   \n",
+       "1            3                2            1                                0   \n",
+       "2            4                2            0                                0   \n",
+       "3            1                3            0                                0   \n",
+       "4            2                5            0                                0   \n",
+       "\n",
+       "   Type of Travel_Personal Travel  Class_Eco  Class_Eco Plus  \n",
+       "0                               1          1               0  \n",
+       "1                               1          0               0  \n",
+       "2                               1          1               0  \n",
+       "3                               1          1               0  \n",
+       "4                               1          1               0  "
+      ]
+     },
+     "execution_count": 37,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Dummy creation\n",
+    "data_enc = pd.get_dummies(raw_data, drop_first=True)\n",
+    "data_enc.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Zielvariable und Prädiktoren trennen\n",
+    "y = data_enc[\"satisfaction\"]\n",
+    "X = data_enc.drop(labels = [\"satisfaction\"], axis = 1)"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 3.2. Umkodierung von kategorialen Variablen"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "satisfaction_mapping = {\"satisfied\": 1,\"dissatisfied\": 0 }\n",
+    "raw_data['satisfaction']  = raw_data['satisfaction'].map(satisfaction_mapping)\n",
+    "\n",
+    "#Mapping Male and Female in number \n",
+    "Gender_mapping = {\"Male\": 1,\"Female\": 2 }\n",
+    "raw_data['Gender']  = raw_data['Gender'].map(Gender_mapping)\n",
+    "\n",
+    "#Mapping Loyal and disloyal in number \n",
+    "Customer_Type_mapping = {\"Loyal Customer\": 1,\"disloyal Customer\": 0 }\n",
+    "raw_data['Customer Type']  = raw_data['Customer Type'].map(Customer_Type_mapping)\n",
+    "\n",
+    "#Mapping Business travel and Business travel in number \n",
+    "Type_of_Travel_mapping = {\"Business travel\": 1,\"Personal Travel\": 2 }\n",
+    "raw_data['Type of Travel']  = raw_data['Type of Travel'].map(Type_of_Travel_mapping)\n",
+    "\n",
+    "#Mapping Business and Eco and Eco plus in number \n",
+    "Class_mapping = {\"Business\": 1,\"Eco\": 3, \"Eco Plus\": 2 }\n",
+    "raw_data['Class']  = raw_data['Class'].map(Class_mapping)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>satisfaction</th>\n",
+       "      <th>Age</th>\n",
+       "      <th>Seat comfort</th>\n",
+       "      <th>Food and drink</th>\n",
+       "      <th>Inflight wifi service</th>\n",
+       "      <th>Inflight entertainment</th>\n",
+       "      <th>Online support</th>\n",
+       "      <th>Ease of Online booking</th>\n",
+       "      <th>On-board service</th>\n",
+       "      <th>Leg room service</th>\n",
+       "      <th>Baggage handling</th>\n",
+       "      <th>Checkin service</th>\n",
+       "      <th>Cleanliness</th>\n",
+       "      <th>Online boarding</th>\n",
+       "      <th>Gender_Male</th>\n",
+       "      <th>Customer Type_disloyal Customer</th>\n",
+       "      <th>Type of Travel_Personal Travel</th>\n",
+       "      <th>Class_Eco</th>\n",
+       "      <th>Class_Eco Plus</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>65</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>4</td>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>5</td>\n",
+       "      <td>3</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1</td>\n",
+       "      <td>47</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>4</td>\n",
+       "      <td>4</td>\n",
+       "      <td>4</td>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1</td>\n",
+       "      <td>15</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>4</td>\n",
+       "      <td>4</td>\n",
+       "      <td>4</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1</td>\n",
+       "      <td>60</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>4</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>4</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1</td>\n",
+       "      <td>70</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>4</td>\n",
+       "      <td>3</td>\n",
+       "      <td>4</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>4</td>\n",
+       "      <td>2</td>\n",
+       "      <td>5</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   satisfaction  Age  Seat comfort  Food and drink  Inflight wifi service  \\\n",
+       "0             1   65             0               0                      2   \n",
+       "1             1   47             0               0                      0   \n",
+       "2             1   15             0               0                      2   \n",
+       "3             1   60             0               0                      3   \n",
+       "4             1   70             0               0                      4   \n",
+       "\n",
+       "   Inflight entertainment  Online support  Ease of Online booking  \\\n",
+       "0                       4               2                       3   \n",
+       "1                       2               2                       3   \n",
+       "2                       0               2                       2   \n",
+       "3                       4               3                       1   \n",
+       "4                       3               4                       2   \n",
+       "\n",
+       "   On-board service  Leg room service  Baggage handling  Checkin service  \\\n",
+       "0                 3                 0                 3                5   \n",
+       "1                 4                 4                 4                2   \n",
+       "2                 3                 3                 4                4   \n",
+       "3                 1                 0                 1                4   \n",
+       "4                 2                 0                 2                4   \n",
+       "\n",
+       "   Cleanliness  Online boarding  Gender_Male  Customer Type_disloyal Customer  \\\n",
+       "0            3                2            0                                0   \n",
+       "1            3                2            1                                0   \n",
+       "2            4                2            0                                0   \n",
+       "3            1                3            0                                0   \n",
+       "4            2                5            0                                0   \n",
+       "\n",
+       "   Type of Travel_Personal Travel  Class_Eco  Class_Eco Plus  \n",
+       "0                               1          1               0  \n",
+       "1                               1          0               0  \n",
+       "2                               1          1               0  \n",
+       "3                               1          1               0  \n",
+       "4                               1          1               0  "
+      ]
+     },
+     "execution_count": 40,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data_enc.head()"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 3.3. Test auf Multikollinearität"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {
+    "editable": true,
+    "include": true,
+    "paragraph": "DataPreparation",
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
+   "source": [
+    "Um ein korrektes Funktionieren der späteren Regression zu gewährleisten, darf keine Multikollinearität zwischen den Variablen bestehen. Das Vorhandensein einer solchen wird mit Hilfe der Bibliothek Statsmodel überprüft."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 41,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "                            feature        VIF\n",
+      "0                               Age   7.188491\n",
+      "1                      Seat comfort  12.285935\n",
+      "2                    Food and drink  10.305150\n",
+      "3             Inflight wifi service  13.704495\n",
+      "4            Inflight entertainment  12.675092\n",
+      "5                    Online support  18.920383\n",
+      "6            Ease of Online booking  29.663559\n",
+      "7                  On-board service  14.990944\n",
+      "8                  Leg room service  11.194898\n",
+      "9                  Baggage handling  21.004540\n",
+      "10                  Checkin service   9.552105\n",
+      "11                      Cleanliness  22.375038\n",
+      "12                  Online boarding  20.494307\n",
+      "13                      Gender_Male   1.944395\n",
+      "14  Customer Type_disloyal Customer   1.735878\n",
+      "15   Type of Travel_Personal Travel   2.791512\n",
+      "16                        Class_Eco   3.174314\n",
+      "17                   Class_Eco Plus   1.259395\n"
+     ]
+    }
+   ],
+   "source": [
+    "from statsmodels.stats.outliers_influence import variance_inflation_factor \n",
+    "  \n",
+    "# unabhängige Variablen\n",
+    "vif_test = data_enc.drop(\"satisfaction\", axis=1)\n",
+    "  \n",
+    "# VIF dataframe \n",
+    "vif_data = pd.DataFrame() \n",
+    "vif_data[\"feature\"] = vif_test.columns \n",
+    "  \n",
+    "# VIF für jedes Feature \n",
+    "vif_data[\"VIF\"] = [variance_inflation_factor(vif_test.values, i) \n",
+    "                          for i in range(len(vif_test.columns))] \n",
+    "  \n",
+    "print(vif_data)"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Die \"Einfachheit der Online-Buchung\" hat den höchsten VIF und wird aus dem Datensatz entfernt."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 42,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data_enc.drop(\"Ease of Online booking\", axis=1, inplace=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 43,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "                            feature        VIF\n",
+      "0                               Age   7.136461\n",
+      "1                      Seat comfort  12.005266\n",
+      "2                    Food and drink  10.130276\n",
+      "3             Inflight wifi service  12.319654\n",
+      "4            Inflight entertainment  12.550334\n",
+      "5                    Online support  17.935242\n",
+      "6                  On-board service  14.187132\n",
+      "7                  Leg room service  10.964215\n",
+      "8                  Baggage handling  20.620740\n",
+      "9                   Checkin service   9.072649\n",
+      "10                      Cleanliness  21.424792\n",
+      "11                  Online boarding  17.289659\n",
+      "12                      Gender_Male   1.925879\n",
+      "13  Customer Type_disloyal Customer   1.679474\n",
+      "14   Type of Travel_Personal Travel   2.750587\n",
+      "15                        Class_Eco   3.173333\n",
+      "16                   Class_Eco Plus   1.259395\n"
+     ]
+    }
+   ],
+   "source": [
+    "from statsmodels.stats.outliers_influence import variance_inflation_factor \n",
+    "  \n",
+    "# unabhängige Variablen\n",
+    "vif_test = data_enc.drop(\"satisfaction\", axis=1)\n",
+    "  \n",
+    "# VIF dataframe \n",
+    "vif_data = pd.DataFrame() \n",
+    "vif_data[\"feature\"] = vif_test.columns \n",
+    "  \n",
+    "# VIF für jedes Feature \n",
+    "vif_data[\"VIF\"] = [variance_inflation_factor(vif_test.values, i) \n",
+    "                          for i in range(len(vif_test.columns))] \n",
+    "  \n",
+    "print(vif_data)"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "\"Sauberkeit\" hat nun den höchsten VIF und wird aus dem Datensatz entfernt."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 44,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data_enc.drop(\"Cleanliness\", axis=1, inplace=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 45,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "                            feature        VIF\n",
+      "0                               Age   7.128113\n",
+      "1                      Seat comfort  12.003755\n",
+      "2                    Food and drink  10.124713\n",
+      "3             Inflight wifi service  12.310982\n",
+      "4            Inflight entertainment  12.549643\n",
+      "5                    Online support  17.935093\n",
+      "6                  On-board service  12.975502\n",
+      "7                  Leg room service  10.634109\n",
+      "8                  Baggage handling  16.239889\n",
+      "9                   Checkin service   8.984176\n",
+      "10                  Online boarding  17.284155\n",
+      "11                      Gender_Male   1.918576\n",
+      "12  Customer Type_disloyal Customer   1.663837\n",
+      "13   Type of Travel_Personal Travel   2.741061\n",
+      "14                        Class_Eco   3.173333\n",
+      "15                   Class_Eco Plus   1.259281\n"
+     ]
+    }
+   ],
+   "source": [
+    "from statsmodels.stats.outliers_influence import variance_inflation_factor \n",
+    "  \n",
+    "# independant variables\n",
+    "vif_test = data_enc.drop(\"satisfaction\", axis=1)\n",
+    "  \n",
+    "# VIF dataframe \n",
+    "vif_data = pd.DataFrame() \n",
+    "vif_data[\"feature\"] = vif_test.columns \n",
+    "  \n",
+    "# VIF for each feature\n",
+    "vif_data[\"VIF\"] = [variance_inflation_factor(vif_test.values, i) \n",
+    "                          for i in range(len(vif_test.columns))] \n",
+    "  \n",
+    "print(vif_data)"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "\"Online-Support\" hat nun den höchsten VIF und wird aus dem Datensatz entfernt."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 46,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data_enc.drop(\"Online support\", axis=1, inplace=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 47,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "                            feature        VIF\n",
+      "0                               Age   7.017431\n",
+      "1                      Seat comfort  11.989293\n",
+      "2                    Food and drink  10.115398\n",
+      "3             Inflight wifi service  11.435636\n",
+      "4            Inflight entertainment  11.753455\n",
+      "5                  On-board service  12.964521\n",
+      "6                  Leg room service  10.603455\n",
+      "7                  Baggage handling  16.236694\n",
+      "8                   Checkin service   8.919686\n",
+      "9                   Online boarding  14.036032\n",
+      "10                      Gender_Male   1.916824\n",
+      "11  Customer Type_disloyal Customer   1.660199\n",
+      "12   Type of Travel_Personal Travel   2.740816\n",
+      "13                        Class_Eco   3.172096\n",
+      "14                   Class_Eco Plus   1.258892\n"
+     ]
+    }
+   ],
+   "source": [
+    "from statsmodels.stats.outliers_influence import variance_inflation_factor \n",
+    "  \n",
+    "# independant variables\n",
+    "vif_test = data_enc.drop(\"satisfaction\", axis=1)\n",
+    "  \n",
+    "# VIF dataframe \n",
+    "vif_data = pd.DataFrame() \n",
+    "vif_data[\"feature\"] = vif_test.columns \n",
+    "  \n",
+    "# VIF for each Feature \n",
+    "vif_data[\"VIF\"] = [variance_inflation_factor(vif_test.values, i) \n",
+    "                          for i in range(len(vif_test.columns))] \n",
+    "  \n",
+    "print(vif_data)"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "\"Baggage handling\" has the highest VIF and will be removed from data frame."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 48,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data_enc.drop(\"Baggage handling\", axis=1, inplace=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 49,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "                            feature        VIF\n",
+      "0                               Age   6.989177\n",
+      "1                      Seat comfort  11.963822\n",
+      "2                    Food and drink  10.111828\n",
+      "3             Inflight wifi service  11.424106\n",
+      "4            Inflight entertainment  11.748013\n",
+      "5                  On-board service  10.441115\n",
+      "6                  Leg room service   9.657004\n",
+      "7                   Checkin service   8.675751\n",
+      "8                   Online boarding  14.002870\n",
+      "9                       Gender_Male   1.898877\n",
+      "10  Customer Type_disloyal Customer   1.618749\n",
+      "11   Type of Travel_Personal Travel   2.720724\n",
+      "12                        Class_Eco   3.171792\n",
+      "13                   Class_Eco Plus   1.258871\n"
+     ]
+    }
+   ],
+   "source": [
+    "from statsmodels.stats.outliers_influence import variance_inflation_factor \n",
+    "  \n",
+    "# independant Variables\n",
+    "vif_test = data_enc.drop(\"satisfaction\", axis=1)\n",
+    "  \n",
+    "# VIF dataframe \n",
+    "vif_data = pd.DataFrame() \n",
+    "vif_data[\"feature\"] = vif_test.columns \n",
+    "  \n",
+    "# VIF for each Feature \n",
+    "vif_data[\"VIF\"] = [variance_inflation_factor(vif_test.values, i) \n",
+    "                          for i in range(len(vif_test.columns))] \n",
+    "  \n",
+    "print(vif_data)"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "\"Sitzkomfort\" hat nun den höchsten VIF und wird aus dem Datenrahmen entfernt."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 50,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data_enc.drop(\"Seat comfort\", axis=1, inplace=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 51,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "                            feature        VIF\n",
+      "0                               Age   6.969770\n",
+      "1                    Food and drink   5.547879\n",
+      "2             Inflight wifi service  11.395303\n",
+      "3            Inflight entertainment  11.175782\n",
+      "4                  On-board service  10.385238\n",
+      "5                  Leg room service   9.628200\n",
+      "6                   Checkin service   8.650901\n",
+      "7                   Online boarding  13.996517\n",
+      "8                       Gender_Male   1.898628\n",
+      "9   Customer Type_disloyal Customer   1.618041\n",
+      "10   Type of Travel_Personal Travel   2.720031\n",
+      "11                        Class_Eco   3.115371\n",
+      "12                   Class_Eco Plus   1.247721\n"
+     ]
+    }
+   ],
+   "source": [
+    "from statsmodels.stats.outliers_influence import variance_inflation_factor \n",
+    "  \n",
+    "# independant Variables\n",
+    "vif_test = data_enc.drop(\"satisfaction\", axis=1)\n",
+    "  \n",
+    "# VIF dataframe \n",
+    "vif_data = pd.DataFrame() \n",
+    "vif_data[\"feature\"] = vif_test.columns \n",
+    "  \n",
+    "# VIF for each Feature \n",
+    "vif_data[\"VIF\"] = [variance_inflation_factor(vif_test.values, i) \n",
+    "                          for i in range(len(vif_test.columns))] \n",
+    "  \n",
+    "print(vif_data)"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "\"Inflight Wifi Service\" hat nun den höchsten VIF und wird aus dem Datenrahmen entfernt."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 52,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data_enc.drop(\"Inflight wifi service\", axis=1, inplace=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 53,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "                            feature        VIF\n",
+      "0                               Age   6.924388\n",
+      "1                    Food and drink   5.533447\n",
+      "2            Inflight entertainment  11.108155\n",
+      "3                  On-board service  10.375790\n",
+      "4                  Leg room service   9.627567\n",
+      "5                   Checkin service   8.644883\n",
+      "6                   Online boarding   8.431370\n",
+      "7                       Gender_Male   1.893089\n",
+      "8   Customer Type_disloyal Customer   1.614883\n",
+      "9    Type of Travel_Personal Travel   2.719222\n",
+      "10                        Class_Eco   3.099101\n",
+      "11                   Class_Eco Plus   1.244339\n"
+     ]
+    }
+   ],
+   "source": [
+    "from statsmodels.stats.outliers_influence import variance_inflation_factor \n",
+    "  \n",
+    "# independant Variables\n",
+    "vif_test = data_enc.drop(\"satisfaction\", axis=1)\n",
+    "  \n",
+    "# VIF dataframe \n",
+    "vif_data = pd.DataFrame() \n",
+    "vif_data[\"feature\"] = vif_test.columns \n",
+    "  \n",
+    "# VIF for each Feature \n",
+    "vif_data[\"VIF\"] = [variance_inflation_factor(vif_test.values, i) \n",
+    "                          for i in range(len(vif_test.columns))] \n",
+    "  \n",
+    "print(vif_data)"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "\"Inflight Entertainment\" hat nun den höchsten VIF und wird aus dem Datenrahmen entfernt."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 54,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data_enc.drop(\"Inflight entertainment\", axis=1, inplace=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 55,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "                            feature        VIF\n",
+      "0                               Age   6.790904\n",
+      "1                    Food and drink   4.449850\n",
+      "2                  On-board service  10.276622\n",
+      "3                  Leg room service   9.586087\n",
+      "4                   Checkin service   8.282892\n",
+      "5                   Online boarding   7.159296\n",
+      "6                       Gender_Male   1.877273\n",
+      "7   Customer Type_disloyal Customer   1.579504\n",
+      "8    Type of Travel_Personal Travel   2.709785\n",
+      "9                         Class_Eco   3.089164\n",
+      "10                   Class_Eco Plus   1.241904\n"
+     ]
+    }
+   ],
+   "source": [
+    "from statsmodels.stats.outliers_influence import variance_inflation_factor \n",
+    "  \n",
+    "# independant Variables\n",
+    "vif_test = data_enc.drop(\"satisfaction\", axis=1)\n",
+    "  \n",
+    "# VIF dataframe \n",
+    "vif_data = pd.DataFrame() \n",
+    "vif_data[\"feature\"] = vif_test.columns \n",
+    "  \n",
+    "# VIF for each Feature \n",
+    "vif_data[\"VIF\"] = [variance_inflation_factor(vif_test.values, i) \n",
+    "                          for i in range(len(vif_test.columns))] \n",
+    "  \n",
+    "print(vif_data)"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "\"On-board service\" hat nun die höchste VIF und wird aus dem Datenrahmen entfernt."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 56,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data_enc.drop(\"On-board service\", axis=1, inplace=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 57,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "                           feature       VIF\n",
+      "0                              Age  6.633037\n",
+      "1                   Food and drink  4.414697\n",
+      "2                 Leg room service  7.663977\n",
+      "3                  Checkin service  7.770483\n",
+      "4                  Online boarding  6.979633\n",
+      "5                      Gender_Male  1.875789\n",
+      "6  Customer Type_disloyal Customer  1.568764\n",
+      "7   Type of Travel_Personal Travel  2.683712\n",
+      "8                        Class_Eco  3.074457\n",
+      "9                   Class_Eco Plus  1.239386\n"
+     ]
+    }
+   ],
+   "source": [
+    "from statsmodels.stats.outliers_influence import variance_inflation_factor \n",
+    "  \n",
+    "# independant Variables\n",
+    "vif_test = data_enc.drop(\"satisfaction\", axis=1)\n",
+    "  \n",
+    "# VIF dataframe \n",
+    "vif_data = pd.DataFrame() \n",
+    "vif_data[\"feature\"] = vif_test.columns \n",
+    "  \n",
+    "# VIF for each Feature \n",
+    "vif_data[\"VIF\"] = [variance_inflation_factor(vif_test.values, i) \n",
+    "                          for i in range(len(vif_test.columns))] \n",
+    "  \n",
+    "print(vif_data)"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Keine der Variablen hat jetzt einen VIF-Wert von mehr als 10."
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 3.4. Merkmalsskalierung"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 58,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# seperation of target variable and predictors\n",
+    "y = data_enc[\"satisfaction\"]\n",
+    "X = data_enc.drop(labels = [\"satisfaction\"], axis = 1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 59,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Age</th>\n",
+       "      <th>Food and drink</th>\n",
+       "      <th>Leg room service</th>\n",
+       "      <th>Checkin service</th>\n",
+       "      <th>Online boarding</th>\n",
+       "      <th>Gender_Male</th>\n",
+       "      <th>Customer Type_disloyal Customer</th>\n",
+       "      <th>Type of Travel_Personal Travel</th>\n",
+       "      <th>Class_Eco</th>\n",
+       "      <th>Class_Eco Plus</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1.691495</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>5</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>0.500825</td>\n",
+       "      <td>0</td>\n",
+       "      <td>4</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>-1.615922</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>4</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1.360753</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>4</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2.022237</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>4</td>\n",
+       "      <td>5</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        Age  Food and drink  Leg room service  Checkin service  \\\n",
+       "0  1.691495               0                 0                5   \n",
+       "1  0.500825               0                 4                2   \n",
+       "2 -1.615922               0                 3                4   \n",
+       "3  1.360753               0                 0                4   \n",
+       "4  2.022237               0                 0                4   \n",
+       "\n",
+       "   Online boarding  Gender_Male  Customer Type_disloyal Customer  \\\n",
+       "0                2            0                                0   \n",
+       "1                2            1                                0   \n",
+       "2                2            0                                0   \n",
+       "3                3            0                                0   \n",
+       "4                5            0                                0   \n",
+       "\n",
+       "   Type of Travel_Personal Travel  Class_Eco  Class_Eco Plus  \n",
+       "0                               1          1               0  \n",
+       "1                               1          0               0  \n",
+       "2                               1          1               0  \n",
+       "3                               1          1               0  \n",
+       "4                               1          1               0  "
+      ]
+     },
+     "execution_count": 59,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from sklearn.preprocessing import StandardScaler\n",
+    "num_features = ['Age']\n",
+    "\n",
+    "scaler = StandardScaler()\n",
+    "\n",
+    "X[num_features] = scaler.fit_transform(X[num_features])\n",
+    "X.head()"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 3.5. Erstellen von Test- & Trainingsdaten"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 60,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Seperation in test and training data\n",
+    "# default of 80% to 20% \n",
+    "from sklearn.model_selection import train_test_split\n",
+    "X_train, X_test, y_train, y_test = train_test_split(X, y, random_state=110)"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
+   "source": [
+    "# 4. Modellierung und Evaluation"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
+   "source": [
+    "## 4.1. Logistische Regression\n"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {
+    "editable": true,
+    "include": true,
+    "paragraph": "Modeling",
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
+   "source": [
+    "Zur Lösung des Problems wird die logistische Regression verwendet. Hierfür werden die beiden Bibliotheken Statsmodels und Scikit-Learn verwendet. Die vollständige Auswertung des Modells findet erst im Unterkapitel zu Scikit-Learn statt."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 61,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Seperation in test and training data\n",
+    "# default of 80% to 20% \n",
+    "from sklearn.model_selection import train_test_split\n",
+    "X_train, X_test, y_train, y_test = train_test_split(X, y, random_state=110)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 62,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Optimization terminated successfully.\n",
+      "         Current function value: 0.470147\n",
+      "         Iterations 6\n",
+      "                           Logit Regression Results                           \n",
+      "==============================================================================\n",
+      "Dep. Variable:           satisfaction   No. Observations:                97115\n",
+      "Model:                          Logit   Df Residuals:                    97104\n",
+      "Method:                           MLE   Df Model:                           10\n",
+      "Date:                Fri, 07 Jan 2022   Pseudo R-squ.:                  0.3172\n",
+      "Time:                        18:39:20   Log-Likelihood:                -45658.\n",
+      "converged:                       True   LL-Null:                       -66872.\n",
+      "Covariance Type:            nonrobust   LLR p-value:                     0.000\n",
+      "===================================================================================================\n",
+      "                                      coef    std err          z      P>|z|      [0.025      0.975]\n",
+      "---------------------------------------------------------------------------------------------------\n",
+      "const                              -3.0555      0.043    -70.903      0.000      -3.140      -2.971\n",
+      "Age                                -0.0363      0.008     -4.325      0.000      -0.053      -0.020\n",
+      "Food and drink                      0.1363      0.006     23.991      0.000       0.125       0.147\n",
+      "Leg room service                    0.4325      0.007     65.884      0.000       0.420       0.445\n",
+      "Checkin service                     0.3848      0.007     56.136      0.000       0.371       0.398\n",
+      "Online boarding                     0.5320      0.007     79.995      0.000       0.519       0.545\n",
+      "Gender_Male                        -1.1409      0.017    -67.811      0.000      -1.174      -1.108\n",
+      "Customer Type_disloyal Customer    -2.1034      0.025    -82.871      0.000      -2.153      -2.054\n",
+      "Type of Travel_Personal Travel     -0.7387      0.023    -32.091      0.000      -0.784      -0.694\n",
+      "Class_Eco                          -0.8919      0.021    -42.121      0.000      -0.933      -0.850\n",
+      "Class_Eco Plus                     -0.9593      0.032    -29.609      0.000      -1.023      -0.896\n",
+      "===================================================================================================\n"
+     ]
+    }
+   ],
+   "source": [
+    "# add constant\n",
+    "X_const = sm.add_constant(X_train)\n",
+    "# create Modell \n",
+    "log_reg = sm.Logit(y_train, X_const).fit() \n",
+    "print(log_reg.summary())"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {
+    "editable": true,
+    "include": true,
+    "paragraph": "Modeling",
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
+   "source": [
+    "Das trainierte Modell zeigt statistisch nicht-signifikante Variablen an. Dies ist gegeben, wenn der Wert P>|z| größer als 0,05 ist und es sich nicht um die Konstante handelt."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 63,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Removal of statistically non-significant features (P>|z|> 0.05).\n",
+    "insignificant_features = [\"Food and drink\", \"Leg room service\", \"Online boarding\"]\n",
+    "X_train.drop(insignificant_features, axis=1, inplace=True)\n",
+    "X_test.drop(insignificant_features, axis=1, inplace=True)"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Nun kann ein zweites Modell erstellt werden."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 64,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Optimization terminated successfully.\n",
+      "         Current function value: 0.536087\n",
+      "         Iterations 6\n",
+      "                           Logit Regression Results                           \n",
+      "==============================================================================\n",
+      "Dep. Variable:           satisfaction   No. Observations:                97115\n",
+      "Model:                          Logit   Df Residuals:                    97107\n",
+      "Method:                           MLE   Df Model:                            7\n",
+      "Date:                Fri, 07 Jan 2022   Pseudo R-squ.:                  0.2215\n",
+      "Time:                        18:39:21   Log-Likelihood:                -52062.\n",
+      "converged:                       True   LL-Null:                       -66872.\n",
+      "Covariance Type:            nonrobust   LLR p-value:                     0.000\n",
+      "===================================================================================================\n",
+      "                                      coef    std err          z      P>|z|      [0.025      0.975]\n",
+      "---------------------------------------------------------------------------------------------------\n",
+      "const                               0.2853      0.025     11.455      0.000       0.236       0.334\n",
+      "Age                                -0.0157      0.008     -2.021      0.043      -0.031      -0.000\n",
+      "Checkin service                     0.4824      0.006     75.477      0.000       0.470       0.495\n",
+      "Gender_Male                        -1.1661      0.016    -74.754      0.000      -1.197      -1.136\n",
+      "Customer Type_disloyal Customer    -2.1235      0.024    -88.675      0.000      -2.170      -2.077\n",
+      "Type of Travel_Personal Travel     -0.5736      0.021    -26.952      0.000      -0.615      -0.532\n",
+      "Class_Eco                          -1.0044      0.020    -50.550      0.000      -1.043      -0.965\n",
+      "Class_Eco Plus                     -1.0861      0.030    -35.952      0.000      -1.145      -1.027\n",
+      "===================================================================================================\n"
+     ]
+    }
+   ],
+   "source": [
+    "# new Modell\n",
+    "X_const = sm.add_constant(X_train)\n",
+    "log_reg2 = sm.Logit(y_train, X_const).fit() \n",
+    "print(log_reg2.summary())"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Es gibt noch eine nicht signifikante Variable "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 65,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Entfernen der statistisch nicht signifikanten Features (P>|z|> 0.05)\n",
+    "insignificant_features = [\"Checkin service\"]\n",
+    "X_train.drop(insignificant_features, axis=1, inplace=True)\n",
+    "X_test.drop(insignificant_features, axis=1, inplace=True)"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Nun kann ein drittes Modell erstellt werden."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 66,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Optimization terminated successfully.\n",
+      "         Current function value: 0.567816\n",
+      "         Iterations 6\n",
+      "                           Logit Regression Results                           \n",
+      "==============================================================================\n",
+      "Dep. Variable:           satisfaction   No. Observations:                97115\n",
+      "Model:                          Logit   Df Residuals:                    97108\n",
+      "Method:                           MLE   Df Model:                            6\n",
+      "Date:                Fri, 07 Jan 2022   Pseudo R-squ.:                  0.1754\n",
+      "Time:                        18:39:24   Log-Likelihood:                -55143.\n",
+      "converged:                       True   LL-Null:                       -66872.\n",
+      "Covariance Type:            nonrobust   LLR p-value:                     0.000\n",
+      "===================================================================================================\n",
+      "                                      coef    std err          z      P>|z|      [0.025      0.975]\n",
+      "---------------------------------------------------------------------------------------------------\n",
+      "const                               1.8518      0.016    119.179      0.000       1.821       1.882\n",
+      "Age                                -0.0039      0.008     -0.513      0.608      -0.019       0.011\n",
+      "Gender_Male                        -1.1208      0.015    -74.566      0.000      -1.150      -1.091\n",
+      "Customer Type_disloyal Customer    -1.9096      0.023    -83.608      0.000      -1.954      -1.865\n",
+      "Type of Travel_Personal Travel     -0.2557      0.020    -12.706      0.000      -0.295      -0.216\n",
+      "Class_Eco                          -1.2365      0.019    -64.406      0.000      -1.274      -1.199\n",
+      "Class_Eco Plus                     -1.3285      0.029    -45.824      0.000      -1.385      -1.272\n",
+      "===================================================================================================\n"
+     ]
+    }
+   ],
+   "source": [
+    "# new Modell\n",
+    "X_const = sm.add_constant(X_train)\n",
+    "log_reg2 = sm.Logit(y_train, X_const).fit() \n",
+    "print(log_reg2.summary())"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Keine nicht-signifikanten Variablen mehr. Das endgültige Modell wird erstellt."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 67,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Optimization terminated successfully.\n",
+      "         Current function value: 0.567816\n",
+      "         Iterations 6\n",
+      "                           Logit Regression Results                           \n",
+      "==============================================================================\n",
+      "Dep. Variable:           satisfaction   No. Observations:                97115\n",
+      "Model:                          Logit   Df Residuals:                    97108\n",
+      "Method:                           MLE   Df Model:                            6\n",
+      "Date:                Fri, 07 Jan 2022   Pseudo R-squ.:                  0.1754\n",
+      "Time:                        18:39:25   Log-Likelihood:                -55143.\n",
+      "converged:                       True   LL-Null:                       -66872.\n",
+      "Covariance Type:            nonrobust   LLR p-value:                     0.000\n",
+      "===================================================================================================\n",
+      "                                      coef    std err          z      P>|z|      [0.025      0.975]\n",
+      "---------------------------------------------------------------------------------------------------\n",
+      "const                               1.8518      0.016    119.179      0.000       1.821       1.882\n",
+      "Age                                -0.0039      0.008     -0.513      0.608      -0.019       0.011\n",
+      "Gender_Male                        -1.1208      0.015    -74.566      0.000      -1.150      -1.091\n",
+      "Customer Type_disloyal Customer    -1.9096      0.023    -83.608      0.000      -1.954      -1.865\n",
+      "Type of Travel_Personal Travel     -0.2557      0.020    -12.706      0.000      -0.295      -0.216\n",
+      "Class_Eco                          -1.2365      0.019    -64.406      0.000      -1.274      -1.199\n",
+      "Class_Eco Plus                     -1.3285      0.029    -45.824      0.000      -1.385      -1.272\n",
+      "===================================================================================================\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Finale Modell\n",
+    "X_const = sm.add_constant(X_train)\n",
+    "log_reg_final = sm.Logit(y_train, X_const).fit() \n",
+    "print(log_reg_final.summary())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 68,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# prediction\n",
+    "y_hat = log_reg_final.predict(sm.add_constant(X_test)) \n",
+    "# Statsmodel only gives the probabilities, so rounding is required.  \n",
+    "prediction = list(map(round, y_hat))"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 4.2. Evaluation"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {
+    "editable": true,
+    "include": true,
+    "paragraph": "Evaluation",
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
+   "source": [
+    "Zur Evaluation sollen mehrere Metriken verwendet werden, die komfortabler mittels Scikit-Learn erzeugt werden können. Deshalb wird das identische Modell wie mit Statsmodels nochmals in Scikit-Learn erzeugt."
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Scikit-Learn"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    " ## Training und Vorhersage"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 69,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from sklearn.linear_model import LogisticRegression\n",
+    "# C wird benötigt um das exakt selbe Modell zu bilden, wie mit Statsmodels; Quelle: https://www.kdnuggets.com/2016/06/regularization-logistic-regression.html\n",
+    "logistic_model = LogisticRegression(random_state=0, C=1e8)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 70,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Vorhersage auf Testdaten\n",
+    "result = logistic_model.fit(X_train,y_train)\n",
+    "prediction_test = logistic_model.predict(X_test)\n",
+    "prediction_train = logistic_model.predict(X_train)"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Evaluation"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 71,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Accuracy auf dem Testdatensatz: 0.7619238848387495\n"
+     ]
+    }
+   ],
+   "source": [
+    "from sklearn import metrics\n",
+    "\n",
+    "# Accuracy Score ermitteln\n",
+    "acc = metrics.accuracy_score(y_test, prediction_test)\n",
+    "print('Accuracy auf dem Testdatensatz: {}'.format(acc))"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {
+    "editable": true,
+    "include": true,
+    "paragraph": "Evaluation",
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
+   "source": [
+    "Die Accuracy suggiert ein überdurchschnittlich gutes Modell. Es handelt sich aber um einen balanciert Datensatz. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 72,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Trainingsdaten:\n",
+      "              precision    recall  f1-score   support\n",
+      "\n",
+      "           0       0.77      0.66      0.71     43923\n",
+      "           1       0.75      0.84      0.79     53192\n",
+      "\n",
+      "    accuracy                           0.76     97115\n",
+      "   macro avg       0.76      0.75      0.75     97115\n",
+      "weighted avg       0.76      0.76      0.76     97115\n",
+      "\n",
+      "Testdaten:\n",
+      "              precision    recall  f1-score   support\n",
+      "\n",
+      "           0       0.78      0.67      0.72     14682\n",
+      "           1       0.75      0.84      0.79     17690\n",
+      "\n",
+      "    accuracy                           0.76     32372\n",
+      "   macro avg       0.76      0.75      0.76     32372\n",
+      "weighted avg       0.76      0.76      0.76     32372\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Klassifikations Report\n",
+    "from sklearn import metrics\n",
+    "from sklearn.metrics import classification_report, confusion_matrix\n",
+    "\n",
+    "\n",
+    "print(\"Trainingsdaten:\")\n",
+    "print(classification_report(y_train,prediction_train))\n",
+    "print(\"Testdaten:\")\n",
+    "print(classification_report(y_test,prediction_test))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 73,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Text(0.5, 42.0, 'Predicted label')"
+      ]
+     },
+     "execution_count": 73,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 720x504 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Confusion-Matrix Testdaten\n",
+    "from sklearn.metrics import confusion_matrix\n",
+    "cm = confusion_matrix(y_test,prediction_test)\n",
+    "df_cm = pd.DataFrame(cm, index=['Dissatisfied','Satisfied'], columns=['Dissatisfied', 'Satisfied'],)\n",
+    "fig = plt.figure(figsize=[10,7])\n",
+    "heatmap = sns.heatmap(df_cm, annot=True, fmt=\"d\")\n",
+    "heatmap.yaxis.set_ticklabels(heatmap.yaxis.get_ticklabels(), rotation=0, ha='right', fontsize=14)\n",
+    "heatmap.xaxis.set_ticklabels(heatmap.xaxis.get_ticklabels(), rotation=45, ha='right', fontsize=14)\n",
+    "plt.ylabel('True label')\n",
+    "plt.xlabel('Predicted label')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 74,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "True Negatives: 9818\n",
+      "False Positives: 4864\n",
+      "False Negatives: 2843\n",
+      "True Positives: 14847\n",
+      "Recall: 0.839287733182589\n",
+      "Precision: 0.7532342346912891\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Metriken aus Konfusionsmatrix auslesen \n",
+    "tn, fp, fn, tp = cm.ravel()\n",
+    "recall = tp/(fn+tp)\n",
+    "precision = tp/(tp+fp)\n",
+    "print(\"True Negatives: \" + str(tn))\n",
+    "print(\"False Positives: \" + str(fp))\n",
+    "print(\"False Negatives: \" + str(fn))\n",
+    "print(\"True Positives: \" + str(tp))\n",
+    "print(\"Recall: \" + str(recall))\n",
+    "print(\"Precision: \" + str(precision))"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Precision und Recall bieten ein deutlich realistischeres Bild des Modells. Es erzielt eine Precision von rund 75% und einen Recall von 84%. Der Recall ist für den Anwendungsfall deutlich wichtiger und muss nicht in dem Fall verbessert werden."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 75,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 576x432 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# ROC-Kurve, AUC\n",
+    "fig, ax = plt.subplots(figsize=(8,6))\n",
+    "ax.set_title('ROC Kurve')\n",
+    "plot = metrics.plot_roc_curve(logistic_model, X_test, y_test, ax=ax);\n",
+    "ax.plot([0,1], [0,1], '--');"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Die AUC der ROC-Kurve liefert einen guten Wert von 0,77 Daraus lässt sich schließen, dass durch Optimierungen des Thresholds Optimierungspotential besteht."
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 4.3. Interpretation"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Zunächst sollen jedoch die Ergebnisse für das Unternehmen dargestellt und geklärt werden, welche Dienstleistung zu einer Kundenzufriedenheit führen würde und welche gegen die Kundenzufriedenheit sprechen."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 76,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Age                               -0.003849\n",
+       "Type of Travel_Personal Travel    -0.255720\n",
+       "Gender_Male                       -1.120784\n",
+       "Class_Eco                         -1.236491\n",
+       "Class_Eco Plus                    -1.328422\n",
+       "Customer Type_disloyal Customer   -1.909557\n",
+       "dtype: float64"
+      ]
+     },
+     "execution_count": 76,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Read out regression coefficients and thus find out importance of individual attributes\n",
+    "weights = pd.Series(logistic_model.coef_[0],\n",
+    " index=X_train.columns.values)\n",
+    "weights.sort_values(ascending = False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 77,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "AxesSubplot(0.125,0.125;0.775x0.755)\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Graphical representation of the most important features that lead to customer satisfaction\n",
+    "weights = pd.Series(logistic_model.coef_[0],\n",
+    "                 index=X_train.columns.values)\n",
+    "print (weights.sort_values(ascending = False)[:7].plot(kind='bar'))"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Die drei wichtigsten Merkmale, die zur Kundenzufriedenheit führen, sind:\n",
+    "\n",
+    "Der Customer Type_disloyal Customer\n",
+    "Die Klasse Eco Plus und\n",
+    "Die Klasse Eco"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 78,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "AxesSubplot(0.125,0.125;0.775x0.755)\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Most important features that lead customers from a customer dissatisfaction\n",
+    "print(weights.sort_values(ascending = False)[-8:].plot(kind='bar'))"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Die drei wichtigsten Merkmale, die zu Kundenunzufriedenheit führen\n",
+    "\n",
+    "Das Alter\n",
+    "Art der Reise_Persönliche Reisen\n",
+    "Geschlecht Männlich"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 4.4. Modell Optimierung"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Die Aufklärungsrate ist als Zielgröße zu niedrig und muss daher erhöht werden. Daher werden die Metriken bei verschiedenen Schwellenwerten der logistischen Regression analysiert."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 79,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "******** Für einen Schwellenwert von 0.05 ******\n",
+      "Accuracy: 0.5464599036204127\n",
+      "True Negatives: 0\n",
+      "False Positives: 14682\n",
+      "False Negatives: 0\n",
+      "True Positives: 17690\n",
+      "Recall: 1.0\n",
+      "Precision: 0.5464599036204127\n",
+      "\n",
+      "******** Für einen Schwellenwert von 0.1 ******\n",
+      "Accuracy: 0.5809650315087113\n",
+      "True Negatives: 1360\n",
+      "False Positives: 13322\n",
+      "False Negatives: 243\n",
+      "True Positives: 17447\n",
+      "Recall: 0.9862634256642171\n",
+      "Precision: 0.5670317527381455\n",
+      "\n",
+      "******** Für einen Schwellenwert von 0.15 ******\n",
+      "Accuracy: 0.5809650315087113\n",
+      "True Negatives: 1360\n",
+      "False Positives: 13322\n",
+      "False Negatives: 243\n",
+      "True Positives: 17447\n",
+      "Recall: 0.9862634256642171\n",
+      "Precision: 0.5670317527381455\n",
+      "\n",
+      "******** Für einen Schwellenwert von 0.2 ******\n",
+      "Accuracy: 0.5825404670703077\n",
+      "True Negatives: 1418\n",
+      "False Positives: 13264\n",
+      "False Negatives: 250\n",
+      "True Positives: 17440\n",
+      "Recall: 0.9858677218767665\n",
+      "Precision: 0.5680041688379365\n",
+      "\n",
+      "******** Für einen Schwellenwert von 0.25 ******\n",
+      "Accuracy: 0.6289385889039911\n",
+      "True Negatives: 3675\n",
+      "False Positives: 11007\n",
+      "False Negatives: 1005\n",
+      "True Positives: 16685\n",
+      "Recall: 0.9431882419446015\n",
+      "Precision: 0.6025205835620395\n",
+      "\n",
+      "******** Für einen Schwellenwert von 0.3 ******\n",
+      "Accuracy: 0.6418818732237737\n",
+      "True Negatives: 4139\n",
+      "False Positives: 10543\n",
+      "False Negatives: 1050\n",
+      "True Positives: 16640\n",
+      "Recall: 0.9406444318824194\n",
+      "Precision: 0.6121472979435677\n",
+      "\n",
+      "******** Für einen Schwellenwert von 0.35 ******\n",
+      "Accuracy: 0.7478685283578401\n",
+      "True Negatives: 7975\n",
+      "False Positives: 6707\n",
+      "False Negatives: 1455\n",
+      "True Positives: 16235\n",
+      "Recall: 0.9177501413227812\n",
+      "Precision: 0.7076540842123616\n",
+      "\n",
+      "******** Für einen Schwellenwert von 0.4 ******\n",
+      "Accuracy: 0.753984925244038\n",
+      "True Negatives: 9099\n",
+      "False Positives: 5583\n",
+      "False Negatives: 2381\n",
+      "True Positives: 15309\n",
+      "Recall: 0.8654041831543244\n",
+      "Precision: 0.7327685238368754\n",
+      "\n",
+      "******** Für einen Schwellenwert von 0.45 ******\n",
+      "Accuracy: 0.7540467070307674\n",
+      "True Negatives: 9101\n",
+      "False Positives: 5581\n",
+      "False Negatives: 2381\n",
+      "True Positives: 15309\n",
+      "Recall: 0.8654041831543244\n",
+      "Precision: 0.7328386787936811\n",
+      "\n",
+      "******** Für einen Schwellenwert von 0.5 ******\n",
+      "Accuracy: 0.7619238848387495\n",
+      "True Negatives: 9818\n",
+      "False Positives: 4864\n",
+      "False Negatives: 2843\n",
+      "True Positives: 14847\n",
+      "Recall: 0.839287733182589\n",
+      "Precision: 0.7532342346912891\n",
+      "\n",
+      "******** Für einen Schwellenwert von 0.55 ******\n",
+      "Accuracy: 0.7619238848387495\n",
+      "True Negatives: 9818\n",
+      "False Positives: 4864\n",
+      "False Negatives: 2843\n",
+      "True Positives: 14847\n",
+      "Recall: 0.839287733182589\n",
+      "Precision: 0.7532342346912891\n",
+      "\n",
+      "******** Für einen Schwellenwert von 0.6 ******\n",
+      "Accuracy: 0.6669343877424935\n",
+      "True Negatives: 10578\n",
+      "False Positives: 4104\n",
+      "False Negatives: 6678\n",
+      "True Positives: 11012\n",
+      "Recall: 0.6224985867721877\n",
+      "Precision: 0.7284996030695952\n",
+      "\n",
+      "******** Für einen Schwellenwert von 0.65 ******\n",
+      "Accuracy: 0.6780242184603978\n",
+      "True Negatives: 11824\n",
+      "False Positives: 2858\n",
+      "False Negatives: 7565\n",
+      "True Positives: 10125\n",
+      "Recall: 0.5723572639909553\n",
+      "Precision: 0.7798659785873835\n",
+      "\n",
+      "******** Für einen Schwellenwert von 0.7 ******\n",
+      "Accuracy: 0.5688249104164093\n",
+      "True Negatives: 13250\n",
+      "False Positives: 1432\n",
+      "False Negatives: 12526\n",
+      "True Positives: 5164\n",
+      "Recall: 0.29191633691351043\n",
+      "Precision: 0.7828987265009096\n",
+      "\n",
+      "******** Für einen Schwellenwert von 0.75 ******\n",
+      "Accuracy: 0.5688249104164093\n",
+      "True Negatives: 13250\n",
+      "False Positives: 1432\n",
+      "False Negatives: 12526\n",
+      "True Positives: 5164\n",
+      "Recall: 0.29191633691351043\n",
+      "Precision: 0.7828987265009096\n",
+      "\n",
+      "******** Für einen Schwellenwert von 0.8 ******\n",
+      "Accuracy: 0.5688249104164093\n",
+      "True Negatives: 13250\n",
+      "False Positives: 1432\n",
+      "False Negatives: 12526\n",
+      "True Positives: 5164\n",
+      "Recall: 0.29191633691351043\n",
+      "Precision: 0.7828987265009096\n",
+      "\n",
+      "******** Für einen Schwellenwert von 0.85 ******\n",
+      "Accuracy: 0.5626158408501174\n",
+      "True Negatives: 13298\n",
+      "False Positives: 1384\n",
+      "False Negatives: 12775\n",
+      "True Positives: 4915\n",
+      "Recall: 0.27784058790276994\n",
+      "Precision: 0.7802825845372281\n",
+      "\n",
+      "******** Für einen Schwellenwert von 0.9 ******\n",
+      "Accuracy: 0.4535400963795873\n",
+      "True Negatives: 14682\n",
+      "False Positives: 0\n",
+      "False Negatives: 17690\n",
+      "True Positives: 0\n",
+      "Recall: 0.0\n",
+      "Precision: nan\n",
+      "\n",
+      "******** Für einen Schwellenwert von 0.95 ******\n",
+      "Accuracy: 0.4535400963795873\n",
+      "True Negatives: 14682\n",
+      "False Positives: 0\n",
+      "False Negatives: 17690\n",
+      "True Positives: 0\n",
+      "Recall: 0.0\n",
+      "Precision: nan\n",
+      "\n",
+      "******** Für einen Schwellenwert von 0.99 ******\n",
+      "Accuracy: 0.4535400963795873\n",
+      "True Negatives: 14682\n",
+      "False Positives: 0\n",
+      "False Negatives: 17690\n",
+      "True Positives: 0\n",
+      "Recall: 0.0\n",
+      "Precision: nan\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Testing the metrics at different thresholds\n",
+    "threshold_list = [0.05,0.1,0.15,0.2,0.25,0.3,0.35,0.4,0.45,0.5,0.55,0.6,0.65,.7,.75,.8,.85,.9,.95,.99]\n",
+    "pred_proba_df = y_hat\n",
+    "for i in threshold_list:\n",
+    "    print ('\\n******** Für einen Schwellenwert von {} ******'.format(i))\n",
+    "    # Round up if value is above threshold\n",
+    "    y_test_pred = pred_proba_df.apply(lambda x: 1 if x>i else 0)\n",
+    "    # read metrics\n",
+    "    test_accuracy = metrics.accuracy_score(y_test, y_test_pred)\n",
+    "    print(\"Accuracy: {}\".format(test_accuracy))\n",
+    "    # Confusion matrix\n",
+    "    c = confusion_matrix(y_test, y_test_pred)\n",
+    "    tn, fp, fn, tp = c.ravel()\n",
+    "    recall = tp/(fn+tp)\n",
+    "    precision = tp/(tp+fp)\n",
+    "    # print metrics\n",
+    "    print(\"True Negatives: \" + str(tn))\n",
+    "    print(\"False Positives: \" + str(fp))\n",
+    "    print(\"False Negatives: \" + str(fn))\n",
+    "    print(\"True Positives: \" + str(tp))\n",
+    "    print(\"Recall: \" + str(recall))\n",
+    "    print(\"Precision: \" + str(precision))"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {
+    "editable": true,
+    "include": true,
+    "paragraph": "Deployment",
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
+   "source": [
+    "# 5. Deployment"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 80,
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# seperate individual (scaled) customer\n",
+    "customer_df = X_test.iloc[896]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 81,
+   "metadata": {
+    "editable": true,
+    "scrolled": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Age                               -0.028362\n",
+       "Gender_Male                        0.000000\n",
+       "Customer Type_disloyal Customer    0.000000\n",
+       "Type of Travel_Personal Travel     0.000000\n",
+       "Class_Eco                          0.000000\n",
+       "Class_Eco Plus                     0.000000\n",
+       "Name: 94290, dtype: float64"
+      ]
+     },
+     "execution_count": 81,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# overview about the customer\n",
+    "customer_df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 82,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Run Prediction\n",
+    "cust_pred = logistic_model.predict([customer_df])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 83,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# interprate result\n",
+    "def check_prediction(pred):\n",
+    "    if pred[0] == 1:\n",
+    "        print(\"Der Kunde wird vermutlich unzufrieden sein! Customer Relationship Management informieren!\")\n",
+    "    else:\n",
+    "        print(\"Der Kunde wird vermutlich zufrieden sein.\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 84,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Der Kunde wird vermutlich unzufrieden sein! Customer Relationship Management informieren!\n"
+     ]
+    }
+   ],
+   "source": [
+    "check_prediction(cust_pred)"
+   ]
+  }
+ ],
+ "metadata": {
+  "category": "CRM",
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.3"
+  },
+  "skipNotebookInDeployment": false,
+  "title": "Customer Satisfaction Airlines"
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/CRM/Increase customer satisfaction/notebook.ipynb b/CRM/Increase customer satisfaction/notebook.ipynb
index 48d849e..b7f2400 100644
--- a/CRM/Increase customer satisfaction/notebook.ipynb	
+++ b/CRM/Increase customer satisfaction/notebook.ipynb	
@@ -1,3539 +1,3572 @@
 {
-    "cells": [
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "# 1. Business Understanding\n",
-                "\n",
-                "Aufgrund der gro\u00dfen Auswahl, die Netflix zu bieten hat, ist es f\u00fcr die Nutzer schwierig, geeignete Filme f\u00fcr sich zu finden. Die Suche in der Bibliothek nimmt viel Zeit in Anspruch und schafft ein schlechtes Nutzererlebnis, was wiederum zu h\u00f6heren Abbruchquoten f\u00fchrt.\n",
-                "Um die Abbruchquoten zu senken, muss gepr\u00fcft werden, ob die Kundenzufriedenheit durch die Anwendung von maschinellem Lernen in Bezug auf Filmempfehlungen erh\u00f6ht werden kann.\n",
-                "\n",
-                "\n",
-                "Der Datensatz enth\u00e4lt Filmdaten aus dem tmdb Dataset.\n",
-                "Finden Sie heraus, welche Faktoren auf der Grundlage der Daten \u00fcber die Beliebtheit oder Bewertung der Filme ergriffen werden k\u00f6nnen, um Strategien f\u00fcr das Unternehmen zu entwickeln.\n",
-                "Basierend auf dem obigen Gesch\u00e4ftsproblem definieren wir die abh\u00e4ngige Variable (y)\n",
-                "\n",
-                "Problem 1: y = Popularit\u00e4t / Voting-Durchschnitt (Regressionsproblem)"
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "# 2. Daten und Datenverst\u00e4ndnis\n",
-                "\n",
-                "Aus dem Datensatz ist ersichtlich, dass sowohl Zahlen als auch kategoriale Werte enthalten sind. Jede Kategorie bezieht sich auf den entsprechenden Film in der Zeile. So enth\u00e4lt beispielsweise die Spalte \"Crew\" mehrere Mitwirkende wie Autoren, Filmeditor usw., w\u00e4hrend \"Cast\" die Schauspieler enth\u00e4lt, die in den jeweiligen Filmen mitspielen. Au\u00dferdem hat jeder Film eine eindeutige ID, z. B. movie_id/id, die identisch ist und es erm\u00f6glicht, beide Datens\u00e4tze zu kombinieren. Alle Daten sind sehr verst\u00e4ndlich und selbsterkl\u00e4rend, und der Inhalt ist auf kaggle.com ausdr\u00fccklich beschrieben."
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "## 2.1 Import von relevanten Modulen"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 1,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "import numpy as np\n",
-                "import pandas as pd\n",
-                "import statsmodels.api as sm\n",
-                "import matplotlib.pyplot as plt\n",
-                "from sklearn.preprocessing import StandardScaler\n",
-                "from sklearn.model_selection import train_test_split\n",
-                "from sklearn.tree import DecisionTreeClassifier\n",
-                "from sklearn.linear_model import LogisticRegression\n",
-                "from sklearn.ensemble import RandomForestClassifier\n",
-                "from sklearn import metrics\n",
-                "from sklearn.linear_model import LinearRegression\n",
-                "from sklearn.metrics import confusion_matrix, classification_report\n",
-                "import seaborn as sns\n",
-                "sns.set()\n",
-                "\n",
-                "\n",
-                "# statsmodels ben\u00f6tigt diese Funktion (chisqprob) von skipy f\u00fcr Berichte\n",
-                "from scipy import stats\n",
-                "stats.chisqprob = lambda chisq, df: stats.chi2.sf(chisq, df)"
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "## 2.2 Daten einlesen"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 2,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "original_data = pd.read_csv('https://storage.googleapis.com/ml-service-repository-datastorage/Increase_customer_satisfaction_tmdb_5000_movies.csv')"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 3,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "original_data2 = pd.read_csv('https://storage.googleapis.com/ml-service-repository-datastorage/Increase_customer_satisfaction_tmdb_5000_credits.csv')"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 4,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "original_data = pd.merge(original_data, original_data2)"
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "### Datenverst\u00e4ndnis"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 5,
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "text/html": [
-                            "<div>\n",
-                            "<style scoped>\n",
-                            "    .dataframe tbody tr th:only-of-type {\n",
-                            "        vertical-align: middle;\n",
-                            "    }\n",
-                            "\n",
-                            "    .dataframe tbody tr th {\n",
-                            "        vertical-align: top;\n",
-                            "    }\n",
-                            "\n",
-                            "    .dataframe thead th {\n",
-                            "        text-align: right;\n",
-                            "    }\n",
-                            "</style>\n",
-                            "<table border=\"1\" class=\"dataframe\">\n",
-                            "  <thead>\n",
-                            "    <tr style=\"text-align: right;\">\n",
-                            "      <th></th>\n",
-                            "      <th>budget</th>\n",
-                            "      <th>genres</th>\n",
-                            "      <th>homepage</th>\n",
-                            "      <th>id</th>\n",
-                            "      <th>keywords</th>\n",
-                            "      <th>original_language</th>\n",
-                            "      <th>original_title</th>\n",
-                            "      <th>overview</th>\n",
-                            "      <th>popularity</th>\n",
-                            "      <th>production_companies</th>\n",
-                            "      <th>...</th>\n",
-                            "      <th>runtime</th>\n",
-                            "      <th>spoken_languages</th>\n",
-                            "      <th>status</th>\n",
-                            "      <th>tagline</th>\n",
-                            "      <th>title</th>\n",
-                            "      <th>vote_average</th>\n",
-                            "      <th>vote_count</th>\n",
-                            "      <th>movie_id</th>\n",
-                            "      <th>cast</th>\n",
-                            "      <th>crew</th>\n",
-                            "    </tr>\n",
-                            "  </thead>\n",
-                            "  <tbody>\n",
-                            "    <tr>\n",
-                            "      <th>0</th>\n",
-                            "      <td>237000000</td>\n",
-                            "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...</td>\n",
-                            "      <td>http://www.avatarmovie.com/</td>\n",
-                            "      <td>19995</td>\n",
-                            "      <td>[{\"id\": 1463, \"name\": \"culture clash\"}, {\"id\":...</td>\n",
-                            "      <td>en</td>\n",
-                            "      <td>Avatar</td>\n",
-                            "      <td>In the 22nd century, a paraplegic Marine is di...</td>\n",
-                            "      <td>150.437577</td>\n",
-                            "      <td>[{\"name\": \"Ingenious Film Partners\", \"id\": 289...</td>\n",
-                            "      <td>...</td>\n",
-                            "      <td>162.0</td>\n",
-                            "      <td>[{\"iso_639_1\": \"en\", \"name\": \"English\"}, {\"iso...</td>\n",
-                            "      <td>Released</td>\n",
-                            "      <td>Enter the World of Pandora.</td>\n",
-                            "      <td>Avatar</td>\n",
-                            "      <td>7.2</td>\n",
-                            "      <td>11800</td>\n",
-                            "      <td>19995</td>\n",
-                            "      <td>[{\"cast_id\": 242, \"character\": \"Jake Sully\", \"...</td>\n",
-                            "      <td>[{\"credit_id\": \"52fe48009251416c750aca23\", \"de...</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>1</th>\n",
-                            "      <td>300000000</td>\n",
-                            "      <td>[{\"id\": 12, \"name\": \"Adventure\"}, {\"id\": 14, \"...</td>\n",
-                            "      <td>http://disney.go.com/disneypictures/pirates/</td>\n",
-                            "      <td>285</td>\n",
-                            "      <td>[{\"id\": 270, \"name\": \"ocean\"}, {\"id\": 726, \"na...</td>\n",
-                            "      <td>en</td>\n",
-                            "      <td>Pirates of the Caribbean: At World's End</td>\n",
-                            "      <td>Captain Barbossa, long believed to be dead, ha...</td>\n",
-                            "      <td>139.082615</td>\n",
-                            "      <td>[{\"name\": \"Walt Disney Pictures\", \"id\": 2}, {\"...</td>\n",
-                            "      <td>...</td>\n",
-                            "      <td>169.0</td>\n",
-                            "      <td>[{\"iso_639_1\": \"en\", \"name\": \"English\"}]</td>\n",
-                            "      <td>Released</td>\n",
-                            "      <td>At the end of the world, the adventure begins.</td>\n",
-                            "      <td>Pirates of the Caribbean: At World's End</td>\n",
-                            "      <td>6.9</td>\n",
-                            "      <td>4500</td>\n",
-                            "      <td>285</td>\n",
-                            "      <td>[{\"cast_id\": 4, \"character\": \"Captain Jack Spa...</td>\n",
-                            "      <td>[{\"credit_id\": \"52fe4232c3a36847f800b579\", \"de...</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>2</th>\n",
-                            "      <td>245000000</td>\n",
-                            "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...</td>\n",
-                            "      <td>http://www.sonypictures.com/movies/spectre/</td>\n",
-                            "      <td>206647</td>\n",
-                            "      <td>[{\"id\": 470, \"name\": \"spy\"}, {\"id\": 818, \"name...</td>\n",
-                            "      <td>en</td>\n",
-                            "      <td>Spectre</td>\n",
-                            "      <td>A cryptic message from Bond\u2019s past sends him o...</td>\n",
-                            "      <td>107.376788</td>\n",
-                            "      <td>[{\"name\": \"Columbia Pictures\", \"id\": 5}, {\"nam...</td>\n",
-                            "      <td>...</td>\n",
-                            "      <td>148.0</td>\n",
-                            "      <td>[{\"iso_639_1\": \"fr\", \"name\": \"Fran\\u00e7ais\"},...</td>\n",
-                            "      <td>Released</td>\n",
-                            "      <td>A Plan No One Escapes</td>\n",
-                            "      <td>Spectre</td>\n",
-                            "      <td>6.3</td>\n",
-                            "      <td>4466</td>\n",
-                            "      <td>206647</td>\n",
-                            "      <td>[{\"cast_id\": 1, \"character\": \"James Bond\", \"cr...</td>\n",
-                            "      <td>[{\"credit_id\": \"54805967c3a36829b5002c41\", \"de...</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>3</th>\n",
-                            "      <td>250000000</td>\n",
-                            "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 80, \"nam...</td>\n",
-                            "      <td>http://www.thedarkknightrises.com/</td>\n",
-                            "      <td>49026</td>\n",
-                            "      <td>[{\"id\": 849, \"name\": \"dc comics\"}, {\"id\": 853,...</td>\n",
-                            "      <td>en</td>\n",
-                            "      <td>The Dark Knight Rises</td>\n",
-                            "      <td>Following the death of District Attorney Harve...</td>\n",
-                            "      <td>112.312950</td>\n",
-                            "      <td>[{\"name\": \"Legendary Pictures\", \"id\": 923}, {\"...</td>\n",
-                            "      <td>...</td>\n",
-                            "      <td>165.0</td>\n",
-                            "      <td>[{\"iso_639_1\": \"en\", \"name\": \"English\"}]</td>\n",
-                            "      <td>Released</td>\n",
-                            "      <td>The Legend Ends</td>\n",
-                            "      <td>The Dark Knight Rises</td>\n",
-                            "      <td>7.6</td>\n",
-                            "      <td>9106</td>\n",
-                            "      <td>49026</td>\n",
-                            "      <td>[{\"cast_id\": 2, \"character\": \"Bruce Wayne / Ba...</td>\n",
-                            "      <td>[{\"credit_id\": \"52fe4781c3a36847f81398c3\", \"de...</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>4</th>\n",
-                            "      <td>260000000</td>\n",
-                            "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...</td>\n",
-                            "      <td>http://movies.disney.com/john-carter</td>\n",
-                            "      <td>49529</td>\n",
-                            "      <td>[{\"id\": 818, \"name\": \"based on novel\"}, {\"id\":...</td>\n",
-                            "      <td>en</td>\n",
-                            "      <td>John Carter</td>\n",
-                            "      <td>John Carter is a war-weary, former military ca...</td>\n",
-                            "      <td>43.926995</td>\n",
-                            "      <td>[{\"name\": \"Walt Disney Pictures\", \"id\": 2}]</td>\n",
-                            "      <td>...</td>\n",
-                            "      <td>132.0</td>\n",
-                            "      <td>[{\"iso_639_1\": \"en\", \"name\": \"English\"}]</td>\n",
-                            "      <td>Released</td>\n",
-                            "      <td>Lost in our world, found in another.</td>\n",
-                            "      <td>John Carter</td>\n",
-                            "      <td>6.1</td>\n",
-                            "      <td>2124</td>\n",
-                            "      <td>49529</td>\n",
-                            "      <td>[{\"cast_id\": 5, \"character\": \"John Carter\", \"c...</td>\n",
-                            "      <td>[{\"credit_id\": \"52fe479ac3a36847f813eaa3\", \"de...</td>\n",
-                            "    </tr>\n",
-                            "  </tbody>\n",
-                            "</table>\n",
-                            "<p>5 rows \u00d7 23 columns</p>\n",
-                            "</div>"
-                        ],
-                        "text/plain": [
-                            "      budget                                             genres  \\\n",
-                            "0  237000000  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...   \n",
-                            "1  300000000  [{\"id\": 12, \"name\": \"Adventure\"}, {\"id\": 14, \"...   \n",
-                            "2  245000000  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...   \n",
-                            "3  250000000  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 80, \"nam...   \n",
-                            "4  260000000  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...   \n",
-                            "\n",
-                            "                                       homepage      id  \\\n",
-                            "0                   http://www.avatarmovie.com/   19995   \n",
-                            "1  http://disney.go.com/disneypictures/pirates/     285   \n",
-                            "2   http://www.sonypictures.com/movies/spectre/  206647   \n",
-                            "3            http://www.thedarkknightrises.com/   49026   \n",
-                            "4          http://movies.disney.com/john-carter   49529   \n",
-                            "\n",
-                            "                                            keywords original_language  \\\n",
-                            "0  [{\"id\": 1463, \"name\": \"culture clash\"}, {\"id\":...                en   \n",
-                            "1  [{\"id\": 270, \"name\": \"ocean\"}, {\"id\": 726, \"na...                en   \n",
-                            "2  [{\"id\": 470, \"name\": \"spy\"}, {\"id\": 818, \"name...                en   \n",
-                            "3  [{\"id\": 849, \"name\": \"dc comics\"}, {\"id\": 853,...                en   \n",
-                            "4  [{\"id\": 818, \"name\": \"based on novel\"}, {\"id\":...                en   \n",
-                            "\n",
-                            "                             original_title  \\\n",
-                            "0                                    Avatar   \n",
-                            "1  Pirates of the Caribbean: At World's End   \n",
-                            "2                                   Spectre   \n",
-                            "3                     The Dark Knight Rises   \n",
-                            "4                               John Carter   \n",
-                            "\n",
-                            "                                            overview  popularity  \\\n",
-                            "0  In the 22nd century, a paraplegic Marine is di...  150.437577   \n",
-                            "1  Captain Barbossa, long believed to be dead, ha...  139.082615   \n",
-                            "2  A cryptic message from Bond\u2019s past sends him o...  107.376788   \n",
-                            "3  Following the death of District Attorney Harve...  112.312950   \n",
-                            "4  John Carter is a war-weary, former military ca...   43.926995   \n",
-                            "\n",
-                            "                                production_companies  ... runtime  \\\n",
-                            "0  [{\"name\": \"Ingenious Film Partners\", \"id\": 289...  ...   162.0   \n",
-                            "1  [{\"name\": \"Walt Disney Pictures\", \"id\": 2}, {\"...  ...   169.0   \n",
-                            "2  [{\"name\": \"Columbia Pictures\", \"id\": 5}, {\"nam...  ...   148.0   \n",
-                            "3  [{\"name\": \"Legendary Pictures\", \"id\": 923}, {\"...  ...   165.0   \n",
-                            "4        [{\"name\": \"Walt Disney Pictures\", \"id\": 2}]  ...   132.0   \n",
-                            "\n",
-                            "                                    spoken_languages    status  \\\n",
-                            "0  [{\"iso_639_1\": \"en\", \"name\": \"English\"}, {\"iso...  Released   \n",
-                            "1           [{\"iso_639_1\": \"en\", \"name\": \"English\"}]  Released   \n",
-                            "2  [{\"iso_639_1\": \"fr\", \"name\": \"Fran\\u00e7ais\"},...  Released   \n",
-                            "3           [{\"iso_639_1\": \"en\", \"name\": \"English\"}]  Released   \n",
-                            "4           [{\"iso_639_1\": \"en\", \"name\": \"English\"}]  Released   \n",
-                            "\n",
-                            "                                          tagline  \\\n",
-                            "0                     Enter the World of Pandora.   \n",
-                            "1  At the end of the world, the adventure begins.   \n",
-                            "2                           A Plan No One Escapes   \n",
-                            "3                                 The Legend Ends   \n",
-                            "4            Lost in our world, found in another.   \n",
-                            "\n",
-                            "                                      title vote_average vote_count movie_id  \\\n",
-                            "0                                    Avatar          7.2      11800    19995   \n",
-                            "1  Pirates of the Caribbean: At World's End          6.9       4500      285   \n",
-                            "2                                   Spectre          6.3       4466   206647   \n",
-                            "3                     The Dark Knight Rises          7.6       9106    49026   \n",
-                            "4                               John Carter          6.1       2124    49529   \n",
-                            "\n",
-                            "                                                cast  \\\n",
-                            "0  [{\"cast_id\": 242, \"character\": \"Jake Sully\", \"...   \n",
-                            "1  [{\"cast_id\": 4, \"character\": \"Captain Jack Spa...   \n",
-                            "2  [{\"cast_id\": 1, \"character\": \"James Bond\", \"cr...   \n",
-                            "3  [{\"cast_id\": 2, \"character\": \"Bruce Wayne / Ba...   \n",
-                            "4  [{\"cast_id\": 5, \"character\": \"John Carter\", \"c...   \n",
-                            "\n",
-                            "                                                crew  \n",
-                            "0  [{\"credit_id\": \"52fe48009251416c750aca23\", \"de...  \n",
-                            "1  [{\"credit_id\": \"52fe4232c3a36847f800b579\", \"de...  \n",
-                            "2  [{\"credit_id\": \"54805967c3a36829b5002c41\", \"de...  \n",
-                            "3  [{\"credit_id\": \"52fe4781c3a36847f81398c3\", \"de...  \n",
-                            "4  [{\"credit_id\": \"52fe479ac3a36847f813eaa3\", \"de...  \n",
-                            "\n",
-                            "[5 rows x 23 columns]"
-                        ]
-                    },
-                    "execution_count": 5,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                }
-            ],
-            "source": [
-                "original_data.head()"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 6,
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
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-                            "  <thead>\n",
-                            "    <tr style=\"text-align: right;\">\n",
-                            "      <th></th>\n",
-                            "      <th>budget</th>\n",
-                            "      <th>genres</th>\n",
-                            "      <th>homepage</th>\n",
-                            "      <th>id</th>\n",
-                            "      <th>keywords</th>\n",
-                            "      <th>original_language</th>\n",
-                            "      <th>original_title</th>\n",
-                            "      <th>overview</th>\n",
-                            "      <th>popularity</th>\n",
-                            "      <th>production_companies</th>\n",
-                            "      <th>...</th>\n",
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-                            "      <th>spoken_languages</th>\n",
-                            "      <th>status</th>\n",
-                            "      <th>tagline</th>\n",
-                            "      <th>title</th>\n",
-                            "      <th>vote_average</th>\n",
-                            "      <th>vote_count</th>\n",
-                            "      <th>movie_id</th>\n",
-                            "      <th>cast</th>\n",
-                            "      <th>crew</th>\n",
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-                            "  </thead>\n",
-                            "  <tbody>\n",
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-                            "      <th>count</th>\n",
-                            "      <td>4.809000e+03</td>\n",
-                            "      <td>4809</td>\n",
-                            "      <td>1713</td>\n",
-                            "      <td>4809.000000</td>\n",
-                            "      <td>4809</td>\n",
-                            "      <td>4809</td>\n",
-                            "      <td>4809</td>\n",
-                            "      <td>4806</td>\n",
-                            "      <td>4809.000000</td>\n",
-                            "      <td>4809</td>\n",
-                            "      <td>...</td>\n",
-                            "      <td>4807.000000</td>\n",
-                            "      <td>4809</td>\n",
-                            "      <td>4809</td>\n",
-                            "      <td>3965</td>\n",
-                            "      <td>4809</td>\n",
-                            "      <td>4809.000000</td>\n",
-                            "      <td>4809.000000</td>\n",
-                            "      <td>4809.000000</td>\n",
-                            "      <td>4809</td>\n",
-                            "      <td>4809</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>unique</th>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>1175</td>\n",
-                            "      <td>1691</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>4222</td>\n",
-                            "      <td>37</td>\n",
-                            "      <td>4801</td>\n",
-                            "      <td>4800</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>3697</td>\n",
-                            "      <td>...</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>544</td>\n",
-                            "      <td>3</td>\n",
-                            "      <td>3944</td>\n",
-                            "      <td>4800</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>4761</td>\n",
-                            "      <td>4776</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>top</th>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>[{\"id\": 18, \"name\": \"Drama\"}]</td>\n",
-                            "      <td>http://www.missionimpossible.com/</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>[]</td>\n",
-                            "      <td>en</td>\n",
-                            "      <td>Out of the Blue</td>\n",
-                            "      <td>Dennis Hopper is a hard-drinking truck driver ...</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>[]</td>\n",
-                            "      <td>...</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>[{\"iso_639_1\": \"en\", \"name\": \"English\"}]</td>\n",
-                            "      <td>Released</td>\n",
-                            "      <td>Based on a true story.</td>\n",
-                            "      <td>Out of the Blue</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>[]</td>\n",
-                            "      <td>[]</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>freq</th>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>372</td>\n",
-                            "      <td>4</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>412</td>\n",
-                            "      <td>4510</td>\n",
-                            "      <td>4</td>\n",
-                            "      <td>2</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>352</td>\n",
-                            "      <td>...</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>3175</td>\n",
-                            "      <td>4801</td>\n",
-                            "      <td>3</td>\n",
-                            "      <td>4</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>43</td>\n",
-                            "      <td>28</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>mean</th>\n",
-                            "      <td>2.902780e+07</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>57120.571429</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>21.491664</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>...</td>\n",
-                            "      <td>106.882255</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>6.092514</td>\n",
-                            "      <td>690.331670</td>\n",
-                            "      <td>57120.571429</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>std</th>\n",
-                            "      <td>4.070473e+07</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>88653.369849</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>31.803366</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>...</td>\n",
-                            "      <td>22.602535</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>1.193989</td>\n",
-                            "      <td>1234.187111</td>\n",
-                            "      <td>88653.369849</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>min</th>\n",
-                            "      <td>0.000000e+00</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>5.000000</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>...</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>5.000000</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>25%</th>\n",
-                            "      <td>7.800000e+05</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>9012.000000</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>4.667230</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>...</td>\n",
-                            "      <td>94.000000</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>5.600000</td>\n",
-                            "      <td>54.000000</td>\n",
-                            "      <td>9012.000000</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>50%</th>\n",
-                            "      <td>1.500000e+07</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>14624.000000</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>12.921594</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>...</td>\n",
-                            "      <td>103.000000</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>6.200000</td>\n",
-                            "      <td>235.000000</td>\n",
-                            "      <td>14624.000000</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>75%</th>\n",
-                            "      <td>4.000000e+07</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>58595.000000</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>28.350529</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>...</td>\n",
-                            "      <td>118.000000</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>6.800000</td>\n",
-                            "      <td>737.000000</td>\n",
-                            "      <td>58595.000000</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>max</th>\n",
-                            "      <td>3.800000e+08</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>459488.000000</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>875.581305</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>...</td>\n",
-                            "      <td>338.000000</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>10.000000</td>\n",
-                            "      <td>13752.000000</td>\n",
-                            "      <td>459488.000000</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "    </tr>\n",
-                            "  </tbody>\n",
-                            "</table>\n",
-                            "<p>11 rows \u00d7 23 columns</p>\n",
-                            "</div>"
-                        ],
-                        "text/plain": [
-                            "              budget                         genres  \\\n",
-                            "count   4.809000e+03                           4809   \n",
-                            "unique           NaN                           1175   \n",
-                            "top              NaN  [{\"id\": 18, \"name\": \"Drama\"}]   \n",
-                            "freq             NaN                            372   \n",
-                            "mean    2.902780e+07                            NaN   \n",
-                            "std     4.070473e+07                            NaN   \n",
-                            "min     0.000000e+00                            NaN   \n",
-                            "25%     7.800000e+05                            NaN   \n",
-                            "50%     1.500000e+07                            NaN   \n",
-                            "75%     4.000000e+07                            NaN   \n",
-                            "max     3.800000e+08                            NaN   \n",
-                            "\n",
-                            "                                 homepage             id keywords  \\\n",
-                            "count                                1713    4809.000000     4809   \n",
-                            "unique                               1691            NaN     4222   \n",
-                            "top     http://www.missionimpossible.com/            NaN       []   \n",
-                            "freq                                    4            NaN      412   \n",
-                            "mean                                  NaN   57120.571429      NaN   \n",
-                            "std                                   NaN   88653.369849      NaN   \n",
-                            "min                                   NaN       5.000000      NaN   \n",
-                            "25%                                   NaN    9012.000000      NaN   \n",
-                            "50%                                   NaN   14624.000000      NaN   \n",
-                            "75%                                   NaN   58595.000000      NaN   \n",
-                            "max                                   NaN  459488.000000      NaN   \n",
-                            "\n",
-                            "       original_language   original_title  \\\n",
-                            "count               4809             4809   \n",
-                            "unique                37             4801   \n",
-                            "top                   en  Out of the Blue   \n",
-                            "freq                4510                4   \n",
-                            "mean                 NaN              NaN   \n",
-                            "std                  NaN              NaN   \n",
-                            "min                  NaN              NaN   \n",
-                            "25%                  NaN              NaN   \n",
-                            "50%                  NaN              NaN   \n",
-                            "75%                  NaN              NaN   \n",
-                            "max                  NaN              NaN   \n",
-                            "\n",
-                            "                                                 overview   popularity  \\\n",
-                            "count                                                4806  4809.000000   \n",
-                            "unique                                               4800          NaN   \n",
-                            "top     Dennis Hopper is a hard-drinking truck driver ...          NaN   \n",
-                            "freq                                                    2          NaN   \n",
-                            "mean                                                  NaN    21.491664   \n",
-                            "std                                                   NaN    31.803366   \n",
-                            "min                                                   NaN     0.000000   \n",
-                            "25%                                                   NaN     4.667230   \n",
-                            "50%                                                   NaN    12.921594   \n",
-                            "75%                                                   NaN    28.350529   \n",
-                            "max                                                   NaN   875.581305   \n",
-                            "\n",
-                            "       production_companies  ...      runtime  \\\n",
-                            "count                  4809  ...  4807.000000   \n",
-                            "unique                 3697  ...          NaN   \n",
-                            "top                      []  ...          NaN   \n",
-                            "freq                    352  ...          NaN   \n",
-                            "mean                    NaN  ...   106.882255   \n",
-                            "std                     NaN  ...    22.602535   \n",
-                            "min                     NaN  ...     0.000000   \n",
-                            "25%                     NaN  ...    94.000000   \n",
-                            "50%                     NaN  ...   103.000000   \n",
-                            "75%                     NaN  ...   118.000000   \n",
-                            "max                     NaN  ...   338.000000   \n",
-                            "\n",
-                            "                                spoken_languages    status  \\\n",
-                            "count                                       4809      4809   \n",
-                            "unique                                       544         3   \n",
-                            "top     [{\"iso_639_1\": \"en\", \"name\": \"English\"}]  Released   \n",
-                            "freq                                        3175      4801   \n",
-                            "mean                                         NaN       NaN   \n",
-                            "std                                          NaN       NaN   \n",
-                            "min                                          NaN       NaN   \n",
-                            "25%                                          NaN       NaN   \n",
-                            "50%                                          NaN       NaN   \n",
-                            "75%                                          NaN       NaN   \n",
-                            "max                                          NaN       NaN   \n",
-                            "\n",
-                            "                       tagline            title vote_average    vote_count  \\\n",
-                            "count                     3965             4809  4809.000000   4809.000000   \n",
-                            "unique                    3944             4800          NaN           NaN   \n",
-                            "top     Based on a true story.  Out of the Blue          NaN           NaN   \n",
-                            "freq                         3                4          NaN           NaN   \n",
-                            "mean                       NaN              NaN     6.092514    690.331670   \n",
-                            "std                        NaN              NaN     1.193989   1234.187111   \n",
-                            "min                        NaN              NaN     0.000000      0.000000   \n",
-                            "25%                        NaN              NaN     5.600000     54.000000   \n",
-                            "50%                        NaN              NaN     6.200000    235.000000   \n",
-                            "75%                        NaN              NaN     6.800000    737.000000   \n",
-                            "max                        NaN              NaN    10.000000  13752.000000   \n",
-                            "\n",
-                            "             movie_id  cast  crew  \n",
-                            "count     4809.000000  4809  4809  \n",
-                            "unique            NaN  4761  4776  \n",
-                            "top               NaN    []    []  \n",
-                            "freq              NaN    43    28  \n",
-                            "mean     57120.571429   NaN   NaN  \n",
-                            "std      88653.369849   NaN   NaN  \n",
-                            "min          5.000000   NaN   NaN  \n",
-                            "25%       9012.000000   NaN   NaN  \n",
-                            "50%      14624.000000   NaN   NaN  \n",
-                            "75%      58595.000000   NaN   NaN  \n",
-                            "max     459488.000000   NaN   NaN  \n",
-                            "\n",
-                            "[11 rows x 23 columns]"
-                        ]
-                    },
-                    "execution_count": 6,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                }
-            ],
-            "source": [
-                "original_data.describe(include=\"all\")"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 7,
-            "metadata": {},
-            "outputs": [
-                {
-                    "name": "stdout",
-                    "output_type": "stream",
-                    "text": [
-                        "<class 'pandas.core.frame.DataFrame'>\n",
-                        "Int64Index: 4809 entries, 0 to 4808\n",
-                        "Data columns (total 23 columns):\n",
-                        " #   Column                Non-Null Count  Dtype  \n",
-                        "---  ------                --------------  -----  \n",
-                        " 0   budget                4809 non-null   int64  \n",
-                        " 1   genres                4809 non-null   object \n",
-                        " 2   homepage              1713 non-null   object \n",
-                        " 3   id                    4809 non-null   int64  \n",
-                        " 4   keywords              4809 non-null   object \n",
-                        " 5   original_language     4809 non-null   object \n",
-                        " 6   original_title        4809 non-null   object \n",
-                        " 7   overview              4806 non-null   object \n",
-                        " 8   popularity            4809 non-null   float64\n",
-                        " 9   production_companies  4809 non-null   object \n",
-                        " 10  production_countries  4809 non-null   object \n",
-                        " 11  release_date          4808 non-null   object \n",
-                        " 12  revenue               4809 non-null   int64  \n",
-                        " 13  runtime               4807 non-null   float64\n",
-                        " 14  spoken_languages      4809 non-null   object \n",
-                        " 15  status                4809 non-null   object \n",
-                        " 16  tagline               3965 non-null   object \n",
-                        " 17  title                 4809 non-null   object \n",
-                        " 18  vote_average          4809 non-null   float64\n",
-                        " 19  vote_count            4809 non-null   int64  \n",
-                        " 20  movie_id              4809 non-null   int64  \n",
-                        " 21  cast                  4809 non-null   object \n",
-                        " 22  crew                  4809 non-null   object \n",
-                        "dtypes: float64(3), int64(5), object(15)\n",
-                        "memory usage: 901.7+ KB\n"
-                    ]
-                }
-            ],
-            "source": [
-                "original_data.info()"
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "## 2.3 Datenbereinigung"
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "###  Auf Nullwerte pr\u00fcfen"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 8,
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "text/plain": [
-                            "budget                     0\n",
-                            "genres                     0\n",
-                            "homepage                3096\n",
-                            "id                         0\n",
-                            "keywords                   0\n",
-                            "original_language          0\n",
-                            "original_title             0\n",
-                            "overview                   3\n",
-                            "popularity                 0\n",
-                            "production_companies       0\n",
-                            "production_countries       0\n",
-                            "release_date               1\n",
-                            "revenue                    0\n",
-                            "runtime                    2\n",
-                            "spoken_languages           0\n",
-                            "status                     0\n",
-                            "tagline                  844\n",
-                            "title                      0\n",
-                            "vote_average               0\n",
-                            "vote_count                 0\n",
-                            "movie_id                   0\n",
-                            "cast                       0\n",
-                            "crew                       0\n",
-                            "dtype: int64"
-                        ]
-                    },
-                    "execution_count": 8,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                }
-            ],
-            "source": [
-                "original_data.isnull().sum()"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 9,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "df_wo_null = original_data.dropna(axis=0)"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 10,
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "text/plain": [
-                            "budget                  0\n",
-                            "genres                  0\n",
-                            "homepage                0\n",
-                            "id                      0\n",
-                            "keywords                0\n",
-                            "original_language       0\n",
-                            "original_title          0\n",
-                            "overview                0\n",
-                            "popularity              0\n",
-                            "production_companies    0\n",
-                            "production_countries    0\n",
-                            "release_date            0\n",
-                            "revenue                 0\n",
-                            "runtime                 0\n",
-                            "spoken_languages        0\n",
-                            "status                  0\n",
-                            "tagline                 0\n",
-                            "title                   0\n",
-                            "vote_average            0\n",
-                            "vote_count              0\n",
-                            "movie_id                0\n",
-                            "cast                    0\n",
-                            "crew                    0\n",
-                            "dtype: int64"
-                        ]
-                    },
-                    "execution_count": 10,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                }
-            ],
-            "source": [
-                "df_wo_null.isnull().sum()"
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "### Auf Duplikate pr\u00fcfen"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 11,
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "text/html": [
-                            "<div>\n",
-                            "<style scoped>\n",
-                            "    .dataframe tbody tr th:only-of-type {\n",
-                            "        vertical-align: middle;\n",
-                            "    }\n",
-                            "\n",
-                            "    .dataframe tbody tr th {\n",
-                            "        vertical-align: top;\n",
-                            "    }\n",
-                            "\n",
-                            "    .dataframe thead th {\n",
-                            "        text-align: right;\n",
-                            "    }\n",
-                            "</style>\n",
-                            "<table border=\"1\" class=\"dataframe\">\n",
-                            "  <thead>\n",
-                            "    <tr style=\"text-align: right;\">\n",
-                            "      <th></th>\n",
-                            "      <th>budget</th>\n",
-                            "      <th>genres</th>\n",
-                            "      <th>homepage</th>\n",
-                            "      <th>id</th>\n",
-                            "      <th>keywords</th>\n",
-                            "      <th>original_language</th>\n",
-                            "      <th>original_title</th>\n",
-                            "      <th>overview</th>\n",
-                            "      <th>popularity</th>\n",
-                            "      <th>production_companies</th>\n",
-                            "      <th>...</th>\n",
-                            "      <th>runtime</th>\n",
-                            "      <th>spoken_languages</th>\n",
-                            "      <th>status</th>\n",
-                            "      <th>tagline</th>\n",
-                            "      <th>title</th>\n",
-                            "      <th>vote_average</th>\n",
-                            "      <th>vote_count</th>\n",
-                            "      <th>movie_id</th>\n",
-                            "      <th>cast</th>\n",
-                            "      <th>crew</th>\n",
-                            "    </tr>\n",
-                            "  </thead>\n",
-                            "  <tbody>\n",
-                            "  </tbody>\n",
-                            "</table>\n",
-                            "<p>0 rows \u00d7 23 columns</p>\n",
-                            "</div>"
-                        ],
-                        "text/plain": [
-                            "Empty DataFrame\n",
-                            "Columns: [budget, genres, homepage, id, keywords, original_language, original_title, overview, popularity, production_companies, production_countries, release_date, revenue, runtime, spoken_languages, status, tagline, title, vote_average, vote_count, movie_id, cast, crew]\n",
-                            "Index: []\n",
-                            "\n",
-                            "[0 rows x 23 columns]"
-                        ]
-                    },
-                    "execution_count": 11,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                }
-            ],
-            "source": [
-                "df_wo_null[df_wo_null.duplicated(keep=False)]"
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "## 2.4 Test auf Multikollinearit\u00e4t"
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "Keine nicht-signifikanten Variablen mehr. Das endg\u00fcltige Modell wird erstellt."
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 12,
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "image/png": 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",
-                        "text/plain": [
-                            "<Figure size 1296x1296 with 2 Axes>"
-                        ]
-                    },
-                    "metadata": {},
-                    "output_type": "display_data"
-                }
-            ],
-            "source": [
-                "f,ax=plt.subplots(figsize = (18,18))\n",
-                "sns.heatmap(df_wo_null.corr(),annot= True,linewidths=0.5,fmt = \".1f\",ax=ax)\n",
-                "plt.xticks(rotation=90)\n",
-                "plt.yticks(rotation=0)\n",
-                "plt.title('Correlation Map')\n",
-                "plt.show()"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 13,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "df_wo_null = df_wo_null.drop(['tagline', 'homepage', 'id', 'movie_id'], axis = 1)"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 14,
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "image/png": 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",
-                        "text/plain": [
-                            "<Figure size 1296x1296 with 2 Axes>"
-                        ]
-                    },
-                    "metadata": {},
-                    "output_type": "display_data"
-                }
-            ],
-            "source": [
-                "f,ax=plt.subplots(figsize = (18,18))\n",
-                "sns.heatmap(df_wo_null.corr(),annot= True,linewidths=0.5,fmt = \".1f\",ax=ax)\n",
-                "plt.xticks(rotation=90)\n",
-                "plt.yticks(rotation=0)\n",
-                "plt.title('Correlation Map')\n",
-                "plt.show()"
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "## 2.5 Deskriptive Analysise "
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 15,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "df_wo_null = df_wo_null.drop(['status', 'original_title', 'overview'], axis = 1)"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 16,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "df_wo_null = df_wo_null.drop(['production_countries', 'original_language', 'crew', 'spoken_languages'], axis = 1)"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 17,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "df_wo_null = df_wo_null.drop(['runtime', 'keywords', 'vote_average', 'budget'], axis = 1)"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 18,
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "text/html": [
-                            "<div>\n",
-                            "<style scoped>\n",
-                            "    .dataframe tbody tr th:only-of-type {\n",
-                            "        vertical-align: middle;\n",
-                            "    }\n",
-                            "\n",
-                            "    .dataframe tbody tr th {\n",
-                            "        vertical-align: top;\n",
-                            "    }\n",
-                            "\n",
-                            "    .dataframe thead th {\n",
-                            "        text-align: right;\n",
-                            "    }\n",
-                            "</style>\n",
-                            "<table border=\"1\" class=\"dataframe\">\n",
-                            "  <thead>\n",
-                            "    <tr style=\"text-align: right;\">\n",
-                            "      <th></th>\n",
-                            "      <th>genres</th>\n",
-                            "      <th>popularity</th>\n",
-                            "      <th>production_companies</th>\n",
-                            "      <th>release_date</th>\n",
-                            "      <th>revenue</th>\n",
-                            "      <th>title</th>\n",
-                            "      <th>vote_count</th>\n",
-                            "      <th>cast</th>\n",
-                            "    </tr>\n",
-                            "  </thead>\n",
-                            "  <tbody>\n",
-                            "    <tr>\n",
-                            "      <th>0</th>\n",
-                            "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...</td>\n",
-                            "      <td>150.437577</td>\n",
-                            "      <td>[{\"name\": \"Ingenious Film Partners\", \"id\": 289...</td>\n",
-                            "      <td>2009-12-10</td>\n",
-                            "      <td>2787965087</td>\n",
-                            "      <td>Avatar</td>\n",
-                            "      <td>11800</td>\n",
-                            "      <td>[{\"cast_id\": 242, \"character\": \"Jake Sully\", \"...</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>1</th>\n",
-                            "      <td>[{\"id\": 12, \"name\": \"Adventure\"}, {\"id\": 14, \"...</td>\n",
-                            "      <td>139.082615</td>\n",
-                            "      <td>[{\"name\": \"Walt Disney Pictures\", \"id\": 2}, {\"...</td>\n",
-                            "      <td>2007-05-19</td>\n",
-                            "      <td>961000000</td>\n",
-                            "      <td>Pirates of the Caribbean: At World's End</td>\n",
-                            "      <td>4500</td>\n",
-                            "      <td>[{\"cast_id\": 4, \"character\": \"Captain Jack Spa...</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>2</th>\n",
-                            "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...</td>\n",
-                            "      <td>107.376788</td>\n",
-                            "      <td>[{\"name\": \"Columbia Pictures\", \"id\": 5}, {\"nam...</td>\n",
-                            "      <td>2015-10-26</td>\n",
-                            "      <td>880674609</td>\n",
-                            "      <td>Spectre</td>\n",
-                            "      <td>4466</td>\n",
-                            "      <td>[{\"cast_id\": 1, \"character\": \"James Bond\", \"cr...</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>3</th>\n",
-                            "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 80, \"nam...</td>\n",
-                            "      <td>112.312950</td>\n",
-                            "      <td>[{\"name\": \"Legendary Pictures\", \"id\": 923}, {\"...</td>\n",
-                            "      <td>2012-07-16</td>\n",
-                            "      <td>1084939099</td>\n",
-                            "      <td>The Dark Knight Rises</td>\n",
-                            "      <td>9106</td>\n",
-                            "      <td>[{\"cast_id\": 2, \"character\": \"Bruce Wayne / Ba...</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>4</th>\n",
-                            "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...</td>\n",
-                            "      <td>43.926995</td>\n",
-                            "      <td>[{\"name\": \"Walt Disney Pictures\", \"id\": 2}]</td>\n",
-                            "      <td>2012-03-07</td>\n",
-                            "      <td>284139100</td>\n",
-                            "      <td>John Carter</td>\n",
-                            "      <td>2124</td>\n",
-                            "      <td>[{\"cast_id\": 5, \"character\": \"John Carter\", \"c...</td>\n",
-                            "    </tr>\n",
-                            "  </tbody>\n",
-                            "</table>\n",
-                            "</div>"
-                        ],
-                        "text/plain": [
-                            "                                              genres  popularity  \\\n",
-                            "0  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...  150.437577   \n",
-                            "1  [{\"id\": 12, \"name\": \"Adventure\"}, {\"id\": 14, \"...  139.082615   \n",
-                            "2  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...  107.376788   \n",
-                            "3  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 80, \"nam...  112.312950   \n",
-                            "4  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...   43.926995   \n",
-                            "\n",
-                            "                                production_companies release_date     revenue  \\\n",
-                            "0  [{\"name\": \"Ingenious Film Partners\", \"id\": 289...   2009-12-10  2787965087   \n",
-                            "1  [{\"name\": \"Walt Disney Pictures\", \"id\": 2}, {\"...   2007-05-19   961000000   \n",
-                            "2  [{\"name\": \"Columbia Pictures\", \"id\": 5}, {\"nam...   2015-10-26   880674609   \n",
-                            "3  [{\"name\": \"Legendary Pictures\", \"id\": 923}, {\"...   2012-07-16  1084939099   \n",
-                            "4        [{\"name\": \"Walt Disney Pictures\", \"id\": 2}]   2012-03-07   284139100   \n",
-                            "\n",
-                            "                                      title  vote_count  \\\n",
-                            "0                                    Avatar       11800   \n",
-                            "1  Pirates of the Caribbean: At World's End        4500   \n",
-                            "2                                   Spectre        4466   \n",
-                            "3                     The Dark Knight Rises        9106   \n",
-                            "4                               John Carter        2124   \n",
-                            "\n",
-                            "                                                cast  \n",
-                            "0  [{\"cast_id\": 242, \"character\": \"Jake Sully\", \"...  \n",
-                            "1  [{\"cast_id\": 4, \"character\": \"Captain Jack Spa...  \n",
-                            "2  [{\"cast_id\": 1, \"character\": \"James Bond\", \"cr...  \n",
-                            "3  [{\"cast_id\": 2, \"character\": \"Bruce Wayne / Ba...  \n",
-                            "4  [{\"cast_id\": 5, \"character\": \"John Carter\", \"c...  "
-                        ]
-                    },
-                    "execution_count": 18,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                }
-            ],
-            "source": [
-                "df_wo_null.head()"
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "# 3. Datenaufbereitung"
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "## 3.1 Erfassung kategorialer Variablen"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 19,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "df_wo_null['genre1'] = df_wo_null['genres'].str.split(',').str[1]"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 20,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "df_wo_null['genre1'] = df_wo_null['genre1'].str.split(':').str[1]"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 21,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "df_wo_null['genre1'] = df_wo_null['genre1'].str.split('\"').str[1]"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 22,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "df_wo_null['genre2'] = df_wo_null['genres'].str.split(',').str[3]"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 23,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "df_wo_null['genre2'] = df_wo_null['genre2'].str.split(':').str[1]"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 24,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "df_wo_null['genre2'] = df_wo_null['genre2'].str.split('\"').str[1]"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 25,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "df_1 = df_wo_null.drop(['genres'], axis = 1)"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 26,
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "text/plain": [
-                            "popularity                0\n",
-                            "production_companies      0\n",
-                            "release_date              0\n",
-                            "revenue                   0\n",
-                            "title                     0\n",
-                            "vote_count                0\n",
-                            "cast                      0\n",
-                            "genre1                    2\n",
-                            "genre2                  232\n",
-                            "dtype: int64"
-                        ]
-                    },
-                    "execution_count": 26,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                }
-            ],
-            "source": [
-                "df_1.isnull().sum()"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 27,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "df_1[\"new_genres\"] = df_1[\"genre1\"] +\",\"+ df_1[\"genre2\"]"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 28,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "df_2 = df_1.drop(['genre1', 'genre2'], axis = 1)"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 29,
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "text/plain": [
-                            "popularity                0\n",
-                            "production_companies      0\n",
-                            "release_date              0\n",
-                            "revenue                   0\n",
-                            "title                     0\n",
-                            "vote_count                0\n",
-                            "cast                      0\n",
-                            "new_genres              232\n",
-                            "dtype: int64"
-                        ]
-                    },
-                    "execution_count": 29,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                }
-            ],
-            "source": [
-                "df_2.isnull().sum()"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 30,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "df_2 = df_2.dropna(axis=0)"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 31,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "df_2['year'] = df_2['release_date'].str.split('-').str[0]"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 32,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "df_2['year'] = df_2['year'].astype(int)"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 33,
-            "metadata": {},
-            "outputs": [
-                {
-                    "name": "stdout",
-                    "output_type": "stream",
-                    "text": [
-                        "<class 'pandas.core.frame.DataFrame'>\n",
-                        "Int64Index: 1262 entries, 0 to 4802\n",
-                        "Data columns (total 9 columns):\n",
-                        " #   Column                Non-Null Count  Dtype  \n",
-                        "---  ------                --------------  -----  \n",
-                        " 0   popularity            1262 non-null   float64\n",
-                        " 1   production_companies  1262 non-null   object \n",
-                        " 2   release_date          1262 non-null   object \n",
-                        " 3   revenue               1262 non-null   int64  \n",
-                        " 4   title                 1262 non-null   object \n",
-                        " 5   vote_count            1262 non-null   int64  \n",
-                        " 6   cast                  1262 non-null   object \n",
-                        " 7   new_genres            1262 non-null   object \n",
-                        " 8   year                  1262 non-null   int64  \n",
-                        "dtypes: float64(1), int64(3), object(5)\n",
-                        "memory usage: 98.6+ KB\n"
-                    ]
-                }
-            ],
-            "source": [
-                "df_2.info()"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 34,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "df_3 = df_2.drop(['release_date'], axis = 1)"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 35,
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "text/html": [
-                            "<div>\n",
-                            "<style scoped>\n",
-                            "    .dataframe tbody tr th:only-of-type {\n",
-                            "        vertical-align: middle;\n",
-                            "    }\n",
-                            "\n",
-                            "    .dataframe tbody tr th {\n",
-                            "        vertical-align: top;\n",
-                            "    }\n",
-                            "\n",
-                            "    .dataframe thead th {\n",
-                            "        text-align: right;\n",
-                            "    }\n",
-                            "</style>\n",
-                            "<table border=\"1\" class=\"dataframe\">\n",
-                            "  <thead>\n",
-                            "    <tr style=\"text-align: right;\">\n",
-                            "      <th></th>\n",
-                            "      <th>popularity</th>\n",
-                            "      <th>production_companies</th>\n",
-                            "      <th>revenue</th>\n",
-                            "      <th>title</th>\n",
-                            "      <th>vote_count</th>\n",
-                            "      <th>cast</th>\n",
-                            "      <th>new_genres</th>\n",
-                            "      <th>year</th>\n",
-                            "    </tr>\n",
-                            "  </thead>\n",
-                            "  <tbody>\n",
-                            "    <tr>\n",
-                            "      <th>0</th>\n",
-                            "      <td>150.437577</td>\n",
-                            "      <td>[{\"name\": \"Ingenious Film Partners\", \"id\": 289...</td>\n",
-                            "      <td>2787965087</td>\n",
-                            "      <td>Avatar</td>\n",
-                            "      <td>11800</td>\n",
-                            "      <td>[{\"cast_id\": 242, \"character\": \"Jake Sully\", \"...</td>\n",
-                            "      <td>Action,Adventure</td>\n",
-                            "      <td>2009</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>1</th>\n",
-                            "      <td>139.082615</td>\n",
-                            "      <td>[{\"name\": \"Walt Disney Pictures\", \"id\": 2}, {\"...</td>\n",
-                            "      <td>961000000</td>\n",
-                            "      <td>Pirates of the Caribbean: At World's End</td>\n",
-                            "      <td>4500</td>\n",
-                            "      <td>[{\"cast_id\": 4, \"character\": \"Captain Jack Spa...</td>\n",
-                            "      <td>Adventure,Fantasy</td>\n",
-                            "      <td>2007</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>2</th>\n",
-                            "      <td>107.376788</td>\n",
-                            "      <td>[{\"name\": \"Columbia Pictures\", \"id\": 5}, {\"nam...</td>\n",
-                            "      <td>880674609</td>\n",
-                            "      <td>Spectre</td>\n",
-                            "      <td>4466</td>\n",
-                            "      <td>[{\"cast_id\": 1, \"character\": \"James Bond\", \"cr...</td>\n",
-                            "      <td>Action,Adventure</td>\n",
-                            "      <td>2015</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>3</th>\n",
-                            "      <td>112.312950</td>\n",
-                            "      <td>[{\"name\": \"Legendary Pictures\", \"id\": 923}, {\"...</td>\n",
-                            "      <td>1084939099</td>\n",
-                            "      <td>The Dark Knight Rises</td>\n",
-                            "      <td>9106</td>\n",
-                            "      <td>[{\"cast_id\": 2, \"character\": \"Bruce Wayne / Ba...</td>\n",
-                            "      <td>Action,Crime</td>\n",
-                            "      <td>2012</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>4</th>\n",
-                            "      <td>43.926995</td>\n",
-                            "      <td>[{\"name\": \"Walt Disney Pictures\", \"id\": 2}]</td>\n",
-                            "      <td>284139100</td>\n",
-                            "      <td>John Carter</td>\n",
-                            "      <td>2124</td>\n",
-                            "      <td>[{\"cast_id\": 5, \"character\": \"John Carter\", \"c...</td>\n",
-                            "      <td>Action,Adventure</td>\n",
-                            "      <td>2012</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>...</th>\n",
-                            "      <td>...</td>\n",
-                            "      <td>...</td>\n",
-                            "      <td>...</td>\n",
-                            "      <td>...</td>\n",
-                            "      <td>...</td>\n",
-                            "      <td>...</td>\n",
-                            "      <td>...</td>\n",
-                            "      <td>...</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>4764</th>\n",
-                            "      <td>27.662696</td>\n",
-                            "      <td>[{\"name\": \"Automatik Entertainment\", \"id\": 281...</td>\n",
-                            "      <td>600896</td>\n",
-                            "      <td>The Signal</td>\n",
-                            "      <td>631</td>\n",
-                            "      <td>[{\"cast_id\": 1, \"character\": \"Nic Eastman\", \"c...</td>\n",
-                            "      <td>Thriller,Science Fiction</td>\n",
-                            "      <td>2014</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>4772</th>\n",
-                            "      <td>3.277287</td>\n",
-                            "      <td>[{\"name\": \"FM Productions\", \"id\": 12601}, {\"na...</td>\n",
-                            "      <td>321952</td>\n",
-                            "      <td>The Last Waltz</td>\n",
-                            "      <td>64</td>\n",
-                            "      <td>[{\"cast_id\": 1, \"character\": \"Himself\", \"credi...</td>\n",
-                            "      <td>Documentary,Music</td>\n",
-                            "      <td>1978</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>4778</th>\n",
-                            "      <td>1.330379</td>\n",
-                            "      <td>[]</td>\n",
-                            "      <td>10000</td>\n",
-                            "      <td>Down Terrace</td>\n",
-                            "      <td>26</td>\n",
-                            "      <td>[{\"cast_id\": 4, \"character\": \"Bill\", \"credit_i...</td>\n",
-                            "      <td>Drama,Action</td>\n",
-                            "      <td>2009</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>4787</th>\n",
-                            "      <td>0.048948</td>\n",
-                            "      <td>[]</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>Dry Spell</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>[{\"cast_id\": 4, \"character\": \"Sasha\", \"credit_...</td>\n",
-                            "      <td>Comedy,Romance</td>\n",
-                            "      <td>2013</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>4802</th>\n",
-                            "      <td>23.307949</td>\n",
-                            "      <td>[{\"name\": \"Thinkfilm\", \"id\": 446}]</td>\n",
-                            "      <td>424760</td>\n",
-                            "      <td>Primer</td>\n",
-                            "      <td>658</td>\n",
-                            "      <td>[{\"cast_id\": 1, \"character\": \"Aaron\", \"credit_...</td>\n",
-                            "      <td>Science Fiction,Drama</td>\n",
-                            "      <td>2004</td>\n",
-                            "    </tr>\n",
-                            "  </tbody>\n",
-                            "</table>\n",
-                            "<p>1262 rows \u00d7 8 columns</p>\n",
-                            "</div>"
-                        ],
-                        "text/plain": [
-                            "      popularity                               production_companies  \\\n",
-                            "0     150.437577  [{\"name\": \"Ingenious Film Partners\", \"id\": 289...   \n",
-                            "1     139.082615  [{\"name\": \"Walt Disney Pictures\", \"id\": 2}, {\"...   \n",
-                            "2     107.376788  [{\"name\": \"Columbia Pictures\", \"id\": 5}, {\"nam...   \n",
-                            "3     112.312950  [{\"name\": \"Legendary Pictures\", \"id\": 923}, {\"...   \n",
-                            "4      43.926995        [{\"name\": \"Walt Disney Pictures\", \"id\": 2}]   \n",
-                            "...          ...                                                ...   \n",
-                            "4764   27.662696  [{\"name\": \"Automatik Entertainment\", \"id\": 281...   \n",
-                            "4772    3.277287  [{\"name\": \"FM Productions\", \"id\": 12601}, {\"na...   \n",
-                            "4778    1.330379                                                 []   \n",
-                            "4787    0.048948                                                 []   \n",
-                            "4802   23.307949                 [{\"name\": \"Thinkfilm\", \"id\": 446}]   \n",
-                            "\n",
-                            "         revenue                                     title  vote_count  \\\n",
-                            "0     2787965087                                    Avatar       11800   \n",
-                            "1      961000000  Pirates of the Caribbean: At World's End        4500   \n",
-                            "2      880674609                                   Spectre        4466   \n",
-                            "3     1084939099                     The Dark Knight Rises        9106   \n",
-                            "4      284139100                               John Carter        2124   \n",
-                            "...          ...                                       ...         ...   \n",
-                            "4764      600896                                The Signal         631   \n",
-                            "4772      321952                            The Last Waltz          64   \n",
-                            "4778       10000                              Down Terrace          26   \n",
-                            "4787           0                                 Dry Spell           1   \n",
-                            "4802      424760                                    Primer         658   \n",
-                            "\n",
-                            "                                                   cast  \\\n",
-                            "0     [{\"cast_id\": 242, \"character\": \"Jake Sully\", \"...   \n",
-                            "1     [{\"cast_id\": 4, \"character\": \"Captain Jack Spa...   \n",
-                            "2     [{\"cast_id\": 1, \"character\": \"James Bond\", \"cr...   \n",
-                            "3     [{\"cast_id\": 2, \"character\": \"Bruce Wayne / Ba...   \n",
-                            "4     [{\"cast_id\": 5, \"character\": \"John Carter\", \"c...   \n",
-                            "...                                                 ...   \n",
-                            "4764  [{\"cast_id\": 1, \"character\": \"Nic Eastman\", \"c...   \n",
-                            "4772  [{\"cast_id\": 1, \"character\": \"Himself\", \"credi...   \n",
-                            "4778  [{\"cast_id\": 4, \"character\": \"Bill\", \"credit_i...   \n",
-                            "4787  [{\"cast_id\": 4, \"character\": \"Sasha\", \"credit_...   \n",
-                            "4802  [{\"cast_id\": 1, \"character\": \"Aaron\", \"credit_...   \n",
-                            "\n",
-                            "                    new_genres  year  \n",
-                            "0             Action,Adventure  2009  \n",
-                            "1            Adventure,Fantasy  2007  \n",
-                            "2             Action,Adventure  2015  \n",
-                            "3                 Action,Crime  2012  \n",
-                            "4             Action,Adventure  2012  \n",
-                            "...                        ...   ...  \n",
-                            "4764  Thriller,Science Fiction  2014  \n",
-                            "4772         Documentary,Music  1978  \n",
-                            "4778              Drama,Action  2009  \n",
-                            "4787            Comedy,Romance  2013  \n",
-                            "4802     Science Fiction,Drama  2004  \n",
-                            "\n",
-                            "[1262 rows x 8 columns]"
-                        ]
-                    },
-                    "execution_count": 35,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                }
-            ],
-            "source": [
-                "df_3"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 36,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "df_3['cast'] = df_3['cast'].str.split(',').str[5]"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 37,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "df_3['cast'] = df_3['cast'].str.split(':').str[1]"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 38,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "df_3['cast'] = df_3['cast'].str.split('\"').str[1]"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 39,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "df_3['production_companies'] = df_3['production_companies'].str.split(',').str[0]"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 40,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "df_3['production_companies'] = df_3['production_companies'].str.split(':').str[1]"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 41,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "df_3['production_companies'] = df_3['production_companies'].str.split('\"').str[1]"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 42,
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "text/plain": [
-                            "popularity               0\n",
-                            "production_companies    22\n",
-                            "revenue                  0\n",
-                            "title                    0\n",
-                            "vote_count               0\n",
-                            "cast                     5\n",
-                            "new_genres               0\n",
-                            "year                     0\n",
-                            "dtype: int64"
-                        ]
-                    },
-                    "execution_count": 42,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                }
-            ],
-            "source": [
-                "df_3.isnull().sum()"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 43,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "df_5 = df_3.dropna(axis=0)"
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "# 4. Modellierung und Evaluation"
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "## 4.1 Test und Trainieren der Daten"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 44,
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "text/html": [
-                            "<div>\n",
-                            "<style scoped>\n",
-                            "    .dataframe tbody tr th:only-of-type {\n",
-                            "        vertical-align: middle;\n",
-                            "    }\n",
-                            "\n",
-                            "    .dataframe tbody tr th {\n",
-                            "        vertical-align: top;\n",
-                            "    }\n",
-                            "\n",
-                            "    .dataframe thead th {\n",
-                            "        text-align: right;\n",
-                            "    }\n",
-                            "</style>\n",
-                            "<table border=\"1\" class=\"dataframe\">\n",
-                            "  <thead>\n",
-                            "    <tr style=\"text-align: right;\">\n",
-                            "      <th></th>\n",
-                            "      <th>popularity</th>\n",
-                            "      <th>production_companies</th>\n",
-                            "      <th>revenue</th>\n",
-                            "      <th>title</th>\n",
-                            "      <th>vote_count</th>\n",
-                            "      <th>cast</th>\n",
-                            "      <th>new_genres</th>\n",
-                            "      <th>year</th>\n",
-                            "    </tr>\n",
-                            "  </thead>\n",
-                            "  <tbody>\n",
-                            "    <tr>\n",
-                            "      <th>0</th>\n",
-                            "      <td>150.437577</td>\n",
-                            "      <td>Ingenious Film Partners</td>\n",
-                            "      <td>2787965087</td>\n",
-                            "      <td>Avatar</td>\n",
-                            "      <td>11800</td>\n",
-                            "      <td>Sam Worthington</td>\n",
-                            "      <td>Action,Adventure</td>\n",
-                            "      <td>2009</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>1</th>\n",
-                            "      <td>139.082615</td>\n",
-                            "      <td>Walt Disney Pictures</td>\n",
-                            "      <td>961000000</td>\n",
-                            "      <td>Pirates of the Caribbean: At World's End</td>\n",
-                            "      <td>4500</td>\n",
-                            "      <td>Johnny Depp</td>\n",
-                            "      <td>Adventure,Fantasy</td>\n",
-                            "      <td>2007</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>2</th>\n",
-                            "      <td>107.376788</td>\n",
-                            "      <td>Columbia Pictures</td>\n",
-                            "      <td>880674609</td>\n",
-                            "      <td>Spectre</td>\n",
-                            "      <td>4466</td>\n",
-                            "      <td>Daniel Craig</td>\n",
-                            "      <td>Action,Adventure</td>\n",
-                            "      <td>2015</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>3</th>\n",
-                            "      <td>112.312950</td>\n",
-                            "      <td>Legendary Pictures</td>\n",
-                            "      <td>1084939099</td>\n",
-                            "      <td>The Dark Knight Rises</td>\n",
-                            "      <td>9106</td>\n",
-                            "      <td>Christian Bale</td>\n",
-                            "      <td>Action,Crime</td>\n",
-                            "      <td>2012</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>4</th>\n",
-                            "      <td>43.926995</td>\n",
-                            "      <td>Walt Disney Pictures</td>\n",
-                            "      <td>284139100</td>\n",
-                            "      <td>John Carter</td>\n",
-                            "      <td>2124</td>\n",
-                            "      <td>Taylor Kitsch</td>\n",
-                            "      <td>Action,Adventure</td>\n",
-                            "      <td>2012</td>\n",
-                            "    </tr>\n",
-                            "  </tbody>\n",
-                            "</table>\n",
-                            "</div>"
-                        ],
-                        "text/plain": [
-                            "   popularity     production_companies     revenue  \\\n",
-                            "0  150.437577  Ingenious Film Partners  2787965087   \n",
-                            "1  139.082615     Walt Disney Pictures   961000000   \n",
-                            "2  107.376788        Columbia Pictures   880674609   \n",
-                            "3  112.312950       Legendary Pictures  1084939099   \n",
-                            "4   43.926995     Walt Disney Pictures   284139100   \n",
-                            "\n",
-                            "                                      title  vote_count             cast  \\\n",
-                            "0                                    Avatar       11800  Sam Worthington   \n",
-                            "1  Pirates of the Caribbean: At World's End        4500      Johnny Depp   \n",
-                            "2                                   Spectre        4466     Daniel Craig   \n",
-                            "3                     The Dark Knight Rises        9106   Christian Bale   \n",
-                            "4                               John Carter        2124    Taylor Kitsch   \n",
-                            "\n",
-                            "          new_genres  year  \n",
-                            "0   Action,Adventure  2009  \n",
-                            "1  Adventure,Fantasy  2007  \n",
-                            "2   Action,Adventure  2015  \n",
-                            "3       Action,Crime  2012  \n",
-                            "4   Action,Adventure  2012  "
-                        ]
-                    },
-                    "execution_count": 44,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                }
-            ],
-            "source": [
-                "df_5.head()"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 45,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "df_6 = df_5.rename({\"cast\":\"star\"}, axis=1)"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 46,
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "text/html": [
-                            "<div>\n",
-                            "<style scoped>\n",
-                            "    .dataframe tbody tr th:only-of-type {\n",
-                            "        vertical-align: middle;\n",
-                            "    }\n",
-                            "\n",
-                            "    .dataframe tbody tr th {\n",
-                            "        vertical-align: top;\n",
-                            "    }\n",
-                            "\n",
-                            "    .dataframe thead th {\n",
-                            "        text-align: right;\n",
-                            "    }\n",
-                            "</style>\n",
-                            "<table border=\"1\" class=\"dataframe\">\n",
-                            "  <thead>\n",
-                            "    <tr style=\"text-align: right;\">\n",
-                            "      <th></th>\n",
-                            "      <th>popularity</th>\n",
-                            "      <th>production_companies</th>\n",
-                            "      <th>revenue</th>\n",
-                            "      <th>title</th>\n",
-                            "      <th>vote_count</th>\n",
-                            "      <th>star</th>\n",
-                            "      <th>new_genres</th>\n",
-                            "      <th>year</th>\n",
-                            "    </tr>\n",
-                            "  </thead>\n",
-                            "  <tbody>\n",
-                            "    <tr>\n",
-                            "      <th>0</th>\n",
-                            "      <td>150.437577</td>\n",
-                            "      <td>Ingenious Film Partners</td>\n",
-                            "      <td>2787965087</td>\n",
-                            "      <td>Avatar</td>\n",
-                            "      <td>11800</td>\n",
-                            "      <td>Sam Worthington</td>\n",
-                            "      <td>Action,Adventure</td>\n",
-                            "      <td>2009</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>1</th>\n",
-                            "      <td>139.082615</td>\n",
-                            "      <td>Walt Disney Pictures</td>\n",
-                            "      <td>961000000</td>\n",
-                            "      <td>Pirates of the Caribbean: At World's End</td>\n",
-                            "      <td>4500</td>\n",
-                            "      <td>Johnny Depp</td>\n",
-                            "      <td>Adventure,Fantasy</td>\n",
-                            "      <td>2007</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>2</th>\n",
-                            "      <td>107.376788</td>\n",
-                            "      <td>Columbia Pictures</td>\n",
-                            "      <td>880674609</td>\n",
-                            "      <td>Spectre</td>\n",
-                            "      <td>4466</td>\n",
-                            "      <td>Daniel Craig</td>\n",
-                            "      <td>Action,Adventure</td>\n",
-                            "      <td>2015</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>3</th>\n",
-                            "      <td>112.312950</td>\n",
-                            "      <td>Legendary Pictures</td>\n",
-                            "      <td>1084939099</td>\n",
-                            "      <td>The Dark Knight Rises</td>\n",
-                            "      <td>9106</td>\n",
-                            "      <td>Christian Bale</td>\n",
-                            "      <td>Action,Crime</td>\n",
-                            "      <td>2012</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>4</th>\n",
-                            "      <td>43.926995</td>\n",
-                            "      <td>Walt Disney Pictures</td>\n",
-                            "      <td>284139100</td>\n",
-                            "      <td>John Carter</td>\n",
-                            "      <td>2124</td>\n",
-                            "      <td>Taylor Kitsch</td>\n",
-                            "      <td>Action,Adventure</td>\n",
-                            "      <td>2012</td>\n",
-                            "    </tr>\n",
-                            "  </tbody>\n",
-                            "</table>\n",
-                            "</div>"
-                        ],
-                        "text/plain": [
-                            "   popularity     production_companies     revenue  \\\n",
-                            "0  150.437577  Ingenious Film Partners  2787965087   \n",
-                            "1  139.082615     Walt Disney Pictures   961000000   \n",
-                            "2  107.376788        Columbia Pictures   880674609   \n",
-                            "3  112.312950       Legendary Pictures  1084939099   \n",
-                            "4   43.926995     Walt Disney Pictures   284139100   \n",
-                            "\n",
-                            "                                      title  vote_count             star  \\\n",
-                            "0                                    Avatar       11800  Sam Worthington   \n",
-                            "1  Pirates of the Caribbean: At World's End        4500      Johnny Depp   \n",
-                            "2                                   Spectre        4466     Daniel Craig   \n",
-                            "3                     The Dark Knight Rises        9106   Christian Bale   \n",
-                            "4                               John Carter        2124    Taylor Kitsch   \n",
-                            "\n",
-                            "          new_genres  year  \n",
-                            "0   Action,Adventure  2009  \n",
-                            "1  Adventure,Fantasy  2007  \n",
-                            "2   Action,Adventure  2015  \n",
-                            "3       Action,Crime  2012  \n",
-                            "4   Action,Adventure  2012  "
-                        ]
-                    },
-                    "execution_count": 46,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                }
-            ],
-            "source": [
-                "df_6.head()"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 47,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "df_7 = df_6.drop(['year'], axis = 1)"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 48,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "df_cleaned = df_7.dropna(axis=0)"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 49,
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "text/plain": [
-                            "array([[<AxesSubplot:title={'center':'popularity'}>,\n",
-                            "        <AxesSubplot:title={'center':'revenue'}>],\n",
-                            "       [<AxesSubplot:title={'center':'vote_count'}>, <AxesSubplot:>]],\n",
-                            "      dtype=object)"
-                        ]
-                    },
-                    "execution_count": 49,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                },
-                {
-                    "data": {
-                        "image/png": 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",
-                        "text/plain": [
-                            "<Figure size 720x720 with 4 Axes>"
-                        ]
-                    },
-                    "metadata": {},
-                    "output_type": "display_data"
-                }
-            ],
-            "source": [
-                "df_cleaned.hist(figsize=(10,10), bins=50)"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 50,
-            "metadata": {},
-            "outputs": [
-                {
-                    "name": "stderr",
-                    "output_type": "stream",
-                    "text": [
-                        "/Users/Jumana/opt/anaconda3/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n",
-                        "  warnings.warn(msg, FutureWarning)\n"
-                    ]
-                },
-                {
-                    "data": {
-                        "text/plain": [
-                            "<AxesSubplot:xlabel='popularity', ylabel='Density'>"
-                        ]
-                    },
-                    "execution_count": 50,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                },
-                {
-                    "data": {
-                        "image/png": 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",
-                        "text/plain": [
-                            "<Figure size 432x288 with 1 Axes>"
-                        ]
-                    },
-                    "metadata": {},
-                    "output_type": "display_data"
-                }
-            ],
-            "source": [
-                "sns.distplot(df_cleaned['popularity'])"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 51,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "q = df_cleaned['popularity'].quantile(0.99)\n",
-                "\n",
-                "data_1 = df_cleaned[df_cleaned['popularity']<q]"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 52,
-            "metadata": {},
-            "outputs": [
-                {
-                    "name": "stderr",
-                    "output_type": "stream",
-                    "text": [
-                        "/Users/Jumana/opt/anaconda3/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n",
-                        "  warnings.warn(msg, FutureWarning)\n"
-                    ]
-                },
-                {
-                    "data": {
-                        "text/plain": [
-                            "<AxesSubplot:xlabel='popularity', ylabel='Density'>"
-                        ]
-                    },
-                    "execution_count": 52,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                },
-                {
-                    "data": {
-                        "image/png": 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",
-                        "text/plain": [
-                            "<Figure size 432x288 with 1 Axes>"
-                        ]
-                    },
-                    "metadata": {},
-                    "output_type": "display_data"
-                }
-            ],
-            "source": [
-                "sns.distplot(data_1['popularity'])"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 53,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "q = data_1['vote_count'].quantile(0.01)\n",
-                "\n",
-                "data_2 = data_1[data_1['vote_count']>q]"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 54,
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "text/html": [
-                            "<div>\n",
-                            "<style scoped>\n",
-                            "    .dataframe tbody tr th:only-of-type {\n",
-                            "        vertical-align: middle;\n",
-                            "    }\n",
-                            "\n",
-                            "    .dataframe tbody tr th {\n",
-                            "        vertical-align: top;\n",
-                            "    }\n",
-                            "\n",
-                            "    .dataframe thead th {\n",
-                            "        text-align: right;\n",
-                            "    }\n",
-                            "</style>\n",
-                            "<table border=\"1\" class=\"dataframe\">\n",
-                            "  <thead>\n",
-                            "    <tr style=\"text-align: right;\">\n",
-                            "      <th></th>\n",
-                            "      <th>popularity</th>\n",
-                            "      <th>revenue</th>\n",
-                            "      <th>vote_count</th>\n",
-                            "    </tr>\n",
-                            "  </thead>\n",
-                            "  <tbody>\n",
-                            "    <tr>\n",
-                            "      <th>count</th>\n",
-                            "      <td>1208.000000</td>\n",
-                            "      <td>1.208000e+03</td>\n",
-                            "      <td>1208.000000</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>mean</th>\n",
-                            "      <td>35.506440</td>\n",
-                            "      <td>1.669286e+08</td>\n",
-                            "      <td>1405.486755</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>std</th>\n",
-                            "      <td>29.940760</td>\n",
-                            "      <td>2.455862e+08</td>\n",
-                            "      <td>1752.879308</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>min</th>\n",
-                            "      <td>0.132878</td>\n",
-                            "      <td>0.000000e+00</td>\n",
-                            "      <td>9.000000</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>25%</th>\n",
-                            "      <td>13.768277</td>\n",
-                            "      <td>1.529117e+07</td>\n",
-                            "      <td>279.250000</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>50%</th>\n",
-                            "      <td>27.153374</td>\n",
-                            "      <td>7.233776e+07</td>\n",
-                            "      <td>712.000000</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>75%</th>\n",
-                            "      <td>46.832955</td>\n",
-                            "      <td>2.054128e+08</td>\n",
-                            "      <td>1805.500000</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>max</th>\n",
-                            "      <td>167.932870</td>\n",
-                            "      <td>2.787965e+09</td>\n",
-                            "      <td>13752.000000</td>\n",
-                            "    </tr>\n",
-                            "  </tbody>\n",
-                            "</table>\n",
-                            "</div>"
-                        ],
-                        "text/plain": [
-                            "        popularity       revenue    vote_count\n",
-                            "count  1208.000000  1.208000e+03   1208.000000\n",
-                            "mean     35.506440  1.669286e+08   1405.486755\n",
-                            "std      29.940760  2.455862e+08   1752.879308\n",
-                            "min       0.132878  0.000000e+00      9.000000\n",
-                            "25%      13.768277  1.529117e+07    279.250000\n",
-                            "50%      27.153374  7.233776e+07    712.000000\n",
-                            "75%      46.832955  2.054128e+08   1805.500000\n",
-                            "max     167.932870  2.787965e+09  13752.000000"
-                        ]
-                    },
-                    "execution_count": 54,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                }
-            ],
-            "source": [
-                "data_2.describe()"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 55,
-            "metadata": {},
-            "outputs": [
-                {
-                    "name": "stderr",
-                    "output_type": "stream",
-                    "text": [
-                        "/Users/Jumana/opt/anaconda3/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n",
-                        "  warnings.warn(msg, FutureWarning)\n"
-                    ]
-                },
-                {
-                    "data": {
-                        "text/plain": [
-                            "<AxesSubplot:xlabel='vote_count', ylabel='Density'>"
-                        ]
-                    },
-                    "execution_count": 55,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                },
-                {
-                    "data": {
-                        "image/png": 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6NXl5ef7OJs4pLneg0UDXzq0XS3ionv49OkuxCCECrl3For1gn73b7W42TfhPcXkN0ZGhGPRtf+bD+sWQX1xNeVVdByUTQojm2tUOI0aM4JlnnqG2tpbt27dz3333MWrUKH9nE4DHoyg9W4ulS+tbK40G94kG4NtzF08KIUQgtKtYHn74YcLDw4mMjGTt2rUMHDiQRx55xN/ZBHDWXofbo4jpHHrRZXtaTISG6Pguv8L/wYQQohUXLZYPPviAu+66i1dffZXTp08TGRnJzTffjNFovOiTb968meTkZMaPH8/69eubzc/LyyM9PZ2kpCSWLl2Ky+UCoLCwkJkzZzJhwgTmz5/vPQOtsrKSefPmMXHiRGbOnElJSUmT56uurub222/n888/b9ebvxo07taKjrz4563VahjQI4pvpViEEAHUZrHk5OTwzDPPMGvWLN5++23eeustpkyZwsqVK9m6dWubT2y1WlmzZg0bNmwgMzOTjRs3cuTIkSbLLFq0iIyMDLZs2YJSik2bNgGwfPlyZsyYQW5uLkOGDGHdunUArF27loSEBHJycpg+fTorV65s8nxPPvkklZXX1um2tso6tFoNnSJC2rX89T07U1TmoNIu92kRQgRGm8Xyv//7v7zxxhukpqbSv39/+vXrx5QpU3jllVd4/fXX23zinTt3Mnr0aKKioggPDycpKanJlfsFBQXU1tYyfPhwANLT08nNzcXpdLJ7926SkpKaTAfYtm0baWlpAKSmpvLJJ5/gdDoByM7OJiIi4pq7AVl5VR1RphC0Wk27lr+hZxcADp+u8GMqIYRoXZvFYrfb6d69e7Ppffv2pa6u7TOPiouLMZvN3scWiwWr1drqfLPZjNVqpby8HJPJhF6vbzL9wnX0ej0mkwmbzUZhYSF/+9vfrsnjPuVVdXRpx26wRn26RWLQa2V3mBAiYNoc0kWn07U6T6m2R9L1eDxoNN9/y1ZKNXnc2vwLlwOaPb4ww9KlS3n88ccJDb34Ae6WxMSYADCbg2vY+cOnyqmtd9Otq4lI0/fvzWDQN3kMEB5uxBwdDsCgPtEcP1Pl1/cTbJ8VSKZLEYy5gjETBGeuYMx0vnaNFXY54uLi2LNnj/dxSUkJFoulyfzzD76XlpZisViIjo6mqqoKt9uNTqdrsp7FYqG0tJS4uDhcLhd2u53y8nKOHTvG0qVLATh16hSPPfYYTz75JKNHj25X1rKyamJiTJSUVPnirftMfnE1AOEhOqqqa73TnU5Xk8cANbX1nDjdsBUZ3zWc3M9PkXe0hChTKBe5/OWSmc2RQfdZSab2C8ZcwZgJgjNXMGTSajXeL+QtabNYvv32W26++eZm05VS1Ne3fXB47NixvPDCC9hsNsLCwti6dStPPvmkd358fDxGo5G9e/dyyy23kJWVRWJiIgaDgYSEBLKzs0lLSyMzM5PExEQAxo0bR2ZmJvfeey/Z2dkkJCQwcOBAPv74Y+/z3nXXXdfMdTanrQ1/eaLasSuszunmm+8aitrl9qAUbPn8JFMS+6E3+u37gxBCNNPmb5wPPvjgsp84NjaWhQsXMnv2bJxOJ9OmTWPYsGHMnTuX+++/n6FDh7J69Woee+wxqqurGTx4MLNnzwZg2bJlLF68mJdffplu3brx5z//GYAFCxawePFiUlJSiIyMZPXq1Zed72pQWGonzKgjNKT1XZItMUeFodGA1Vbjp2RCCNE6jbrYwZIfgGDdFfbHt/ZSZa8naVSvJtNvut7s3TppbVr2rpNoNJDx/0YS4eMtlmDYFL+QZGq/YMwVjJkgOHMFQ6aL7QqTAb+CmNXmaPf1KxeKjQ6n7Gwt9U63j1MJIUTbpFiClKPWSZXDSeTlFkuXMDwKTpwJrm9bQohrnxRLkLKWNxwf6RRuuKz1zecGrTxWeNZnmYQQoj2kWILUGZsD4LJ3hRkNOqJMIRwruLaGuBFCBD8pliBltTnQAJGXucUCYOkSxvGiSjyeH/z5GUKIDiTFEqSs5TXEdA5FdwU3VLN0Cae23s3pkmofJhNCiLZJsQQpq81BbEzEFT1H483BDp+W4yxCiI4jxRKElFJYyx3Edgm/oueJCNUTZQqRkY6FEB1KiiUIVTmc1NS5iY25smLRaDRcF9+Zw6fPXnTQUCGE8BUpliDUeEbYlW6xAPTr3pnyqjrKKmsvvrAQQviAFEsQspafK5Yr3GIBuC6+EyDHWYQQHUeKJQhZbTXotBpiOl/e/WXO1z0mgjCjTopFCNFhpFiCkLXcgTkq7IpONW6k1Wro172zHMAXQnQYKZYgZLU5iD13qrAvDOjRmYISO/Zap8+eUwghWiPFEmQ8SlFcXkNs9JUfX2k0oEcUIMdZhBAdQ4olyFRU1VHv8vi0WK7r3gm9TsO3p8p99pxCCNEaKZYgY/Weauy7XWEhBh39unfm0KkKnz2nEEK0RoolyDQOlx/nwy0WgBt6RXHKWoVDjrMIIfxMiiXInLE5MOi1REUaffq8A3t1QSn4Ll+Oswgh/EuKJcgUl9cQ2yUMrUbj0+ftF98JvU7LITnOIoTwMymWIHPGduWDT7bEoNfRP74Th05KsQgh/EuKJYi4PR5KKnx7qvH5BvXuwqniaiod9X55fiGEACmWoFJ2tha3R/n0jLDzDe4bA8B/Ttj88vxCCAFSLEGl8Ywwf22x9ImLJCJUz3+Oy+4wIYT/SLEEEe9w+X4qFq1Ww6DeXTh4wib3ZxFC+I0USxApttUQZtTRKdzgt9cY3Dea8qo6isocfnsNIcQPmxRLEDlT7sDSJRyND0811mg12Otc3n+ui+8MwL6jZT57DSGEOJ8+0AHE96w2B/3O/eL3lTqnm2++K2kyrXvXCPYdLWXCqF4+fS0hhADZYgkaTpeHsspav50Rdr7BfaP5Lv+sDKMvhPALKZYgUVJRg1L+O3B/vqHXxeBRiv3HZHeYEML3pFiCxPejGvu/WHrHRRIZbuCbI1IsQgjfk2IJEt9fw+L/XWFarYab+nVl39EyXG6P319PCPHDIsUSJKzlDkxhBiJC/Xeq8fluucFMTZ2Lg8flKnwhhG9JsQQJq83h83uwtGVw32jCjHr2HCrusNcUQvwwSLEECeu54fI7il6n5eYBXfnycClOl+wOE0L4jhRLEKird1NeVdchZ4Sdb8QgS8PuMBmUUgjhQ1IsQcBa7t8xwlpzY59oTGEGdh0406GvK4S4tvm1WDZv3kxycjLjx49n/fr1zebn5eWRnp5OUlISS5cuxeVyAVBYWMjMmTOZMGEC8+fPx263A1BZWcm8efOYOHEiM2fOpKSk4Yry4uJifvOb3zB58mTuvPNOdu3a5c+35XPeM8I6aFdY4zAvdS4Pt9xg5qvDJZx1yMWSQgjf8FuxWK1W1qxZw4YNG8jMzGTjxo0cOXKkyTKLFi0iIyODLVu2oJRi06ZNACxfvpwZM2aQm5vLkCFDWLduHQBr164lISGBnJwcpk+fzsqVKwF4+umn+dnPfkZWVhbPPvssDz/8MG63219vzec68hoWaBjmZXeeld15VkzhBlxuxa4DRR3y2kKIa5/fimXnzp2MHj2aqKgowsPDSUpKIjc31zu/oKCA2tpahg8fDkB6ejq5ubk4nU52795NUlJSk+kA27ZtIy0tDYDU1FQ++eQTnE4nd9xxB6mpqQD07t2buro6HI6rZ/Req81Bl0gjxhBdh792dKSRLpFGPjto7fDXFkJcm/xWLMXFxZjNZu9ji8WC1Wptdb7ZbMZqtVJeXo7JZEKv1zeZfuE6er0ek8mEzWYjKSmJzp0bBm987bXXGDRoEJGRkf56az7XcJ/7jjsj7HwajYb+8Z05Za3ixJnKgGQQQlxb/Da6scfjaTL8u1KqyePW5l+4HNDqMPJKKbTa77vxjTfeYOPGjbz11luXlDUmxgSA2dzxZaSU4kx5DeN+FN/s9YttDiJNoc3WMRj0zaa3NK29y950g4V9R8vYebCYEUPj25U7EJ/VxUim9gvGXMGYCYIzVzBmOp/fiiUuLo49e/Z4H5eUlGCxWJrMbzz4DlBaWorFYiE6Opqqqircbjc6na7JehaLhdLSUuLi4nC5XNjtdqKiooCG4ywff/wx69evJy4u7pKylpVVExNjoqSk6gre8eU5a6/HXuMkKtzQ/PV1Oqqqa5ut43S6mk1vadqlLDtikIVtX55m0tjemMLavvrfbI4MyGfVFsnUfsGYKxgzQXDmCoZMWq3G+4W8xfn+euGxY8eya9cubDYbNTU1bN26lcTERO/8+Ph4jEYje/fuBSArK4vExEQMBgMJCQlkZ2cDkJmZ6V1v3LhxZGZmApCdnU1CQgIGg4E33niDzz//nL///e+XXCqBVlTacMZbt5iIgOZIvKk7LreHbV8VBDSHEOLq57diiY2NZeHChcyePZspU6aQmprKsGHDmDt3Lvv37wdg9erVrFq1igkTJuBwOJg9ezYAy5YtY9OmTSQnJ7Nnzx4eeOABABYsWMDXX39NSkoKGzZsICMjA6UUL730EjabjbvuuovJkyczefLkJsdzglnRuTPCusV07DUsF+rWNYIhfaP5YE8+dc6r54w6IUTw8esdJNPS0rxncTX661//6v3/gQMH8n//93/N1ouPj+fNN99sNj0qKor//u//bjZ99+7dPkgbGEVldowGHV0ijYGOQsqY3jy14Ss+3VfEz2/pEeg4QoirlFx5H2BFZQ7iYnx7n/vLdX3PKPr36Ezu5ydl/DAhxGWTYgmwM2V2ugd4N1gjjUbDpB/3oayyjo+/lmMtQojLI8USQHX1bsoq64gL8IH78w3uE83AXlFs3nmCmjpXoOMIIa5CUiwBdKbxwH0HDz7Zksbxwxz1blLG9qHK4WTzzhPIHjEhxKXy68F70bbTJdUAxJsDv8VS53TzzXffX1fUJy6SrbvzGXljLH1ig/tiLCFEcJEtlgDKL67GoNd22OCTlyJhoBmtBt7ddhSlVKDjCCGuIlIsAVRQUk33rhFotYE/I+xC4aEGburflQPHbXyRJ7cvFkK0nxRLAOWX2Olpbn1YhEAb1LsLfeIieWvrt5ytrgt0HCHEVUKKJUAq7fVU2uvpEQTHV1qj1WqYmXQDdU4Pr/0zD4/sEhNCtIMUS4A0HrjvYQneLRaAuOhwfnX7AA4ct/HPXScDHUcIcRWQYgmQ08VXR7EA/HR4d0bfGEvm9mPsO1oa6DhCiCAnxRIg+SXVdIoIoVN4SKCjXJRGo2HOhIH0skTyctZBjheeDXQkIUQQk2IJkHxrNT2vgq2VRsYQHfdPG0a4UU/GX3Z5L+4UQogLSbEEQJ3TzekSO327dQp0lItqvCLfXuciJETH/3fnUDwexTN//4qiMnug4wkhgpAUSwCcPFOFRymuuwqKpc7pZnee1ftPfnEVD/7qZtxuD6ve+pLjRZWBjiiECDJSLAHQ+Mu4b7erc6iUnrGRLJl1C6EhOla99SXbvykMdCQhRBCRYgmA40WVxHQy0tkU+Jt7Xa7Y6HAem5PAgB6deT3nEG/k5OF0yZ0nhRBSLAFxrLDyqji+cjGdwkN46BfDSRnTm0++KeKJv+3haIGcMSbED50USwerdNRTeraWvt2v/mKBhqvzp47rx39NHYa9xskf39zL6zmHKK2sxV7nkmH3hfgBkmHzO9ixgobjK1fDgfvWuNwe6i+4CVj/nlFMHN2brw6XsP2bQnbnWbmpfwy/uv36ZtfquDxQ52y6vtGgRy9fc4S4JkixdLC8k+UY9Fquu4q3WOqcbvbkWZtMu+l6Mwa9lpGDYrmue2f2Hirm8/8Uc6ywiqnjriNhoAWtRnNufRe7L1h/xKBY9Eb56yjEtUB+kjtY3kkb/eM7Y9DrAh3Fb7p2DmX8yJ4UlNjJO1nOf2cdpPuOE6SN7cOIgZZAxxNC+JkUSweqtNdzusTO1HGxgY7idxqNhh4WE5NvvY7/HLexeecJXnnvIO/tOM74kb3wKOXdghFCXFukWDpQ3slyAAb27hLgJB1Hq9Uw6sZYRgyysOdQMZt3nuBvOYfoFBHCsH7R9InrFJQ3OhNCXD4plg6Ud7KcMKOOPnFX54WRV0Kr0TByUCwJAy3sOniGdz8+xqf7zvDNkTKG9Yvh5htkF5kQ1woplg7iUYr9x8oY2KsLOu0P5/SnxrHGzjesv5l6p5v84mq+OVLGjv1n+C6/grSxfRk9OBa97ofz+QhxLZJi6SDHCispr6pj6rjrAh2lQ9U53XzzXUmTaTddb0aj0dArNpKeFhP5xdUcKajkf7LzyPr0OONH9iRxWHeMIdfuCQ5CXMukWDrI7rxi9DoNw/ubAx0lqDQWTPq4fhw5fZacz07y938d5r1Pj5M4vDs/GdqNbjHBe/tmIURzUiwdwKMUe74tZkjfGMJD5SNviUajYXj/rgzv35Ujp8+S+8UptnyeT85np+gf35mRgywM7htNXHQ4GjmbTIigJr/lOsCR02cpr6pj2k/7BTrKVaF/j87c12MoZ6vr2HXQyqf7i9jwr8MAdIk0MqBHZ7rFRNC9awTmqFAiw0LoFBUe4NRCiEZSLB3gw72nCTPqGd6/a6CjBK2WDvLrDTpuH9GLCaN6UVJRw39O2Dh4opzjRZXszitGXfAcRoOOyHADkeEhdAo3EBkRginMQESoAXOXMCxdwojpFIoxxIDTJUPKCOEvUix+VlpRw55vi5kwshdhMmRJq1o6yA/fD/Vijgpj3PB4xg2Px+WBqpo6im012KpqqXY4qXcryipqqK5xUl3jpKyylhNnqqiuceL2fF9BOq2GnrGRhBt1mKMayibMqJchZYTwIflJ8rMP9pxGq9Hw81t6BDrKNaPO6eKbw6Xexwa9ljE3dWPPwaJmyw4b0JXPD5yh0lFPpd1JRVUdNfUuDp2q4D8nGi5YjTKFcOJMFUP7xnBDryhMYYYOey9CXIukWPyouNzBtq8LGHVjLNGdQgMd56rU0i4yz4X7wNpaX6MhzKgnzKgn9tyABzddb+bLQ8XYKms5Y3NwpszBZwfO8MnXhWiAHhYTA3t1YWDvKG7oGUV46MWLpqURm5XNgduD7GITPzhSLH6ilOLNLd+iO3e/EnF5WrsO5krptBrMUWGYo8IYel0MP7reTLHNwaGT5Rw6VcG2rwv4YE8+GiCmcyjdu0YQFx1OdKSRThEhdIoIITREj9GgJcSgw+VRHDhWhk6n8Y6BFmkKZWDPzs12sbVUQiDHecS1Q4rFTz76soCDJ8qZecf1dIm8em9B/EOh12kZ0COKAT2iSPsxOF1ujhVW8l1+BQWldorKHOSdLMfZjjuX6bQaDPqGwjGFGQgP1RN67v87RYQQZtRTeraG0BA9YUYdYUY9oSE6Rt4YJ8d5xDVB/hb7wZ5DxWz44DuG9Yvhth/FBzqOaIeWdrn1iI2kb3wX7xlkSilq6lzU1ntw1NRTW++m3uWh3ummqsbJ0YKzuNweXG5PQwFpNBj1OpwuN9U1Ts7YHFTa66lvoZy0Gg05n50iulMo0ZFGunQyEh0ZSpdII9GdjHSJDCUy3CAjQourgl+LZfPmzbz88su4XC7mzJnDzJkzm8zPy8tj6dKl2O12EhISWL58OXq9nsLCQhYtWkRZWRl9+/Zl9erVREREUFlZycMPP0x+fj7R0dGsXbsWs9lMfX09S5cu5cCBA4SGhrJ69Wr69ev43U9uj4f3d57kvR3H6RffmflThsjIvVeJ1s5Ku+l6c7PpIwbF0tPcdDQAe52L0AuGoGncFRZx3laIUgpbdR079hVRW++ips6No86Fo9ZFmFFHZXU9RwrOUn6orsnZbAB6nYYok/Fc8ZwroMiG0mkoHyOmMIOMtSYCzm/FYrVaWbNmDe+++y4hISH88pe/ZNSoUfTv39+7zKJFi1ixYgXDhw/n97//PZs2bWLGjBksX76cGTNmkJKSwksvvcS6detYtGgRa9euJSEhgb/85S9kZmaycuVK1q5dy5tvvklYWBg5OTns3r2bJUuWsGnTJn+9tWZKKmr4+nAp/9qbT0lFLWMGxzFr/PUYDTLW1bXoUk4oaGnZEIPee5zmfCMHx6HOPZFHKaodTqprXJRUOKiorqOiqo6K6jrOVjdsHe2pal4+AKEhjbvgGna9RYYZMIUZCDPqCDHoiI4Kp77OiUGnBU1D2SnV8JpKNTz2nPuvywNOpxsP5+Z5FDqdtuHYkl5LiF6HQa9t2PWn1xISosOo1537b8PuQKNBJ1+wfmD8Viw7d+5k9OjRREVFAZCUlERubi733XcfAAUFBdTW1jJ8+HAA0tPTef7555k+fTq7d+/mpZde8k6fNWsWixYtYtu2baxfvx6A1NRUnnjiCZxOJ9u2bWPBggUAjBgxApvNRmFhId27d29X1sa/9Jf6l3/Tv49w6FQF1Y56AHrHdeL/Jd/IjX18c78VpdW0eEaSXqdtNr2laZey7KWt3zxXx75++zL56/XdHkXecVuTaYP6RjdbLsyob/eybT1veVUtXTuH0bVzGHDu5AWPwqMUjlonZ+31VNrrOWt3crLoLHVON/VOD/UuN1qNBltlLfkl1dQ73c1es6PodA27BQ2GhiLS67TotBp0Wg1arQZjiB6P241W2zBdq2mY3jC/YVdh47JarRadRoNGQ8NFsgrUuctlG2v2+4JUqHOflUeBx/N9iTb5/3OPXW6Pt1SVghCDDpQ6L8uF2TQXZNOg02jQ6jRoNZfwO6UdZzo2LhIeGoKjtv6iy2vO/Utz7pEG8O5J1TQ8vq57Z3rFmtqX8TwXe19+K5bi4mLM5u/P3rFYLOzbt6/V+WazGavVSnl5OSaTCb1e32T6hevo9XpMJhM2m63F5zpz5ky7i6VLl4bdGjExl/YBz582/JKWvxwpt7a8S++6Hs3Lq6Vpl7LspazfM7ZTQF+/vZk68vWvdP1LXVaIYOW3nbEej6fJYIFKqSaPW5t/4XJAq4MOKqXQarXN1mmcLoQQouP57bdvXFwcJSXfH/QsKSnBYrG0Or+0tBSLxUJ0dDRVVVW43e5m61ksFkpLG664drlc2O12oqKiiI2Npbi4uNlzCSGE6Hh+K5axY8eya9cubDYbNTU1bN26lcTERO/8+Ph4jEYje/fuBSArK4vExEQMBgMJCQlkZ2cDkJmZ6V1v3LhxZGZmApCdnU1CQgIGg4Fx48aRlZUFwJ49ezAaje3eDSaEEMK3NEqpSxgg49Js3ryZV155BafTybRp05g7dy5z587l/vvvZ+jQoRw6dIjHHnuM6upqBg8ezKpVqwgJCaGgoIDFixdTVlZGt27d+POf/0znzp2pqKhg8eLF5OfnExkZyerVq+nRowd1dXVkZGRw4MABQkJCWLFiBYMHD/bX2xJCCNEGvxaLEEKIHx45wi2EEMKnpFiEEEL4lBSLEEIIn5JiEUII4VM/iGLZu3cv06ZNY/LkycyZM4eCggIAKisrmTdvHhMnTmTmzJne62rq6+tZtGgREydO5M477+To0aNAw4WXTz31FBMmTCA5Odl7qrQ/bN68meTkZMaPH+8dxsafXnzxRVJSUkhJSeHpp58GGoblSUtLY/z48axZs8a7bF5eHunp6SQlJbF06VJc50b/LSwsZObMmUyYMIH58+djt9t9ku2pp55i8eLFQZPpo48+Ij09nYkTJ7JixYqgyJWVleX983vqqacCmqm6uprU1FROnz7t0xyt/bxeTqaNGzeSmppKWloaS5Ysob6+vsMztZSr0VtvvcVdd90VkM/KJ9QPwG233aby8vKUUkq9/fbb6t5771VKKbV8+XL1yiuvKKWU+sc//qEWLFiglFLq1VdfVY8//rhSSqkvvvhCTZ8+XSmlVE5Ojpo7d65yu93q2LFj6o477lBOp9Pnec+cOaNuu+02VV5erux2u0pLS1OHDx/2+es02rFjh/rFL36h6urqVH19vZo9e7bavHmzGjdunDp16pRyOp3q7rvvVtu2bVNKKZWSkqK++uorpZRSS5YsUevXr1dKKTVv3jz1/vvvK6WUevHFF9XTTz99xdl27typRo0apR599FFVU1MT8EynTp1SP/nJT1RRUZGqr69Xv/rVr9S2bdsCmsvhcKgRI0aosrIy5XQ61bRp09SHH34YkExff/21Sk1NVYMHD1b5+fk+/TNr7ef1UjM1/uxWVVUpj8ejHnnkEfX66693aKaWcjU6fPiwuvXWW9WsWbO80zoyly9c81ss9fX1LFiwgIEDBwJwww03UFTUcG/0bdu2kZaWBjQMavnJJ594B7WcNGkS0HRQy48//pjk5GS0Wi19+/alW7dufPXVVz7PfP4AnuHh4d4BPP3FbDazePFiQkJCMBgM9OvXjxMnTtC7d2969uyJXq8nLS2N3NzcFgcPzc3Nxel0snv3bpKSkppMvxIVFRWsWbOGe++9F4B9+/YFPNMHH3xAcnIycXFxGAwG1qxZQ1hYWEBzud1uPB4PNTU1uFwuXC4XJpMpIJk2bdrEsmXLvCNf+PLPrLWf10vNFBISwrJlyzCZTGg0Gq6//noKCws7NFNLuaDh91VGRgb333+/d1pH5/KFa/5GXyEhIUyePBloGJ/sxRdf5PbbbwcufVDL4uLiJn8JGqf72sUG8PS1AQMGeP//xIkT5OTkMGvWrGYZrFbrZQ0eerkyMjJYuHCh94tAS59LR2c6efIkBoOBe++9l6KiIn76058yYMCAgOYymUwsWLCAiRMnEhYWxogRIwL2Wa1cubLJY1/maO3nNTY29pIyxcfHEx/fcAM+m83G+vXrWbVqVYdmaikXwLPPPsvUqVPp0aOHd1pH5/KFa2qLJScnh8TExCb//PrXvwYavgk8/PDDuFwufvvb37a4vrrIoJYtDZzpj8EuLzaAp78cPnyYu+++m0ceeYSePXu2mMEXg4e2x9tvv023bt0YM2aMd1prr91RmaBh62DXrl388Y9/ZOPGjezbt4/8/PyA5jp06BDvvPMO//73v9m+fTtarZYTJ04E/LMC//6ZXenPn9VqZc6cOUydOpVRo0YFPNOOHTsoKipi6tSpTaYHOtfluKa2WCZOnMjEiRObTbfb7cyfP5+oqChefvllDIaGe2E0DmoZFxfX4qCWvXr1Ar4f1DIuLq5DBruMi4tjz5493scXDuDpD3v37uX+++/n97//PSkpKXzxxRctDiLansFDdTrdFWfOzs6mpKSEyZMnc/bsWRwOBwUFBeh03988raMzAXTt2pUxY8YQHR0NwO23305ubm5Ac3366aeMGTOGmJgYoGGXyGuvvRbwzwpaH4z2cnK09vN6OY4ePco999zDXXfdxd13391i1o7O9P7773P48GEmT56Mw+GgtLSUBx54gEWLFgU01+W4prZYWrNo0SJ69+7N2rVrCQn5/q59lzqoZWJiIps3b8btdnPy5ElOnDjB0KFDfZ73YgN4+lpRURG/+93vWL16NSkpKQDcdNNNHD9+nJMnT+J2u3n//fdJTEy8rMFDL8frr7/O+++/T1ZWFvfffz8/+9nPePXVVwOaCeC2227j008/pbKyErfbzfbt25kwYUJAcw0cOJCdO3ficDhQSvHRRx8F/M+vkS9ztPbzeqmqq6v5zW9+w4IFC7ylAr4dGPdyrFq1ipycHLKyslixYgVDhgxh7dq1Ac91WTrmHIHAOXjwoLr++utVcnKymjRpkpo0aZK65557lFJKlZeXq9/+9rcqOTlZ/eIXv/CemVFbW6seeeQRlZycrKZMmaIOHDiglFLK4/GoP/3pTyo5OVklJyer7du3+y33e++9p1JSUtT48ePVX/7yF7+9jlJKPfnkk2r48OHez2fSpElqw4YNaufOnSotLU2NHz9erVy5Unk8HqWUUnl5eWrq1KkqKSlJPfjgg6qurk4ppdTp06fVrFmz1MSJE9Xdd9+tKioqfJLvnXfeUY8++qhSSgVFprffftv7Z7N8+XLldrsDnuuVV15RSUlJKjU1VS1ZskTV1tYGNNNtt93m/XnyVY7Wfl4vNdPrr7+uBg8e3OTv+9q1awOS6cLPqtFnn33W5KywQOS6EjIIpRBCCJ/6QewKE0II0XGkWIQQQviUFIsQQgifkmIRQgjhU1IsQgghfEqKRQghhE9JsQjhJ/v27SMjIyPQMdrl7bff7pDbM4gfBikWIfzkyJEjVzzoZUfZu3cvtbW1gY4hrhHX1FhhQvjTQw89xODBg73DgGzYsIEvvviCMWPG8Oabb6LVaunatSuPP/44oaGhPP/881RVVbFkyRJWrVrFRx99xMsvv4zT6SQ0NJRHH32UH/3oR22+5vHjx8nIyMBms6HVapk/fz7JyckcPnyYJ554goqKCjQaDXfffTdTpkzh888/58knn+T9998HaPL4hRdeoKCggJKSEgoKCoiNjeWZZ57hm2++4aOPPmLHjh2EhoYyc+ZMv3+W4hrXodf5C3EV27Vrl0pNTfU+njZtmtq+fbu6/fbbVVlZmVKqYfiZiRMnKo/Ho9555x01b948pZRSx48fV6mpqcpmsymllPruu+/Uj3/8Y2W329t8zSlTpqi33npLKaVUYWGh+vnPf66qqqrUz3/+c7VlyxalVMON4W699Vb15Zdfqs8++0ylpKR41z//8fPPP+9dXymlfvvb36rnnntOKaXUo48+ql599dUr/oyEUEop2WIRop1GjRpFXV0d+/fvJywsDJvNxo4dO0hOTvaOdpyens7KlSub3Wp2x44dFBcXe2/jAA1DnJ86dcp7E7oLVVRUcOjQIaZPnw5At27d+Ne//sWRI0eoq6tj/PjxAMTGxjJ+/Hi2b9/OqFGj2nwPI0eOxGQyAXDjjTdy9uzZy/oshGiLFIsQ7aTRaJg2bRpZWVkYDAamTZvW4i9mpZT3nuSNPB4PY8aMYe3atd5pRUVFbQ5N33gDp/PvsXHs2DHcbnez+240vmbjfToaXXjXwNDQ0CbvR8lQgcIP5OC9EJfgzjvv5KOPPmLLli2kp6dz6623kp2djc1mA+Cdd94hKiqK3r17o9PpvAUzZswYduzYwdGjRwH4+OOPmTRpUpsHzE0mE4MHD/YOf15UVMSvfvUrOnXqhF6vZ+vWrUDDDau2bNnC2LFjiY6OprCwkLKyMpRS/POf/2zX+zo/qxBXSrZYhLgEZrOZG2+8EZfLRWxsLLGxsfz6179mzpw5eDweoqOjeeWVV9BqtQwfPpyXXnqJ++67jxdffJEnnniCBx98EKUUer2el19+mYiIiDZf79lnn2X58uW8+eabaDQaVq5cSbdu3Vi3bh0rVqzghRdewO1287vf/Y7Ro0cD8Mtf/pKpU6diNpv56U9/yv79+y/6vhITE/nTn/4E0OodVoVoLxk2XwghhE/JFosQAfTee+/x2muvtTgvLS2Ne+65p4MTCXHlZItFCCGET8nBeyGEED4lxSKEEMKnpFiEEEL4lBSLEEIIn5JiEUII4VP/P5+h53hBkEgrAAAAAElFTkSuQmCC",
-                        "text/plain": [
-                            "<Figure size 432x288 with 1 Axes>"
-                        ]
-                    },
-                    "metadata": {},
-                    "output_type": "display_data"
-                }
-            ],
-            "source": [
-                "sns.distplot(data_2['vote_count'])"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 56,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "#q = data_2['revenue'].quantile(0.99)\n",
-                "\n",
-                "data_3 = data_2[data_2['revenue']<1.5e+09]"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 57,
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "text/plain": [
-                            "array([[<AxesSubplot:title={'center':'popularity'}>,\n",
-                            "        <AxesSubplot:title={'center':'revenue'}>],\n",
-                            "       [<AxesSubplot:title={'center':'vote_count'}>, <AxesSubplot:>]],\n",
-                            "      dtype=object)"
-                        ]
-                    },
-                    "execution_count": 57,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                },
-                {
-                    "data": {
-                        "image/png": 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",
-                        "text/plain": [
-                            "<Figure size 1800x1800 with 4 Axes>"
-                        ]
-                    },
-                    "metadata": {},
-                    "output_type": "display_data"
-                }
-            ],
-            "source": [
-                "data_3.hist(figsize=(25,25), bins=50)"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 58,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "data_final = data_3.reset_index(drop=True)"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 59,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "data_final['revenue'] = data_final['revenue'].astype(float)"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 60,
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "text/html": [
-                            "<div>\n",
-                            "<style scoped>\n",
-                            "    .dataframe tbody tr th:only-of-type {\n",
-                            "        vertical-align: middle;\n",
-                            "    }\n",
-                            "\n",
-                            "    .dataframe tbody tr th {\n",
-                            "        vertical-align: top;\n",
-                            "    }\n",
-                            "\n",
-                            "    .dataframe thead th {\n",
-                            "        text-align: right;\n",
-                            "    }\n",
-                            "</style>\n",
-                            "<table border=\"1\" class=\"dataframe\">\n",
-                            "  <thead>\n",
-                            "    <tr style=\"text-align: right;\">\n",
-                            "      <th></th>\n",
-                            "      <th>popularity</th>\n",
-                            "      <th>production_companies</th>\n",
-                            "      <th>revenue</th>\n",
-                            "      <th>title</th>\n",
-                            "      <th>vote_count</th>\n",
-                            "      <th>star</th>\n",
-                            "      <th>new_genres</th>\n",
-                            "    </tr>\n",
-                            "  </thead>\n",
-                            "  <tbody>\n",
-                            "    <tr>\n",
-                            "      <th>0</th>\n",
-                            "      <td>139.082615</td>\n",
-                            "      <td>Walt Disney Pictures</td>\n",
-                            "      <td>9.610000e+08</td>\n",
-                            "      <td>Pirates of the Caribbean: At World's End</td>\n",
-                            "      <td>4500</td>\n",
-                            "      <td>Johnny Depp</td>\n",
-                            "      <td>Adventure,Fantasy</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>1</th>\n",
-                            "      <td>107.376788</td>\n",
-                            "      <td>Columbia Pictures</td>\n",
-                            "      <td>8.806746e+08</td>\n",
-                            "      <td>Spectre</td>\n",
-                            "      <td>4466</td>\n",
-                            "      <td>Daniel Craig</td>\n",
-                            "      <td>Action,Adventure</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>2</th>\n",
-                            "      <td>112.312950</td>\n",
-                            "      <td>Legendary Pictures</td>\n",
-                            "      <td>1.084939e+09</td>\n",
-                            "      <td>The Dark Knight Rises</td>\n",
-                            "      <td>9106</td>\n",
-                            "      <td>Christian Bale</td>\n",
-                            "      <td>Action,Crime</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>3</th>\n",
-                            "      <td>43.926995</td>\n",
-                            "      <td>Walt Disney Pictures</td>\n",
-                            "      <td>2.841391e+08</td>\n",
-                            "      <td>John Carter</td>\n",
-                            "      <td>2124</td>\n",
-                            "      <td>Taylor Kitsch</td>\n",
-                            "      <td>Action,Adventure</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>4</th>\n",
-                            "      <td>115.699814</td>\n",
-                            "      <td>Columbia Pictures</td>\n",
-                            "      <td>8.908716e+08</td>\n",
-                            "      <td>Spider-Man 3</td>\n",
-                            "      <td>3576</td>\n",
-                            "      <td>Tobey Maguire</td>\n",
-                            "      <td>Fantasy,Action</td>\n",
-                            "    </tr>\n",
-                            "  </tbody>\n",
-                            "</table>\n",
-                            "</div>"
-                        ],
-                        "text/plain": [
-                            "   popularity  production_companies       revenue  \\\n",
-                            "0  139.082615  Walt Disney Pictures  9.610000e+08   \n",
-                            "1  107.376788     Columbia Pictures  8.806746e+08   \n",
-                            "2  112.312950    Legendary Pictures  1.084939e+09   \n",
-                            "3   43.926995  Walt Disney Pictures  2.841391e+08   \n",
-                            "4  115.699814     Columbia Pictures  8.908716e+08   \n",
-                            "\n",
-                            "                                      title  vote_count            star  \\\n",
-                            "0  Pirates of the Caribbean: At World's End        4500     Johnny Depp   \n",
-                            "1                                   Spectre        4466    Daniel Craig   \n",
-                            "2                     The Dark Knight Rises        9106  Christian Bale   \n",
-                            "3                               John Carter        2124   Taylor Kitsch   \n",
-                            "4                              Spider-Man 3        3576   Tobey Maguire   \n",
-                            "\n",
-                            "          new_genres  \n",
-                            "0  Adventure,Fantasy  \n",
-                            "1   Action,Adventure  \n",
-                            "2       Action,Crime  \n",
-                            "3   Action,Adventure  \n",
-                            "4     Fantasy,Action  "
-                        ]
-                    },
-                    "execution_count": 60,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                }
-            ],
-            "source": [
-                "data_final.head()"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 61,
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "text/html": [
-                            "<div>\n",
-                            "<style scoped>\n",
-                            "    .dataframe tbody tr th:only-of-type {\n",
-                            "        vertical-align: middle;\n",
-                            "    }\n",
-                            "\n",
-                            "    .dataframe tbody tr th {\n",
-                            "        vertical-align: top;\n",
-                            "    }\n",
-                            "\n",
-                            "    .dataframe thead th {\n",
-                            "        text-align: right;\n",
-                            "    }\n",
-                            "</style>\n",
-                            "<table border=\"1\" class=\"dataframe\">\n",
-                            "  <thead>\n",
-                            "    <tr style=\"text-align: right;\">\n",
-                            "      <th></th>\n",
-                            "      <th>popularity</th>\n",
-                            "      <th>production_companies</th>\n",
-                            "      <th>revenue</th>\n",
-                            "      <th>title</th>\n",
-                            "      <th>vote_count</th>\n",
-                            "      <th>star</th>\n",
-                            "      <th>new_genres</th>\n",
-                            "    </tr>\n",
-                            "  </thead>\n",
-                            "  <tbody>\n",
-                            "    <tr>\n",
-                            "      <th>count</th>\n",
-                            "      <td>1205.000000</td>\n",
-                            "      <td>1205</td>\n",
-                            "      <td>1.205000e+03</td>\n",
-                            "      <td>1205</td>\n",
-                            "      <td>1205.000000</td>\n",
-                            "      <td>1205</td>\n",
-                            "      <td>1205</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>unique</th>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>413</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>1204</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>659</td>\n",
-                            "      <td>132</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>top</th>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>Universal Pictures</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>The Host</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>Matt Damon</td>\n",
-                            "      <td>Comedy,Drama</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>freq</th>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>91</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>2</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>14</td>\n",
-                            "      <td>73</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>mean</th>\n",
-                            "      <td>35.267109</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>1.622383e+08</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>1383.145228</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>std</th>\n",
-                            "      <td>29.569232</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>2.255582e+08</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>1693.870514</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>min</th>\n",
-                            "      <td>0.132878</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>0.000000e+00</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>9.000000</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>25%</th>\n",
-                            "      <td>13.707843</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>1.525000e+07</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>277.000000</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>50%</th>\n",
-                            "      <td>27.082182</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>7.210861e+07</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>705.000000</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>75%</th>\n",
-                            "      <td>46.630062</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>2.034276e+08</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>1798.000000</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>max</th>\n",
-                            "      <td>167.932870</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>1.405404e+09</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>13752.000000</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "    </tr>\n",
-                            "  </tbody>\n",
-                            "</table>\n",
-                            "</div>"
-                        ],
-                        "text/plain": [
-                            "         popularity production_companies       revenue     title  \\\n",
-                            "count   1205.000000                 1205  1.205000e+03      1205   \n",
-                            "unique          NaN                  413           NaN      1204   \n",
-                            "top             NaN   Universal Pictures           NaN  The Host   \n",
-                            "freq            NaN                   91           NaN         2   \n",
-                            "mean      35.267109                  NaN  1.622383e+08       NaN   \n",
-                            "std       29.569232                  NaN  2.255582e+08       NaN   \n",
-                            "min        0.132878                  NaN  0.000000e+00       NaN   \n",
-                            "25%       13.707843                  NaN  1.525000e+07       NaN   \n",
-                            "50%       27.082182                  NaN  7.210861e+07       NaN   \n",
-                            "75%       46.630062                  NaN  2.034276e+08       NaN   \n",
-                            "max      167.932870                  NaN  1.405404e+09       NaN   \n",
-                            "\n",
-                            "          vote_count        star    new_genres  \n",
-                            "count    1205.000000        1205          1205  \n",
-                            "unique           NaN         659           132  \n",
-                            "top              NaN  Matt Damon  Comedy,Drama  \n",
-                            "freq             NaN          14            73  \n",
-                            "mean     1383.145228         NaN           NaN  \n",
-                            "std      1693.870514         NaN           NaN  \n",
-                            "min         9.000000         NaN           NaN  \n",
-                            "25%       277.000000         NaN           NaN  \n",
-                            "50%       705.000000         NaN           NaN  \n",
-                            "75%      1798.000000         NaN           NaN  \n",
-                            "max     13752.000000         NaN           NaN  "
-                        ]
-                    },
-                    "execution_count": 61,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                }
-            ],
-            "source": [
-                "data_final.describe(include='all')"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 62,
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "text/plain": [
-                            "popularity              0\n",
-                            "production_companies    0\n",
-                            "revenue                 0\n",
-                            "title                   0\n",
-                            "vote_count              0\n",
-                            "star                    0\n",
-                            "new_genres              0\n",
-                            "dtype: int64"
-                        ]
-                    },
-                    "execution_count": 62,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                }
-            ],
-            "source": [
-                "data_final.isnull().sum()"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 63,
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "text/plain": [
-                            "array(['popularity', 'production_companies', 'revenue', 'title',\n",
-                            "       'vote_count', 'star', 'new_genres'], dtype=object)"
-                        ]
-                    },
-                    "execution_count": 63,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                }
-            ],
-            "source": [
-                "data_final.columns.values"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 64,
-            "metadata": {},
-            "outputs": [
-                {
-                    "name": "stdout",
-                    "output_type": "stream",
-                    "text": [
-                        "<class 'pandas.core.frame.DataFrame'>\n",
-                        "RangeIndex: 1205 entries, 0 to 1204\n",
-                        "Data columns (total 7 columns):\n",
-                        " #   Column                Non-Null Count  Dtype  \n",
-                        "---  ------                --------------  -----  \n",
-                        " 0   popularity            1205 non-null   float64\n",
-                        " 1   production_companies  1205 non-null   object \n",
-                        " 2   revenue               1205 non-null   float64\n",
-                        " 3   title                 1205 non-null   object \n",
-                        " 4   vote_count            1205 non-null   int64  \n",
-                        " 5   star                  1205 non-null   object \n",
-                        " 6   new_genres            1205 non-null   object \n",
-                        "dtypes: float64(2), int64(1), object(4)\n",
-                        "memory usage: 66.0+ KB\n"
-                    ]
-                }
-            ],
-            "source": [
-                "data_final.info()"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 65,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "from statsmodels.stats.outliers_influence import variance_inflation_factor\n",
-                "\n",
-                "# Since categorical data is not preprocessed, take only the numerical data.\n",
-                "variables = data_final[['revenue', 'vote_count']]\n",
-                "\n",
-                "# Create a new data frame which includes all VIFs (Variance Inflation Factor)\n",
-                "# Each variable has its own variance inflation factor. This measure is variable specific\n",
-                "vif = pd.DataFrame()\n",
-                "\n",
-                "# Make use of the variance_inflation_factor module, output the respective VIFs \n",
-                "vif[\"VIF\"] = [variance_inflation_factor(variables.values, i) for i in range(variables.shape[1])]\n",
-                "\n",
-                "# Include variable names so it is easier to explore the result\n",
-                "vif[\"Features\"] = variables.columns"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 66,
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "text/html": [
-                            "<div>\n",
-                            "<style scoped>\n",
-                            "    .dataframe tbody tr th:only-of-type {\n",
-                            "        vertical-align: middle;\n",
-                            "    }\n",
-                            "\n",
-                            "    .dataframe tbody tr th {\n",
-                            "        vertical-align: top;\n",
-                            "    }\n",
-                            "\n",
-                            "    .dataframe thead th {\n",
-                            "        text-align: right;\n",
-                            "    }\n",
-                            "</style>\n",
-                            "<table border=\"1\" class=\"dataframe\">\n",
-                            "  <thead>\n",
-                            "    <tr style=\"text-align: right;\">\n",
-                            "      <th></th>\n",
-                            "      <th>VIF</th>\n",
-                            "      <th>Features</th>\n",
-                            "    </tr>\n",
-                            "  </thead>\n",
-                            "  <tbody>\n",
-                            "    <tr>\n",
-                            "      <th>0</th>\n",
-                            "      <td>3.741807</td>\n",
-                            "      <td>revenue</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>1</th>\n",
-                            "      <td>3.741807</td>\n",
-                            "      <td>vote_count</td>\n",
-                            "    </tr>\n",
-                            "  </tbody>\n",
-                            "</table>\n",
-                            "</div>"
-                        ],
-                        "text/plain": [
-                            "        VIF    Features\n",
-                            "0  3.741807     revenue\n",
-                            "1  3.741807  vote_count"
-                        ]
-                    },
-                    "execution_count": 66,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                }
-            ],
-            "source": [
-                "# Explore the result\n",
-                "vif"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 67,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "# Remove 'Year' as feature with the highest VIF from the model\n",
-                "data_final = data_final.drop(['star', 'production_companies'],axis=1)"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 68,
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "text/html": [
-                            "<div>\n",
-                            "<style scoped>\n",
-                            "    .dataframe tbody tr th:only-of-type {\n",
-                            "        vertical-align: middle;\n",
-                            "    }\n",
-                            "\n",
-                            "    .dataframe tbody tr th {\n",
-                            "        vertical-align: top;\n",
-                            "    }\n",
-                            "\n",
-                            "    .dataframe thead th {\n",
-                            "        text-align: right;\n",
-                            "    }\n",
-                            "</style>\n",
-                            "<table border=\"1\" class=\"dataframe\">\n",
-                            "  <thead>\n",
-                            "    <tr style=\"text-align: right;\">\n",
-                            "      <th></th>\n",
-                            "      <th>popularity</th>\n",
-                            "      <th>revenue</th>\n",
-                            "      <th>title</th>\n",
-                            "      <th>vote_count</th>\n",
-                            "      <th>new_genres</th>\n",
-                            "    </tr>\n",
-                            "  </thead>\n",
-                            "  <tbody>\n",
-                            "    <tr>\n",
-                            "      <th>count</th>\n",
-                            "      <td>1205.000000</td>\n",
-                            "      <td>1.205000e+03</td>\n",
-                            "      <td>1205</td>\n",
-                            "      <td>1205.000000</td>\n",
-                            "      <td>1205</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>unique</th>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>1204</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>132</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>top</th>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>The Host</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>Comedy,Drama</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>freq</th>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>2</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>73</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>mean</th>\n",
-                            "      <td>35.267109</td>\n",
-                            "      <td>1.622383e+08</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>1383.145228</td>\n",
-                            "      <td>NaN</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>std</th>\n",
-                            "      <td>29.569232</td>\n",
-                            "      <td>2.255582e+08</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>1693.870514</td>\n",
-                            "      <td>NaN</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>min</th>\n",
-                            "      <td>0.132878</td>\n",
-                            "      <td>0.000000e+00</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>9.000000</td>\n",
-                            "      <td>NaN</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>25%</th>\n",
-                            "      <td>13.707843</td>\n",
-                            "      <td>1.525000e+07</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>277.000000</td>\n",
-                            "      <td>NaN</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>50%</th>\n",
-                            "      <td>27.082182</td>\n",
-                            "      <td>7.210861e+07</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>705.000000</td>\n",
-                            "      <td>NaN</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>75%</th>\n",
-                            "      <td>46.630062</td>\n",
-                            "      <td>2.034276e+08</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>1798.000000</td>\n",
-                            "      <td>NaN</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>max</th>\n",
-                            "      <td>167.932870</td>\n",
-                            "      <td>1.405404e+09</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>13752.000000</td>\n",
-                            "      <td>NaN</td>\n",
-                            "    </tr>\n",
-                            "  </tbody>\n",
-                            "</table>\n",
-                            "</div>"
-                        ],
-                        "text/plain": [
-                            "         popularity       revenue     title    vote_count    new_genres\n",
-                            "count   1205.000000  1.205000e+03      1205   1205.000000          1205\n",
-                            "unique          NaN           NaN      1204           NaN           132\n",
-                            "top             NaN           NaN  The Host           NaN  Comedy,Drama\n",
-                            "freq            NaN           NaN         2           NaN            73\n",
-                            "mean      35.267109  1.622383e+08       NaN   1383.145228           NaN\n",
-                            "std       29.569232  2.255582e+08       NaN   1693.870514           NaN\n",
-                            "min        0.132878  0.000000e+00       NaN      9.000000           NaN\n",
-                            "25%       13.707843  1.525000e+07       NaN    277.000000           NaN\n",
-                            "50%       27.082182  7.210861e+07       NaN    705.000000           NaN\n",
-                            "75%       46.630062  2.034276e+08       NaN   1798.000000           NaN\n",
-                            "max      167.932870  1.405404e+09       NaN  13752.000000           NaN"
-                        ]
-                    },
-                    "execution_count": 68,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                }
-            ],
-            "source": [
-                "data_final.describe(include='all')"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 69,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "data_with_dummies = pd.get_dummies(data_final, drop_first=True)"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 70,
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "text/html": [
-                            "<div>\n",
-                            "<style scoped>\n",
-                            "    .dataframe tbody tr th:only-of-type {\n",
-                            "        vertical-align: middle;\n",
-                            "    }\n",
-                            "\n",
-                            "    .dataframe tbody tr th {\n",
-                            "        vertical-align: top;\n",
-                            "    }\n",
-                            "\n",
-                            "    .dataframe thead th {\n",
-                            "        text-align: right;\n",
-                            "    }\n",
-                            "</style>\n",
-                            "<table border=\"1\" class=\"dataframe\">\n",
-                            "  <thead>\n",
-                            "    <tr style=\"text-align: right;\">\n",
-                            "      <th></th>\n",
-                            "      <th>popularity</th>\n",
-                            "      <th>revenue</th>\n",
-                            "      <th>vote_count</th>\n",
-                            "      <th>title_(500) Days of Summer</th>\n",
-                            "      <th>title_10 Cloverfield Lane</th>\n",
-                            "      <th>title_12 Rounds</th>\n",
-                            "      <th>title_13 Hours: The Secret Soldiers of Benghazi</th>\n",
-                            "      <th>title_1408</th>\n",
-                            "      <th>title_1911</th>\n",
-                            "      <th>title_2 Guns</th>\n",
-                            "      <th>...</th>\n",
-                            "      <th>new_genres_Thriller,Crime</th>\n",
-                            "      <th>new_genres_Thriller,Documentary</th>\n",
-                            "      <th>new_genres_Thriller,Drama</th>\n",
-                            "      <th>new_genres_Thriller,Horror</th>\n",
-                            "      <th>new_genres_Thriller,Mystery</th>\n",
-                            "      <th>new_genres_Thriller,Science Fiction</th>\n",
-                            "      <th>new_genres_War,Action</th>\n",
-                            "      <th>new_genres_War,Crime</th>\n",
-                            "      <th>new_genres_War,Drama</th>\n",
-                            "      <th>new_genres_Western,Drama</th>\n",
-                            "    </tr>\n",
-                            "  </thead>\n",
-                            "  <tbody>\n",
-                            "    <tr>\n",
-                            "      <th>0</th>\n",
-                            "      <td>139.082615</td>\n",
-                            "      <td>9.610000e+08</td>\n",
-                            "      <td>4500</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>...</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>1</th>\n",
-                            "      <td>107.376788</td>\n",
-                            "      <td>8.806746e+08</td>\n",
-                            "      <td>4466</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>...</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>2</th>\n",
-                            "      <td>112.312950</td>\n",
-                            "      <td>1.084939e+09</td>\n",
-                            "      <td>9106</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>...</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>3</th>\n",
-                            "      <td>43.926995</td>\n",
-                            "      <td>2.841391e+08</td>\n",
-                            "      <td>2124</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>...</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>4</th>\n",
-                            "      <td>115.699814</td>\n",
-                            "      <td>8.908716e+08</td>\n",
-                            "      <td>3576</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>...</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "    </tr>\n",
-                            "  </tbody>\n",
-                            "</table>\n",
-                            "<p>5 rows \u00d7 1337 columns</p>\n",
-                            "</div>"
-                        ],
-                        "text/plain": [
-                            "   popularity       revenue  vote_count  title_(500) Days of Summer  \\\n",
-                            "0  139.082615  9.610000e+08        4500                           0   \n",
-                            "1  107.376788  8.806746e+08        4466                           0   \n",
-                            "2  112.312950  1.084939e+09        9106                           0   \n",
-                            "3   43.926995  2.841391e+08        2124                           0   \n",
-                            "4  115.699814  8.908716e+08        3576                           0   \n",
-                            "\n",
-                            "   title_10 Cloverfield Lane  title_12 Rounds  \\\n",
-                            "0                          0                0   \n",
-                            "1                          0                0   \n",
-                            "2                          0                0   \n",
-                            "3                          0                0   \n",
-                            "4                          0                0   \n",
-                            "\n",
-                            "   title_13 Hours: The Secret Soldiers of Benghazi  title_1408  title_1911  \\\n",
-                            "0                                                0           0           0   \n",
-                            "1                                                0           0           0   \n",
-                            "2                                                0           0           0   \n",
-                            "3                                                0           0           0   \n",
-                            "4                                                0           0           0   \n",
-                            "\n",
-                            "   title_2 Guns  ...  new_genres_Thriller,Crime  \\\n",
-                            "0             0  ...                          0   \n",
-                            "1             0  ...                          0   \n",
-                            "2             0  ...                          0   \n",
-                            "3             0  ...                          0   \n",
-                            "4             0  ...                          0   \n",
-                            "\n",
-                            "   new_genres_Thriller,Documentary  new_genres_Thriller,Drama  \\\n",
-                            "0                                0                          0   \n",
-                            "1                                0                          0   \n",
-                            "2                                0                          0   \n",
-                            "3                                0                          0   \n",
-                            "4                                0                          0   \n",
-                            "\n",
-                            "   new_genres_Thriller,Horror  new_genres_Thriller,Mystery  \\\n",
-                            "0                           0                            0   \n",
-                            "1                           0                            0   \n",
-                            "2                           0                            0   \n",
-                            "3                           0                            0   \n",
-                            "4                           0                            0   \n",
-                            "\n",
-                            "   new_genres_Thriller,Science Fiction  new_genres_War,Action  \\\n",
-                            "0                                    0                      0   \n",
-                            "1                                    0                      0   \n",
-                            "2                                    0                      0   \n",
-                            "3                                    0                      0   \n",
-                            "4                                    0                      0   \n",
-                            "\n",
-                            "   new_genres_War,Crime  new_genres_War,Drama  new_genres_Western,Drama  \n",
-                            "0                     0                     0                         0  \n",
-                            "1                     0                     0                         0  \n",
-                            "2                     0                     0                         0  \n",
-                            "3                     0                     0                         0  \n",
-                            "4                     0                     0                         0  \n",
-                            "\n",
-                            "[5 rows x 1337 columns]"
-                        ]
-                    },
-                    "execution_count": 70,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                }
-            ],
-            "source": [
-                "data_with_dummies.head()"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 71,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "target = data_with_dummies['popularity']\n",
-                "predictors = data_with_dummies.drop(['popularity'],axis=1)"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 72,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "# 80-20 split into training and test data\n",
-                "X_train, X_test, y_train, y_test = train_test_split(predictors, target, test_size=0.2, random_state=123)"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 73,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "scaler = StandardScaler()\n",
-                "scaler.fit(X_train)\n",
-                "\n",
-                "X_train = scaler.transform(X_train)\n",
-                "X_test = scaler.transform(X_test)"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 74,
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "text/plain": [
-                            "LinearRegression()"
-                        ]
-                    },
-                    "execution_count": 74,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                }
-            ],
-            "source": [
-                "reg = LinearRegression()\n",
-                "reg.fit(X_train,y_train)"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 75,
-            "metadata": {},
-            "outputs": [
-                {
-                    "name": "stdout",
-                    "output_type": "stream",
-                    "text": [
-                        "training performance\n",
-                        "1.0\n",
-                        "test performance\n",
-                        "0.5546065264388957\n"
-                    ]
-                }
-            ],
-            "source": [
-                "print('training performance')\n",
-                "print(reg.score(X_train,y_train))\n",
-                "print('test performance')\n",
-                "print(reg.score(X_test,y_test))"
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "metadata": {},
-            "source": [
-                "## 4.2 Lineare Regression"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 76,
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "image/png": 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",
-                        "text/plain": [
-                            "<Figure size 1152x576 with 1 Axes>"
-                        ]
-                    },
-                    "metadata": {},
-                    "output_type": "display_data"
-                },
-                {
-                    "data": {
-                        "image/png": 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",
-                        "text/plain": [
-                            "<Figure size 432x432 with 3 Axes>"
-                        ]
-                    },
-                    "metadata": {},
-                    "output_type": "display_data"
-                }
-            ],
-            "source": [
-                "y_pred = reg.predict(X_test)\n",
-                "test = pd.DataFrame({'Predicted':y_pred,'Actual':y_test})\n",
-                "fig= plt.figure(figsize=(16,8))\n",
-                "test = test.reset_index()\n",
-                "test = test.drop(['index'],axis=1)\n",
-                "plt.plot(test[:50])\n",
-                "plt.legend(['Actual','Predicted'])\n",
-                "sns.jointplot(x='Actual',y='Predicted',data=test,kind='reg',);"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": null,
-            "metadata": {},
-            "outputs": [],
-            "source": []
-        },
-        {
-            "cell_type": "code",
-            "execution_count": null,
-            "metadata": {},
-            "outputs": [],
-            "source": []
-        },
-        {
-            "cell_type": "code",
-            "execution_count": null,
-            "metadata": {},
-            "outputs": [],
-            "source": []
-        },
-        {
-            "cell_type": "code",
-            "execution_count": null,
-            "metadata": {},
-            "outputs": [],
-            "source": []
-        },
-        {
-            "cell_type": "code",
-            "execution_count": null,
-            "metadata": {},
-            "outputs": [],
-            "source": []
-        },
-        {
-            "cell_type": "code",
-            "execution_count": null,
-            "metadata": {},
-            "outputs": [],
-            "source": []
-        }
-    ],
-    "metadata": {
-        "kernelspec": {
-            "display_name": "Python 3",
-            "language": "python",
-            "name": "python3"
-        },
-        "language_info": {
-            "codemirror_mode": {
-                "name": "ipython",
-                "version": 3
-            },
-            "file_extension": ".py",
-            "mimetype": "text/x-python",
-            "name": "python",
-            "nbconvert_exporter": "python",
-            "pygments_lexer": "ipython3",
-            "version": "3.8.5"
-        },
-        "title": "Increase customer satisfaction",
-        "category": "CRM"
+ "cells": [
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {
+    "editable": true,
+    "include": true,
+    "paragraph": "BusinessUnderstanding",
+    "slideshow": {
+     "slide_type": ""
     },
-    "nbformat": 4,
-    "nbformat_minor": 4
-}
\ No newline at end of file
+    "tags": []
+   },
+   "source": [
+    "# 1. Business Understanding\n",
+    "\n",
+    "Aufgrund der großen Auswahl, die Netflix zu bieten hat, ist es für die Nutzer schwierig, geeignete Filme für sich zu finden. Die Suche in der Bibliothek nimmt viel Zeit in Anspruch und schafft ein schlechtes Nutzererlebnis, was wiederum zu höheren Abbruchquoten führt.\n",
+    "Um die Abbruchquoten zu senken, muss geprüft werden, ob die Kundenzufriedenheit durch die Anwendung von maschinellem Lernen in Bezug auf Filmempfehlungen erhöht werden kann.\n",
+    "\n",
+    "\n",
+    "Der Datensatz enthält Filmdaten aus dem tmdb Dataset.\n",
+    "Finden Sie heraus, welche Faktoren auf der Grundlage der Daten über die Beliebtheit oder Bewertung der Filme ergriffen werden können, um Strategien für das Unternehmen zu entwickeln.\n",
+    "Basierend auf dem obigen Geschäftsproblem definieren wir die abhängige Variable (y)\n",
+    "\n",
+    "Problem 1: y = Popularität / Voting-Durchschnitt (Regressionsproblem)"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {
+    "editable": true,
+    "include": true,
+    "paragraph": "DataUnderstanding",
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
+   "source": [
+    "# 2. Daten und Datenverständnis\n",
+    "\n",
+    "Aus dem Datensatz ist ersichtlich, dass sowohl Zahlen als auch kategoriale Werte enthalten sind. Jede Kategorie bezieht sich auf den entsprechenden Film in der Zeile. So enthält beispielsweise die Spalte \"Crew\" mehrere Mitwirkende wie Autoren, Filmeditor usw., während \"Cast\" die Schauspieler enthält, die in den jeweiligen Filmen mitspielen. Außerdem hat jeder Film eine eindeutige ID, z. B. movie_id/id, die identisch ist und es ermöglicht, beide Datensätze zu kombinieren. Alle Daten sind sehr verständlich und selbsterklärend, und der Inhalt ist auf kaggle.com ausdrücklich beschrieben."
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 2.1 Import von relevanten Modulen"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "import statsmodels.api as sm\n",
+    "import matplotlib.pyplot as plt\n",
+    "from sklearn.preprocessing import StandardScaler\n",
+    "from sklearn.model_selection import train_test_split\n",
+    "from sklearn.tree import DecisionTreeClassifier\n",
+    "from sklearn.linear_model import LogisticRegression\n",
+    "from sklearn.ensemble import RandomForestClassifier\n",
+    "from sklearn import metrics\n",
+    "from sklearn.linear_model import LinearRegression\n",
+    "from sklearn.metrics import confusion_matrix, classification_report\n",
+    "import seaborn as sns\n",
+    "sns.set()\n",
+    "\n",
+    "\n",
+    "# statsmodels benötigt diese Funktion (chisqprob) von skipy für Berichte\n",
+    "from scipy import stats\n",
+    "stats.chisqprob = lambda chisq, df: stats.chi2.sf(chisq, df)"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 2.2 Daten einlesen"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "original_data = pd.read_csv('https://storage.googleapis.com/ml-service-repository-datastorage/Increase_customer_satisfaction_tmdb_5000_movies.csv')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "original_data2 = pd.read_csv('https://storage.googleapis.com/ml-service-repository-datastorage/Increase_customer_satisfaction_tmdb_5000_credits.csv')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "original_data = pd.merge(original_data, original_data2)"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Datenverständnis"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>budget</th>\n",
+       "      <th>genres</th>\n",
+       "      <th>homepage</th>\n",
+       "      <th>id</th>\n",
+       "      <th>keywords</th>\n",
+       "      <th>original_language</th>\n",
+       "      <th>original_title</th>\n",
+       "      <th>overview</th>\n",
+       "      <th>popularity</th>\n",
+       "      <th>production_companies</th>\n",
+       "      <th>...</th>\n",
+       "      <th>runtime</th>\n",
+       "      <th>spoken_languages</th>\n",
+       "      <th>status</th>\n",
+       "      <th>tagline</th>\n",
+       "      <th>title</th>\n",
+       "      <th>vote_average</th>\n",
+       "      <th>vote_count</th>\n",
+       "      <th>movie_id</th>\n",
+       "      <th>cast</th>\n",
+       "      <th>crew</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>237000000</td>\n",
+       "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...</td>\n",
+       "      <td>http://www.avatarmovie.com/</td>\n",
+       "      <td>19995</td>\n",
+       "      <td>[{\"id\": 1463, \"name\": \"culture clash\"}, {\"id\":...</td>\n",
+       "      <td>en</td>\n",
+       "      <td>Avatar</td>\n",
+       "      <td>In the 22nd century, a paraplegic Marine is di...</td>\n",
+       "      <td>150.437577</td>\n",
+       "      <td>[{\"name\": \"Ingenious Film Partners\", \"id\": 289...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>162.0</td>\n",
+       "      <td>[{\"iso_639_1\": \"en\", \"name\": \"English\"}, {\"iso...</td>\n",
+       "      <td>Released</td>\n",
+       "      <td>Enter the World of Pandora.</td>\n",
+       "      <td>Avatar</td>\n",
+       "      <td>7.2</td>\n",
+       "      <td>11800</td>\n",
+       "      <td>19995</td>\n",
+       "      <td>[{\"cast_id\": 242, \"character\": \"Jake Sully\", \"...</td>\n",
+       "      <td>[{\"credit_id\": \"52fe48009251416c750aca23\", \"de...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>300000000</td>\n",
+       "      <td>[{\"id\": 12, \"name\": \"Adventure\"}, {\"id\": 14, \"...</td>\n",
+       "      <td>http://disney.go.com/disneypictures/pirates/</td>\n",
+       "      <td>285</td>\n",
+       "      <td>[{\"id\": 270, \"name\": \"ocean\"}, {\"id\": 726, \"na...</td>\n",
+       "      <td>en</td>\n",
+       "      <td>Pirates of the Caribbean: At World's End</td>\n",
+       "      <td>Captain Barbossa, long believed to be dead, ha...</td>\n",
+       "      <td>139.082615</td>\n",
+       "      <td>[{\"name\": \"Walt Disney Pictures\", \"id\": 2}, {\"...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>169.0</td>\n",
+       "      <td>[{\"iso_639_1\": \"en\", \"name\": \"English\"}]</td>\n",
+       "      <td>Released</td>\n",
+       "      <td>At the end of the world, the adventure begins.</td>\n",
+       "      <td>Pirates of the Caribbean: At World's End</td>\n",
+       "      <td>6.9</td>\n",
+       "      <td>4500</td>\n",
+       "      <td>285</td>\n",
+       "      <td>[{\"cast_id\": 4, \"character\": \"Captain Jack Spa...</td>\n",
+       "      <td>[{\"credit_id\": \"52fe4232c3a36847f800b579\", \"de...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>245000000</td>\n",
+       "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...</td>\n",
+       "      <td>http://www.sonypictures.com/movies/spectre/</td>\n",
+       "      <td>206647</td>\n",
+       "      <td>[{\"id\": 470, \"name\": \"spy\"}, {\"id\": 818, \"name...</td>\n",
+       "      <td>en</td>\n",
+       "      <td>Spectre</td>\n",
+       "      <td>A cryptic message from Bond’s past sends him o...</td>\n",
+       "      <td>107.376788</td>\n",
+       "      <td>[{\"name\": \"Columbia Pictures\", \"id\": 5}, {\"nam...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>148.0</td>\n",
+       "      <td>[{\"iso_639_1\": \"fr\", \"name\": \"Fran\\u00e7ais\"},...</td>\n",
+       "      <td>Released</td>\n",
+       "      <td>A Plan No One Escapes</td>\n",
+       "      <td>Spectre</td>\n",
+       "      <td>6.3</td>\n",
+       "      <td>4466</td>\n",
+       "      <td>206647</td>\n",
+       "      <td>[{\"cast_id\": 1, \"character\": \"James Bond\", \"cr...</td>\n",
+       "      <td>[{\"credit_id\": \"54805967c3a36829b5002c41\", \"de...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>250000000</td>\n",
+       "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 80, \"nam...</td>\n",
+       "      <td>http://www.thedarkknightrises.com/</td>\n",
+       "      <td>49026</td>\n",
+       "      <td>[{\"id\": 849, \"name\": \"dc comics\"}, {\"id\": 853,...</td>\n",
+       "      <td>en</td>\n",
+       "      <td>The Dark Knight Rises</td>\n",
+       "      <td>Following the death of District Attorney Harve...</td>\n",
+       "      <td>112.312950</td>\n",
+       "      <td>[{\"name\": \"Legendary Pictures\", \"id\": 923}, {\"...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>165.0</td>\n",
+       "      <td>[{\"iso_639_1\": \"en\", \"name\": \"English\"}]</td>\n",
+       "      <td>Released</td>\n",
+       "      <td>The Legend Ends</td>\n",
+       "      <td>The Dark Knight Rises</td>\n",
+       "      <td>7.6</td>\n",
+       "      <td>9106</td>\n",
+       "      <td>49026</td>\n",
+       "      <td>[{\"cast_id\": 2, \"character\": \"Bruce Wayne / Ba...</td>\n",
+       "      <td>[{\"credit_id\": \"52fe4781c3a36847f81398c3\", \"de...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>260000000</td>\n",
+       "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...</td>\n",
+       "      <td>http://movies.disney.com/john-carter</td>\n",
+       "      <td>49529</td>\n",
+       "      <td>[{\"id\": 818, \"name\": \"based on novel\"}, {\"id\":...</td>\n",
+       "      <td>en</td>\n",
+       "      <td>John Carter</td>\n",
+       "      <td>John Carter is a war-weary, former military ca...</td>\n",
+       "      <td>43.926995</td>\n",
+       "      <td>[{\"name\": \"Walt Disney Pictures\", \"id\": 2}]</td>\n",
+       "      <td>...</td>\n",
+       "      <td>132.0</td>\n",
+       "      <td>[{\"iso_639_1\": \"en\", \"name\": \"English\"}]</td>\n",
+       "      <td>Released</td>\n",
+       "      <td>Lost in our world, found in another.</td>\n",
+       "      <td>John Carter</td>\n",
+       "      <td>6.1</td>\n",
+       "      <td>2124</td>\n",
+       "      <td>49529</td>\n",
+       "      <td>[{\"cast_id\": 5, \"character\": \"John Carter\", \"c...</td>\n",
+       "      <td>[{\"credit_id\": \"52fe479ac3a36847f813eaa3\", \"de...</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>5 rows × 23 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      budget                                             genres  \\\n",
+       "0  237000000  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...   \n",
+       "1  300000000  [{\"id\": 12, \"name\": \"Adventure\"}, {\"id\": 14, \"...   \n",
+       "2  245000000  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...   \n",
+       "3  250000000  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 80, \"nam...   \n",
+       "4  260000000  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...   \n",
+       "\n",
+       "                                       homepage      id  \\\n",
+       "0                   http://www.avatarmovie.com/   19995   \n",
+       "1  http://disney.go.com/disneypictures/pirates/     285   \n",
+       "2   http://www.sonypictures.com/movies/spectre/  206647   \n",
+       "3            http://www.thedarkknightrises.com/   49026   \n",
+       "4          http://movies.disney.com/john-carter   49529   \n",
+       "\n",
+       "                                            keywords original_language  \\\n",
+       "0  [{\"id\": 1463, \"name\": \"culture clash\"}, {\"id\":...                en   \n",
+       "1  [{\"id\": 270, \"name\": \"ocean\"}, {\"id\": 726, \"na...                en   \n",
+       "2  [{\"id\": 470, \"name\": \"spy\"}, {\"id\": 818, \"name...                en   \n",
+       "3  [{\"id\": 849, \"name\": \"dc comics\"}, {\"id\": 853,...                en   \n",
+       "4  [{\"id\": 818, \"name\": \"based on novel\"}, {\"id\":...                en   \n",
+       "\n",
+       "                             original_title  \\\n",
+       "0                                    Avatar   \n",
+       "1  Pirates of the Caribbean: At World's End   \n",
+       "2                                   Spectre   \n",
+       "3                     The Dark Knight Rises   \n",
+       "4                               John Carter   \n",
+       "\n",
+       "                                            overview  popularity  \\\n",
+       "0  In the 22nd century, a paraplegic Marine is di...  150.437577   \n",
+       "1  Captain Barbossa, long believed to be dead, ha...  139.082615   \n",
+       "2  A cryptic message from Bond’s past sends him o...  107.376788   \n",
+       "3  Following the death of District Attorney Harve...  112.312950   \n",
+       "4  John Carter is a war-weary, former military ca...   43.926995   \n",
+       "\n",
+       "                                production_companies  ... runtime  \\\n",
+       "0  [{\"name\": \"Ingenious Film Partners\", \"id\": 289...  ...   162.0   \n",
+       "1  [{\"name\": \"Walt Disney Pictures\", \"id\": 2}, {\"...  ...   169.0   \n",
+       "2  [{\"name\": \"Columbia Pictures\", \"id\": 5}, {\"nam...  ...   148.0   \n",
+       "3  [{\"name\": \"Legendary Pictures\", \"id\": 923}, {\"...  ...   165.0   \n",
+       "4        [{\"name\": \"Walt Disney Pictures\", \"id\": 2}]  ...   132.0   \n",
+       "\n",
+       "                                    spoken_languages    status  \\\n",
+       "0  [{\"iso_639_1\": \"en\", \"name\": \"English\"}, {\"iso...  Released   \n",
+       "1           [{\"iso_639_1\": \"en\", \"name\": \"English\"}]  Released   \n",
+       "2  [{\"iso_639_1\": \"fr\", \"name\": \"Fran\\u00e7ais\"},...  Released   \n",
+       "3           [{\"iso_639_1\": \"en\", \"name\": \"English\"}]  Released   \n",
+       "4           [{\"iso_639_1\": \"en\", \"name\": \"English\"}]  Released   \n",
+       "\n",
+       "                                          tagline  \\\n",
+       "0                     Enter the World of Pandora.   \n",
+       "1  At the end of the world, the adventure begins.   \n",
+       "2                           A Plan No One Escapes   \n",
+       "3                                 The Legend Ends   \n",
+       "4            Lost in our world, found in another.   \n",
+       "\n",
+       "                                      title vote_average vote_count movie_id  \\\n",
+       "0                                    Avatar          7.2      11800    19995   \n",
+       "1  Pirates of the Caribbean: At World's End          6.9       4500      285   \n",
+       "2                                   Spectre          6.3       4466   206647   \n",
+       "3                     The Dark Knight Rises          7.6       9106    49026   \n",
+       "4                               John Carter          6.1       2124    49529   \n",
+       "\n",
+       "                                                cast  \\\n",
+       "0  [{\"cast_id\": 242, \"character\": \"Jake Sully\", \"...   \n",
+       "1  [{\"cast_id\": 4, \"character\": \"Captain Jack Spa...   \n",
+       "2  [{\"cast_id\": 1, \"character\": \"James Bond\", \"cr...   \n",
+       "3  [{\"cast_id\": 2, \"character\": \"Bruce Wayne / Ba...   \n",
+       "4  [{\"cast_id\": 5, \"character\": \"John Carter\", \"c...   \n",
+       "\n",
+       "                                                crew  \n",
+       "0  [{\"credit_id\": \"52fe48009251416c750aca23\", \"de...  \n",
+       "1  [{\"credit_id\": \"52fe4232c3a36847f800b579\", \"de...  \n",
+       "2  [{\"credit_id\": \"54805967c3a36829b5002c41\", \"de...  \n",
+       "3  [{\"credit_id\": \"52fe4781c3a36847f81398c3\", \"de...  \n",
+       "4  [{\"credit_id\": \"52fe479ac3a36847f813eaa3\", \"de...  \n",
+       "\n",
+       "[5 rows x 23 columns]"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "original_data.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
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+       "      <th>overview</th>\n",
+       "      <th>popularity</th>\n",
+       "      <th>production_companies</th>\n",
+       "      <th>...</th>\n",
+       "      <th>runtime</th>\n",
+       "      <th>spoken_languages</th>\n",
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+       "      <th>tagline</th>\n",
+       "      <th>title</th>\n",
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+       "      <th>vote_count</th>\n",
+       "      <th>movie_id</th>\n",
+       "      <th>cast</th>\n",
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+       "      <td>4.809000e+03</td>\n",
+       "      <td>4809</td>\n",
+       "      <td>1713</td>\n",
+       "      <td>4809.000000</td>\n",
+       "      <td>4809</td>\n",
+       "      <td>4809</td>\n",
+       "      <td>4809</td>\n",
+       "      <td>4806</td>\n",
+       "      <td>4809.000000</td>\n",
+       "      <td>4809</td>\n",
+       "      <td>...</td>\n",
+       "      <td>4807.000000</td>\n",
+       "      <td>4809</td>\n",
+       "      <td>4809</td>\n",
+       "      <td>3965</td>\n",
+       "      <td>4809</td>\n",
+       "      <td>4809.000000</td>\n",
+       "      <td>4809.000000</td>\n",
+       "      <td>4809.000000</td>\n",
+       "      <td>4809</td>\n",
+       "      <td>4809</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>unique</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1175</td>\n",
+       "      <td>1691</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>4222</td>\n",
+       "      <td>37</td>\n",
+       "      <td>4801</td>\n",
+       "      <td>4800</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>3697</td>\n",
+       "      <td>...</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>544</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3944</td>\n",
+       "      <td>4800</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>4761</td>\n",
+       "      <td>4776</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>top</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{\"id\": 18, \"name\": \"Drama\"}]</td>\n",
+       "      <td>http://www.missionimpossible.com/</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>en</td>\n",
+       "      <td>Out of the Blue</td>\n",
+       "      <td>Dennis Hopper is a hard-drinking truck driver ...</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>...</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[{\"iso_639_1\": \"en\", \"name\": \"English\"}]</td>\n",
+       "      <td>Released</td>\n",
+       "      <td>Based on a true story.</td>\n",
+       "      <td>Out of the Blue</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>freq</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>372</td>\n",
+       "      <td>4</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>412</td>\n",
+       "      <td>4510</td>\n",
+       "      <td>4</td>\n",
+       "      <td>2</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>352</td>\n",
+       "      <td>...</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>3175</td>\n",
+       "      <td>4801</td>\n",
+       "      <td>3</td>\n",
+       "      <td>4</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>43</td>\n",
+       "      <td>28</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mean</th>\n",
+       "      <td>2.902780e+07</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>57120.571429</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>21.491664</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>...</td>\n",
+       "      <td>106.882255</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>6.092514</td>\n",
+       "      <td>690.331670</td>\n",
+       "      <td>57120.571429</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>std</th>\n",
+       "      <td>4.070473e+07</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>88653.369849</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>31.803366</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>...</td>\n",
+       "      <td>22.602535</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1.193989</td>\n",
+       "      <td>1234.187111</td>\n",
+       "      <td>88653.369849</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>min</th>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>5.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>5.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25%</th>\n",
+       "      <td>7.800000e+05</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>9012.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>4.667230</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>...</td>\n",
+       "      <td>94.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>5.600000</td>\n",
+       "      <td>54.000000</td>\n",
+       "      <td>9012.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50%</th>\n",
+       "      <td>1.500000e+07</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>14624.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>12.921594</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>...</td>\n",
+       "      <td>103.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>6.200000</td>\n",
+       "      <td>235.000000</td>\n",
+       "      <td>14624.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75%</th>\n",
+       "      <td>4.000000e+07</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>58595.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>28.350529</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>...</td>\n",
+       "      <td>118.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>6.800000</td>\n",
+       "      <td>737.000000</td>\n",
+       "      <td>58595.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>max</th>\n",
+       "      <td>3.800000e+08</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>459488.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>875.581305</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>...</td>\n",
+       "      <td>338.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>10.000000</td>\n",
+       "      <td>13752.000000</td>\n",
+       "      <td>459488.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>11 rows × 23 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "              budget                         genres  \\\n",
+       "count   4.809000e+03                           4809   \n",
+       "unique           NaN                           1175   \n",
+       "top              NaN  [{\"id\": 18, \"name\": \"Drama\"}]   \n",
+       "freq             NaN                            372   \n",
+       "mean    2.902780e+07                            NaN   \n",
+       "std     4.070473e+07                            NaN   \n",
+       "min     0.000000e+00                            NaN   \n",
+       "25%     7.800000e+05                            NaN   \n",
+       "50%     1.500000e+07                            NaN   \n",
+       "75%     4.000000e+07                            NaN   \n",
+       "max     3.800000e+08                            NaN   \n",
+       "\n",
+       "                                 homepage             id keywords  \\\n",
+       "count                                1713    4809.000000     4809   \n",
+       "unique                               1691            NaN     4222   \n",
+       "top     http://www.missionimpossible.com/            NaN       []   \n",
+       "freq                                    4            NaN      412   \n",
+       "mean                                  NaN   57120.571429      NaN   \n",
+       "std                                   NaN   88653.369849      NaN   \n",
+       "min                                   NaN       5.000000      NaN   \n",
+       "25%                                   NaN    9012.000000      NaN   \n",
+       "50%                                   NaN   14624.000000      NaN   \n",
+       "75%                                   NaN   58595.000000      NaN   \n",
+       "max                                   NaN  459488.000000      NaN   \n",
+       "\n",
+       "       original_language   original_title  \\\n",
+       "count               4809             4809   \n",
+       "unique                37             4801   \n",
+       "top                   en  Out of the Blue   \n",
+       "freq                4510                4   \n",
+       "mean                 NaN              NaN   \n",
+       "std                  NaN              NaN   \n",
+       "min                  NaN              NaN   \n",
+       "25%                  NaN              NaN   \n",
+       "50%                  NaN              NaN   \n",
+       "75%                  NaN              NaN   \n",
+       "max                  NaN              NaN   \n",
+       "\n",
+       "                                                 overview   popularity  \\\n",
+       "count                                                4806  4809.000000   \n",
+       "unique                                               4800          NaN   \n",
+       "top     Dennis Hopper is a hard-drinking truck driver ...          NaN   \n",
+       "freq                                                    2          NaN   \n",
+       "mean                                                  NaN    21.491664   \n",
+       "std                                                   NaN    31.803366   \n",
+       "min                                                   NaN     0.000000   \n",
+       "25%                                                   NaN     4.667230   \n",
+       "50%                                                   NaN    12.921594   \n",
+       "75%                                                   NaN    28.350529   \n",
+       "max                                                   NaN   875.581305   \n",
+       "\n",
+       "       production_companies  ...      runtime  \\\n",
+       "count                  4809  ...  4807.000000   \n",
+       "unique                 3697  ...          NaN   \n",
+       "top                      []  ...          NaN   \n",
+       "freq                    352  ...          NaN   \n",
+       "mean                    NaN  ...   106.882255   \n",
+       "std                     NaN  ...    22.602535   \n",
+       "min                     NaN  ...     0.000000   \n",
+       "25%                     NaN  ...    94.000000   \n",
+       "50%                     NaN  ...   103.000000   \n",
+       "75%                     NaN  ...   118.000000   \n",
+       "max                     NaN  ...   338.000000   \n",
+       "\n",
+       "                                spoken_languages    status  \\\n",
+       "count                                       4809      4809   \n",
+       "unique                                       544         3   \n",
+       "top     [{\"iso_639_1\": \"en\", \"name\": \"English\"}]  Released   \n",
+       "freq                                        3175      4801   \n",
+       "mean                                         NaN       NaN   \n",
+       "std                                          NaN       NaN   \n",
+       "min                                          NaN       NaN   \n",
+       "25%                                          NaN       NaN   \n",
+       "50%                                          NaN       NaN   \n",
+       "75%                                          NaN       NaN   \n",
+       "max                                          NaN       NaN   \n",
+       "\n",
+       "                       tagline            title vote_average    vote_count  \\\n",
+       "count                     3965             4809  4809.000000   4809.000000   \n",
+       "unique                    3944             4800          NaN           NaN   \n",
+       "top     Based on a true story.  Out of the Blue          NaN           NaN   \n",
+       "freq                         3                4          NaN           NaN   \n",
+       "mean                       NaN              NaN     6.092514    690.331670   \n",
+       "std                        NaN              NaN     1.193989   1234.187111   \n",
+       "min                        NaN              NaN     0.000000      0.000000   \n",
+       "25%                        NaN              NaN     5.600000     54.000000   \n",
+       "50%                        NaN              NaN     6.200000    235.000000   \n",
+       "75%                        NaN              NaN     6.800000    737.000000   \n",
+       "max                        NaN              NaN    10.000000  13752.000000   \n",
+       "\n",
+       "             movie_id  cast  crew  \n",
+       "count     4809.000000  4809  4809  \n",
+       "unique            NaN  4761  4776  \n",
+       "top               NaN    []    []  \n",
+       "freq              NaN    43    28  \n",
+       "mean     57120.571429   NaN   NaN  \n",
+       "std      88653.369849   NaN   NaN  \n",
+       "min          5.000000   NaN   NaN  \n",
+       "25%       9012.000000   NaN   NaN  \n",
+       "50%      14624.000000   NaN   NaN  \n",
+       "75%      58595.000000   NaN   NaN  \n",
+       "max     459488.000000   NaN   NaN  \n",
+       "\n",
+       "[11 rows x 23 columns]"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "original_data.describe(include=\"all\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "Int64Index: 4809 entries, 0 to 4808\n",
+      "Data columns (total 23 columns):\n",
+      " #   Column                Non-Null Count  Dtype  \n",
+      "---  ------                --------------  -----  \n",
+      " 0   budget                4809 non-null   int64  \n",
+      " 1   genres                4809 non-null   object \n",
+      " 2   homepage              1713 non-null   object \n",
+      " 3   id                    4809 non-null   int64  \n",
+      " 4   keywords              4809 non-null   object \n",
+      " 5   original_language     4809 non-null   object \n",
+      " 6   original_title        4809 non-null   object \n",
+      " 7   overview              4806 non-null   object \n",
+      " 8   popularity            4809 non-null   float64\n",
+      " 9   production_companies  4809 non-null   object \n",
+      " 10  production_countries  4809 non-null   object \n",
+      " 11  release_date          4808 non-null   object \n",
+      " 12  revenue               4809 non-null   int64  \n",
+      " 13  runtime               4807 non-null   float64\n",
+      " 14  spoken_languages      4809 non-null   object \n",
+      " 15  status                4809 non-null   object \n",
+      " 16  tagline               3965 non-null   object \n",
+      " 17  title                 4809 non-null   object \n",
+      " 18  vote_average          4809 non-null   float64\n",
+      " 19  vote_count            4809 non-null   int64  \n",
+      " 20  movie_id              4809 non-null   int64  \n",
+      " 21  cast                  4809 non-null   object \n",
+      " 22  crew                  4809 non-null   object \n",
+      "dtypes: float64(3), int64(5), object(15)\n",
+      "memory usage: 901.7+ KB\n"
+     ]
+    }
+   ],
+   "source": [
+    "original_data.info()"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 2.3 Datenbereinigung"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "###  Auf Nullwerte prüfen"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "budget                     0\n",
+       "genres                     0\n",
+       "homepage                3096\n",
+       "id                         0\n",
+       "keywords                   0\n",
+       "original_language          0\n",
+       "original_title             0\n",
+       "overview                   3\n",
+       "popularity                 0\n",
+       "production_companies       0\n",
+       "production_countries       0\n",
+       "release_date               1\n",
+       "revenue                    0\n",
+       "runtime                    2\n",
+       "spoken_languages           0\n",
+       "status                     0\n",
+       "tagline                  844\n",
+       "title                      0\n",
+       "vote_average               0\n",
+       "vote_count                 0\n",
+       "movie_id                   0\n",
+       "cast                       0\n",
+       "crew                       0\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "original_data.isnull().sum()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_wo_null = original_data.dropna(axis=0)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "budget                  0\n",
+       "genres                  0\n",
+       "homepage                0\n",
+       "id                      0\n",
+       "keywords                0\n",
+       "original_language       0\n",
+       "original_title          0\n",
+       "overview                0\n",
+       "popularity              0\n",
+       "production_companies    0\n",
+       "production_countries    0\n",
+       "release_date            0\n",
+       "revenue                 0\n",
+       "runtime                 0\n",
+       "spoken_languages        0\n",
+       "status                  0\n",
+       "tagline                 0\n",
+       "title                   0\n",
+       "vote_average            0\n",
+       "vote_count              0\n",
+       "movie_id                0\n",
+       "cast                    0\n",
+       "crew                    0\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_wo_null.isnull().sum()"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Auf Duplikate prüfen"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>budget</th>\n",
+       "      <th>genres</th>\n",
+       "      <th>homepage</th>\n",
+       "      <th>id</th>\n",
+       "      <th>keywords</th>\n",
+       "      <th>original_language</th>\n",
+       "      <th>original_title</th>\n",
+       "      <th>overview</th>\n",
+       "      <th>popularity</th>\n",
+       "      <th>production_companies</th>\n",
+       "      <th>...</th>\n",
+       "      <th>runtime</th>\n",
+       "      <th>spoken_languages</th>\n",
+       "      <th>status</th>\n",
+       "      <th>tagline</th>\n",
+       "      <th>title</th>\n",
+       "      <th>vote_average</th>\n",
+       "      <th>vote_count</th>\n",
+       "      <th>movie_id</th>\n",
+       "      <th>cast</th>\n",
+       "      <th>crew</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>0 rows × 23 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "Empty DataFrame\n",
+       "Columns: [budget, genres, homepage, id, keywords, original_language, original_title, overview, popularity, production_companies, production_countries, release_date, revenue, runtime, spoken_languages, status, tagline, title, vote_average, vote_count, movie_id, cast, crew]\n",
+       "Index: []\n",
+       "\n",
+       "[0 rows x 23 columns]"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_wo_null[df_wo_null.duplicated(keep=False)]"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 2.4 Test auf Multikollinearität"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Keine nicht-signifikanten Variablen mehr. Das endgültige Modell wird erstellt."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1296x1296 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "f,ax=plt.subplots(figsize = (18,18))\n",
+    "sns.heatmap(df_wo_null.corr(),annot= True,linewidths=0.5,fmt = \".1f\",ax=ax)\n",
+    "plt.xticks(rotation=90)\n",
+    "plt.yticks(rotation=0)\n",
+    "plt.title('Correlation Map')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_wo_null = df_wo_null.drop(['tagline', 'homepage', 'id', 'movie_id'], axis = 1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1296x1296 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "f,ax=plt.subplots(figsize = (18,18))\n",
+    "sns.heatmap(df_wo_null.corr(),annot= True,linewidths=0.5,fmt = \".1f\",ax=ax)\n",
+    "plt.xticks(rotation=90)\n",
+    "plt.yticks(rotation=0)\n",
+    "plt.title('Correlation Map')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 2.5 Deskriptive Analysise "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_wo_null = df_wo_null.drop(['status', 'original_title', 'overview'], axis = 1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_wo_null = df_wo_null.drop(['production_countries', 'original_language', 'crew', 'spoken_languages'], axis = 1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_wo_null = df_wo_null.drop(['runtime', 'keywords', 'vote_average', 'budget'], axis = 1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>genres</th>\n",
+       "      <th>popularity</th>\n",
+       "      <th>production_companies</th>\n",
+       "      <th>release_date</th>\n",
+       "      <th>revenue</th>\n",
+       "      <th>title</th>\n",
+       "      <th>vote_count</th>\n",
+       "      <th>cast</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...</td>\n",
+       "      <td>150.437577</td>\n",
+       "      <td>[{\"name\": \"Ingenious Film Partners\", \"id\": 289...</td>\n",
+       "      <td>2009-12-10</td>\n",
+       "      <td>2787965087</td>\n",
+       "      <td>Avatar</td>\n",
+       "      <td>11800</td>\n",
+       "      <td>[{\"cast_id\": 242, \"character\": \"Jake Sully\", \"...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>[{\"id\": 12, \"name\": \"Adventure\"}, {\"id\": 14, \"...</td>\n",
+       "      <td>139.082615</td>\n",
+       "      <td>[{\"name\": \"Walt Disney Pictures\", \"id\": 2}, {\"...</td>\n",
+       "      <td>2007-05-19</td>\n",
+       "      <td>961000000</td>\n",
+       "      <td>Pirates of the Caribbean: At World's End</td>\n",
+       "      <td>4500</td>\n",
+       "      <td>[{\"cast_id\": 4, \"character\": \"Captain Jack Spa...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...</td>\n",
+       "      <td>107.376788</td>\n",
+       "      <td>[{\"name\": \"Columbia Pictures\", \"id\": 5}, {\"nam...</td>\n",
+       "      <td>2015-10-26</td>\n",
+       "      <td>880674609</td>\n",
+       "      <td>Spectre</td>\n",
+       "      <td>4466</td>\n",
+       "      <td>[{\"cast_id\": 1, \"character\": \"James Bond\", \"cr...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 80, \"nam...</td>\n",
+       "      <td>112.312950</td>\n",
+       "      <td>[{\"name\": \"Legendary Pictures\", \"id\": 923}, {\"...</td>\n",
+       "      <td>2012-07-16</td>\n",
+       "      <td>1084939099</td>\n",
+       "      <td>The Dark Knight Rises</td>\n",
+       "      <td>9106</td>\n",
+       "      <td>[{\"cast_id\": 2, \"character\": \"Bruce Wayne / Ba...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...</td>\n",
+       "      <td>43.926995</td>\n",
+       "      <td>[{\"name\": \"Walt Disney Pictures\", \"id\": 2}]</td>\n",
+       "      <td>2012-03-07</td>\n",
+       "      <td>284139100</td>\n",
+       "      <td>John Carter</td>\n",
+       "      <td>2124</td>\n",
+       "      <td>[{\"cast_id\": 5, \"character\": \"John Carter\", \"c...</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                              genres  popularity  \\\n",
+       "0  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...  150.437577   \n",
+       "1  [{\"id\": 12, \"name\": \"Adventure\"}, {\"id\": 14, \"...  139.082615   \n",
+       "2  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...  107.376788   \n",
+       "3  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 80, \"nam...  112.312950   \n",
+       "4  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...   43.926995   \n",
+       "\n",
+       "                                production_companies release_date     revenue  \\\n",
+       "0  [{\"name\": \"Ingenious Film Partners\", \"id\": 289...   2009-12-10  2787965087   \n",
+       "1  [{\"name\": \"Walt Disney Pictures\", \"id\": 2}, {\"...   2007-05-19   961000000   \n",
+       "2  [{\"name\": \"Columbia Pictures\", \"id\": 5}, {\"nam...   2015-10-26   880674609   \n",
+       "3  [{\"name\": \"Legendary Pictures\", \"id\": 923}, {\"...   2012-07-16  1084939099   \n",
+       "4        [{\"name\": \"Walt Disney Pictures\", \"id\": 2}]   2012-03-07   284139100   \n",
+       "\n",
+       "                                      title  vote_count  \\\n",
+       "0                                    Avatar       11800   \n",
+       "1  Pirates of the Caribbean: At World's End        4500   \n",
+       "2                                   Spectre        4466   \n",
+       "3                     The Dark Knight Rises        9106   \n",
+       "4                               John Carter        2124   \n",
+       "\n",
+       "                                                cast  \n",
+       "0  [{\"cast_id\": 242, \"character\": \"Jake Sully\", \"...  \n",
+       "1  [{\"cast_id\": 4, \"character\": \"Captain Jack Spa...  \n",
+       "2  [{\"cast_id\": 1, \"character\": \"James Bond\", \"cr...  \n",
+       "3  [{\"cast_id\": 2, \"character\": \"Bruce Wayne / Ba...  \n",
+       "4  [{\"cast_id\": 5, \"character\": \"John Carter\", \"c...  "
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_wo_null.head()"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {
+    "editable": true,
+    "include": true,
+    "paragraph": "DataPreparation",
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
+   "source": [
+    "# 3. Datenaufbereitung"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 3.1 Erfassung kategorialer Variablen"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_wo_null['genre1'] = df_wo_null['genres'].str.split(',').str[1]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_wo_null['genre1'] = df_wo_null['genre1'].str.split(':').str[1]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_wo_null['genre1'] = df_wo_null['genre1'].str.split('\"').str[1]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_wo_null['genre2'] = df_wo_null['genres'].str.split(',').str[3]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_wo_null['genre2'] = df_wo_null['genre2'].str.split(':').str[1]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_wo_null['genre2'] = df_wo_null['genre2'].str.split('\"').str[1]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_1 = df_wo_null.drop(['genres'], axis = 1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "popularity                0\n",
+       "production_companies      0\n",
+       "release_date              0\n",
+       "revenue                   0\n",
+       "title                     0\n",
+       "vote_count                0\n",
+       "cast                      0\n",
+       "genre1                    2\n",
+       "genre2                  232\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 26,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_1.isnull().sum()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_1[\"new_genres\"] = df_1[\"genre1\"] +\",\"+ df_1[\"genre2\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_2 = df_1.drop(['genre1', 'genre2'], axis = 1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "popularity                0\n",
+       "production_companies      0\n",
+       "release_date              0\n",
+       "revenue                   0\n",
+       "title                     0\n",
+       "vote_count                0\n",
+       "cast                      0\n",
+       "new_genres              232\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 29,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_2.isnull().sum()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_2 = df_2.dropna(axis=0)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_2['year'] = df_2['release_date'].str.split('-').str[0]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_2['year'] = df_2['year'].astype(int)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "Int64Index: 1262 entries, 0 to 4802\n",
+      "Data columns (total 9 columns):\n",
+      " #   Column                Non-Null Count  Dtype  \n",
+      "---  ------                --------------  -----  \n",
+      " 0   popularity            1262 non-null   float64\n",
+      " 1   production_companies  1262 non-null   object \n",
+      " 2   release_date          1262 non-null   object \n",
+      " 3   revenue               1262 non-null   int64  \n",
+      " 4   title                 1262 non-null   object \n",
+      " 5   vote_count            1262 non-null   int64  \n",
+      " 6   cast                  1262 non-null   object \n",
+      " 7   new_genres            1262 non-null   object \n",
+      " 8   year                  1262 non-null   int64  \n",
+      "dtypes: float64(1), int64(3), object(5)\n",
+      "memory usage: 98.6+ KB\n"
+     ]
+    }
+   ],
+   "source": [
+    "df_2.info()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_3 = df_2.drop(['release_date'], axis = 1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>popularity</th>\n",
+       "      <th>production_companies</th>\n",
+       "      <th>revenue</th>\n",
+       "      <th>title</th>\n",
+       "      <th>vote_count</th>\n",
+       "      <th>cast</th>\n",
+       "      <th>new_genres</th>\n",
+       "      <th>year</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>150.437577</td>\n",
+       "      <td>[{\"name\": \"Ingenious Film Partners\", \"id\": 289...</td>\n",
+       "      <td>2787965087</td>\n",
+       "      <td>Avatar</td>\n",
+       "      <td>11800</td>\n",
+       "      <td>[{\"cast_id\": 242, \"character\": \"Jake Sully\", \"...</td>\n",
+       "      <td>Action,Adventure</td>\n",
+       "      <td>2009</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>139.082615</td>\n",
+       "      <td>[{\"name\": \"Walt Disney Pictures\", \"id\": 2}, {\"...</td>\n",
+       "      <td>961000000</td>\n",
+       "      <td>Pirates of the Caribbean: At World's End</td>\n",
+       "      <td>4500</td>\n",
+       "      <td>[{\"cast_id\": 4, \"character\": \"Captain Jack Spa...</td>\n",
+       "      <td>Adventure,Fantasy</td>\n",
+       "      <td>2007</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>107.376788</td>\n",
+       "      <td>[{\"name\": \"Columbia Pictures\", \"id\": 5}, {\"nam...</td>\n",
+       "      <td>880674609</td>\n",
+       "      <td>Spectre</td>\n",
+       "      <td>4466</td>\n",
+       "      <td>[{\"cast_id\": 1, \"character\": \"James Bond\", \"cr...</td>\n",
+       "      <td>Action,Adventure</td>\n",
+       "      <td>2015</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>112.312950</td>\n",
+       "      <td>[{\"name\": \"Legendary Pictures\", \"id\": 923}, {\"...</td>\n",
+       "      <td>1084939099</td>\n",
+       "      <td>The Dark Knight Rises</td>\n",
+       "      <td>9106</td>\n",
+       "      <td>[{\"cast_id\": 2, \"character\": \"Bruce Wayne / Ba...</td>\n",
+       "      <td>Action,Crime</td>\n",
+       "      <td>2012</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>43.926995</td>\n",
+       "      <td>[{\"name\": \"Walt Disney Pictures\", \"id\": 2}]</td>\n",
+       "      <td>284139100</td>\n",
+       "      <td>John Carter</td>\n",
+       "      <td>2124</td>\n",
+       "      <td>[{\"cast_id\": 5, \"character\": \"John Carter\", \"c...</td>\n",
+       "      <td>Action,Adventure</td>\n",
+       "      <td>2012</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4764</th>\n",
+       "      <td>27.662696</td>\n",
+       "      <td>[{\"name\": \"Automatik Entertainment\", \"id\": 281...</td>\n",
+       "      <td>600896</td>\n",
+       "      <td>The Signal</td>\n",
+       "      <td>631</td>\n",
+       "      <td>[{\"cast_id\": 1, \"character\": \"Nic Eastman\", \"c...</td>\n",
+       "      <td>Thriller,Science Fiction</td>\n",
+       "      <td>2014</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4772</th>\n",
+       "      <td>3.277287</td>\n",
+       "      <td>[{\"name\": \"FM Productions\", \"id\": 12601}, {\"na...</td>\n",
+       "      <td>321952</td>\n",
+       "      <td>The Last Waltz</td>\n",
+       "      <td>64</td>\n",
+       "      <td>[{\"cast_id\": 1, \"character\": \"Himself\", \"credi...</td>\n",
+       "      <td>Documentary,Music</td>\n",
+       "      <td>1978</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4778</th>\n",
+       "      <td>1.330379</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>10000</td>\n",
+       "      <td>Down Terrace</td>\n",
+       "      <td>26</td>\n",
+       "      <td>[{\"cast_id\": 4, \"character\": \"Bill\", \"credit_i...</td>\n",
+       "      <td>Drama,Action</td>\n",
+       "      <td>2009</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4787</th>\n",
+       "      <td>0.048948</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Dry Spell</td>\n",
+       "      <td>1</td>\n",
+       "      <td>[{\"cast_id\": 4, \"character\": \"Sasha\", \"credit_...</td>\n",
+       "      <td>Comedy,Romance</td>\n",
+       "      <td>2013</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4802</th>\n",
+       "      <td>23.307949</td>\n",
+       "      <td>[{\"name\": \"Thinkfilm\", \"id\": 446}]</td>\n",
+       "      <td>424760</td>\n",
+       "      <td>Primer</td>\n",
+       "      <td>658</td>\n",
+       "      <td>[{\"cast_id\": 1, \"character\": \"Aaron\", \"credit_...</td>\n",
+       "      <td>Science Fiction,Drama</td>\n",
+       "      <td>2004</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1262 rows × 8 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      popularity                               production_companies  \\\n",
+       "0     150.437577  [{\"name\": \"Ingenious Film Partners\", \"id\": 289...   \n",
+       "1     139.082615  [{\"name\": \"Walt Disney Pictures\", \"id\": 2}, {\"...   \n",
+       "2     107.376788  [{\"name\": \"Columbia Pictures\", \"id\": 5}, {\"nam...   \n",
+       "3     112.312950  [{\"name\": \"Legendary Pictures\", \"id\": 923}, {\"...   \n",
+       "4      43.926995        [{\"name\": \"Walt Disney Pictures\", \"id\": 2}]   \n",
+       "...          ...                                                ...   \n",
+       "4764   27.662696  [{\"name\": \"Automatik Entertainment\", \"id\": 281...   \n",
+       "4772    3.277287  [{\"name\": \"FM Productions\", \"id\": 12601}, {\"na...   \n",
+       "4778    1.330379                                                 []   \n",
+       "4787    0.048948                                                 []   \n",
+       "4802   23.307949                 [{\"name\": \"Thinkfilm\", \"id\": 446}]   \n",
+       "\n",
+       "         revenue                                     title  vote_count  \\\n",
+       "0     2787965087                                    Avatar       11800   \n",
+       "1      961000000  Pirates of the Caribbean: At World's End        4500   \n",
+       "2      880674609                                   Spectre        4466   \n",
+       "3     1084939099                     The Dark Knight Rises        9106   \n",
+       "4      284139100                               John Carter        2124   \n",
+       "...          ...                                       ...         ...   \n",
+       "4764      600896                                The Signal         631   \n",
+       "4772      321952                            The Last Waltz          64   \n",
+       "4778       10000                              Down Terrace          26   \n",
+       "4787           0                                 Dry Spell           1   \n",
+       "4802      424760                                    Primer         658   \n",
+       "\n",
+       "                                                   cast  \\\n",
+       "0     [{\"cast_id\": 242, \"character\": \"Jake Sully\", \"...   \n",
+       "1     [{\"cast_id\": 4, \"character\": \"Captain Jack Spa...   \n",
+       "2     [{\"cast_id\": 1, \"character\": \"James Bond\", \"cr...   \n",
+       "3     [{\"cast_id\": 2, \"character\": \"Bruce Wayne / Ba...   \n",
+       "4     [{\"cast_id\": 5, \"character\": \"John Carter\", \"c...   \n",
+       "...                                                 ...   \n",
+       "4764  [{\"cast_id\": 1, \"character\": \"Nic Eastman\", \"c...   \n",
+       "4772  [{\"cast_id\": 1, \"character\": \"Himself\", \"credi...   \n",
+       "4778  [{\"cast_id\": 4, \"character\": \"Bill\", \"credit_i...   \n",
+       "4787  [{\"cast_id\": 4, \"character\": \"Sasha\", \"credit_...   \n",
+       "4802  [{\"cast_id\": 1, \"character\": \"Aaron\", \"credit_...   \n",
+       "\n",
+       "                    new_genres  year  \n",
+       "0             Action,Adventure  2009  \n",
+       "1            Adventure,Fantasy  2007  \n",
+       "2             Action,Adventure  2015  \n",
+       "3                 Action,Crime  2012  \n",
+       "4             Action,Adventure  2012  \n",
+       "...                        ...   ...  \n",
+       "4764  Thriller,Science Fiction  2014  \n",
+       "4772         Documentary,Music  1978  \n",
+       "4778              Drama,Action  2009  \n",
+       "4787            Comedy,Romance  2013  \n",
+       "4802     Science Fiction,Drama  2004  \n",
+       "\n",
+       "[1262 rows x 8 columns]"
+      ]
+     },
+     "execution_count": 35,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_3"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_3['cast'] = df_3['cast'].str.split(',').str[5]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_3['cast'] = df_3['cast'].str.split(':').str[1]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_3['cast'] = df_3['cast'].str.split('\"').str[1]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_3['production_companies'] = df_3['production_companies'].str.split(',').str[0]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_3['production_companies'] = df_3['production_companies'].str.split(':').str[1]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 41,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_3['production_companies'] = df_3['production_companies'].str.split('\"').str[1]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 42,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "popularity               0\n",
+       "production_companies    22\n",
+       "revenue                  0\n",
+       "title                    0\n",
+       "vote_count               0\n",
+       "cast                     5\n",
+       "new_genres               0\n",
+       "year                     0\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 42,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_3.isnull().sum()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 43,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_5 = df_3.dropna(axis=0)"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {
+    "editable": true,
+    "include": true,
+    "paragraph": "Modeling",
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
+   "source": [
+    "# 4. Modellierung und Evaluation"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 4.1 Test und Trainieren der Daten"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 44,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>popularity</th>\n",
+       "      <th>production_companies</th>\n",
+       "      <th>revenue</th>\n",
+       "      <th>title</th>\n",
+       "      <th>vote_count</th>\n",
+       "      <th>cast</th>\n",
+       "      <th>new_genres</th>\n",
+       "      <th>year</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>150.437577</td>\n",
+       "      <td>Ingenious Film Partners</td>\n",
+       "      <td>2787965087</td>\n",
+       "      <td>Avatar</td>\n",
+       "      <td>11800</td>\n",
+       "      <td>Sam Worthington</td>\n",
+       "      <td>Action,Adventure</td>\n",
+       "      <td>2009</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>139.082615</td>\n",
+       "      <td>Walt Disney Pictures</td>\n",
+       "      <td>961000000</td>\n",
+       "      <td>Pirates of the Caribbean: At World's End</td>\n",
+       "      <td>4500</td>\n",
+       "      <td>Johnny Depp</td>\n",
+       "      <td>Adventure,Fantasy</td>\n",
+       "      <td>2007</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>107.376788</td>\n",
+       "      <td>Columbia Pictures</td>\n",
+       "      <td>880674609</td>\n",
+       "      <td>Spectre</td>\n",
+       "      <td>4466</td>\n",
+       "      <td>Daniel Craig</td>\n",
+       "      <td>Action,Adventure</td>\n",
+       "      <td>2015</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>112.312950</td>\n",
+       "      <td>Legendary Pictures</td>\n",
+       "      <td>1084939099</td>\n",
+       "      <td>The Dark Knight Rises</td>\n",
+       "      <td>9106</td>\n",
+       "      <td>Christian Bale</td>\n",
+       "      <td>Action,Crime</td>\n",
+       "      <td>2012</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>43.926995</td>\n",
+       "      <td>Walt Disney Pictures</td>\n",
+       "      <td>284139100</td>\n",
+       "      <td>John Carter</td>\n",
+       "      <td>2124</td>\n",
+       "      <td>Taylor Kitsch</td>\n",
+       "      <td>Action,Adventure</td>\n",
+       "      <td>2012</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   popularity     production_companies     revenue  \\\n",
+       "0  150.437577  Ingenious Film Partners  2787965087   \n",
+       "1  139.082615     Walt Disney Pictures   961000000   \n",
+       "2  107.376788        Columbia Pictures   880674609   \n",
+       "3  112.312950       Legendary Pictures  1084939099   \n",
+       "4   43.926995     Walt Disney Pictures   284139100   \n",
+       "\n",
+       "                                      title  vote_count             cast  \\\n",
+       "0                                    Avatar       11800  Sam Worthington   \n",
+       "1  Pirates of the Caribbean: At World's End        4500      Johnny Depp   \n",
+       "2                                   Spectre        4466     Daniel Craig   \n",
+       "3                     The Dark Knight Rises        9106   Christian Bale   \n",
+       "4                               John Carter        2124    Taylor Kitsch   \n",
+       "\n",
+       "          new_genres  year  \n",
+       "0   Action,Adventure  2009  \n",
+       "1  Adventure,Fantasy  2007  \n",
+       "2   Action,Adventure  2015  \n",
+       "3       Action,Crime  2012  \n",
+       "4   Action,Adventure  2012  "
+      ]
+     },
+     "execution_count": 44,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_5.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 45,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_6 = df_5.rename({\"cast\":\"star\"}, axis=1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 46,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>popularity</th>\n",
+       "      <th>production_companies</th>\n",
+       "      <th>revenue</th>\n",
+       "      <th>title</th>\n",
+       "      <th>vote_count</th>\n",
+       "      <th>star</th>\n",
+       "      <th>new_genres</th>\n",
+       "      <th>year</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>150.437577</td>\n",
+       "      <td>Ingenious Film Partners</td>\n",
+       "      <td>2787965087</td>\n",
+       "      <td>Avatar</td>\n",
+       "      <td>11800</td>\n",
+       "      <td>Sam Worthington</td>\n",
+       "      <td>Action,Adventure</td>\n",
+       "      <td>2009</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>139.082615</td>\n",
+       "      <td>Walt Disney Pictures</td>\n",
+       "      <td>961000000</td>\n",
+       "      <td>Pirates of the Caribbean: At World's End</td>\n",
+       "      <td>4500</td>\n",
+       "      <td>Johnny Depp</td>\n",
+       "      <td>Adventure,Fantasy</td>\n",
+       "      <td>2007</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>107.376788</td>\n",
+       "      <td>Columbia Pictures</td>\n",
+       "      <td>880674609</td>\n",
+       "      <td>Spectre</td>\n",
+       "      <td>4466</td>\n",
+       "      <td>Daniel Craig</td>\n",
+       "      <td>Action,Adventure</td>\n",
+       "      <td>2015</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>112.312950</td>\n",
+       "      <td>Legendary Pictures</td>\n",
+       "      <td>1084939099</td>\n",
+       "      <td>The Dark Knight Rises</td>\n",
+       "      <td>9106</td>\n",
+       "      <td>Christian Bale</td>\n",
+       "      <td>Action,Crime</td>\n",
+       "      <td>2012</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>43.926995</td>\n",
+       "      <td>Walt Disney Pictures</td>\n",
+       "      <td>284139100</td>\n",
+       "      <td>John Carter</td>\n",
+       "      <td>2124</td>\n",
+       "      <td>Taylor Kitsch</td>\n",
+       "      <td>Action,Adventure</td>\n",
+       "      <td>2012</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   popularity     production_companies     revenue  \\\n",
+       "0  150.437577  Ingenious Film Partners  2787965087   \n",
+       "1  139.082615     Walt Disney Pictures   961000000   \n",
+       "2  107.376788        Columbia Pictures   880674609   \n",
+       "3  112.312950       Legendary Pictures  1084939099   \n",
+       "4   43.926995     Walt Disney Pictures   284139100   \n",
+       "\n",
+       "                                      title  vote_count             star  \\\n",
+       "0                                    Avatar       11800  Sam Worthington   \n",
+       "1  Pirates of the Caribbean: At World's End        4500      Johnny Depp   \n",
+       "2                                   Spectre        4466     Daniel Craig   \n",
+       "3                     The Dark Knight Rises        9106   Christian Bale   \n",
+       "4                               John Carter        2124    Taylor Kitsch   \n",
+       "\n",
+       "          new_genres  year  \n",
+       "0   Action,Adventure  2009  \n",
+       "1  Adventure,Fantasy  2007  \n",
+       "2   Action,Adventure  2015  \n",
+       "3       Action,Crime  2012  \n",
+       "4   Action,Adventure  2012  "
+      ]
+     },
+     "execution_count": 46,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_6.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 47,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_7 = df_6.drop(['year'], axis = 1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 48,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_cleaned = df_7.dropna(axis=0)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 49,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([[<AxesSubplot:title={'center':'popularity'}>,\n",
+       "        <AxesSubplot:title={'center':'revenue'}>],\n",
+       "       [<AxesSubplot:title={'center':'vote_count'}>, <AxesSubplot:>]],\n",
+       "      dtype=object)"
+      ]
+     },
+     "execution_count": 49,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 720x720 with 4 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "df_cleaned.hist(figsize=(10,10), bins=50)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 50,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/Jumana/opt/anaconda3/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n",
+      "  warnings.warn(msg, FutureWarning)\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<AxesSubplot:xlabel='popularity', ylabel='Density'>"
+      ]
+     },
+     "execution_count": 50,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.distplot(df_cleaned['popularity'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 51,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "q = df_cleaned['popularity'].quantile(0.99)\n",
+    "\n",
+    "data_1 = df_cleaned[df_cleaned['popularity']<q]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 52,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/Jumana/opt/anaconda3/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n",
+      "  warnings.warn(msg, FutureWarning)\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<AxesSubplot:xlabel='popularity', ylabel='Density'>"
+      ]
+     },
+     "execution_count": 52,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.distplot(data_1['popularity'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 53,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "q = data_1['vote_count'].quantile(0.01)\n",
+    "\n",
+    "data_2 = data_1[data_1['vote_count']>q]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 54,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>popularity</th>\n",
+       "      <th>revenue</th>\n",
+       "      <th>vote_count</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>count</th>\n",
+       "      <td>1208.000000</td>\n",
+       "      <td>1.208000e+03</td>\n",
+       "      <td>1208.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mean</th>\n",
+       "      <td>35.506440</td>\n",
+       "      <td>1.669286e+08</td>\n",
+       "      <td>1405.486755</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>std</th>\n",
+       "      <td>29.940760</td>\n",
+       "      <td>2.455862e+08</td>\n",
+       "      <td>1752.879308</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>min</th>\n",
+       "      <td>0.132878</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>9.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25%</th>\n",
+       "      <td>13.768277</td>\n",
+       "      <td>1.529117e+07</td>\n",
+       "      <td>279.250000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50%</th>\n",
+       "      <td>27.153374</td>\n",
+       "      <td>7.233776e+07</td>\n",
+       "      <td>712.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75%</th>\n",
+       "      <td>46.832955</td>\n",
+       "      <td>2.054128e+08</td>\n",
+       "      <td>1805.500000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>max</th>\n",
+       "      <td>167.932870</td>\n",
+       "      <td>2.787965e+09</td>\n",
+       "      <td>13752.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        popularity       revenue    vote_count\n",
+       "count  1208.000000  1.208000e+03   1208.000000\n",
+       "mean     35.506440  1.669286e+08   1405.486755\n",
+       "std      29.940760  2.455862e+08   1752.879308\n",
+       "min       0.132878  0.000000e+00      9.000000\n",
+       "25%      13.768277  1.529117e+07    279.250000\n",
+       "50%      27.153374  7.233776e+07    712.000000\n",
+       "75%      46.832955  2.054128e+08   1805.500000\n",
+       "max     167.932870  2.787965e+09  13752.000000"
+      ]
+     },
+     "execution_count": 54,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data_2.describe()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 55,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/Jumana/opt/anaconda3/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n",
+      "  warnings.warn(msg, FutureWarning)\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<AxesSubplot:xlabel='vote_count', ylabel='Density'>"
+      ]
+     },
+     "execution_count": 55,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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6NXl5ef7OJs4pLneg0UDXzq0XS3ionv49OkuxCCECrl3For1gn73b7W42TfhPcXkN0ZGhGPRtf+bD+sWQX1xNeVVdByUTQojm2tUOI0aM4JlnnqG2tpbt27dz3333MWrUKH9nE4DHoyg9W4ulS+tbK40G94kG4NtzF08KIUQgtKtYHn74YcLDw4mMjGTt2rUMHDiQRx55xN/ZBHDWXofbo4jpHHrRZXtaTISG6Pguv8L/wYQQohUXLZYPPviAu+66i1dffZXTp08TGRnJzTffjNFovOiTb968meTkZMaPH8/69eubzc/LyyM9PZ2kpCSWLl2Ky+UCoLCwkJkzZzJhwgTmz5/vPQOtsrKSefPmMXHiRGbOnElJSUmT56uurub222/n888/b9ebvxo07taKjrz4563VahjQI4pvpViEEAHUZrHk5OTwzDPPMGvWLN5++23eeustpkyZwsqVK9m6dWubT2y1WlmzZg0bNmwgMzOTjRs3cuTIkSbLLFq0iIyMDLZs2YJSik2bNgGwfPlyZsyYQW5uLkOGDGHdunUArF27loSEBHJycpg+fTorV65s8nxPPvkklZXX1um2tso6tFoNnSJC2rX89T07U1TmoNIu92kRQgRGm8Xyv//7v7zxxhukpqbSv39/+vXrx5QpU3jllVd4/fXX23zinTt3Mnr0aKKioggPDycpKanJlfsFBQXU1tYyfPhwANLT08nNzcXpdLJ7926SkpKaTAfYtm0baWlpAKSmpvLJJ5/gdDoByM7OJiIi4pq7AVl5VR1RphC0Wk27lr+hZxcADp+u8GMqIYRoXZvFYrfb6d69e7Ppffv2pa6u7TOPiouLMZvN3scWiwWr1drqfLPZjNVqpby8HJPJhF6vbzL9wnX0ej0mkwmbzUZhYSF/+9vfrsnjPuVVdXRpx26wRn26RWLQa2V3mBAiYNoc0kWn07U6T6m2R9L1eDxoNN9/y1ZKNXnc2vwLlwOaPb4ww9KlS3n88ccJDb34Ae6WxMSYADCbg2vY+cOnyqmtd9Otq4lI0/fvzWDQN3kMEB5uxBwdDsCgPtEcP1Pl1/cTbJ8VSKZLEYy5gjETBGeuYMx0vnaNFXY54uLi2LNnj/dxSUkJFoulyfzzD76XlpZisViIjo6mqqoKt9uNTqdrsp7FYqG0tJS4uDhcLhd2u53y8nKOHTvG0qVLATh16hSPPfYYTz75JKNHj25X1rKyamJiTJSUVPnirftMfnE1AOEhOqqqa73TnU5Xk8cANbX1nDjdsBUZ3zWc3M9PkXe0hChTKBe5/OWSmc2RQfdZSab2C8ZcwZgJgjNXMGTSajXeL+QtabNYvv32W26++eZm05VS1Ne3fXB47NixvPDCC9hsNsLCwti6dStPPvmkd358fDxGo5G9e/dyyy23kJWVRWJiIgaDgYSEBLKzs0lLSyMzM5PExEQAxo0bR2ZmJvfeey/Z2dkkJCQwcOBAPv74Y+/z3nXXXdfMdTanrQ1/eaLasSuszunmm+8aitrl9qAUbPn8JFMS+6E3+u37gxBCNNPmb5wPPvjgsp84NjaWhQsXMnv2bJxOJ9OmTWPYsGHMnTuX+++/n6FDh7J69Woee+wxqqurGTx4MLNnzwZg2bJlLF68mJdffplu3brx5z//GYAFCxawePFiUlJSiIyMZPXq1Zed72pQWGonzKgjNKT1XZItMUeFodGA1Vbjp2RCCNE6jbrYwZIfgGDdFfbHt/ZSZa8naVSvJtNvut7s3TppbVr2rpNoNJDx/0YS4eMtlmDYFL+QZGq/YMwVjJkgOHMFQ6aL7QqTAb+CmNXmaPf1KxeKjQ6n7Gwt9U63j1MJIUTbpFiClKPWSZXDSeTlFkuXMDwKTpwJrm9bQohrnxRLkLKWNxwf6RRuuKz1zecGrTxWeNZnmYQQoj2kWILUGZsD4LJ3hRkNOqJMIRwruLaGuBFCBD8pliBltTnQAJGXucUCYOkSxvGiSjyeH/z5GUKIDiTFEqSs5TXEdA5FdwU3VLN0Cae23s3pkmofJhNCiLZJsQQpq81BbEzEFT1H483BDp+W4yxCiI4jxRKElFJYyx3Edgm/oueJCNUTZQqRkY6FEB1KiiUIVTmc1NS5iY25smLRaDRcF9+Zw6fPXnTQUCGE8BUpliDUeEbYlW6xAPTr3pnyqjrKKmsvvrAQQviAFEsQspafK5Yr3GIBuC6+EyDHWYQQHUeKJQhZbTXotBpiOl/e/WXO1z0mgjCjTopFCNFhpFiCkLXcgTkq7IpONW6k1Wro172zHMAXQnQYKZYgZLU5iD13qrAvDOjRmYISO/Zap8+eUwghWiPFEmQ8SlFcXkNs9JUfX2k0oEcUIMdZhBAdQ4olyFRU1VHv8vi0WK7r3gm9TsO3p8p99pxCCNEaKZYgY/Weauy7XWEhBh39unfm0KkKnz2nEEK0RoolyDQOlx/nwy0WgBt6RXHKWoVDjrMIIfxMiiXInLE5MOi1REUaffq8A3t1QSn4Ll+Oswgh/EuKJcgUl9cQ2yUMrUbj0+ftF98JvU7LITnOIoTwMymWIHPGduWDT7bEoNfRP74Th05KsQgh/EuKJYi4PR5KKnx7qvH5BvXuwqniaiod9X55fiGEACmWoFJ2tha3R/n0jLDzDe4bA8B/Ttj88vxCCAFSLEGl8Ywwf22x9ImLJCJUz3+Oy+4wIYT/SLEEEe9w+X4qFq1Ww6DeXTh4wib3ZxFC+I0USxApttUQZtTRKdzgt9cY3Dea8qo6isocfnsNIcQPmxRLEDlT7sDSJRyND0811mg12Otc3n+ui+8MwL6jZT57DSGEOJ8+0AHE96w2B/3O/eL3lTqnm2++K2kyrXvXCPYdLWXCqF4+fS0hhADZYgkaTpeHsspav50Rdr7BfaP5Lv+sDKMvhPALKZYgUVJRg1L+O3B/vqHXxeBRiv3HZHeYEML3pFiCxPejGvu/WHrHRRIZbuCbI1IsQgjfk2IJEt9fw+L/XWFarYab+nVl39EyXG6P319PCPHDIsUSJKzlDkxhBiJC/Xeq8fluucFMTZ2Lg8flKnwhhG9JsQQJq83h83uwtGVw32jCjHr2HCrusNcUQvwwSLEECeu54fI7il6n5eYBXfnycClOl+wOE0L4jhRLEKird1NeVdchZ4Sdb8QgS8PuMBmUUgjhQ1IsQcBa7t8xwlpzY59oTGEGdh0406GvK4S4tvm1WDZv3kxycjLjx49n/fr1zebn5eWRnp5OUlISS5cuxeVyAVBYWMjMmTOZMGEC8+fPx263A1BZWcm8efOYOHEiM2fOpKSk4Yry4uJifvOb3zB58mTuvPNOdu3a5c+35XPeM8I6aFdY4zAvdS4Pt9xg5qvDJZx1yMWSQgjf8FuxWK1W1qxZw4YNG8jMzGTjxo0cOXKkyTKLFi0iIyODLVu2oJRi06ZNACxfvpwZM2aQm5vLkCFDWLduHQBr164lISGBnJwcpk+fzsqVKwF4+umn+dnPfkZWVhbPPvssDz/8MG63219vzec68hoWaBjmZXeeld15VkzhBlxuxa4DRR3y2kKIa5/fimXnzp2MHj2aqKgowsPDSUpKIjc31zu/oKCA2tpahg8fDkB6ejq5ubk4nU52795NUlJSk+kA27ZtIy0tDYDU1FQ++eQTnE4nd9xxB6mpqQD07t2buro6HI6rZ/Req81Bl0gjxhBdh792dKSRLpFGPjto7fDXFkJcm/xWLMXFxZjNZu9ji8WC1Wptdb7ZbMZqtVJeXo7JZEKv1zeZfuE6er0ek8mEzWYjKSmJzp0bBm987bXXGDRoEJGRkf56az7XcJ/7jjsj7HwajYb+8Z05Za3ixJnKgGQQQlxb/Da6scfjaTL8u1KqyePW5l+4HNDqMPJKKbTa77vxjTfeYOPGjbz11luXlDUmxgSA2dzxZaSU4kx5DeN+FN/s9YttDiJNoc3WMRj0zaa3NK29y950g4V9R8vYebCYEUPj25U7EJ/VxUim9gvGXMGYCYIzVzBmOp/fiiUuLo49e/Z4H5eUlGCxWJrMbzz4DlBaWorFYiE6Opqqqircbjc6na7JehaLhdLSUuLi4nC5XNjtdqKiooCG4ywff/wx69evJy4u7pKylpVVExNjoqSk6gre8eU5a6/HXuMkKtzQ/PV1Oqqqa5ut43S6mk1vadqlLDtikIVtX55m0tjemMLavvrfbI4MyGfVFsnUfsGYKxgzQXDmCoZMWq3G+4W8xfn+euGxY8eya9cubDYbNTU1bN26lcTERO/8+Ph4jEYje/fuBSArK4vExEQMBgMJCQlkZ2cDkJmZ6V1v3LhxZGZmApCdnU1CQgIGg4E33niDzz//nL///e+XXCqBVlTacMZbt5iIgOZIvKk7LreHbV8VBDSHEOLq57diiY2NZeHChcyePZspU6aQmprKsGHDmDt3Lvv37wdg9erVrFq1igkTJuBwOJg9ezYAy5YtY9OmTSQnJ7Nnzx4eeOABABYsWMDXX39NSkoKGzZsICMjA6UUL730EjabjbvuuovJkyczefLkJsdzglnRuTPCusV07DUsF+rWNYIhfaP5YE8+dc6r54w6IUTw8esdJNPS0rxncTX661//6v3/gQMH8n//93/N1ouPj+fNN99sNj0qKor//u//bjZ99+7dPkgbGEVldowGHV0ijYGOQsqY3jy14Ss+3VfEz2/pEeg4QoirlFx5H2BFZQ7iYnx7n/vLdX3PKPr36Ezu5ydl/DAhxGWTYgmwM2V2ugd4N1gjjUbDpB/3oayyjo+/lmMtQojLI8USQHX1bsoq64gL8IH78w3uE83AXlFs3nmCmjpXoOMIIa5CUiwBdKbxwH0HDz7Zksbxwxz1blLG9qHK4WTzzhPIHjEhxKXy68F70bbTJdUAxJsDv8VS53TzzXffX1fUJy6SrbvzGXljLH1ig/tiLCFEcJEtlgDKL67GoNd22OCTlyJhoBmtBt7ddhSlVKDjCCGuIlIsAVRQUk33rhFotYE/I+xC4aEGburflQPHbXyRJ7cvFkK0nxRLAOWX2Olpbn1YhEAb1LsLfeIieWvrt5ytrgt0HCHEVUKKJUAq7fVU2uvpEQTHV1qj1WqYmXQDdU4Pr/0zD4/sEhNCtIMUS4A0HrjvYQneLRaAuOhwfnX7AA4ct/HPXScDHUcIcRWQYgmQ08VXR7EA/HR4d0bfGEvm9mPsO1oa6DhCiCAnxRIg+SXVdIoIoVN4SKCjXJRGo2HOhIH0skTyctZBjheeDXQkIUQQk2IJkHxrNT2vgq2VRsYQHfdPG0a4UU/GX3Z5L+4UQogLSbEEQJ3TzekSO327dQp0lItqvCLfXuciJETH/3fnUDwexTN//4qiMnug4wkhgpAUSwCcPFOFRymuuwqKpc7pZnee1ftPfnEVD/7qZtxuD6ve+pLjRZWBjiiECDJSLAHQ+Mu4b7erc6iUnrGRLJl1C6EhOla99SXbvykMdCQhRBCRYgmA40WVxHQy0tkU+Jt7Xa7Y6HAem5PAgB6deT3nEG/k5OF0yZ0nhRBSLAFxrLDyqji+cjGdwkN46BfDSRnTm0++KeKJv+3haIGcMSbED50USwerdNRTeraWvt2v/mKBhqvzp47rx39NHYa9xskf39zL6zmHKK2sxV7nkmH3hfgBkmHzO9ixgobjK1fDgfvWuNwe6i+4CVj/nlFMHN2brw6XsP2bQnbnWbmpfwy/uv36ZtfquDxQ52y6vtGgRy9fc4S4JkixdLC8k+UY9Fquu4q3WOqcbvbkWZtMu+l6Mwa9lpGDYrmue2f2Hirm8/8Uc6ywiqnjriNhoAWtRnNufRe7L1h/xKBY9Eb56yjEtUB+kjtY3kkb/eM7Y9DrAh3Fb7p2DmX8yJ4UlNjJO1nOf2cdpPuOE6SN7cOIgZZAxxNC+JkUSweqtNdzusTO1HGxgY7idxqNhh4WE5NvvY7/HLexeecJXnnvIO/tOM74kb3wKOXdghFCXFukWDpQ3slyAAb27hLgJB1Hq9Uw6sZYRgyysOdQMZt3nuBvOYfoFBHCsH7R9InrFJQ3OhNCXD4plg6Ud7KcMKOOPnFX54WRV0Kr0TByUCwJAy3sOniGdz8+xqf7zvDNkTKG9Yvh5htkF5kQ1woplg7iUYr9x8oY2KsLOu0P5/SnxrHGzjesv5l6p5v84mq+OVLGjv1n+C6/grSxfRk9OBa97ofz+QhxLZJi6SDHCispr6pj6rjrAh2lQ9U53XzzXUmTaTddb0aj0dArNpKeFhP5xdUcKajkf7LzyPr0OONH9iRxWHeMIdfuCQ5CXMukWDrI7rxi9DoNw/ubAx0lqDQWTPq4fhw5fZacz07y938d5r1Pj5M4vDs/GdqNbjHBe/tmIURzUiwdwKMUe74tZkjfGMJD5SNviUajYXj/rgzv35Ujp8+S+8UptnyeT85np+gf35mRgywM7htNXHQ4GjmbTIigJr/lOsCR02cpr6pj2k/7BTrKVaF/j87c12MoZ6vr2HXQyqf7i9jwr8MAdIk0MqBHZ7rFRNC9awTmqFAiw0LoFBUe4NRCiEZSLB3gw72nCTPqGd6/a6CjBK2WDvLrDTpuH9GLCaN6UVJRw39O2Dh4opzjRZXszitGXfAcRoOOyHADkeEhdAo3EBkRginMQESoAXOXMCxdwojpFIoxxIDTJUPKCOEvUix+VlpRw55vi5kwshdhMmRJq1o6yA/fD/Vijgpj3PB4xg2Px+WBqpo6im012KpqqXY4qXcryipqqK5xUl3jpKyylhNnqqiuceL2fF9BOq2GnrGRhBt1mKMayibMqJchZYTwIflJ8rMP9pxGq9Hw81t6BDrKNaPO6eKbw6Xexwa9ljE3dWPPwaJmyw4b0JXPD5yh0lFPpd1JRVUdNfUuDp2q4D8nGi5YjTKFcOJMFUP7xnBDryhMYYYOey9CXIukWPyouNzBtq8LGHVjLNGdQgMd56rU0i4yz4X7wNpaX6MhzKgnzKgn9tyABzddb+bLQ8XYKms5Y3NwpszBZwfO8MnXhWiAHhYTA3t1YWDvKG7oGUV46MWLpqURm5XNgduD7GITPzhSLH6ilOLNLd+iO3e/EnF5WrsO5krptBrMUWGYo8IYel0MP7reTLHNwaGT5Rw6VcG2rwv4YE8+GiCmcyjdu0YQFx1OdKSRThEhdIoIITREj9GgJcSgw+VRHDhWhk6n8Y6BFmkKZWDPzs12sbVUQiDHecS1Q4rFTz76soCDJ8qZecf1dIm8em9B/EOh12kZ0COKAT2iSPsxOF1ujhVW8l1+BQWldorKHOSdLMfZjjuX6bQaDPqGwjGFGQgP1RN67v87RYQQZtRTeraG0BA9YUYdYUY9oSE6Rt4YJ8d5xDVB/hb7wZ5DxWz44DuG9Yvhth/FBzqOaIeWdrn1iI2kb3wX7xlkSilq6lzU1ntw1NRTW++m3uWh3ummqsbJ0YKzuNweXG5PQwFpNBj1OpwuN9U1Ts7YHFTa66lvoZy0Gg05n50iulMo0ZFGunQyEh0ZSpdII9GdjHSJDCUy3CAjQourgl+LZfPmzbz88su4XC7mzJnDzJkzm8zPy8tj6dKl2O12EhISWL58OXq9nsLCQhYtWkRZWRl9+/Zl9erVREREUFlZycMPP0x+fj7R0dGsXbsWs9lMfX09S5cu5cCBA4SGhrJ69Wr69ev43U9uj4f3d57kvR3H6RffmflThsjIvVeJ1s5Ku+l6c7PpIwbF0tPcdDQAe52L0AuGoGncFRZx3laIUgpbdR079hVRW++ips6No86Fo9ZFmFFHZXU9RwrOUn6orsnZbAB6nYYok/Fc8ZwroMiG0mkoHyOmMIOMtSYCzm/FYrVaWbNmDe+++y4hISH88pe/ZNSoUfTv39+7zKJFi1ixYgXDhw/n97//PZs2bWLGjBksX76cGTNmkJKSwksvvcS6detYtGgRa9euJSEhgb/85S9kZmaycuVK1q5dy5tvvklYWBg5OTns3r2bJUuWsGnTJn+9tWZKKmr4+nAp/9qbT0lFLWMGxzFr/PUYDTLW1bXoUk4oaGnZEIPee5zmfCMHx6HOPZFHKaodTqprXJRUOKiorqOiqo6K6jrOVjdsHe2pal4+AKEhjbvgGna9RYYZMIUZCDPqCDHoiI4Kp77OiUGnBU1D2SnV8JpKNTz2nPuvywNOpxsP5+Z5FDqdtuHYkl5LiF6HQa9t2PWn1xISosOo1537b8PuQKNBJ1+wfmD8Viw7d+5k9OjRREVFAZCUlERubi733XcfAAUFBdTW1jJ8+HAA0tPTef7555k+fTq7d+/mpZde8k6fNWsWixYtYtu2baxfvx6A1NRUnnjiCZxOJ9u2bWPBggUAjBgxApvNRmFhId27d29X1sa/9Jf6l3/Tv49w6FQF1Y56AHrHdeL/Jd/IjX18c78VpdW0eEaSXqdtNr2laZey7KWt3zxXx75++zL56/XdHkXecVuTaYP6RjdbLsyob/eybT1veVUtXTuH0bVzGHDu5AWPwqMUjlonZ+31VNrrOWt3crLoLHVON/VOD/UuN1qNBltlLfkl1dQ73c1es6PodA27BQ2GhiLS67TotBp0Wg1arQZjiB6P241W2zBdq2mY3jC/YVdh47JarRadRoNGQ8NFsgrUuctlG2v2+4JUqHOflUeBx/N9iTb5/3OPXW6Pt1SVghCDDpQ6L8uF2TQXZNOg02jQ6jRoNZfwO6UdZzo2LhIeGoKjtv6iy2vO/Utz7pEG8O5J1TQ8vq57Z3rFmtqX8TwXe19+K5bi4mLM5u/P3rFYLOzbt6/V+WazGavVSnl5OSaTCb1e32T6hevo9XpMJhM2m63F5zpz5ky7i6VLl4bdGjExl/YBz582/JKWvxwpt7a8S++6Hs3Lq6Vpl7LspazfM7ZTQF+/vZk68vWvdP1LXVaIYOW3nbEej6fJYIFKqSaPW5t/4XJAq4MOKqXQarXN1mmcLoQQouP57bdvXFwcJSXfH/QsKSnBYrG0Or+0tBSLxUJ0dDRVVVW43e5m61ksFkpLG664drlc2O12oqKiiI2Npbi4uNlzCSGE6Hh+K5axY8eya9cubDYbNTU1bN26lcTERO/8+Ph4jEYje/fuBSArK4vExEQMBgMJCQlkZ2cDkJmZ6V1v3LhxZGZmApCdnU1CQgIGg4Fx48aRlZUFwJ49ezAaje3eDSaEEMK3NEqpSxgg49Js3ryZV155BafTybRp05g7dy5z587l/vvvZ+jQoRw6dIjHHnuM6upqBg8ezKpVqwgJCaGgoIDFixdTVlZGt27d+POf/0znzp2pqKhg8eLF5OfnExkZyerVq+nRowd1dXVkZGRw4MABQkJCWLFiBYMHD/bX2xJCCNEGvxaLEEKIHx45wi2EEMKnpFiEEEL4lBSLEEIIn5JiEUII4VM/iGLZu3cv06ZNY/LkycyZM4eCggIAKisrmTdvHhMnTmTmzJne62rq6+tZtGgREydO5M477+To0aNAw4WXTz31FBMmTCA5Odl7qrQ/bN68meTkZMaPH+8dxsafXnzxRVJSUkhJSeHpp58GGoblSUtLY/z48axZs8a7bF5eHunp6SQlJbF06VJc50b/LSwsZObMmUyYMIH58+djt9t9ku2pp55i8eLFQZPpo48+Ij09nYkTJ7JixYqgyJWVleX983vqqacCmqm6uprU1FROnz7t0xyt/bxeTqaNGzeSmppKWloaS5Ysob6+vsMztZSr0VtvvcVdd90VkM/KJ9QPwG233aby8vKUUkq9/fbb6t5771VKKbV8+XL1yiuvKKWU+sc//qEWLFiglFLq1VdfVY8//rhSSqkvvvhCTZ8+XSmlVE5Ojpo7d65yu93q2LFj6o477lBOp9Pnec+cOaNuu+02VV5erux2u0pLS1OHDx/2+es02rFjh/rFL36h6urqVH19vZo9e7bavHmzGjdunDp16pRyOp3q7rvvVtu2bVNKKZWSkqK++uorpZRSS5YsUevXr1dKKTVv3jz1/vvvK6WUevHFF9XTTz99xdl27typRo0apR599FFVU1MT8EynTp1SP/nJT1RRUZGqr69Xv/rVr9S2bdsCmsvhcKgRI0aosrIy5XQ61bRp09SHH34YkExff/21Sk1NVYMHD1b5+fk+/TNr7ef1UjM1/uxWVVUpj8ejHnnkEfX66693aKaWcjU6fPiwuvXWW9WsWbO80zoyly9c81ss9fX1LFiwgIEDBwJwww03UFTUcG/0bdu2kZaWBjQMavnJJ594B7WcNGkS0HRQy48//pjk5GS0Wi19+/alW7dufPXVVz7PfP4AnuHh4d4BPP3FbDazePFiQkJCMBgM9OvXjxMnTtC7d2969uyJXq8nLS2N3NzcFgcPzc3Nxel0snv3bpKSkppMvxIVFRWsWbOGe++9F4B9+/YFPNMHH3xAcnIycXFxGAwG1qxZQ1hYWEBzud1uPB4PNTU1uFwuXC4XJpMpIJk2bdrEsmXLvCNf+PLPrLWf10vNFBISwrJlyzCZTGg0Gq6//noKCws7NFNLuaDh91VGRgb333+/d1pH5/KFa/5GXyEhIUyePBloGJ/sxRdf5PbbbwcufVDL4uLiJn8JGqf72sUG8PS1AQMGeP//xIkT5OTkMGvWrGYZrFbrZQ0eerkyMjJYuHCh94tAS59LR2c6efIkBoOBe++9l6KiIn76058yYMCAgOYymUwsWLCAiRMnEhYWxogRIwL2Wa1cubLJY1/maO3nNTY29pIyxcfHEx/fcAM+m83G+vXrWbVqVYdmaikXwLPPPsvUqVPp0aOHd1pH5/KFa2qLJScnh8TExCb//PrXvwYavgk8/PDDuFwufvvb37a4vrrIoJYtDZzpj8EuLzaAp78cPnyYu+++m0ceeYSePXu2mMEXg4e2x9tvv023bt0YM2aMd1prr91RmaBh62DXrl388Y9/ZOPGjezbt4/8/PyA5jp06BDvvPMO//73v9m+fTtarZYTJ04E/LMC//6ZXenPn9VqZc6cOUydOpVRo0YFPNOOHTsoKipi6tSpTaYHOtfluKa2WCZOnMjEiRObTbfb7cyfP5+oqChefvllDIaGe2E0DmoZFxfX4qCWvXr1Ar4f1DIuLq5DBruMi4tjz5493scXDuDpD3v37uX+++/n97//PSkpKXzxxRctDiLansFDdTrdFWfOzs6mpKSEyZMnc/bsWRwOBwUFBeh03988raMzAXTt2pUxY8YQHR0NwO23305ubm5Ac3366aeMGTOGmJgYoGGXyGuvvRbwzwpaH4z2cnK09vN6OY4ePco999zDXXfdxd13391i1o7O9P7773P48GEmT56Mw+GgtLSUBx54gEWLFgU01+W4prZYWrNo0SJ69+7N2rVrCQn5/q59lzqoZWJiIps3b8btdnPy5ElOnDjB0KFDfZ73YgN4+lpRURG/+93vWL16NSkpKQDcdNNNHD9+nJMnT+J2u3n//fdJTEy8rMFDL8frr7/O+++/T1ZWFvfffz8/+9nPePXVVwOaCeC2227j008/pbKyErfbzfbt25kwYUJAcw0cOJCdO3ficDhQSvHRRx8F/M+vkS9ztPbzeqmqq6v5zW9+w4IFC7ylAr4dGPdyrFq1ipycHLKyslixYgVDhgxh7dq1Ac91WTrmHIHAOXjwoLr++utVcnKymjRpkpo0aZK65557lFJKlZeXq9/+9rcqOTlZ/eIXv/CemVFbW6seeeQRlZycrKZMmaIOHDiglFLK4/GoP/3pTyo5OVklJyer7du3+y33e++9p1JSUtT48ePVX/7yF7+9jlJKPfnkk2r48OHez2fSpElqw4YNaufOnSotLU2NHz9erVy5Unk8HqWUUnl5eWrq1KkqKSlJPfjgg6qurk4ppdTp06fVrFmz1MSJE9Xdd9+tKioqfJLvnXfeUY8++qhSSgVFprffftv7Z7N8+XLldrsDnuuVV15RSUlJKjU1VS1ZskTV1tYGNNNtt93m/XnyVY7Wfl4vNdPrr7+uBg8e3OTv+9q1awOS6cLPqtFnn33W5KywQOS6EjIIpRBCCJ/6QewKE0II0XGkWIQQQviUFIsQQgifkmIRQgjhU1IsQgghfEqKRQghhE9JsQjhJ/v27SMjIyPQMdrl7bff7pDbM4gfBikWIfzkyJEjVzzoZUfZu3cvtbW1gY4hrhHX1FhhQvjTQw89xODBg73DgGzYsIEvvviCMWPG8Oabb6LVaunatSuPP/44oaGhPP/881RVVbFkyRJWrVrFRx99xMsvv4zT6SQ0NJRHH32UH/3oR22+5vHjx8nIyMBms6HVapk/fz7JyckcPnyYJ554goqKCjQaDXfffTdTpkzh888/58knn+T9998HaPL4hRdeoKCggJKSEgoKCoiNjeWZZ57hm2++4aOPPmLHjh2EhoYyc+ZMv3+W4hrXodf5C3EV27Vrl0pNTfU+njZtmtq+fbu6/fbbVVlZmVKqYfiZiRMnKo/Ho9555x01b948pZRSx48fV6mpqcpmsymllPruu+/Uj3/8Y2W329t8zSlTpqi33npLKaVUYWGh+vnPf66qqqrUz3/+c7VlyxalVMON4W699Vb15Zdfqs8++0ylpKR41z//8fPPP+9dXymlfvvb36rnnntOKaXUo48+ql599dUr/oyEUEop2WIRop1GjRpFXV0d+/fvJywsDJvNxo4dO0hOTvaOdpyens7KlSub3Wp2x44dFBcXe2/jAA1DnJ86dcp7E7oLVVRUcOjQIaZPnw5At27d+Ne//sWRI0eoq6tj/PjxAMTGxjJ+/Hi2b9/OqFGj2nwPI0eOxGQyAXDjjTdy9uzZy/oshGiLFIsQ7aTRaJg2bRpZWVkYDAamTZvW4i9mpZT3nuSNPB4PY8aMYe3atd5pRUVFbQ5N33gDp/PvsXHs2DHcbnez+240vmbjfToaXXjXwNDQ0CbvR8lQgcIP5OC9EJfgzjvv5KOPPmLLli2kp6dz6623kp2djc1mA+Cdd94hKiqK3r17o9PpvAUzZswYduzYwdGjRwH4+OOPmTRpUpsHzE0mE4MHD/YOf15UVMSvfvUrOnXqhF6vZ+vWrUDDDau2bNnC2LFjiY6OprCwkLKyMpRS/POf/2zX+zo/qxBXSrZYhLgEZrOZG2+8EZfLRWxsLLGxsfz6179mzpw5eDweoqOjeeWVV9BqtQwfPpyXXnqJ++67jxdffJEnnniCBx98EKUUer2el19+mYiIiDZf79lnn2X58uW8+eabaDQaVq5cSbdu3Vi3bh0rVqzghRdewO1287vf/Y7Ro0cD8Mtf/pKpU6diNpv56U9/yv79+y/6vhITE/nTn/4E0OodVoVoLxk2XwghhE/JFosQAfTee+/x2muvtTgvLS2Ne+65p4MTCXHlZItFCCGET8nBeyGEED4lxSKEEMKnpFiEEEL4lBSLEEIIn5JiEUII4VP/P5+h53hBkEgrAAAAAElFTkSuQmCC",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.distplot(data_2['vote_count'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 56,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#q = data_2['revenue'].quantile(0.99)\n",
+    "\n",
+    "data_3 = data_2[data_2['revenue']<1.5e+09]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 57,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([[<AxesSubplot:title={'center':'popularity'}>,\n",
+       "        <AxesSubplot:title={'center':'revenue'}>],\n",
+       "       [<AxesSubplot:title={'center':'vote_count'}>, <AxesSubplot:>]],\n",
+       "      dtype=object)"
+      ]
+     },
+     "execution_count": 57,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1800x1800 with 4 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "data_3.hist(figsize=(25,25), bins=50)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 58,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data_final = data_3.reset_index(drop=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 59,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data_final['revenue'] = data_final['revenue'].astype(float)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 60,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>popularity</th>\n",
+       "      <th>production_companies</th>\n",
+       "      <th>revenue</th>\n",
+       "      <th>title</th>\n",
+       "      <th>vote_count</th>\n",
+       "      <th>star</th>\n",
+       "      <th>new_genres</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>139.082615</td>\n",
+       "      <td>Walt Disney Pictures</td>\n",
+       "      <td>9.610000e+08</td>\n",
+       "      <td>Pirates of the Caribbean: At World's End</td>\n",
+       "      <td>4500</td>\n",
+       "      <td>Johnny Depp</td>\n",
+       "      <td>Adventure,Fantasy</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>107.376788</td>\n",
+       "      <td>Columbia Pictures</td>\n",
+       "      <td>8.806746e+08</td>\n",
+       "      <td>Spectre</td>\n",
+       "      <td>4466</td>\n",
+       "      <td>Daniel Craig</td>\n",
+       "      <td>Action,Adventure</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>112.312950</td>\n",
+       "      <td>Legendary Pictures</td>\n",
+       "      <td>1.084939e+09</td>\n",
+       "      <td>The Dark Knight Rises</td>\n",
+       "      <td>9106</td>\n",
+       "      <td>Christian Bale</td>\n",
+       "      <td>Action,Crime</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>43.926995</td>\n",
+       "      <td>Walt Disney Pictures</td>\n",
+       "      <td>2.841391e+08</td>\n",
+       "      <td>John Carter</td>\n",
+       "      <td>2124</td>\n",
+       "      <td>Taylor Kitsch</td>\n",
+       "      <td>Action,Adventure</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>115.699814</td>\n",
+       "      <td>Columbia Pictures</td>\n",
+       "      <td>8.908716e+08</td>\n",
+       "      <td>Spider-Man 3</td>\n",
+       "      <td>3576</td>\n",
+       "      <td>Tobey Maguire</td>\n",
+       "      <td>Fantasy,Action</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   popularity  production_companies       revenue  \\\n",
+       "0  139.082615  Walt Disney Pictures  9.610000e+08   \n",
+       "1  107.376788     Columbia Pictures  8.806746e+08   \n",
+       "2  112.312950    Legendary Pictures  1.084939e+09   \n",
+       "3   43.926995  Walt Disney Pictures  2.841391e+08   \n",
+       "4  115.699814     Columbia Pictures  8.908716e+08   \n",
+       "\n",
+       "                                      title  vote_count            star  \\\n",
+       "0  Pirates of the Caribbean: At World's End        4500     Johnny Depp   \n",
+       "1                                   Spectre        4466    Daniel Craig   \n",
+       "2                     The Dark Knight Rises        9106  Christian Bale   \n",
+       "3                               John Carter        2124   Taylor Kitsch   \n",
+       "4                              Spider-Man 3        3576   Tobey Maguire   \n",
+       "\n",
+       "          new_genres  \n",
+       "0  Adventure,Fantasy  \n",
+       "1   Action,Adventure  \n",
+       "2       Action,Crime  \n",
+       "3   Action,Adventure  \n",
+       "4     Fantasy,Action  "
+      ]
+     },
+     "execution_count": 60,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data_final.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 61,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>popularity</th>\n",
+       "      <th>production_companies</th>\n",
+       "      <th>revenue</th>\n",
+       "      <th>title</th>\n",
+       "      <th>vote_count</th>\n",
+       "      <th>star</th>\n",
+       "      <th>new_genres</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>count</th>\n",
+       "      <td>1205.000000</td>\n",
+       "      <td>1205</td>\n",
+       "      <td>1.205000e+03</td>\n",
+       "      <td>1205</td>\n",
+       "      <td>1205.000000</td>\n",
+       "      <td>1205</td>\n",
+       "      <td>1205</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>unique</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>413</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1204</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>659</td>\n",
+       "      <td>132</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>top</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Universal Pictures</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>The Host</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Matt Damon</td>\n",
+       "      <td>Comedy,Drama</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>freq</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>91</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>2</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>14</td>\n",
+       "      <td>73</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mean</th>\n",
+       "      <td>35.267109</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1.622383e+08</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1383.145228</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>std</th>\n",
+       "      <td>29.569232</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>2.255582e+08</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1693.870514</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>min</th>\n",
+       "      <td>0.132878</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>9.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25%</th>\n",
+       "      <td>13.707843</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1.525000e+07</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>277.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50%</th>\n",
+       "      <td>27.082182</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>7.210861e+07</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>705.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75%</th>\n",
+       "      <td>46.630062</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>2.034276e+08</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1798.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>max</th>\n",
+       "      <td>167.932870</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1.405404e+09</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>13752.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "         popularity production_companies       revenue     title  \\\n",
+       "count   1205.000000                 1205  1.205000e+03      1205   \n",
+       "unique          NaN                  413           NaN      1204   \n",
+       "top             NaN   Universal Pictures           NaN  The Host   \n",
+       "freq            NaN                   91           NaN         2   \n",
+       "mean      35.267109                  NaN  1.622383e+08       NaN   \n",
+       "std       29.569232                  NaN  2.255582e+08       NaN   \n",
+       "min        0.132878                  NaN  0.000000e+00       NaN   \n",
+       "25%       13.707843                  NaN  1.525000e+07       NaN   \n",
+       "50%       27.082182                  NaN  7.210861e+07       NaN   \n",
+       "75%       46.630062                  NaN  2.034276e+08       NaN   \n",
+       "max      167.932870                  NaN  1.405404e+09       NaN   \n",
+       "\n",
+       "          vote_count        star    new_genres  \n",
+       "count    1205.000000        1205          1205  \n",
+       "unique           NaN         659           132  \n",
+       "top              NaN  Matt Damon  Comedy,Drama  \n",
+       "freq             NaN          14            73  \n",
+       "mean     1383.145228         NaN           NaN  \n",
+       "std      1693.870514         NaN           NaN  \n",
+       "min         9.000000         NaN           NaN  \n",
+       "25%       277.000000         NaN           NaN  \n",
+       "50%       705.000000         NaN           NaN  \n",
+       "75%      1798.000000         NaN           NaN  \n",
+       "max     13752.000000         NaN           NaN  "
+      ]
+     },
+     "execution_count": 61,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data_final.describe(include='all')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 62,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "popularity              0\n",
+       "production_companies    0\n",
+       "revenue                 0\n",
+       "title                   0\n",
+       "vote_count              0\n",
+       "star                    0\n",
+       "new_genres              0\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 62,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data_final.isnull().sum()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 63,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array(['popularity', 'production_companies', 'revenue', 'title',\n",
+       "       'vote_count', 'star', 'new_genres'], dtype=object)"
+      ]
+     },
+     "execution_count": 63,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data_final.columns.values"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 64,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "RangeIndex: 1205 entries, 0 to 1204\n",
+      "Data columns (total 7 columns):\n",
+      " #   Column                Non-Null Count  Dtype  \n",
+      "---  ------                --------------  -----  \n",
+      " 0   popularity            1205 non-null   float64\n",
+      " 1   production_companies  1205 non-null   object \n",
+      " 2   revenue               1205 non-null   float64\n",
+      " 3   title                 1205 non-null   object \n",
+      " 4   vote_count            1205 non-null   int64  \n",
+      " 5   star                  1205 non-null   object \n",
+      " 6   new_genres            1205 non-null   object \n",
+      "dtypes: float64(2), int64(1), object(4)\n",
+      "memory usage: 66.0+ KB\n"
+     ]
+    }
+   ],
+   "source": [
+    "data_final.info()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 65,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from statsmodels.stats.outliers_influence import variance_inflation_factor\n",
+    "\n",
+    "# Since categorical data is not preprocessed, take only the numerical data.\n",
+    "variables = data_final[['revenue', 'vote_count']]\n",
+    "\n",
+    "# Create a new data frame which includes all VIFs (Variance Inflation Factor)\n",
+    "# Each variable has its own variance inflation factor. This measure is variable specific\n",
+    "vif = pd.DataFrame()\n",
+    "\n",
+    "# Make use of the variance_inflation_factor module, output the respective VIFs \n",
+    "vif[\"VIF\"] = [variance_inflation_factor(variables.values, i) for i in range(variables.shape[1])]\n",
+    "\n",
+    "# Include variable names so it is easier to explore the result\n",
+    "vif[\"Features\"] = variables.columns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 66,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>VIF</th>\n",
+       "      <th>Features</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>3.741807</td>\n",
+       "      <td>revenue</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>3.741807</td>\n",
+       "      <td>vote_count</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        VIF    Features\n",
+       "0  3.741807     revenue\n",
+       "1  3.741807  vote_count"
+      ]
+     },
+     "execution_count": 66,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Explore the result\n",
+    "vif"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 67,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Remove 'Year' as feature with the highest VIF from the model\n",
+    "data_final = data_final.drop(['star', 'production_companies'],axis=1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 68,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>popularity</th>\n",
+       "      <th>revenue</th>\n",
+       "      <th>title</th>\n",
+       "      <th>vote_count</th>\n",
+       "      <th>new_genres</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>count</th>\n",
+       "      <td>1205.000000</td>\n",
+       "      <td>1.205000e+03</td>\n",
+       "      <td>1205</td>\n",
+       "      <td>1205.000000</td>\n",
+       "      <td>1205</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>unique</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1204</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>132</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>top</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>The Host</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Comedy,Drama</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>freq</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>2</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>73</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mean</th>\n",
+       "      <td>35.267109</td>\n",
+       "      <td>1.622383e+08</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1383.145228</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>std</th>\n",
+       "      <td>29.569232</td>\n",
+       "      <td>2.255582e+08</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1693.870514</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>min</th>\n",
+       "      <td>0.132878</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>9.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25%</th>\n",
+       "      <td>13.707843</td>\n",
+       "      <td>1.525000e+07</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>277.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50%</th>\n",
+       "      <td>27.082182</td>\n",
+       "      <td>7.210861e+07</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>705.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75%</th>\n",
+       "      <td>46.630062</td>\n",
+       "      <td>2.034276e+08</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1798.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>max</th>\n",
+       "      <td>167.932870</td>\n",
+       "      <td>1.405404e+09</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>13752.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "         popularity       revenue     title    vote_count    new_genres\n",
+       "count   1205.000000  1.205000e+03      1205   1205.000000          1205\n",
+       "unique          NaN           NaN      1204           NaN           132\n",
+       "top             NaN           NaN  The Host           NaN  Comedy,Drama\n",
+       "freq            NaN           NaN         2           NaN            73\n",
+       "mean      35.267109  1.622383e+08       NaN   1383.145228           NaN\n",
+       "std       29.569232  2.255582e+08       NaN   1693.870514           NaN\n",
+       "min        0.132878  0.000000e+00       NaN      9.000000           NaN\n",
+       "25%       13.707843  1.525000e+07       NaN    277.000000           NaN\n",
+       "50%       27.082182  7.210861e+07       NaN    705.000000           NaN\n",
+       "75%       46.630062  2.034276e+08       NaN   1798.000000           NaN\n",
+       "max      167.932870  1.405404e+09       NaN  13752.000000           NaN"
+      ]
+     },
+     "execution_count": 68,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data_final.describe(include='all')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 69,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data_with_dummies = pd.get_dummies(data_final, drop_first=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 70,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>popularity</th>\n",
+       "      <th>revenue</th>\n",
+       "      <th>vote_count</th>\n",
+       "      <th>title_(500) Days of Summer</th>\n",
+       "      <th>title_10 Cloverfield Lane</th>\n",
+       "      <th>title_12 Rounds</th>\n",
+       "      <th>title_13 Hours: The Secret Soldiers of Benghazi</th>\n",
+       "      <th>title_1408</th>\n",
+       "      <th>title_1911</th>\n",
+       "      <th>title_2 Guns</th>\n",
+       "      <th>...</th>\n",
+       "      <th>new_genres_Thriller,Crime</th>\n",
+       "      <th>new_genres_Thriller,Documentary</th>\n",
+       "      <th>new_genres_Thriller,Drama</th>\n",
+       "      <th>new_genres_Thriller,Horror</th>\n",
+       "      <th>new_genres_Thriller,Mystery</th>\n",
+       "      <th>new_genres_Thriller,Science Fiction</th>\n",
+       "      <th>new_genres_War,Action</th>\n",
+       "      <th>new_genres_War,Crime</th>\n",
+       "      <th>new_genres_War,Drama</th>\n",
+       "      <th>new_genres_Western,Drama</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>139.082615</td>\n",
+       "      <td>9.610000e+08</td>\n",
+       "      <td>4500</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>107.376788</td>\n",
+       "      <td>8.806746e+08</td>\n",
+       "      <td>4466</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>112.312950</td>\n",
+       "      <td>1.084939e+09</td>\n",
+       "      <td>9106</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>43.926995</td>\n",
+       "      <td>2.841391e+08</td>\n",
+       "      <td>2124</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>115.699814</td>\n",
+       "      <td>8.908716e+08</td>\n",
+       "      <td>3576</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>5 rows × 1337 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   popularity       revenue  vote_count  title_(500) Days of Summer  \\\n",
+       "0  139.082615  9.610000e+08        4500                           0   \n",
+       "1  107.376788  8.806746e+08        4466                           0   \n",
+       "2  112.312950  1.084939e+09        9106                           0   \n",
+       "3   43.926995  2.841391e+08        2124                           0   \n",
+       "4  115.699814  8.908716e+08        3576                           0   \n",
+       "\n",
+       "   title_10 Cloverfield Lane  title_12 Rounds  \\\n",
+       "0                          0                0   \n",
+       "1                          0                0   \n",
+       "2                          0                0   \n",
+       "3                          0                0   \n",
+       "4                          0                0   \n",
+       "\n",
+       "   title_13 Hours: The Secret Soldiers of Benghazi  title_1408  title_1911  \\\n",
+       "0                                                0           0           0   \n",
+       "1                                                0           0           0   \n",
+       "2                                                0           0           0   \n",
+       "3                                                0           0           0   \n",
+       "4                                                0           0           0   \n",
+       "\n",
+       "   title_2 Guns  ...  new_genres_Thriller,Crime  \\\n",
+       "0             0  ...                          0   \n",
+       "1             0  ...                          0   \n",
+       "2             0  ...                          0   \n",
+       "3             0  ...                          0   \n",
+       "4             0  ...                          0   \n",
+       "\n",
+       "   new_genres_Thriller,Documentary  new_genres_Thriller,Drama  \\\n",
+       "0                                0                          0   \n",
+       "1                                0                          0   \n",
+       "2                                0                          0   \n",
+       "3                                0                          0   \n",
+       "4                                0                          0   \n",
+       "\n",
+       "   new_genres_Thriller,Horror  new_genres_Thriller,Mystery  \\\n",
+       "0                           0                            0   \n",
+       "1                           0                            0   \n",
+       "2                           0                            0   \n",
+       "3                           0                            0   \n",
+       "4                           0                            0   \n",
+       "\n",
+       "   new_genres_Thriller,Science Fiction  new_genres_War,Action  \\\n",
+       "0                                    0                      0   \n",
+       "1                                    0                      0   \n",
+       "2                                    0                      0   \n",
+       "3                                    0                      0   \n",
+       "4                                    0                      0   \n",
+       "\n",
+       "   new_genres_War,Crime  new_genres_War,Drama  new_genres_Western,Drama  \n",
+       "0                     0                     0                         0  \n",
+       "1                     0                     0                         0  \n",
+       "2                     0                     0                         0  \n",
+       "3                     0                     0                         0  \n",
+       "4                     0                     0                         0  \n",
+       "\n",
+       "[5 rows x 1337 columns]"
+      ]
+     },
+     "execution_count": 70,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data_with_dummies.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 71,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "target = data_with_dummies['popularity']\n",
+    "predictors = data_with_dummies.drop(['popularity'],axis=1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 72,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# 80-20 split into training and test data\n",
+    "X_train, X_test, y_train, y_test = train_test_split(predictors, target, test_size=0.2, random_state=123)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 73,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "scaler = StandardScaler()\n",
+    "scaler.fit(X_train)\n",
+    "\n",
+    "X_train = scaler.transform(X_train)\n",
+    "X_test = scaler.transform(X_test)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 74,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "LinearRegression()"
+      ]
+     },
+     "execution_count": 74,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "reg = LinearRegression()\n",
+    "reg.fit(X_train,y_train)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 75,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "training performance\n",
+      "1.0\n",
+      "test performance\n",
+      "0.5546065264388957\n"
+     ]
+    }
+   ],
+   "source": [
+    "print('training performance')\n",
+    "print(reg.score(X_train,y_train))\n",
+    "print('test performance')\n",
+    "print(reg.score(X_test,y_test))"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 4.2 Lineare Regression"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 76,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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iaiT5INTZb8rMKRERbRYMTomIiBrIXFmvkzllcEpERJsDg1MiIqJGkrODU+H0nKpuAIJlvURE1PQYnBIRETWQJT2nQgCaG9LI1fOwiIiIqo7BKRERUQORTobU6TlFvrSXmVMiImpyRQWniUQCb3zjG3Hu3DkAwDe+8Q288Y1vxO23344PfvCDyOXsq7nHjh3DHXfcgde97nX40Ic+BMMwqnfkREREzUh3ynq9c7dpHvacEhFR01szOD1w4ADe9ra34dSpUwCAkydP4otf/CK+/vWv4/7774dlWfja174GAPjABz6Aj3zkI3j44YchpcS9995b1YMnIiJqNnMDkRZlThmcEhFRk1szOL333ntx1113oaurCwDgdrtx1113IRgMQgiBCy+8EMPDwzh//jwymQyuuOIKAMAdd9yBhx56qKoHT0RE1GykngFcXggx71e05pkr9yUiImpS2lp3uPvuuxf8e8uWLdiyZQsAYGpqCl/96lfx8Y9/HOPj44hEIoX7RSIRjI2NVfhwiYiImpyegdA8C24SLpb1EhFR81szOF3J2NgYfv/3fx9vfvObcc011+DZZ5+1JwrmSSkX/LtYHR3Bcg+pZiKRUL0PgWgBviapEfF1WZ4xxQB8/gXfv1F/AMZskt/TCuD3kBoNX5PUiOr1uiwrOD1x4gR+//d/H7/927+N3/3d3wUA9PT0YGJionCfycnJQilwKaLRBCxLlnNYNRGJhDAxEa/3YRAV8DVJjYivy/JlEglIxb3g+5ezVJiZNL+n68TXJTUaviapEVXzdakoYtVkZMmrZBKJBH7v934P73vf+wqBKWCX+3o8Hjz77LMAgPvuuw833HBDGYdMRES0iemZhZN6AQiXm6tkiIio6ZWcOf3Wt76FyclJfPnLX8aXv/xlAMDNN9+M973vffjkJz+JD3/4w0gkEtizZw/e8Y53VPyAiYiImpnUMxD+1oU3cpUMERFtAkUHp4888ggA4J3vfCfe+c53Lnuf3bt341vf+lZFDoyIiGgzknoGyuLMqWavkil3ngMREdFGUHJZLxEREVVRbmlZL1weQErA1OtzTERERDXA4JSIiKiBOHtO5yusljFydTgiIiKi2mBwSkRE1CCktAAju3zmFGDfKRERNTUGp0RERI0iP5F3ybTefOZUcmIvERE1MQanREREDULqGfsvK5b1MjglIqLmxeCUiIioUeSDU+FeoayXmVMiImpiDE6JiIgahBN8Cm1R5tTFzCkRETU/BqdEREQNQupp+y+LM6fsOSUiok2AwSkREVGjcMp62XNKRESbEINTIiKiBiFXCE7Zc0pERJsBg1MiIqIGUQg+V1olw8wpERE1MQanREREjSLfc7okc6q57D8ZnBIRURNjcEpERNQgZM7Zc+pZcLsQCqC5WdZLRERNjcEpERFRg5B6BtA8djC6iNA8zJwSEVFTY3BKRETUKPTs3E7TxVweZk6JiKipMTglIiJqEFLPAC7fsh+zM6e5Gh8RERFR7TA4JSIiahBSTy8dhuTQPJzWS0RETY3BKRERUaPQMxDu5YNT4fIALOslIqImxuCUiIioQUg9C2gr9JxqbmZOiYioqTE4JSIiahBSz6xY1itcXganRETU1BicEhERNYrVyno1lvUSEVFzY3BKRETUIFab1stVMkRE1OwYnBIRETUAKa1V95zaq2SykFLW+MiIiIhqg8EpERFRIzByAOQqq2TcgLQAy6jpYREREdUKg1MiIqIGIPWM/ZcVByLlM6os7SUioibF4JSIiKgR5OzgdOXMqR2ccmIvERE1KwanREREDUAaxWVOGZwSEVGzYnBKRETUAGSRmVPouRodERERUW0xOCUiImoE+urBqWBZLxERNTkGp0RERA2gMBDJzYFIRES0OTE4JSIiagBOcCo0DkQiIqLNicEpERFRI3CC07UypwxOiYioSTE4JSIiagCFst61Mqcs6yUioibF4JSIiKgBSD0DaG4IZflfzcycEhFRs2NwSkRE1Aj0zMprZABAcwNg5pSIiJoXg1MiIqIGIPUMsEpwKoQCqG4ORCIioqbF4JSIiKgByNwamVPkS3uZOSUioibF4JSIiKgRrFXWCwAaM6dERNS8GJwSERE1AGlkVy3rBZg5JSKi5sbglIiIqBHk0kVkTj3MnBIRUdNicEpERNQAZBFlvULzAEauRkdERERUWwxOiYiIGsBa03oBAC4PV8kQEVHTYnBKRERUZ1JKQM/aPaWrECzrJSKiJsbglIiIqN6MHAAJuHyr30/zAAxOiYioSTE4JSIiqjOppwEAwr3WtF43y3qJiKhpMTglIiKqNz0DAEUORGJwSkREzYnBKRERUZ0VsqGLek5HoklkcsbcDS4vYJmQpgEiIqJmw+CUiIiozmQhczrXc2paFj72T8/gR8+eK9wmtHzwyuwpERE1IQanRERE9eb0nM4r602kDWR1E1PxeYFoPrPKvlMiosqRUiJ37CeFC4VUP0UFp4lEAm984xtx7px99Xbfvn24/fbbceutt+Kee+4p3O/YsWO444478LrXvQ4f+tCHYBgsOyIiIlqLzOVPiOYFp/FkDgCQTOuF24Tmtv/CzCkRUcVY08PI/uyfYJx8tt6HsumtGZweOHAAb3vb23Dq1CkAQCaTwZ133onPf/7zePDBB3H48GE8+uijAIAPfOAD+MhHPoKHH34YUkrce++9VT14IiKiZuDsLp2/5zSWygenmfk9p54F9yciovWT2YT9ZyZe5yOhNYPTe++9F3fddRe6uroAAAcPHsT27dvR398PTdNw++2346GHHsL58+eRyWRwxRVXAADuuOMOPPTQQ1U9eCIioqaQWzqttxCcLsicsqyXiKjS5oLTRJ2PhLS17nD33Xcv+Pf4+DgikUjh311dXRgbG1tyeyQSwdjYWAUPlYiIqDkV+pzml/Wm7KA0mVkanLKsl4iogjJJAHNBKtXPmsHpYpZlQQhR+LeUEkKIFW8vVUdHsOTH1FokEqr3IRAtwNckNSK+LosXdZnQNTe6ulsLt5mwf4emsmbhe5m12pECEPIrCPL7Wxa+LqnR8DVZfzMnDGQAuGWW/x959fo+lByc9vT0YGJiovDviYkJdHV1Lbl9cnKyUApcimg0AcuSJT+uViKRECYmWI9OjYOvSWpEfF2WJjMbBzTPgu/Z6IR9BT+Z1jE6NgtVUWDF7f7TWHQWaX5/S8bXJTUaviYbQzY6BQDIxGb4/4Hqvi4VRayajCx5lczll1+OkydP4vTp0zBNEw888ABuuOEGbNmyBR6PB88+a0+5uu+++3DDDTeUf+RERESbhNQzC0p6ASCe7zkFgJQzFIkDkYiIKk5m82W97Dmtu5Izpx6PB5/4xCfwnve8B9lsFjfeeCNuu+02AMAnP/lJfPjDH0YikcCePXvwjne8o+IHTERE1HT0DIR7cXA612uazBgI+d1zPacciEREVDGF4JQ9p3VXdHD6yCOPFP5+3XXX4f77719yn927d+Nb3/pWZY6MiIhok5B6BsLlW3BbLJWDz6MhnTXmJvZqzJwSEVUaM6eNo+SyXiIiIqosu6zXs+C2eCqH3g4/gLmJvUJRAFXjKhkiogoqZExNnRf/6ozBKRERUb3pmQU7TnXDQjprorc9H5ymjcLHhOblKhkiogpyMqcAs6f1xuCUiIiozuSi4NQZhtSTz5wm5u06hcvDK/tERBUkM0mIQHv+7wxO64nBKRERUZ3J3MJpvc4wpO42J3M6F5wKzcOBSEREFSItE9DTUFq67X/Py6JS7TE4JSIiqiMpJWAszJzG8pnT1qAHfo+GZGaurJeZUyKiypG5FABACTvBKTOn9cTglIiIqJ7MHCDlgsxpLGkHp6GACwGftihz6mbmlIioUjJ2plRp6QLAst56Y3BKRERURzKXAYBFPad2MBr2uxH0uRb2nGrMnBIRVYqTKRVOWS+D07picEpERFRP+nLBaQ6aKuB1qwh4XQun9brYc0pEVClOj6niawFcXvac1hmDUyIiojqS+eAUi3pOQ343hBAI+FyFPacA8pnTXI2PkoioOTnBqPAEITwBZk7rjMEpERFRHcllM6c6wn43ACDgXdxzyrJeIqJKKWRKPX4Ib5ADkeqMwSkREVE9OcGpe2FZbyjgAgAEvC6kMgYsKe37sayXiKhi5jKnAQhPkJnTOmNwSkREVEfLlvUmdYR8+cypzwUJIJ3N951qHsAy7N18RES0LjKbBFw+CEVl5rQBMDglIiKqo8VlvVJKxFM5hAuZUw0ACqW9wmUHrWBpLxHRuslMAsIbAAD2nDYABqdERET1tCg4zeomcoY113Pqs4PUZGZe5hSAZGkvEdG6yWwSwpMPTr1BIJuCtKw6H9XmxeCUiIiojubKeu2g09lxGsoHp0FvPjh1Mqf54JSZUyKi9ZO5FIQnCAD5PyWQS9X3oDYxBqdERER1JHMZQNUgFLt8N5ay18SE/PmyXp99e8KZ2OuU/zJzSkS0fpkEhMcPIJ85Bdh3WkcMTomIiOrJyEK4fIV/xpN2EBoOLF/WK/IZVu46JSJavwVlvfkMKvtO64fBKRERUR3JXHrhpN7FmdNFA5GcnlOnV5WIiMojpcwHp/myXmZO647BKRERUT3pmcIwJMDecQrM9ZyqigKfR0Ui4/Sc2rdL9pwSEa2PngGktXAgEgCZSdbzqDY1BqdERER1JPVMYRgSYA9E8rhUeFxq4baA14VkemFZL9hzSkS0LjJrB6FzZb32nyzrrR8Gp0RERHUk9eyCzGkslSuU9DoCXheSmYVlvcycEhGtjxOcIr/nFG4/IBSW9dYRg1MiIqJ6WlzWm8wVhiE5Aj6tEJwWMqcMTomI1qWQOXXnM6dCQHgCzJzWEYNTIiKiOrLLeudN603pCPsXBafzynoLmVOd03qJiNbDyZAKJ3MKu++UmdP6YXBKRERUR1JPz2VDYZf1BheX9frmynqFogKKxswpEdE6OYOPnGm9AABmTuuKwSkREVGdSCmBeT2nUsplM6dBn4Zk2rDvDwAuDyQHIhERrcvigUj235k5rScGp0RERPVi6oC0ALcdnKayBkxLIrzMQCRLSqSzJgBAaB4ORCIiWieZTQKqq7CiC8iX9XKVTN0wOCUqU+75R5F++G/qfRhEtIFJPQMAhcxpPGWX7oYWD0Ty2sFqcv6uUwanRETrk00uyJoCTnDKzGm9MDglKpM58gKMMwfnyuyIiEq1KDiNJe0hR0tWyfg0AHPBKct6iYjWTy4XnHqCgJmDNDh0rh4YnBKVSWaTgDSBXKreh0JEG5STOUUhc2qfDC03rRdAYWKvcHmZOSUiWieZTSybObU/xtLeemBwSlSurB2UynSszgdCRBvV4rLemFPWuzg49S0s64Xm4VV9IqJ1Wj5zav+bpb31weCUqEwyZ19RsxicElG5cot7Tpcv6w1682W96Xk9p07WlYiIyiKzKWD+GhnMz5wyOK0HBqdEZXImuclMvM5HQkQb1ZKy3qQOv0eDpi789ezPl/UmMkb+/uw5JSJaL5lNQHhXKOtl5rQuGJwSlcnJnLKsl4jKtqSsN7dkUi8AuDQFHpc6L3PKVTJEROshjRxg5CDc/gW3Cw+D03picEpUBmnkANPOYMg0M6dEVJ6lq2RyS3acOoI+rRCcQvNwIBIR0TrI/EBLJ1PqYFlvfTE4JSrD/AluMsPMKRGVZ+m0Xn3JpF5HwOtCMuNM6/UApgFpWTU5TiKiZuO0Zy0ZiKS67KFzzJzWBYNTojLI7Nz6GGZOiahsegZQNAjVHngUS+WWDENyBHwuJDJzZb0AmD0lIiqT0561ODh1bmPmtD4YnBKVwXlDA9hzSkTlk3qmUNJrWRKJlL5kjYwj4J1X1uuyg1P2nRIRlamQOQ0u+ZDwBpk5rRMGp0TlyJf1imAHp/USUdmkngHcdnCaSOuQAMLLDEQC7MxpoazXyZxyYi8RUVmczKjw+Jd8THiDC1q4qHYYnBKVwXnDUlp6mDklovLNy5zGVthx6gh4XUimdUgpAc0OYJk5JSIqj3Mut3xZLzOn9cLglKgMC4LTTIJDSYioLFLPLBiGBGDlgUg+DaYlkdVNeyASwMwpEVGZZDYJCAG4fUs+JrxBgMFpXTA4JSqDMxBJaekGINk0T0Rlmd9zGi8icwoAybRhr5IBM6dEROWS2SSEOwAhloZDwhOAzCUhJZMPtcbglKgMMpsE3D4If4v9b07sJaJyzC/rTeaD05V6Tp3gNKMXHsPglIioPDKbBLxLS3qBfOZUSiCXrvFREYNTojLIbBLCE4Dwhe1/c9cpEZVB5ubKemMpHUIAQe/ymdOgz143k0jrHIhERLROzrnccpwJvuw7rT0Gp0RlkLmUHZx688EphyIRURnssl470Eykcgj5XFAUsex9Az4nc2rMWyWTq82BEhE1mVWDU28+OGXbVs0xOCUqw1zmNGT/m2W9RFQiKSWgZyFc9jCO2Co7ToH5Pac6RH5aL/RM1Y+TiKgZyUxi7eCUmdOaY3BKVI5sEsLtz5d9CJb1ElHpTB2Q5ryy3tyKw5AAIOC1y3qTGX1e5pRlvURE5WBZb2NicEpUhkLmVFHsRc0s6yWiEsl81rMwrTeZQ3iFYUgA4HapcGsKkmkDQtEARWXPKRFRGaRlAbl0IQhdjGW99cPglKhEUkrIbKpwtU34wizrJaLSFYJTOwsaX6OsF7D7ThMZex8qNA8zp0RE5cilAMgVM6dw+wAhmDmtAwanRKUyc4BlAB4/AEB4Q5AZBqdEVBrpZD1dXhimhVTWWLWsF7BLe5NpOzgVLg+kzoFIRESlktkkAKxc1isUCHegcD+qHQanRCWS2RSAuX4E4QvDYlkvEZWoUNbr9iGesgPO8FqZU6/LntYLAJoHYOaUiKhkawWnAABvkJnTOlhXcHrffffhDW94A97whjfgr//6rwEA+/btw+23345bb70V99xzT0UOkqiRzL2h5TOnPmZOiagMur3cXbi8iCXtDGgxZb3JfFmvYFkvEVFZnF7S1YJT4Q2y57QOyg5O0+k07r77bnzlK1/Bfffdh2eeeQaPPPII7rzzTnz+85/Hgw8+iMOHD+PRRx+t5PES1V0hOHXne069YSCbhDSNeh4WEW0wTuYULg/iaTs4DQdWL+sN+jQk5pX1ciASEVHpCuW63lWCU0+AmdM6KDs4NU0TlmUhnU7DMAwYhoFgMIjt27ejv78fmqbh9ttvx0MPPVTJ4yWqu8WlIIVdp8yeElEp8oGlcHkRT9oB55qZU68LybRh70jV3MycEhGVYe5cbvlpvUA+c8rgtOa0ch8YDAbxvve9D7/8y78Mn8+Hl7/85RgfH0ckEincp6urC2NjYyU9b0fHyi+SRhGJhOp9CFRH8WETGQAdvRG42kJIdndjDECrz4KnTq8NviapEfF1ubrZUxIZAJ09EVhn7d+VA9vaEfStnD3t6gzCMC2EW/2wAgHomRl+n0vE7xc1Gr4ma29aNZAF0LWlG0JdPhyKtrUjdjK1af9/6vV1lx2cPv/88/j2t7+NH//4xwiFQvjTP/1TnDp1CkKIwn2klAv+XYxoNAHLkuUeVtVFIiFMTDBDtpnlJqcAANNJQBhxGDn7x2hqeASa0lHz4+FrkhoRX5dry07NAACiMQPD43GoikAqnkY6kVn5QaYJADh9dho+S4WZSfP7XAK+LqnR8DVZH5mpKcDlxeRUesX7ZC03pJ7B+OgUhLp6y0WzqebrUlHEqsnIsst6H3vsMVx33XXo6OiA2+3GHXfcgSeffBITExOF+0xMTKCrq6vcT0HUkGQuCUDYO7AAKL6wfTsn9hJRKfQMoKgQqoZ4Skc44F7zgm7Aa58gJTMGhMsLGFwlQ0RUKplNrj6pF3Mlvyztra2yg9Pdu3dj3759SKVSkFLikUceweWXX46TJ0/i9OnTME0TDzzwAG644YZKHi9R3clsEvD4IYT94yMKwSmvfBJR8aSeBVxeAEA8mUNolXJeRyB/n2Rat3tOORCJiKhkMptYOzj1Bgv3pdopu6z3la98JY4ePYo77rgDLpcLe/fuxXve8x5cf/31eM973oNsNosbb7wRt912WyWPl6juZDYF4fbP3eD2A0LlQCQiKonUM3b2E0AspSMUWH0YEgAEvPav7WRGh9A8gJmDtCwIhWvLiYiKlk0VH5wyc1pTZQenAPCud70L73rXuxbcdt111+H+++9f10ERNbLFpSBCCHvXKct6iagUegbCZbcHxFM59LT71nyIMyzJLuv12Dca2UKbARERrU1mk1Da+la9D8t664OXWolKtFyfgvCFYDE4JaISSD0D5APMeEpfc40MMK/nNK0Dmv1YrpMhIipNUWW9+Y8XdqJSTTA4JSpVNgnh8S+4SXjDLOslopI4Zb3ZnImsbiLkX7vn1O1SoKkKEml9XuaUQ5GIiIolpSxuIBLLeuuCwSlRiWQuBeFemjllWS8RlSQfnMZTdnAZLiJzKoRAwKchmZmXOeVQJCKi4hlZwDIBz8rrTABAaG5AdXMgUo0xOCUqwdzVNmZOiWh9pJ4B3F7EUjoAFDUQCQCCXheSacMeiATYJ1pERFQUp0xXeFfPnNr3CTJzWmMMTolKYeSWvdomfGFAz0CyvI6IiiT1DIRWWuYUsCf2JjN6oV+VmVMiouIVgtM1ynoBO4BlcFpbDE6JSjD3hrYoc+oL2R9n9pSIiqVnINxexPLBaTE9p4C96zQxL3PKgUhERMUrKTj1BFnWW2MMTolKsNIbmuIN2x9n3ykRFUGaul2F4fIini/rLT5z6spnTvP3Z3BKRFQ0JxNaXOY0CHBab00xOCUqwUrBaSFzmmbmlIjWJvUMAEC4vIglc3C7FHjcalGPdQYiCQ5EIiIqWcmZU5b11hSDU6ISyNxKZb35zGmGmVMiKkJuLjiNp/Sis6aAnTnN6RYModk3MHNKRFS0ueB09Wm9QH4gUjYJKWW1D4vyGJwSlSKbAoClq2S8TuaUwSkRrU0adnCK/CqZYvtNAbvnFABShh2cMnNKRFSCbBJQNEArYn2XJwhIC8ilanBgBDA4JSrJSgOR4PICqgsWy3qJqBjzMqexVA6hEjKnwXxwmshJQKj2FHEiIiqKvRIwACHEmvcV3mDhMVQbDE6JSiCzSUAIwO1bcLsQAsIbYlkvERVlfs9p6WW9dsY0mbaHInFaLxGVSxo5mGMv1fswakpmk0XtOAXmdqGy77R2GJwSlUBmU4DbDyGW/ugIX5gDkYioKE5wKjWPXdYbKKGs12vfN5nJr5PJPxcRUan04/uQuu9uWKmZeh9Kzchsckl71kqcvlQGp7XD4JSoBE4pyHLs4JSZUyIqQj6gzEoXDFOWljn1zc+cethzSkRlk8kpABIyNlHvQ6kZmU0ARUzqBeYFp9x1WjMMTolKIHOrBKfeEGSGmVMiWpuTOU0Y9vqYkgYiLcqcsqyXiMolU/ZFdSs5VecjqR2ZKaWsl5nTWmNwSlQCuxTEv+zHhC8EmY5x3DgRrckJTmM5+9dwKZlTr1uFqoi5XacciEREZXJmZcjEJgpOc6mi1sgAANx+AIKZ0xpicEpUAplNrZg5VXxhwNTZ/0VEa9MzgFARz1gAUNK0XiEEAl6NZb1EtG5WenNlTqVpAHpmxXO5xYSiAB4/M6c1xOCUqBSr9Zw6u05Z2ktEa5B6BnB7EUvrAIBwoPjgFLB3nSacgUgs6yWiMjmzMjZL5nTFlYCrEN4gg9MaYnBKVCQp5aqZU+EL2/fjUCQiWoPUM/YamaRdkuvsLi1WwOuyM6caV8kQUfnkZsucFoLTIst68/flntPaYXBKVCwjC0hzxattc8EpM6dEtIacHZzGUjp8Hg0urbRfx0GfHZwKlwdgWS8RlUEauUIrkkxE63w0tTEXnBZX1gvkM6fsOa0ZBqdERSpcNVsjc2plmDklotVJPQO47B2n4RIm9ToCXg3JjA5wWi8RlcnJmopghz3Q0dTrfEQ1UE5w6mFZby0xOCUqUuFq20rTep2eU2ZOiWgN0shCuHyIp3SESuw3Beb1nLrsab1SWlU4SiJqZk5wqnbusP+dnK7j0dRG4VzOW0JZr5dlvbXE4JSoSGuVggjNDbi87DklorUVynpzCJXYbwrYmdNszoSl5ANbYxNkPIioopzzFSWyAwBgbYLSXqc8t7TMaQDQM/akX6o6BqdERZLZFIDV39CEN8RpvUS0JqmngfxApFIn9QJ25hQAcrD/ZGkvEZWqkDmNDNj/3gQTe+1EgwDcvqIf42RZ2XdaGwxOiYpVRJ+C8IWYOSWiNRV6TtN6STtOHQGvHZRmpWrfwKFIRFQiZ0aGU9a7GSb2ykwS8PghRPEhkDPZl32ntcHgdJOxZkaRfuT/wpw4We9D2XBkrojg1BuG5EAkIlqLnoUh3JAS5Q1E8mkAgIxl/ymNTEUPj4ian0zFAJfXzgx6Apsjc5pbeV/9SgqZUwanNcHgdJMxTj8H46UnkPr3jyHz2FfY4F0CmU0BQgFc3hXvo/jCHIhERKuSpgFYBjLSDkrXkznNmMycElF5ZCZWGOaoBNs3R+Y0W0Zwmr8/y3prg8HpJmOlY4CiwbXnFujHHkHy3g9CP74PUsp6H1rDk9kkhNsPIcSK97HLeuP8fhLRyvJ7BZ2sZ3mZU/sxKcP+NS6NXIUOjog2C5mOQ/hbAAAi0L45MqcZZk4bHYPTTUZmYhC+MLzX/xb8v3YXRLATmR9/Aenv/S+YM8P1PryGJrPJFXecOoQ3DEgTyKVqdFREtNFIPQ0ASOWznuWskgnmM6eJfHDKzCkRlUqmZ6EUMqcdzJyugAORaovB6SYj07HCVTK1cwf8b/owPK/8HZiTp5H61p8j+9S3OPVxBfYb2vI7Th3C5+w6Zd8pES1P5gPJpOlkTksPTn0eFYoQSOp2JQfft4moVDJtJywAO3OKbLLw/tSsZDZRenCqeQDVxcxpjTA43WRkeq6/AACEosB9yU0I/OYnoO28Frn9DyD5zQ/BOL2/fgfZoGQ2teYbmvMmb3GdDBGtJF/Wm9AVCADBMvacCiHg92qI55yy3uY+oSSiypKWBZmJF85blGA7AMBKNu+uUyktoIhzueUIb9Ce9EtVx+B0k5l/lWw+xReG79X/Db7bPwihuZF++NNIP/w3sOKTdTjKxlTMhDcn8GfmlIhWIvPBaSynIuBzQVFW7mNfTcDnQiyXf2yTZzuIqLJkNgFIOZc5DXbYtzdz32kuDUAWVsOUQniCAMt6a4LB6SYipYRMx6AsE5w6tN6L4H/zx+D+pd+Acf4Ikt+8E9n937OnS252JWROGZwS0Upkzu45jWWBcBn9po6gV0Msv0GGmVMiKoWzWUD47FYvJWBnTps5OHU2VAhvmZlTbrioCQanm0kuBVjmspnT+YSiwXPF6xH4jY9D27oXuae+idR3PgJj+PkaHWjjkVIWpvWuppA5ZVkvEa0kH0jOZERZk3odAZ8LsxkJCMHMKRGVRKZnAczNyhCBNgCiqYciFYLTcsp6PQH2nNYIg9NNxMnmrRWcOpRgB3y3vge+170f0sgh/cAnkP7xF2ClZqt5mI1JzwDSWjtzqmqA28/MKRGtSObsdGc0IxAsYxiSI+DVkMwYgOZh5pSISrL4nFCoGoQvvCkyp2ttXliOnTllcFoLWr0PgGrHKjE4dWjbr0Bgy8XIPfcAcgcehHF6P3y3/AG0/suqcZgNae4NbfXMKWB/f51yGSKixZye06mUxMB6MqdeF5IZAyLoKWRjiYiK4QSnSr6sFwBEsL25M6f5zGd5mVN7IJKUctV997R+zJxuIqVmTucTmgeel78Z/rf8BYTLi9zhH1T68BpaKaUgii/Msl4iWpmeAYSC2Ywsa42MI+BzIZ01AJcHUs9V8ACJqNnJdAwQyoKL7kqgvbkzp/kd9OVN6w3Ye+zze6qpehicbiLrCU4damsf1MgAZLx5R40vp5Q3NOENsayXiFYk9Qyk5gUgEFrPQKT8ChpLdTNzSkQlkRl7e4MQc6GACLbDSkQhpazjkVXPejOn85+DqofB6SZSCE7n7Tkthwh1wkpMNu2b13JKyZwKH4NTIlqZHZx6AAChMnacOgJeuzPHUtzsOSWiklipWGEYkkMJttsXuvIX5JuNzCYBzQOhlrFb2svgtFYYnG4iMh2D8AQhFHVdz6MEOwAjt6lKV0sLTsOQ2QSkZVX7sIhoI9IzMBQ7Y7qeVTKBfGBrCFehj5WIqBgyE4PwLqykEwF716nVpKW9Mrv2vvqVFDKnHIpUdQxONxGZjkH4yy/pdYiQs6h5E5X2ZvNlvWuskgHymWkp+QZGRMuSegaGsIPS0DoHIgGAARfAnlMiKoFMx5e0eSnB/K7TZJOe360nOGXmtGYYnG4iMr30Klk5lGAnAMCKT677uTYKmU3agwNc3jXv67zZc2IvES1H6hnkYAeW68uc2mW9OWgs6yWiksj07JLgVATs4JSZ02U4wamzvYGqhsHpJmLlm9/XSwnZwalMbK7gVHgCRY0PLwSnGfadEtEy9AyycEFVBPye8je6OZnTnNQ4EImIiib1LGDklgan/lZAKE07sXddZb3uAADBzGkNMDjdRGS6MsEp3H7A5YW1iSb2ymyyqB2nwNzAKWZOiWg5Us8gY2kI+l3r2pfn92gQALJStU82iYiKINOzAOzVd/MJRYHwtzbtrlOZTdorYcogFHvtDoPT6mNwuklIIwfk0hUJToUQUIKdm6rnVOZSRV9tmyvrZeaUiJaRyyBlauvacQoAiiLg92pIm5o9pG4TTVAnovKttlpQCXY0ZeZU5meBOIONyiE8QZb11gCD003Cmaxbkcwp7KFI1iYs6y2G/cYnWNZLRMuSRgZJQ0V4HcOQHAGvC2lTBSABk0ORiGhtTmWX8LUs+ZgItjdn5tTMAaZRdBXccoQ3wGGXNcDgdJOYeyOqTHCqBDs32UCkVL7fYG1CUSC8QZb1EtES0jIA00BCVxBaxzAkR8DnQsq0f5WztJeIimHly3oX7zkF7KFIMjnVdJUYMuOsBFxn5pRlvVXH4HSTWKm/oFxKqAPIpSGbdFHzEtkkRAlX24QvxLJeIloqZ+8jndUVhHyVCE41JPR83yqHIhFREQplvd6lwakSbAdMo+l22ctc8fvqVyI8zJzWAoPTTWK1/oJyiMI6mebvO5XSgsyVNuFNeMNN98ZOROsndTs4TekqwoH1l/UGvS4kck7mlGW9RLQ2mYkDbh+EtvQCmXB2nTZZ3+lc5nQdwamXmdNaWFdw+sgjj+COO+7AL//yL+Mv//IvAQD79u3D7bffjltvvRX33HNPRQ6S1s+qcHC6qdbJ6BlASmZOiWjdnNLbDFwIrXMgEmD3nMbzwSkzp0RUDJlauuPUoQQ6AABWsrmSD84go/UGp9AzkKZRqcOiZZQdnJ49exZ33XUXPv/5z+P+++/H0aNH8eijj+LOO+/E5z//eTz44IM4fPgwHn300UoeL5VJpmOA5oZweSvyfCKYf/PaBH2nhTe0IntOATtzajFzSkSL6WkAQFa61j2tF7DLeuM5u6xXMjgloiLITByKd/ngtGkzp/ly3PWV9QYXPBdVR9nB6Q9+8AO8/vWvR09PD1wuF+655x74fD5s374d/f390DQNt99+Ox566KFKHi+VqWI7TvOELwyoLlibYJ2MzOb7akvYjSV8YSCbtIefEBHlOWW9WakhVKFpvVmp2f/gQCQiKoJMr5w5Fd4QoGqwmiw4RaUyp5grEabq0Mp94OnTp+FyufAHf/AHGBkZwatf/Wrs2rULkUikcJ+uri6MjY2V9LwdHeVP0aqVSGRpA3mjGzFTUENtUD0u/OTZc7j9VYNwaetrOc62RuDOzW7I70cp0kmJFIC2rgh8RX6tsUgEkwDa/YAWqv73p9n/D2hj4utyqWRUIA07c7qjvw2RjvJPlACgpytUCE5DfgVBfs/XxNclNZpavyaT2QR87R0rft5MuBNuI9ZUPytTqo6soiLSF4EQoqznSCUiGAXQ4jOLPh/cyOr1/192cGqaJp555hl85Stfgd/vx7vf/W54vd4F/+FSypJfANFoApbVuOOrI5EQJiY2XrlmNjYFEejAA4++hG/+5AQOvDiOP3jTHmhq+QGq5WtHOjq6Ib8fpdDHJgAAs2mBRJFfq27YGZHJ88NQO8r+MSvKRn1NUnPj63J5enQGAJCRLuiZHCYmrHU9n6UbyOV/lc9Gp5Hm93xVfF1So6n1a1JaJqxUHFn4Vvy80tuKdHSsqX5WMtPTEJ4AJifLL8k1MyoAYHp0Aglf83xvllPN16WiiFWTkWVHJp2dnbjuuuvQ3t4Or9eL17zmNdi3bx8mJiYK95mYmEBXV1e5n4IqSKZiUHxhjERTUBWBX7w4gX984Oi6LgQowQ7IzdRzWtJAJLtchkORiGg+me85tVQ3PC513c8X8LmQc8p6DU7rJaLV2ZsE5KqtXiLY3oQ9p6VtXVhOoayXPadVVXZwetNNN+Gxxx5DLBaDaZr42c9+httuuw0nT57E6dOnYZomHnjgAdxwww2VPF4qg5QWZCYO4QtjZCqJXVtb8Os3XYCnjo3jSw8eg1XmomUR7IDMxJt+CIfTc7r4Te2Jo6P40veOLfsYhcEpES3D6Tl1+/xll5bNF5wXnEr2nBLRGmTazoatFpwqgXbI1Ayktb7KjkYis0lgvcGpMxCJ62Sqqux6w8svvxy///u/j7e//e3QdR3XX3893va2t2FwcBDvec97kM1mceONN+K2226r5PFSObIpQFqAL4TRaAq/dHE3fvma7dANC//xs5NwaQre8bqLSj5RctbJWIko1Na+ahx5Y8glAaECmmfBzU8dHcf+lybxm7fsRMC7cLCJs9iau06JaIFcBhYEfD5fRZ4u4NWgQ4WE4CoZIlqTTM8CWD04FcF2QFqQqZnC9N6NTmaSEIHW9T2J5gZUrTBciapjXc1wb3nLW/CWt7xlwW3XXXcd7r///nUdFFWWlX8jyioBJDM59HTY5am3v2IHdMPC935+Gi5Vwdtes6ukAFU4u07jk0ATB6d2KcjSLMdw1H5zOjUSx56BRW/eHj8g1MIVSiIiwF73koML4aBn7TsXwe/VAAiYiouZUyJak1PRpcwLThfPiFGcdTLJKaBZgtNsAkr7lnU9hxACwhNk5rTK1jeulTYE540omrN36vXmg1MhBO64YRC3vrwfP3z2HL75kxOQJZT4KoVdp829TkZmU0tKenXDxMSM3Tt2cmRp6a4QCoQvxLJeIlpA5jLISldF1sgAgKoo8Hk0GMLV1JlTaVmQllnvwyDa8BaX9e4/Pon3/s3PkMzohfsUdtk3Ud/pcudy5RDeIHtOq6y6Y0SpITgB0lja/u/ubZ/74RRC4Ddv3gndtPDQk2fg1hT86qsGi3pe4W+zs4NNvut0uT6Fsak0nDh+ueAUsEt7WdZLRPNJPY20pSHkd1fsOQNeDQa0pu7/z/zkC4Chw3fre+p9KEQbmkzPAooKuO1ExQtnp5HMGDhxPobLLrCDUiXgZE6b4/xOWgagpws9o+shPAFmTquMwekm4ASnwwkFbpeCtvDCcjIhBP7Lay+Ebli4//FT0FQFb3zFjjWfVygKRLAdVqK5J/bKXKrQQ+pwSnq3RAIrB6e+MCxmToloHiubRlZqCFcyOPW5kDNdQBOX9VoTp2Bl4mWtqCOiOVbaHpDp/ByNRO2hjydH5oJTuP2Ay9s0mdOVBluWQ3iCsGZH1v08tDKW9W4CMh0DhMCZaYmedj+UZX6xK0LgnbftxrV7uvGdnw7h4afOFPXcSrADVpOvk5GZxJI1MsOTSQgA1+3pwUwih+n40pNClvUS0WJGtrJlvQAQ9GrIWipkk66SkVLCSk4B2SRkaqbeh0O0oclMbMEwpJH8xfb5F9qFEPbE3iYJTlHGSsCVCC97TquNwekmINMxCG8Iw1Np9HasfNVIUQR+7w0X4+qLIvjGIy/hR8+eW/O5Raij+ct6cykI98Lv20g0hUirDxf2twJYoe+UZb1EtIiVSyMjXQgHKps5zcgmLuvNJgs7XK2ps3U+GKKNTabngtOcbmJyJgMBYGg4tmDuiAi22xeFmsDcvvoKlPV6g5CZZEkzWqg0DE43AZmOAd4worMZ9LavftVIVRS861f24IqdnfjqD17ETw8Mr3p/JdgJmZyBNI1KHnLDkNICsqklV9tGokn0dvixrSsIVRHLB6e+MKBnmjabQURl0CufOQ14XUibatOW9c4/QTaja180JaKV2QkLOzgdm05DAti9vQ2JtI6J2Uzhfs2UOS0Ep97KlPVCmoCeWfvOVBYGp5uAlY4hpwUggcIamdVoqoJ3/+qluHSwHf/8/efx8yOjK97X3nUq7XHjzSiXBiAX9ClYlsToVBq9nQG4XSq2dAZwaqXgFNx1SkTzGJmq9JymDLVpM6fzT5CZOSUqn5QSMj1bOD9xSnpfcWkPAODk8LzS3mA7ZDrWFMmHucxpZab1AmBpbxUxON0EZDqGFOyF76uV9c7n0hT84a/txUXbWvGPDxzF08+PL3u/wrjxJu07Xa6JfmI2DcO0Cit5BvrCODkSX1Li4QxR4q5TInIoZq4qPac5qTXtnlMnc6p0bIc1xcwpUdn0DGAahR2nI9EUBICrLozArSkYmhec2hN7JWRyuj7HWkEVLevNPwfXyVQPg9NNQGbiiJkeCADdbb6iH+d2qXjfWy7Hzi0t+ML9R/Dc8Ykl97Ezp2javlOZs9/Q5q+SGZ60b+vrtG8b6A0jlTUwPp1e8FjnzZ9DkYgIAKRlQpUGTNUNl6ZW7HkDPhdy0CCbtMxMJqYARYW2dQ+smWF7LQQRlcw5H5mfOe1o8cLn0bCtJ7RwKFLQXifTDH2nhSyne/0DkcDMadUxOG1y0sgCegbRnBsdLV64XaWdEHncKt7/65djW3cIf/cfh3FoaGEQKgLtAMSmypw6Y9edfbE7euwM6eK+07myXganRIS5HiXNW9GnDXhdyEoNMHJNOaTDSkQhAm1QOvoBy4Q1s3KrCRGtzFoSnKYKF9oHe8M4PRaHYVr2ffLBaTMkH2Q2Cbh9EMr6wx6nb5WZ0+phcNrknKtkY2mt6JLexXweDX/8m5ejrzOAz37nEI6dmruKJlQNItDatLtOnTef+QORRiaTaA264ffaa4K3RAJwawpOjiws32VZLxHN52Q2VU+Fg1OfXdYrIAFTr+hzNwKZnIISaIfS3g+AfadE5ZqfObXnZ6TQkx+UOdgXhm5YOD9hV4cpgXzbVhMMRZLZZEVKeoF5Zb3MnFYNg9Mm57wRnY8rhR7JcgS8LvzJb16BrjYf/ubbB/HS+dnCx0SwAzK+8a+sLaeQOZ23SmY4mloQ6KuKsqQcBgDg8gKqVrhSSUSb21xwWoHSsnkCXhdy0r5Y1oxDkazEFESwHUprD6CosKIMTonKMT84jcYy0A1rQYsSAAzlz2WEywN4Ak0x8NIOTtc/DAmYq6Rz+lip8hicNjnnjWha9xQ1qXc1Ib8bf/rWKxHwuvDdx08VbleCnbCaoOxjOYsnvEkpMRJNFt7MHQM9YZwZi8O0rMJtQggIb5hlvURkywenLm+Fg1PfXHDabOtkpLQKmVOhaFBa+2ByKBJRWQrBqTdUmNTrZE47W7wI+V0LJvYqgfamOL+raHCqqIDbX7XM6VQsUyit3qwYnDY5J2sXl941d5wWoyXgxiXb23BmbK5UVQl1QiamIK3a/TDpQ09Bf+Fn1f9E2SSgaIBmr32YjmeRyZnoWxToD/SGkJtXDuMQvjDLeokIAGDl7KFpLl+lM6casmjOzKlMxwDLLPS/Ke1bObGXqEwyHQM8AQhVK8zPcC62CyEw0BteMhSJmdOlhCdQlZ7TZEbHnf/wBH7wzOauDmFw2uScq2QJy1t2z+li27pDmE3mMJuwT4JEsAOQJmSqduPGc/u/h+z+71X988hsCsLjhxACwLxhSIu+lwN9djnM0qFIIe45JSIAQCZpX7zy+isbnGqqAqnm96Y2W+Y03++m5NeWKe39kMkpltQRlUGmZ+etkUki5Hch6JtbazXYG8bwZBLprD0R286cbvzgFNlkYT9pJQhvsCqZ0yMnp5DTLbxwZqbiz72RMDhtcjIdgy7ccHu9Fdurt63b/gE/PWb/YCohp2m+NqUfUlqwpkcgE9GqT6aUuYVX24bzZTC9i8p6u1p9CHi1ZYYihblKhogAAOl8cOoLVu4KvkN120OWmi1z6qyxsCfDA2rHVgBgae8Gl33uu8gd/kG9D2PTkZn4gkm9iyvqBvvCkABOjdrnMiLYAWSTG/p9RUppZ04rsUYmT3iDVblAdvCEfR59ciTWlJPXi8XgtMnJdBwp+NDTMZf9W6/+LnsK7dnx/JuXs+u0RutkZHwSMHOAqVd9lLfMphbsOB2ZTCLg1RBeFOgLIbCjJ4RTy2VO05v7TYaIbNmUfTLjD4Yq/txOcIoNfBK5HGeNxfzMKQAORdrg9OcfhX7kR/U+jE1HpmMLg9NFF9p39C6sAlMK62Q2cPZUzwDSKqyAqQThqXzm1JISh4aicGsK4ikd0dnm3FtdDAanTU6mZzFrego7OSvB79UQafXOZU7zJw212nVqTQ8X/l7t/Vsym1hwtW04/2a+XKA/0BfGuYkkcrpZuE14w/ZqhyY7YSSi0ulpuy0gEKp8cKrl19NIPVfx564nKzEFqO7CRULhbwU8AfadbmDSsiAT07BmRyHzfdhUG1Y6BuENI57KIZHWl2ROgz4Xutp8GMoPRXIqFjZyae/cSsDGLus9PRpHPKXj1VduATA3NXkzYnDa5MxUDDOGZ11rZJazrTtUGIokNA+EN1SzRc3m9PnC36v9hmn3nM7LnEaTS4YhOQZ6wrCkxJmxuTcsxefsOt28bzJEZNMzKVhSIByq7PsxMG/IUpNdCJNJe42Mc0FQCAG1vR8md51uWDI1DUj7Iq45eaq+B7OJSNOwey994bn5GZ1LExeD84YiFTKnG3goUqH8tqIDkYKAnoa0jIo956ETUQgAt12zDS5NKVwg2IwYnDY5KzWLuOVd9xqZxbZ1BTE+nS40zYtQ7dbJWNPDgOYBUIvMaRIiv5MwnsohntJXHCy1uBwGQKF8hsEpERmZDLJSQzDgrvhze7w+AIBssoFIVmKqcILscCb2Srm51y1sVPOrrKyJk3U8ks3FGc4ofOG5+RnLbHEY6AtjOp7FdDwLEWgDsMEzp5mFKwErwSkRdp67Eg4ORTHYF0Zr0IPt3aElAzY3EwanTUxaFkQuibj0VWxSr2Nbt9N3OlfaW6ueU2v6PNTunYCqVTUgltICculCKcjiseuLtYU8aA26cXJ0XnDqzWdOObGXaNOTeho54YKqVP5Xryc/AVjqzdWnJJNThdJCh9LRDxjZmv3OocoqXFRWNJgMTmumsOPUF8ZoNAW3pqC9xbvkfoP5C+1DwzEI1WWvxEtu3F2ni/fVV4JzXlipuSexVA4nh2PYO2i3yQ30hnF6NL5p950yOG1iMpuAgERKetG5zBvQejjBaaG0N585rfr0XGnBmhmG0rYFItBR3Sb9XBqALGROC1caV8lCD/SGFyywdjKnFjOnRJue1DPQReWzpgDg8/lgSUDPNk9wKi0TMjVTmGvgUPNDkVjauzE5mVN16x6YE6fqezCbyPzgdDiaRE+7H8oy8zO2dQehKqKQuRPBjo2dOS30nFYyc5oPTivUd3pkaAoSwN4L8sFpXwg5w8Lw5OZcmcXgtInJ9CwAQPhboKmV/a9uDboR8rtwZl7mFKZe9fJVGY8CRg5Hpr2Y1H2FNQNV+VyLrraNTKbgdiloD68c6A/0hjE2nUYqo9uPLfScMnNKtNkJIwtTqU5wGvC5oEODnmmeATMyNQNICbG4rLdtCwABK8qhSBuRTEQhvCGoPRdBxieqsi+SlnLOz5R85nS5flMAcGkq+ruCc32ngfYN3nNqV71VJTitUOb04FAUYb8L23vsc8bBvhYAm3coEoPTJuYERL6Wtoo/txBiwVAkJZhfJ1PlHlBrxh6G9PgZ4FRMq+rnK7yhufPBaTSJ3vbAslcaHQNO3+no3LAoaB6W9RIRFDMLqXqq8twBnws5qcFoosyp07ahLCrrFS4PRLgLFjOnG5IVn4QIdULtGgAAlvbWiBOc5rQAorOZZftNHQN99lAky7IvDm34zKnqhtAqd2GwMPm3Aj2nliVxeCiKvYMdhfPLSIsXQZ9rQSXeZsLgtIkZyRkAQKitffU7lmlbdxDnJ5IwTKuw69RKVLcHyJyy18i8EPNjwvDDSs5UdFrafIUrYvmy3pFoEr2dqw+W2tFrX/U6tWgoEgciEZFm5SC1yrZYOII+F7JSg9lEqzmcto3FmVMAUNu3wuQ6mQ3JSkShBDugdm4HwOC0Vqx0DFBdGI9bkFh+Uq9jsDeMTM7EyFTKvjikZyBzqdodbCVlkxXdcQpUNnM6NBxDMmMUSnoBOwE00Btm5pSaT2La/sXe2hmpyvNv6wrBtCSGJ5NQQvYPVbUHVFjT52G4w0hLN6atAAQkZD4Ir7T5pSCZnIFoLIu+NQZLBbwudM/bEQbYpb0MTok2N9Oy4JI5CHd1gtOAV0NOarByzTOt18nWLM6cAvbEXhkbg2yy1TnNTkppl/WGOiHcfoiWHk7srRGZjtn9plP5NTKrZU6dKrDhWOHiUK02MlSavXWhssEpNA+gqBUpST84NAlFCOwZWPg+N9AbwvBEsrAVYzNhcNrEktNTMKVAV3fH2ncuw7Zu+8rRmbEEhNsPuH2w4tUu6x3GrNYJRQgkhZ2lrNYb5vye08JOsCKmHg/0hnFqdK6MV3jDkBkGp0SbWSKlwyMMKNUKTn0u5KDBaqJVMjIZBdw+CLdvyceUjn5ASnu1GG0YMh0DTL0w5EqNDHDXaY3ITKwwqVcIoLt96c+Vo6fDD59HxcmRWOHiUFUHUFZRNYJTIQSEJ1iRzOmhE1PYuSWMgNe14PbBvhZIzA0e3UwYnDaxXHwaCelFT0ewKs/f3eaHx6Uu6DutZlmvlBas6fMYNsLY2hVAoLPLvr1KjfoyNz84tf/et0ZZL2AHp86OMABQfCEORCLa5GIpHR6hQ/OsfEK4Hk7mFE2USZSJKSiB5S+uqu1bAQBWlH2nG4nMnyMo+VYgNbIDMjkNKzVTx6PaHGQqnzmNphBp8cGlqSveVxECO3rC9jqZQuaUwel8whtc957TmUQWp8fiC0p6HQP5NrGhTdh3yuC0iVnpGFLww+/VqvL8iiKwtSswF5yGOu1pulUiE/ak3hfjfgz2taCzrw8AYMxWKSDOpgBVg9DcGImmoCoCkda1Tyydchin79TuOY1Xfc0OETWueCINtzChede+wFUOl6ZCFy6IJgpOreTUsv2mACBCXYDmZt/pBuNUV4n8EEUlMmjfztLeqpOZGIQ3jNFoctWVeI7BvjDOTSSgu0KAEBt2Ym9Vg9N1Zk4PDdk/D85+0/lCfjcird5N2XfK4LSJKdk4dFflfyDn29YdwpnxBCwp87uwJqsWhFnT9qTes9kwBnvD2L4lgqTlRmxytCqfT2aThUm9w5NJdLf7i1rJ098dhCIETo7mg1NvGJAmsFGHCRDRuiUS9kmMx1+992RLcUOYetWev9ZkYgrKSsGpokBp28qJvRvMXOY0X9bbsQ0QgvtOq0xKme85DWF0Kl1Ui9JgbximJXF2Mg3hb9u4mdNMEqhGcOoJrrvn9NCJKFqDbvR3LV/hONjXUljps5kwOG1SUkp4zBTgDVf182zvDiGTMzE5k7Z/2eiZqgVhTm/RqNmCC7aEMdgXxrQVQHa6OpnT+VfbhqOpoq40AoDHpWJLJICTI/l1Mtx1SrTppeN2+ZfHX53MKQBI1Q3VylXt+WtJGjnITBximWFIDrV9K6ypc6xK2UCsuNNHbP8cCJcHSusWTuyttlwKsEwk4YNhWkWdzwz02eePTmnvRsycSiMHmLm51S+riCVz+NA/PIEXz84U9dzCG1hXcGqYFo6cmsJlF3RArLCicKA3jKlYFjOJ5qmIKQaD0yYVS+YQEGlogZaqfh7nas+ZsUShTMeq0sRec/o80moQcAfQ3e5HW8iDpBICUlXqOc0mAY8fhmlhYrq4K42Ogd4wTo3EIKWE8Nlv8BaHIhFtWulk9TOn0NxQZXNkTp0TYWdwznKUjn7ITBwyPVurw6J1shKThX5ThxIZgDVxkhcZqsjZGDCt23uWV1sj42gNetAW8hSGIm3EzOncYMu1g/EDL01iJJrC9584XdRzOwORyn3dnjg/i3TWxN7BzhXvMzhvavJmwuC0SY2NT8EtTPhaWqv6ebZGAlCEwJnxeOEXTrWGIlnTwxizWjHYFy4sKpb+Nnj16vzQymwKwhPA2FQKlpToKzJzCtiN7MmMgfGZNITXyZxurjcXIpqTTdkVJdWa1gsA0LxwQW+Kk3xrlR2nDsUZisS+0w1DxqNQggtPxtXIDvsiwwbMzG0UVv78YzxjzyApthJssC9cWCcjk1Mb7r1lLjhdO3N6MN//efBEFJMza++LFt4gYJl2xWAZDp6IQlUELtnRtuJ9tnUHoSpi0/WdMjhtUpNjEwCAUNvKV2QqwaWp6Ov05zOnzq7Tyg9Fsif1DuN0OlS4kgQAntYIfCKLeKzyJbMyl4Rw+zGcXyPTV8SVRkdhR9hIrJA5ZVkv0ealZ/LtDq7qTOsFAMXtgQIJWBt/L14hc7pKWe9ccMq+041ASgkrMVk4V3CokQEAgDk+VI/D2hSci+MjCRXhgHvJ2pKVDPaGMT6Thu5uAUwdMrOxzmPmrwRcjWFaOHpqCpcOtAMC+Mn+tVdUOQFvuUORDg5FcWF/K3yelYeWul0qtkaCm67vlMFpk4pF7QAx0L7yL/ZK6e8K4fRY3M4Qqu6q7B2ViSnAyGLEbMFg31xwGo70AADOnzpT+c+ZTUJ4gxiZTEIA6FllYfVifZ0BuDUFp0bic5lTlvUSbVpOcCpcnqp9DjWflZW58q7kN5JC5jSwclZB8YYg/K0wo8ycbgi5FKBnCsOQHEpHP6CosLjvtGqc4PRMDOgt4VzGudA+lrUvqm207HYhOPWuHpw6JbY3XN6HK3Z24mcHh6Eb1upP7s0Hp2Wsk5mKZXB+IrnslN7FBvrCODkSg7XBstbrweC0SSVn7ABR9Ve35xQAtncHMZvIIZbS8+tkKl/W60zqHTVbFwSnXVu2AAAmhyu7iF1aFpBL5zOnSXS0eOF2rbwTbDFNVbCtO4ShkRiEqgFuP8t6iTYxM2OXiQlX9cp6tXxwmkuvXZLW6GRiCsIbgtDcq95PaefE3o3CmUchFpX1CtUFpX0rhyJVkX3+IXBqShbVb+rY3hOCAHAmYWdaN1zfaZGZ00NDU/kS23bcfNVWxFM6nn1hfNXHCG/5mVOnhHi5/aaLDfSGkM6aGJvaPBsfGJw2qVzCHhAhqjytF7DXyQDA2bE4RKijKj2nTnBqBnsQ8s+drHjbuwAA8cmxyn7C/MRh4QlgJJoqqaTXsaM3hDOjcZiWBeELsayXaBOznL6kKganLq+d3Ugl17cYvhHYO07XPnFT2vthTQ9DWmYNjorWwyqskVnabqRGBmByKFLVyHQM0hNAPGOVlDn1eTT0RQJ4MZqf87HBglMncFyr5/TQUBQXbGmB36vh4h1t6G7z4ZHnzq/6mEJZbxkTew+diKIj7C1qlslgn51kGtpEQ5EYnDahrG5CySxcY1JN/d32D+jpsTiUYEdVek7N6WHEpB99WyILbhf+VkgI6LOV3a8q88GpdPvt4LSESb2Owd4wcoaF4ckUFG94w/VqEFFl6IYJxbRXAYgq9py6vHbgm05u/CvsMhFdccfpfGpHP2AZsGars++aKsc5N1juooMSGQByacjY6tkqKo9Mx2C47HO13s7S1lkN9IZxbMwAFG3jlfVmkoBQVr0oOB3P4ux4AnsH7fcbRQi8+soteOncLM6Orxx4OtnYUjOnumHh6KnpVVfIzNfb7ofXrW6qoUgMToskpUTqgb/GyFc/iswT34B+4klYs6OQco2a9DoYm0ohqKRhaj4Itbim9/UIeF3obPHi7Li9TkZmE5BlTi9bSW7yLEaM8IJhSAAgFBW6Kwy/FcfEbOU+p3MlLG5oRe8EW2zxUCSW9RJtTvGUDq/QISGANcpU18Pjs9+nMumNH5xaialVd5w6OLF347ASUUB1F+YwzKd27gAAlvZWiUzHkBb2+0Nve2kX2wd7w4inDVi+1g1X1itz9taF1YLAw/kS28sumMvoX7+3Fy5NwY9XyZ46fayl9py+eG4GWd0sqqQXABRFYEdPaFOtk1l5RBQtIqF274Q5chT6mR9Ad6YhunxQO7dD6dwONbIDSud2KC09EKJ+cf/oVApBkQGW+QVQLdu6Qzg9loCyx9l1GoXavqUizy2lBGZGMGoO4pK+pT20ItiOtlQSJ4dj6GqtTFbCyZxOpu0+01J6NBxdbT74PRpOjsTwS/4Q5NjxihwbEW0ssVQOHmFAqu6irpSXy+O3Tz5zGzw4lbk0oKeLypwqrb2AUGFFzwIXXFODo6Nyybi943S5nwGlfQugumBOnIRr57V1OLrmZmViiFvt8LhUtIVLG8rmzPlIq2G4NlzmNAGs2W8aRVvIg62RufsFfS5cc3E3fn54FL/+6guWnagrFA1w+UrOnB46EYWmKrh428rD3hYb7GvBw0+dgW6YcGnFzz/ZqBicFkkIBZ6XvxmRyDsxPjoNa/o8zMlTsCZPw5w4Bf3oj6CbTsDqhdqxzQ5YO3dA6dwBpbUXQqlNwDoSTWGbkoEWqP4wJMe2riCee3ECurcPACATk0ClgtNEFIqVw7hsw23dS/sGvK0RtEeP4YnhGK65pLsynzPfRD+avyBWyo5ThxACO3pDdub00pC9x82yavY6IKLGEE/p8ECH1Kq44xSA1wlOMxt7INLcpN61g1OhuqC09sDkUKSGZyUmIULLZ4uEokHp2AaLmdOqkOkYptCLnnZ/YU98sZztA9OWH8HESJWOsDpkNrnqMCTTsnDk1DSuviiy5KLJTVdtwWOHRrDv8ChuednWZR8vvMGSe04Pnohi97ZWeNzFB5kDvWGYlsSZsQQu2FK7c/t6YXBaBqFqUDu3Q+3cXrhNWgas6RFYk6dgTp6COXka+rFHoZs/sO+guaF0bIO2/Sp4rnh9VY9vJJrEXi1bk0m9jm3dIUgAoxkfIkBF18lY0/lJvC290NSlgZ0S6kCrksLJ4dmKfU4nOD0/K9ESdMNf5E6wxQZ6w3joyTOw3CFASshsorD3lIg2h1gyB4/QIdzVDU79wQB0AHpmY6+SkcmVexOXo7T3w2RlSsOT8Whhp+ly1MgA9Bd+xou4FSaNHJBLY8LU0Lu19AvtmqpgW08IoxkPtprTG+r/R2aTq55znTgfQzprLLvSZaA3jB09IfzkufO4+aoty2b8hTdYUuZ0fCaN0akUbrqqtOSNk70eGokxOKXiCUWD2tEPtaMfroteBQCQlglrZnQuYD13GLmn7oX70lsgtOrtuhuNphBSMjUNgrblM5onZwQiilrRdTJ6vpco3Ltj2Y8rwQ5oMBGdmIBhWssGsKWSWbss7sy0VdYwJIdztWsy50IrYE/sZXBKtKnEUzrahAGlysGp2+uDDsDMbuzg1Mmczi/rNUwLUgIubZkLlB1bYZx4wu4vc5d+8k3VJ/WMfXE2uHRSr0ONDEA/8kNYsyNQ2ypTeUUoDGMcz2glTeqdb7A3jNOHXbjaZ0GmZ1fdP9xIZDZpl/6v4NBQtLBCZjk3XbUFX37webx4dgYXLVOGKzyBkjKnh044/a3FXXhztIU8aA26cXKTDEXaGJc+NiihqFDbt8B14fXwvuK/wH3VmwAAVhWn0VlSYnwqAa+sbXDaFvIg6HPhzHgSIthR2GdWCcmRM5i1fOjvX75kV+RPYIJWHOcnKrNCQWaTgOrCualsWcOQHM5QpOGE/aMmM5vjjaVU6ayBdNao92EQVUUslYNHMaC6qzepFwCEy77oaeQ2dnAqk1OAEBD+1sJtn/3OIdxz7/5l76/mhyKZDT4USUqJ7C/uhzWz+SYLW/lJvcutkXEokR32fVnaW1HOMMa45UNvmRfbB/vCiBr2uZCsYGVctclsYtWy3oMn5lbILOeXLu5GwKutOBip1LLeQ0NRdLX50N1W+nnlYF/LphmKxOC0hpSWHgCANVvhnZzzTMUycJv5HZ01DE6FENjWHcSZ8QSUYEdFy3r1qXMYNVsKZQ2LKfnSrzYliaFKlfbmkpBuP9JZs+w3c2DuatfpaXvNDXedLu9vvnUQn//3Q/U+DKKqiKdy8KtGVXecAihMArY2eHBqJaIQ/jYIxe7JmpxN4+CJKJ4/M4PTo0vfQ5X2fvtxDR6cWtHTyD3zHeSO/KDeh1Jz0tlxukqpttLSC7i8nNhbYXPBqbfsi+0DvWFMW/a5kLVBhiJJywJy6RWD08UrZJbjcam4fm8vnn1hArOJ7JKPC0/xZb053cSx09O4bJkS4mIM9IYwNp1GIq2X9fiNhMFpDSktXQAAa7Z6mVOnpBeobXAK2H2n5ycSQKCjYlfWpJTwpMYwJdrR2bL8iZ3zy67Hm6nYHiiZScJQ7M9XzjCk+QZ6w3hh0glON8dVr1LMJrJ48ewMjp2eQSrT/G+6tPnEUzp8Neg5FUKBDg3Ql55EbSQyMVWoiAGAnx+xL+hq6vKrHUSgHXD77Im9Dcw4fQAAYA4/X+cjqT3ngrVYJXMqFAVq53aYE6dqdFSbg3PekYQP3WWW9Xa2eJFz272OcqOsk8lvXRDepYM0gbkVMsv1m8736iu3wLQkfnpw6TAo4Q3a+3ktc83Def7MDHTDKrmk1+GsUjy1CUp7GZzWkHD7IbwhyFj1SnpGovk1MqhDcNoVhGFKJNQWyNQMpLn+QEMmp+CSOmS4b+UVDJ4AoLqxPahjqEIlDzKXQgZ2iVxfGWtk5tvRG8apKROAKPR+0JwD+R4MS0ocOTVd56MhqrxYMge3MCCqPK0XAAzhAsyNHZxaySko+Um9UkrsOzyKC/tbcd2ebjxxdHTJRSwhBNT2/obPnBpn9gMArOnzsDbZhUoZnwQUFWKNQY1KZABW9AykxTaPSnFea96WtrJncggh0NfbiRy0DbPr1MlorpQ5PTQURWvQjf6u5YNXR0+7H3t2tOHR/edhWtaCjwlPMP+51m4pO3QiCrem4KJtrUUc/VI7esMQQMWSMI2MwWmNiZbuqpb1jkyl0OnJAQAUb+0zpwAwqdt9VZXInqbGTgMA/N39K95HCAEl2I4uTwaj0RRSmfX/UpPZJBKWG36PhnDAva7nGugNQUKB6fIzc7qMAy9Noi3kgd+j4eCJyvUqEzWKeCoHN3SgyplTALAUN4SZq/rnqRYp5YLM6dBIDGNTKbzi0h7cfNVW5HQLjx9aeoFXae+HOXXW3ovdgKzULKyJk1C3XQ4AMEc2V/bUik9CBDvW3AGvdu4ATB3W1PI9flQ6mY4hBw2d7eub8jrY14JpMwAjvjF6Tp2Acbng1Fkhc+lgR1G7p1995VZMxbI4+NLCr93Jyq7VdyqlxMGhSVy8va3sPaU+j4bezkDFkjCNjMFpjSlVDk5Ho0n0BuzyAuGvbXDa0+6HW1NwLmWfgFkVeAOLnrF7TyLbB1e9nwh2oAUJSACnRtf/gyuzScR0Db2d/qLeuFazo8f+f8goDE4X0w0TR05N4Ypdnbh0sB2Hh6ZgNejJJVE5pJRIpLLQpA5R7Z5TAJbqhlKBqpV6kdkEYOqFzOm+w6NwaQpevrsL23tCGOwL45Hnzi8JQpX2rYCeKfQ2Nhrz7EEAgOeqN9l9lZustNdKRFftN3U4q2bYd1o5VmoWcdOL3s51tij1hTFt+ZGdmajQkVWXzKwcnDorZIrt/7xiVwfaQp4lbQWF4HSNzOnoVAoTM5myS3odA70hnByJNexFuEqpSHD613/91/h//9//FwCwb98+3H777bj11ltxzz33VOLpG4IlJT7374fwhf84hDNj5ZdmKuFuu+S1Sj1BI9EUIl4DUDTAVd3JkIspisDWriBemrGvClkVOEnITpxFzPJi+/aVR4ED9soBj24PQ6rEqG2ZTSGaUdc1DMkR9LnQ1eZD3PSwrHeRY6enkdMtXLGzE3sHOzCbzOHsWGkLrStFH3oa2Wf+vS6fm5pXVjcLmcxaBKdSdUNDDjl97R6oRuT0s4lgO3TDwlNHx3DVhRH4PPY0zZuv2oKxqRSOnV7YAqB2NPZQJOP0fohAG5TIANSeCzddcCoT0VXXyDhEuAtw+2Gx77RicvEZxKUXve3rO58Z6A1jxgrY07Q3AJlbOTg9NBSFIlZeIbOYqii48Yo+HD45hbHpVOH2wnOvkTl1Vsis1d+6lsHeMOIpHdHZjT30bi3rDk5//vOf49//3T6hy2QyuPPOO/H5z38eDz74IA4fPoxHH3103QfZKEI+F76/7xQ++uWn8dEvP4UfPXuu5KlZSou9DqUa62RSGR2zyRzaXFkIX3jdGb9ybOsO4dikAISoyK5TNT6KaaWjcGKyEhHsANKz6Gv3rLvkQVomoKcxm9PWteN0voHeMKI5FzOni+x/KQqPS8Xuba24NP+mfXCoPiVD+uEfIPeL+2CynIwqKJbS4UH+90QNglNoHnhgIFmB9oZ6cIJTJdCOgycmkcwYeMWlPYWPv3x3F4I+F378i4U/p0p+L6bZgEORpKnDOH8E2rbLIYSA1rcb1swwrNRMvQ+tJqSpQ6ZmoITmTswN01q2SkYIATUyAHOSmdNKMVKz9qTedWZOgz4Xcu4WuI0EpNn47y9O5hTLBacnoti5deUVMsu54fI+qIrAT+ZlT+d6TtcIToei6O3wo7N1fUmjwT67NLvZ+07XFZzOzMzgnnvuwR/8wR8AAA4ePIjt27ejv78fmqbh9ttvx0MPPVSRA603RQi847bd+JePvg7/5bUXQkDgqz94EX/82cfwd/9xGIeGorCstdPsheB0tvJDkUam7Ks5QVHbHafzbesOIpm1IH2t614nY1kWwkYUucDy+03nc0rALokAQ8PrK3mQ+QlvKelG3zrfzB12cOqGyeC0QEqJAy9NYs9AO1yaipaAGzt6QoUrjDU9FsuEOXkKAKAffrjmn5+aVzyZg0fYJ3K1yJwqLg/cwkByg06+Lkx1DXZg3+FRtATcuGRHW+HjLk3Fqy7rxXPHJzEVm8seCLcPIhRpyMypOfICoGegbbsCAKD27rZv3yTZU2f+hLPjNKub+Mt/eQZ/9ZVnl50RoUYGYEXPQRobt3e6kYhM3A5O15k5BQBPSycEAJlq/OGFK/WcziSyOLPGCpnltAY9uPLCCB47OFKoTCmm5zSTM/DC2Zl1l/QCwJZIAJqqNH3fafGXDJbxkY98BH/0R3+EkRF7vPL4+DgikUjh411dXRgbK62/sqNj9alZjeCtt12Mt952MYbOz+KHT5/BT549h6efH0dnixc3Xd2P1/zSNvR1Lv91WOGdOAXAb86gNRKq6HEdzE86DSppeFraEanw8xfj8ou6gYdegO5tgy87s65jOH/qNLxCR8vWgTWfJ5XYilEAe/tU/PCFFITLhUhbeVeo9Kk4krCD0z27uhCpQPb0you78ePHvRC5FDrbfRDqun70lqjH//V6nTg3g+l4Fu94/ZbC8V+ztxff/OGL8AY8CPnXN4iqFNmxU0gYOaihdhjHf472294JNbC+4RG0MV+XlXZyPAmvsAPFls42BKr8PZkKBOAWBjSPa0N+/6MygayqwdPegYMnfoHbXzWInu6FP4t33HIhHnrqDJ4+Ponfuu3iwu1m7w7oU8Nrft21/r5MPncUGc2N7st/CYrLA9lxKU593w/X9BAikdfW9FjqIZUYQhJA29Z++CIh/O29+3FmLAFVEfi7+4/go//tWnjdc78TkxdcjLH9DyBsTcEb2VW/A6+har0mpbQwayRhuoPY3t+29gPW0L2tHzgMIDuLyODqs0DqbVLJQff40dXduuD2Ayft6owbr95W8vf9jpt24c6/exzPn4/hlpdvg5RBJBQVPjWH9hWe68nDIzBMiVdd1V+R/+edW1twbjJZk/exev0OKfsM+Zvf/CZ6e3tx3XXX4Tvf+Q4AO9M1v5RUSllyaWk0migqA1kvkUgIExN232DIreDXrt+BN16zDQdemsRjh0bwrUeO45s/Oo4L+1vxyr29uHp3ZMGbLmCveIkPn4E+Udn+wxdPTUFVBJCOQW/vLxxnLQU0AUUIRI0APFPD6zqGF35xCDsA+CJrfy2WYWc420UCgIJnDg/j6t1dZX1ec9xu9tcVL4RpVuT7GPaoSEg7azJ+bgSKv3Xdz+mY/5rcSH789BkIAANdwcLx7+wJwZLAo0+fwTWXrJ0xr5Tci4cBAO5XvAPphz+NkZ99F56Xvalmn78Zred1eW48gU9+Yz/+6Ncvx/aejRdgzXd2ZBaefHAaS0mkqvyzagkNbmHg/EgMPWFPVT9XNaTHRyH8bXjo8VMwLYkrL+hY8jpSYfduPbTvFG65oq+wHsMI9EA//izGR6IQ2vIXt2r9fimlRPL5p6H0XYzoTA5Afpp+9y4khg4CG/C9u1S5c3apdczw44c/OY7/fPI03nDddvR3BfH39x3B//cPP8d733xZ4f/R8thl3NHjh+F296z4vM2imq9JmUlAgYTwhivyOULtdgLqpaNDUDp3rvv5qik9Mw24fEu+7scPDKM16EZAEyV/T7rDbvR2+HHfoydwWb6iQ3gCSE5NwVzhuR577hw8bhVdIXdF/g/6I0E8uv88RsdmoSrVm2tbzdeloohVk5Flf1UPPvggHn/8cbzpTW/CZz7zGTzyyCP45je/iYmJuSleExMT6OoqL0DYSFyagqt3d+H9v345Pvnfr8ebbxzEbCKLLz14DH/02cfxpQeP4fi5mUKpqdLSU5We05FoEl2tXsh0HEqdynrdLhW9HX6M5XyQyemiFhOvJDF6BgDQveOCNe8rgvabRLuShKaKdQ1FckpBfKEwlAr17XpcKtyhVvv5WdoLANj/0iQG+8ILVvUM9IYR9LlwsMalvdb4CcATgLrtcqj9l0E/+iOWlNXRoweGEUvm8NBTZ+p9KOsWT+UKwWktyno1jw9ubNyyXpmcghJsx77DI9jWFVxxB+FNV27BbDKHX7w4d86hdPQD0oI1M1Krw12TNTMCGZ+All8h49D6dkPOjsJKNn555HrJRBQQAhM5L/754Rewc2sLfvVVA/ili7vxO7+8G4eHpvCF+48UdkiKQDuELwyTQ5HWzelr9oTXnzUFgL7tWwEA8cnKt6ZVmswmCz2hDtOycOTkVNErZBYTQuCmK7fg5EissBlCeIMrlvXaK2Si2LOjvewds4sN9IWQMyycn1h7t+pGVfZ36stf/jIeeOAB3HfffXjve9+Lm2++Gf/4j/+IkydP4vTp0zBNEw888ABuuOGGSh5vw2sLefCG63bgr951LT74W1fh5bu78PSxcXz8X3+BO//hSfz0wDBEuKsq62RGp1LY1q4BlgHhq1+2ob87iDMJDyAtyPX84p0dRkr4oPrX/lqE5oHwhiDS0+jvCq2rHt8JTsNtlXkzd7R02v0GVorB6XQ8i9OjcVy+c+H0RkURuHSgHYdPRmu6UsYcPwk1MgAhBNyX3QaZjsE48WTNPj/NMS0LTx8bgyIEnnl+HNPx6kw2r5VYUkfQlT/prkFw6vJ64dngPacZLYyTI/EFg5AW2zvYgc4W74LBSGq7M7G3cYYimWcOAMCS4FTts8uRN8O+Uys+Cfjb8Hf3H4OmCPzBr+wpZHxuuLwPb715J555YQL//P0XYOUr7pTOHZzYWwHxabuENdhWWn/lSty+ADLwIDfbmCub5pPZJIR3YVtWqStklvOKS3vhdimF9x7hCa44EOn8ZBJTsWxF+k0dg7128qmZhyJVNB/s8XjwiU98Au95z3vw+te/HoODg7jtttsq+Sk2DCEEdm1txe++/mLc857r8buvvxhet4p/+v7zSLvb8+tkKjcK2jAtjE+nsa3FPqEXvvr1y23rCuFcyi4nK3cokm6YCOUmkPYWn3kXwXZYiSkM9oZxajRednm4nrLfZNraKxucdnbbX0tsamMssK6mAyfsX2xX5INTM3oGZv6Ecu8FHYindJwerU25m9SzsKbPQe2y+2fUvouhtPcjd+jhpt8l1oiOnZpGLKXjLa++AJYl8ePnGm/ATSni6Rxa3HZwCncNMqduL1QhkUptvKBeWhZkcgZnk24oQqxa2q8odgbjhbMzOD9hv2eLcDeguhpqYq9xZj+U9v4lOz6V9m2A2w9z+Fidjqx2ZCKKqOHHmfEEfu8Nl6A9vPDn4NZf2oZfuX4HHjs0gq//6DiklPZQpJnzVVu7t1nMTNi/a1vnzYNZr6wrDCU93dAteACAbHLJMKS5FTLln9/5vRqu29ODJ4+OIZnR85nT5bOYlVohM1+k1Yegz4WTTTwUqSLB6R133IFPfOITAIDrrrsO999/Px5++GHceeeddVln0mi8bg2vvKwXf/hrewEAL8zYZYyVzJ5OzKRhWhI9/vxUyDqV9QLA9u4gpqz8BLMy18mcHo2jW52F0ra16McogXbIxBQG+8LI6iaGJ8sreYjPzAAAOrsq92YCAFu22FmAqfGNscC6mg4cn0RH2IstkQCklEj/4HPI/OQfAQCXDrRDADUr7TUnTwFSQo3YwakQAu69t8KaOgfz/NGaHAPN+fmRMfg9Gm552VZcsasTP3luGLqxMXd2Ava03rC7dplT53Nk06k17tl4ZHoWkCaOTgCXDrajJbh6z+wrL+uFpir4cX61g1AUKG1bGmZir8wmYY4eX5I1Bexj1XovgjH8Qh2OrLYyU+M4GXPh1pf344pdy+86fdMrB/Daq/vxw2fO4b7H7EoWSAkzerrGR9tcEtP279HOrsoFpyLQjjAShQ0RjUouF5yeiGLnljD8Xte6nvumK7cgZ1h4/NDoqpnTgyei6O8Koi1Uuf5/IQQGesPMnFJldLR4sXtbK544a19tsmKVC05Ho/abRMRb/+C0vzuEact+Q7AS5QWn506dhVfoCPdtL/oxItgBKxHFQN/6Sh5SsVnkpIrerspmn3v7OmFKgcT0xlhgXS1Z3cTR09O4YmcnhBB2T1ZsDFb0DGQujZDfjYG+MA7VaN+pNTEEAFAiA4XbtJ3XQvjCyB3iWplayuomfnF8AlfvjsClKXjN1f1IpHU8caTybRC1EkvpCGr54HqFIT0V5bJPgnKpxj5xXI6zcuR8yrNqSa8j5Hfj5bu7sO/wKNJZ+3ef0t7fMGW9xtlDgLSgbb9i2Y+rvbvt975E8/5OmJhKQMnMwPS34y2vXnl+hBACb71lJ151WS/uf/wUHj1rBw/WOPedrkcmPgNLCrR2VqasFwC8bRG0KqmGztxJKSEzC3tOCytkKlBiu607hAu2hO0LY54AZCaxpNIqlTHw0vnZimZNHQO9IQxPJAvve82GwWmNveLSXrww7WROKzcUybmC1arZJTD1DE6DPhdawn6kFT9kvLwAY3b4lP1cvcUHp0qwHdDT6ApI+D1a2X2nmWQcaelGV5mraFbi0jRkhA/Z+ExFn3ejOXZqGrph4fJd9hu2cXq//QEpYY6fAGCXwJwcjiGWqv5QInP8JESwA4p/7mKEUF1w7bkF5tmDMKeHq34MZNt/fBLZnIlrL7EDk93bWrE1EsQPnjm3YUusY6kc/JoJuLwQovq/coUTnGYr1zZSK1bSDtLSarhQ8r+Wm6/agkzOxBNH7AEtavtWyHQMVgMMnjPOHIDwhqBEll+5ofbl9502ad+pYVr46v1PQRUSV12xe82BMEII/M5tu/Hy3V346mNjyLlbYE4yOF0PKzmLtPBCUdSKPWegoxtBJYvT5xu4RUnPANKE8MztqncueFcqWLz5yq0Ym0phIq0ClgEYC0vQj56agmnJivabOgb7wpAAzow157RvBqc19rKLIoDLg4wSqGhZ70g0idagGy4933vjre++2G3dIUxbwbJ7To0pu0xLaesr+jEi39Mjk9MY6AuXPbHXTCeQU7wVm6w2n+EOApl4YSrhZrT/pUl43Couyu9cM8/sh2jpAYSAOXocAHDZBR2QAI6crH5GwZwYKvSbzue6+CZAdUE/9J9VPwayPXFkFG0hDy7c1grAPll9zdVbcW4igefPzNT12MohpUQipcOvmjUp6QUAaHZwamTStfl8FeQMWRnctQNuV3En04N9YWzvDuGR585DSmlP7AXqXtorLRPG2YNQ+y+DWGHdg9LRD3gCTdt3+p1Hh5CctM9zwt29RT1GUQT+2+2XYO9gB55PhJE8/1I1D7HpiWwculbZ80E1aGdhJ0caZyr2YjKXrxyZV9Z7aGgKLUH3ihPAS3X17giCPheOjtgX0RdP7D04FIXPo+GCLZVPFg04Q5EaOHu9HgxOa8zn0fCyCyMY0YMwZys3ins0mkJvRwAyE4fwBCGUslfYVkR/VxBjWR/MWOn9lbPJHEK5SeS0ABRv8VOHnYETMhHFYG8Y5yYSyObK6FXLpWBp/rXvVwbVF4ZfpDEyufFK7irBkhIHTkzi0oF2uDQFViYOc+w4XBdcA6W9H+aYHZxu7wkh5HcVhglU7XjSMcj4ZKHfdD7FF4Zr1yugH38cVqY5r042kngqh8Mnp3DNxd0LVjhde0k3gj4XfvhMY5RqliKVNWBaEl6hAzUKToUTnGY3XnA6fu48slLDy/eW0M4hBG66agvOTyRx/NwslHZ7ToFV56FI5vgJIJuEtn1pv6lDCKfvtPkypwdemsRDT53B9YN2ee7igVCr0VQF/+PXLkUqsBWe9CQOHtt4P/uNIJ014DFTkJ7Kbm8Q+eA0OzOBnN6Y8wCcQNEp6zUtC0dPTmFvmStkluPSVLzqsl48P5oPTrNzc06klDh0IopLB9qrsos05Hcj0upt2r5TBqd18Iq9vRgzQtCnKnPVSUqJkWgKPR1+yHSsriW9ju3dIUxZQchkFFKWliUcGp5FjzYDGS7uSqtDBOw3TKfvVErgdIklD4ZpQTPSS8aPV4o33IqgyDbtG8paTo/GMZvIzU3pPXMQkBLa9iug9uyCOXYC0jKhCIFLBzpwaCha1YmAhX7TZTKnAODaeytg6tCP/rhqx0C2Z16YgGlJXLtn4YRWt0vFq6/sw/7jkxif2VgBVyxpn7R4hF4ot6025/NYuY035TQ2MYY4gtjV31rS4665pBs+j4ZHfnEOii9s78isc+bUPHMAECq0rZeuej+172LI+IS9bqVJTMUy+OL3jqG/K4hrttkXykUJwSlg/9y/4sZrAQAPff8xHDvd/PtgK210KoWQkoYaqOz8DOdCQxgJnBlbfhBQvTmBojMQ6cT5GFLrXCGznBuv3IKEZb/nzs+cnhlLYDaZq0pJr2Ogt/wKwUbH4LQOLt7WhoTWBk1PQObWf7IVS+lIZQ30tjdOcLqtO4QpKwBhmZAl9v4MnZ9FjzoLX9e2kh4n/K2AUOyJvWWWPIxNp+ETObj81SmL9ra0IaRkcKpJ31DWcuClSQigMJDAOP0chL8VSud2qN27ACNbyHhcdkEHkhmjqm++5vhJQAionctnatS2LVD7L4N+5IeQ5sbcG7lRPHFkFH2dgWVLrm66cisUReCRZxtjCmux4in7NeOSes3LeoWZg25snPaBqVgGamYGIthecmbD41Lxyr29ePaFCcwmsg0xFMk4fQBq74UQ7tWrcNTe5uo7NS0LX7j/CHTDwrt/9VKI5BSELwxRxjAwf589QOni0Cw+8+2DODE8W+nDbWoj0SSCSgbecGtFn1cE7JacViXVsBfaC8FpPtFQiRUyy+lq9WHLVntNoJGeS4YczPe3XlqFYUiOwb4WTMWymElsvAuRa2FwWgeKItCx1Q68YmPn17j32kaj9g9hb0cAVoMEp+1hD1KqfbWu1HUyY+eH4RM6XB1bSnqcUBSIQBusRBThgBudLaWXPIxMJuFXcvAFq/M9VHxheIWOM8Ob8yrw/pcmccGWFoT9bkhTh3HuMLRtV0AIBWrPhQBQKO3dM9AOIaq7UsacGILStmXVwMG991bIdAzGiSerdhyb3eRsGsfPzeLaS7qXDUzaQh5cvbsLPzs4vKGmEzqZU03malfWm8+cuoWBVGbjXFD5+ZFRtCpJtERW3m26mldf2QfTkvjpgWEo7VthTZ+HrFNvvxWfgDV9btkVMosp7VsgPMGmKe2977FTePHcLN5x20XoaffDSkQhgsUNt1pMeIMQoQhu3JpDi9+NT997AGfHGzNT14jGJmbhFQb8rZWb1AvYAwOFL4web6ZhM3dzmVP7YuehocqskFnO1XvtSf/nzs616h06EcWOnhBaAtWb0O4kYRp5anK5GJzWya6L7RPxl469uO7nGsmvkent8EOmZyF8le0vKIcQAt52+2pSKeVKliWRnbSzI0pbacEpYJebyPzEx8G+ME6WeKV1dDIGr9ARCFe2DMYh8j20s9Hoht7dWI6pWAZnxhK4fKd9JdEceQHQM4U1C0qwHSLYAXPU/pkI+ly4oK+lcAWy0qSUMMeHlu03nU/dsgdK21bkDj68YSfGNronj9pDU669ZOXA5DVXb0U6a2Lf4cr16ldbPG0Hh6qZg3BVdvr3ivIZKo/QkchsjEBeSoknDp1HWEnD31FecNrbEcAlO9rwk/3DEG1bAVOHrOC6tlIYZw4AALRtV6x5XyEUqH27m2Io0pFTU/jevlN45WW9uG6PPXHbSkxCCZWfPVIjA1BmzuBP33oF3C4Vn/rGfow1+H7NRjEzaZ97af7Kn8+IQDt6PBkMNWg2ey449WM2kcWZscqskFnOxRfaQ9hOn7F/NyXSOk4MV2eFzHzbuoNQhGjY7PV6MDitk57tOwAA42dOrfu5hqNJeFwqWvwKkEtD+KoTWJWqtcfuGTVLCE6Ho0l0WHZwWcqkXocIthd2xg30hhGNZTFbQslDdNLOaGpVKut1sto+pBu2V6NaDuQzoE6/qXH6OUB1Q91ySeE+as8umKPHC0Hg3gs67D7VZOVXysj4BJBNrthv6hBCwL33VlhTZ5viBLLRSCnxxJEx7Nzags7WlQO4C/paMNgXxg+fOQtrg1wkcDKnwszUrudUm8ucJtMbI3N6ajSO9Ixd8q8Eys/y3HzVVkzHs3gpmR+CUqfSXuPMAYiWbiita+9qBfL7ThNRWGUMEGwUs4ks/uG7R9HbGcB/eY198V1KCzJefuYUsINTGZ9Eu0fHn771CliWxCe//hymYhtvVVKtJaft37nCX/lKMCXYjlYlhYmZDOI1WPlWsmwSUDVAdePQkH1OWK1gUXW5YChupGKzGJ5M4sjJKUiJqvabAnZf9tauQMNmr9eDwWmdCJcHOVcIrnR03WUqo9EUetr9EM50sgYo6wWALT2dSFpuJCaLv3o9NBxDjzoDyxOEUsbX4WROpWVhsC/fd1rCD+5M1A5Ohac6A5GcrymkNG45TLUceGkSkVYv+joDkFLCOL0f2tY9C3qR1J4LIVMzhVJwZ3jB4SpkT81xexjScmtkFtN2XgvhCyN36OGKH8dmd3Y8gfOTyVWzpo7XXt2Psel01ac4V8LxczP44TNn0dvhB/Rszcp6MT843SBlvfsOj6JTs+cvOJNAy3H5zg60hTz4wYsGIERd1slIPQPz/LGisqYOte9iABu379SyJL7w3aPIZA28+0174HHba4BkOgZYxroyp0pkh/05Jk+htyOAP/nNK5DKmvjfX99flYuWzcIwLegJO6spvJU/JxSBdvhM+xzm5EjjTbOX2YS9uUIIHByKVnSFzHJUXwhBJYufPHceB09EEfS5CuteqmmwrwUnR2Ib5oJtsRic1pG7rRddagw/X2eZ2kg0lS/ptd8oGiU43dYdxJQVRG56vOjHDA3Pos8Vg5ZfB1AqEWgHLBMyPYtt3SEoQhQdBFpSIhHLv5lXKTh1ynojPqMh39CrJZszcfTUNC7f2QmRP2mUiSjUfEmvQ+3eBQCF0t7+7iBaAu7C8uxKMseHANVdVPm40NxwXXILzDMHYM4MV/xYNrMnjo5BVQRevrtrzfu+7KII2kKehl8r84sXJ/DJr+9H0O/G+9+yFzCyNRuIJBQFUnXBDQPJdOOX9RqmhSePjuHyPvt0ZD3BqaooePUVfTh4Og4r2F2XdTLG+aOAZRTVb+pQ2vogvCEYG7Qy43tPnMax09N4+2svxJbIXADgXGRU1pM57dwBQMCcOAnAXjP2/l+/DNPxDP7PN/ZvqL7qWpqYSSOA/AWfKpwTKsF2KEYGXuQa8kK7zCQhPIG5FTIDlVshsxzVF0JfUOLxwyM4NBTFpYPtUJTqfT7HQG8I6azZdKXuDE7ryNXegx5XEj8/MgqzzMENWd1ENJYprJEBUFbGsRp6OvyYkUEgWXxgMXR+Fr3qDNQySnqBebtOk1Pw5Eseip3YG53NwGXZpUJVC07z/zfbQrIh39Cr5eipKRimtbCkF1hyAqe0bQHcvsJQJEUI7B3swOGhqbJ/RlZiTgxBjeyAUNSi7u+65CZA1aAf+kFFj2Mzs6TEk0fHsGegHSH/2oMjNFXBTVduwZFT0zg/mVzz/vXw4+fO43P/fgj9XUHc+VtXoTOQD7rcNcqcwi7t9WyQzOmhE1Ek0jouzscvSmB9pXA3XN4HVREYtdrqsk7GPHMAcPkKA96KIYTI950+v+H62l84M43/+NkQrr2kG6+6bOH6NyuRLytdR+ZUuH1QWntgTZwq3LZrayv+8I69GJ5M4m+/fWhDTaWulZFoCkElfz5ThXNCZ3XfhZ2y5K0ItSCzdnDqrJCpVr+pQ3iD6PSZSGdNJNJ6xVfWrKTczRSNjsFpHYlwN3wyhUwygaOnypve6lwt6e0IQKbzWb8GCU5VRYHhbYVXny3qF246ayAxNQk3cmUNQwLmdqk5vxQHe8M4ORIvquRhJJqEX+TLhDyrj/8vm8sLqBq6/QZGp1JIbZCBJeu1/6VJ+DwqLszvLzRO74cSGYTib11wP6EoULt3whw9Xrht7wUdSGUNnDhfuTdfaRmwJk9DiQwU/RjFF4Zr1yugv/g4rMzmyXpX0/GzM5iOZ5fsNl3NjVf0waUp+FGDZU+llPjOT0/gKw+/gMsGO/CBt12JkN8Nqed747QaBqcuDzzCPklqdPsOjyLsd6HLkwY8gXX35rYEPXjZRREcmvZBxicqsq6tWFJKGGcO2O0KqlbSY9W+i+2WlPjG6TuNpXL4+/uPINLqw2+/7qIlmSmrAplTAFA6dxQyp45LBzrwe2+4GC+cncEXv3e06coa12skmkRIyQAub1lrfNbinGvtardwciTWcBdVnODUWSGzp8IrZBYTniA8MoOtkSAEqrtCZr7ejgC8brXphiIxOK0jpcU+IdvmS+HxQyNlPUdhUm+7H1Z+x1KjBKcAoIY64YK+YDnxSk6NxtGtzAAobxgSYJeaAIB0hiL1hZHOGkWVPAxPpuAX9vAk4a5S5lQICG8Y7W47CD492lxvKMuxpMSBE1FcOtABTVVgpWZgTQwVpvQupnbvstdA5Kft7dnRBkWIipb2WlPnAVMvqt90PtelrwPMHPSjP67YsWxmPz8yBo9LxZU7I0U/JuR349pLurHv8GjDBF+GaeHL338eD+w7jRsu78UfvnkvPK58Rj4fnNY6c+rTTCQb/OJXIq1j/0uTuHZPD5CcXtcwpPluunILTmftwYDW9PrXtRXLip6GTM2s+N62Gmff6UYp7bWkxBcfOIZEWse733QpfJ6lwbhMRO0LDu71TapWIwOQqRlYyYUX8a/d04Nff/UFeOrYOL714xPr+hzNZiSaQoc7V7XzQedca3sgh0Rax8RsYw2oktkkkA9OL6jSCpn5hDcAmUngv7x2F956yy4EfdX9fA5FEdjRE2q6dTIMTuvICU6v6Rd47vhkWVm0kWgSAkB3uw8yEwNUd2EgRiPwd9rTCqdH1z5BGBqeRY86A6C8NTIAALcfcHkXZE7t5177B3c4mkSbx17vUq2yXgAQ+cZ5ADg52vwZuFMjccSSubmSXmfNwkrB6aJ9p36vCzu3hCs6BKcwDGmNNTJLjq19C9Stl0I/8iNIszECo41KNyw88/w4rrqwszBApVivvbofOcPCTw/Uv/83mzPx2e8cwmMHR/Ar1+/A79y2G6oy96vVyZzWqucUAODywKeaDT+t9+ljYzAtiVdc2gOZjK6r33S+C/tbYbXYFzjN6JmKPGcxjNMHAAio/ZeV/FiltRfCF4a5Qfad/udTZ3FoKIrfvHkXtvcsv77Oik8WWm3WQ81XuMwv7XXcds023HLVVjz01Bn8oMGqKeppJJpEmytbteBU+FsBIdDlsd/fGm2ljMwmoStee4VMDbKYwhMEcilcuDWM1768v+qfb76BvjDOjieaaj0hg9M6UsL2AJBLOgz7RO2F4gcHOUanUuhs9cKlqZCpWQh/uKpN36Vq77FPECaH1z6JHBqOYcCfgPCGyu6bFUJACbQXMqe9HQF4iix5GIkm0emzAM1dcklWScfoC0PJJdDV6mu6q13L2f/SJIRAoefDPL0fItAOpX35N3C1awAQ6pLS3jPjCUzHi18LtBprYgjCG4IIzZWbzSSyODO29sUC92W3QaZnYZx4qiLHslkdGooilTXsrFmJtnYFcfH2Njzyi3MV70UuRSyVw//6t1/g0FAUv3PbRfjVVw0uef8tlPXWMDgVmgdexWz4ntN9h0exNRJAf1cQVmKqIoEMYP8euPrK3chIF6bPnlz7ARVinNkPpWtwxd9fqYyBT339Ofz5F5/EJ776C/zttw/iSw8ewzceOY7v/fw0or7tSJ85giNDUZwajWF8Jo1URm+YklXDtPD86Wl8/UfH8e1HT+BlF0Zw81UrX0iWiWhF/k+Vzm2AUGBODC35mBACb3vNLlx1YQRf/+FxPPN86edRzUZKiZFoCmElW7UZJEJRIfxtCMoE3JqCk8ONc6FdmjpgZDGatEOcaq90AeyeUwCQudoPJhrsDcO0JM6sc/NHI6neGTitSWgeiEA7Wqxp9LT3Y9+hEdxweWnlrPakXjvLJzPxqowMX4/u/n7oABITq08kltJuqn9DMFZ2Sa9DBNthJfO7UhWBgSJKHqSUGJlMoa3LhED1xo0D9lh3a3oYO3pDeOl8Y11trIYDL01i15YWBH0uSCMH49wRuC561YoXUYTmgRLZviA4veyCTnz70SEcHoriVSX+jCzHHD8JJTJQOAbDtPCpr+/H2HQaH3nn1dgaWfk1oG7ZA6VtC3KHHoK26xUNdTFoI3niyChCfhcuKbMX6DVXb8XffvsQfvHiZFGTfittfDqF/3PvAczEs3jPHZfhil0r9NXl6pM59YjGntY7OpXCieEYfuOmnYCZA7LJwpCVSrj20l689FQb/CMnUXxHc/nsdoWTcF99x4r3+fojx3H09DQuv6ATqayBiZk0To3GkUzryBkWRj0B/GYghn/51s8wYc39LhcC8Hs0BHwuBLwutAbd2LmlBbv6W7GjJwRNrV6eIZnRcehEFPtfmsThoSmksgY01R5U987X717x/U9KCSs+uWCPdbmE5oHStgXm5KllP64oAu+6/RL8768/hy989yjCAXdhvsFmNJPIIZMz4ZOpqrZ5iWA7kJzCtp5QQw14dFqCzkxbVV8h4yhU22USgHf5SoJqGeyzWxiGhmO4IP/3jY7BaZ0p4S5YsXFcv7cH3350COMzaXStsoh+PktKjE6lcPF2++ROpmcr+su9EjzBMBJwQZ9dfchDNJbBbDKLNv8UlLbd6/qcSrADxrxSroG+MP7zqbPQDRMubfnywdlkDqmsgZBLh1CqNAwpT/hCkOk4Bi8I4alj45hNZNESbJxS7EqKzmZwdjyBX7/pAgCAOXwUMHNr9mSp3bugH7VLZ4XqwtZIAG0hDw5WIDiVuTSs6fNwD15duO2RX5zH+ckk3C4FX7j/CP78d65e8bUihIBr763I/vTLMEeeh5bfUUjFS2UM7H8pihsv71tQAluKyy/oRKTVix88c7bmwemp0Rg+fe8BmJbEn77tSuzcsvIJgTRqH5wKzWOvkmngzOm+w6MQArjmku5CpYtSobJeAPB5NMjWLQjGjiCezCIUqO57rHnmIICV2xUODUXx2MERvP7a7XjLqy9Y8nHdMJEc3wk88AT+8Ho3Jrv2Ipk2kMroSGTs/8tUxkAyrWN4MonnjtvDhlyagsHeMHb1t+LC/hZc0NeybP9nKUanUth/fBIHXprE8XOzsKREyO/ClRd24oqdnbhkR/vanyObBIzsuochOdTIDhin90NKuWxA7HapeN9bLsfdX3kWf/vtg7jzt19WuHDfyM5PJLB/aApXDFbutT8cTULAgmZUNzhVAu0wo6cx2BvGj587D8O0qnqhpFhOcHpi0p7SW4sLyIXMaRHzVSqtLeRBa9DdUBcI1ovBaZ0pLd0wTv0C1766B995dAhPHB7Fr7yyuAmiU7MZ6IZlL3kHINNxqJ3FTx+tBSEE0loL1PTUqvcbGo4hLNLQzExFMqcyHYM0chCaG4O9LTCtMzgzlsAFK5xEjuTXUvhFrqr9pkB+IbaZw0CXfbJ6ciSOK3Y1Z3B64IR9AjW3QmY/4PJC7Vv9AoTacyH0Qw/DmjwNtXsnhBDYO9iOp58fX/cvQHPyNABZ6DedTWRx32NDuHSwHbdctRV/862D+PajQ3jrLbtWfA7XzuuQe+pbyB18iMFpGZ590f5/LGVK72KKInDLy/rx9R8dx6nRGHb01KZq5PBQFJ/798MI+lz4n795+ZonwDJX+7JeaB64oDdscGpJiZ8fHsGeHe1oC3lgnLN/P1T64mrP4IXwHXgOTz37Am65ofQ+0FIYZw6s2K6Qyhj4p+8/j77OAN70yh3LPt6lqWjp7UfS34rOzBn073r9qp8vlszh+LkZvHh2FsfPzeDBn5/GA/skhAC2dYWwa2sLLuxvxa6tLWte/DQtCy+dm8X+lyax/6VoYYDglkgAv3ztNly+sxODveGS9jZaCfu9fz1rZOZTIgOQL/wMMjEJEVp+gFrQ58If/4YdoP6fbxzAh97xMrQ28IXfdNbAp795ENFYBn/y1iuwZ0dlXv+j0RQCIgsBWdVqOhFshzz9HAb3hvCfT1s4P5Fcsf+4lmTWfv3O5DTcXIOSXiDfcwpAZutTWjvQG26qNjEGp3WmtHRDZuJo95rYvb0N+w6P4vbrdxR1pWdk/hoZaUGm4w01qddh+doQzEwikdZXnGA2NBzDVnd+T2u5w5Dy5nadTkO0dGOwb24o0krB6XB+6rFHZiHc1f0eKj77zbs/LOHWFHx33ylc2N9S9WlyK9Gf/ylEaw+0EvbyFWv/S5PoavOh5/9v777D27iuxO9/p6Cw9yp2Ub1Qvbk3uciy3O04ieMkm96T3Wzi9aa8u8k63uym57eb5myK48S9xC224yrLVqV6ZVFh7yQIApiZ+/4xBERKpMQCECB5P8+TJyYJYq7IITBnzrnnpMfbYxZqd6EXLETRzv1v1XLKATAbDof+e1FZBm9U1nPsVCdzisbeFt7q37ekZts3ch557RgBw+L9V84mJz2ey5fN4KWtJ1hYls7C0qHf2BTdiWP+5fh3PIXV0YCaOvp9k2cSgT78lc9hdTbhvuzjKGPMKE4GW/Y1kp0aF/rbHKsLF+XxxJtV/G3rST62cfzlg+fz9p76UJDxpdsrRnbhG4WGSIrDiS4CeH1mzGQzBjp8vIPWLh+39GcQhSf8mVOA9OKZeCvh2L79XHbholEFV6MhzADGqX04ytcO+d7951eP0NHj4zM3LRq2IgMGzDs9dWDYDGFQcoKT5XOyWT7Hrhrw+gyq6rr6A9YO3qis4+Xt9pzX7LQ4ZhekhgLW7LQ4vD6DPVVtVB5tYU9VK54+A01VmFuUyhXLZrCkPJPMEVZxDcXqthvYhS9zar9em801qMMEpwBZqXF88bbFfO+PO/nhI5X8813Lxp1JjpQ/vXKEtu4+UpNcPPzKEb714ZVjriQZqK7VQ6bLngigxEc2c4oZoDTDPqer6rtiIjilP0DswxXxETJB0cycApTlJ7PzyLmvsyeT2HrHmoaU/o69VlcT6xbm0tThHfE+xOAYmdyMePD1gjBjMjh1pGSRpnrO2Wymqq6Lean2PLrxBqdnzjpNS3KRluQ6Z8lDfauHOJeGGuiFSGdO+4NTh+nhEzcs4HhjN//15130RiHLIXwe+t78P/pe+xXCCm+ntz6/wcHadpaUZ6IoClbLyMcsqPEpKCk5g/adzi9JR1MVdo9zpIzZVIWSlIXqTuLIyQ42723g6lVF5KTbFQi3X1ZOXkY8v372AN29/mGfxzH/ctB0/HtfGtd6hLAIHHoTz5+/hn/H0xjHtmDUbBvXc8ayjh4fB2vbWT0/Z9zlVvFunYsW5fHegUY6esLTLGsoQgj++k4Nv/7rAWYXpvK19y8bcUbmdEOkicvgKLoLTdivJ72+2Nt3unlvA26nxtJZdpBh9QQzp+G9kNTSCwBI9DWytzp83b7PZNYfgkAfelHFWV/bW9XKm7vruWZ10Yhuxmh5cxHeTqzO0Y2Xi3PpLChN58aLyvjqXcv46Zcu5l/uXs7tl5WTn5HAziPNPPj8Qb7+iy188Sdv8YUfv8X/Pr2PvdVtLCnP5NM3LuTHX7iIr9y5lCtXFI4rMAUQwRmnSeEJTtX0AlA1rObzN7gqyU3mUzcu5GSTh//35F4MM3pN04az83BzqMz7kzcv5lSzhzcrxzZS8EwNrb0U99+Hj3TmFCBN9ZAU7+DVHSdjorQ0WNabmZ0xYTf9Q8FplDKnwckUNTHw8w8HGZxGmZpsZ1yszkaWz8nC5dB4e8+5mwcFNbR6SHDrJMU5sLz2CRmLwWlSVi4Jqp9TdS1Dft0wLWobuylxd4+rU29QcFae6Dl9MVKal3zOcTJ1LR7yMxJCg5sjKfhmIbxdLJ2dxadvWsjxxh6+//CuCS/DM07sBmEiupowjr0b1ufeV92OYQoqQiW9OxnNmAUtZzZmw5HQcO84l86sgpRxj5Qxm6vRssuwLMEfXjpMWpKL69eWhL7udGh84oYF9HgD/Pb5g8MOF1fjU3CUryVw6K0x3y016g/R+8S36Xv91yiJ6cTd8C8oKTn4dz0Xc0PNw+W9/Y0IGFdJ70BXrCjAsgSv7YzMPEvLEjz0tyM89noVq+fn8KXbK0aViRGBPtBdKMoEvt06XKjCRMWKuXEyvoDJ1kNNrJibHZoFK3paUeKSz1tRMVqKMx4lMYNiVxev7ojcvFPjeCVoDrQZg0v8e/sMHnz+IHkZ8dw4wu06wW0C4x0po2sqM/NTuGZ1EZ+/dTE/+sJF/Ns/rObuq+ewuCyDq1cVce8HlvPDz13IR6+fz4q52WHNMFo9LfZYuzC9nyqaAzWjCHMEwSnYHVo/dM0c9la38X/neB2Phi6Pn9++cJDC7EQ2XVjKukV5zC5M5Yk3q8Y0UvBMda0e8hL6x+JFOnMK4Gnn7qvn0OXx82//t41fPrOftq7Rzz0N1++ot8tO8JSV5oXl+UbEEQeKhujzTNwxByjJS0aBEU2mmAxkcBplanL/nePORtxOneVzsth6sAl/4PxZrGCnXkVREF77jzEWg1N3un0R2lY/9DgZez6TRabSPu79pnD67nuwYy/YJQ9NHV56hrlQq2/tJT/dDYYPxRXphkj27yh4Q2HprCw+c/MiTjb38P0/7Rp2jZFg1OxAiUtBTSvAv/MZhAjfHebKoy2hgBLs/aZaTvmIbz5oueUIX8+gDMKimRmcbPaM6Y0P7I6aoqcVLauMv+88xYmmHu68YtZZczaLcpK45ZKZ7DzScs5Zmo5FV4Ppx3/gtdGto6sJ70s/wfvMfyC83bgv/wTxm+5Dz52Fc/G1WC01mPWTY97haL2zv5Hi3KSwNSvJSYtn8cwMXtt5ioAR3gxJwDD5f0/t5ZUdJ7l6VSEf2zh/9CWygb6J7dSLnTkFYrJj787Dzfj8JhcsPF0Kb3naQhUv4aamF1AW18WeY600d3jD/vzB7QrajPmhn3vQX/5ul/N+dMP8c5bzDqQkZ6MkpId93qmqKMzITODSpTP46PXzufXSmZQXpESu1LmnFTUpvM1otMwSzJaaEb9PXVSRz6YLS3l7bwNPvjlxI4XORQjB7148hNdnhF5PFEXhfVfMoqc3wLPv1Izr+Xv7DDp7/GTH2X/36gRkTi1PK8vnZHP/J9Zy7Zoith5s5N5fbOHJN6vw+UdWkRWo3obnoa/094QYn+bGFiyhML98/NeTI6UoCoo7IWplvXEunbzMhCmz71QGp1Gm6E6UhHSsTjtbum5hLl6fwa6jQ2cZB6pv67VLerGbIUFsBqfBPaC9bY1Dft3OaArivE3jLumF/p9pXPJZmVNgyJKT3r4AnR4/han2m2jEM6f9Zb2i73SZ85LyTD578yJOtfTw/T/tnJAAVRh+jBN70EuW4ly2EaujHqM6POWkliWoPNbCorJ0dE3F6mnDaq1FG0FJb1BwD+ygkTL9w7T3jLG0N1gS1pdcyBNvVDGvOI0Vc4bev7R+VSHzitP40ytHaGgbenaZll6ANmMBgX0vI8zzBwHC30vflofx/OVejJN7ca64mYQ7/qN/r5r9cuyYtQ4lLhl/5XNj+jfGsvpWD7UN3aydH97hHleuLKSrN8B7B4Z+jRmLpg4v3394F9sPNXPn5eXccfks1DFcaItAHzgnNjilP0hyYtATY02RNu9tICPZzawBoz5ET9vpLEyYaemFJARa0RWL13aFP3tqddQjupvPKundW93KG5UjL+cNUhQFLW8OZn1sZftGy+puRQnTftMgNasE/F5E58hnmd5wQQkXV+TxzOaaiPz+R2vz3gZ2HG7m5otnDhpZVpybxAWL8vjb1hM0tY99VmZ9m525S3P4QdEggjfblbhkULVQt+04l85tl5bznY+toaI8k6ffruHrv3iHt/fUn3NWr9lcTd+rv0B42vC998i419XR1k4fToomqElekOJKjFpZL0BpXhJV9V2T+nUjSAanMUBNycHqsi+q5halkZbkYvPec5f2evoCdHn8Azr1xm5ZrxLcc+JpxTdERriqrosZCQZKwIuaGp47XUpiRmgfE0BJbpJd8jDEXaVgM6S8pAkKTnUX6K7QDYWgxTMz+dwti6lr7eU//7TznPsdw8GsO2DvkypZhl66EjUlF/+O8GRPq+q76O4NnO7Se3wXMPyYhaEoKbko7qRBwWl+ZgLpyS52j7G012yqAkXlyb0GvoDJ+6+aPeydfVVR+Ifr5+PQVP736X3D7ltyLr4a0duBUfXesMcVlol//6t4Hv5nArtfRC9fS8Id9+NadsNZ2RZFd+JYeBXmiT2YA0YiTQVb9jWiACvnhTc4nV+cxozMBP627cS435h9AZPH36jivl++y/HGHj5xwwLWryoa8/OJQB+KPsGZ0/79rU7FiKmy3vZuH/tq2li7MDcU6Ash+jOnkQlO1fQCFGFxcanCm5X1I6pKGg0z+No2IDgNducdTTnvQHr+PIS3C6tj+KqNWGf1tIRtv2lQsMO62TLyLKiiKHzw6jksnpnB7188NKIb/5HS0unloZcPM7sghfUrz+7qfPMlZeiayiN/PzbmYzT0X88kqX0ocUkR3U6gKKqdXBlQpQZ2U6pP3biQez+wnLQkN7/+6wH+7bfbOHS8/aznsHpa8b7wQ5T4ZJxLNmCe3ItRd2DMazItC293F6YeN+EzyBV3YtQyp2DvO+3uDdDaObbKslgig9MYoKbkhO4EqqrCuoW57K1qo/McDT6CL0B56XYgJbydoCihdtaxRIlLxlJ00pQeTjaf/YdbVddJRaYdiKnp48+cgr0XQgwITuNcOvmZCUNmToNjZLIT7YtaxRn52WhKXHLohsJAi8oy+Pwti2ho6+U//7SLrggGqEbNjv6xLvNQVBXn0o1YbScwayvH/dyVR1tQFYVF/W3cjdpdKMnZo7r5oCgKWk45ZuORQZ9bXJbB/tr2MTW5MJurCSTl8dreFq5aUUh+5rl/12lJLu65di61Dd089dbQF0RawSLUtHz8u18cMjAyTuyh97Fv4Hvrd6hp+cTf/E3iLv0o6jmavzjnXw4ON/7K50f3D4xhQgi27G9gbrF9Ay6cFEXhyhUFHG/s4cjJkTWUG2p9Ww828S+/3MKzm2tYMSeL7358DavHm+UN9KFEK3OqBPCEYQ9buGzZ34AQDCrpxd8Lgb6wd+oNUjPsIOCCApMeb4D/eXw3phW+8m/jeCVqRmGoQgjgL38/Snu3j49smDfict6BtNC+07FfpEeT8HvB5wl7qbaalg+aE7NpdCW6mqryyU0LKMpJ4n+e2huVpj2WEPzmrwewBHz0+vlDllOnJrq4bm0x2w83c7D27EBuJOpaPWiqgsv0TEiyQk0cfK01UHlBCv9y93I+tnE+Xb1+vvfQTn72+J5QZlj4vXhf+CHC8BN39ZdwLtuEkpCO771Hx3yTsaquC5fVhx4/8V2DFVdCdDOnwckUU2DfqQxOY4CakoPw9YQ6jK1bmIslBFv2D1+iFuzUO3DGqeJOisnxE4qiQkI66aqHE42D/3B7vAEa273MTLT/7eHLnKZj9bQOeoErzbebIp35olfX6sGhq6To9kVcpPecAijupCGDU4CFZRl8/pbFNLbbGdQuT/gDVGFZGLU70QsXc/hUD62dfejla1CSsvDtfHrc2addR1uYVZBCgtuBCPgw6/ajFy0Z9Z1MLXc2orMRq/d0wLFoZgY+v8mREx2jei4hBGZTFQd6UkhNdLLxgpIRfd/yOdlctDiP596pHfLOr6IoOBaux2qtHbRP1Gyvo/f5/8b7/H8hDD/uqz5L3PVfQ8s8/3EVVwKOuZdgHHsXqzt6d/rDqaqui+aOvrA1QjrTmgW5JLh1/rb1xKi/91Sz3ZDs/z25lwS3g6+9fxkfv2FBWIJoEeib2BmnnM6cumIocyqEYPOeBmbOSA51xobTvQGUhAjtOU3JBVUnV21n47oS/vbecX7+xF4CxvgzqMLnwWw4gl60JPQ5u5y3jmtWFTEzf+jRZeejJGWiJGaEfd/pRAl2ylfDHJwqqoaaWYTVUjPq73U7db54WwXJ8U5++EjluEpnx+LlbSc5eLyD910xi6xzdEK+emUhGcn2aBnLGv37cENrr/331TcxowWHypwOpCoKaxfk8t2Pr+Gmi0rZW93Gv/zyXf78yiF6/vZzrPZTxF35abT0GSi6E+fyTVhNxzBrd41pPXuqWolXfcQlje1vb1xc0c2cFmQlomvqOZt/ThaxF8lMQ0py/ziZTjsYzctIoDQv+ZylvfVt9t2xzFT7okd4OyPaMny8HCmZZOpnj5MJ/hHlap0orsSwvZiqiRlg+Oy78v3K8pLp8QZoPqPkob61l9z0eJSA/dhIl/WCve904J7TMy0oTecLty6mud0bkQDVbDqK8HbxzIlUvvfQTr714HscOdWNc8kGrOZqzJN7xvzcLR1eTjV7TnfpPbUXTGNUJb1BWu4se72NR0Ofm1echq6NfqSM6GoEfy/7ulK4/fLyUXWmfN+Vs8hKi+OXz+4fcuSPY9Y6FHcSgT0vIfp66Hv79/Q+eh9mwxFcq+8g4fbv4ihdMarg3LloPaDg3/PiiL8nlm3Z14iuqSyfnR2R53c5NC5ZMoMdR5ppGWHjm94+gz+9fIRv/mYrxxu7+cD62XzjnhXMHrAfcrxEFBsiJTvFhHcAH87xxh5OtXhYt3BwB81g1iVSmVNF1VDT8rHaTnDTxWV87MaF7DzSwg/+Uol3nGN2jBN7QFihkl6vb0A570WjL+cNrTk477T+UFib1E0U0RPeMTIDaVmldlOkMWS/UxKcfPmOJQgB//2XyohWJg10qsXDo68dY0l5JhctPncHWadD49ZLyzne1MPbe0Y/WqautZe89Hj7mnCiMqee9vP+PlwOjY0XlPLdj69h7YJc4vc9Caf2UFO4AWXGgtDjHLMvREnJwbf1sTH9jvccayPFYaDHT3wVoeK2M6fR2vOpayrFuYkxMc5nvGRwGgPU4KzTztPB6LqFuZxo6hl2Nmjw7lhwYLPV1x3RluHjpSZlkqH3UntG5rSqrhMFSPQ3o6blh22PwJmzToFQU4qqusFlf3UtHvIy4k+3AJ+A4FQdpqx3oPkl6XzhtgqaO7w88KeddIYpQD18ooPNz7+AIVR29eZx5+XlJMU7+f7DO9lhlNtlNTvGnj0N7ulZMqs/OK3ZBc44tLzZo34uNbMYNAdmw+HQ59xOndmFqeypGv5u7VA8J+3yYCWrlNWj3PPodup8fOMCOrr9/O7FQ2f9bBTdiWP+ZRi1u+h5+KsE9r+KY96lJNz5PZwV145pRIaamIFevobAwdcn9G6sL2By+ERHWN9gTcvivYONLCnPIN4dvnEVZ7p82QwUlPOODbGE4M3dddz7i3d4edsJLq7I47sfX8PlywpCr6lh4+8LZTInTP/xklwiLGW9TR1e9lW3UdPQRUuHF6/PGPX5sXlvA7qmsHLu4JsTwddoJUINkQDU9EKstpMA3HDRTD6+cT5HTnbyvYd2jOt11TheaY8/698LGSrnvW5s5bwD6XlzEX3dWO2Tb99psNpDiURwmlkChn/M+3Fz0+P5/K2Lae/28eNHdw/ZByOcDNPiV8/ux+3U+NC1c0d0jbNqXjYzZyTz2BtVo7qBYpgWze1e8jLi7Gq6CcqcYpmhiRHnk5bk4gOl9VzqPsBuxxJ+sCuNb/z6vVAfCUXVcK24Gav9JMaxLaNaS2ePj9rGbhJU34QkGc6kuBPBNMCcmJseQynNS6a2oTusWxeiIXJXCdKIqUlZgBLKnAKsnp/Dw68cYfPeBopyzq6dr2/tZcaA/XLC2xV6g4xFSmIm8aKXhuYOTMsKXQBW1XeRnxkPnfWoZavCdrzgXXjR0woZdjOTGVkJOHWV6rpu1sy39zz5AiatnX1cuCgP4beD0wkp641LRvR1I4Q455vVvOI0vnhbBT98tJIHHtrBP71vKamJY7vQrarr4ok3q9hX3co3Uo/Sk1rGt2+9GIeusW5RHj9/Yg+/+OthPjN/NbMbnsesPxiauTcalUdbyEmPJzc9HiEszBOV6IWLUdTRv9womsO+Uz6gKRLYXXsffvUoLR3eEQ+LP7q7kkKhc+36NWO6CVKWn8ymi0p54o0qKmZmsnbgvjnAMf9y/PteQcsqxbXmTrT0glEf40zOimswjryNf/+ruJbdMO7nO5/2bh8/fmw3tQ3drJqXzT3XzsXtHP/bxP6adrp7A6xZkHv+B49DerKb5XOyeKOyjk0Xlp41Igjsjt1//Nthquq6mDkjmS/eXkFJBLs6CsNnz8CbQMHMaZJTcHycZb3V9V1874878J8xpkdTFRLiHCTGOUh06yTEOU5/3P+/BLfe//8O3t3fQEV5Jolxg2/UiJ42UFSU+NRxrfNctPQCjCNvY/V1A0msWZBLvNvBz5/Yw3/8YTtfuWPJOUsthyIsE+PEbnu7gqqyr7qN13fVcc3qImbOGH9J4cB9p+F4LZlIVncrqHpEgiM1285IW83VY/65lM9I4ZM3LOCnT+zhp4/t5hObFp51XobLs5trqG3o5jM3LSQlwTmi77FHy8zm33+3jee21HLLJTNH9H2N7V4sIZiR6gDTP+6Z8SMRLN0WnjY4Rx+FIOPkXnxv/wGtqIK1V32OuGNt/OXvR/nhI5XMLUolLzMBl57Oha5cvG8/wt6OfJwuFy6nhlNXcTm0Qf/tdGq4dA2HQ2VvdRsKAt2MUnDa3/NF9PWgjPE6bbzK8pN5edtJTjV7howdJgsZnMYARXfaeyS7TrdHT4xzUFGeyZb9jdx22cxBd/MN06K5w8vyASMwhLcrNKIkFgVfwJKsbhravMzITEAIQXVdFxeUx0GdJywzToNOZ05PZ9c0VaU4N4mq+tN3+BpaexHYXWBFey843GMKoka9PncSWKZddnyeF9G5xWl86bYKfvjIbh54aCdfvWt0Aerxxm6efLOaXUdbSIxz8KG1KWQc6sK1+MbQ3f3EOAdfvmMJ//f8Qf53r8m/Zyagbn9q1MGp12dw8HgHV66wLxqspiqEt2tMJb1BWu5s/JXPIwxf6KJ70Uw7ON1T1cply85/gVLb0I3eXkNPYh4lOWN/w96wppi9Va38/qVDlBekDLqgVeNTSbz7J2HtjqilF6IVLiaw9284F1+Doo/s4mYsjjd286NHd9PbZ3Dp0hm8vusUp5o9fObmReSmj++GzZZ9DcS7dBaVRWZf4UBXrSxk68EmNu+tH3RudPX6eey1Y7y1u56kBCcf3TBvUNfYSBDCisqc02DmNEG3xlXW29Lh5UeP7iY5wck9187F57ebCvX0BejxBvB47T2tPd4ATR1ePPVd9HiNYZuVrVt49s0Jy9OGkpAW0X4JwaZIVttJKLTfZxbPzOAf71zKDx+p5Lt/2M5Xbl9CQfbISwHNpmPg86AXV/SX8x4gN31s3XmHXHNSJkpSlr3vdOFVYXnOiSJ6WlESMyLSKVZNyQWHG7O5Gseci8b8PEtnZ3HPtXP5/YuH+NaD7/GJGxYwqyA1fAvFviH87OZa1i3MZfmc0W1nKMtPZu2CHF587wSXVOSP6CZsQ6t9gz0vsb9/xkRkToOzTnva0LLPHUSb7afw/u1nqGkziLv8kyiaxrLZWSyemcGrO07x6o6TnGz24AuY1CoL+GTSK1S/9Txv++aMbC0KZCeAgohe5hQ7OCVCc5vPpyzvdFMkGZxK46am5AzKnIL9Rr7jcDP7qttZPPP0id7c4cW0xOlmSIbPvgCKi8IG8BEKlvekqfa+0xmZCTS2e/H0GcxJ9kIdYZlxGjpeaP7W4H2JpXnJvLrjFIZpoWsq9cEX84x4RIMHxRn5rGloffQ3shrBi+icojS+dHsFP3ikku89tJOvvm/peZu1nGru4cm3qtl+qJl4l85NF5dx5fIC1P3P4wf04qWDHq9rKh/ZMI/stDhe2DqPm6xtdNceIKl45AHqvuo2TEucHiFTuwsUFb1w8Yif40xabjnsMjGbqkLBcm56PJkpbvZUtZ03OLWE4KEX9/MJrR1n2fIxrwPsbtof2zifb/7mPX757H7++a6lg24cReJizLlkA95n/oPA4bfsLr4RsOtIC//79D7i3Tpf/8AyinKSWD4ni/99ah//9n9b+YcN81k6e+h5sOfj85vsONzC6vnZOPTI7ySZmZ9MaV4SL28/ySVLZyCE4NUdp3jyzWr8AZP1qwq54YLSUe05HrOA3XE9WntOE3STns6xBae9fQF++OhuDMPiq+9bet7O1kFCCPwByw5ivQE8/YEsENqHPujxEZxxGqT2Z9js0t7TFTrlBSl87QPL+O8/7+L+P+7gC7ctHnGAYtbuAkVDL1jIQ68epa3bx70fWI7TMb5y3oG0vLkYtTsQworoSJBws8fIRObiXFFUtMwSzOaacT/XRYvzKcxO5H+e3Mf3/riTmy4u5do1xWG5YeULmPzy2f2kJjm568pZY3qOWy6ZyfZDzTzy2jE+dePC8z4+OBYv02VgwoT0IQn+7Q7XsTfI8nbhfeEHKLqDuGu+iOI8HWzrmsr6lYWDxuuYloX36ePc1n2QG669C5/Q8AcsfAETX8DEH/p/a9B/z880YAtRmVwRypz2NzeNhqzUOBLcOtV1XVy6JHzX1BNt8rzaTXFq8ulZp0GLZ2aQGOdg897Bm+JPd+oNjpGx96XGdOa0PzjN0k937D12ys5gznDaey/DGpwG52+d8YJZlp+MYVqhkTZ1rb2oimJ3t/N5JuxuWzA4tfpGvnF9dmEqX769go4eH997aAdtXUPPsmpo6+UXT+/jG79+j33VbWxcV8IDn1rLxnUlxLl0jJodqNllQ44yURSFjReUMueKG+ixXBx78SEaR9HVcNfRFhLcOuUF9o0So3YXWu7scf1ctZz+pkgNg0fKLJqZwf7atvN23Xx7Tz19TbU4FBNX/sjKo84lMyWOD66fw9GTnfz1ndpxP19Qe7ePZ96u5ncvHho0p0zLnY2aXWZnj8O8j0QIwUtbT/CTx3aTmxHPv35oRehu64KSdL55z0py0uL5yeN7eOz1Y2PqHrnzaDO+gBkqpY80e6xMIfWtvTy7uYZvP7iVP718hLK8JL79kVXccfmsEQemlrdrXA1pRKD/9zjRe077g9M4zcLjHf2eU8O0+NkTe2ls6+UzNy8acWAK9s/f5dTISHFTnJvE/JJ0Vs3LYdW8nCEv+iM54zS0prgUFHcSVuvZnZwLshK59wPLSYp38F8P72L3sZF1xzaOV6LlzWZ/XR+v76rj6pXhKecdSM+fCz5PaL/sZCG6W1ATw7/fNEjNKsFqO44wx7+fuiQ3mW9+eCUr5mbx2OtV/OAvlWHp7/Doa8dobOvlI9fNI949tpLh9GQ316wuYuvBJo6c7Djv4+tbPaQnu3AY/VuUJqIPiSsBdOc5O/YKw4/3pR8jejuJu/qLI+rirKkq7jW3oXg7ST75NgVZiZTlJzOvOI0l5ZmsmpfDRYvzuWJ5AdeuKebGi8q4/fJy5uXa1UVRz5xGiaIolOYnT/qmSDI4jRFqSg74PINOal1TWT0vhx2HWwZ1CA1m+4KldsHGOmosZ07jU0FRKUr0U9vf5KmqvguXUyPJ3wyuhLCXoNhd5M4ITvtLHqr7uwTXt3rISotD11SEv3dC9ptCf1kvp28sjNSsglS+cvsSujx+Hnho56AAtbnDy2/+eoD7fvkuO440c82aIh741Dpuurgs9OZo9bRhNVejlyw753FWLyrCmnsVMznBb3//AodHMLbFsgS7j7WyqCwDTVWxupux2k+Oq6QX7DcZNa1g0LxTsPed+gMWh08M34ihty/Ao68dY0Wm/TejhWlf9poFuaxZkMPTb9WEbrKMhSUEe6ta+enje/inn2/miTereWt3Hff96l1e2noCy7L3JDsrrkN0N2PUbAvL+sEOQH7/0mEefuUIy2Zn8bW7lp1VLp6R4ubrH1jGxRV5/PWdWn7wSGUoCzZSW/Y1kpbkYnZRatjWfj4r52aTkujkyTer8fpMPnPTIr58x5JRBVlWVxOeP36Z3kf/lcCxd8d2YyBamVNVBU0nTjXo9RmjuqkghOD/XjjIgdp27rl2LvOKz7+PbKyEEAhPW0SbIYF9waamF2AOE+Rlpsbx9Q8sJy8jgZ88tod39g3fKR/of207hchfxG+f6y/nHUd33uFo+XMBJtVIGWH47W1GEcqcgt2xF9PAag9P0B7n0vnEDQu459q5HD7Rwbd+8x77a0bXcG+gfdVtvLL9JFeuKGB+yfjO7WtXF5OW5OJPLx/BOk8TsvpQp177+mYiMqeKovTPlR+6e74Qgr7Xf4PVeBT3ZR9Hyx75e7CeOxutcDH+yr+OOBsZfFxUg9MozjoFmDUjheaOvqh1DQ4HGZzGiFDH3jOyp+sW5WKYFlsPnt6P2tDaS2qiM3T3P/RCNAH7C8ZKUTWUhDTy3F6ON9qNgKrquijNTUJ01KOlzQhbp97QMRMzBnXrBftiOyneERphU9fiIT9YHh2FzOn5OvYOpbwgha/csYRur5/vPbSDgzVt/O7FQ9z7iy1s2d/IFcsL+N4n13HbpeVnNXkwancCnDc4BchftwHhiOdKVyXff3gnW/af+4LtWF0nPd7A6REy/XPKxhucgl3aazYeHRQgzC1OQ9fUUJe/oTzxZjU93gBrc70occlhHQr/gavmkJbk4pfP7B/1SIpOj5+/vlPD1/7nHf77L5UcPtHB+lWF/Mcn1vDdj61hdmEqD79yhH//3TZ7v2zxMpSUHPy7ngvLG05vn8GPHt3NaztPce2aIj5108IhmwcBOHSNe66dxz3XzuXQ8Xa+/eBWahpGdt529/rZV93G6vlDZ80iRddUPnztPG6/rJzvfGw1y+dkjfr1JVC1FSwDLJO+V/4fvY/eR+DoO6MKUoOZU2WCGyIBoLtwqXZVQe8ozs9nN9fw9p4GbrighAsWnXvsxXiJvm4wjYiNkRlITS/Eaj+JsIautEhOcPLVu5YyqyCFXz6z/5zzco3jlQC8cCqVti4fH9kwL6zlvKE1J2agJGdj1h0I+3NHyunRQJHLnGpZ9o2AcJT2BimKwsUV+fzr3SuId+v818O7eOKNqlF3PfX0BfjNcwfIy4jn1hE2MjoXl1PjlkvKqGno5p1zjBe0hKChtZe8jIQB14QTU02nJGYMmzn173gK49gWnCtvwVG2ctTP7Vp5C/g8+He/MKLHh4LYKDdEiqZrVhfx1buWhv2aeiLJ4DRGKCmDZ50GleQmkZcRP2jmaX1bb6ikF8Dqb+Edy2W9YJf2pqkePH0Gje1eTjb1MDM/GbP9VFibIYWOl3D2/C1FUSjLS6aqvgvDtGhq94ayKcLnAecEBafBzOkoynoHmjkjha/csZQer8E//eRN3qys4+KKfO7/xBred+WsYbsCGjU7UFNy0VLP//NWnHG4Fq9ntlLLyhw/v3h6P0+/XT1scLTraAuaqrCozL7QNGp3oabm2Q0sxknLnQ1+L1b76REhLofG3KLUYeednmjq4dUdJ7l06Qziuk+iZpWG9cU63q3zsY3zae708qeXj5z38ZYQ7K9p4+dP7uUff/Y2j71eRWaKm0/csID/+swF3H5ZOTlp8WSmxvHF2xbzyU0LaOv28W//t41HXqtCnX81VksNZv34sijNHV6++4ftHKxt58PXzuW2S8tHFDheXJHP1z+wHBB89/c7eLPy/KMcth5swrQEa+aPbnRPOCyemcE1q4vGHDQY1dtQs0qJv/27uK/4NCgKfa/+L72P3EvgyOZhg5yBRKB/3qpzghsiYe87dSl2UOoZYbb7nX0NPPFmNWsX5LIpTI19ziWYbYl0WS/YHXsx/BgdjcM+Js6l86XbK1g+O4s/vXKEx984NuTrnXG8kkB8Fn/d18f6VYWUh7mcdyA9fy5G/aGwl/RHitU/4zScNwLPpCRlgSsBq7kq7M9dkJ3INz60kgsW5fHM5hr+84wKpfP5498O09nj5x+unx+2GxZrFuRSmpfEY68fw+cf+nWno9uHL2Da/TO8neCMH9MIs7FQEtKH3HMaOLoF//Yn0WdfgHPJ9WN6bi2zGL1sFf49L2H1nr9KKaqZU00HhzvqwalD1yjNi91k1UjI4DRGqElZoChnBaeKorBuYS5HTnbS1N6LEIL61l5yM06Xn57ecxrbJ6OSmEm8Yb+4vFlZh2kJZmUo4POEdb/p6eNlgLAQvR2DPl+an0xDay+1jd2DG0v5PCjuCQpONR2ccaMu6x2oLD+Zr75vKbdcVs5/fHwNH7x6DunJw18EC58Hs+7giLKmQc6FV4HDzV25R1i7IJcn36zm1389MGQ3zsqjrcwqSCHe7UD4vZj1B9GKlozln3aW0/tODw/6/KKZGTS29dJ0xr5YIQR/eOkQCW4HN63JxeqoH1U50UjNLkxlw9oS3tpTz7YB1Q0DdfX6ef7dWu79xRa+//AuDtS0ccXyAr7zsdV89a5lrJ6fc1ajIEVRWDUvh+98bDUXLs7jhfeO829v6ZjOJPyVz415vUdPdfLvv9tGZ4+PL9+xhIsqRndTqDQvmW/cs5LZhSk8+PxB/u+FgwSM4S+at+xvZEZmAoWj6IIaC6zuFrv8vXQFiqLimLmK+Fv/DfeVnwFNp+/vv8DzyL0EDr997iA1mDnVJ36sgOJw4ewPTntG0LH30PF2HnzuAHMKU7lnhPMYxyvYE0BNiHxnSzWrBIC6P3yLvs1/xGg4POR+Yoeu8akbF3JxRR7Pbq7l9y8eGlQWLQJ9mKcOsK0nl5z0eG66KLIj3LS8ueDvxWobPpMbS4IzTtUIzDgNUhTFHjEWxszpQC6nxkc2zONj18+ntrGHbz24lcqj59+LvPVgE1v2NbLxgpKwBgdq/2iZjh77vWQodaHmjgkTNuM0tL7EdERvJ8I6XaFhNhyh7/VfoeXNwX3Rh8f1euJaeTOYAfw7nznvY6MZnAaPG+2y3qlABqcxQtEcdmlE59l3ddcuyEXBHmLe5fHj9RnkpQ8MTrvsEShRuAAaDTUpA83XiYbFm7vtJk/FcXZwFongNDR/64zS3rL8ZASESmTyMhLsxgqGf8K69UL/rNMxlPUOVJybxD3XLxhRm3njxG4Q5qiCU8WVgHPBlVg12/nIBSnceGEpm/c28N9/3jVo72FTh5e6Fs/pLr0n94BlhqWkF+xuz0p86pD7TgH2VA2+a7tlfyNHTnZy66UzcXefAkTY9pue6Yb+C5H/e+Fg6A67EIJDx9v536f38Y8/e5tH/n6MlAQnH7t+Pv/92Qu484pZg6ofhpPgdnDPtXP52vuXoepOnusoxzyxh86Tx0a9zi37G3jgoZ3EOXXu/eDyMe8lTIp38uXbl3DdmmJe31XH/X8cujlXY1svR092smZBzqQrLzKqtwPgKF0R+pyiqDjKVhJ/y/+H+6rPouhO+l77JZ6/3Evg0JtDBqmif89pNDKn6C50Yf+Nnq8pUn2rh58+voes1Dg+e8uis26WWB0NWON8rRpKsCfAhGROM4pwX/VZXHllBA78He/T38Xzhy/R99bvME7tH/T7U1WFD10zlw1ri3ltVx3/89Te0E0Y49R+sAx29OTy0esiU847aN0D5p1OBqKn1Z5bO4KZl+OhZZZgtZ1CGONvXjSctQtz+eaHV5KW5OJHj+7mz68eGXZMUkePj9+/eIjSvCQ2rC0O+1rKC1JYNS+bF949PuTrbahRZqZd1jsRM06D7L9fgfB0AGB1NeN96ccoCRnEXfU5+2b8OKgpuTjmXETgwN9DNz+GI3we+3p4nMccK8WdGPXM6VQgR8nEkKE69oLdsW1eSRqb9zYwp8h+wR94YWvPOI3trCkEM5mC8nSLQ20BMpLdxPU144OIlPWG5m952hh4+RC8o/nufvtnnZcRH5W7bao72d5zNUGMmh0ocSmoo8wgOhatx7/3Jfy7nuWGyz9BVlocDz53gO/8fjtfum0x2WnxVB6x3zAqZvUHpzU7UVyJaDnlYVm7oihoubMHdewFyEmPJzstjj1VrVyx3B4X4fUZ/OXVo5TmJXPh4jwClTuA0/uUwk3XVD6+cT7fenArv3p2P0vKM3m9so761l7iXDqXLpnBJUvymZE19uzh7MJUvvXhVbz0djJ9B/dw4OmH4IKPctHivPMGfkIInnm7hiffqmZ2QQqfuXkRSfHjm5eqqgq3XjqT0rxkfv3X/Xzrwa18atMC5g1o/vH6DrtZyep5E1/SO15G9TbU9MJQL4CBFEXFUboCvWQZRu1O/Nufpu/1X6PseBrX0o3os9eFZiVHc8+p4nChB/qD03NkTrt6/fzwkUpUVeELt1WQcEZnUWFZ9D7zXbTsmcRd/YWwrtHqaQXNEdrmEGmO0hVkrbqMplNNGMcrMaq3ETj8FoH9r6K4k9BLlqKXrkSbMQ9F1bnlkpkkxjn486tH8fRV8tmbF9Gx7100y0HZ0uWhruSRpCakoaTkYNQdxLn4mnE/n+Xtwrflz+ily3CUjG+01pDP393SP7c2skG7mlUKwsTz6H12PwFXAoo7EcWVOOC/E87470Q7cBnFzbLc9Hjuu3s5D796lBffO8HhE518ctOCQTOuhRD89vmD+AIm/3D9fHQtMnmfWy+dyY7DLTz6+jE+vnHBoK/Vt/YS79JJjnfQ6+2KyDXVcILjZCxPG4orHu+LP0BYJgnXfDHUJGi8nMs2ETjyNr7tTxJ36T8M+zjh64la1hTsfacyczp+MjiNIWpKjt1wQ4izXjzXLczlV88eCO3zyhtY1ts3OYJTNcmekzgrzeBQm05ZfjJW++H+Tr3hf5MfLnOa4HaQkx5PY1svGcku3E4ds3fig1MlLgmrc+hS0HAThh/jxB4c5WtGPS9PjUvGMf9yAntexFp+I2sX5JKR7OYnj+3m33+3nc/dsohdR1vIy4gnJy0eYZkYJ3ajF1WE9QJFy52FUfUeVk/roFb0i8syeL2yDn/AxOnQePrtaro8fj5/62JURcFqqkZJzgnbm+RQctLjuevKWTz4/EEOHu9gZn4yH7luHivnZeMKU2bFoatsuGQ+rdbFVBz5O//fi9t4Z28Bd18zZ9gsbMAwefD5g2zZ18i6hbl86Jq5YZ01unxOFvmZK/jZE3v5/p93ceslM7lmdREAr+04SXlByoiy+rHE6u3AbDyKc/mN53ycoqg4SpajFy/DrN2Fb8eT9L3xG5Sdz+Bcej2OWRdA/57Tie7WC4DuQvPZ2yiG23PqD5j85LHddPT4+epdS8ke4ndlNh5BeLswTuxB+L2D5hOOl+ixO/VOdGZdccbhKF+Do3wNwvBhnNiDUbWNwLH3CBx8A5zx6CVLcZSuZP3yBSTGOXjwuYM88NAOPubfQ41ayI0Xj2125VjoefMIVNkdoxV17H+/ZuNRvC//DOFpx+qsj0hwKs54fY4UvXAhjoXrEb3tiL4e+9/UdtLOWhm+4b9R0VDcCaFgVS9dhnPxtec8lkPX+OD6OcwrSuPB5w/yrQe38uFr57JibjYAb1TWsftYK3ddObKKmLHKTInjmtWFPLu5liuWFzAz//R1U0Orh7zMeBRFsRMW/Z2eJ0IwESC6mvHueBqro5G4Df+Imhq+hmpqYjqO+VcQ2PsSZsW1aMNU24m+iWtsORTFlYDV1TTkdbw0cjI4jSFqSg74vfadnzPuJC+fnc3vHYd5d38jLodGatLpEl7R24WanDXRyx214BtWUYIfcDMzPxmroS4inXrBvgDBEXdWx16AsrwkGgc2lvLZJTETNUoG7DbvovHohBzLrDsAgb5RlfQO5Fx8DYF9L+Pf9SzuSz7K7MJU7rt7BT98pJL//NMuhBChAdpm41HwecJW0huk5Z6ed6qWn774WTQzg5e3n+Tg8Q4yUty8vO0kF1XkhzLkZnMVWt6csK5lKBcuzsPl1MhNjw/NCo2EtJUb8Bx9nU/PbeAHx1L55m/e4/q1JVy7pnhQ4NnV6+enj+/h6MlObr64jA1riyPyd5aXkcB9dy/nN88d5JHXjlFV38VVKwo50djNB9fPDvvxIs0u6RXoA0p6z0VRFPSSpWjFSzCPV+Lb8RS+Nx7Ev+Pp0/vuorHnVHeimHbJ41Djfywh+NWz+6k61cWnblw46EJ3oGCHbywD4/guHOVrw7ZGy9M2IZ16z0XRXThKV+AoXYEw/Jin9hGo3oZRsxPj8NvgcLOseAnZF83h0XerSUroJW/xmoiX8w6k5c8lcPA1rNbaMVWACCEI7HsZ3zsPoySmo5evxTj6DlZvB2p8aljXanW3hEbgRJKiu3Cvu2vIrwkzgPB57P/19diVUT4PwteD6Ov/f58Hq7MB35Y/o+XPR8s8fynuirnZFOcm8T9P7ePnT+7lsqUzuHzZDB5+5SjzitO4vL96J5KuW1PMm5X1PPzyEe794PLQa3pday+LyzIQlmFfQ07kntP+zKnv3b8gvJ24Lv4wen85ejg5l15P4ODr+Lc+Ttz6zw39IH9vVINTNb0Ao+o9eh//Js6lG9FLl486ISDJ4DSmqMl2CZnobIQzglOXU2PFnCze3ttAbnr8oO6aoq8LJUzlk5EUvLs2I64PRUlmblEq5oFTOEpH3158pNTEjCG7yJXlp/DOvsZQcBqNsl4lLgnR1z3uu+EjYdTsAIc7tH9ptNT4VBxzLyGw/zWcyzahJmWSkx7Pv9y9gp8+tpvDJztZOtu+QWLU7gRVQy9YFM5/Amp6IeguzMYjOMrXhD4/pzAVp66y51grp1p6cPe33gewPO0IT3vE9psOFGxiFGlqYgZ6+Rqyq7fynQ/dysNv1fPkW9W8e6CRD10zl9mFqdS3evjhI5V09Pj55KYFEV+X26nzqU0LeDEvmUdfO8auI3bn5mBmYTIxqrehpuSOuixOURT04iVoRRWYJ3bj2/4UZv0hu4wwwn/fQ3K4wfAR79Lx9J295/Sx146x7VAzt19WPuzvSQiBUbMTrWAhVttJjKptYQ1ORU8bagQuYsdK0Z3oxUvRi5ciTAOzbj9Gf6Ca27eFzyaAQGFGxZrzP1kYDZx3OtrgVAT66Hv9NxhV76EVLSHuso9h9bRhHH0H43glzrmXhG2dwjIQve0Tkjk9F0Vz2LPVzxN4C5+Hnj/9E75tjxN/zZdG9NxZqXF8/QPLePz1Kl547zhvVNbhdGh8dMO8CRmX5Xbq3HxJGQ8+d5B3DzSyZn4unr4AXR4/eZnxof2OExmcKs64/gaPnTgWXxvWc2og1Z2Ec/E1+Lc/idlUNWSTQ+HrQR3BNIJIcS65DjUhDd+uZ+l7+Weoqfk4l16PPnN1xEvdpxIZnMYQdcA4maH26q1bmMvbexsGl/RaFqKvO+bHyMDpN4xUxcOPv3ARcZYHj8+Dmh7+ZkihYyamhzpCDlSWb79wz8g6IzidoFEy0P/mIUTE73IKy8Ko3YleuHhcreWdFdcROPAa/srncF94NwCJcQ6+cudSTrX0UJLbn6ms3YWWNzes5X9gz8rVcsrP2nfqdGjMLU7j9co6DNPig1fPCe2pNPtHDUSiU280OSuuxTjyNu6at/jEDTewbmEuv3/xEPf/cQer5+ew+1grDk3hq3ctHTYjFm6KonDN6qL+zMJeKmZljXtv60Sz+rox6w/hrLhuzFlmRVHQiyrQChdjntoX0YYt51yH7kIYPhLi9LP2nL626xTPv3ucy5bN4OpVhcM+h9VRh+hqRF98NVZKDoGDbyACfWEpUxaW2R/IRDdzOhxF09ELF6MXLkZcaGLWH8Ko3obiSpjQZjNg3xxUU/Mw6g7grDh3CepAZnsdfX/7KVZnPc5Vt/af1yqqMx4lMQOzdheEMzj1tIMQKBHs1BtOiisBZ8V1+Lc+itl4dMQ9EnRN5fbLy5lTlMrDrx7l5ovLztkpP9wuWJTHK9tP8uhrx1g6K+t0M6T0hKjNvddy56A43LhW3xbR4zgXXU1g3yv4tj5G/IZ/OuvrUS/rVXUccy5Cn3UBRtV7+Hc+S9/ff4Gy7YnQdo9oNWuaTGSuOYYooXEyQw9anlOcRsXMjFCGCuy7RAgRkT2bkaAkZSJ6WkhwO7Da7f2zkejUG6Qmpp+15xTs+bGfunFhaP5iaHDzBI2SgYGzTiPbFMlqOobwdo25pDdITczAMfsiAgffwPK0hz7v0NVQYGp1NmB1NoS9pDdIyynHajuB8HsHfX5RWQaGaVGck8QlA8ajWE3VoGioGUURWU+0aOkFaEUVBPb+DWH4WVSWwb99dDXXrCpi64Em0pNd3PehFRMWmA40rziN73/6Ar581/jOt2gwanaAsNDLRlbSey6KoqAXLMQxzr+7MR/f4QLDR4LbMahb756qVv7w4mEWz8zgritnnTMIN2rskl692G4UhBmwu36HgejtsN+7EmIzOB1IUTX0GfNxX3g3rpW3RGUNWt5czIbDI5qvCxA49h69T3wb4eshbsNXcS25PlReGMzyGyfDe/PE6rbfa6OdOR0N58KrUOKS8b336LAzvIdTUZ7Jf3x8DSsnuELEHi0zi7YuHy+9d5z64BiZzPioBadxV3+BuCs+GfESVsUZh3PJBsxT+zDO6GAthLBHAkYxOA1SVBVH+Rrib/3/cK//PIo7Ed8bD+J5+Kv4974ctZuWk4UMTmOIoukoiZlYXUM3yVEVu5viwBfCaL0QjZWamBFqBW61n7I/F8Guckpihr2/5IwGCYqisHJudmjfkAjuOZ3gUTLAuMfJnE+gZoddZlu0eNzP5VxyHQhr2FmbRu0ugMgFp7mzQQjMpsGjVJbPyaI4N4m7r5mDqp6+2Dabq1AzClD0yZXBGwlnxXWIvm4Ch98C7NL/2y8v5/5PruFf715BZkr0GhE5dBWHPvlKmIzqbShJWagZ4R8FMeF0F5gGiW4tlDk93tjNz5/cS0FWAp/ctADtPOXGRu0O1KxS1IQ0tNzZKHHJGFXbwrK84HaLyRTIRJOWPw8CfVgtQ8+5DBKmQd/mP9L3ys9RMwqJv/nbQ+7/04uXgunHPLU/bGsUPZGfcRpuisOFc+lGzPqDYf1ZRNqcojSWz8nir1tqOVDbjq4pZKa4Q9cTqntirwknsvmPY/7lKAnp+N57ZPANBcMPlgGu2JmrbTfOW0b8jd8g7tqvoCZm4Nv8Bzx/+kf8lc+HOrpLg8ngNMaoKTlDzjodzungNPbLeqF/D6inDSEsO3MaoU69A48HDLnvdKDQbKwJ3BNwOjiNXOZUCIFRuwMtf15YAm81ORt91loCB17H6u086+tG7U7U9IJQZ+Zw07LLQFExGw4P+nxqootv3rNy0OBzISzMpuoJ2W8aDVrubNTsMvsNzjo9ey8zJW5Cm7VMFcLnwTy1v7+BxeTvsqg47BsyKS6BxxugvdvHjx7dTbxL5wu3VeB2nru0zOrtwGqqsoMY7EyAXrIM43hlWO76WxM443QqCO47PTNbNJDlaaf32fsJ7P0bjoXrid/4NdRh5o1qeXPA4T7d8CoMgpnTyZANH8gx71I72Nn62Kizp9F022XlWJZgy75GctLj0VT19DVh/ORIWIyFojtxLt+E1VQ16Pw93Ttk4pIMI6UoCnrhIuJuuJe467+Gml6I790/0/PQV/DtePp09Z4EyOA05qjJdnA60hfI08Hp5CnrxTIRvZ1Y7afQUvMjeiEYfJMcqmPvQMI/8aUgp8t6I5c5tTrqEZ2N4y7pHci1ZCOYAQJ7Xhz0eeHzYDYcQS9aErZjnUlxxqFmFJ6173QoVmcDBLxTbr9pkKIodva0uxmjJjzZrOnMqN0FloljhF16Y15/h+Bkl6Cr18+PHqnE6zP44m0VpCWdv3twqAqiZOnppyxdCYYP4+SecS/vdOZ0cgUy0aLGJaOm5WPWHxzy68ap/fQ+9g2stpO4r/g07nV3hebtDkXRHOiFizBqdyGENezjRkP0tKDEpUy6ShVFc9jBTnNVWIP1SMtOjeOqFfae8bx0OyAT3i5QdYjCbOWJ5Jh9IUpKLv6tj4duzkajseVoKYqCnj+X+A3/RPym+9ByyvFve5yeh/4R39bHsCK8zWuykMFpjFFTciDgHfE+xFAJx6Qp67XLfazuFsz2UxHdb2ofb2SZU3y9E363TXEnobgSMY6+G7aLgzMZNTsAQtmPcFBTc9FnrsK/75VQZ0DA3osmrIiV9AZpubMxm44hrLM7kA5kNVUDoE7R4BRAL16GkpKDf9dzYbvjb/V2YJzcG5bnmkyM6m0oCWlT5nxR+oPTJKfA6zM52ezh0zcupDB7ZCVvRs0Ou8Q57fR4DC1/DrgSwlLaa3na7GqVCdxKMdlpefMw6w8Peu0TwsK381m8z/0nijuJ+Bu/gWPmqhE9n160BOHtxGquCcv6rJ7WSdMM6Ux2sJODf9vjEXs/joTr15WQlepmTpGdIbe89tz7qVD9cS6KquFacTNW+0mMY1uA/h4sENGZ5uGk5ZQTf82X7NL7ggX4dz6L56Gv0Lfl4bP6akw3MjiNMQM79o6E8HaBokEMljEMRUmyg0WruQp8nojuNwVQEtIA5fyZU59nQjv1gl0m51pzB2bjEQIHXovIMYyaHajZZcOWdo2Vc+lGMHz497404Fg7UeKSI35xr+XMAsOP1XrinI8zm6rA4UZNCd8g8FijqCrOxdditdQMm1EZKbPtBN7XfoXnoa/gfe77mGG6YJ0MRKAP4+Re9JIpNJPOYQenKf1NRD9w9WwWlo1sf6cI9GHW7UcvXjroIldRdRwly+xsm3n27NTRED3Rn3E62Wj5c8HwhYJJ4fPgffHH+Lc+il62ivibvoE2ivdUvagCFCVs2UKru2XS7iFWVA3X8pvskUnH3ov2ckYszqVz/yfWckX/jFXRH5xOB3rZCtSMInzbnkCYxqTInA5Fyywm7qrPEn/bv6OXLCew50X6Nj8U7WVF1bjehX/605+yYcMGNmzYwAMPPADA5s2b2bhxI+vXr+cHP/hBWBY5nQSDU9E18uBUiUuaNBdUwcypcdzu+BjpzKmi6SjxKUOOkxkoWh3e9NkXos2Yj+/dvwzqgBsOlqcdq7kqrCW9QVp6AXrJcvx7/4bw9yIsA+PkHvSiioifi1ruLICz9p2eyWyuQssqjc6MyQnkmLUOJS4Z/66/jvp7hRAYJ/fS+9z36X30XzGq3sMx52JQVIya7RFYbWwyju8GM4A+VUp6OZ05XVKcxL0fXM6lS0b+Wmuc2AOmMaikN0gvXQEBL+apfeNan+Vpm3R7E6Pt9L7Tg5gttXge/xbmiT241r0f9+WfHPWIH8WdiJYzC+P4rnGvTQjLvuEwSTOnAPrMVfZewG1PnLcyJ5YMvIE0nYJTRVFxrbwV0d1M4ODrkzY4DdLSZhB3+SdwLLgS48jbWF3N0V5S1Iz5qm3z5s289dZbPPHEEzz55JPs27ePZ599lnvvvZef//znPPfcc+zdu5fXX389nOud8pSkTFDUEWdOLW/npGmGBHZnPMWVaA+nJ7KdekPHTExHeGIzOFUUBfdF94Bl4Xvrd2FtxhC8Gx6J4BTAuWwj+L34976MWX8Y/F60CJf0AqgJaShJWefcdyrMAFbr8VEPrJ+MFN2JY+F6zJN7MVuPj+h7hGkQOPwWvY99A+9z38dqPYFz5S0k3vXfuC/6EFru7FBJ+HRgVG9DiUu2u0FPFf2ZU4diUD5jdD0JjNqd4EoY8uehzZgPzjgCVeO7eSF6WmXmdJRUdxJqegGBA3+n96l/B8sg/oav2+NQxljGqRcvxWo9EeqiP1aitxMsA2WSZk6hP9hZcTOiq5HA4bejvZwxmU7BKYBWuAgtdzb+HU+Htm8pMdStdyycFdeBquLf9Uy0lxI1Yw5Os7Ky+NrXvobT6cThcDBz5kxqamooLi6msLAQXdfZuHEjL7zwQjjXO+Upqo6SlDmKst7uSdMMKchuimSAMx4lPjXix1MT0kdQ1tsbtdJoNTkb14qbMGp3YlSHr7GNUbMDNSUXLTUyNwC0zBK0ogr8e17EOLoFNB19xsKIHOusY+eUYzYcGTaYt1pPgGVOmf2D5+Ocfxk43Pgrnz/n44TPg2/Xs3j+9I/0vfYrEAL3JR8l4a7v41q6MbRXRy9ZhtV+atiZy1OJMPwYxyvt/btTKMsezJyKgO88jxxMWKb98yiqGLJ7uaI50IuWYNTuGHN2SZgB+yJ6Egcy0aLlz0P0tKLlziL+5m+j5ZSP6/mC/QjGmz0NzhOfzJlTAK14id0FfftTk24WpRAC4e2aND1IwkFRFJyrbkV4O/HvexlUDSZZQ64zqQlpOOZeQuDQ21jd0zN7eu5e8ucwa9as0H/X1NTw/PPP84EPfICsrNMjJLKzs2lsHPlYFICMjNi/45GVFdlMpZE5A9PTPKLjeP09uHMKIr6mcDIzcuhtqcGVXUh2duRfRFuz8+g6sZvMzMQh7y4LI0C36ScxPZ20KP0cxeW3cKp2K4F3/kjO4lVocaP7Ozjz92/2eeiuO0DK6o1kRPDf1Hf5ndT99usEDr1B3MxlZOdPzIVJ16zFtBx9hzRHL4603LO+3llzil4ge+5i9OTJ87cxdkloy66i872/knrN3ThSBg+FD3Q00vnes/TsehUR6COutIKU1Z8lrmzJkH8TgWUXceKdh3C17Ce1fNZZXx+pyfC65Dn0Lj2Gj4ylFxM/CdY7Un41nV4gKU4haRT/Lm/tXnp8HtIXryNxmO/zLLmYxqPvkOg5TnxZxajXFmhvoAdIyc0f1drCZTKcl8MxrrgTb9k8EhdcGJ7RZ1lJnEjPR63fQ9alN435aXqaeugFMoqKcE7iny+A98oPUv/Qt3GdeIeUVddPyDHDcU5afR56LIPEzCxSJ/nvYFSyllO/bxneYzvQElIn5Loy0ozL7+D4wddRD/6NrOs+EbV1ROu1cszBadCRI0f4xCc+wVe/+lU0TaOmpib0NSHEqEtNWlt7sKzYnTOVlZVEc3NkWz0bcRkEThygqanrnD8/IQRGTwc+JS7iawqngDMVACsxd0LW7VeTEIafppP1qO6z/9Cs3g4Aeg0dI4o/R33dh/A/8W3q/vpr3Jd8ZMTfN9Q5GTi6BSyTQPbCyP6MnXloMxZgntqHlRfhYw1gJtjt85v378Ix+4Kzvu6tPoASn0pbnwPFN3n+NsbDmnkpvPccDa89jnvd+wEwG4/i3/2CvX9UUdFnrsG5+Gq0jCI8gKelZ5hni0PNKKJz7zsEZl4+pvVMxGtlOHh3vQmuBHoSivBMgvWOlOWxs5pdbZ30jeLf1bfrbdB0epPL8Q7zfSJ5JjjctO58A0/S6KsTjDq7/LxHJIxqbeEwWc7L4WmQu4y+1t7wPWXBYrx7/0bTqSYU59hGkPjqTgLQEYhDmdQ/XyCxFC1/Hm1vPYavYPWo9/KOVrjOyWClS6/lIjDZfwejpFRsgmM7EI74Sf73HeTEMediuitfwZp3dVQajUXytVJVlXMmI8dVw7R9+3buuecevvKVr3DTTTeRm5tLc/PpFHRzczPZ2dnneAZpKPY4mb7QmJhhGT4w/ZOurDdY9hPpZkhBwSHvYpjSXuGz3+SjPdJAyyzGufgaAofeOOeg9ZEwanZMSOdcANeqW1GzSie0mYyalg/O+GGbIllN/c2Qpng7/YHUxAz08jUEDr5O4Mhmep/6Dr1P/TvGqf04K64j4X3fJ+6yj6FlFI3o+fSS5ZiNR7F6OyO88ugRpoFxfJfdlfYcMyEnI6V/zynGyMt6hRAYtTvR8uef84Jc0Z3ohYsxaraHZgyORmjGqWyIFBP04qVgmeMaISW6W8GVEPFAbqK4Vt6C8Hbh3/u3aC9lxKzQ3PvJnzkcLS2zGMfCq+w98VOEc8kGgDE1O5zsxhyc1tfX85nPfIbvf//7bNhg/wArKiqorq6mtrYW0zR59tlnufjii8O22OkiNE7mPB17T884nVzlG2qSXfqtphec55FhOl7/HafhOvbGUoc35/JNKMnZ9L3x2zHvdxFmAOPEbnsP3QR0cdaySkm46ZsTus9FUVR732nj2U2RhM+D1dkwbfabDuSsuBYMP31//wVWbweude8n8f3/jWvVbaMeJ2Q30hJh6eQZq8xT+8HvxTGFuvSGBPecjiI4tdpPIrqbR9RETS9biejrxmw4NOqlWf0N6pTE8I64ksZGyym359eOY6SM1dM66febDqTllNs9FSqfD10jxLrgNaEyRIXYdOBe937cF3wg2ssIGzUxA8fsiwgcfOO8EyemmjFfuf7617/G5/Nx//33s2nTJjZt2sTjjz/O/fffz+c+9zmuu+46ysrKuOaaa8K53mlBTe4fJ3OepkihF6JJljnVChfhvuJTobb4kRZsujFc5pQYCk4V3YX7onsQXY34dzw1pucwTx2AQF/EuvTGCi13NlZ7HaJvcGlqcD6nljX9glMtvQD3JR/FfeWnSbjjfruL5xgzGWp6AUpS1pTu2mtUbwOHG61gQbSXEnaKqoGqwygaIgV/1/oIum7rhYtBc2JUjb6Jm+hpQ3Elhpo2SdGlqBp6UQXm8d0IyxzTc4jultCouKnCtfIW8Peet9FcrAhdE8ZPrmtCaXjOpRtACPyV0yt7OuY6pvvuu4/77rtvyK89/fTTY16QFBwno523Y+9kLeFQVA3HzNUTdzx3Emj6sB17YylzCqDPmI9jzkX4K59HL1uFllk8qu83anbYF9wz5kVohbEhNO+08Uio4yTY800BtKySaCwr6hxzLgrL8yiKgl6yjMD+VxB+75j3osUqYZkYNTvQi5agaI5oLycyHK5RZU6Nmp2o2WWoI+iirjhc6IWL7NLeC94/qioNq6c1tN1Cig168RKMI5sxG4+i580Z1fcKIbB6WtAKJqZb+0TRMorQy1bh3/s3HIvWx3wX3NOZ09hvLCqNjJqUhWPOBQQOvo5zyfWjroCarKZO3/wpRFE1lOTMEZf1TqY5p9GgKApKQkZon9OZhL9/z2mMBKcArtV3oLgT6XvjwVHdyRbCwqjdgV64eOpecPfTskpB1c6ad2o1VaGm5MbU73Oy0kuWgWmMay9arDLrDyF8Peily6O9lIhRdBciMLLtAVZPG1ZLDXrxyCsu9LIViN4OzMZjo1qX8LShyP2mMUUvWASqNqbSXuHrAcOPmjT1RgO5VtwEph//zmejvZTzEt4uuyJhiu2fn+6cS64Hy8Jf+Vy0lzJhZHAao9TknPNmTsUkzZxGg5qYHtrndKbQfpIoN0QaSHEn4lr3AayWGgKjaMhgNVUhvF1TvqQX7KYsalbpoOBUCIHZVDUt95tGgpZTjuJOmpKlvUb1NtDsxj5TlaI7wegb0WODQYlesvQ8jzxNL1oCqj7q+cxWT1tUuk9Kw1OccWh5czFrd436e0W3XZWkTKE9p0Fqah6O2RcS2P/qeeelR5vwdsnrwSlITc5Gn3UBgQOvhaZLTHUyOI1RaoodnAox/Fgd4e0CZ9yUz5CFg5KYfo5uvR5wxKGosfXnoJetRCtagm/r41hdTSP6HqNmB6gaetHUveAeSMspx2yuDjWPEp52hLdzWu43jQRF1dCKlmAc34WwjGgvJ2yEsDCqt6MXLT7d1XYqcrgQI9xzatTuREnOQU3NH/HTK844tIKFGNXbzvleNZAI9IG/V5b1xiC9eClWZwNWR8Oovs/qtqc0TLU9p0HOZZsAgX9HbG9Zs4NTWUk3FbmWbQTLnDT7n8crtq7GpRA1OQcMH8I7/BgH+4VIbnwfCTUxA9HbMeQFtvD1orhiJ2sapCgK7gvvBlWl783/O+/FnxCCQM12tPx5UR+LM1G03NlgGZgttcCA/aYycxo2jpJl4Pdi1o2+K2usMhuPIrydEzr+KBoU3TWiUTLC34tZdwC9ZOmoxy85ylYgelqxmqtH9Phg10lVBqcxJ9gIyzg+utLe4I3fqZoNV5Myccy7jMChN0OzRGORvCacutTkbPTytQT2/31Kj3cLksFpjAqNkzlHaa/wdsX8Bv1YoSRmgBAIT8dZXxO+npjdn6gmpuNadSvmqX0YRzaf87FWRz2is3FalPQGaTnlAKHSXqupClQNNaMwmsuaUrSCBaA7p1Rpr1G1DVQdvagi2kuJLIdrRCOpjBN7wDIHNRYbKb14KSjaiEt7RXCMjNxzGnPUpEzU9EKMUZb2Wj2t4HBDjL6PhoNz6fWg6vi2PxntpQzLkpnTKc3Ongbw75762VMZnMaoYHB6rnEywts1bedZjVZw2PuQ+059vTEbnAI45l+OmlNO3zsPhTo0D+X0GIjRX2BOVmpcMmpKLmbDYQDM5mrUjCJZ6h5Giu5EL1iEUbtjxKWbsUwIgVGzHa1gwZTrQHwmRXeNaJSMUbMTxZ2EljNr9MdwJaDNmEegauuIzg8rlGWTwWks0ouXYDYcOWtE17kEx8iMNus+majxqTgXXolx9F3MthPRXs5ZhGnY5fIyczplqSm56DPX2Pufz3EtOBXI4DRGKYkZoGrn7NgrvF1yntUInWvWqfB7Yjo4VRQV98UfhkAfvs0PDfs4o2YHalbZtGk1HqTlzsZsPIKwTMzmarnfNAL0kmUITztWS020lzJuVnM1oqcVxxQv6QVAP/8oGWEZGCcq0YoqxrzvXi9biehuxmo9ft7H2l3TFZRp9jo1WejFS0FYGCd2j/h7rJ4WlCnYqfdMzorrwOHGv/XxaC/lLLJB5vTgXLYRjACB3S9EeykRJYPTGKWoGmpS1rBlvcIy7XJUmTkdkeBd+qG67cXqntOBtLQZOJduxDi2BeN45VlftzztWM1V06qkN0jLnQU+j505DvTJ/aYRoBdVgKJOidJeo3obKNq0qDBQHOfPnJp1h8DvHVWX3jPZpb3KiEp7rZ42lPgUOe4iRqlZJShxKaMaKWN1t07Z/aYDKe5EnBXXYNTuxGyqivZyBhF9crTgdKCl5qPPXI1/3ytYfd3RXk7EyOA0hikpw4+TEf0npcycjozSvx9mqFmnwucBZ+xmToOcSzagpuXbzZH83kFfOz0GYpoGp4B/z4sAqNml0VzOlKS4E9Hy5kz64FQIQaB6O1r+3OkxqF53njdzatTuAM2BPmPhmA+jxiWj5c3FGEFpr/C0yU69MUxRVPTiJRgn9tilouch/N7+7stTs1PvmZwL16O4k/BtfSzaSxkkmDlVZVnvlGdnT/0Edr8Y7aVEjAxOY5ianIPVNfQ4mVAJh8ycjpiamH5W5lQYfjADMV3WG6RoDtwXfRjhace3bXBZkVGzAyUlFzU1L0qrix4lOQfFnYTVeBQccagpudFe0pSklyzDaj8V090qz8dqO4noapzyXXqDFN0FZgBhWUN+3d5/uxNtxoJxj9TRS1fYY0ja6875ONHTGuoBIMUmvXgJBPow6w+e97FWTwtgN1OaDhRnHM4lG+wmhXUHor2cEFnWO31oaTPQy1bi3/fyqPaGTyYyOI1hakoOGH7EEEN35QvR6CkJ6WdlToW/1/5ajJf1Bmm5s3DMv5zA3pcxG48CYPZ5ME8dwFGybEo3pBiOoij2SBlAyy5FUeTLWiQEy2Anc/bULjtVpk2FgeJw2/8xTPbUaj2O8LSNq6Q3SC9dDpy7tFcIgeVpC/UAkGKTNmM+aM4Rde0V3cHgdPr8Th3zL0eJT8W39bGYaRInExbTi3PZDRDoC1WMTTXyKi6GnWucjCzhGD01MeOsbr2izwMwKTKnQa5Vt6IkpNH3xoMI08B7bAcIc9pccA8lWNormyFFjpqUiZpRTGBSB6db0fJmo06X7RD92dDhSnvtGw1KWPbfqvGpaLmzMKq3Dv8gnwcMv8ycxjhFd6HNmI9Ru/O8wZfVbVcjTacbDoruxLlsE1bjUcwTZ/eAiAbL2wWa0x7pI015WnoBeukK/HtftremTTEyOI1hoeB0iI69pzOn8i7ZSCmJGeDzDNqvKfyTLzhVnHG4L7wbq/0U/srn8Bx6DyUuGXUaNwLSZsy3/z9vTpRXMrXpJcuwGo9hDVHNEevMjjqs9rppU9IL/WW9AMPMOjVqd6LllIdtXrZeugKr7SRWx9Cl38Gbg3LPaezTS5Yielqx2k6e83FWTwto+rSr4nLMvQglKQvf1scRYuiy+Ykk+mecTsfqqenKuWwTBLz497wU7aWEnQxOY5iSkAGqPuSsU+HtAlUH5+QoR40FoY69A7OnvskXnIK9J0gvW4V/x9P0Ht2OXrxsWpezahlFJLzvP9EKxt7URTo/OzsvRlTuF2uMKrvcdDoFp+hOAMQQHXut7has1uNhKekNHa50OQCBYUp7hZxxOmnoRRUA5+3aK3paURIzp937j6LquFbchNV6HKPqHNUCE8QOTqdJRYgEgJZRiF6yHP/el6Zc9nR6vZpMMoqqoiYPPU7G8nahxCXLu2SjcHrW6engVPiCe04nV3AK4Fr3fnC4EAHftC7pDVKTsuTfQ4Sp6QUoSVmTct+pUb0dNXvmtJoDHGpyFOg762uhDt/F4XvtUBMzULPLhi3ttfpfexVZ1hvz1PhU1Kyy896IsrpbpsUYmaHoM9egphfie+9RhBmI6lqCmVNpenEuuwH8Xvz7Xo72UsJKBqcxTunv2Hsm+UI0esE30IEde4N3m5RJmIFW41NwX/QhXAVz0GbMi/ZypGlAUexmQuap/WeNM4plVlcTVmstjumUNQXQh99zatTuRE3NQ00Nb3drR+lKrJZarK7ms74mPG2ganIE2iShFy/Baq46Zxm/6GmdVs2QBlJUFdeaOxDdzQT2Rjc4EN6usJXnS5OHllmMXrwU/56XJtV78vnI4DTGqSk5WJ1NZ+1pkCUco6fEp4KihErL4HRwOlnLox1lq5jxoe+iaI5oL0WaJvSSZWAZGCf3RHspI2ZUbwemWUkvpzOnZwanwufBrDsUlkZIZwr+jIfq2mv1tKEkpE27EtDJKtSh+/jQTX+E4bevRabJjNOh6AUL0QoX49v5NFb//PmJJoRAeLvlNeE05Vy2CXwe/Hv/Fu2lhI18h4hxakoOmH6Ep2PQ52XmdPQUVUOJTxu051T4e8EZh6LKPwVJGgktZxaKO2lSlfYGqrehZhSjJmdFeykTKtQQ6Yw9p8aJ3RHr8K0mZ6FmFhMYorRXeNpkp95JRE0vQEnMwKgZet9paA/xNJlxOhzXmjsg4MO//cnoLMDnAWHKa8JpSssqQSuqwL/nxSmTPZVX5DFOTT67Y699l6wLxS1LOEZLSRw861T09UzK/aaSFC2KqqIXL8E4XokwjWgv57ysnjaspmOhZj3TSqisd3C3XqNmZ0Q7fOulK7CaqgZtoYD+zKlshjRpKIo9Zsg8tX/I0nCrf8bpdBojMxQtbQaOuZcQ2P8aVkf9hB/f6pNz76c7VzB7uv+VaC8lLGRwGuOGnHUa8IJloMbLF6LRUhPSQ005wM6cyuBUkkZHL1kGfi9m/cFoL+W8jBq7pNdRtjLKK5l4pxsinQ4shBnAOLEbvXhJxMprHaX2zzpYTg0ghCUzp5OQXrwETD/mqf1nfc2SmdMQ54qbQHfge/cvE35s0RsMTmVZ73SlZZehFS4mUPkCYogGeJONDE5jnJKYDpo+KDgNvRDJzOmoKYkZCE9raA+v8HlkcCpJo6TNWAC6c1KU9hrV21DTZqCm5kV7KRNviIZIZt1BCPSFtUvvmdTUXNT0gkH7ToW3CyxTZk4nGS1vLjjcQ3btFd0toKh2P4dpTo1LxrnkeozanRh1Byb02CKUOZVlvdOZa9kNCF8Pgf2vRnsp4yaD0xinKCpqcjZiQFlvqIRDdjwcNTUxHUwD4e1vXODrnZSdeiUpmhTdiV6wCKN2Z0wMoB+O1duJWX942jVCClI0HRQNBgSnRu1O0J1oM+ZH9Nh66QrMhiOhTq/B7RRqwvQuAZ1sFE1HL1yEUbvrrL91q6cVJTEdRdWitLrY4ly0HiUxA987D0/o66LwysypBFpOOVrBQvyVzw8523oykcHpJKAm5wzOnAZfiNzyLtlohWad9jdFkplTSRobvWQZwtOO1VwT7aUMy87simkbnALgcIYuVIQQGLU70QsWoejOiB5WL10JiFB2PVgCKjOnk49evBTh7Tzrb11M4xmnQ1F0J65Vt2K11mIc2Txhx7WvCRUUV+KEHVOKTa5lmxB93QQOTO7sqQxOJwElJQer6/Q4mdN3yWRZ72idOetU+GVwKkljoRdVgKLGdGmvUb0NJTkHNb0g2kuJGsXhDmVOrZYahKcdvST8I2TOpKblo6bkYlTZXXuDNwRlMDP56IWL7b/12sFde+3MqdxvOpA+czVqVim+rY8N2UQqEuwGmYly6oCEljsLbcYC/Hsm91gZeSZPAmpyDpgBhKcdGBicyszpaAXv2oueVruDpWmAS5b1StJoKe5EtLw5GLWxGZyKvh7MuoM4SpejKEq0lxM9uiuUOTVqdoCioBVVRPywiqKgl63ErD+I5e2yG9FpTpA3AycdxZ2Iljtr0L5TYRmI3nbUJHmzYSBFUXGtfR/C045/9wsTckw541QayH3h3TgXXR3tZYyLDE4ngTM79gpvF7gSUFQ9msualBRXImhOrJ42hM9jf84pL5YkaSz0kmVY7XVYHQ3RXspZjNqd9izP6VzSiz3rNJjBMWp3ouXORp2gLSF66QroLyUWHnuMzLS+UTCJ6cVLsNpOhMbHiJ52EAJVZk7PoufORi9Zjn/Xc6E915FkeTtlskIKUVNycC6WwakUYUMFp6q8SzYmiqKgJqbbmdNgcOqWwakkjYVeYnd8jbXsqQj48O95CSUxAzWrNNrLiSrF4QLDj9XVjNV2Er048iW9QWpGEUpSFkbVVqyeNrshnTQp6UX2eRPMnlo9/TNO5RiZIblW3w6WgX/b4xE/lp05ldu8pKlDBqeTgJKQBpoDq+t0cCrvko2dkpghM6eSFAZqYgZqZjGBGNp3KoRF32u/xGo7ifvCu2WmTrcbIgVvIARvKEwERVFwlK3EPHUAq6MeRc44nbTU1Fx7D/HxXUD/GBnkHuLhqCk5OBZcSeDQm5itJyJ2HMvTjvC0y+BUmlJkcDoJhMbJ9GdOLW+XfCEaBzUx3W7O4esFkA2RJGkc9JJlWI3HJqR8bST825/CqN6Ga83tdtOmaU7RXWD0YdTstOe9JmdP6PHt0l4T/L0yczrJacVLMesOIPxe2X15BFxLN4IzHt+WhxFChP35ra4mep/+DqgqjlkXhP35JSlaZHA6SagpOWdkTmVwOlZKYgaitwPL22l/LBsiSdKY2Zk4MahZSrQEjr2Lf8dT6LMvwrHommgvJzY4XPa814bDE1rSG6RmlYYypjJzOrnpxUvAMjFO7sHqbkWJT0XRHNFeVsxS3Im4lt2AeWof5ok9YX1us+0kvU9/F+H3En/9P6NllYT1+SUpmmRwOkkoyf3jZAw/+HtlcDoOav8FktV+CpCZU0kaDzWtwN5XGOXSXrO5mr7XfoWWOxv3RbKcN0jRXeDzgLAmtKQ3dHxFCTWlkiWgk5uWU47iSsSo3YXoaZH7TUfAMf8KlOQcfO8+jLDMsDyn2VRF7zP/AUD8xnvRpvm+emnqkcHpJKGm5IBpYLXUAsi24eOgBGedth4HFHDGRXdBkjSJKYqCXrIM89R+hN8blTVYnna8L/4IJS4Z91WfldmcgRwuAJT4VNQoZVcc8y5BzSpFzSyOyvGl8FBUDa1oMcbxSqyuJnmzYQQUTce1+jas9joCB98Y9/MZdQfo/esDKM544m+4Fy19RhhWKUmxRQank0SwY6/RcASQM07HI7jvyWw9Aa54FEX+GUjSeOgly8AyMMJcujYSwvDjfenHCL+XuKu/iCqrSgZRdDs41YuXRO21TkubQcJN35S/mylAL14KPg+ipxVVZk5HRC9ZjpY7G//2J8Z1A884vgvv8/+NmphO/A33Tvj+cUmaKPKqfJJQk/vHyTTawanqlm/yYxVq4ODvRXHK/aaSNF5aziwUd9KEl/YKIeh7/ddYzTXEXf5JtIzCCT3+pBAKTie+pFeaevSChdA/Y12RmdMRURQF15o7Ed4u/Lv+OqbnCBzdgvfFn6CmzSBu49dRE9LCvEpJih0yOJ0klIRU0JyYjUftj+NlWe9YKboLpX8IvdxvKknjp6gqevFSjOOVCNOYsOP6dz6DcexdnKtuQS+Z+GY/k4E+Yx566Qq0GfOivRRpClCccWj5cwFQE2XmdKS07DL08rX497wY6nQ8Uv4Dr9H36v+i5ZYTf/0/o7pl5Zw0tcngdJJQFBU1JRvR121/LF+cxiXUPVIGp5IUFnrJMgh4MesPTsjxAlVb8W97HH3WOpwVGybkmJORllVKnNyHK4VRsLFWcLuRNDKuVbcC4Hvv0RF/j7/yeXxv/hatcBFx134FRfbIkKYBGZxOIsHSXjQnONzRXcwkF9x3KsfISFJ4aDPmg+6akNJes6WWvtd+iZo9E/dF98jOvJI0gRxzLyH+hn+RwekoqYkZOBddjXH0HcymqnM+VgiBb+tj+N79M3rZKuLWfx5Fd07QSiUpumRwOokE3wiUuCR5MTZOwb0yilNmTiUpHBTdiV64CKNmB0JYETuO1dthd+Z1JRK3/nPygk2SJpiiami5s6K9jEnJuWQDSlwyvi0PI4QY8jFCWPg2/xH/zmdwzL0Y9+WfRNH0CV6pJEWPDE4nESUUnMpmSOMlM6eSFH56yTJEbwdWc01Enj/UmdfXQ9zVX0CNT43IcSRJkiJBccbhXH4TZsPhIatMhGXS9/qvCex7Gceiq3Fd9GEUVV6qS9OLPOMnkWBZrwxOxy/UZdCVGN2FSNIUohdVgKJGpLRXCEHfGw9iNVXhvuzjaHJmpiRJk5Bj7sWoafn43v3LoAZywgzQ9/LPMQ6/jXPFTbjW3Cmr5KRpSQank0iwrFfOihu/4PBwmTmVpPBRXAlo+XMjEpz6K/+KcfQdnCtuxlG6IuzPL0mSNBEUVcO1+k5EVyOB/a8AIAI+vC/8EKNmO661d+FatkkGptK0JYPTSUSJT0VJzEBNK4j2UiY9Nb0AbcYCtNzZ0V6KJE0pevEyrI46/K2nwvacgZod+N97DH3mapxLN4bteSVJkqJBK1yENmMBvh1PE+hopPe5/8Ss24/7ko/iXLQ+2suTpKiSwekkoigKCXfcj2PRVdFeyqSnONzEb/gntLT8aC9FkqaU4LzRrq3PYXU1Ddv0Y6TM1hP0vfq/qFkluC/5qMwmSJI06SmKgmvNneDr5eT/fhGruRr3FZ/GMeeiaC9NkqJOtv+aZOSsOkmSYpmamIFWsJCu7S/A9hfAGYeWUYyaWYyWWYyaUYyamouiaud9LsvbhffFH6I44+QoBUmSphQtoxDHvEsxjrxN3NVfRC9cFO0lSVJMkMGpJEmSFFZxV3+RZKuV1qMHsFpqMFuOE9j/KgEzYD9Ac6JmFAwOWtNmDAo+hRmg76WfILzdxN/wddSEtCj9ayRJkiLDdeEHyb/uw7R1R278liRNNjI4lSRJksJK0XTcueU4HTmhzwnLxOqox2qpxWypxWqtJXB0Cxz4e/CbUNPyQ8Gq2XgMs/EI7is+jZZVGqV/iSRJUuQoiormToDu7mgvRZJihgxOJUmSpIhTVA0tvQAtvQDH7AsAe9i86G7BbKnBajmO2VKDeWI3xuG3AHAu24Rj5qpoLluSJEmSpAkkg1NJkiQpKhRFRUnORk3OhjI7CBVCIHo7EH3dqOmFUV6hJEmSJEkTSQankiRJUsxQFAUlIQ3kHlNJkiRJmnYiMkrmmWee4brrrmP9+vX88Y9/jMQhJEmSJEmSJEmSpCkk7JnTxsZGfvCDH/D444/jdDq58847Wb16NeXl5eE+lCRJkiRJkiRJkjRFhD1zunnzZtasWUNqairx8fFcffXVvPDCC+E+jCRJkiRJkiRJkjSFhD1z2tTURFZWVujj7Oxsdu/ePeLvz8hIDPeSwi4rKynaS5CkQeQ5KcUieV5KsUiel1KskeekFIuidV6GPTi1LAtFUUIfCyEGfXw+ra09WJYI97LCJisrieZmOY9Kih3ynJRikTwvpVgkz0sp1shzUopFkTwvVVU5ZzIy7GW9ubm5NDc3hz5ubm4mOzs73IeRJEmSJEmSJEmSppCwB6fr1q3jnXfeoa2tDa/Xy0svvcTFF18c7sNIkiRJkiRJkiRJU0jYy3pzcnL40pe+xN13300gEODWW29l8eLF4T6MJEmSJEmSJEmSNIWEPTgF2LhxIxs3bozEU0uSJEmSJEmSJElTUNjLeiVJkiRJkiRJkiRptGRwKkmSJEmSJEmSJEWdDE4lSZIkSZIkSZKkqJPBqSRJkiRJkiRJkhR1MjiVJEmSJEmSJEmSok4Gp5IkSZIkSZIkSVLUyeBUkiRJkiRJkiRJirqIzDkdD1VVor2E85oMa5SmF3lOSrFInpdSLJLnpRRr5DkpxaJInZfne15FCCEicmRJkiRJkiRJkiRJGiFZ1itJkiRJkiRJkiRFnQxOJUmSJEmSJEmSpKiTwakkSZIkSZIkSZIUdTI4lSRJkiRJkiRJkqJOBqeSJEmSJEmSJElS1MngVJIkSZIkSZIkSYo6GZxKkiRJkiRJkiRJUSeDU0mSJEmSJEmSJCnqZHAqSZIkSZIkSZIkRZ0MTiVJkiRJkiRJkqSok8HpCD3zzDNcd911rF+/nj/+8Y/RXo40jfX09HD99ddz8uRJADZv3szGjRtZv349P/jBD6K8Omk6+ulPf8qGDRvYsGEDDzzwACDPSyn6fvSjH3HdddexYcMGHnzwQUCel1Js+N73vsfXvvY1QJ6TUvR98IMfZMOGDWzatIlNmzZRWVkZ3fNSSOfV0NAgLrvsMtHe3i48Ho/YuHGjOHLkSLSXJU1Du3btEtdff71YsGCBOHHihPB6veKSSy4Rx48fF4FAQHzkIx8Rr732WrSXKU0jb7/9trjjjjuEz+cTfr9f3H333eKZZ56R56UUVe+++6648847RSAQEF6vV1x22WXiwIED8ryUom7z5s1i9erV4p//+Z/le7gUdZZliQsvvFAEAoHQ56J9XsrM6Qhs3ryZNWvWkJqaSnx8PFdffTUvvPBCtJclTUN/+ctf+OY3v0l2djYAu3fvpri4mMLCQnRdZ+PGjfLclCZUVlYWX/va13A6nTgcDmbOnElNTY08L6WoWrVqFb/73e/QdZ3W1lZM06Srq0uel1JUdXR08IMf/IBPfvKTgHwPl6KvqqoKgI985CPccMMN/OEPf4j6eSmD0xFoamoiKysr9HF2djaNjY1RXJE0XX3nO99hxYoVoY/luSlF26xZs1iyZAkANTU1PP/88yiKIs9LKeocDgc//vGP2bBhA2vXrpWvl1LUfeMb3+BLX/oSycnJgHwPl6Kvq6uLtWvX8rOf/Yzf/va3PPzww9TV1UX1vJTB6QhYloWiKKGPhRCDPpakaJHnphQrjhw5wkc+8hG++tWvUlhYKM9LKSZ8/vOf55133qG+vp6amhp5XkpR88gjj5CXl8fatWtDn5Pv4VK0LV26lAceeICkpCTS09O59dZb+fGPfxzV81KfsCNNYrm5uWzbti30cXNzc6isUpKiKTc3l+bm5tDH8tyUomH79u18/vOf595772XDhg2899578ryUourYsWP4/X7mzZtHXFwc69ev54UXXkDTtNBj5HkpTaTnnnuO5uZmNm3aRGdnJ729vZw6dUqek1JUbdu2jUAgELppIoRgxowZUX0Pl5nTEVi3bh3vvPMObW1teL1eXnrpJS6++OJoL0uSqKiooLq6mtraWkzT5Nlnn5XnpjSh6uvr+cxnPsP3v/99NmzYAMjzUoq+kydPct999+H3+/H7/bzyyivceeed8ryUoubBBx/k2Wef5amnnuLzn/88l19+Ob/61a/kOSlFVXd3Nw888AA+n4+enh6eeOIJvvzlL0f1vJSZ0xHIycnhS1/6EnfffTeBQIBbb72VxYsXR3tZkoTL5eL+++/nc5/7HD6fj0suuYRrrrkm2suSppFf//rX+Hw+7r///tDn7rzzTnleSlF1ySWXsHv3bm688UY0TWP9+vVs2LCB9PR0eV5KMUO+h0vRdtlll1FZWcmNN96IZVncddddLF26NKrnpSKEEBN2NEmSJEmSJEmSJEkagizrlSRJkiRJkiRJkqJOBqeSJEmSJEmSJElS1MngVJIkSZIkSZIkSYo6GZxKkiRJkiRJkiRJUSeDU0mSJEmSJEmSJCnqZHAqSZIkSZIkSZIkRZ0MTiVJkiRJkiRJkqSo+/8B7VsMsivIpjsAAAAASUVORK5CYII=",
+      "text/plain": [
+       "<Figure size 1152x576 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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XmDIjMWVGYspMJjGNtPFrMb3WjdVw37usnHJA18c+tybbJKbMSEyZkZgyU4wxjReSnIQQQhQdSU5CCCGKjiQnIYQQRUeSkxBCiKIjyUkIIUTRkeQkhBCi6EhyEkIIUXQkOQkhhCg6kpyEEEIUnZJpXySEmBi27W9lw9YGWrui1FS4Wb10Jovn1RQ6LJFlkpyEEOPGtv2tPLhxD5qm4nXrdIbiPLhxDwBXjLBHnShusq0nhBg3NmxtQNNUXA4NRVFwOTQ0TWXD1oZChyayTJKTEGLcaO2K4tT7vmw5dZXWrmiBIsq/snJPoUPIC0lOQohxo6bCTTxp9vlYPGlSU+EuUET553RMjE7nOU1OwWCQ66+/nqNHjwKwZcsW1qxZw9VXX83999+f/rydO3eydu1aPvzhD/ONb3yDZDKZy7CEEOPU6qUzMQyTWMLAsixiCQPDMFm9dGahQxNZlrPk9N5773Hrrbdy6NAhAKLRKPfccw8/+9nPePrpp9m+fTsvvvgiAF/5ylf41re+xZ///Gcsy+Lhhx/OVVhCiHFs8bwaPnXVaVT6nISjSSp9Tj511WlSrVeCclat9/DDD/Ptb3+bu+++G4Bt27Yxa9YsZsyYAcCaNWvYsGED8+fPJxqNcs455wCwdu1afvSjH/HJT34yV6EJIcaxxfNqJBlNADlLTv/0T//U59fNzc3U1tamf11XV0dTU9OAj9fW1tLU1JSrsIQQQowDebvnZJomiqKkf21ZFoqiDPnxkZo0yZ+VOLOltgjvXEhMmZGYMiMxZSYXMRXj95lteUtO9fX1tLS0pH/d0tJCXV3dgI+3trZSV1c34sdvawtimlZWYh2r2toyWloChQ6jD4kpMxJTZiSmzGQS02gSTbF9n6M13Peet1LyJUuWcPDgQQ4fPoxhGKxfv55LL72UadOm4XK5eOuttwB48sknufTSS/MVlhBCiCKUt5WTy+Xivvvu48477yQWi7Fy5UpWr14NwA9/+EO++c1vEgwGOeuss/j0pz+dr7CEEEIUoZwnp02bNqX//7Jly1i3bt2Az1m4cCGPPvporkMRQggxTkiHCCGEEEVHkpMQQoiiI8lJCCFE0ZHkJIQQ40g8YRQ6hLyQ5CSEEONIoDtS6BDyQpKTEEIUUKLfCBBhk+QkhBAFEk8YdAVjhQ6jKElyEkKIvLMIxZJ0BGNYVnG0XSs2eesQIYQQwtYdThCOylDV4UhyEkKIPDFMi+5QnNgYKu4mykpLkpMQQuRBwjDpCsZIGmNLLhMjNUlyEkKInIsmDLqDccxsrHomSHaS5CSEEDliWRbBaIJQJEG2duMsLBRGPpB1vJHkJIQQOWBh0dYVJRhOFDqUcUlKyYUQIstM06QjMLbCh6FMkHoIWTkJIUQ2xZMm3cEYSTM3WcS0QC39XT1JTkIIkQ2KAuFYkkAokZ3Ch6FMkJWTbOsJIcQYWdgXa7NWkTcMX5krp49fLGTlJIQQY2Ba9sXaaDw/oywcuspE6MYnyUkIIUYpaVh0hqIkk/nba8vRUVbRkeQkhBCjEE0YdIfimHnOFtK+SAghxKCyfbF2JCZIbpLkJIQQmTIti+5wnGiscKPSZeUkhBAizTAtOoOxwk+unRi5SZKTEEKcSjxh0BWKYxRBNcIEWThJchJCiKFZhGIGwXC8aJJCru9RFQtJTmLc2ba/lQ1bG2jtilJT4Wb10pksnldT6LBECZKJtYUjyUmMK9v2t/Lgxj1omorXrdMZivPgxj0AkqBE1mRjYm2uFMHOYl5I+yIxrmzY2oCmqbgcGoqi4HJoaJrKhq0NhQ5NlIiEYdIRiBZlYgJ7FMdEIMlJjCutXVGcet+/tk5dpbUrWqCIRCmJJgw6usc+Sj2XJsiRkyQnMb7UVLiJ9yvljSdNaircBYpIlAZ7Ym1XMFb8BQfFHl+WSHIS48rqpTMxDJNYwsCyLGIJA8MwWb10ZqFDE+OUhUVXKEEwnP+OD9sPtI34axJGge9Z5YkURIhxJVX0INV6IhtM06QzlCCe5/OlaDzJulcO8e6+Vq68ePaIvlZTlAmxepLkJMadxfNqJBmJMcv1xNqhNDQFeGjTPjoCoxt8UfppySbJSQgxoeRtYm0/pmnxwrvH2PTWUUwLdE3hmotnjepxtBzEV2wkOQkhJgwLCIQThKP5PV/qCMR4+Pl9HD4RAKC+2sstl89ncrV3xI81UUrJJTkJISaEfE+sTXlvXytPvnIw/bwfWlTPhy+aiUMfXT3axEhNkpyEEBNA0rToCkZJ5HFibSxu8P+t/4DXtp8AwO9xcNNl8zhtRuXYHtgClDGHV/QkOQkhSlqsp6N4PifWNjQFeHjTPtp7ih5On1HJjZfNw+9xjPmxLcuyD85KnCQnIUSJsghFkwTzOLF2YNGDyjVLZ3LxWZNRspRQJkAVOSDJSYhRkc7oxc3CojuUIBLLX0fxzmCMhzft41BP0cPkKg+fW7sYj5bdVc5EafwqyUmIEZLO6MWtEBdrt+1v5Y8vnyx6WLaontUXzWRyrZ/29lB2n0ySkxBiML07owO4HBqxno9LciqsfF+sjcUNntpykLf3tALg8zi4aeVcTp9ZlbPntO9myZmTEKKf1q4oXnff/3SkM3phKQoEQjE6A/lr3Hqk2e700N5tFz2cNqOSG1fOpczrzMvzlzpJTkKMUE2Fm85QPL1yAumMXkipi7UuS8lLYjJNixffPc5zbx1Jd3pYvXQmy86qz1rRw3CsCVIRIclJiBFavXQmD27cQwx7xRRPmtIZvUB6X6x1eXK/YukM2p0eDjXaRQ91VR4+ccUC6kfR6WG04kkDXKXfwEiSkxAjJJ3Ri0O+L9Zu29/GH18+kC56uPjMyVxz8axRd3oYrXAoBr7S3zqU5CTEKEhn9MKK91ysNfJQ+BBLGKzffIi39rQA4HPr3HjZPBbmsOhhOBNkV0+SkxBiPLEIxQyC4XheXqSPNAd5eNM+2rrtYpfTZlRw48p5BS16kDMnIYQoMt3hBOFo7i/WmqbFS+8d5y9vHsW0LDS1p+hhUT1qgVsHySVcIYQoEoZpFz7E8nCxtjMY45Hn93GwV9HDLZfPZ8okX86fOxP57BFYSJKchBBFLWGYdAVjJI3cvyi/f8AueojEClv0MJx8T+4tFElOQoiipCgQiRt0B+M5v78USxis33KIt3bbRQ9et85NK+excFZhih6GY+YhSRcDSU5CiKIUiCQI5aGj+NGWIA9t2kdbT4ePBdMruOmywhY9DMcwzUKHkBeSnIQQRcXCoisUJxrL7fmSaVq8vO04G984WfTw4Ytm8qGzC1/0MJx8lM8XA0lOQoiiYZgmXcE48WRuVwddwRgPP7+fg43dANRW2kUPU2uKo+hhOLJyEkKIPIonTLpCsZyvDLYfaOOJXkUPS8+czDUXz8SpF6gl0AhXacbEyE2FSU5PPvkkP//5zwG49NJL+epXv8qWLVu49957icViXHPNNdx1112FCE0IkWeKAqFokkCOL9bGEgZ/2nKIN3sVPdx46VzOmF2duycdhqKAx6VT6XeN6OuMCZKd8p6cIpEI//RP/8SGDRsoLy/n1ltvZdOmTXznO9/hgQceYMqUKXz+85/nxRdfZOXKlfkOTwiRR5YF3eE4kWgypzP0jrUE+UOvoof50yq4adU8ygtU9ODQFco8LlxOdcRl6okcb3kWi7wnJ8MwME2TSCSC1+slmUzi9/uZNWsWM2bMAGDNmjVs2LBBkpMQJcy0LLqCub1Ya1oWL79XPEUPqqLg8+j43A5gdH3y8nERuRjkPTn5/X6+9KUvcc011+DxeLjwwgtpbm6mtrY2/Tl1dXU0NTWN6HEnTfJnO9Qxqa0tK3QIA0hMmZGYMjOWmGKxJB3BKL4yN9ksQaiuPvloHd1RHli/g90NHQDUT/LyNzcsYsbk/P4sUzE5dY1ynwOXc2wvu6qmFeXfh2zLe3LatWsXjz32GM8//zxlZWV8+ctf5tChQ32GdFmWNeKhXW1twaJp61FbW0ZLS6DQYfQhMWVGYsrMWGKKJgy6Q/Gs//daXe2jvT0EwPaD7Tzx0v500cNFZ9Rx7bJZOHU1/Tn5UF3to7szjN/nBEy6uwb2BRxpoukKRIvu78NoDfe95z05vfLKKyxbtoxJkyYBsHbtWn75y1+iaScrZVpaWqirq8t3aEKInLIIRZMEc3ixNp4wWP/qYd7c1QyA16WzduVczixA0YOigMepo1e4s7qFmOsy+2KR94ZRCxcuZMuWLYTDYSzLYtOmTSxZsoSDBw9y+PBhDMNg/fr1XHrppfkOTQiRI/bF2gSBcO4S0+ET3fzk8ffTiWn+tAq+eNPigiQmh65SVeamOsuJCewEPBHkfeW0YsUKduzYwdq1a3E4HJx99tnceeedLF++nDvvvJNYLMbKlStZvXp1vkMTQuSAaZp0hhI5e1E1LYtX3mtk45tHMEy76OHqi2aw/OwpeS96SBU8eF2OkV5fypgkpxz63Oc+x+c+97k+H1u2bBnr1q0rRDhCiByJJ026g7GcddLuCsV55Pl9HDie6vTg5pbLFxSk04PboeH3OdDV3G5IxRITY1tPOkQIIbJOUSAcSxIIJXLWUXzHoXYee/EAkZhdZHDJOVO54txpOB357fSgqQplPiduhwrkfqUWT8rKSQghRswCAuEE4UgiJxdr4wmDP716mDd6zpY8Lp0bV85lxXkz8lqJl+rw4Pc48rp9GI9LchJCiBExLXtibTRHL6DHWkM89NxeWns6PcybVs7HL5tPuS+/nR4cukqZ14nLoeZ8pEd/cglXCCFGIGladAWjJJLZf7U2LYvN2xp59o1eRQ8XzmD54vwWPWSjw8NYxWRbTwghMhNPGHSF4jnpKN4VivPoC/vYf8wueqipcHPLFQuYlueiB7dTo8zrQMtxwcOpGIaFYZoFjyPXJDkJIcbAIhQzCOaoo/iOQ+08/uIBwj1FDxcurOO6ZbPyWvSgqwr+PBY8ZCIWN/G6JTkJIcSgusMJwtGBLXnGKp40ePrVw7y+82TRw9pL53LWnPxdqM11wcO2/a1s2NpAezDOL79x1Yi+NpYw8LpL++W7tL87IYpQ6kWptStKTYWb1UtnsnheTaHDGpFE0qAjEMvJ4fzx1hB/6FX0MHdqOR9fNZ+KPBY9OHUVv9eJc4TjLDK1bX8rD27cg6aplHlG/jLsK3NTUemhqzOcg+iKgyQnIUZoLMml94uS163TGYrz4MY9AOMmQSUMk9auSNYTk2lZbH6/kWdfP1n0cNWFM1iRx6IHVVXweRx4XXpON/A2bG1A01RcDm3ETa4Bfv/MDr786YtyEFnxkOQkxAiMNbn0flECcDk0Yj0fL/bkpCgQiRt0B+NUVnmz+tjdoTiPvrCffce6gJ6ih8vnM602P6NwFMDl0ij3OFDzUGjQ2hUd07ZcrjpuFBNJTkKMwFiTy2AvSk5dTW9hFSsLCIYThKLZb9xa6KIHXVPSd5byVfBQU+GmMxRP/z0aqYkwql2SkxAjMNbkMtiLUjxpUlPhzmqc2WRaFt3hONFYdrfxBhY9aHzs0nksylPRg6KA1+3A59bz3iB29dKZPLhxDzHs5DhSSUNWTkKIXsaaXHq/KDl1lXjSxDBMVi+dmaOIx8YwTTqDcRJZniF0vDXEQ5v20tLZq+jhsnlU+F1ZfZ6hOB32nSWHVphy7NQqe8PWBjqC8RF/fS7ukxUbSU6i6BVTddtYk0vvF6Vi+H6Gk4uLtaZlseX9E/z59QYM00JVFK66cDqXLJ6KquZ+9aKqCn6PA0+OCx4ysXheDYvn1Yxq5HpStvWEKKxiq27LRnJJvSgVr9xcrO0Ox3n0+ZNFD5N6ih6m56HoId8FD7lmyLaeEIVVjNVtxZ9cxiYXF2t39oy3SBU9XHB6Ldd9aPaoCwJGIlXw4HZqBemFlwtJU1ZOQhTUeK1uG48M0+4ons37S/GkwTOvNbB1RxPQU/RwyVwWzZ2UtecYSqrgwe/RUVBKJjFpqiIrJyEKbTxWt41HuZhY29gW4g/P7aOlMwLAnCnlfHzVPCrzUPRQ6IKHXFJVRQoihCi08VbdNt7kYmJtIYseVFXB73XgcRa+4CFXNFWRggghCm08VbeNN+mJtVm8WBsI250e9h7tKXoo7yl6qMtt0YOi2OeRk8rdaHmo+iskTVNJJLPfbLfYSHISRa/UCxAKIRcTa3cd7uCxF/cT6immOP/0Wq7PQ9GDriuUe5zUVHpoaSn9F21ZOQkhSlK2J9YmkibPvHaY13qKHtxOjY9dOpezc1z00L/gYaKYWuvH6dCIl/i4dklOQkwg2b5Y29gW4qFN+2juSBU9lPHxVfNzXvTgcmiUeZ2jav0z3rV2hInGzZIelwGSnISYILJ7sdbqGW+xYevJoocrL5jOpUtyW/SgqQq+Ei94OBVNU4jGS3/7UpKTEBNANi/WBsJxHvzLXj440AZAdbmLWy5fwIwcFj0oCrid9lTaUi94OBVNUbN6VlisJDkJUcJM06QzlMja+cSuhg4ee+Fk0cN5p9Wy5kOzcTlzV/SQKnhwlVCHh7GQlZMQYlzL5sXaRNLkma2Hee2DVKcHnY+smMPiebkrelAVBa9Hx+curQ4PY6Vp9srJsqxRTdEdLyQ5CVFisn2x9kR7mD88tzdd9DC7vozPfWwxGNnbWtrd0MHL7x2nIxBjUrmbqy6awbkL6iZkwcOp6CqYpkXSMHHo+RnIWAiSnIQoIdm8WGtZFq9+cIINWxtIGhaqAlecP4OV50ylusJNe3soKzHvbuhg3eaDaJpKdYUbl0vn6dcO43Jocr9tEFpPS6ZI3JDkJIQoftm8WBsIx3nsxQPsOdIJpIoe5jOjbuSzh07l5feO43Lq1FZ6UIBgJEEsYRa083wxSxWExOIGeAscTA5JchKiBCQNi85QlGQWLtbubujg0RcPEIokgNwXPSRNi/pqL5FYMp1YU53ni2nQZLHQeuZRxUq8Yk+SkxDjXKznYq05xsKHRNJerbz6wQnA7vTw0Uvm5CwZpAoeaivdHG8L49T7dp53O7WiGjRZLFLncNES7xBRev3khZgwLELRBJ3B2JgT04n2MD974v10YppdX8adNy7OWRJwOTSqK9z43Q4uWTyVZNIklrAr0GIJA8MwwbLSgyYVRcHl0NA0lQ1bG3IS03ihab229UqYrJyEGIcsLLpDCSKxsd13sYsemtiw9XC66OHy86dz2TnTctLpQUuPtNCgp8fDUJ3nf/vsHhk0OYjUtl6pX8QtueQke9Si1BmmSVcwTjw5ts7UwUiCx17Yz+5U0UOZi5svn8/MydkvelAU+26U3+NAHeRuzmCd52sqGmTQ5CD0VEFEorQv4pbUtt62/a08uHEPnaF4nz3qbftbCx2aEFkRT5i0d8fGnJh2N3Twb49uSyemcxfU8D9vPDsnicmhK1T53VT4nIMmpqGsXjoTwxi43TfRB03eeOXpACha6ZaRQ4mtnDZsbUjvUYO9rx3r+bisnsT4lp3GrYmkyYbXG3h1+8mih4+smMOS+dn/70NVFHweHZ/bATDiuGXQ5OCeenEfwJjfoBS7kkpOrV1R2aMWJccwTLqycL7U1B7moU37ONFuj1qYNbmMmy+fT1VZ9sdbuB0afp8DXR3b5owMmhxIVRW7C0g0UehQcqqkklNNhVv2qMeB1LlgezBOtd8p74aHYVombV3RMSUmy7J47YMmnulX9LDynGlZ7/Ctqwp+nxO3Q4UJO9QitxQFHLpKICzJadxYvXQmD27cQwx7xRRPmrJHXWRS54KaplLmkbsrw4knTLpCMSoqR3+2EIwkePzF/exq6ASgqszu9JDts6XhCh6kSCn7nLpGIBwvdBg5VVLJSfaoi1/vc8HU3RU5F+wvO+dLe4508ugL+wn2dHo4d0ENa5bPxu3M7n/2Dl2lzOvE5VAHxNv7zYhcpM0eh64Smsgrp9tvv33Yluz//d//nfWAxkr2qIubnAsOz8Lqadw6+m28RNLkz683sKWn6MHlsDs9ZLvoQVUVfB4HXqeOogxe8CBFSrnh1FUCkQm8crrtttsA2LhxI8FgkBtvvBFN03jyyScpLy/PS4CitMi54NCyMRiwf9HDzMl+bl41n+ry7P18FextpUnlrvSF0KHIm5HcmPBnTh/+8IcB+OUvf8kf/vAH1J6/iJdddhm33HJL7qMTJaf3uaCuKXJ3pcdYBwNalsVrO5p45rWTRQ+rzpvOZedmt+ghVfBQU+mmtfXUqzt5M5IbTl2lPRApdBg5ldHmc0dHB7FYDI/HA0AoFKKrqyungYnS1PtcsCMYp6pA1XrFckivKBCKJQmERn++lI+ih/4FD5lOYJUipdxw6BrhaJKkYaJrJdVLIS2j5HT99ddz8803c9VVV2FZFhs2bODmm2/OdWyiRKXOBWtry2hpCeT9+Yc7pL+iNvsdEoaSHgwYSTDauof+RQ/nzK/hhhXZLXpw6ip+rxOnPvIXQSlSyg1Hz59FOJak3OsscDS5kdHf4C996UssWrSIV199FYCvfe1rrFy5MqeBCZErwx3SX3HxnLzEMNbBgEnDLnrY/P7JooePrJjDOQuy96KfLnhw6WO6sSRFStmXeqMQjk7w5ARQW1vL/PnzWbt2LR988EEuYxIipwp9SJ80LbqCURKjHAzY1BHm4U37aGzLTdGDAricGmVexykLHkRhOBz2n0tqIGQpyig5PfbYY/zqV78iFotx1VVX8Xd/93fcddddsrUnxqVCHtKnLtYaoyh8sCyLrTuaeLqn6EFRYNW501h13vSsFT1Ih4fxITWYMVTCLYwyelv029/+loceegi/38+kSZN4/PHH+c1vfpPr2ITIicJ0u7YIx5J0BKOjSkzBSIIH/ryHdZsPkTQsKv1OPrfmLK68YEZWEpOigM/joLrCjdtxctaSKD63rj6TT117JgChSOmOzcho5aSqKn6/P/3rKVOmoJV4u3ZRuvJ9SG9ZEIgkiESToyp82HGwjV+v+4BAzxbOkvmT+MiKOVkrenA6NPwex6gKHkT+/X7DDtp6tqCDJbxyyuhvd2VlJTt37kyXj65bt46KioqcBiZELuXrkN60LLqCcWKjuFibNEyeff0Ir7zfCNhFDzesmM25C2qzEpuqKvg9DjxjLHgQ+Zeq1pvwZ0733HMPX/rSl2hoaGDFihW4XC5+9rOf5To2Ica1pGHRGYqSHEXhQ3NHhIc27c1J0YMCuFwa5R5H+mK9GF9URcHn1sfU5qrYZZSc5s6dy5NPPsmhQ4cwDIM5c+YQDodzHZsQ41YsYdAVimOO8HzJsixe39nM+i2H0mdT1eVuVi6ZmpXEpGtKukmrnCuNb36vs6QLIjJKTmvXruWJJ55g3rx56Y996lOfYv369TkLTEwcxdKtITtG31E8FE3w+IsH2Hm4AwBVsbs96LrC+lcPoaoKp8+sGlVUigJetwO/R0eRpFQS/F4HoYm6cvrMZz7D+++/TzQa5bzzzkt/3DRNzj777JwHJ0pfqY1U6B5lR/F9R7t45IV96WaeTodKdZkbVVXQNQXDtHj5veOjSk5Oh31nyVGibW4mKp/bQaiEO5MPm5x++tOf0tnZyT333MO999578ot0ndra7BzKiomtVEYqGKZFVyg+4o7iScPk2TeO8Mo2u+jB6VDRVYVynxO1V4m4Q1PpCMRG9NhS8FDaPC6dtq7Sbf467Fspv9/P9OnT+dnPfsb69euZNm0aAL/4xS+IRkd/m37Tpk2sXbuWa665hu9+97sAbNmyhTVr1nD11Vdz//33j/qxxfjS2hUdUMI83kYqxJMmHYHoiBNTc2eE//jj9nRimlHn584bF1Nf7R3QnTxhmFSVuTJ6XEUBt0ujptw15tZDonh53DrR2OjHqxS7jNb5X//61+ns7ASgvLwcRVH43//7f4/qCY8cOcK3v/1tfvazn7Fu3Tp27NjBiy++yD333MPPfvYznn76abZv386LL744qscXI7Ntfys/+N3b3P3vW/jB795m2/7WvD5/TYWbeNLs87HxMlJBUSCaMOgMxEgamR8wpTo9/PSx9zneFrY7PZw3jc/dcCaTyt1csmQqhmEST/a9JHzJkqmnfGxdU6j0u6jyu6QSr8R5XDrR+AQ9c0o5dOgQP/7xjwEoKyvjnnvu4YYbbhjVE27cuJFrr72W+vp6AO6//34OHz7MrFmzmDFjBgBr1qxhw4YN0lw2x4rhvGe0IxUKXUSR7igeTYyo8KF/0UOl38nHV81nzpSTwztPn1nFDcDL7x2nIxCjttrHsjPrhj1v6l/wMJbx7mJ88Lr0UTcOHg8ySk7JZJJgMJjuEhEKhbBG+bf/8OHDOBwOvvCFL9DY2Mhll13GggUL+pxh1dXV0dTUNKLHnTTJf+pPyqPaPI5eyFT/mJ57dBsup5buNOB0aETjSZ5753jeunNfcfEcKiq8PP7CPprbw9RVe1l72XwuOGPykF/z5s4m/vDcPnRdocLvJBhN8Ifn9lFR4R326zJ1qj+7pGHSGYjhQsHlybwj9K5D7fx6/Qd0Be1D7AvOmMwnP3w6XrdjwOcuq/ax7JzpGT2uQ1Mp9zlxu7I3JiMT4+HveDHIdkxejwtLUdFUu1CmssqLQy+9jj0Z/W3+6Ec/ysc//nFWr16Noihs3LiRtWvXjuoJDcPgzTff5IEHHsDr9fI//sf/wO129xleZllWxsPMUtragiO+U5IrhZpTNJzBYmpsCeJ16yR6baupikJjSzAv8adimlXj5a6bFvf5veGe/6Fnd4ECmqqSNCz734rBQ8/uYlaNNysxDeb9A61s2d7EibYQmqpwyZKpGVXPJQ2TjT1FDxZ20cMNy+dw7oIaouE40fDwFVfV1T7a20MDPp4qeHC4dALdEfL5N268/B0vtExiGmnyCkdihMIJJtfYb8iPHOukbJyOzRjue88oOX3+859n/vz5vPrqq+i6zpe//OVRb7nV1NSwbNkyqqurAbjyyivZsGFDn159LS0t1NXVjerxRebG6wjtQoy82H6wjWe2NhCKJkkmTRKGybrNB7kB0glqd0NHeiuuqszFJT0XZx/atI/jrXZymVHn5+bL5zNpDBdqpcODAPvMCSAaNygb23uyojRsckpt5XV2dnL++edz/vnnp3+vs7OTysrKET/hqlWr+OpXv0p3dzc+n4+XX36Z1atX8/Of/5zDhw8zffp01q9fz4033jjixxYjM15HaOc/qVpsfr+R7lAcsEeUO3WNOKTvHu1u6GDd5oNomorbpdMVjvPI8/uIJ017vAWw8txpXHH+tDHNSJKRFuLW1XZH8pfeOQqAY5Bt4VIwbHK6/fbbeeKJJ7j44osH3XbbuXPniJ9wyZIlfPazn+WTn/wkiUSC5cuXc+uttzJ37lzuvPNOYrEYK1euZPXq1SP/bsSIjNcR2vlOqt3hBPuPduFwaPTebe599+jl946jaSpOXcM0LUKRZPqwusLn5ObL+xY9jJSi2O+U/R4H6gi3vEVp+f2GHQTDCZo77BZyo+ndOB4Mm5yeeOIJAHbt2pXVJ73pppu46aab+nxs2bJlrFu3LqvPI05tPI7QziSpZqOazzDtUeqxhEG5z0l3JJEe8gZ97x51BGK4XTqxuEFHMJY+/3ToKl+8aXF6C2Y0dFWhqsyNy6FKFZ5I03o6fkRiSfCX3upp2P9i/vjHPw77xR/96EezGIoQmRsuqWajRD6eNOkOxtKXYS9ZMpV1mw8Sx14xJQyzz92jSr+TEx0RIj2XIhXA59GprXCPKjHtbuhg644mLKCq3M3FZ9SNuzcRIrf03smpBA37X82GDRsAu0DhwIEDXHzxxei6ztatWznjjDMkOYmiNNaWSJF4kkAogdlrmdL/7lGq4OH0mVW0dEboDifSicmhq/g99n9al54zrc9jD1Y00b/ib8+RDl567zget4NYPMnR5gAPHu0Exme/QZEbumZv70ZipdmZfNjk9B//8R8AfO5zn+P+++9n5kx7T//48eOj7hAhRK6NtprPAjq6o3SHBu8ofvrMqj6JxLIs3thlj7dIleNX+pyARZV/YOLpXzTRHUkMqPhTVYWdhztQVSU9SM7t1Eka1rjrNyhyK7VyCk/ElVNKY2NjOjEBTJ06lRMnTuQsKCHGYjTVfKZlny95M+yuEI4meeKlA3xwqB3IrOihd9EE0Kfib+HMqnR5+OETAZwOrU8R0njrN9hbobt5lKoJva2XUltby49+9CM+9rGPAfDQQw+lWw0JUWxGWs3Xe2JtJtdF9h/v4pHn9/eUlsOiudV87JK5pzxbShVN9ObQVBJJk4oyV7o8vNLvGpf3zwZTDC2ySpWmKigKREp0plNGFy7uu+8+du/ezUc+8hE+9rGPcezYMb73ve/lOjYhRmXxvBo+ddVpVPqchKNJKn1OPnXVaYO+GEYTBu2BzEapJw2TP7/ewK/W76Q7FMepq9y4ci63XrEgo6KHqjIXCeNkNw5dU6nwO6mf5MXt0EjdW1q9dCaGYRJL2I1fo/HkuLh/Npje53+KouByaGiayoatDYUOrSTomjqxV051dXX89Kc/pauri4qKilzHJMSYnapE3sJuwhqKZNa4tbUzwkOb9nGsp9PDtFoft1w+n5oKT8YxpSr+EqQm3GoEQjFWX9Q36fQvlZ9S6+eKc6eOy5VGIbp5TCS6pkzs5HTgwAH+5//8nwQCAR599FH+6q/+ip/85Cd9xrYLMV6YlkV3OJ7RLBzLsnhrdwvrtxwinjRRgEvPmcqVF0wfcaeH02dW8TFN4YOD7TR3RNBUhRtXzhs06fROrsXYMy5T47VF1ngx4VdO3/3ud/nGN77BP//zPzN58mRuu+02vvWtb/Hggw/mOj5RYKV2mJ00LbqCURIZbOOFo0meePkAHxy0ix7KfU5uXjWPuVNHt3vgcmhcfOYUVpx96rlMpWK8tsgaL0o5OWX01q+zs5Ply5enf/2pT32KYDCYs6BEcUgdZneG4n0Os/M9kDBbYgmD9u7MEtOB4138+LFt6cS0aE41X7xx8agSk6baoz2qylzpuykTxUjO/8TITfhtPYBYLJYubW1pacE0zVN8hRjvxnqZtXhYhKJJghmcL6WKHl5697g93kJXuf5Dszn/9NoRj3GRfni28dgia7wo5ZVTRsnp1ltv5W/+5m9oa2vjX/7lX/jTn/7EZz/72VzHJgqsFA6zLSy6QpmdL7V2RfjPdR9w+IR9vjOt1sctq+ZTU5l50UOKQ1co87hwOaUfnsiuVFdygNAf3uad3S0FjCZ3MkpOH//4x5k9ezYvvPACyWSS//f//l+fbT5Rmgp1mJ065zreGrKHCWoK02p8Iz7vMkyLzmCszzDFwQxV9HDF+dPTFx0zpSoKPo+Or2eMgSQmkW2pruQAfo8z3Umk1GSUnD7zmc/wm9/8hgsvvDDX8YgiUojD7NQ5V9KwCEUTgAJJONEeHtHlzXjCoCsUxzjFdORIzC562H7APluqLHNx48q5zBvF2ZLboeH3OdHVibuFJ/KrzOsgljBIGuaI30gVu4ySUyAQIBwO4/WW4LjFHCmFKrdCzHtKnXMFwjEURUVV7NLvSNzA7dIzOO/K/HzpwPFuHnl+H109nR7Oml3NHR9ZRCwy/Nj0/mQAoCgUf8949lA0SYVvfI5qH0pGycnj8bBq1SpOP/30Pgkq1RhW9PXmzqaSadmS78Ps1DlX0jDTRQQKkEyapzzvyvT+kmGaPPfmUV7sKXpw6CrXL5vFBQvr8HkcGSen4QoeSuHNiSh+fo+9fRyKJCZectqzZw9XXHEFK1asoL6+Ph8xjXuPv7CvRKrc8i91zqVrKknDQlXsbg56z7biUOdd9v2lU58vtXVFeWjTXo622J0eptbYnR5qR1j04NBVyrzOQQcASj85kS9l6ZVT6Z07DZucHnvsMb7//e8za9YsGhoa+OEPf8gll1ySr9jGrab2cM8Wz0njrcqtUFLnXB6XTncohmEpoIDHqQ153pXJ+ZJlWby9p4WnNp8serhkyRSuvGDGiPbqVVXB53HgdeooyuAFD6VTgi+KXZnPXjkFwhMsOT3wwAM89dRTTJ48mXfeeYf7779fklMGJld7aekIS8uWUeh9zmUYZrpar77aO8jWmEUoZhAMDz5/KSUSS/LHlw/wfk/RQ7nXwcdXzWfetMyLHhTA5dQo8zpO2baoFErwxfiQuubQEYgVOJLsO+W23uTJkwE499xz6ejoyHlApWDtZfP52aPvSsuWUcr0nKs7nCB8inEBBxu7eXjTyaKHM2dXsfbSuXh7Sr0zMdKCB+knJ/KlwudC11Taukvvjc+wbwH734jXNG2IzxS9XXDGZGnZkkOmadEeiA2bmAzT5Nk3jvCL9TvoCsVx6Cofu2QOn7rqtIwTk6KAz+OgusLdZ6TFqfQfeRFLGPLmROSEqipUl7toL8HklHH7IhiYrMTQpGVLbsSTJt3BGMlhzpfauqM8vGkfR5rt/o+jKXpwOuwtPMco7o4UogRfTFyTyt20leCW8bDJaffu3Zx33nnpX0ejUc477zwsy0JRFN5+++2cBygE2KuYSNygOxjHHOKAybIs3tnbyrrNB4kn7Kq9SxZP4aoLMy96UBWo8DtxO/Ux3ViSNyciX+qrvWzd0ZR+XS4VwyanjRs35isOIYZkYVcjhaNDX6y1ix4O8v6BNsAuerhp1XzmZ1j0oCjgdurUVHro7JCeQ2L8mFrjIxxL0hWKU+l3FTqcrBk2OU2bNi1fcYhxKteXTTO5WHvohF300BkcXdGDrimUe524nBoOXc5VxfgydZLdGOF4a2jiJCchhpPry6anulhrmBab3j7KC+8cw7LAoalc96FZXLiwLqPtDUUBr9uB36OjoEiTVjEu9O5KbhgmZ59uV1R3RZLU1pbZ9/46w4UKL2skOYlRy+Vl01NdrG3vjvJQr6KHKZO83HLFAuoyLHoYS8GDEIXUuys52GetLofGM1sO0tQa5G/XLilgdNkjyUmMWm4umw5/sXasRQ+qquD3OPC4xlbwIESxUBSFqjJnyV3EleQkRm0kl00HO5u6orZswOcNd7E2Ekvy5CsH2bbfLnoo8zq46bJ5LJhemVG87gw7PAgx3lSVuTjRHiGeOPVQzfFCkpMYtUznPQ11NlVR4WVWjX2Ya5omnaHEkP9x9S96OGNWFWtXzk0P9RuOjLQQpa6qpxCiM1g6qydJTmLUMr1sOtTZ1OMv7OOumxYPe7F2sKKHa5fN4qIzTl30MNxICyFKSWWZC0WBtm5JTqKErXvlAM++cZRoPInbqXP1hdO5YcXcQT83k8umQ51NdQdjhONJAqHBz5cGLXq4fAF1VacuenDoCmUeFy7nwJEWQpQaXVOp8rto6YwUOpSskeRUovqf8dxy9cL0Ftpw1r1ygHVbDqGgoKkKsYTBk5sP8fK2RhRFGdVdpsHOphwOlboqL4FgnMFyxzt7W1j3yiFiPdt8K86ewtUXnbroQVUUvB4df892nyQmMVHUVLrZc6SLYKQ0xmdIcipBg53x/Ofj2/jEFfNPmVSefeNoOjEBKFhYJrQHYsyo84/qLlPvsymXQ8Xj0kkkTc5fOHlAYorG7aKH9/aNvOjB5dAo8zrRtdLawntzZxMPPbtL+vSJYdVWeNhzpIv397Uyv95f6HDGTJJTCRrsjMcwzYzuH0XjyXRiAtL3jCzLLlkdzV2m1OdtfPMIScPCoaksPWMyi+bV0N4eSn/e4RMBHty4J/3Oz+vSufbimadMTKqq4Pc68IyxH14x2ra/lT88tw8UZKquGFZVmQtNVXh7d7MkJ1GcBjvjcTm0jO4fuZ06sYRBavGR2hbrla9GdZdpyfwaTptZRXcojtmv8MEwLZ5/+yjPv30svZIq9zlw6CrPvnEEt1Pn9JlVAx4z1Q/P73H0SailZMPWBnRdSZe/y1RdMRRVVair8vD6Bye46dI5474ISJLTODfY/aHBznhiCSOjYXdXXziddVsOYZh9ExIKHGsJomv2ttzkDIoSUiwgGE4QGqRxa3t3lIef30dDk130oKkK1eVuHLr9YhxPGrz83vEByUnXFMq8TtxObchzpVz3/cuH1q4oFX4nSePkNylTdcVQ6qu9vLO3lcMnAsyZUl7ocMZEbiOOY6mzpc5QvM+Wz8KZlQOG3SWTVkbD7m5YMZcbPjS7ZyvQSp/fKCgoQCJp0hWKsXBmZUYxmpZFVyhGMDIwMW394AQ/fuz9dGJyOVRqK08mJrBLx3vffE8PACx343IMn5gG+9ls29+aUdzFoqbCnS4KSZGpumIok6s8qKrCO3tbCh3KmMnKaRwb6v7QroZOPnXVaaOq1oOeBNVTOv6D373NifYwkbhBMmmi6yoep8auhk5uGORrU6uVjkCM2fVlnHNaDbMm930HF40nWffKId7dZyeKMo+Dm1bN48V3jtEdSeDs9ZYpYZhUldkXDB26SpnXiVM/9XuqXPb9y6fVS2fyh+f2kVSMYS86CwF2z8gz51Tzzt5W1l46r9DhjIkkp3FsuN52/e8f1daW0dISGNVzlPucVPhP7vFZljXotlJqteJ26UyZ5KOxI8yeTfu4Yfmc9Lbc4RMBHn5+X3o1tHCm3enB73FwpCnAC+8cx7QsNE3B49LRVIVV502nzOvA63KQ6TZ6bvr+5d/ieTVUVHilWk+k9e5KPpgnnt/Lr9bvIGJYeMZx5aokp3FsJL3t8vEcG7Y24PM4qCxz0RmIkUxaaJrKy+8dZ/70Sl545xjPv30U07LPjD5+xWksmlWJoijsbujgrT0teNw60bhB0jCJxQ2uuXgmS8+qRx9hwUM+fjb5csEZkzNe9YrS178reX/hqP17Wz84wWWLp+QrrKyTM6dxbPXSmQPOlrK95TOS54jGk5R5HbR1RtMdwx2avVr5xVM7eO4tOzHVV3v5+4+dzcrzpqdbEL383nE0zd62q630MG9aBfNnVHKoMTDixDTSuIUoJV63g6oyFy+9c6zQoYyJrJzGsUx72/WXSRVb789xOzWwLMLR5JCfb5gWVeUujraEcGgnVyvBSIJgJEF3zzu95YvqufqimX2KHgA6AjHcLh2HrlLucwIQCMeHfYeYi5+NEKVgeq2P9w+0c7Q5yPS68XnnSZJTgY213DmT3nb9n+9U02v7f07qEP62q08b9LlSjVsXz63hUGMAywJNUegMxoj1rKD8HrvTw2kzKgeNq7rchaXY49LD0SSxhJFx+ftQRvqzEaJUTJ3k44NDHWzd2TRuk5Ns6xVQIcqde1expTo+aJrKhq0NI/ocm0UolqQjECVpWpw+s4obls/Bqam0dEbSien0mZV88abFQyYmVVW4fvkcojGDnYfa2X+sk8bWEOFoUrbhhBgFl1PjnNNqee2DJqxx2mBSklMBZZ4Esqe1KzqgFLt/FVsmn2Nh0R1O9OkobpoWx1pDnGgPp4se1iyfzac/fDp+z+Bzl9wOjUnlLjRF6TX9tl97CiHEiK08dzpt3VH2Hu0qdCijIsmpgDJJAtlWU+EmnjT7fKx/FdupPse0TDoC8T4TazsCMf5r/Q7+8mbfoodlZ9UPOndJVxXKfU4qy5xoqsrTrx3G63EwpcbH9Do/U2p8eD2OnCZqIUrZh86egtup8fJ7xwsdyqhIciqgTBJFtmVSxTbU51y7bBbxhElbV6zPxNr39rXy48e2cfiEfY9q2aJ6/sdHFzG5emD5s9LTwLS6wk2Z10lqlVSIRC1EKXO7dJaeOZk3djX3eSM5XkhBRAFlOuZ8JE5VYJFJFdtgn3PdslnMnlpBRzCa3m2LxpM8tfkQ7+y1z8h8Hgc3rZzbpw/e7oYOXn7vOJ3BGNPr/Fx54QzOnjNpwI5dKd1LEqJYXLpkKi++e5ytO5tYde60QoczIpKcCijb5c6pAotwNEk4lqS1K8ruhk4uPrOOe/5mWZ/nPdVz9P4cC4vuUIK3djXx0rvH6QjE8Lh0usOJ9HiL02dUcuNl8/qcLe1u6GDd5oP4PA5mTC4jHEvy2z/v5pNXDqz6y0WiFmKim11fxvRaPy+9d1yS00SWWrW0B+NU+50ZJZpsljtv2NpAOJok1GsJbwGv7mjm98/u4spR/OU0TJOuUIL397eybvNBVFUhYVh0tIUBu9LuuotncfFZkwecLW3e1sikCg8+j4NQJEEiaaKq6qD97eRekhDZpygKly6Zwu/+spfDJwLMqi8rdEgZk+SUJb3vBpV5hr4/lMsX39auKOGYnZh6pwkLePKlAyNOTvGEQVcojmFa9qGqohAIJdLnZJqqMKXaw7JF9QO+VlUV9J4zpM5eXcWHO0eSe0lCZN/FZ9XzyAv7eeHdY3xm9cJCh5MxSU5ZMlhZeO8u2Jlcfh2rmgr3gBf+1NFOJDaSA1GLUDTZZ8xFU3uYcNxI/9rn1inzOvqs0mDgAMC2QKzkzpFKYU6UmDj8HgcXnzmZV7ef4KbL5uFzD36to9hIcsqSU3XBzscIh9VLZ7K7oTOdkFL/VhXwuDL7ozYti+5wnGjMrsaLxQ2e2nKIUM+vVQUqy1y4nTrxpJEeZwGg6wrlHieungGAV104o+TOkfLxJkOI4ZyqK3mKYZjU1trbeB+/6nRe3tbI2/vaWbtqvr0r0hnOZZhjJskpS05VbZbLEQ6938n7vQ4C4USfxIQCH7l07ikfJ2ladAWjJJL2Vx9pDvDQpn20d9vbcrpm301yOTTiSbu8/JIlU3vKwx34PToKSnp1VYrnSKUyJ0qMX6fqSj6U6nIXD23cTWt7kM/deE72A8sySU5Z0rvaTNeUAfeHclUqnXonnzQswtEEScNEATRNwTQt3E6dqy+czq1XLxxyntP2g21s2d5Iw4kgbqfG8sVTONEW4bm3jqQ7PaxeOpPqMhevbGukIxCjqszFJUumcva8Gsq8Dhza4Ffm+ieo1KXa8fpCXipzosTEM3dKOW/ubqGpPVLoUDJS0OT0/e9/n46ODu677z62bNnCvffeSywW45prruGuu+4qZGgj1vtFuCMYp6pftV6uSqU3bG0gaVgEwnFAQVNVwEJRFL5409mnTAIfHGrj6VcP0xWOA9ARivP7v+wladjLn7oqD5+4YgH1PRdqF86qBkBVFHweHa/bwXADLYbbBruidvxUDqXIfSwxXtVP8uJ2ahxo7C50KBkpWHJ69dVXeeKJJ7jsssuIRqPcc889PPDAA0yZMoXPf/7zvPjii6xcubJQ4Y1KqtpssKmzudriau2K9gwXU0iNPVIVe4TFqbaaLCxefOc47YEYuqYSiSfpDMbS23IXnzWZa5bOGjDewunQKPc62XW4nadfOzzs9zPcNtgVF88Z0/deCHIfS4xXqqIwZ0o5Ow93sO9oJxUu7dRfVEAFSU6dnZ3cf//9fOELX2DXrl1s27aNWbNmMWPGDADWrFnDhg0bxl1yOpVclErXVLjpCER7Vkw2i5ND/oZimiadoQT7j3XhdGp0BGLpij5VAa9L54blfZPH/mNdbD/YRlN7mKRh0R2K4/U48Lp1TrSH+ekT2/E4NabW+NKJarhtsDd3No278eOleI4mJo7Z9WXsPdrJE8/v469Wn17ocIZVkOT0rW99i7vuuovGxkYAmpubqa2tTf9+XV0dTU1NI3rMXQ0d/PGlAxPuBWP10pnsP9aNYVqoip2YLMDj0obcakrNX0qaFh6XzomOCKZpL5dcDg2fR6eyZ+BfypGWIK+8f5xQ1EBVoLkjgmFauJwaEcMkEEmABbGE0WfrbqhtMLdT4z8f3wY9vfbGU9Wb3McS45VDV5lVX8Yr7x3juotnUlvpKXRIQ8p7cnrkkUeYMmUKy5Yt4/HHHwfsd/G9uwtYljVoJ+vhPLX5EMFoggq/k2A0wR+e20dFhZcLzpic1fgzVZuH85Q3dzbx3DvHcegKkbiJZdlbbj6PjkPTuOXqhX3iqK0tIxCKkQgn8Jd7+PNrh9PjLQAq/U6cDhXThGtXzKW62oeiQJnHwR9fOUgomsTttP/KmJa9wkq1L1JRUDUwTPteRTSe5Ll3jnPL1Qv5z8e3YZimvaWXMMACTVdBMdOP53Ro6a8p9HZfPv7sRkpiysxEiMnrcWEpo+/ZvWheDYdPBHjp/RN8Ye3iLEaWXXlPTk8//TQtLS185CMfoauri3A4zLFjx9B6jfZuaWmhrq5uZA+sgKaqJA3L/rdi8NCzu5hVM7Azdq71PnPatr+VR5/fR1NHFLCYXO3lpsvmjfmdd+9Cg5pKD92hOKFoEqeuUlvhYfXSmcyq8dLSEmDb/lZe29lMW1cUTJMl82t4a08LBxvtGCv8TvxunXA0id/t4JIlU5la5SEcilLucRANWxw41oXXrZPo6Q6hawqJpEW8Z6Cgfc6l9HzcRFUUGluCzKrx8okr5g/YBvvts3uo8DvTj2c/hv01Q1UV5sNg54WFJjFlZrzGNNLkFY7ECI2ilLy3VefPYOPWw1x1/jTKvc5Tf0GODPe95z05/frXv07//8cff5zXX3+d//t//y9XX301hw8fZvr06axfv54bb7xxRI/bv5S5GMp7t+1v5Vd/2kkomkRR7Nl5jW0hfvX0Lu64duGYElT/QoMKvwu3y96Ou/uT56U/7/39rTz92mEUBULhBIFIgn0vHqB3U/BoNMmFp9dy+fn2mZ+mKvi9DjxOjVQjpP7bc+U+J21dETRVRVEUu4RdsSj32ZdyT1XBVlPhJhhN9Dkrk6o3IfLjY5fNZ+PrDfzlzSOsvXReocMZVFHMc3K5XNx3333ceeedXHvttcydO5fVq1eP6DESRn7nImViw9YGonEDRbFXBZqqoCgq0VhyzEP0Mp1/9OqOJqIJg1AkSUcw3ueCbkosafKXt47xwttHcTvtybQep07vDn39ZzypqoLP46Su0o3ToaIqCmVeJ26n1ueO11Cj6BfOrCSZtIadKyWEyI0Zk8u4YGEdf3nzaHprvtgU9J7T2rVrWbt2LQDLli1j3bp1o36s1AtnMZX3tnZF04UKKfb2lznkqq5/37aFMyvZ1dA5oNDj1PdtLEIxg4PHu3o6P8TTd5cG4/M42NnQwSeuXACD3FwarErtE5fPP2VT2x/87u1BS8l3NXTy+bWLx121nhCl4obls3lrVzPPvtFQlKunkukQ8dFL5hZdtV5NhZvuUBzTstIv96Zln40Ntqrrf2H1RHuYPUc7qfC5KPM6+lS0neq+TXc4QTBsj6loD8TTz1Huc9IdOvlrXVOoKnNjYXG8Nczd//7qkD+/4arUhvq9oUrJj7WGePyFfUX15yXERDK91p9ePV194cw+s9iKQckkp4Uzq/qctRSD1Utnps+cTKyey60Wbrdz0FVd/3OkSNxAQSESS6Z72qUusKa+196rlWuWzuSsOZPoCMRo6gjzyPP704lJUxW7SWuvRVGZ14HP46A7FE+Pcc52WfdgK7zukN1YtqM7Mu7KyIUoJTcsn82bu5r58+sN3LiyuFZPJZOcCmWw7axUW57F82q447oz0tV6imIxudo3ZLVe/1VGMmmiKpDsdZ7W+1yp92pl+8E2Nm8/wSMv7Cfec9coVUl3+sxKDBPaOsM4HRoOXaWyzIVhWDT3uuOkqgw67mMsBlvhhaJJ/F4Hbqdd/SfNU4XIXKZdyYeT6lheW1vGinOmsento9y6+gw8Lr1oupVLchqDofrGVVR40yXsI7mw2X+VoSiQ6DknamgKgGVfoqur7Lsl+MGhNp5+7TCdwRhdwTiRnvEWLofGzZfP54xZVVRX+2hvD/H7v+yhzOfkWEtowIynmoqTF/KyVe042FlVOJKgzNt3C6EYqiuFGA9G25V8KLpiEYkZfOs/t/Bv/7gqa487VpKcxmCovnGPv7CPu24a/HLbcIPqeq8ykkkjvaIB0v3uEkmT7kiSbftbWTyvBtOyeOGd4zS1R+gKxuj1JcQSBpu3HUdVYFm1D69bJxRNYpgmfo+OaVnE40a6ei91FuVx6VmtduyfoH/wu7fpDMVxSvNUIQquzOtk5mQ/Bxu7aWwNFU1SKIpS8vFqqHLu5vbBl8XrXjnATx/fzt6jnQTCcZo6Ijy4cQ/b9rcC9ov4p646jUqfk65gAl1T0TWlT+2crturtI1vHiFpWLR1R9hxsJ2OQN/ElI6xO8oL7x6jsTXIkaYAJ9rCHG0OEggncDtU1F6Pn0iatHVF6A7Fc1rtmCpLj8aTUkYuRBFYOLMSVVH476d3FDqUtGJJkuPSkH3jXBo/+N3bfVZHAH96rQHTsjtYGCYEwnHKvM4+Zy2pVcbd/74Fr1vneGso3RXcsixM06Lc68AwLA4e7+Kh5/cRiRuDxudyapT7nDgdGv/99E6C4ThOh0osaXdxiMaNPonP6lmexeIGn7nhzJyd/6Qe97l3jtPYEpRqPSEKzO3UmTetnFfeO87KJVOYN7Wi0CFJchqLwQ77w5EEsbhBzKn1OYdy6SqGaaH1GmthWgrhaILWroH3ilKJT9fslkyppq7VFS4MExqau7nvwbf7XKhVsD9HVaDc78Lt1GjrilFbqdDYFmZShRuv24FDV+kOJzB6tvQ01b4gbFpgWSa6puQ8USyeV8MVF88punYzQkxU86dV0NIZ5eFN+/jap84bcX/TbJNtvTHovQ0Xjiap9Dkp9znxeXRcDi1d+aZpKk0dURya2ieZpCrxBjtrSW19eVw6lmVX3U2qcKMqCvuPdRFNmFjYRRM+j06V34muKbidGrVVXlQs2roi9rlST/+61Bak1+2gvtpL6u+e1nNL2P6XMuxlXSFEadI1lU9+eCF7j3bx1u6WQocjK6ex6n/Yf/e/b6HC7+zzAu/UVQzTJJHefbNXQoqioCrqoGctvavcdE3B53akq/FSlJ6lUjxu4PKqzJjsR1VVjjUHiCctUMDn1DAMk6m1PmJxo88WZCpTpi4JW2A30NUK+45JCFEYV100k3Uv7ef3z+3lrDnVeFyFSxGSnHoMV0U3EoM1NG3vjg4oVjAte9l63YeGfp7F82o4e14NgUicDa81sPGNI+mVl6LY23iqap8tuZw6F5xey7b97Th0DUWx0DSF+movq5fOpKLCy88efbfPFqSuqTh0BcOy71TpuorHqaVHsgshJhZNU/n06tP53n+/xZOvHOQTVywoWCySnBj6vhKMvGPB6qUz+cNz+0gqJ/v8hSLJdCKxz3Xsz9U1hRtWzB3ysUzTpKEpyG837uHA8W7A7r5uWaktPYVynwtNU2jpjPLHlw/xdx9bNKDf3W+f3cOUWj/LF9X36dN38Rl1bN5+Ak1Ti6onYe/Ypb2REPk1b2oFK8+dxsY3j7DsrHpm1RdmRpYkJ4a+rzSajgWL59VQUeHt09D0RFsYh6agKAqKZWGYdiujeNJM31fqL5Yw2LK9kUdfOJC+LHvRGXUsmF7B7zbuxePWKfc5CYYTBLtPXsj71Z92csd1ZwD0Sbgd3RE2twb51FWn9Xm+2VPKiy4J9H6zoChw4Hg3P3p0G1Mneblp1fyCxydEqbtx5Vze3t3Mf/95N9+4/XxUNf9b/ZKcGLo56Wg7FlxwxuQ+Qw7/5/0vEUsYKFh9zqIUhQErNMuCtkCURzbt441dzYB9KfbGlXM5c3Y1AKfPaqGtO0ZrZ2RA8UI0bqTHcfROuG6HRtKwBiTcYhw5nnqzYJoWHYEYoKCqCs2dUenBJ0Qe+NwObrliAf/11A5efPcYq86bnvcYpFoP+5wonszdPKirL5yO1S8xAXicKpqmppOJaZpsP9jGd3/z5snE5NS4btlMzpxdbc9M8jm5ftks2noSU+/3M5oKhmnR2hXNeN5TMUrFbnesUOziEezvrffPSwiROxefOZkzZlXx6IsH6ArG8v78kpwYOEgv2x0Lblgxl6UL+46dV4BY0iKZNAhGEkTiSR5/6QD/9sh76TZCZV4HXo/OprePcqSpm+oKNz6XzpmzJzG1xpeusFMU+/xK6RloWFPhznnCzaVU7EnDTM/CsrC7Y4yXBCvEeKcoCrd/+HQSSYOHNu3L+/OX/LZeJgfrgzUnzfbZS0cwjlNX7Sq99AuuhYLCpHI3/7+H3mX/MbvoQVMVqspdOHUNl1PD49Z5bUczF55Rn368my6bx6+e3kUoYq8uwN4SdLu0dFLtfUE4Gk8WTbHDqaQuN6uKgmFa9oh7oNzrGDcJVohcyUZX8qGkupWn1NaW8fErTuP3z+7mukvmcs5p9pvseMLIeffykk5OqYP1pGERjiboCETZf6yb65bNHFAll4uzl96JsSsYx+PSCMeSmJaCy6FS5nMSCMXZ1dBBLHHyomxVuQtdUynzOnE5NQKhOM29BgSm4r3j2oU8+sJ+mtrDgEJ9tXtAwUDq+f1eJ+gWv312D27HPlAUonGjaIogekvF8ugL+zneGkJTVcp9DjRNHTcJVohcyXZX8lMxTBOfW+e+37zBZedORVNV/nbtkpw/b0knpw1bG0gaFoGwvbqwe9pZ/Om1BmZPKR/xC/Jgq7DU87R2RXE7NbAs4iY4VeiOJHsKLSySpkl32ERTFcq9Gm63Tkt7hGRqlpICl54zlYYTAWJJk9oKD/GkQWcgRixhDLpaOFVCTf3+ulcO8PRrDSR72ie1GRaqCtXl7qId9JeKvffPvNLnLLpEKkSp01SVxfMm8eoHTew92sXCmVV5ed6STk6tXVHC0QSpQ3Wwk4BhDqxaO5XB7kL96k87QVHwunUUBRrbQoBCbaWb5s4YhmmSTCYJx+xVkaYqVJe7SRgGJ9oi6ftOTl3F53WwbX8rlyyewu4jXbQFoigwortHQyXPP73agImdmFLzoSwLAuEEk6u9RT3orxirCYWYaGorPUyr8bHvaBfTa/15ec6SS069X6DD0STxpIlDO1n3YWFfZB3pofpgd6Haex6jqsxFUyCGoqiARVcojmFamCbpxORx6ZT7HHR0x/oUKpT3jEp3OTW8bgdHm0MsnFHJs28cJRpP4nbqXH3h9FO+QA91kdilq5iW3Q0iNSY+9b+pCbtSZCCEOJWz5lTR1BHm/QNt6QkGuVRSyan/C3TSMAnH7BdhTVWwsF+UPS5txIfqg92FMszUI9JTWaZgWfZcJFU9eZhf4XehqQrN7ZE+jV9rKtw4HRplXgcel04gHOdIU4SG5iDlfic1ul21tnn7iVNuQw51kbipI4qu2YUYCnZln9XTpULvSdrDFRlIpwYhBNhjNRbOrGL7wXZe297I/Bx3jiip5NT/BbrC7yKRNAnHkhiWvWLyuDQc+uDNVocz2Owmu5u3vV+YGm0BoKoKyaTZU9zgJhiO0xntOxJd1+zS6JpKN6Zp0RmMEY0bGIY1IMm0BGP86yPboOfZJlW4ue3qvp0ehrpIDBZet5NAOJEej5GKs8zrGLZsPpttnYQQ49/sKWUcbgrwX09u5zt3XNS3kXSWldQ9p8Eunk6qcFPmcXDa9ArKvPaoiP4tfDIx2F0ot1PD7dKJJQzKvA4sy8QwLBIJE7/XSWWZi9bOCKF+iQnA7XSgKtDSYU+etROTPUup9/fQ0R0lHDs5TNDq+T5/vm5HeoIuDH2ReHK1F11TqPA70VR7oKCmKkwqd2FZUOlzDvnz6J3se4//kEuwQkxMqqKweO4kWjoi/OnVwzl9rpJaOQ01mXZqjY+7P3nekF832rtQn7h8fp+PVfpdhKJJynxOYnGD5o7IgOdSVYWqMheKAi2dEUDB49SYWuNj9dKZbNja0Od7CAxRMhqJJfsUMQw2+NAwTD5x+WnA6KbOZrutkxBi/JtU4ebSc6fx59cbWHXuNKrKXDl5npJKTkO9QA+3hTeSrauhKsdSH/vxY+/RHUrQ0BQkYZgDPs/j0qnw9zRrjdhJp9Jvr+Z6J8/U95BMGgx17JhaQfWPYagke6qps4Ml6KGSvVyCFWJiu231GWx+7zh/evUQt119ek6eo6SS02g6PYymI3n/F/JrLrZ7351oD3Oi/WSJeIqiQIXPhcup0dYVJdFr+60zGKczGOcHv3s7nURdDo2m9vCwE2kVGJAkeifP3uMyairc3HL1wj7NaPt/P4Ml6OWL6tm8/cSIkr0QovRNqfGxYvEUXnz3eM8bWU/Wn6OkkhOM/F7MSLeu+r+Qx5MGz2xtYPuBdhrbTm7jpfreOXSVqjIX8aRJc0d4QOICO3n1vzc1pcbHsZYggyzAAHsVNlSSGCzZ/Ofj2/jEFYOPmxgqQe9q6ORTV50m1XpCiAHWfGg2L7/XyKa3j3HzqvlZf/ySS04jNdjWVXcoTjxhcve/bxnwgpx6Ife5Hfi9DuJxg0Mnutl1uDP99aoKmqLgdOqUeR10BePpmUxD6X9vCsCha5A0sbDvTKVoqkJ1mbNnVdQwIGEMlmwM0xxyNThcgpZLsEKIwVSXuzl3QQ2vbGvkY5fMsV+vsqikqvVGo38VXlcwRnc43nMp9uQW17pXDvCD373N3qOdJJMGTodKa2eEvUc7ifRU07mdGn6PjkvXqCxz4XXptHdF7DtQw/ykLQuONAWIJ80+Z1XlPic9fceZOdlP/SQv5T4nPrdO0qJPfL0r9warWnQ5tCFXg+O5g7kQonAuO28awUiCN3e3ZP2xJ/zKCcClqzR1REklAkVRCITjBMNxUBQMw+TJzYeoqXBTP8lHJJpg9+EOzF5bdLqqsHzRZLYfaqeuyksiaXLgWDeGCX6PRiA8xP5cj9RjWZZdiedx6el/wlGDo81B3E7dvqfl0Ic9IxtsNThUfz4YXSGJEKIwctmVPFOp7uWXTvLz66d3sbOhkxsuW5Dx12fS1XxCJ6feZzNTarwEwgk6AjFSd2vtxYSdNfweB7quEo4k6Aj27RCuAF6Pzt5jXaw6dzp7jnXT2NpNXZWH7lCcSMxAURR0lWGLHFKP1RmI4XZqBMIJwrEk5T4n5T6nfW7VHmZShRt6JZ7+Z2SDJRsshkw2+RgZIoTIjnx3JT8Vr0vj9Q9O8PPH3kVRMhvnnklX8wmXnPr33lMUSJoWiYSRXr306kqErilUlbkxLYsTbQMLGhy6QoXPRVWZi0A4zhMvHuC02dWsOLueXQ2ddIXiJJKmPRBQ1zAtA8tk0BJxTbWf2zAtwtEksbhBuddJhd8+g3I5NHRNpSsYx+t2pL+u/xbcYMlmuGq91NdIMhJCjFRtpYejLSG6Q/H0a1U2TIjklEpIx1tDROIGPrdOuc+ZXm2oCn226FJ8HgdlXgfdwVifLg2p/nQOXWFqjR+vS+d4a5BgxC56ON4S5IMDrZR7nVSVuYjFDQzTRFcVYkPs7umagqrYgbgcGrddfRo/fXw7sYRBJG5Q7nXgdTso9zlo77bHaAy3Bdc/2dTWlg17z0kIIUaj0u8E7IYBkpwGsauhgz++dGDAtlTvrbtwLEnSsNJ3i1L6JyZds8u/LSya28MDft/n1onGDWorPVSVuThwvItQJGk3egU6umMAROIGFX67dVBbV3TQNkYp9naf/USGafLgxj0oPfXohmHSHrAfU9c1pk7y4vc6ZQtOCFFwHpedRiJx4xSfOTIlk5z++PIBOkPxAV0eUmXVpmmd8rwH7Ao5r1unKxhLV+H1F08YLF9UT2N7mOaOCN2hk/u/FqTbyScS9td73faoDLPn46mkM1Q08YRJImlSWeaivTsKKChYdAXjVPidfGIUvQGFECIXtJ5hecZQlzJHqWSSU+97PaZp0d4dTXfyzkTqsmzSsGhqH/yyLEBdlZuaSi/d4QTXXjyLR1/YP+Rj9n4IE7vYQdNUVAW7ZHyYXBmJGVT4Xfg9DrpD8Z6RFxbLF9VLYhJCFI3UzpKqZlYMkamSueeUGigYiSVp7YwM2VlhMOU+J5Mq3ATCCdq7o4MmJodDZVqtl2m1ZSQSBkeagyyeV4Pf42CoAhV7bpLdwVxTFXwee2S72TNPaSiaaievSCxJMJJAVVV0TcGhq2zefqLPnSYhhCikaE+DAbczu5dwS2bllLq82h2KD/vC35uuqVSVuzCGWC15XBqJhInXo1NT4SYaN3l/XyuGaWEBn//nF0ga5pALIAXoCMSYVuPj4jPq2Lz9BA5dIxxNkDQGfq7V828UBU1R6AzEsCxQFPv5KvzO9MgKWT0JIYpBV9g+v/d7Haf4zJEpmeRkGGZ6LlJvqRf9/sp6xqMP1VrIpStMqfayYHoFe4520RGI0RWM9ymOGC4xAVSWuZhc5Ul3HJ89pbynvFuh1qFyrC2MqkD/HT7TtLhh+Sz+9Ko9N0nTVFy6Snc4QTJp0tYZZdv+VklQQoiCa+2MoqkKlb7sjs4omeR0wem1PLRp4PlP/+Th0FUqy4ZeLYF9qezjq+bzxs4mDjcFae+O0h1ODPjc4RKTrinomsL+Y119evT1Ho3xrV+8RnNnFIuT+3y6plJX5eGGFXPZ1dBJZyiertZL7R4qCjKRVghRcKZpcbw1RF2VR86chrL/WDeTKtz2D2mQn5Gq2Ntis+vLKfM4hjxbArvVz7oth2jrjrHvWBddoYGJ6VRMC9q7oyg9XcYH64F306r5VPid1FV5mF7np67aS4XfyU2XzQNO9v3rCsZ7EpOCotgrMplIK4QotGOtIeJJk5l1/qw/dskkp/ZADKeu4nHp1FR6cGgnM5THpXPWnGouO2cqbd1hWrsGTqhN0TWFmgoPlgXNnZGMys8HY5n2CVKF3znkiPPF82r41FWnUelzEo4mB4xMT/2+ZVlYloWuKVSXu/G4dJlIK4QoKNO02Hu0kzKvg7oqmec0pOoyFwd7mp16XDqeWj/xhMHUGi+fueYMwpEksYTB7oZOdjV0DvoYHpfO1BovJ9rCw16YzYQ9jt3Zp83QYAnlVG2DFs+rYd60CplIK4QoKgcbuwlGklx0Rl3GPfVGomSS08pzp7Fv/Y50s1N6tvEuWFhHMJzgtQ9O8MzWhvQUWlVV8Lo0YgkDw7Dwe51MqrDbcIwlMTk0Ba/HwZRqL52hvg1ih0sog41JTyUt6RouhEgphq7kB4938cy/vcSFZ07mm3csHXFyiidO3U2iZJLTEy8dwKWrKIqCptpbc2fPrSYSTfL//r83BrTWME2LaNygwudkcrWP9u4Ix5pDKMMNXuqha0q6VZGiKKhKT2cI7H58M+rLueLcqfzqTztp74ran6vYzxmKJNIj2XuPVB9sTDr0XVlJ13AhRKG7kicNk5fea0RVFKp9Tn7xxDb+du2SrPfuLJnk5HHpdAZi6LpCPG7Q3mUPAtyyvQljsK6uPZwOlWg8SSSWJJ600FRzyEawKaqioGoKPo+DQDie7iQO0BmM42wLcaixm9TtXNOysHouBYciCQ4c7+ZXf9rJHdedweJ5NUOOSe99n0m6hgshCs2yLLbtbyMYSbDsrMm4snzxtreSSU6WfVuV1s4osZ4l4/7GoTO5x6VT4XfSFYxzos0ukFBVuwvDqZacFX4n0bhBmdeBZVl9msgCtHVFeWrLYcp9TqbU+DjeEiTRU1hhWnayCkWTPPr8PhbPqxl2TLoQQhSLnYc7OdoS4vSZldRWZr8IoreSqdYLRJI0tYfTiWk4qeF9rZ1RwrFkekvONO1WQ8OtmsCenFvRM/yv/6VfAAurZyaTvfROVfyldmVVxS4Jt6fvyph0IUTx23+8i33HuphVX8Zp0yty/nwlk5zCkfgpP0dRoLrcjUNXaekIk+xpedT7KO9U95lUBZKW3SYpHE0OmgzNnjyTevzUQ1qkd/p6nsf+ndR9pljCSPfik4IHIUSxOHwiwAcHO5gyycviudU5qc7rr4S29Yb/fU1VmFThJpYw6OrZhku1NhrJTSbTsldYXo8DXYFgOGF3eOjRu12SqqjEEgYOXU1XCWqq0rMys5hc7QNkTLoQongdON7N9oPt1FV5OO+0mrwkJiil5DTM77kcGlXlLgI9qx2HppAw7JRyquKH/hTsVVNdlYdwNInfoxOInOwgkXooRYHrls1kV0MnoUgC0555gWVZaKqC232yEwRIwYMQovjsPdrJzsOdTJnk5fzTarPeomg4JZOchuLtGcne0R3D49KYWV8GwPHWEImk2dP1+9QrrxRNU0gaZp8zoaaOCMGI3ZQ19Tn11V5uWDGXG3q+brh7TEIIUUwsy2L7wXYONgaYXuvjnAU1qHlaMaWUTHIq8zro6I6mq+LArqpzOTTaOiPomkK5z5n+vVTpd6+jn1PSVDuJaarS50zowY17mFThTl+QxaLPqghkZSSEGB+Shslbu1to6ogwd2o5Z82uyttWXm8lk5w0VaGm0oOiKMQSSVwOjXjCpDMQ5e/Xns0Df97NkebggJWSooCmqunihdTHUmdHqqJQW+UhmTToDiVIGiZ1VV5uumxeOtkcauzm2TeOEo0ncTt1Ptrr94QQYryIxpJs3dlMVyjO2XOrmTOlvGCxlExyqvA5aQ/E8Loc1FaWEU8aNLaG0DWNn6/7gHDsZFVd7y08VbHHn6fOnnoG6qKpKm6XzuXnTmVXQyetXVHmTi0fsB23bX8rm7efoNzvpEa3S8I3vXGEunKXJCghxLjRHYqzdUcT8aTJ0jPqmFztLWg8JZOcGttDhKNJ3A6N1k67cWt3OE6Fz0VnIDbk1+m6RjJp4tA1FMVidn35gHOhG4b8agbt7mCYpkyrFUKMG80dEd7c3Yyuqaw4u54Kf3YHB45GQZLTT37yE5555hkAVq5cyd13382WLVu49957icViXHPNNdx1110jekyfy0nCa9HSGSaRtHDoKhU+l10M0TOob+A9I6jveXcQSxhU+px9hgFmYrDuDi6HJt0dhBDjwqETAd7f30aZz8HSMybjcRXHmiXvUWzZsoVXXnmFJ554AkVR+OxnP8v69ev54Q9/yAMPPMCUKVP4/Oc/z4svvsjKlSszflxVs4f7qapKXbWLts4IZT0z7XuXi1tW30u3oUgcXddGfem1psI9YJxFLGFIdwchRE5kqyu5aVr899M72La/jQvOmMxXbju/z4ifkciky/hI5T051dbW8rWvfQ2n066cmzdvHocOHWLWrFnMmDEDgDVr1rBhw4YRJafuUAIsSCZNe2QGCvGkicuhUe5z9ul/1/suUnt3jKmTvHyi15C/kRhsnAUW0t1BCJET/buSj6YjeCJp8Iv1O3ljVzOrzpvGJ69cQCgQJRQonh2fvCenBQsWpP//oUOHeOaZZ7jtttuora1Nf7yuro6mpqYRP7YF6D0JYnKVm1jSJIbdSy9pmAQj9pwmVbFLzyvL7I4Rfq9z1OdDg3V3uOXqhcyqKexhohBCDCYYSfCTx7ax52gXN6+az4cvmlGQUvFTKdjm4t69e/n85z/P3XffjaZpHDp0KP17lmWN+Idl9hwi+T06WPA3H1sMwOMv7KO5PcycaZU0nOimpsLd57F1TaEjGKe2tmzU38sVtWVccfGcUX99vozle8wViSkzElNmJkJMXo8LS+nbFjXT52huD/PPf3idxtYwX7ntfC49d3pWY8umgiSnt956iy9+8Yvcc889XHfddbz++uu0tLSkf7+lpYW6uroRPaZTs8ez11Z4WL10ZnrlctdNi9Of84PfvT3o+VCV35nVQVm1tWUZPV4+u0ZkGlM+SUyZkZgyM15jGmnyCkdihPoNG8zk+z58IsC/PvIeiaTJP96yhNOnVxT85zXc95735NTY2Mjf//3fc//997Ns2TIAlixZwsGDBzl8+DDTp09n/fr13HjjjSN63P/7NxfZ/euGUUzjzk81/VYIIbJl1+EO/u2xbfjdOl++9Xym1fgKHdIp5T05/fKXvyQWi3HfffelP/aJT3yC++67jzvvvJNYLMbKlStZvXp11p+7mLp/ZzL9Vgghxmr7gTZ+/Pj71FZ6+MdbzqGqrPB3mDKR9+T0zW9+k29+85uD/t66dety/vzF0uNOpt8KIXLtnb0t/PsftzN1ko9/+MQ5lHudp/6iIlEywwbHG5l+K4TIpW372/jZE9uZUefny7eeO64SE5RQ+6JMFNPYimI6/xJClJZ9R7v42RPvM63Wxz/ecu6AXZrxYPxFPErFVoBQTOdfQojScbQ5yL8+8h5VZS7+4eZzxmViggmUnPoXIBiGSVcwzk8ff5950yoKkhiK5fxLCFEausNx/u3R93A6VP7xlnP6zLAbbybMmVNrV7SnrRGEownaAzFMy8K0rPQqatv+1gJHKYQQo2OYJv/xx+10hxN88abF1FR6Ch3SmEyY5NS7AKE7nOhp/qrg0DVcDg1NU9mwtaGQIQohxKg99sIBdjV08pnVpzO7vnBDArNlwmzr9S5ASPYkKUWxKPfZNf9Sxi2EGA/6dyVPdQQ/3BTgumWz+NCiKYUIK+smTHLqXYDQ1hlFUaCyzJWeXSJl3EKI8aCtLThoN5wvf+KcomzgOloTJjnByQKEVOWeqipYliVl3EKIca+UEhNMsOSUImXcQghR3CZkcgIp4xZCiGI2Yar1hBBCjB+SnIQQQhQdSU5CCCGKjiQnIYQQRUeSkxBCiKIjyUkIIUTRkeQkhBCi6EhyEkIIUXRK5hKuqhZX645iiwckpkxJTJmRmDJTjDGNB4plWQM7CAohhBAFJNt6Qgghio4kJyGEEEVHkpMQQoiiI8lJCCFE0ZHkJIQQouhIchJCCFF0JDkJIYQoOpKchBBCFB1JTkIIIYqOJKcs+MlPfsJ1113Hddddxw9+8AMAtmzZwpo1a7j66qu5//77CxLX97//fb72ta8VRTybNm1i7dq1XHPNNXz3u98tipgAnnzyyfSf3fe///2CxRUMBrn++us5evTosDHs3LmTtWvX8uEPf5hvfOMbJJPJvMX00EMPcf3117NmzRq+/vWvE4/HCx5Tym9/+1tuv/329K8LGdM777zDzTffzHXXXcc//MM/FOTnVBIsMSabN2+2brnlFisWi1nxeNz69Kc/bT311FPWypUrrYaGBiuRSFh33HGH9cILL+Q1ri1btlhLly61vvrVr1qRSKSg8TQ0NFgrVqywGhsbrXg8bt16663WCy+8UPCfUTgcti688EKrra3NSiQS1k033WQ999xzeY/r3Xffta6//nrrrLPOso4cOTLsn9d1111nvfPOO5ZlWdbXv/5168EHH8xLTAcOHLCuuuoqKxAIWKZpWnfffbf161//uqAxpezdu9e65JJLrNtuuy39sULFFAgErOXLl1s7d+60LMuy7rrrrvRz5yumUiErpzGqra3la1/7Gk6nE4fDwbx58zh06BCzZs1ixowZ6LrOmjVr2LBhQ95i6uzs5P777+cLX/gCANu2bStoPBs3buTaa6+lvr4eh8PB/fffj8fjKWhMAIZhYJomkUiEZDJJMpnE7/fnPa6HH36Yb3/729TV1QFD/3kdO3aMaDTKOeecA8DatWtzFlv/mJxOJ9/+9rfx+/0oisJpp53G8ePHCxoTQDwe51vf+hZf/OIX0x8rZEybN2/mnHPOYeHChQB885vf5KqrrsprTKWiZLqSF8qCBQvS///QoUM888wz3HbbbdTW1qY/XldXR1NTU95i+ta3vsVdd91FY2MjAM3NzQWN5/DhwzgcDr7whS/Q2NjIZZddxoIFCwoaE4Df7+dLX/oS11xzDR6PhwsvvLAgP6t/+qd/6vProWLo//Ha2tqcxdY/pmnTpjFt2jQA2tvbefDBB7n33nsLGhPAv/zLv3DjjTcyffr09McKGdPhw4fxer3cddddHDhwgPPOO4+vfe1r7NixI28xlQpZOWXJ3r17ueOOO7j77ruZMWMGinKyTb5lWX1+nUuPPPIIU6ZMYdmyZemPmaZZsHjAXqG8+uqrfO973+Ohhx5i27ZtHDlypKAxAezatYvHHnuM559/npdffhlVVTl06FDB4xrqz6vQf44ATU1NfOYzn+HGG29k6dKlBY1p8+bNNDY2cuONN/b5eCFjMgyDV155hX/4h3/g8ccfJxKJ8POf/7wo/uzGG1k5ZcFbb73FF7/4Re655x6uu+46Xn/9dVpaWtK/39LS0mcrIpeefvppWlpa+MhHPkJXVxfhcJhjx46haVpB4gGoqalh2bJlVFdXA3DllVeyYcOGgsYE8Morr7Bs2TImTZoE2Fstv/zlLwseV319/aB/f/p/vLW1Na+x7d+/n89+9rPcfvvt3HHHHYPGms+Y1q9fz969e/nIRz5COBymtbWV//W//hdf+cpXChZTTU0NS5YsYcaMGQBcc801/Pa3v2Xt2rUF/bMbj2TlNEaNjY38/d//PT/84Q+57rrrAFiyZAkHDx7k8OHDGIbB+vXrufTSS/MSz69//WvWr1/Pk08+yRe/+EUuv/xyfvGLXxQsHoBVq1bxyiuv0N3djWEYvPzyy6xevbqgMQEsXLiQLVu2EA6HsSyLTZs2FfTPLmWoGKZNm4bL5eKtt94C7ErDfMUWDAb5m7/5G770pS+lExNQ0JjuvfdennnmGZ588km++93vsmjRIv71X/+1oDGtWLGCDz74IL2l/vzzz3PWWWcVNKbxSlZOY/TLX/6SWCzGfffdl/7YJz7xCe677z7uvPNOYrEYK1euZPXq1QWL0eVyFTSeJUuW8NnPfpZPfvKTJBIJli9fzq233srcuXML+jNasWIFO3bsYO3atTgcDs4++2zuvPNOli9fXtC4hvvz+uEPf8g3v/lNgsEgZ511Fp/+9KfzEtOjjz5Ka2srv/71r/n1r38NwOWXX86XvvSlgsU0nELFNGXKFL7zne/whS98gVgsxhlnnMFXv/rVgsY0XskkXCGEEEVHtvWEEEIUHUlOQgghio4kJyGEEEVHkpMQQoiiI8lJCCFE0ZHkJCaMRCLBihUr+OxnP5vR599xxx20t7eP+vl+/OMf853vfGfUXy/ERCbJSUwYGzduZOHChWzfvp39+/ef8vM3b96ch6iEEIOR5CQmjN///vdcccUVXHvttfzmN79Jf/zRRx/luuuuY82aNXz605+msbGRr3/96wB85jOfobGxkcsvv5z3338//TW9f/0f//EffPzjH2fNmjVceeWVbNy4Mb/fmBAlSJKTmBD27dvHO++8w+rVq/noRz/Kk08+SUdHB7t27eKHP/whv/jFL3jqqae4/PLL+fd//3fuvfdeAH7zm98wZcqUIR/32LFjbNmyhQceeICnnnqKu+66ix/96Ef5+raEKFnSvkhMCL///e9ZtWoVVVVVVFVVMX36dB5++GGcTicrVqxIJ6C/+qu/GtHjTps2jR/84Ac89dRTHD58mPfee49QKJSD70CIiUVWTqLkhcNhnnzySd566y0uv/xyLr/8clpaWvjtb3+Lqqp9RhdEo9Ehz6N6d/pKjd7+4IMPuOWWWwgGgyxfvjzjYgshxPAkOYmS99RTT1FZWcnLL7/Mpk2b2LRpE3/5y18Ih8MEAgFeffVVmpubAfjDH/7AP//zPwOgaRrJZBKA6upqtm/fDsDWrVvT4w/eeOMNFi1axF//9V9z0UUX8dxzz2EYRgG+SyFKi2zriZL3+9//nr/+67/uM6epvLyc22+/neeff56vfOUr6RVPbW0t3/ve9wBYvXo1t99+Oz/+8Y/58pe/zP/5P/+Hhx56iLPOOouzzjoLgOuvv55nn32Wa665BtM0WbVqFV1dXQSDwfx/o0KUEOlKLoQQoujItp4QQoiiI8lJCCFE0ZHkJIQQouhIchJCCFF0JDkJIYQoOpKchBBCFB1JTkIIIYqOJCchhBBF5/8PsCzEK3oYBRYAAAAASUVORK5CYII=",
+      "text/plain": [
+       "<Figure size 432x432 with 3 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "y_pred = reg.predict(X_test)\n",
+    "test = pd.DataFrame({'Predicted':y_pred,'Actual':y_test})\n",
+    "fig= plt.figure(figsize=(16,8))\n",
+    "test = test.reset_index()\n",
+    "test = test.drop(['index'],axis=1)\n",
+    "plt.plot(test[:50])\n",
+    "plt.legend(['Actual','Predicted'])\n",
+    "sns.jointplot(x='Actual',y='Predicted',data=test,kind='reg',);"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "category": "CRM",
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.3"
+  },
+  "skipNotebookInDeployment": false,
+  "title": "Increase customer satisfaction"
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/CRM/Sentiment analysis on amazon alexa reviews/notebook.ipynb b/CRM/Sentiment analysis on amazon alexa reviews/notebook.ipynb
index 1ffd6e6..0409942 100644
--- a/CRM/Sentiment analysis on amazon alexa reviews/notebook.ipynb	
+++ b/CRM/Sentiment analysis on amazon alexa reviews/notebook.ipynb	
@@ -1,4653 +1,4658 @@
 {
-    "cells": [
-        {
-            "cell_type": "code",
-            "execution_count": 56,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "import warnings\n",
-                "\n",
-                "import numpy as np\n",
-                "import pandas as pd\n",
-                "import matplotlib.pyplot as plt\n",
-                "# get_ipython().run_line_magic('matplotlib', 'inline')\n",
-                "import seaborn as sns\n",
-                "\n",
-                "plt.style.use('fivethirtyeight')\n",
-                "plt.rcParams['figure.figsize'] = (15, 9)\n",
-                "\n",
-                "from sklearn.feature_extraction.text import CountVectorizer\n",
-                "# from sklearn import tree\n",
-                "from sklearn.tree import DecisionTreeClassifier\n",
-                "\n",
-                "from sklearn.model_selection import train_test_split\n",
-                "from sklearn.metrics import accuracy_score, f1_score, precision_score, recall_score, classification_report, confusion_matrix\n",
-                "\n",
-                "from wordcloud import WordCloud\n",
-                "\n",
-                "import re\n",
-                "from nltk.corpus import stopwords\n",
-                "from nltk.stem.porter import PorterStemmer\n",
-                "# from wordcloud import STOPWORDS"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 57,
-            "metadata": {},
-            "outputs": [
-                {
-                    "name": "stdout",
-                    "output_type": "stream",
-                    "text": [
-                        "showing info https://raw.githubusercontent.com/nltk/nltk_data/gh-pages/index.xml\n"
-                    ]
-                },
-                {
-                    "data": {
-                        "text/plain": [
-                            "True"
-                        ]
-                    },
-                    "execution_count": 57,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                }
-            ],
-            "source": [
-                "\n",
-                "import nltk\n",
-                "nltk.download()\n",
-                "# https://www.nltk.org/data.html\n",
-                "# A new window should open, showing the NLTK Downloader. Click on the File menu and select Change Download Directory. \n",
-                "# For central installation, set this to C:\\nltk_data (Windows), /usr/local/share/nltk_data (Mac), or /usr/share/nltk_data (Unix). \n",
-                "# Next, select the packages or collections you want to download.\n",
-                "# If you did not install the data to one of the above central locations, you will need to set the NLTK_DATA environment variable \n",
-                "# to specify the location of the data. (On a Windows machine, right click on \u201cMy Computer\u201d then \n",
-                "# select Properties > Advanced > Environment Variables > User Variables > New...)\n",
-                "# Test that the data has been installed as follows. (This assumes you downloaded the Brown Corpus):\n",
-                "\n",
-                "# then close the window to continue"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 58,
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "text/plain": [
-                            "(3150, 5)"
-                        ]
-                    },
-                    "execution_count": 58,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                }
-            ],
-            "source": [
-                "alexa = pd.read_csv('https://storage.googleapis.com/ml-service-repository-datastorage/Sentiment_analysis_on_amazon_alexa_reviews_amazon_alexa.tsv', delimiter = '\\t', quoting = 3)\n",
-                "\n",
-                "alexa.shape"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 59,
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "text/html": [
-                            "<div>\n",
-                            "<style scoped>\n",
-                            "    .dataframe tbody tr th:only-of-type {\n",
-                            "        vertical-align: middle;\n",
-                            "    }\n",
-                            "\n",
-                            "    .dataframe tbody tr th {\n",
-                            "        vertical-align: top;\n",
-                            "    }\n",
-                            "\n",
-                            "    .dataframe thead th {\n",
-                            "        text-align: right;\n",
-                            "    }\n",
-                            "</style>\n",
-                            "<table border=\"1\" class=\"dataframe\">\n",
-                            "  <thead>\n",
-                            "    <tr style=\"text-align: right;\">\n",
-                            "      <th></th>\n",
-                            "      <th>rating</th>\n",
-                            "      <th>date</th>\n",
-                            "      <th>variation</th>\n",
-                            "      <th>verified_reviews</th>\n",
-                            "      <th>feedback</th>\n",
-                            "    </tr>\n",
-                            "  </thead>\n",
-                            "  <tbody>\n",
-                            "    <tr>\n",
-                            "      <th>0</th>\n",
-                            "      <td>5</td>\n",
-                            "      <td>31-Jul-18</td>\n",
-                            "      <td>Charcoal Fabric</td>\n",
-                            "      <td>Love my Echo!</td>\n",
-                            "      <td>1</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>1</th>\n",
-                            "      <td>5</td>\n",
-                            "      <td>31-Jul-18</td>\n",
-                            "      <td>Charcoal Fabric</td>\n",
-                            "      <td>Loved it!</td>\n",
-                            "      <td>1</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>2</th>\n",
-                            "      <td>4</td>\n",
-                            "      <td>31-Jul-18</td>\n",
-                            "      <td>Walnut Finish</td>\n",
-                            "      <td>\"Sometimes while playing a game, you can answe...</td>\n",
-                            "      <td>1</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>3</th>\n",
-                            "      <td>5</td>\n",
-                            "      <td>31-Jul-18</td>\n",
-                            "      <td>Charcoal Fabric</td>\n",
-                            "      <td>\"I have had a lot of fun with this thing. My 4...</td>\n",
-                            "      <td>1</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>4</th>\n",
-                            "      <td>5</td>\n",
-                            "      <td>31-Jul-18</td>\n",
-                            "      <td>Charcoal Fabric</td>\n",
-                            "      <td>Music</td>\n",
-                            "      <td>1</td>\n",
-                            "    </tr>\n",
-                            "  </tbody>\n",
-                            "</table>\n",
-                            "</div>"
-                        ],
-                        "text/plain": [
-                            "   rating       date         variation  \\\n",
-                            "0       5  31-Jul-18  Charcoal Fabric    \n",
-                            "1       5  31-Jul-18  Charcoal Fabric    \n",
-                            "2       4  31-Jul-18    Walnut Finish    \n",
-                            "3       5  31-Jul-18  Charcoal Fabric    \n",
-                            "4       5  31-Jul-18  Charcoal Fabric    \n",
-                            "\n",
-                            "                                    verified_reviews  feedback  \n",
-                            "0                                      Love my Echo!         1  \n",
-                            "1                                          Loved it!         1  \n",
-                            "2  \"Sometimes while playing a game, you can answe...         1  \n",
-                            "3  \"I have had a lot of fun with this thing. My 4...         1  \n",
-                            "4                                              Music         1  "
-                        ]
-                    },
-                    "execution_count": 59,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                }
-            ],
-            "source": [
-                "alexa.head()"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 60,
-            "metadata": {},
-            "outputs": [
-                {
-                    "name": "stdout",
-                    "output_type": "stream",
-                    "text": [
-                        "<class 'pandas.core.frame.DataFrame'>\n",
-                        "RangeIndex: 3150 entries, 0 to 3149\n",
-                        "Data columns (total 5 columns):\n",
-                        " #   Column            Non-Null Count  Dtype \n",
-                        "---  ------            --------------  ----- \n",
-                        " 0   rating            3150 non-null   int64 \n",
-                        " 1   date              3150 non-null   object\n",
-                        " 2   variation         3150 non-null   object\n",
-                        " 3   verified_reviews  3150 non-null   object\n",
-                        " 4   feedback          3150 non-null   int64 \n",
-                        "dtypes: int64(2), object(3)\n",
-                        "memory usage: 123.2+ KB\n"
-                    ]
-                }
-            ],
-            "source": [
-                "alexa.info()"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 61,
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "text/html": [
-                            "<div>\n",
-                            "<style scoped>\n",
-                            "    .dataframe tbody tr th:only-of-type {\n",
-                            "        vertical-align: middle;\n",
-                            "    }\n",
-                            "\n",
-                            "    .dataframe tbody tr th {\n",
-                            "        vertical-align: top;\n",
-                            "    }\n",
-                            "\n",
-                            "    .dataframe thead th {\n",
-                            "        text-align: right;\n",
-                            "    }\n",
-                            "</style>\n",
-                            "<table border=\"1\" class=\"dataframe\">\n",
-                            "  <thead>\n",
-                            "    <tr style=\"text-align: right;\">\n",
-                            "      <th></th>\n",
-                            "      <th>rating</th>\n",
-                            "      <th>feedback</th>\n",
-                            "    </tr>\n",
-                            "  </thead>\n",
-                            "  <tbody>\n",
-                            "    <tr>\n",
-                            "      <th>count</th>\n",
-                            "      <td>3150.000000</td>\n",
-                            "      <td>3150.000000</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>mean</th>\n",
-                            "      <td>4.463175</td>\n",
-                            "      <td>0.918413</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>std</th>\n",
-                            "      <td>1.068506</td>\n",
-                            "      <td>0.273778</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>min</th>\n",
-                            "      <td>1.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>25%</th>\n",
-                            "      <td>4.000000</td>\n",
-                            "      <td>1.000000</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>50%</th>\n",
-                            "      <td>5.000000</td>\n",
-                            "      <td>1.000000</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>75%</th>\n",
-                            "      <td>5.000000</td>\n",
-                            "      <td>1.000000</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>max</th>\n",
-                            "      <td>5.000000</td>\n",
-                            "      <td>1.000000</td>\n",
-                            "    </tr>\n",
-                            "  </tbody>\n",
-                            "</table>\n",
-                            "</div>"
-                        ],
-                        "text/plain": [
-                            "            rating     feedback\n",
-                            "count  3150.000000  3150.000000\n",
-                            "mean      4.463175     0.918413\n",
-                            "std       1.068506     0.273778\n",
-                            "min       1.000000     0.000000\n",
-                            "25%       4.000000     1.000000\n",
-                            "50%       5.000000     1.000000\n",
-                            "75%       5.000000     1.000000\n",
-                            "max       5.000000     1.000000"
-                        ]
-                    },
-                    "execution_count": 61,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                }
-            ],
-            "source": [
-                "alexa.describe()"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 62,
-            "metadata": {},
-            "outputs": [
-                {
-                    "name": "stdout",
-                    "output_type": "stream",
-                    "text": [
-                        "| Feature  | Data Type|\n",
-                        "|-----|------|\n",
-                        "|rating          |   int64  |\n",
-                        "|date            |   str [ example: \"30-Jul-18\" ]  |\n",
-                        "|variation       |   str [ example: \"Configuration: Fire TV Stick\" ]  |\n",
-                        "|verified_reviews|   str [ example: \"Works as advertised. Very easy to setup. Still learning what this can do.\" ]  |\n",
-                        "|feedback        |   int64  |\n"
-                    ]
-                }
-            ],
-            "source": [
-                "def attribute_description(data):\n",
-                "    longestColumnName = len(max(np.array(data.columns), key=len))\n",
-                "    print(\"| Feature  | Data Type|\")\n",
-                "    print(\"|-----|------|\")\n",
-                "    for col in data.columns:\n",
-                "        description = ''\n",
-                "        col_dropna = data[col].dropna()\n",
-                "        example = col_dropna.sample(1).values[0]\n",
-                "        if type(example) == str:\n",
-                "            description = 'str '\n",
-                "            if len(col_dropna.unique()) < 10:\n",
-                "                description += '{'\n",
-                "                description += '; '.join([ f'\"{name}\"' for name in col_dropna.unique()])\n",
-                "                description += '}'\n",
-                "            else:\n",
-                "                description += '[ example: \"'+ example + '\" ]'\n",
-                "        elif (type(example) == np.int32) and (len(col_dropna.unique()) < 10) :\n",
-                "            description += 'dummy int32 {'\n",
-                "            description += '; '.join([ f'{name}' for name in sorted(col_dropna.unique())])\n",
-                "            description += '}'\n",
-                "        else:\n",
-                "            try:\n",
-                "                description = example.dtype\n",
-                "            except:\n",
-                "                 description = type(example)\n",
-                "        print(\"|\" + col.ljust(longestColumnName)+ f'|   {description}  |')\n",
-                " \n",
-                "attribute_description(alexa)"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 63,
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "text/plain": [
-                            "False"
-                        ]
-                    },
-                    "execution_count": 63,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                }
-            ],
-            "source": [
-                "# Es wird \u00fcberpr\u00fcft, ob es \"null data\" gibt oder nicht --> es geht hervor, dass es keine \"null data\" gibt\n",
-                "\n",
-                "alexa.isnull().any().any()\n",
-                "\n",
-                "\n",
-                "# ## Beschreibung der Daten entsprechend der L\u00e4nge der Bewertungen"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 64,
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "text/html": [
-                            "<div>\n",
-                            "<style scoped>\n",
-                            "    .dataframe tbody tr th:only-of-type {\n",
-                            "        vertical-align: middle;\n",
-                            "    }\n",
-                            "\n",
-                            "    .dataframe tbody tr th {\n",
-                            "        vertical-align: top;\n",
-                            "    }\n",
-                            "\n",
-                            "    .dataframe thead tr th {\n",
-                            "        text-align: left;\n",
-                            "    }\n",
-                            "\n",
-                            "    .dataframe thead tr:last-of-type th {\n",
-                            "        text-align: right;\n",
-                            "    }\n",
-                            "</style>\n",
-                            "<table border=\"1\" class=\"dataframe\">\n",
-                            "  <thead>\n",
-                            "    <tr>\n",
-                            "      <th></th>\n",
-                            "      <th colspan=\"8\" halign=\"left\">rating</th>\n",
-                            "      <th colspan=\"8\" halign=\"left\">feedback</th>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th></th>\n",
-                            "      <th>count</th>\n",
-                            "      <th>mean</th>\n",
-                            "      <th>std</th>\n",
-                            "      <th>min</th>\n",
-                            "      <th>25%</th>\n",
-                            "      <th>50%</th>\n",
-                            "      <th>75%</th>\n",
-                            "      <th>max</th>\n",
-                            "      <th>count</th>\n",
-                            "      <th>mean</th>\n",
-                            "      <th>std</th>\n",
-                            "      <th>min</th>\n",
-                            "      <th>25%</th>\n",
-                            "      <th>50%</th>\n",
-                            "      <th>75%</th>\n",
-                            "      <th>max</th>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>length</th>\n",
-                            "      <th></th>\n",
-                            "      <th></th>\n",
-                            "      <th></th>\n",
-                            "      <th></th>\n",
-                            "      <th></th>\n",
-                            "      <th></th>\n",
-                            "      <th></th>\n",
-                            "      <th></th>\n",
-                            "      <th></th>\n",
-                            "      <th></th>\n",
-                            "      <th></th>\n",
-                            "      <th></th>\n",
-                            "      <th></th>\n",
-                            "      <th></th>\n",
-                            "      <th></th>\n",
-                            "      <th></th>\n",
-                            "    </tr>\n",
-                            "  </thead>\n",
-                            "  <tbody>\n",
-                            "    <tr>\n",
-                            "      <th>50</th>\n",
-                            "      <td>21.0</td>\n",
-                            "      <td>4.904762</td>\n",
-                            "      <td>0.300793</td>\n",
-                            "      <td>4.0</td>\n",
-                            "      <td>5.00</td>\n",
-                            "      <td>5.0</td>\n",
-                            "      <td>5.0</td>\n",
-                            "      <td>5.0</td>\n",
-                            "      <td>21.0</td>\n",
-                            "      <td>1.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>1.00</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>1.0</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>467</th>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>5.000000</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>5.0</td>\n",
-                            "      <td>5.00</td>\n",
-                            "      <td>5.0</td>\n",
-                            "      <td>5.0</td>\n",
-                            "      <td>5.0</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>1.000000</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>1.00</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>1.0</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>313</th>\n",
-                            "      <td>2.0</td>\n",
-                            "      <td>5.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>5.0</td>\n",
-                            "      <td>5.00</td>\n",
-                            "      <td>5.0</td>\n",
-                            "      <td>5.0</td>\n",
-                            "      <td>5.0</td>\n",
-                            "      <td>2.0</td>\n",
-                            "      <td>1.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>1.00</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>1.0</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>8</th>\n",
-                            "      <td>41.0</td>\n",
-                            "      <td>4.853659</td>\n",
-                            "      <td>0.357839</td>\n",
-                            "      <td>4.0</td>\n",
-                            "      <td>5.00</td>\n",
-                            "      <td>5.0</td>\n",
-                            "      <td>5.0</td>\n",
-                            "      <td>5.0</td>\n",
-                            "      <td>41.0</td>\n",
-                            "      <td>1.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>1.00</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>1.0</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>142</th>\n",
-                            "      <td>6.0</td>\n",
-                            "      <td>4.333333</td>\n",
-                            "      <td>1.632993</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>5.00</td>\n",
-                            "      <td>5.0</td>\n",
-                            "      <td>5.0</td>\n",
-                            "      <td>5.0</td>\n",
-                            "      <td>6.0</td>\n",
-                            "      <td>0.833333</td>\n",
-                            "      <td>0.408248</td>\n",
-                            "      <td>0.0</td>\n",
-                            "      <td>1.00</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>1.0</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>595</th>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>5.000000</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>5.0</td>\n",
-                            "      <td>5.00</td>\n",
-                            "      <td>5.0</td>\n",
-                            "      <td>5.0</td>\n",
-                            "      <td>5.0</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>1.000000</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>1.00</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>1.0</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>204</th>\n",
-                            "      <td>4.0</td>\n",
-                            "      <td>4.750000</td>\n",
-                            "      <td>0.500000</td>\n",
-                            "      <td>4.0</td>\n",
-                            "      <td>4.75</td>\n",
-                            "      <td>5.0</td>\n",
-                            "      <td>5.0</td>\n",
-                            "      <td>5.0</td>\n",
-                            "      <td>4.0</td>\n",
-                            "      <td>1.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>1.00</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>1.0</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>325</th>\n",
-                            "      <td>2.0</td>\n",
-                            "      <td>5.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>5.0</td>\n",
-                            "      <td>5.00</td>\n",
-                            "      <td>5.0</td>\n",
-                            "      <td>5.0</td>\n",
-                            "      <td>5.0</td>\n",
-                            "      <td>2.0</td>\n",
-                            "      <td>1.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>1.00</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>1.0</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>116</th>\n",
-                            "      <td>14.0</td>\n",
-                            "      <td>4.142857</td>\n",
-                            "      <td>1.561909</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>4.25</td>\n",
-                            "      <td>5.0</td>\n",
-                            "      <td>5.0</td>\n",
-                            "      <td>5.0</td>\n",
-                            "      <td>14.0</td>\n",
-                            "      <td>0.785714</td>\n",
-                            "      <td>0.425815</td>\n",
-                            "      <td>0.0</td>\n",
-                            "      <td>1.00</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>1.0</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>1566</th>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>5.000000</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>5.0</td>\n",
-                            "      <td>5.00</td>\n",
-                            "      <td>5.0</td>\n",
-                            "      <td>5.0</td>\n",
-                            "      <td>5.0</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>1.000000</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>1.00</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>1.0</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>1311</th>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>3.000000</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>3.0</td>\n",
-                            "      <td>3.00</td>\n",
-                            "      <td>3.0</td>\n",
-                            "      <td>3.0</td>\n",
-                            "      <td>3.0</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>1.000000</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>1.00</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>1.0</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>12</th>\n",
-                            "      <td>36.0</td>\n",
-                            "      <td>4.944444</td>\n",
-                            "      <td>0.232311</td>\n",
-                            "      <td>4.0</td>\n",
-                            "      <td>5.00</td>\n",
-                            "      <td>5.0</td>\n",
-                            "      <td>5.0</td>\n",
-                            "      <td>5.0</td>\n",
-                            "      <td>36.0</td>\n",
-                            "      <td>1.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>1.00</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>1.0</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>160</th>\n",
-                            "      <td>5.0</td>\n",
-                            "      <td>5.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>5.0</td>\n",
-                            "      <td>5.00</td>\n",
-                            "      <td>5.0</td>\n",
-                            "      <td>5.0</td>\n",
-                            "      <td>5.0</td>\n",
-                            "      <td>5.0</td>\n",
-                            "      <td>1.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>1.00</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>1.0</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>103</th>\n",
-                            "      <td>12.0</td>\n",
-                            "      <td>4.583333</td>\n",
-                            "      <td>0.668558</td>\n",
-                            "      <td>3.0</td>\n",
-                            "      <td>4.00</td>\n",
-                            "      <td>5.0</td>\n",
-                            "      <td>5.0</td>\n",
-                            "      <td>5.0</td>\n",
-                            "      <td>12.0</td>\n",
-                            "      <td>1.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>1.00</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>1.0</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>41</th>\n",
-                            "      <td>11.0</td>\n",
-                            "      <td>4.454545</td>\n",
-                            "      <td>1.293340</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>5.00</td>\n",
-                            "      <td>5.0</td>\n",
-                            "      <td>5.0</td>\n",
-                            "      <td>5.0</td>\n",
-                            "      <td>11.0</td>\n",
-                            "      <td>0.909091</td>\n",
-                            "      <td>0.301511</td>\n",
-                            "      <td>0.0</td>\n",
-                            "      <td>1.00</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>1.0</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>632</th>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>4.000000</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>4.0</td>\n",
-                            "      <td>4.00</td>\n",
-                            "      <td>4.0</td>\n",
-                            "      <td>4.0</td>\n",
-                            "      <td>4.0</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>1.000000</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>1.00</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>1.0</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>166</th>\n",
-                            "      <td>4.0</td>\n",
-                            "      <td>4.000000</td>\n",
-                            "      <td>2.000000</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>4.00</td>\n",
-                            "      <td>5.0</td>\n",
-                            "      <td>5.0</td>\n",
-                            "      <td>5.0</td>\n",
-                            "      <td>4.0</td>\n",
-                            "      <td>0.750000</td>\n",
-                            "      <td>0.500000</td>\n",
-                            "      <td>0.0</td>\n",
-                            "      <td>0.75</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>1.0</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>170</th>\n",
-                            "      <td>8.0</td>\n",
-                            "      <td>5.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>5.0</td>\n",
-                            "      <td>5.00</td>\n",
-                            "      <td>5.0</td>\n",
-                            "      <td>5.0</td>\n",
-                            "      <td>5.0</td>\n",
-                            "      <td>8.0</td>\n",
-                            "      <td>1.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>1.00</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>1.0</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>324</th>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>2.000000</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>2.0</td>\n",
-                            "      <td>2.00</td>\n",
-                            "      <td>2.0</td>\n",
-                            "      <td>2.0</td>\n",
-                            "      <td>2.0</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>0.0</td>\n",
-                            "      <td>0.00</td>\n",
-                            "      <td>0.0</td>\n",
-                            "      <td>0.0</td>\n",
-                            "      <td>0.0</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>112</th>\n",
-                            "      <td>7.0</td>\n",
-                            "      <td>4.714286</td>\n",
-                            "      <td>0.487950</td>\n",
-                            "      <td>4.0</td>\n",
-                            "      <td>4.50</td>\n",
-                            "      <td>5.0</td>\n",
-                            "      <td>5.0</td>\n",
-                            "      <td>5.0</td>\n",
-                            "      <td>7.0</td>\n",
-                            "      <td>1.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>1.00</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>1.0</td>\n",
-                            "    </tr>\n",
-                            "  </tbody>\n",
-                            "</table>\n",
-                            "</div>"
-                        ],
-                        "text/plain": [
-                            "       rating                                               feedback  \\\n",
-                            "        count      mean       std  min   25%  50%  75%  max    count   \n",
-                            "length                                                                 \n",
-                            "50       21.0  4.904762  0.300793  4.0  5.00  5.0  5.0  5.0     21.0   \n",
-                            "467       1.0  5.000000       NaN  5.0  5.00  5.0  5.0  5.0      1.0   \n",
-                            "313       2.0  5.000000  0.000000  5.0  5.00  5.0  5.0  5.0      2.0   \n",
-                            "8        41.0  4.853659  0.357839  4.0  5.00  5.0  5.0  5.0     41.0   \n",
-                            "142       6.0  4.333333  1.632993  1.0  5.00  5.0  5.0  5.0      6.0   \n",
-                            "595       1.0  5.000000       NaN  5.0  5.00  5.0  5.0  5.0      1.0   \n",
-                            "204       4.0  4.750000  0.500000  4.0  4.75  5.0  5.0  5.0      4.0   \n",
-                            "325       2.0  5.000000  0.000000  5.0  5.00  5.0  5.0  5.0      2.0   \n",
-                            "116      14.0  4.142857  1.561909  1.0  4.25  5.0  5.0  5.0     14.0   \n",
-                            "1566      1.0  5.000000       NaN  5.0  5.00  5.0  5.0  5.0      1.0   \n",
-                            "1311      1.0  3.000000       NaN  3.0  3.00  3.0  3.0  3.0      1.0   \n",
-                            "12       36.0  4.944444  0.232311  4.0  5.00  5.0  5.0  5.0     36.0   \n",
-                            "160       5.0  5.000000  0.000000  5.0  5.00  5.0  5.0  5.0      5.0   \n",
-                            "103      12.0  4.583333  0.668558  3.0  4.00  5.0  5.0  5.0     12.0   \n",
-                            "41       11.0  4.454545  1.293340  1.0  5.00  5.0  5.0  5.0     11.0   \n",
-                            "632       1.0  4.000000       NaN  4.0  4.00  4.0  4.0  4.0      1.0   \n",
-                            "166       4.0  4.000000  2.000000  1.0  4.00  5.0  5.0  5.0      4.0   \n",
-                            "170       8.0  5.000000  0.000000  5.0  5.00  5.0  5.0  5.0      8.0   \n",
-                            "324       1.0  2.000000       NaN  2.0  2.00  2.0  2.0  2.0      1.0   \n",
-                            "112       7.0  4.714286  0.487950  4.0  4.50  5.0  5.0  5.0      7.0   \n",
-                            "\n",
-                            "                                                      \n",
-                            "            mean       std  min   25%  50%  75%  max  \n",
-                            "length                                                \n",
-                            "50      1.000000  0.000000  1.0  1.00  1.0  1.0  1.0  \n",
-                            "467     1.000000       NaN  1.0  1.00  1.0  1.0  1.0  \n",
-                            "313     1.000000  0.000000  1.0  1.00  1.0  1.0  1.0  \n",
-                            "8       1.000000  0.000000  1.0  1.00  1.0  1.0  1.0  \n",
-                            "142     0.833333  0.408248  0.0  1.00  1.0  1.0  1.0  \n",
-                            "595     1.000000       NaN  1.0  1.00  1.0  1.0  1.0  \n",
-                            "204     1.000000  0.000000  1.0  1.00  1.0  1.0  1.0  \n",
-                            "325     1.000000  0.000000  1.0  1.00  1.0  1.0  1.0  \n",
-                            "116     0.785714  0.425815  0.0  1.00  1.0  1.0  1.0  \n",
-                            "1566    1.000000       NaN  1.0  1.00  1.0  1.0  1.0  \n",
-                            "1311    1.000000       NaN  1.0  1.00  1.0  1.0  1.0  \n",
-                            "12      1.000000  0.000000  1.0  1.00  1.0  1.0  1.0  \n",
-                            "160     1.000000  0.000000  1.0  1.00  1.0  1.0  1.0  \n",
-                            "103     1.000000  0.000000  1.0  1.00  1.0  1.0  1.0  \n",
-                            "41      0.909091  0.301511  0.0  1.00  1.0  1.0  1.0  \n",
-                            "632     1.000000       NaN  1.0  1.00  1.0  1.0  1.0  \n",
-                            "166     0.750000  0.500000  0.0  0.75  1.0  1.0  1.0  \n",
-                            "170     1.000000  0.000000  1.0  1.00  1.0  1.0  1.0  \n",
-                            "324     0.000000       NaN  0.0  0.00  0.0  0.0  0.0  \n",
-                            "112     1.000000  0.000000  1.0  1.00  1.0  1.0  1.0  "
-                        ]
-                    },
-                    "execution_count": 64,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                }
-            ],
-            "source": [
-                "#Es wird eine L\u00e4ngenkolonne zur Analyse der L\u00e4nge der Bewertungen hinzugef\u00fcgt\n",
-                "\n",
-                "alexa['length'] = alexa['verified_reviews'].apply(len)\n",
-                "alexa.groupby('length').describe().sample(20)"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 65,
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "text/plain": [
-                            "Text(0.5, 1.0, 'Verteilung nach L\u00e4nge')"
-                        ]
-                    },
-                    "execution_count": 65,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                },
-                {
-                    "data": {
-                        "image/png": 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",
-                        "text/plain": [
-                            "<Figure size 576x360 with 1 Axes>"
-                        ]
-                    },
-                    "metadata": {},
-                    "output_type": "display_data"
-                }
-            ],
-            "source": [
-                "#veranschaulicht die Verteilung nach L\u00e4nge\n",
-                "\n",
-                "plt.figure(figsize=(8,5))\n",
-                "alexa.length.plot(color = 'lightblue',kind=\"box\")\n",
-                "plt.title(\"Verteilung nach L\u00e4nge\")"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 66,
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "text/plain": [
-                            "Text(0.5, 1.0, 'Durschnittliche Wortl\u00e4nge von positiven und negativen Bewertungen')"
-                        ]
-                    },
-                    "execution_count": 66,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                },
-                {
-                    "data": {
-                        "image/png": 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",
-                        "text/plain": [
-                            "<Figure size 1080x648 with 1 Axes>"
-                        ]
-                    },
-                    "metadata": {},
-                    "output_type": "display_data"
-                }
-            ],
-            "source": [
-                "#veranschaulicht die Durschnittliche Wortl\u00e4nge von positiven und negativen Bewertungen \n",
-                "\n",
-                "colors = ['teal', 'cadetblue']\n",
-                "alexa.groupby(\"feedback\").length.mean().plot(color = colors, kind=\"bar\")\n",
-                "plt.title(\"Durschnittliche Wortl\u00e4nge von positiven und negativen Bewertungen\")"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 67,
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "image/png": 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",
-                        "text/plain": [
-                            "<Figure size 1080x360 with 1 Axes>"
-                        ]
-                    },
-                    "metadata": {},
-                    "output_type": "display_data"
-                }
-            ],
-            "source": [
-                "alexa['length'].value_counts().plot.hist(color = 'lightblue', figsize = (15, 5), bins = 50)\n",
-                "plt.title('Verteilung der L\u00e4nge der Bewertungen')\n",
-                "plt.xlabel('lengths')\n",
-                "plt.ylabel('count')\n",
-                "plt.show()"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 68,
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "text/plain": [
-                            "'Love my Echo!'"
-                        ]
-                    },
-                    "execution_count": 68,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                }
-            ],
-            "source": [
-                "#zeigt ein paar Beispiele von verschiedenen Bewertungen mit verschiedenen L\u00e4ngen\n",
-                "\n",
-                "alexa[alexa['length'] == 13]['verified_reviews'].iloc[0]"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 69,
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "text/plain": [
-                            "'\"I love it, wife hates it.\"'"
-                        ]
-                    },
-                    "execution_count": 69,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                }
-            ],
-            "source": [
-                "alexa[alexa['length'] == 27]['verified_reviews'].iloc[0]"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 70,
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "text/plain": [
-                            "'Super easy set up and am loving our new Echo!'"
-                        ]
-                    },
-                    "execution_count": 70,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                }
-            ],
-            "source": [
-                "alexa[alexa['length'] == 45]['verified_reviews'].iloc[0]"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 71,
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "text/plain": [
-                            "'\"Love the Echo !!! I love the size, material and speaker quality. I have it hooked up to one light easily and will work on additional lights and thermostat. Next is Echo Dot for bedroom. There is a lot more to do with Echo that you think. Traffic, Weather, Trivia, etc.\"'"
-                        ]
-                    },
-                    "execution_count": 71,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                }
-            ],
-            "source": [
-                "alexa[alexa['length'] == 270]['verified_reviews'].iloc[0]\n",
-                "\n",
-                "\n",
-                "# ## Beschreibung der Daten entsprechend den Bewertungen"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 72,
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "text/html": [
-                            "<div>\n",
-                            "<style scoped>\n",
-                            "    .dataframe tbody tr th:only-of-type {\n",
-                            "        vertical-align: middle;\n",
-                            "    }\n",
-                            "\n",
-                            "    .dataframe tbody tr th {\n",
-                            "        vertical-align: top;\n",
-                            "    }\n",
-                            "\n",
-                            "    .dataframe thead tr th {\n",
-                            "        text-align: left;\n",
-                            "    }\n",
-                            "\n",
-                            "    .dataframe thead tr:last-of-type th {\n",
-                            "        text-align: right;\n",
-                            "    }\n",
-                            "</style>\n",
-                            "<table border=\"1\" class=\"dataframe\">\n",
-                            "  <thead>\n",
-                            "    <tr>\n",
-                            "      <th></th>\n",
-                            "      <th colspan=\"8\" halign=\"left\">feedback</th>\n",
-                            "      <th colspan=\"8\" halign=\"left\">length</th>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th></th>\n",
-                            "      <th>count</th>\n",
-                            "      <th>mean</th>\n",
-                            "      <th>std</th>\n",
-                            "      <th>min</th>\n",
-                            "      <th>25%</th>\n",
-                            "      <th>50%</th>\n",
-                            "      <th>75%</th>\n",
-                            "      <th>max</th>\n",
-                            "      <th>count</th>\n",
-                            "      <th>mean</th>\n",
-                            "      <th>std</th>\n",
-                            "      <th>min</th>\n",
-                            "      <th>25%</th>\n",
-                            "      <th>50%</th>\n",
-                            "      <th>75%</th>\n",
-                            "      <th>max</th>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>rating</th>\n",
-                            "      <th></th>\n",
-                            "      <th></th>\n",
-                            "      <th></th>\n",
-                            "      <th></th>\n",
-                            "      <th></th>\n",
-                            "      <th></th>\n",
-                            "      <th></th>\n",
-                            "      <th></th>\n",
-                            "      <th></th>\n",
-                            "      <th></th>\n",
-                            "      <th></th>\n",
-                            "      <th></th>\n",
-                            "      <th></th>\n",
-                            "      <th></th>\n",
-                            "      <th></th>\n",
-                            "      <th></th>\n",
-                            "    </tr>\n",
-                            "  </thead>\n",
-                            "  <tbody>\n",
-                            "    <tr>\n",
-                            "      <th>1</th>\n",
-                            "      <td>161.0</td>\n",
-                            "      <td>0.0</td>\n",
-                            "      <td>0.0</td>\n",
-                            "      <td>0.0</td>\n",
-                            "      <td>0.0</td>\n",
-                            "      <td>0.0</td>\n",
-                            "      <td>0.0</td>\n",
-                            "      <td>0.0</td>\n",
-                            "      <td>161.0</td>\n",
-                            "      <td>195.658385</td>\n",
-                            "      <td>212.928219</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>36.00</td>\n",
-                            "      <td>120.0</td>\n",
-                            "      <td>284.00</td>\n",
-                            "      <td>1126.0</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>2</th>\n",
-                            "      <td>96.0</td>\n",
-                            "      <td>0.0</td>\n",
-                            "      <td>0.0</td>\n",
-                            "      <td>0.0</td>\n",
-                            "      <td>0.0</td>\n",
-                            "      <td>0.0</td>\n",
-                            "      <td>0.0</td>\n",
-                            "      <td>0.0</td>\n",
-                            "      <td>96.0</td>\n",
-                            "      <td>250.020833</td>\n",
-                            "      <td>270.179472</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>78.75</td>\n",
-                            "      <td>165.0</td>\n",
-                            "      <td>311.25</td>\n",
-                            "      <td>1688.0</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>3</th>\n",
-                            "      <td>152.0</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>0.0</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>152.0</td>\n",
-                            "      <td>208.098684</td>\n",
-                            "      <td>272.582517</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>54.00</td>\n",
-                            "      <td>131.0</td>\n",
-                            "      <td>286.00</td>\n",
-                            "      <td>1956.0</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>4</th>\n",
-                            "      <td>455.0</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>0.0</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>455.0</td>\n",
-                            "      <td>179.338462</td>\n",
-                            "      <td>216.415268</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>34.50</td>\n",
-                            "      <td>100.0</td>\n",
-                            "      <td>242.00</td>\n",
-                            "      <td>1362.0</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>5</th>\n",
-                            "      <td>2286.0</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>0.0</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>2286.0</td>\n",
-                            "      <td>109.006562</td>\n",
-                            "      <td>152.505019</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>27.00</td>\n",
-                            "      <td>65.0</td>\n",
-                            "      <td>136.00</td>\n",
-                            "      <td>2853.0</td>\n",
-                            "    </tr>\n",
-                            "  </tbody>\n",
-                            "</table>\n",
-                            "</div>"
-                        ],
-                        "text/plain": [
-                            "       feedback                                     length              \\\n",
-                            "          count mean  std  min  25%  50%  75%  max   count        mean   \n",
-                            "rating                                                                   \n",
-                            "1         161.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0   161.0  195.658385   \n",
-                            "2          96.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0    96.0  250.020833   \n",
-                            "3         152.0  1.0  0.0  1.0  1.0  1.0  1.0  1.0   152.0  208.098684   \n",
-                            "4         455.0  1.0  0.0  1.0  1.0  1.0  1.0  1.0   455.0  179.338462   \n",
-                            "5        2286.0  1.0  0.0  1.0  1.0  1.0  1.0  1.0  2286.0  109.006562   \n",
-                            "\n",
-                            "                                                       \n",
-                            "               std  min    25%    50%     75%     max  \n",
-                            "rating                                                 \n",
-                            "1       212.928219  1.0  36.00  120.0  284.00  1126.0  \n",
-                            "2       270.179472  1.0  78.75  165.0  311.25  1688.0  \n",
-                            "3       272.582517  1.0  54.00  131.0  286.00  1956.0  \n",
-                            "4       216.415268  1.0  34.50  100.0  242.00  1362.0  \n",
-                            "5       152.505019  1.0  27.00   65.0  136.00  2853.0  "
-                        ]
-                    },
-                    "execution_count": 72,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                }
-            ],
-            "source": [
-                "#zeigt die Verteilung der Sterne-Bewertungen an --> es geht hervor, dass am h\u00e4ufigsten 5 Sterne vergeben werden\n",
-                "\n",
-                "alexa.groupby('rating').describe()"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 73,
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "text/plain": [
-                            "1    2893\n",
-                            "0     257\n",
-                            "Name: feedback, dtype: int64"
-                        ]
-                    },
-                    "execution_count": 73,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                }
-            ],
-            "source": [
-                "#zeigt in welche Richtung (positiv/negativ) die Bewertungen gehen --> es geht hervor, dass die Bewertungen eher positiv ausfallen\n",
-                "\n",
-                "alexa.feedback.value_counts()\n",
-                "\n",
-                "\n",
-                "# ## Verteilung der positiven und negativen Bewertungen\n",
-                "# "
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 74,
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "text/plain": [
-                            "Text(0.5, 1.0, 'Prozentuale Verteilung von positiven und negativen Bewertungen')"
-                        ]
-                    },
-                    "execution_count": 74,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                },
-                {
-                    "data": {
-                        "image/png": 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",
-                        "text/plain": [
-                            "<Figure size 1080x648 with 1 Axes>"
-                        ]
-                    },
-                    "metadata": {},
-                    "output_type": "display_data"
-                }
-            ],
-            "source": [
-                "#zeigt diprozentuale Verteilung von positiven und negativen Bewertungen an --> es geht hervor, dass Alexa sehr gut abschneidet\n",
-                " \n",
-                "colors = ['lightskyblue', 'teal']\n",
-                "alexa.groupby(\"feedback\").rating.count().plot(colors=colors,kind=\"pie\",shadow=True, autopct='%1.1f%%',explode=(0.1,0.1))\n",
-                "plt.title(\"Prozentuale Verteilung von positiven und negativen Bewertungen\")"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 75,
-            "metadata": {},
-            "outputs": [
-                {
-                    "name": "stdout",
-                    "output_type": "stream",
-                    "text": [
-                        "Percentage of negative reviews:  8.158730158730158\n",
-                        "Percentage of Positive reviews:  91.84126984126983\n"
-                    ]
-                }
-            ],
-            "source": [
-                "print(\"Percentage of negative reviews: \", (len(alexa[alexa['feedback'] == 0]) * 100)/len(alexa))\n",
-                "print(\"Percentage of Positive reviews: \", (len(alexa[alexa['feedback'] == 1]) * 100)/len(alexa))"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 76,
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "text/plain": [
-                            "Text(0.5, 1.0, 'Prozentuale Verteilung nach Anzahl der Sterne')"
-                        ]
-                    },
-                    "execution_count": 76,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                },
-                {
-                    "data": {
-                        "image/png": 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",
-                        "text/plain": [
-                            "<Figure size 1080x648 with 1 Axes>"
-                        ]
-                    },
-                    "metadata": {},
-                    "output_type": "display_data"
-                }
-            ],
-            "source": [
-                "#visualisiert die prozentuale Verteilung nach Anzahl der Sterne\n",
-                "\n",
-                "colors = ['lightskyblue', 'teal', 'darkgrey', 'cadetblue', 'powderblue']\n",
-                "alexa.groupby(\"rating\").feedback.count().plot(colors=colors,kind=\"pie\",shadow=True,autopct='%1.1f%%',explode=(0.1,0.1,0.1,0.1,0.1))\n",
-                "plt.title(\"Prozentuale Verteilung nach Anzahl der Sterne\")\n",
-                "\n",
-                "\n",
-                "# ## Rating vs. L\u00e4nge\n",
-                "# \n",
-                "# "
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 77,
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "text/plain": [
-                            "Text(0.5, 1.0, 'Rating vs. L\u00e4nge')"
-                        ]
-                    },
-                    "execution_count": 77,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                },
-                {
-                    "data": {
-                        "image/png": 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",
-                        "text/plain": [
-                            "<Figure size 1080x648 with 1 Axes>"
-                        ]
-                    },
-                    "metadata": {},
-                    "output_type": "display_data"
-                }
-            ],
-            "source": [
-                "#veranschaulicht die Verteilung der Bewertungen nach Sternevergabe und L\u00e4nge\n",
-                "\n",
-                "colors = ['lightskyblue', 'teal', 'darkgrey', 'cadetblue', 'powderblue']\n",
-                "alexa.groupby(\"rating\").length.mean().plot(color= colors,kind=\"bar\")\n",
-                "plt.title(\"Rating vs. L\u00e4nge\")\n",
-                "\n",
-                "\n",
-                "# ## Variation vs. Rating "
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 78,
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "image/png": 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",
-                        "text/plain": [
-                            "<Figure size 1080x648 with 1 Axes>"
-                        ]
-                    },
-                    "metadata": {},
-                    "output_type": "display_data"
-                }
-            ],
-            "source": [
-                "plt.rcParams['figure.figsize'] = (15, 9)\n",
-                "\n",
-                "sns.boxenplot(alexa['variation'], alexa['rating'], palette = 'ocean')\n",
-                "plt.title(\"Variation vs Ratings\")\n",
-                "plt.xticks(rotation = 60)\n",
-                "plt.show()\n",
-                "\n",
-                "\n",
-                "# ## Variation vs. L\u00e4nge "
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 79,
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "image/png": 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",
-                        "text/plain": [
-                            "<Figure size 1080x648 with 1 Axes>"
-                        ]
-                    },
-                    "metadata": {},
-                    "output_type": "display_data"
-                }
-            ],
-            "source": [
-                "sns.swarmplot(alexa['variation'], alexa['length'], palette = 'ocean')\n",
-                "plt.title(\"Variation vs Length of Ratings\")\n",
-                "plt.xticks(rotation = 90)\n",
-                "plt.show()\n",
-                "\n",
-                "\n",
-                "# ## Feedback vs. L\u00e4nge\n",
-                "# "
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 80,
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "image/png": 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",
-                        "text/plain": [
-                            "<Figure size 864x504 with 1 Axes>"
-                        ]
-                    },
-                    "metadata": {},
-                    "output_type": "display_data"
-                }
-            ],
-            "source": [
-                "\n",
-                "warnings.filterwarnings('ignore')\n",
-                "\n",
-                "plt.rcParams['figure.figsize'] = (12, 7)\n",
-                "\n",
-                "sns.stripplot(alexa['feedback'], alexa['length'], palette = 'ocean')\n",
-                "plt.title(\"Feedback vs. L\u00e4nge\")\n",
-                "plt.show()"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 81,
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "text/plain": [
-                            "2893"
-                        ]
-                    },
-                    "execution_count": 81,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                }
-            ],
-            "source": [
-                "sum(alexa['feedback'] == 1)"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 82,
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "text/plain": [
-                            "<seaborn.axisgrid.FacetGrid at 0x18d5e8bd1c0>"
-                        ]
-                    },
-                    "execution_count": 82,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                },
-                {
-                    "data": {
-                        "image/png": 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",
-                        "text/plain": [
-                            "<Figure size 360x360 with 1 Axes>"
-                        ]
-                    },
-                    "metadata": {},
-                    "output_type": "display_data"
-                }
-            ],
-            "source": [
-                "sns.lmplot(x='length',y='rating',data=alexa)"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 83,
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "image/png": 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GY9KnT6+aNWtq06ZNKlu2rOrWravSpUurePHi0Wr8N1q1aqUffvhBy5cv18cff2zevnz5ctnZ2ally5bmbVGveWhoaIyvedRNkzNnzkTblz9//hh7IqRIkUIlS5bUrl27dOvWLbm6umr37t3KkyePihQpohw5cmjXrl3q27evrly5ogsXLqhu3brmLun/9vWOqet91Gz7wcHB5m1RS2uVLVs22vEeHh7KnDmz/vrrL4vthw4dkr29vdatW6d169ZFO+/Jkyd69uyZzp8/H2MdL4t6/a9evRrj63/hwgVJMb/+MV0/WbJkcnFxsXier/PRRx9p+fLl2r17t1q2bKmrV6/qwoULatSokfmY8uXLa8mSJQoLC1OaNGmi9VoIDQ3VhQsX5OLiojx58kR7jKjjYlrOLGXKlMqfP3+c642SEO/d2AQGBmrDhg0W2zJkyKBu3bq9SckxinpNYusd9NFHH+nYsWM6duyYSpQoYbEvpveuvb29SpYsqatXryowMNDcq+FNTJ48Wd9//73y5Mmj2bNnv/H5AJDQCOAA8Ao3b96UJGXMmPGVx/3999+SpMWLF7/yuLCwsDg/dkwtNFFdv2NrvUmaNKkiIiLMPwcHB8tkMunvv/+Wt7f3Kx/vwYMHsQZw6XkX4WnTpsnX11cTJ06U9Dw01axZU2PGjImxm+2bKlasmLy8vLR161bdu3dPTk5OOnv2rI4cOaKyZctatPZGvea7d+9+Zc+CmF5zFxeXWI+vWLGidu3aZW6hPHz4sD777DNJzwPFsmXLFB4eHmP383/7ese05nZUa/aL6xNHteK93LX7xef3cgD/+++/FREREae64iLq9V+7du0rl62L6fV/cSz0i5ImTfpG6zBHBb+oVu2YZjevUKGCFixYoAMHDqhixYo6ePCgUqZMqVKlSkn6/9cytvdE6tSplT59+hhbRDNmzPjam3MxSaj3bkyOHz8e7d88a9as8RLAX/faRQ2ZiOm1i+2cqPd0TJMVvs4333yjMWPGKF++fPLz84vx9ynqszO260dtj+09CgD/FgEcAGJx/vx5Xbt2Tfb29q9tEYz6Urdr1644tR5aS1RdefPmNU8k9rZSpUqlgQMHauDAgbpx44YOHDigVatWad26dTp9+rT2799vMW77bbVq1UrDhw/XypUr1bVrVy1btsy8/UVRz23MmDHq0aPHGz3Gq0JTVKDetWuXHB0d9fTpU/O2ihUr6ocfftChQ4diDODx+Xq/StTj3LlzJ8b9t2/fjvGcp0+fmmc2j68aFi1aFG0ZMGvJlCmTvLy8dObMGQUFBWnPnj1KmTKlRWtrVPf43bt3K3Xq1AoLC1OFChWUMmVKSf//PGJ6zaTnvRpCQkJivDn1NuH7xceM7/duTFq3bh3jsmLx4XWvXdTM+jHdMIztnKj39OsmvXzZmDFj9M0336hw4cL6+eefLYZyvMjT01N//PGHzp07F+2zOiIiQpcvX5a9vb3FzT4AiE+MAQeAWES1GtWuXfu13ayjZh0/cOBAgtf1JtKmTau8efMqKCjotePY30SmTJnUqFEjLV++XCVKlFBQUJBOnz5t3p8kSRJFRka+1bWbN2+upEmTavny5YqMjNTKlSuVJk2aaBNgRYWs+H7NCxUqpAwZMmjPnj3avXu3kiVLZu4uW6FCBSVJkkS7du3Snj17lClTJn3wwQfmcxPq9Y6pRknmpa5edOnSJV27di3a9uLFiys0NDTaHAGvElPr+4vXk4x/z784Dnzv3r0qXry4OVxLz1tU8+TJY9Ha/OJNk3Tp0ilHjhy6ffu2xXs4SlTr+pveWIt67WL6PUio9661Rb0PY1qSUXr1axfTezciIsLcPT+mmdNjM2TIEH3zzTcqXry4/Pz8Yg3f0vMhCZK0bdu2GGt6+PChSpQowQzoABIMARwAXhIcHKz+/ftr5cqVcnR01IgRI157Tps2beTg4KBJkyYpICAg2n6TyaQDBw7Eup5zQurevbuePn2qbt266Z9//om2PzQ0VIcPH37lNe7evas///wz2vbHjx+bu5e+OBHVe++9p7t37+rRo0dvXK+bm5uqVKmiwMBAzZgxQ9evX1e9evWi3QQpXLiwypYtq19//VULFy6Mca3mc+fOvXGLb9KkSVWuXDldvXpVP/30k4oWLWp+bEdHRxUoUEBLlizRrVu3Yhz7Gh+v9+s0bdpUyZIl09y5cy3WWo6MjNTIkSNjDMzdu3eXJPXp0yfGgB4eHh4tEEa1+sb0GtauXVs5cuTQggUL9Ouvv8ZY57Fjx8zdrRNKVJj+4YcfdP369Rj/TcqVK6fjx4+bx76/vGxc1FJpQ4cOtVgzPCQkRKNGjZL0fFKxN/Gq1y6h3rvWVqdOHb333nvy8/OLFqiXLl2qP/74Q3ny5Im2LKL0PJxv3rzZYtusWbN09epVVapUKU7jv00mk/r166eZM2eqTJky+vnnn1/bdbx+/fpycnLSmjVrLCY2DA8PN69M8Omnn772sQHgbdEFHcB/WtQESJGRkQoJCVFQUJAOHDigR48eycvLS7Nnz1aOHDleex1HR0ctWrRIbdq0UfXq1VWhQgXlzp1byZIl07Vr13T48GFdvXpVly5dsphl2Rpat26tY8eOac6cOSpcuLCqVKkid3d33b9/X3/99Zf279+vSpUqmbt6xyQq2OTNm1f58uVT5syZFRYWph07duj8+fOqV6+exbq9lSpV0qpVq9S4cWOVKVNGKVKkUP78+c1Le71Oq1attGXLFnP4ebn7eZR58+apfv366t27t2bPnq3ixYvL0dFR169f1+nTpxUYGKglS5Yoa9asb/CKPQ9oGzZs0J07d9SxY0eLfR999JF8fHzMx70sPl7v18mWLZuGDx+uoUOHqkKFCmrYsKEcHR21fft2BQcHK1++fDpx4oTFORUqVNDo0aM1fPhwFS1aVNWqVZOHh4fCw8N15coV7d+/X+7u7tq3b5/5nEqVKun3339X27ZtVb16daVMmVJZs2ZVixYtlCxZMi1ZskSNGjVSq1atVKxYMRUqVEhp0qTRtWvXFBgYaO4W/qq5Bf6tcuXKKUmSJDp58qT5eb6sfPnymjt3rk6ePKn06dObl5GL0r17d23btk3btm1TmTJlVKNGDT19+lTr1q3T9evX1aJFCzVo0OCN6qpUqZJ++eUX9e7d23wDKUOGDOrcubOkhHvvWlOaNGk0c+ZMtWvXTg0aNFC9evXk4eGhP//8U1u2bFGGDBk0a9asGLvN16hRQ61btzafExgYqG3btum9997TN998E6fH9/b21g8//KDkyZOrWLFimj59erRj3N3dLbrgp0+fXtOmTVO7du1Ut25dNWrUSI6Ojtq4caOCgoJUv359i0n8ACC+EcAB/KdFdTNPliyZ0qZNq/fff1/169dXnTp1VLNmzTca01yhQgX5+/vru+++0/bt2xUQECB7e3u5urqqRIkS5nWbjTBx4kRVr15d8+fP1759+/TPP/8oQ4YMev/999WpU6doSyG9zN3dXUOGDNHevXvl7++vu3fvKkOGDMqRI4d69+4dLSCPHz/e3FX74MGDioyMVMuWLeMcwGvVqiVHR0f9888/0db+flGmTJm0c+dOzZ07V35+flq9erWePn0qFxcX5cqVS97e3rGe+yovBuuXQ3bFihXNATy22Z//7esdFz169JCbm5umTZumFStWKG3atKpSpYpGjhypTp06xXhOz549VapUKX3//fc6cOCANm3aZF6uq1mzZmrYsKHF8f3791dISIg2btwoHx8fRUREqGzZsmrRooWk52Pd/f39NWvWLP36669avny5TCaTXF1dlTt3bvXs2VOenp7/+rm+ioODgwoXLqzff/9dadOmVdGiRaMdU758efNSemXLlo22TFvy5Mm1Zs0azZo1SytXrtS8efOUJEkS5cmTR4MGDTK3kL+Jtm3b6urVq/L19dXMmTP19OlTZc2a1RzAE+q9a201a9bUli1bNHnyZO3evVt+fn5ydnZWy5YtNWDAgFjHUterV0+ffPKJJk+erE2bNilZsmSqX7++hg8fHqebnpJ0+fJlSc9n8J82bVqMx5QtWzbaGPg6depo48aNmjRpktauXavHjx8rR44cGjt2rLp06fLWY/sBIC7sgoODo/d7AgAAAOLZ+PHj5e3trRkzZiTY5HAAYMsYAw4AAAAAgBUQwAEAAAAAsII4BXB/f3+1aNFCefLkkYODg5YuXWqx32Qyafz48cqdO7fc3NxUp04dnTp1yuKY4OBgde7cWe7u7nJ3d1fnzp0VHBxsccyJEydUu3Ztubm5KU+ePPL29o5xZlAAAAAAABKbOAXwsLAw5c2bVxMmTFCqVKmi7ffx8dGMGTPk7e2tHTt2yNnZWQ0bNlRoaKj5mE6dOikwMFC+vr7y9fVVYGCgPv/8c/P+kJAQNWzYUC4uLtqxY4cmTJig6dOn67vvvouHpwkAAACjDR48WMHBwYz/BvCf9caTsGXOnFkTJ040f3CaTCblzp1bn332mb744gtJ0qNHj+Tp6anRo0erQ4cOOnPmjEqWLKlNmzapVKlSkqQDBw6oVq1a+u233+Tp6an58+drxIgROnv2rDnkT5o0ST/88INOnjzJjJQAAAAAgETtX48Bv3z5sm7duqXKlSubt6VKlUplypTRoUOHJEkBAQFKmzatSpYsaT6mVKlSSpMmjcUxpUuXtmhhr1Klim7cuGFeZgIAAAAAgMTqXwfwW7duSZKcnZ0ttjs7O+v27duSpNu3b8vJycmiFdvOzk4ZM2a0OCama0TtAwAAAAAgMWMW9BgEBQUZXcJbo3ZjULsxqN0Y1G4MajcGtRuD2o1B7cagdmMYVfu/DuCurq6SpDt37lhsv3PnjlxcXCRJLi4uunfvnsWM5iaTSXfv3rU4JqZrRO0DAAAAACAx+9cBPFu2bHJ1ddXOnTvN28LDw3XgwAHzmO8SJUrowYMHCggIMB8TEBCgsLAwi2MOHDig8PBw8zE7d+5UpkyZlC1btn9bJgAAAAAAhopTAH/w4IECAwMVGBioyMhIXb16VYGBgbpy5Yrs7OzUtWtX+fj4aO3atTp58qS6deumNGnSqEmTJpIkLy8vVa1aVX379lVAQIACAgLUt29f1ahRQ56enpKkJk2aKFWqVOrWrZtOnjyptWvXaurUqerWrRszoAMAAAAAEj37uBz0xx9/6OOPPzb/PH78eI0fP14tW7bUrFmz1Lt3bz169EhffvmlgoODVbRoUa1Zs0bp0qUznzNv3jwNGDBAjRs3liTVqlVLEydONO/PkCGDfv75Z33xxReqVKmSHBwc1L17d/Xo0SO+nisAAAAAAIaJUwAvX768goODY91vZ2enwYMHa/DgwbEe4+DgoDlz5rzycfLly6eNGzfGpSQAAAAAQDyIiIhQWFjYG5+XMmVK3b9/PwEqSnj/pnZ7e3ulSZPm7c59q7MAAAAAAIleRESEQkND5eDg8MZDf1OkSKGUKVMmUGUJ69/UHhYWpsePHytFihRvfC7LkAEAAADAf1RYWNhbhe//stSpU1tMHv4mCOAAAAAA8B9G+H4z/+b1IoADAAAAAGAFBHAAAAAAAKyAAA4AAAAASFQiIyPVp08fZc+eXQ4ODtq7d6/RJcUJs6ADAAAAACw4THWw6uMF9wl+o+O3bNmipUuXav369fLw8JCjo2PCFBbPCOAAAAAAgETlwoULcnV1VcmSJWPc/+TJEyVPntzKVb3efyaAJ+QdnDe9WwMAAAAAeDtdu3bV8uXLJUkODg7KmjWr3N3d5eXlpdSpU2v58uVyd3fXzp07dfr0aQ0bNkz79+9XypQpVbFiRY0bN04ZMmSQJD179kzDhw/X4sWLJUktW7bUkydPdObMGW3YsCHea2cMOAAAAAAg0ZgwYYIGDBigzJkz68yZM9q5c6ckaeXKlTKZTNq4caO+//573bx5U7Vr11aePHm0fft2/fLLL3rw4IFatWqlyMhISdJ3332nRYsWaerUqdq6dauePXumVatWJVjt/5kWcAAAAABA4pchQwalS5dOSZIkkaurq3m7u7u7xo4da/557Nixyp8/v0aOHGneNnv2bHl4eOjo0aMqU6aMZs2apV69eqlhw4aSJG9vb+3YsSPBaieAAwAAAAASvcKFC1v8fOzYMe3fv1+ZM2eOduzly5eVL18+3bx5U8WLFzdvT5IkiYoWLapr164lSI0EcAAAAABAopcmTRqLnyMjI1W9enWNGTMm2rHp06e3VlkWCOAAAAAAgHdOoUKF9PPPPytr1qxKliyZxb7w8HClTJlSbm5uOnz4sCpWrChJMplM+v333y26tscnJmEDAAAAALxzOnXqpJCQEHXo0EGHDx/WpUuXtGvXLvXu3VsPHjyQJHXp0kU+Pj7y8/NTUFCQBg0apFu3biVYTbSAAwAAAAAsxGWp5ahWZFuVKVMmbd68WSNHjlTjxo31+PFjZcmSRZUqVTKvEd6jRw/dunVLPXv2lCQ1b95cTZs21ZkzZxKkJgI4AAAAACBR6dmzpzk0S4p1ze6cOXNq0aJF0baHh4dLkuzt7TV+/HiNHz/evO/LL7+M52r/H13QAQAAAACwAgI4AAAAAABWQBd0AAAAAAD+Z9KkSQl2bVrAAQAAAACwAgI4AAAAAABWQAAHAAAAgP8wk8lkdAmJyr95vQjgAAAAAPAflSZNGgUHBxPC38DDhw/fev1zJmEDAAAAgP8oe3t7pUuXTiEhIW98bkhIiNKnT58AVSW8f1O7vb29UqRI8XbnvtVZAAAAAIB3gr29vTJkyPDG592+fVtZs2ZNgIoSnlG10wUdAAAAAAArIIADAAAAAGAFBHAAAAAAAKyAAA4AAAAAgBUQwAEAAAAAsAICOAAAAAAAVkAABwAAAADACgjgAAAAAABYAQEcAAAAAAArIIADAAAAAGAFBHAAAAAAAKyAAA4AAAAAgBUQwAEAAAAAsAICOAAAAAAAVkAABwAAAADACgjgAAAAAABYAQEcAAAAAAArIIADAAAAAGAFBHAAAAAAAKyAAA4AAAAAgBUQwAEAAAAAsAICOAAAAAAAVkAABwAAAADACuyNLgCv5zA0a4JdO3jMlQS7NgAAAADg/9ECDgAAAACAFRDAAQAAAACwAgI4AAAAAABWQAAHAAAAAMAKCOAAAAAAAFgBARwAAAAAACsggAMAAAAAYAUEcAAAAAAArIAADgAAAACAFcRLAH/27JnGjBmjggULytXVVQULFtSYMWMUERFhPsZkMmn8+PHKnTu33NzcVKdOHZ06dcriOsHBwercubPc3d3l7u6uzp07Kzg4OD5KBAAAAADAUPESwKdOnap58+bJ29tbAQEBmjBhgubOnavJkyebj/Hx8dGMGTPk7e2tHTt2yNnZWQ0bNlRoaKj5mE6dOikwMFC+vr7y9fVVYGCgPv/88/goEQAAAAAAQ9nHx0UCAgJUs2ZN1apVS5KULVs21apVS0eOHJH0vPV71qxZ6tOnj+rXry9JmjVrljw9PeXr66sOHTrozJkz2rZtmzZt2qQSJUpIkqZMmaJatWopKChInp6e8VEqAAAAAACGiJcW8FKlSmnfvn06e/asJOn06dPau3evqlWrJkm6fPmybt26pcqVK5vPSZUqlcqUKaNDhw5Jeh7i06ZNq5IlS1pcN02aNOZjAAAAAABIrOKlBbxPnz568OCBSpYsqaRJkyoiIkJffPGFOnXqJEm6deuWJMnZ2dniPGdnZ924cUOSdPv2bTk5OcnOzs68387OThkzZtTt27djfeygoKD4eAr/ii3U8LZsrXZbq+dNULsxqN0Y1G4MajcGtRuD2o1B7cagdmMkRO2v67kdLwF8zZo1WrFihebNm6fcuXPr+PHjGjRokNzd3dWuXbv4eIhY2ULXdFuo4W3ZUu2JeagBtRuD2o1B7cagdmNQuzGo3RjUbgxqN4ZRtcdLAB82bJh69Oihxo0bS5Ly5cunK1euaMqUKWrXrp1cXV0lSXfu3FHWrFnN5925c0cuLi6SJBcXF927d08mk8ncCm4ymXT37l3zMQAAAAAAJFbxMgb84cOHSpo0qcW2pEmTKjIyUtLzSdlcXV21c+dO8/7w8HAdOHDAPOa7RIkSevDggQICAszHBAQEKCwszGJcOAAAAAAAiVG8tIDXrFlTU6dOVbZs2ZQ7d24FBgZqxowZatGihaTnY7m7du2qyZMny9PTU7ly5dI333yjNGnSqEmTJpIkLy8vVa1aVX379tXUqVMlSX379lWNGjUSbbcGAAAAAACixEsAnzhxosaOHav+/fvr7t27cnV11SeffKIBAwaYj+ndu7cePXqkL7/8UsHBwSpatKjWrFmjdOnSmY+ZN2+eBgwYYO7KXqtWLU2cODE+SgQAAAAAwFDxEsDTpUunCRMmaMKECbEeY2dnp8GDB2vw4MGxHuPg4KA5c+bER0kAAAAAANiUeBkDDgAAAAAAXo0ADgAAAACAFRDAAQAAAACwAgI4AAAAAABWQAAHAAAAAMAKCOAAAAAAAFgBARwAAAAAACsggAMAAAAAYAUEcAAAAAAArIAADgAAAACAFRDAAQAAAACwAgI4AAAAAABWQAAHAAAAAMAKCOAAAAAAAFgBARwAAAAAACsggAMAAAAAYAUEcAAAAAAArIAADgAAAACAFdgbXQDebQ5d8ybYtYNnnUywawMAAABAfKMFHAAAAAAAKyCAAwAAAABgBQRwAAAAAACsgAAOAAAAAIAVEMABAAAAALACAjgAAAAAAFZAAAcAAAAAwAoI4AAAAAAAWAEBHAAAAAAAKyCAAwAAAABgBQRwAAAAAACsgAAOAAAAAIAVEMABAAAAALACAjgAAAAAAFZAAAcAAAAAwAoI4AAAAAAAWAEBHAAAAAAAKyCAAwAAAABgBQRwAAAAAACsgAAOAAAAAIAVEMABAAAAALACAjgAAAAAAFZAAAcAAAAAwAoI4AAAAAAAWAEBHAAAAAAAKyCAAwAAAABgBQRwAAAAAACsgAAOAAAAAIAVEMABAAAAALACAjgAAAAAAFZAAAcAAAAAwAoI4AAAAAAAWIG90QUAtsqhSakEu3aw78EEuzYAAAAA20QLOAAAAAAAVkAABwAAAADACgjgAAAAAABYAQEcAAAAAAArIIADAAAAAGAFBHAAAAAAAKwg3gL4zZs31aVLF+XMmVOurq4qWbKk9u3bZ95vMpk0fvx45c6dW25ubqpTp45OnTplcY3g4GB17txZ7u7ucnd3V+fOnRUcHBxfJQIAAAAAYJh4CeDBwcGqUaOGTCaTVq5cqUOHDmnixIlydnY2H+Pj46MZM2bI29tbO3bskLOzsxo2bKjQ0FDzMZ06dVJgYKB8fX3l6+urwMBAff755/FRIgAAAAAAhrKPj4tMmzZNbm5umj17tnmbh4eH+b9NJpNmzZqlPn36qH79+pKkWbNmydPTU76+vurQoYPOnDmjbdu2adOmTSpRooQkacqUKapVq5aCgoLk6ekZH6UCAAAAAGCIeGkB37Bhg4oWLaoOHTooV65cKleunObMmSOTySRJunz5sm7duqXKlSubz0mVKpXKlCmjQ4cOSZICAgKUNm1alSxZ0nxMqVKllCZNGvMxAAAAAAAkVvESwC9duqT58+fLw8NDq1evVpcuXTRy5EjNnTtXknTr1i1JsuiSHvXz7du3JUm3b9+Wk5OT7OzszPvt7OyUMWNG8zEAAAAAACRW8dIFPTIyUh9++KGGDx8uSSpUqJAuXLigefPmqXPnzvHxELEKCgpK0OsnlhreFrUbw9Zqt7V63gS1G4PajUHtxqB2Y1C7MajdGNRujISo/XVDp+MlgLu6usrLy8ti2wcffKCrV6+a90vSnTt3lDVrVvMxd+7ckYuLiyTJxcVF9+7dk8lkMreCm0wm3b1713xMTGxhbLgt1PC2qN0YtlR7Yp5jgdqNQe3GoHZjULsxqN0Y1G4MajeGUbXHSxf0UqVK6dy5cxbbzp07Zw7b2bJlk6urq3bu3GneHx4ergMHDpjHfJcoUUIPHjxQQECA+ZiAgACFhYVZjAsHAAAAACAxipcA3q1bN/3222/65ptvdOHCBf3yyy+aM2eOOnXqJOn5WO6uXbvKx8dHa9eu1cmTJ9WtWzelSZNGTZo0kSR5eXmpatWq6tu3rwICAhQQEKC+ffuqRo0aifauCgAAAAAAUeKlC3qRIkW0dOlSjRo1SpMmTVKWLFk0ZMgQcwCXpN69e+vRo0f68ssvFRwcrKJFi2rNmjVKly6d+Zh58+ZpwIABaty4sSSpVq1amjhxYnyUCAAAAACAoeIlgEtSjRo1VKNGjVj329nZafDgwRo8eHCsxzg4OGjOnDnxVRIAAAAAADYjXrqgAwAAAACAVyOAAwAAAABgBQRwAAAAAACsgAAOAAAAAIAVEMABAAAAALACAjgAAAAAAFZAAAcAAAAAwAoI4AAAAAAAWAEBHAAAAAAAKyCAAwAAAABgBQRwAAAAAACsgAAOAAAAAIAVEMABAAAAALACAjgAAAAAAFZgb3QBAOKXw0fVEvT6wbu2Juj1AQAAgHcVLeAAAAAAAFgBARwAAAAAACsggAMAAAAAYAUEcAAAAAAArIAADgAAAACAFRDAAQAAAACwAgI4AAAAAABWQAAHAAAAAMAKCOAAAAAAAFgBARwAAAAAACsggAMAAAAAYAUEcAAAAAAArMDe6AIAIIpDvsYJev3gE6sT9PoAAADAq9ACDgAAAACAFRDAAQAAAACwAgI4AAAAAABWQAAHAAAAAMAKCOAAAAAAAFgBARwAAAAAACsggAMAAAAAYAUEcAAAAAAArIAADgAAAACAFRDAAQAAAACwAgI4AAAAAABWYG90AQDwLnBwa5+g1w+++WOCXh8AAAAJjxZwAAAAAACsgAAOAAAAAIAVEMABAAAAALACAjgAAAAAAFZAAAcAAAAAwAoI4AAAAAAAWAEBHAAAAAAAKyCAAwAAAABgBQRwAAAAAACsgAAOAAAAAIAVEMABAAAAALACAjgAAAAAAFZAAAcAAAAAwAoI4AAAAAAAWAEBHAAAAAAAKyCAAwAAAABgBQRwAAAAAACsgAAOAAAAAIAVEMABAAAAALCCBAngkydPloODg7788kvzNpPJpPHjxyt37txyc3NTnTp1dOrUKYvzgoOD1blzZ7m7u8vd3V2dO3dWcHBwQpQIAAAAAIBVxXsA/+233/Tjjz8qX758Ftt9fHw0Y8YMeXt7a8eOHXJ2dlbDhg0VGhpqPqZTp04KDAyUr6+vfH19FRgYqM8//zy+SwQAAAAAwOriNYDfv39fn332mb777js5ODiYt5tMJs2aNUt9+vRR/fr1lTdvXs2aNUsPHjyQr6+vJOnMmTPatm2bpk6dqhIlSqhEiRKaMmWKNm/erKCgoPgsEwAAAAAAq4vXAB4VsCtUqGCx/fLly7p165YqV65s3pYqVSqVKVNGhw4dkiQFBAQobdq0KlmypPmYUqVKKU2aNOZjAAAAAABIrOzj60ILFy7UhQsXNGfOnGj7bt26JUlydna22O7s7KwbN25Ikm7fvi0nJyfZ2dmZ99vZ2Sljxoy6fft2rI9rC63jtlDD26J2Y1C7Mag9/thaPW+C2o1B7cagdmNQuzGo3RjUbsnT0/OV++MlgAcFBWnUqFHatGmTkiVLFh+XjLPXPcH/Sg1vi9qNQe3GoPb4ERQUZFP1vAlqNwa1G4PajUHtxqB2Y1D7m4uXLugBAQG6d++eSpUqJScnJzk5Ocnf31/z5s2Tk5OT3nvvPUnSnTt3LM67c+eOXFxcJEkuLi66d++eTCaTeb/JZNLdu3fNxwAAAAAAkFjFSwCvU6eO9u/fr71795r/9+GHH6px48bau3evcuXKJVdXV+3cudN8Tnh4uA4cOGAe812iRAk9ePBAAQEB5mMCAgIUFhZmMS4cAAAAAIDEKF66oDs4OFjMei5JqVOnlqOjo/LmzStJ6tq1qyZPnixPT0/lypVL33zzjdKkSaMmTZpIkry8vFS1alX17dtXU6dOlST17dtXNWrUSLTdGgAAAAAAiBJvk7C9Tu/evfXo0SN9+eWXCg4OVtGiRbVmzRqlS5fOfMy8efM0YMAANW7cWJJUq1YtTZw40VolAgAAAACQYBIsgG/YsMHiZzs7Ow0ePFiDBw+O9RwHB4cYZ1EHAAAAACCxs1oLOADANjm490rQ6wf/NS1Brw8AAJBYxMskbAAAAAAA4NUI4AAAAAAAWAEBHAAAAAAAKyCAAwAAAABgBQRwAAAAAACsgAAOAAAAAIAVEMABAAAAALACAjgAAAAAAFZAAAcAAAAAwAoI4AAAAAAAWAEBHAAAAAAAKyCAAwAAAABgBfZGFwAAwNty+PCrBL1+8B9jE/T6AADgv4UADgCAARyqeyfo9YO3DEzQ6wMAgDdHF3QAAAAAAKyAFnAAAPBGHFrNfIuztsb5yOBl3d7i+gAA2D5awAEAAAAAsAICOAAAAAAAVkAABwAAAADACgjgAAAAAABYAQEcAAAAAAArIIADAAAAAGAFBHAAAAAAAKyAAA4AAAAAgBUQwAEAAAAAsAJ7owsAAACwFodeS97irENxPjJ4Wpu3uD4A4L+CFnAAAAAAAKyAAA4AAAAAgBUQwAEAAAAAsAICOAAAAAAAVkAABwAAAADACgjgAAAAAABYAcuQAQAAJAIOo/ze4qyTcT4yeFj9t7g+AOBN0AIOAAAAAIAVEMABAAAAALACuqADAAAgQWWbtfPNT9p2Nc6HXu5a6c2vDwAGoAUcAAAAAAArIIADAAAAAGAFBHAAAAAAAKyAAA4AAAAAgBUQwAEAAAAAsAICOAAAAAAAVsAyZAAAAEAsqq86/OYnHY37OVuaFnvz68dRn11n3/yka3E/Z+pHH7z59YH/OFrAAQAAAACwAgI4AAAAAABWQAAHAAAAAMAKCOAAAAAAAFgBARwAAAAAACtgFnQAAAAANmXW8RtveEZabXuDc7oWyPSG1wfiBy3gAAAAAABYAQEcAAAAAAArIIADAAAAAGAFBHAAAAAAAKyAAA4AAAAAgBUQwAEAAAAAsAKWIQMAAACAeLL7ZtibnZDufV1/g3MquqV5w4pgSwjgAAAAAADdfPpmHaTTeXjp5tO4H++WLPINK3r3EMABAAAAAIlahgwZ3uj4YsWKvdHx9+/ff6PjYxMvY8AnT56sSpUqKWvWrMqZM6eaN2+ukydPWhxjMpk0fvx45c6dW25ubqpTp45OnTplcUxwcLA6d+4sd3d3ubu7q3PnzgoODo6PEgEAAAAAMFS8BPB9+/bp008/1ebNm7V27VrZ29urQYMG+ueff8zH+Pj4aMaMGfL29taOHTvk7Oyshg0bKjQ01HxMp06dFBgYKF9fX/n6+iowMFCff/55fJQIAAAAAICh4qUL+po1ayx+nj17ttzd3XXw4EHVqlVLJpNJs2bNUp8+fVS/fn1J0qxZs+Tp6SlfX1916NBBZ86c0bZt27Rp0yaVKFFCkjRlyhTVqlVLQUFB8vT0jI9SAQAAAAAwRIIsQ/bgwQNFRkbKwcFBknT58mXdunVLlStXNh+TKlUqlSlTRocOHZIkBQQEKG3atCpZsqT5mFKlSilNmjTmYwAAAAAASKwSZBK2QYMGqUCBAuaW7Fu3bkmSnJ2dLY5zdnbWjRs3JEm3b9+Wk5OT7OzszPvt7OyUMWNG3b59O9bHCgoKiu/y35gt1PC2qN0Y1G4MajcGtRuD2o1B7cagdmMkbO1pE/DaCVx7uvcT7tpK2NrTeXgl2LWlhK39TSdVe1Nxrf11PbfjPYAPGTJEBw8e1KZNm5Q0adL4vnw0ttA13RZqeFvUbgxqNwa1G4PajZGwtW9NwGsndO0J26suYWs/+fpD/oUErX3b1YS7thK49qOHE+7aSuDar51NuGsrYWvfdvxGgl1bStja32RN77eRkLW/yZJib4O/q/HcBX3w4MFavXq11q5dKw8PD/N2V1dXSdKdO3csjr9z545cXFwkSS4uLrp3755MJpN5v8lk0t27d83HAAAAAACQWMVbAB84cKA5fH/wwQcW+7JlyyZXV1ft3LnTvC08PFwHDhwwj/kuUaKEHjx4oICAAPMxAQEBCgsLsxgXDgAAAABAYhQvXdC/+OIL/fTTT1qyZIkcHBzMY77TpEmjtGnTys7OTl27dtXkyZPl6empXLly6ZtvvlGaNGnUpEkTSZKXl5eqVq2qvn37aurUqZKkvn37qkaNGom6qwIAAAAAAFI8BfB58+ZJknmJsSgDBw7U4MGDJUm9e/fWo0eP9OWXXyo4OFhFixbVmjVrlC5dOovrDBgwQI0bN5Yk1apVSxMnToyPEgEAAAAAMFS8BPDg4ODXHmNnZ6fBgwebA3lMHBwcNGfOnPgoCQAAAAAAm5Ig64ADAAAAAABLBHAAAAAAAKyAAA4AAAAAgBUQwAEAAAAAsAICOAAAAAAAVkAABwAAAADACgjgAAAAAABYAQEcAAAAAAArIIADAAAAAGAFBHAAAAAAAKyAAA4AAAAAgBUQwAEAAAAAsAICOAAAAAAAVkAABwAAAADACgjgAAAAAABYAQEcAAAAAAArIIADAAAAAGAFBHAAAAAAAKyAAA4AAAAAgBUQwAEAAAAAsAICOAAAAAAAVkAABwAAAADACgjgAAAAAABYAQEcAAAAAAArIIADAAAAAGAFBHAAAAAAAKyAAA4AAAAAgBUQwAEAAAAAsAICOAAAAAAAVkAABwAAAADACgjgAAAAAABYAQEcAAAAAAArIIADAAAAAGAFBHAAAAAAAKyAAA4AAAAAgBUQwAEAAAAAsAICOAAAAAAAVkAABwAAAADACgjgAAAAAABYAQEcAAAAAAArIIADAAAAAGAFBHAAAAAAAKyAAA4AAAAAgBUQwAEAAAAAsAICOAAAAAAAVkAABwAAAADACgjgAAAAAABYAQEcAAAAAAArIIADAAAAAGAFBHAAAAAAAKyAAA4AAAAAgBUQwAEAAAAAsAICOAAAAAAAVkAABwAAAADACgjgAAAAAABYAQEcAAAAAAArIIADAAAAAGAFBHAAAAAAAKyAAA4AAAAAgBXYXACfN2+eChYsKFdXV1WsWFH79+83uiQAAAAAAP41mwrga9as0aBBg9S/f3/t2bNHJUqUUNOmTXXlyhWjSwMAAAAA4F+xqQA+Y8YMtWrVSp988om8vLw0adIkubq66ocffjC6NAAAAAAA/hW74OBgk9FFSNKTJ0+UKVMmzZ8/Xw0aNDBv/+KLL3Ty5En9+uuvxhUHAAAAAMC/ZDMt4Pfu3dOzZ8/k7Oxssd3Z2Vm3b982qCoAAAAAAOKHzQRwAAAAAADeZTYTwJ2cnJQ0aVLduXPHYvudO3fk4uJiUFUAAAAAAMQPmwngyZMnV+HChbVz506L7Tt37lTJkiUNqgoAAAAAgPhhMwFckrp3765ly5Zp0aJFOnPmjAYOHKibN2+qQ4cORpcGAADiwNvbWw8fPoy2/dGjR/L29jagIgAAbIdNBfBGjRpp/PjxmjRpksqXL6+DBw9q5cqVcnd3N7o0AEAitH79ej179szoMv5TvL29FRYWFm17YgngV65ckckUfYEYk8mkK1euGFBR3HHzA/8VT58+1bBhw/TXX38ZXQrwxmxmGTK8vT///FPTp0/XmTNnZGdnJy8vL/Xq1Ut58+Y1urRX+vjjj7V48WI5ODhYbA8JCVHr1q21bt06YwqLo3PnzsnPz09Xr17VkydPLPbNmDHDoKqA+Hf37l1JUsaMGSVJJ06c0M8//6zcuXOrSZMmRpb2Wu+//77Spk2rli1bqm3btsqVK5fRJb3S8uXL43xsy5YtE7CSt+fo6KigoCDz+yXKrl279Omnn+r8+fMGVRY37733ns6cORNtVZa///5buXLl0t9//21QZa+X2Gp/k5sCAwcOTMBK/r1r165p//79unPnjiIjIy329ejRw6CqXs/b21s9e/ZU6tSpLbY/evRI06ZNs+nXPXPmzNq/f7+yZctmdClIJAIDA1WwYEGjyyCAv+j27dv66aefdPHiRX311VdycnLSwYMH5ebmJg8PD6PLi9Gvv/6qtm3bqnTp0ipVqpQk6eDBgzp48KAWL16sWrVqGVxh7BwdHXX27NloXxTu3LmjPHnymL/026LNmzerXbt2KliwoI4ePaoiRYro4sWLevz4sUqXLq0VK1YYXWKsRo8ercyZM6tjx44W23/44Qddv35dQ4cONaiyuAsPD9fmzZt18eJFtW/fXg4ODrp48aIcHBzk6OhodHmvdO/ePV28eFEFChRQihQpjC4nTurWravmzZurbdu2unfvnooUKaJMmTLp+vXr+vLLL9WzZ0+jS4xVaGiofH19tXTpUv3+++8qUaKE2rRpo4YNGypNmjRGlxdNlixZLH5+8uSJnj59qiRJnndYi4yMVLJkyZQiRQqba43NkiWL7OzsFBYWptSpU8vOzs6879mzZwoPD1fHjh31zTffGFjl68V2A+Gvv/5SqVKldP36dYMqe73EdvOjTJkyFj9fuXJFDx8+VKZMmSRJN27cUOrUqZU1a1bt37/fiBLjZOXKlerRo4fs7e3l5ORk8d63s7PTsWPHDKzu1RLbTZsXtW3bVtWrV1fbtm2NLuVfy58/v/z8/JQzZ06jS4mTrVu3at68ebp06ZJWr16tLFmyaNGiRcqWLZsqVqxodHmxcnR0VMGCBdWuXTs1adJEGTJkMKQOe0Me1QYdPXpU9erVU7Zs2XT69Gn16tVLTk5O2rlzp86fP6958+YZXWKMxowZo/79+2vIkCEW28eOHasxY8bYZAA/evSo+b9PnDhh0QIeGRmp7du3m//42qpx48Zp4MCB6tevn7JkyaLZs2fLzc1Nn3/+uYoXL250ea/0008/6ccff4y2vXDhwpo8ebLNB/ALFy6oQYMGevDgge7fv68GDRrIwcFB8+fP1/379zV9+nSjS4xRaGioevbsKT8/P9nZ2en333+Xh4eH+vbtKxcXFw0ePNjoEmN14sQJ8/vaz89POXLk0M6dO7VhwwYNGzbMpgN4unTp1KFDB3Xo0EGnTp3SkiVLNGrUKA0ePFgNGzZU27Ztbep39urVq+b/3rx5syZMmKDx48erWLFikqTDhw/rq6++0pdffmlUibGaOHGiTCaTevTooaFDhyp9+vTmfcmTJ5e7u7tKlChhYIWvNmDAAEnPA9PIkSOVKlUq877IyEgdOXJEBQoUMKq8V4q6+WFnZ6fChQvHevPD1rwYqpcsWaIVK1Zo1qxZypo1q6Tngbx79+5q2rSpUSXGybhx49SjRw999dVXSpo0qdHlvBGTyWTxfokSGBho8ze0K1asqNGjR+vEiRMqXLhwtFb8evXqGVRZ7L777rsYt9+4cUMLFy40r/xky70mVq5cqX79+qlt27bavXu3IiIiJD3/rPHx8bHpAH748GEtWbJE3377rb7++mvVrVtXbdq0UYUKFaxaBy3g/1O3bl2VKVNGQ4YMUZYsWbRv3z55eHgoICBAHTt21J9//ml0iTFydXXVgQMHlCNHDovt58+fV5kyZXTr1i2DKoudo6Oj+cM+pnF2qVKlkre3t03f0cycObP8/f3l4eEhDw8P/frrr8qbN69OnDih5s2b2+z7RXr+njl06FC0Xh2XLl1SyZIlbfI986LmzZvLzc1NkydPVrZs2cy/q/7+/urevbvFDR5b0r9/f/3555+aNGmSatWqZX7/bNq0SaNHj5a/v7/RJcYqU6ZMCggIUNasWdWuXTvlz59fAwYM0NWrV1WsWDHdvHnT6BLj7Nq1a/rxxx81bdo0JU+eXI8ePVKhQoXk4+Oj/PnzG12ehRIlSui7776LFloDAgLUrVs3HT582KDKXm3fvn0qVaqU7O0T1z3+unXrSpL8/f1VokQJJUuWzLwv6gZCz549bbKFatmyZeabH+PHj090Nz8kqWDBglq6dGm0mxyBgYFq1aqVTf9dffE7QWLxLvRYedUNAjs7O5tsvXd0dNT7778f7UbNlStXlClTJtnb29t8r4myZcuqX79+aty4sUVmOn78uBo1aqSgoCCjS3ytyMhIbd26VUuXLtWmTZv0/vvvq02bNmrZsqUyZ86c4I+fuP46JqBjx47FeFfK1dU12trktsTZ2VlHjx6NFsCPHj0arTuRrTh27JhMJpMKFy6sHTt2yMnJybwvefLkcnZ2tvk7yGnTplV4eLgkyc3NTRcuXFDevHkVERGh4OBgY4t7jSxZsmj//v3Rvij4+/vr/fffN6aoN3Do0CFt27Yt2nskS5YsNh0EN27cqCVLlqhgwYIWX3S8vLx0+fJlAyt7vRw5cmjdunWqV6+edu7cqV69ekl6PlzEqO5bb+Lp06dav369lixZot27d6tYsWKaPHmyGjVqpODgYI0aNUodO3ZUQECA0aVa+Ouvv6K16EjPb1K+2FJuazJmzKiLFy/K09NT0vPlRJcvX67cuXOrd+/eNvv5vn79eklSt27dNGHCBIsQa+tatWolScqWLZtKlixpcfMgsbhz54757+qLHj9+bJNB6kXVqlXT4cOHE1UAT+w9ViTpn3/+MbqEN/bJJ5/o999/1/z5882fkdLzz801a9Yod+7cBlYXNxcuXIix51jatGkVGhpqQEVvLkmSJKpRo4YqVqyo+fPna9SoURo7dqy8vb318ccfa8yYMQn6nZgA/j8pU6aMMTgFBQXZbJCVpHbt2qlPnz66cOGC+YPy0KFDmj59uvlLsq2JmtU+MX5wRilatKgOHjyo3Llzq3r16ho6dKj+/PNPrV+/3qa6s8akffv2GjJkiJ4+fWrucrN7926NHDlSffr0Mba4OHr69Gm0bVevXrXpL8zBwcF67733om0PDQ01j++1VQMHDlSnTp00dOhQVaxY0dwdevv27TYxmcmrfPnll1q9erXs7OzUvHlzjR071uILTqpUqTRixAib/NJTtGhRDRw4UHPnzjV/Ebh+/bqGDBli/jewRT169FDXrl3l6empq1evqlWrVipXrpzmzZun0NBQDR8+3OgSX2nmzJmSEud8DeXKldPjx4+1ePFi88SsUZMl2vpz+Oijj9S7d2/5+PioSJEisrOz05EjR9SnTx999NFHRpf3SpUqVdKIESN0+vRp5c2bN1rvD1vsCv3iTZvE2GMlsZo6dar8/PzUoEEDffnll2rfvr3RJb0xNzc3nT9/PtoqVf7+/sqePbtBVb2ZI0eOaMmSJVqzZo3SpUunPn36qE2bNrp165bGjRun1q1ba+fOnQn2+HRB/5/evXvr1q1bWrhwoXLmzKl9+/bJzs5OrVq1UoUKFTR+/HijS4yRyWTSzJkzNWPGDN24cUPS8+6iPXv2VJcuXWIc12NLIiIidOTIkRhnErfVGX6l5921Hzx4oPz58+vhw4caOnSoDh48qFy5cmns2LHm8Wu2auTIkZo1a5b5NU+ePLm6dOmiESNGGFtYHHTs2FGpU6fWd999Z+769N5776lVq1by8PCIdXyV0erUqaM6deqoW7duFl22+vXrpytXrmjVqlVGl/hKt2/f1o0bN1SgQAHzDYPDhw8rffr0+uCDDwyuLnb16tXTJ598oo8//ljJkyeP8ZiIiAgdPHhQ5cqVs3J1r3bx4kW1bt1aZ8+etZiUytPTU0uXLo3W88lWuLu7a8eOHcqVK5dmzJihjRs3av369dqzZ4+6d++u48ePG13iKz148EA9evRIlPM1nD59Wk2aNFFISIjy5csn6fkcDunTp9fq1avl5eVlcIWxu3v3rrp27WrRwykyMlJVqlTRrFmzok0sZ0sSY1foKL/88ouSJUumOnXqWGzfsGGDIiIiVL9+fYMqez2TyaT58+dr3rx5unz5sg4cOCAPDw9NmTJFHh4eatiwodElxuqvv/7SZ599powZM2r69On64IMPtG/fPpu8GfwyHx8fLV26VNOmTVOTJk20YsUK/fXXX/r66681aNAgffbZZ0aXGKvvvvtOy5Yt07lz51S9enW1a9dOVatWtWgIuXbtmgoWLKh79+4lWB0E8P8JCQlRs2bNdOLECYWFhcnV1VW3b99WyZIltWrVKpucLfdlUd0+0qVLZ3AlcXP27Fm1aNFCly9flslkUtKkSRUREWGzM/y+a8LCwnTmzBlJ0gcffKC0adMaXFHc3LhxQx9//LGk5zdCChYsqAsXLsjFxUW//vqrzX5JO3TokBo3bqxGjRpp5cqVatu2rU6fPq3ff/9dGzZsUOHChY0uMVZHjhxR0aJFY9z3008/qXnz5lau6L/DZDJp586dOnv2rKTnQxY++ugjm765miVLFvn7+ytbtmxq3ry5ypYtq169eunKlSsqXry4TQ8VkRL3fA0NGjRQqlSpNHv2bHOPoJCQEHXu3FlPnjzRmjVrDK7w9c6dO2d+v3/wwQc2v3RgYleqVCmNHTtWVapUsdi+a9cuDR48WAcOHDCostebOXOmpk2bpt69e2vkyJE6ePCgPDw8tGLFCi1cuFAbN240usRXevbsmcaNG6fly5fr1q1b8vf3TxQBXHq+os7MmTPNw0ZSpEhhHs5gy4oUKaK2bduqdevW5gnvXvbkyRP5+vqae4kkBAL4S3bv3q3AwEBFRkaqUKFCNt/tKTFr3LixMmTIoOnTp8vLy0t79+7V/fv31b9/fw0dOlSVKlUyusRY+fn5xXpXeOrUqYmmK3di9ejRI/n6+lr8rjZt2tRi1mJbdOLECU2fPl3Hjh0z1927d29zS5WtypUrl3799ddoLd0rVqxQv379bHpZpp9//lkZMmRQ5cqVJT1f83bhwoXKnTu3Zs6cKTc3N4MrfPdUq1ZNZcqUUY0aNdSoUSNt375d+fLlU0BAgDp06KATJ04YXeIr5c2bV0uWLFGRIkUseqtcvHhR5cuXt+nx95kyZdKOHTuUJ08ei+0nTpxQtWrVbPp39UUPHjyQnZ1domj8SOzc3Nx06NChaGtpX758WaVKlTL3rrRFxYsX15gxY1SjRg2L39VTp06pdu3aunjxotElxsnevXvl7++vzz77zGJeJFv38OFDnTlzRpGRkfLy8ko0DTm2gAEf/xO1MHvFihVtevr8l/3zzz8aPXq0du/erTt37kSbVdyWW5GjWv7SpEmjJEmSKCIiQoULF9bIkSM1YMAAm17z8/PPP9e2bdvk7e1tniTp2rVr+vzzz3X27FmbC+AtWrTQnDlzlD59erVo0eKVx9ryGuaS9OOPP6p9+/YxzpLft29fTZkyxYCq4iZfvnz6/vvvjS7jjfXo0UONGjXS5s2bzbODLl++XP3799cPP/xgcHWvFrWMl/R8csrJkydryJAh2rZtm4YOHWqzS0xGOXz4sPnzPTIy0mLfxIkTDarq1UaMGKHWrVtr+vTpatmypfkG08aNG1WkSBGDq3u9xDxfQ4oUKXT//v1o20NCQmx+DLgkzZ07Vz4+PuYbBe+//7769OmjTp06GVzZ623evFlTp041j7338vJSnz59VL16daNLeyUHBwdduHAhWgA/f/68zQeqK1euRLvZJEnJkiWLcUI/W3Hy5En99ttvKlGihPLkySNnZ2fz/B7Nmzc33zC2dalTp9aHH35odBlv5caNGzEOfy1btqxVHp8A/j8VK1ZU7ty51bx5czVt2tQqU9DHhx49eigwMFDt27eXm5ubTXdLfJnJZDKHVycnJ12/fl2enp7KnDmzzd+13LZtmz777DOVL19e8+bN08WLF9WvXz8VK1ZM+/btM7q8aN577z3zeyOmL5aJyfDhw+Xo6BitB0KfPn20bds2g6p6vdOnTytp0qSJbmZo6flre/fuXTVo0ECbNm3S5s2b1b9/f/3444+qUaOG0eW90pUrV8xdWNevX686deqod+/eqlSpkho3bmxwda82ffp0DRs2TDly5Ij2+W7Ln/Vly5bV+fPnFRoaKgcHB/P29u3bxziru6358MMP9euvv6pbt24W23/88UeVLFnSoKripmbNmuaJzKImBA0ICFDfvn1Vq1Ytg6t7tW+//VZTpkxRjx49VLp0aUnP1wkfOXKkQkND1bdvX4MrjN2iRYvUv39/NW3a1Dx/zYEDB9SmTRt9++23Nr2sau3atTVkyBAtXrzY/FkZFBSkr776Ktq4cFvj4eGhY8eORZsMbMuWLTY738GWLVvUunVrpU2bVg8fPtSSJUvUpUsXFShQQJGRkWratKlWr15t0z1wHz9+rHnz5mnv3r26e/dutJvDO3bsMKiy17tx44Y+/fRTHThwQHZ2djKZTBZ/T601XwMB/H9+++03rVy5UosXL9bo0aNVqlQpNW/eXPXr17fpZXb27Nmjn3/+2aZnxI1Nnjx5dPz4cXl4eKho0aLy8fFR0qRJtWjRIpufRTF//vzauXOn+vfvr2rVqsnOzk6jR49Wly5djC4tRlGz+r7834nRokWL1LZtWzk4OJh7q/Tu3Vvbt283LyNkixL7zNBjxozR33//rSpVquj27dtauHChzbfsSM9bBB88eCDp+edlmzZtJEnp06c3b7dV33//vby9vdW5c2ejS3ljSZMmtQjfkqK1sNmqYcOGqXHjxjp9+rQiIiI0Y8YMnT59WkeOHNGvv/5qdHmvNGHCBHXt2lW1atUy39R79uyZateurXHjxhlc3astWLBAU6dOVZMmTczbKlasqJw5c2rUqFE2HcCnTp2qsWPHWvyutmvXToULF9bUqVNtOoCPGDFCTZs2VcmSJc1Dcm7evKmiRYtq1KhRBlf3aj169NCAAQP06NEjmUwmBQQEaMWKFZo2bZrNTsj6zTffqHfv3ho6dKhWr16tzz77TJ9++qm+/vprSc8nyfXx8bHpAN6rVy9t3rxZtWvXVu7cuW36hvDLBg8eLHt7ex06dEiVK1eWr6+vbt++rfHjx1v1M5Ix4DE4fPiwVq5cqV9++UWhoaGqXr26Fi5caHRZMfrwww+1bNmyGLvg2Lrt27crLCxM9erV06VLl9SsWTMFBQXJyclJCxYsUPny5Y0u8ZUOHz6sTp06KXny5Lp27Zrq1Kmjb7/9NtFMghfl0aNHOnTokHLkyBHtLrKt8vPzU69evbR69WotWrRIO3bs0Pr16216DdbENjP02rVro22LjIw0z89QrVo183ZbXGInSqtWrRQeHq5SpUpp0qRJCgwMVKZMmbR9+3YNHDhQhw8fNrrEWLm7u2vPnj02/b6OSWIf5iI97yI6bdq0RDdfQ5QLFy6YJ9n08vKy2RnzX+Tq6qoDBw5Eq/X8+fMqU6aMbt26ZVBlr+fi4qKDBw9Gq/3ChQsqVaqUbt++bVBlcbdz507z36GoIZmJIVgtXLhQkyZN0rVr1yQ9nwdh0KBBateuncGVxczd3V27du1Sjhw5FBkZKRcXF23fvl2FChWS9Pyzp0GDBuaJCG2Ru7u7li1bZnMrh8SFp6enVq5cqQ8//FBZs2bVzp07lStXLm3evFmTJk2yWk9KWsBjUKxYMRUrVkzNmjVT3759tW7dOqNLitXXX3+tcePGadasWTY/VudlL8646eHhoYCAAP3zzz9ycHCw+Q99b29vffvtt+rUqZNGjBihy5cv67PPPlOZMmU0e/ZslSlTxugSY9W1a1cVLVpUnTp10pMnT1SlShWdOnVKyZMn15IlSyyCla2qX7++goODVbt2bbm6umrDhg0237oWGRmpZMmSSXreEhvVepw9e3bduXPHyNJi9Mknn8S6b8mSJVqyZIkk219iZ9KkSerXr5/8/Pw0efJk83JeW7dutflxdo0bN9a2bdsSxfjXF708zCUiIkJ//vmnrl69al7BwJadPn1ayZIlM8/XsGPHDq1YsUKbN29W7ty5bW64SPfu3V+5/8WeQTNmzEjoct5azpw5tWrVKg0cONBi+6pVq2x+JvQsWbJo586d0QL4jh07bH5Z0iiVKlWy6clvY3Lv3j198skn+uSTT3Tv3j1FRkbK2dlZ0vOJB231hlnUXBJJkiRRypQpLXrapk2bViEhIUaVFifOzs6JarK4F4WHh5v/Rjk4OOjOnTvKlSuXvLy8rDpBKAH8JZcuXdKqVau0atUqXbhwQWXKlNG0adOMLsvCy+Hur7/+kqenp7JmzSp7e8t/UlueyCzKvXv3dPHiRRUoUOCVa2nakgULFmjFihXmL/Cenp7atm2bxowZowYNGtj03e4dO3bo888/l/R8UqTQ0FCdPXtWS5Ys0YQJE2wygA8YMCDG7c7OzsqbN6/Fl0pbnZgqT548+uGHH1SjRg3t3r1bw4YNk/R8PJIt/iH7559/jC4hXmTOnFk//fRTtO0TJkwwoJo3kzlzZo0fP16HDh1Svnz5on2+9+jRw6DKXi22YS5fffVVough9PJwkTZt2qhs2bI2O1zk7t27Fj9HjW3MmzevJOnUqVOKjIy06RvDkjRo0CB16NBB+/fvN4+1P3TokPz9/fXjjz8aW9xr9OzZUwMGDNCxY8dUokQJSc9r/+mnn2z2b1KU13XVttXPGen5TcqoyXxf/Dv6559/qkGDBjp37pyB1cUsa9asOn/+vLln05YtW5QlSxbz/mvXrsW6PJatGDZsmEaNGqVZs2ZFG2pk6zw9PRUUFKRs2bKpQIECWrBggTJnzqx58+aZb9BbA13Q/2fu3LlatWqVDh8+rDx58qh58+Zq0qSJ3n//faNLi+ZNvjgOGjQoASv5d0JDQ9WzZ0/5+fnJzs5Ov//+uzw8PNS3b1+5uLho8ODBRpcYq3v37sUamvz9/a02i+LbcHV11e+//67MmTOrZ8+eSp8+vcaOHavLly+rbNmyNrnETt26deN0nJ2dnc32WPH391fr1q11//59tWrVynzTYOTIkTp37pwWL15scIUxe/r0qWrWrKnvv//ePIEcrKNgwYKx7rOzs9OxY8esWM2/d+7cOdWsWdMmvxS/KLENF3nR5MmTFRgYqBkzZpiX8AoLC1PPnj2VN29effHFFwZX+GpHjx7VzJkzLbrPd+/e3dw915atW7dOM2bMsKi9Z8+eNj+R2cufMxEREbp586ZSpUqljBkz2vTnTOvWrRUSEqLVq1crefLkkqTjx4+rQYMG+uSTT8w3um3JvHnzlDlz5lgnRRw5cqRu3bpl0/P1hISEqF27dtq3b59cXV2j3Ry25ffMypUr9fTpU7Vu3VpHjx5VkyZN9PfffytFihSaNWuWGjRoYJU6COD/kz9/fjVu3FjNmjWz2S4r75r+/fvrzz//1KRJk1SrVi35+/vLw8NDmzZt0ujRo+Xv7290ia8UHh6uzZs36+LFi2rfvr0cHBx08eJFOTg42HRLfoECBTRlyhRVqlRJBQsW1NSpU1WtWjWdPHlStWvX1qVLl4wu8Z317NmzaDNDX758WWnSpFHGjBmNK+w1cuXKpU2bNtl8N9CYPHnyRN98841Wr16tq1ev6unTpxb7bbn7/Ltm48aN6tmzp80H8CxZssjf31/ZsmVT8+bNVbZsWfXq1UtXrlxR8eLFdfPmTaNLjJWXl5f8/PyUO3dui+2nTp1S/fr1bXpcKWzH7du31b17d7Vr186mh408efJEjRo1UoYMGbR48WKdOHFC9evXV4cOHcyTmiH+tWrVSn/88YeaNGkSY2t9z549Dajq7Tx8+FBnz55V1qxZrdobkS7o/3P8+HGbH3cck6glr16eCGHfvn2ys7Oz6ZbYjRs3asmSJSpYsKDFa+/l5aXLly8bWNnrXbhwQfXr11dYWJju37+vBg0ayMHBQfPnz9f9+/c1ffp0o0uMVZs2bdSxY0e5ubkpSZIk5pnEDx8+rA8++MDg6t5diXliqpYtW2rhwoUaPXq00aW8sbFjx2rNmjXq16+fhgwZolGjRumvv/7SmjVr9NVXXxld3jvp5SEjJpNJt27d0rZt29S6dWuDqoq7xDZc5EVhYWG6efNmtAB+69YtPXr0yKCq4u7x48dauXKleS3t3Llzq0mTJja/hnn37t1Vrlw58xJkUUJCQjR48GCbHnsfExcXFw0dOlQdOnSw6QCePHlyLVu2TPXq1VPbtm118OBBdezYUUOHDjW6tHfarl27tHbt2kS5AtPLUqdOrcKFC1v9cQng/2NnZ6fbt29r7ty55g9+Ly8vderUyabHYgwZMiTG8bGhoaGaMGGCdu/ebUBVcRMcHBzjmtShoaHmCSps1eDBg1W5cmVNnjzZYvKvWrVqvXZCHKMNHDhQuXPn1tWrV9WgQQNzty17e3v17t3b4Opi1qJFC82ZM0fp06dPtEE2MU9M9fDhQ61atUo7d+5U4cKFo63lbMtjHH/++WdNmTJFVatW1ddff606deooe/bs8vLy0s6dO9WhQwejS4xVbHMfRLHV1/3kyZMWPydJkkQZM2bUuHHjzMvA2bIRI0aodevWmj59ulq2bGnuFbdx40YVKVLE4Ope7eOPP1b37t01atQo85fjw4cPa/jw4XEeymOU06dPq0mTJgoJCTG/5gsXLtT48eO1evVqm13XWZKWLVum1atX688//9SYMWPMjQrh4eFavnx5ogvg0vMbZ7Y4QWhM85PMnj1bjRs3VsOGDdW9e3fzMbbcGzExy5Ili/m7Y2Lwur+lL7LW31UC+P8cPHhQTZo0kbOzs4oXLy7p+cybs2bN0urVq82Tatiac+fOKX/+/NG258mTx+a7+X344Yf69ddf1a1bN4vtP/74o3kCFlt16NAhbdu2LdpsuFmyZLHp7olR6tevH21bq1atDKgkbt577z3zFxpHR8dE2VslMU9MdebMGfM4wZeHKNj6v8WdO3fMX9zTpEmj+/fvS3q+CsOIESMMrOz1Xg6yEREROnv2rJ49e/bK8eFGe3HW7cSobNmyOn/+fLThIu3bt49288nWTJ48WUOHDlW3bt3Mwy3s7e3Vtm1bm+/BMmjQIBUoUECzZ89W+vTpJT1vQe7cubMGDx6sNWvWGFzhqy1fvly9e/fWuXPnNH/+/ESzMs3LS05G9ViZN2+eSpcubVBVscuRI0eMf3dMJpPmz5+vH374QSaTyeZX6EjMxo0bp+HDh+vbb79NFEscvvy3NDbW/D7DGPD/qVatmvLmzaspU6aYW18jIyPVt29fnTp1Slu2bDG4wpjlyJFDy5cvjxZYDxw4oJYtW9r0eN5Dhw6pcePGatSokVauXKm2bdvq9OnT+v3337VhwwZDuoTElYeHhzZu3Kg8efIoS5Ys2rdvnzw8POTv768OHTrY9Di7mNZ3fpEtr+n8LkosE1MlVsWLF9fMmTNVvHhx1apVS1WrVlX//v21atUqDRkyREFBQUaX+EbCw8PVs2dPlS5dWh07djS6HLM36aWSNm1a5cmTR506dbJYfgfxJywsTBcvXpT0fKnDqAnZbFmmTJm0Y8cO5cmTx2L7iRMnVK1aNV2/ft2gyl7P0dHR/He/bdu2CgkJ0U8//aQUKVIod+7cNh0EX24ltrOzU8aMGVWhQgWNGTNGbm5uBlUWs6ihl3GRGNepTgyyZMmix48f69mzZ0qRIkW0SdiuXLliUGVv5sGDB5JkyM0yWsD/5/jx45o5c6ZF1+ckSZKoe/fuqlChgoGVvVpUK87y5cvNd+r/+ecfjRo1ymKdbVtUsmRJbdmyRdOmTVP27Nm1Z88eFSpUSFu2bLH5ifAqV66sGTNmWCzfERISovHjx5vXd7ZVsa3vHHXnzxa/KLzuC30UOzs7LV++PIGriV+JKQCGh4frwoULsrOzU/bs2ZUyZUqjS3qtunXravfu3SpevLi6dOmiTz/9VAsXLtSNGzfUq1cvo8t7YylTplS/fv3UpEkTmwrgL/ZSiWlo0YuePHmihQsX6rfffrPZISOJXZo0aWLsHWfLUqRIYe6h8qKQkBCbHwMe9d53dnbWunXr1Lt3b1WuXFnffPONwZW9XmJbcpJQbTxbHf4UVzNnztTMmTPNN/UyZcqkbt26qVu3blZrBSeA/0/69Ol1+fLlaMvsXL582abv0I8ePVq1a9dWwYIFzaH1xIkTcnJy0g8//GBwdbF7+vSpOnfurGHDhun77783upw3NnbsWH388ccqVqyYwsPD1bFjR124cEEuLi42v17py39sIyIiFBgYqK+//tpmZw193Rf6xCAxT0z19OlTjRo1SnPnztWTJ09kMpmUIkUKde7cWV9//bWSJUtmdImxenHN5vr16ytz5sw6ePCgcuXKpZo1axpY2du7d++e+c69rXhxiEVcls85ffq0KleunJAlIZGpWbOmevfuLR8fH/NQwICAAPXt2zfWJZtshcn0/51JkyVLppkzZ2r69On67LPPDKzqv+PGjRu6evWqnjx5YrHdliciTsxsecji6wwbNkw//vijevXqZf6c+e233zRx4kTdunVLo0aNskoddEH/n0GDBsnPz08jR440j/c+dOiQRowYoYYNG2rcuHEGVxi7hw8fytfXV4GBgZKer+nYpEkTmx+rli1bNu3evVseHh5Gl/JWHj16ZH7dIyMjVahQITVt2lSpUqUyurS3cujQIfXr18/ml39LrF6eAClqYqoKFSqoTZs20bpw2ZIhQ4Zo9erVGj58uHlM4P79+zVq1Cg1bdpUY8aMMbjCV9u6davmzZunS5cuafXq1cqSJYsWLVqkbNmymVcBsEUv9rCR/v+mzapVq1ShQgXNnTvXoMr+vWfPnunkyZMqUKCA0aXARgQHB6tr167atGmTeX6VZ8+eqXbt2poxY4bFeHxbs2zZMjVu3DhaS/2uXbt08OBBDRo0yKDKYubt7R3nYwcOHJiAlfw7N27cUKdOnbR//37Z2dmZx35HscUefe+KxLpigYeHh3x8fKLNheTn56c+ffqYh+4kNAL4/zx58kRff/21FixYoIiICJlMJiVPnlwdO3bUyJEjbXq2v61bt2ru3Lm6dOmS1qxZk2i+XPbo0UNeXl6Jar3Ad9np06dVpUoVXbt2zehSYGM++OADfffdd9GGV2zevFm9evXSmTNnDKrs9VauXKl+/fqpbdu2WrBggQ4ePCgPDw8tWLBA69ats+mJnV6eaO3FmzZ9+/a1+cn7gLdx4cIF82eKl5dXopjkKbEpU6aMxc9XrlzRw4cPlSlTJknPg23q1KmVNWtW7d+/34gS46R9+/b6+++/9c0336hy5cry9fXV7du3NX78eI0bN06VKlUyusR3UkwrFpw4cULp06e3+RULPDw8tG3bNuXKlcti+7lz51SlShWrLYNsu00uVpY8eXJ5e3tr+PDhFhOX2Hor8otfLvfs2aOIiAhJz+8a+/j42HQAz5IliyZNmqT9+/frww8/jPZa9+jRw6DKYva6ycteZMsTmR09ejTatps3b8rHx8emZ1aGcUJCQpQ9e/Zo27Nnzx7jmE1b4uPjIx8fHzVu3FiLFy82by9WrJhN92ySZO7VBPwXxLSE5/r162VnZ6eUKVMqe/bsatSokTkk2ppz587Jz88vxq7QtrYM2YuhesmSJVqxYoVmzZqlrFmzSnoeyLt3766mTZsaVWKc+Pv7a+XKlfrggw/Mk8eVKlVKKVKk0NixYwngCSQxr1jQokULzZ07N1ovkPnz56t58+ZWq+M/3QIe14mdJNtdW7hs2bLq16+fGjdubDEb9/Hjx9WoUSObnuDpVWHPzs5Ox44ds2I1rxfX9SRtfemLqGW8XhyzJj2fLfq7777TBx98YFBlsFVVq1ZV4cKFo00o1K9fPx0/flxbt241qLLXy5Qpkw4dOiR3d3eLz8iLFy+qdOnSiWLZQOn5bK12dnaJYjZr4G00b95cBw4cUJIkScwzoZ86dUomk0mFCxfW6dOnFRYWpl9//dXmbhZv3rxZ7dq1U8GCBXX06FEVKVJEFy9e1OPHj1W6dGmb/Q4pPf8utnTp0mjDQQIDA9WqVSv9+eefBlX2elmzZtW+ffuULVs2FShQQHPmzFHp0qV16dIllS5dWjdu3DC6xHdSYl6xoF+/fvL19ZWrq6uKFSsmSTpy5Ihu3ryppk2bWiwvnJCTzf2nW8DfhYmdLly4YJ5E4EVp06ZVaGioARXFXWJr3UlsM4XG5uUbG1HdWhPDjNYwxsiRI9WsWTPt2rXL/Afr8OHDunnzplatWmVwda/m5uam8+fPy93d3WK7v79/jK36tmbu3Lny8fExf6F5//331adPH3Xq1MngyoD4VapUKaVNm1bTp08394h7+PChevfurfz582vVqlXq0qWLhg4d+kY90qxh3LhxGjhwoPr166csWbJo9uzZcnNz0+effx7jdzRbcufOHYWHh0fb/vjxY5tuTJAkT09PBQUFmQP4ggULlDlzZs2bN89me0q8CxLzigVnz54138CLWi7NxcVFLi4uFsPpEno29P90AI/LTK22LjF/uYypu5mkRNPdLCIiQkeOHInW3czOzu6NeldYm7u7u27fvq2DBw/q7t27ioyMtNjPF3u8rGzZsjp8+LDmz59v/gPVoEEDffrppzb7+xmlffv2GjhwoKZNmyZJunr1qvbv36/hw4fb3MRIL/v22281ZcoU9ejRw2Lyu5EjRyo0NFR9+/Y1uEIg/nz//fdau3atxXC01KlTq3///qpfv7569+6t3r17q0GDBsYVGYtz586pUaNGkiR7e3s9fPhQKVOm1IABA9S8eXObG1L3oo8++sg8+3yRIkVkZ2enI0eOqE+fPvroo4+MLu+VunTpolu3bkl6vtJIkyZN5OvrqxQpUmjWrFkGV/fuSswrFqxfv97oEiT9xwP4uyAxf7m8e/fuK7ubrVu3TuPHj7fJ7mZnz55VixYtdPnyZZlMJiVNmlQRERFKliyZUqRIYdMB/KefflKvXr1kMpnk4OBgcZfPzs6OAI5oGjZsqPLly6tatWoaNGiQTc/Y/rLevXsrJCREDRs2VHh4uD7++GOlSJFCPXr0sPklghYsWKCpU6eqSZMm5m0VK1ZUzpw5NWrUKAI43ilhYWG6efNmtAmcbt26pbCwMEnPl4x99uyZEeW9Utq0ac2tyG5ubrpw4YLy5s2riIgIBQcHG1vca0yfPl1du3ZV9erVzd1vIyMjVaVKFfN3S1vVrFkz838XLlxYgYGBOnv2rLJmzSonJycDK3u3TZgwQV27dlWtWrWirVhg63Or2Ir/9Bjwd8Xo0aM1c+ZM84d/1JfLoUOHGlzZq02ZMkV//vlnrN3Nunbtqi5duuju3bs2192scePGypAhg6ZPny4vLy/t3btX9+/fV//+/TV06FCbnvgjf/78atmypQYOHJioghSMM2bMGPn7++v3339XsmTJVLx4cZUrV07lypVT0aJFE8X76OHDhzpz5owiIyPl5eWltGnTGl3Sa7m6uurAgQPRZoE+f/68ypQpY275Ad4Fn3/+uQ4cOKBRo0bpww8/lCT98ccfGjZsmMqUKaPvv/9evr6+mjFjhnbu3GlwtZZatWql6tWrq3379ho2bJjWrl2rFi1aaP369XJ2dtbPP/9sdImvde7cOZ09e1bS85UvXp4l2tbdvn1bGTNmVJIkSYwu5T+DFQveHgH8HZEYv1x6eXlp7dq10e52nz59WvXr19eZM2d07NgxNWjQwGrr8sVV9uzZtWHDBuXNm1fu7u7avn27PD09tW/fPg0YMMCml+1I7OuvwziPHj1SQECA9u7dK39/fx0+fFgpU6Y0j6NC/CpTpozq168fbR3eCRMmaN26dfL39zeoMiD+PXz4UF999ZWWLl1qXtHF3t5ebdq00ejRo5UmTRrz3DG21ivu0qVLevDggfLnz6+HDx9q6NChOnjwoHLlyqWxY8eaZxe3dYltssenT59q9OjR+uGHH/To0SMdOXJEHh4eGj58uLJmzUqPvgS0Zs0a7d69W3fu3Ik2lNGWJx20FbbfbIE4SZ06tfmOcWKRmLubmUwmc6u9k5OTrl+/Lk9PT2XOnNnmbha8rFmzZtq8ebM+//xzo0tBIhMaGqp79+7p7t27un37tuzt7VWoUCGjy3pnDRo0SB06dND+/ftVsmRJSdKhQ4e0b98+LVy40ODqgPiVOnVqTZkyRWPGjLFYDvbFMGhrwTvKize0U6dOrcmTJxtXzFtIrJM9ent7a9OmTZo9e7bFkKIiRYrIx8fH5utPrL7++mvNmjVL5cuXl5ubW4JPWPYuIoDDMHXq1FHPnj1j7G5Wt25dSc+XBsiZM6eRZcYoT548On78uDw8PFS0aFH5+PgoadKkWrRokc1Pfjd27Fi1bt1au3fvVt68eZUsWTKL/S+3tgH9+/fXvn37dOXKFRUtWlRly5Y1T75i6zOeJmb16tXT9u3bNXPmTG3evFnS855DO3bs4MYH3llp0qRR/vz5jS7jrYWHh0drEXxxYjlbk5gne/T19dV3332ncuXKWXQ9z5s3r86dO2dgZe+2FStWaP78+apfv77RpSRadEGHYRJzd7Pt27crLCxM9erV06VLl9SsWTMFBQXJyclJCxYsUPny5Y0uMVazZ8/WoEGD5OTkJGdn52h3Lm25+zyM4ejoqIwZM+qzzz5TtWrVVLhwYe54W8Hp06eVNGlSeXp6SpJ27NihFStWKHfu3Ordu7fFeqUAjPPXX39p4MCB2rdvn7kH34tseTmv/Pnza8SIERaTPUrSypUrNWrUKJteB9zNzU2HDh1StmzZlCVLFu3bt08eHh46deqUqlatqmvXrhld4jspZ86c2rp1K2O+/wUCOAwXFhYWa3ezxOSff/6JNqu4LcqVK5f69u0b6zJwwMsuXryovXv3at++fdq/f79CQ0NVqlQplS9fXuXKlVPhwoWNLvGdVLVqVXXt2lWNGzfW1atXVaJECZUtW1YnTpxQ8+bNNXz4cKNLBCCpVq1aCg8P12effSYXF5do3wOqVKliUGWvl5gne/zoo4/0+eefq2XLlhYBfNy4cdq3b59+/fVXo0t8J40ePVr29vYaPHiw0aUkWnRBh+ESe3ezKI6OjkaXECdRS0UAcZU9e3Zlz55d7dq1k/R8GT4fHx+NHDlSz549s+nWncTs7Nmz5q7mfn5+KlKkiFatWqU9e/aoe/fuBHDARgQGBmrHjh3R5rRJDHLmzKlVq1ZFG362atUqm58JfeDAgfr888917do1PXv2TL/88ovOnj0rX19frVy50ujy3ikDBgww/7fJZNLKlSu1a9cu5cuXL9pKKBMnTrR2eYkOARz4j2ndurVWrlzJWG/EWWRkpP744w9zK/ihQ4cUHh6uwoULq1y5ckaX986KjIw0z9GwZ88eVa9eXdLzGyJ37twxsjQAL8ifP7/u3r2bKAN4bJM9+vv768cffzS2uNeoVauWFixYoG+//VZJkiSRt7e3ChUqpBUrVuijjz4yurx3ysmTJy1+LlCggCSZl66LYuu9QG0FXdCB/5j+/ftr1apVypMnD3cuESdZs2bV48ePVahQIfP636VKlUq0w0USi2rVqqlMmTKqUaOGGjVqpO3btytfvnwKCAhQhw4ddOLECaNLBCDp1KlT5tbYvHnzRvu7auvLkB09elQzZ860WNO5e/fuTPYIJBBawIH/mDNnzpgntePOJeLixx9/JHAbYMSIEWrdurWmT5+uli1bKl++fJKkjRs3qkiRIgZXByBKZGSk7ty5ozZt2lj8HTWZTLKzs7PZYTpPnz5V586dNWzYMM2ZM8foct7a7t27LW4eVKxY0eCKgFejBRwAABv17NkzhYaGysHBwbzt8uXLSp06tZydnY0rDIBZhQoVlCFDBvXo0SPGSdhseaLKbNmyaffu3RZrmScWly5dUrt27XTixAllypRJknTjxg3lzZtXixcvTpTPCf8NBHAAAADgLWXKlEl79+61+UnLYtKjRw95eXmpZ8+eRpfyxj7++GM9e/ZMs2fPNnfzv3Llirp27So7OzutW7fO4AqBmNEFHQAAAHhLRYoU0eXLlxNlAM+SJYsmTZqk/fv368MPP1Tq1Kkt9vfo0cOgyl7vt99+09atWy3G2GfNmlXjxo0zT1oJ2CICOAAAAPCWPv30Uw0ePFg9evSIcRI2W+6CvmzZMjk4OOjEiRPRJna0s7Oz6QCeJUsWhYeHR9v++PFjZc6c2YCKgLihCzoAAADwlhwdHWPdZ8uTsL3swYMHkqS0adMaXEncbNq0SRMnTpS3t7eKFCkiOzs7HTlyRIMHD1b//v1Vq1Yto0sEYkQABwAAAN7SX3/99cr97u7uVqrk7cycOVMzZ87U9evXJT0f096tWzd169bNpldHyZIlix4/fqxnz54pSZIkkp7PSJ80aVKlTJnS4tgrV64YUSIQI7qgAwAAAG/J3d1dEREROnLkiK5evaonT56Y99nZ2dl0AB82bJh+/PFH9erVS8WLF5f0fGz1xIkTdevWLY0aNcrgCmM3ceJEo0sA3got4AAAAMBbOnv2rFq0aKHLly/LZDIpadKkioiIULJkyZQiRQqbbn318PCQj4+P6tevb7Hdz89Pffr00cWLFw2q7PVOnz6tpEmTytPTU5K0c+dOLV++XF5eXurTp4+SJk1qcIVAzJIYXQAAAACQWA0ePFiFCxfWX3/9pdSpUysgIEA7d+5UgQIFtGjRIqPLe618+fLFuC0yMtKAauKuR48eCgwMlCRdvXpVrVu31j///KP58+drzJgxBlcHxI4ADgAAALyl33//XV988YXSpEmjJEmSKCIiQoULF9bIkSP11VdfGV3eK7Vo0UJz586Ntn3+/Plq3ry5ARXF3dmzZ1WoUCFJz1vsixQpolWrVun777+Xr6+vwdUBsWMMOAAAAPCWTCaTef1sJycnXb9+XZ6ensqcObNNd+GWpCdPnsjX11c7duxQsWLFJElHjhzRzZs31bRpUw0YMMB8rK2NuY6MjFSyZMkkSXv27DGv/Z09e3bduXPHyNKAVyKAAwAAAG8pT548On78uDw8PFS0aFH5+PgoadKkWrRokbJnz250ea909uxZFSxYUNL/zxTu4uIiFxcXnTlzxnycLc6GnidPHv3www+qUaOGdu/erWHDhkmSbty4IScnJ4OrA2LHJGwAAADAW9q+fbvCwsJUr149Xbp0Sc2aNVNQUJCcnJy0YMEClS9f3ugS30n+/v5q3bq1QkJC1LJlS82YMUOSNHLkSJ07d06LFy82uEIgZgRwAAAAIB79888/cnBwsMmW43fJs2fPFBoaKgcHB/O2y5cvK3Xq1HJ2djauMOAVCOAAAAAAAFgBs6ADAAAAAGAFBHAAAAAAAKyAAA4AAOJFgQIF1LVrV6PLAADAZhHAAQAAAACwAgI4AAAAAABWQAAHAABxEhYWZnQJAAAkagRwAAASoRMnTsjBwUF+fn7mbUFBQXJwcFCRIkUsju3cubPy589v/tnPz08fffSR3NzclD17dn366ae6cuWKxTldu3aVq6urLl++rBYtWihr1qxq1qyZJMlkMmnSpEnKmzevMmXKpLp16+rUqVMJ+GwBAHg3EMABAEiE8ubNKwcHB+3fv9+8bf/+/UqSJIkuXLigmzdvmrcfOHBAZcqUkST99NNP+uSTTyRJw4YNU8eOHbV582bVrFlT9+7ds3iMyMhINWrUSOnTp9eoUaPUvHlzSdLYsWM1duxY5c+fX6NGjVKOHDnUuHFjPXz4MKGfNgAAiZq90QUAAIA3Z2dnp5IlS0YL4NWqVdO+ffu0f/9+NWrUSFevXtWVK1f0xRdf6OnTp/r666/l5eWljRs3KlWqVJKkjz76SB9//LGmTJmiMWPGmK/39OlT1ahRQ+PGjTNvu3v3rqZNm6YaNWpoxYoVsrOzk/Q8lE+aNMlKzx4AgMSJFnAAABKpMmXK6MSJE7p//76k5wG8fPnyKlasmDmYHzhwQJJUunRp/fHHH7p9+7Y6duxoDt+SVL58eRUuXFhbtmyJ9hidOnWy+HnXrl168uSJPv30U3P4lqQuXbrE+/MDAOBdQwAHACCRKl26tCIjI3Xw4EFzS3fZsmVVpkwZiwDu7OysDz74wDzO29PTM9q1PvjgA/31118W25IkSSJ3d3eLbVHXyJkzp8V2JycnOTg4xNdTAwDgnUQXdAAAEqkPP/xQqVKl0v79+3X//n2lS5dOBQsWVGhoqCZMmKB//vlHBw4cUKlSpd7q+smSJZO9PV8VAACIL7SAAwCQSCVLlszc3fzAgQMqUaKEkiZNquLFi8ve3l4bNmzQ6dOnzROwZc2aVdLz2dJfFhQUFK21OyZR1zh//rzF9nv37ik4OPhfPiMAAN5tBHAAABKx0qVL6+jRo9q5c6c5aKdKlUoffvihfHx8ZDKZzNs//PBDubi46Mcff1R4eLj5Gvv379cff/yhGjVqvPbxPvroIyVLlkzz58+XyWQyb//+++/j+ZkBAPDuIYADAJCIlSlTRk+fPtWlS5fMQTtqe1BQkNKnT68CBQpIet5iPmrUKJ06dUq1atXSrFmzNGbMGDVv3lzvv/+++vTp89rHy5gxo3r27KnNmzerefPmmjt3rnr37q2lS5fKyckpoZ4mAADvBAI4AACJWFR385QpU6po0aLm7aVLl5YklSxZUkmS/P+f+xYtWmjhwoUymUwaMWKE5s2bp2rVqmnTpk1xDtBDhw7V4MGDFRgYqGHDhun8+fNavXq1UqdOHb9PDgCAd4xdcHCw6fWHAQAAAACAf4MWcAAAAAAArIAADgAAAACAFRDAAQAAAACwAgI4AAAAAABWQAAHAAAAAMAKCOAAAAAAAFgBARwAAAAAACsggAMAAAAAYAUEcAAAAAAArIAADgAAAACAFfwf5vDHTmAy6L8AAAAASUVORK5CYII=",
-                        "text/plain": [
-                            "<Figure size 1080x432 with 1 Axes>"
-                        ]
-                    },
-                    "metadata": {},
-                    "output_type": "display_data"
-                }
-            ],
-            "source": [
-                "# CountVectorizer zeigt die am h\u00e4ufigsten verwendeten W\u00f6rter\n",
-                "\n",
-                "cv = CountVectorizer(stop_words = 'english')\n",
-                "words = cv.fit_transform(alexa.verified_reviews)\n",
-                "sum_words = words.sum(axis=0)\n",
-                "\n",
-                "words_freq = [(word, sum_words[0, idx]) for word, idx in cv.vocabulary_.items()]\n",
-                "words_freq = sorted(words_freq, key = lambda x: x[1], reverse = True)\n",
-                "frequency = pd.DataFrame(words_freq, columns=['word', 'freq'])\n",
-                "\n",
-                "color = plt.cm.ocean(np.linspace(0, 1, 20))\n",
-                "frequency.head(20).plot(x='word', y='freq', kind='bar', figsize=(15, 6), color=color)\n",
-                "plt.title(\"Die meist verwendeten W\u00f6rter - Top 20\")\n",
-                "plt.show()"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 84,
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "image/png": 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",
-                        "text/plain": [
-                            "<Figure size 720x720 with 1 Axes>"
-                        ]
-                    },
-                    "metadata": {},
-                    "output_type": "display_data"
-                }
-            ],
-            "source": [
-                "#Visualisiert die meist verwendeten W\u00f6rter\n",
-                "\n",
-                "wordcloud = WordCloud(background_color = 'lightcyan', width = 2000, height = 2000).generate_from_frequencies(dict(words_freq))\n",
-                "\n",
-                "plt.style.use('fivethirtyeight')\n",
-                "plt.figure(figsize=(10, 10))\n",
-                "plt.axis('off')\n",
-                "plt.imshow(wordcloud)\n",
-                "plt.title(\"Verwendete W\u00f6rter\", fontsize = 20)\n",
-                "plt.show()"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 85,
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "text/plain": [
-                            "<matplotlib.image.AxesImage at 0x18d001c2490>"
-                        ]
-                    },
-                    "execution_count": 85,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                },
-                {
-                    "data": {
-                        "image/png": 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",
-                        "text/plain": [
-                            "<Figure size 720x576 with 1 Axes>"
-                        ]
-                    },
-                    "metadata": {},
-                    "output_type": "display_data"
-                }
-            ],
-            "source": [
-                "#visualisiert positive Bewertungen\n",
-                "good=alexa[alexa.feedback==1].verified_reviews.unique().tolist()\n",
-                "good=\" \".join(good)\n",
-                "cv=WordCloud().generate(good)\n",
-                "cv\n",
-                "plt.figure(figsize=(10,8))\n",
-                "plt.imshow(cv)"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 86,
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "text/html": [
-                            "<div>\n",
-                            "<style scoped>\n",
-                            "    .dataframe tbody tr th:only-of-type {\n",
-                            "        vertical-align: middle;\n",
-                            "    }\n",
-                            "\n",
-                            "    .dataframe tbody tr th {\n",
-                            "        vertical-align: top;\n",
-                            "    }\n",
-                            "\n",
-                            "    .dataframe thead th {\n",
-                            "        text-align: right;\n",
-                            "    }\n",
-                            "</style>\n",
-                            "<table border=\"1\" class=\"dataframe\">\n",
-                            "  <thead>\n",
-                            "    <tr style=\"text-align: right;\">\n",
-                            "      <th></th>\n",
-                            "      <th>rating</th>\n",
-                            "      <th>date</th>\n",
-                            "      <th>variation</th>\n",
-                            "      <th>verified_reviews</th>\n",
-                            "      <th>feedback</th>\n",
-                            "      <th>length</th>\n",
-                            "    </tr>\n",
-                            "  </thead>\n",
-                            "  <tbody>\n",
-                            "    <tr>\n",
-                            "      <th>0</th>\n",
-                            "      <td>5</td>\n",
-                            "      <td>31-Jul-18</td>\n",
-                            "      <td>Charcoal Fabric</td>\n",
-                            "      <td>Love my Echo!</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>13</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>1</th>\n",
-                            "      <td>5</td>\n",
-                            "      <td>31-Jul-18</td>\n",
-                            "      <td>Charcoal Fabric</td>\n",
-                            "      <td>Loved it!</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>9</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>2</th>\n",
-                            "      <td>4</td>\n",
-                            "      <td>31-Jul-18</td>\n",
-                            "      <td>Walnut Finish</td>\n",
-                            "      <td>\"Sometimes while playing a game, you can answe...</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>197</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>3</th>\n",
-                            "      <td>5</td>\n",
-                            "      <td>31-Jul-18</td>\n",
-                            "      <td>Charcoal Fabric</td>\n",
-                            "      <td>\"I have had a lot of fun with this thing. My 4...</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>174</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>4</th>\n",
-                            "      <td>5</td>\n",
-                            "      <td>31-Jul-18</td>\n",
-                            "      <td>Charcoal Fabric</td>\n",
-                            "      <td>Music</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>5</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>...</th>\n",
-                            "      <td>...</td>\n",
-                            "      <td>...</td>\n",
-                            "      <td>...</td>\n",
-                            "      <td>...</td>\n",
-                            "      <td>...</td>\n",
-                            "      <td>...</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>3145</th>\n",
-                            "      <td>5</td>\n",
-                            "      <td>30-Jul-18</td>\n",
-                            "      <td>Black  Dot</td>\n",
-                            "      <td>\"Perfect for kids, adults and everyone in betw...</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>52</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>3146</th>\n",
-                            "      <td>5</td>\n",
-                            "      <td>30-Jul-18</td>\n",
-                            "      <td>Black  Dot</td>\n",
-                            "      <td>\"Listening to music, searching locations, chec...</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>137</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>3147</th>\n",
-                            "      <td>5</td>\n",
-                            "      <td>30-Jul-18</td>\n",
-                            "      <td>Black  Dot</td>\n",
-                            "      <td>\"I do love these things, i have them running m...</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>443</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>3148</th>\n",
-                            "      <td>5</td>\n",
-                            "      <td>30-Jul-18</td>\n",
-                            "      <td>White  Dot</td>\n",
-                            "      <td>\"Only complaint I have is that the sound quali...</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>382</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>3149</th>\n",
-                            "      <td>4</td>\n",
-                            "      <td>29-Jul-18</td>\n",
-                            "      <td>Black  Dot</td>\n",
-                            "      <td>Good</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>4</td>\n",
-                            "    </tr>\n",
-                            "  </tbody>\n",
-                            "</table>\n",
-                            "<p>3150 rows \u00d7 6 columns</p>\n",
-                            "</div>"
-                        ],
-                        "text/plain": [
-                            "      rating       date         variation  \\\n",
-                            "0          5  31-Jul-18  Charcoal Fabric    \n",
-                            "1          5  31-Jul-18  Charcoal Fabric    \n",
-                            "2          4  31-Jul-18    Walnut Finish    \n",
-                            "3          5  31-Jul-18  Charcoal Fabric    \n",
-                            "4          5  31-Jul-18  Charcoal Fabric    \n",
-                            "...      ...        ...               ...   \n",
-                            "3145       5  30-Jul-18        Black  Dot   \n",
-                            "3146       5  30-Jul-18        Black  Dot   \n",
-                            "3147       5  30-Jul-18        Black  Dot   \n",
-                            "3148       5  30-Jul-18        White  Dot   \n",
-                            "3149       4  29-Jul-18        Black  Dot   \n",
-                            "\n",
-                            "                                       verified_reviews  feedback  length  \n",
-                            "0                                         Love my Echo!         1      13  \n",
-                            "1                                             Loved it!         1       9  \n",
-                            "2     \"Sometimes while playing a game, you can answe...         1     197  \n",
-                            "3     \"I have had a lot of fun with this thing. My 4...         1     174  \n",
-                            "4                                                 Music         1       5  \n",
-                            "...                                                 ...       ...     ...  \n",
-                            "3145  \"Perfect for kids, adults and everyone in betw...         1      52  \n",
-                            "3146  \"Listening to music, searching locations, chec...         1     137  \n",
-                            "3147  \"I do love these things, i have them running m...         1     443  \n",
-                            "3148  \"Only complaint I have is that the sound quali...         1     382  \n",
-                            "3149                                               Good         1       4  \n",
-                            "\n",
-                            "[3150 rows x 6 columns]"
-                        ]
-                    },
-                    "execution_count": 86,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                }
-            ],
-            "source": [
-                "alexa"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 87,
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "text/plain": [
-                            "<matplotlib.image.AxesImage at 0x18d078dff40>"
-                        ]
-                    },
-                    "execution_count": 87,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                },
-                {
-                    "data": {
-                        "image/png": 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",
-                        "text/plain": [
-                            "<Figure size 720x576 with 1 Axes>"
-                        ]
-                    },
-                    "metadata": {},
-                    "output_type": "display_data"
-                }
-            ],
-            "source": [
-                "#visualisiert positive Bewertungen\n",
-                "good=alexa[alexa.feedback==1].verified_reviews.unique().tolist()\n",
-                "good=\" \".join(good)\n",
-                "cv=WordCloud().generate(good)\n",
-                "cv\n",
-                "plt.figure(figsize=(10,8))\n",
-                "plt.imshow(cv)"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 88,
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "text/plain": [
-                            "<matplotlib.image.AxesImage at 0x18d0015bca0>"
-                        ]
-                    },
-                    "execution_count": 88,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                },
-                {
-                    "data": {
-                        "image/png": 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Z5nrvNXfLhEcjmGIzu83S4D26+Qo1f4Lx8CST4WlCWaNfrFOYhCJP6OarXGh9msnKGS61v02qe+Q64c5NuBSKyKuzEL/DSnyZbrZCM5hhLJxjKjpHICsMio091yj9gMbTLzC4/A6d73+TMhnsm/tR9nuj371KAy+skrSX8SsNotasOyYbEG/cfuD7/GOd7X5UcB5IQ2/hfYTyEEKQD9pI6ZF21sh7G1irKfOEdHPJ7V6zmKy7ivQjTJGx9aXncRchJJ3rb1IknV3nsdbQX72G8kKkH5D3N9H59q7DWE1Pb+IZDyk8uqySmXi0481NSrtYRpUeehgaSc2AwuZkZuC4TQhHph/2Z6NYQAkfY0ty++j4TT/JEEriTzaIzkxSOT2FqoWoiiNsn/ovfwGd5JSdmKI9oP/mLUySY/J9DB8l8BoVKqenCObGCGdbyMBDBB621NhCo5Oc9MYa+XqP+P3d4Yvo5ASVc9NEpydJb2+w+bV3qJyfIZhuUr0wi6oECE9hipJ8tUu+3KH7w+vYffoSnZrAn2pSuziHqoXI0Hfe/jin7Azov3WbYnNA2R4ceF/88Rrh/DjVC3OoRoRXj7DaYouSfL1Hcm2VbKlNsd7fM1G1Xr5I5ew0JitZ+71XqTw2S3RinPD0JNJTCCkoBynFxoD05hrx1RVMfHcyu68imsE0/WKDwqTk+9FcDoGNhZS3vrqGzoc7feE4n0ZbNpdSslQTVBS9tZxs4MLy1liMYRiSLj9yAYb2Ss6VH3Y5+XgVXVg2l3OWriSUuQu7X/1hl6Ci6K7nZImmu55jtEtM0tqSxXrfexKOzxJNnqA2d2bkKdkJUxaUcZfVH/4RpclJyi7r8TUX5TEukQa2fE3uBGLo+dmIb2BsiUFjrEGJjvMOCZ+k7Dqe3COEFIqZmeeQJQRhE6NztClZXnqNoowpy5Qk2cBagwC0zmk0TzEx8ThSqnu2r/DwhE9TTBDK2nA92PKhWDw8fBG46B2KYRwNTUlq+0O6Fm4j9zADWEqiJy6AFMTf/SG62wejQSmKW4vub3Ae0E6XwbdfJXr6IrJRI3n1TcrNNqY/QG92MYMdRo82FDcXML0+5coajV/8LA/tTn9AOE9hTmHS0U85HEd6mMCmpOc8japKpvtkOqEwGRZDpgd0smXGmvO7qA0WS2ly0rJPXHZGnOZM92kFs3jyzmdjGO2xdph8t3/0x+I84WnZIyk6WAylyUj1gFY4hxJ7nzlwzrVicw0hJcHULLLfxRqzN08lS9HDpKOgNk5lbJYi6eHXWlTGTyCEIOtvEG8s7Nu/u+En2PjcGpR2x9/7/27KHFPm6DwZfcaa4Ze5w34sk/7ecwjhMhLuQJneeSxgLVlndbgTlO6B3Pk2htT0RkbkdujDZXAWNqOrd8tyFDajsBmpGbDfl9vXm8MWBIfi8UiB8H3nXlc7vAXGYLV2nJt9dkQiCBBKgVSYJAazjydoSA6TUQTaYMti3/CIHR2rkIE/TKcVO/rhPrvvOR4UAlQ9Ipwfp/HcGepPn8RrVvHqzisw8fln0P2MbKVDttQmub6KLTXcafBJgQoDwhPj1J4+Se3iHJVz08jId4ZfoTFZQTnI6L16lfjKyh7j059qUP/YKVovPUbv9Zt0vnuZytkpKudmaL30GF6zggw8dF6SXF1h8N4i/bduoXf2RQpk6BOdnqL62AzNT17Aa1ZQ1RC0oewl5Gs9TFqQ3FxH95LhJHPH5UQ+wWyL+lMnab70GP54HW+sCsZisoJ0cRMVBQgl0b0EU2gw243UnzxJ6+WL6Dij/Z33qF2Yo/bUPLWn5pGhj1CSspeQLWzSq4XkG32KwhnoW1+MEtvTkbGO21zxmqOwkTYFFrOd/YwacfssjvcnhXRzNtYZLGJr+JrR89Ffz+mvH2z4DtpDo8VC2ivprmb7Ty33g6FHSPghtsgODPkdCkIglHLPrnAhZFPsE4IUAiEVwg8webrvcxR3SpJu6TzC2rK5lJH0S3RpwULS206QSXqa9gr3dU+C1iSN008w9vgnUEG4532dpWTtFdbf/Ba6cOHqfJhQdC/08ofPVrbWOr5mFjOa78HdM7Z/H70m1Q576A7DSAiazdN41icKx2h3rpENVtjceJ8872PuMIbTtI3yIqamntnb1j4QSDwCQlnFJxh6Qg3GajRySNUSKJSjd1EOI2uajASFM0QeOuQuBd7MJLrdJb9xm2JhGZtlgDNqRvNCWWLKkuydS8halehjT5Jdvk6xsITe7Oxt2FrK1XV0p0u5tkH9s598qH4eBhYorfOka1tQDDmaMLxv1rowt4rwZERuEkqbjY4pTcag3MRX0R2RGuv4oCYZjW9jS3KTIoVj8x6uvwZtcnKdjKKh2pYUJkUKhRQHtGs0Ra8NQuCNjbm1X+s9VMJ8Y1udyI9qRM1p/EoTL6rjRbVhTkwxVJv4KTA+hfRQXoAUirJIENJDej66SGHI+TE6AwReUEGXGdZolBc6+SSr8bwAY0p0eTdvoT2cDJG1cBf+jt2z77R0ytV7JAzdvR8PbHhai5ASb2KSymOPUbn4OMH8PAiB1ZpieYl8aZHed7+L7vV2Eb+F79P6/C8QnjpFdOo0C//9/4tiZa/EhWo28SenmP6Lf4ns9i0Gr/+I+K23RhPVVj/QJapeJzx9mrGf+zm88XFUs4Utcsp2m+zmTXrf/S7FxgY8pPdL+B4n/uJnqD42S+XCHL3XrpFcXSVf68F/85+x8dW3CU+MEUy3CGdbLP+772LKvd9ldGqC6mOznPovfwEZ+mAs3R9eo2jHlJ0YGXh4zSrRqQlnBnkHhwFVo0L18Tlmv/BJGi+eR3qK3o+uo5McLIQnxynbA0yS7XnAg+km03/qE7RefIxgqsHgvUWSy8sUm31k4BOeGKN6cY5Tf+UXSa6usPA//hHJrQ10f3vcy9Bj9s9+mvpTJ6l/7DTxpSXiq8uktzbcdTQimh8/R+U3PolJS278P3+P9PYG+cpuioeqBIQzLc79H/4UMvDAWtrfet8ZmAKanzhP5fwMjefPIkOfwdu36b561SWJyAqnG88ikRgMq/E1fBUghGAiOo0UEoGiky2RlF3iss1YOE8rmEUIGBRt2tkizcAlo8Rll1DVUEJR2IysHJDrmNzch2Fz56Nk7/LePeDVm4QzJ5j67C+z9vXfZ3Dl3Qdr4G5t1xpUzz1O7cwF/NY4MozYeOWrdN96bfdxjRaV+TNMfPrnWf7yvyNduLFve9bCzbf7gPPy3vVa7/OehK0p6qcuIr39lxoZhHjVBpWpU2SdVcrBo6QNWTCG5e//geP4B9FQFcVHBhHSC5C+jwoqSM9HBCHVqZOoMDqgOUu3e4uks0y/v4QxuUuGMgcrkcSDFRYXvkdR3HtcluSUtiAtByNngx1tqgTSbDk1tjcXBo2HDxa6dv0Q92ify9Sa5LU3Cc6eZPwv/Brpm+9RLK6QvPkeNk72OF1+smDvkOcyB6ytB/HQ9+fzWWuHElv7fOYeFMC7wVrQ5i6SYge0a63FpClCunXJqzX2PU76OyWcBFL5TD/5GZKNBdYvfZfmyaec3XUI/MQZn1L5VBozLpHHGsLahAtzeyGDzm2UDAhrk+RpB2tKpPQgbAJDXT8hR/p+RTYgHRT3R/T+gJGawaG13w4Di0UGAfXnn0fV6yCgWHaUA6TCa7UQno/JMuI336RYW9tliEvfR0YRslodDeA7IYaeGVWtIsMQ4TnKwz5+VMJTpxF+gNWast1G9/qOfO55ROfOUXY6qMVF0iuXH+q6hRREJydQ9YiyPaD3xk3y5TZlzz1A3R9ew79Ww2tVEJ5C9zNsecf3IqD2xDz1Z06i6hHxpWXSG6v03rqFHmSYJEcohawExFeXyVe6FJv7eMp39MmrR0Rnphi8s0DZjUlvbbhQv7Wkt9bRaY4eZDs8heA1K4Qnxqg/fQpbaOKrK7S/9R5FJ0b3M4Sv8G+tky5uMvHzz+BPNmi8eJ6yn46MT1kN8Cfq1J6cR9Uj0ptrdF65RL7Wo9gcIDyJqgSU3YTGC2edx/iFswB7jE8AlEBVAgaXFslub5Dc3Bhp+uk4p3pxlvHPPEHl1CS6l9J99epIQsaXEZkekBQdchMjh7vpwiYuTKUzPBnQCKbwpONdDcrNYbKJpBXOEarqMPPZOl61UHg2oNTpkXFGHwhDb5kMI8R9hFYfBKbIyTfWkH6AzlLqF57alSCw3QeJUN6wD3fnQhp9RHwCIfCiGl6ljopqB4ZP3RzhEY3PoLP4ERufAJa8u4FO+gjPRyrPeTc9331vyhv9LjyfoNZE+uHQ03xHS9YyiFfIknXKMr6v+bwoYvr9hT1e0bv1V7PfOLZozJ4IWCRqRKKKEorBKB/gIRNTjaVYWMIWhdPtLDWy1aD26Y+TXbpGub6B6R1M7/kooNApSvgEqoInQ6TwMLbElyE1f5xCp2R3ePDtjn/vB1sJxkp4d+EwH+57tGVJcuvaPVUhdLp9DVl/w9EK/ZC0t06R9sl665gyO8BAvzt+Io3P+thpsmQTXWQ0J8/jBVWUH1LmA7ygRmvqAnF3kbJIwBiUX0EqH6NzpBeivBBdJKSDdfK0gy7vtc3/4JGZR/ywWhBhSOPTL1OsrVKsrZHdvImQElmtUn/xJYLxCfypKfKlpaHX8YMw0l2oKzp/nmBujvitNym7XXS/T3BinmBulsrjT2CtxWu1SK9eOZw3egtSEMy2EFKS3t6g873LZAuboza737ty7+5KSeO5MzQ+fs55FH54jc2vvkW6sLkrFH3/fZKoWkg4P87Kl75HfHnFhfrvAX+qQeX0FPVnTtH5zvv037rF6u//aJeAswgUqhZRf/Y04dw44z/zJP03b5HeciR0r1klmh+n/vQp8qU2nR9cYe0/vkG5uWM8SkH3jRuoekh0coLWpy9SdhK6r17b2ynrQm/dH1yl/col2GG4D95fZOwzT9D61AWi05PoOBs2r1DCQyBJyh4b2W1yHY/C8HHZJSsH9PM1TjWepRFME3kNutky7WyB1AwYD09wovbUKDlJSTWkt7ifvlintB+cYPK9YV327z2MPxges5/rUcphVGUoBZWlpAvXKTsbBFOz1B978u4tD8funj4cBZ1lz7kkfn0cv9rACyt3PVYqj2jqJFlnHVg88r7cC+Wgs685tx/GL75A0JgAsXcjYTEM+kuuUp5wmfd7uXq7Db+iGFAURzf332kE1ESTQFRQeGTWGRKuXw+x5llLcWuJYmmV7L2rRM8+iX96nuqLz7LlTc77g7s0/2h5nB8Ech2Pkn1dZnxEoRNCVaMZzJDpAanu3buhu8BYPZRqCsiFj0ByVMoftiyIr74/ShZzL94R6RVi199pd5U8buP5EbrMMUVG2l0dFel5UPzEGZ9Yi9E5WdymSLtEtUmKrIexmqg2ifIjrCnJky7GlNTHTg4rFmmUF2FMSZ52KfMBukiRyhtVNPppgpCO45G8/z7xu++QXr68LTYvJSbLCE+fpv78CwQzs5SbbecZPfKOgFCK5OpV0qtX6P/wNRfiN4bk3XcITp7ExDHh2XMIpQhmZig7HUx6yOQqY0lvrhPNT1B/6iQTn3uKwaUl+m/eXwkxWQmI5sZHyUWdVy4Rv7tIttQ5nOE5RLbUZu33f0i+2rsvwxOg/vRJak86fcLBOwt0vnd1jyFhC43uJWQ311FRQHRqEn+8hqyGmDijcnqSxsfPITxFurhJ+xvvoQfZ7hMZi+6lZItt0tsbVM5OE0w3UfVoz7G6n7Lx1bdJb2/sMjwBdJxRtgfkSx1UNcBrVZ3H3aRoW3Cz/yNq/gQn68/QyRZRw6odpckoTDqUFnP8ZiU8LKBtMfIwSdRowoZtT8NWgPJDw5D32Xz641RPX8AfGx/xMv3WBGXsaC2q1iCanmPi5Z9n7Rt/QHLrKgBeo4nfHKf57EukCzfovP69Q/QBEJLW85+i/sRz+K1xbJGj4wHr3/4KOk2OtNiE8Hzqpy8SNCfv79iTF0hWDlfG78cFAkEYNGlVTjI59RQCQRyvcvPm11EqwPMqNBonGQxWHlnJzbZZHQqWuapHAOOTF4kHK2RZz3EYh9JPukydVJVylDQAKT10mY7+3oKsVR2FLU5IfvQ25dIqMgoRvo83N01+844EFK2xeY6IAkS0l/v7kwZtSxLd5XLnFRrBNE9P/AKwxT0vud1/k7jch9f6AGhni2hbcrb5Isa6RKLV5CqDYpNuvk8lpweBkHj1BtVzF6mePg9CEN+8SvdH30OGEapaJ5ydJ711jbLvPObViXmqEycJ62PAVoUOS9pdYe3S3oz6e+Enzvg0RpPFbco8dvpo8YbbCxiNF1SQRYLOExd2t4Y03hwZn0IqrC4x2nE9t7igH+rC9CHCak2+tES5vobu7Q53levreK0WKOXC65XKnp3QkUEIym6HfHkJ3evtMqDKzU3yxUXCs2eRlQqqNYaOEzik8Wm1YfD+EhiLqkVUzs+iqtvZ7pXzMxTrPXRa7JtVLj2F16oiQkfez9d6lIP0vg3Gg2DSgnylu39W/QHwmlW8pvMqBXNj1J6cJ5xr7T1QCPzxOjLyEb5L6pKBwsSgqgH+eA0hBX6rRvXiHMFME7tP+bvo1ASqEiADz/2EnuOl7ryOQpOvdTHJPoaMsdhSY/ICOczkB5DChd1d6D0gkJVdenZ3emkshlT3kUJR88cJTI4nQzI9oDT5kP8ksLjqYUI8YOm5I4arJhKCMZg8pei0UaFbgIPJaZBylHkqgxB/bBIZbPdZSOWqsTVa5JXqIfugkEGI1QaTpRSdTVQUIaMKwdQMRXsd3d3E9x3VoSxh+PVQukRmpHC/S+l+z+7iSBZSEbamUdG9+yuEdOH5Sg0VVIYKIXdIykhwjAJBOaykFIRONss5cwVJbHY5jLeqMxljsQbkMAHcWIbXCWVhR6+XpXtdKsgyu1+e6b0uhHrjBJ51c0MYtdDa3SRrXTnkRmOeoogfmfG5X4je8ysEYQMhFEIqlApQKqAoYheF8CPKInFZ+UKSJXfwVqXEP3UCodQwgc4iG3UATJpi4r3Vm0ySUC6v4U1PIsMQVa+iuz1MkmKG2fFIiT8/i6xEyHoVUYlQzTrBY2exWYbNcsq1oZGjJP7JOWTNlWeWlQjVahA8dgabZpg0Q2+0h8cqd2x9x7FjzT3HZtr1ozAueac0BZ18mbh07WwJu2tTjAob9Ip15DBqIxBoW1KajKTsDqWRnKGam4SN9CZJuU2/MlZT6IROtjI6905keoAoJLV8HIRwcl0mwwxlsowtyXXMenqDrNz2nm+dr5MvExftfceF8DyiE6fwGk23PoxN4G0Mx6S1SD8gmjtFvrYMQ+PTlPkurz5CElSbCHk4M/Inz/jUOd317dBod/3qXY+Pux+MOv9HAbYoSC69R7m5uee9st2m7Lidm4giVO1wi979otzYILt9e4/nTvf7pFeuUHvh48hqleDECcpOe4+xfL+wpWbt939I9uwZhO/R/MQ5VDVw2dvA9J96kc2vvUN6e51ibW/YRPge3kQN6StsqclXOveUDLofmLwkX+tiiwcwPlsVvKb7XqZ+5QWmfuWF+/qcDD3H42zHqGpIMF53C+dzp6k/d/q+2hC+QlVDys7uhcZqTbExwGQHVCaxFlsahBSIobqCE0iuMRGdxpfhMAx0cGhOm5KN5Aat8AST0RkMJWnZp50vIPFQ0idQEbl2CVqeF9y1vQ8cysOrt8hWl+i9+zr55hrVsxcBqF14GrVwg2LzgzVGhOfh1ZukizcZXHuPor1B/fGPUZk/Q/3xZ8luXiKN20yMS7SGXs9Qqzq1gMHAUokEngdxagl8CHzB6po5sES3VB61ubP4tb2boa0o0xb3XkiJV6kR1McIx6ZJ1m67UN5WWxKCUFCpSaSAbsedtDWhqFYFYSQJI8GNKyVZZkZGo1JQa0iy1BnTlarLVyxLGBuXlCV024YwcmbVoGtpjLm21pY1ZWkfKHdGCsXc3IsknWXam5eZO/ESynObDGMKrIXJySdJ0006nWv33/ARQ0iPSm2Gal0SBHU8v4LnRWSZq0vv+1WytD0Uy89dYq4uRrxUoRS1n3kJb3IcWa85RZKyRPcHJK+9SXblxh4nRbm2SfLDt2j88c+iGnVMmpG8/g7FzQWSH73jEmADn/rnP4Maa6JqVbyJCWS9TusLv0y5skaxtEr/K99wlLEgoPHHfxbVaCArEf705MiwLBaWKRZXGHz9FQBkFNL45c+hGjVkpYI3NY6sVpC1KsXtZYrFJQbf+B7tbC/l42pnO8pws/ejPe/38zX6+d2f3dJk9POMtze+suv1LSmnfrF/IlhSdknKLpvp/hqahUkp8pTuxsodrzut0Lv1S4URYy/9DNnybeIblxmbmh0lF5k8c9GIJ54hvva+M0CBZHORZHP7HgmhmH7ij2HKnMPwiH/ijM8PG2PPvkw4Pk3QmmTjR98kWbrp5EvugcrcWaLJWZpPfnw06cKQZmFKFv/g3zjpg3tBCGqnL1KZPkn93G6Ol7WWMj44seVOWGPQvf6+VSScZMZQY28/ntgRw+T5vqF0N6n1sFojpETV6ogDMmfvC9aFhntv3CBd2CA6PUkw1aR6cQ7+HDQ+dora43Mk19dIbqyx+u+/j0kPqrIxNKaOgoNjrJOUeqCmxMim6v7gKunCxn2F/uMrK5Rb4fIdnJ/k2ir9N24MZcjujsG7C5Rbsk07YXAi0g/AIyxMgi5ylnQ2IsAXOgHhqn2UJhuF0lfjy6wLn0z3yU3GZrbgqDhWoyl4/pmQwJf0egJiZ4ysx4sUNiHwoV6TZLllED/CaIfW6EGfoteh6LkNXdFtAxC0xtG9hwvP3Q+sLtFxn6LXHglH55vrCKUYe/7TzIZrjE8GCAGeJ6hEAj1MPlLKeQ9B0KgLSg1pavnmKyn9vuXOCohepU7QnMSrNZ3Hd2c/rMUUuaO2esGuuTBoTVI9cY50Y2mX8dkckzz7YsjmujMsX/qse/5/+U/XePeNHD30xj7xbIAuLXHf0ByXSCFYW9FMzymaY4osNSzeLLl1vWTulEetLqlUJVlmKEvIUkutJjEW1lfiQwR5BFIFFGVCu32V6Zln7/wW9ieASPFQlJ0Hhx3OXdpxTvOhbu+QU5zaNTy/MtQeDYYyOtvPsy1Lev/rVxG+7yz8oTvZao3eaGPTbM8ZdbdHdvkaerPtPmOsq4aUZiND1eY5vS9/HeErJyEWDqMFWY7Nc2yWj+wbm+X0fu+r4DnvrQj97WOHP1swaUrvd7+y+1htXLWjdPexPzUQLpO96HVJbl6j9cLLdxywdzy6fJlgJO0mpSKojzvZyUNERY+NzweCIBybojJzimj6BN1Lrzuty/uA9DxkWCFoTrisVynxqnVXrspohH//oUHpB6ioit+ccBqC0kNVXUbpfRmwW7D24HJjO8nHO0nJD4QH+IwxziWxTz9s6bK+EcIZng9ZvcSWhrIdj378qcYobF72EqKTkwhPoeoR7a+/Q9EebBug1oWOratpivS9e2YQ33e/HnABsqUZZeJni5vE7y5i8uKec0C+0RtRCqw2I69v2YkZvLeIyct79iVf6WCy/cTWLVbbB9oEb/E09ZBXdjdSfbojPKV1QbZj6AoB45NQq0j8SKO6hji25EZT8QS+7zE5rljf1CRp+VB5NmEkOHPeGypo7H3fGjDGstJ2SQKmLIYanG4c2aFws/TDez/7W8/fQwhuj0oC7+iDyTN0EiPDiBCfRikJAwhDQb0mKIZrve+7R9NaaDYkaWbp9Q1hIEi9vcanimr49ZYzLndk+FtrnCh9FrvFy9t93V5UI2xN7dno+oFgYlrR6xjKAqZm3LLVHFMICUo4T2y96SrG1RuSWkOiS8vKYkm1JhmfkvQ6EFacB7c5pmiOSao1Sb8HZQG1OlSqghH19RD2oEBgjaYo4l0bMCk9lPK3yzkDKIkM/WEEwR0vpHCUF4szSreOl0OVFiGGxqrZpXzxICjyHQlOhcCaEms1UgXD76ikKmeQ1qMsE0db23kzrKVYeEDOYVG6Yhl3y4I3lnLpPrVbjbn/PugHOPanBm4s2aJAJzE7OSbC8906e0fSo/ICvKg23DRKxNB2MYcorQnHxufhYF2YgX3Eug9CsnqbvLtBtraA9ENUpcbkSz+PV224HeR9n9sSL1wl21hhcOsSMogIWpOMv/AzeJXag1+LLnlwctN9whXAPYJ2di7wR5Ptt4Vio0+x0Sd+fxH+T3DlH/9PzH7hUzReOEvz+bM0XzzP4P0l9z4uPF6s97G5RvqKcK6Fqn44nMKyPaDsuAzWbKlN/93bZIvte+9Ad+YBDDKKdcezLdoD4ktLpIvte4f/PwBHzYFadQ+AUyc8ZqcVQvisrBl6PcPaZsmZkz7zcx4n5xTf/n7Kv/3dAYPY6VkKeY9H4M56FsDZCz7//b+cww/EvkGBorAM+pa/8zdzLi+x10AVOxu1O37f5/RSIR9kjrhPOFvGhcu6PUNxu+RnPxPiKUG3Z4kqrttpBmHobJ7VdU2/7473lMD3BUmyu9/RxBzVE+f2yLjYsqTMEuKlawjP3xOSD1pTrgLdHZJUxkCWwsKtkmRgOXXeLVs/+l7K0q2SyRnFiVMeRrtNweRFxeqSZnVTc/X9gqgqkQo6G854HZtUzJ30EALWVjTdtsZaaLQkuhTo0jqe6AOPcevC61iUCnZtFqJonGp1epR/gACvUSU6P0f1uXO0v/wqZpAi6xG6Gzv5omqISXNsUaIaVYTvuU1xNUTHKfmtw+l2bqy+c8crw/l1h7Nhq4rU5sblD259OMaHh+FmFCEcv3xnBGJyhmBs0m2Wd2ygvEqDSmsGv9IceTp7S5fJ486hxsix8flAsHQvvU58+woyrJAs3xyW3ryPTxYF2hhS7RKfVFRFZykqrDyY8QlDb6XBFBlCepgidwPlIPHju1/SoWDtjlJcUrCf210EATK6u8zK9rFON/TO0LvTy6y6BckYdJI8nOSTEM67YO3uUNfwVxPnDN5fJDozRXRqElWPkNGOyjtZQba0SdEZEM45jc348grpzXXKXvKBGGUHIbmxiqqHtF6+SPWxWXSckS21OdCGEyA85bylw+8qW+kQX1pi/LNPEs60aL74GMUfvE55l8Qn4andlUx+jNDtudKF3b4h8AVRRfD4uAsnb7Y13Z7m1kJJljvjImz6TJxv0luMyQcFZaaRnkRIgS40lfGI2lREb2FAkWjKoat1WJDLJeKovR5JbUApO0wyl6hKFa/eQNUa6EFvJOpc9LuUg2E5wqLA6BIVVpCB08W1ZYlXbxJMzw8zZg4HoZRL6Kk3UdU6Ou7jNVoEkzMU3TbJap/125qvfj1DCMhzi6ecUVKWFqWcrmWaWorSUuTuXhfF3jEQNCeoTJzY46nVRUbeXSdrr6LCvRxy6QeO+9mYILdDDynQ7xrefDWl1zaUpeXNV92ce+XdnF7XkMSWzobBGNfPqCpIBpYkdjSWhZsFnU1NnlnKwnlqX/ma4yqniaHILVFV0hoP2BL8jqJh4tUDOHWsNayvvwtGc+r0z1KrzmCs5ty5XyII6gghWVt7m8FgFRAIX2HKknJzqHDhK/zpFv6kS/jTvQSvVQdPOn60BbAIJY8s2jLs+e55y1oG/aGn8Njw/EjCFDn9d99AVaqMf/Jn8ZvjcEYw+bk/gd9oYbWm99YPKXdQgvK4jSkzpApGm2nPrxx6LB4bnw+IZGn/6iD3gjXauaiH4Tadp67c5CFif1aXLmt/yDWVfjD0xD46Y8BqM+q7K/Gn9pT1k0GArFbvK1wogxBZrWKybJcRKzzPieAriTUGEyeHzywfJrn4raoz3rfCyztCYcJT6F465MFa95mdHN1SU2wOKDYG6DgjPDVBdHKccG5sxNvE2OEi5gzdrft1IHf0kMiW2vjjdUxaEJ4Yx2QF7VcuYbNyO3S31Q81XMCG5TG3Qnbl5sCV3YxzVCOi/vRJuq9ddddS6r1tSAGewqT5kSRaHTU224YktayuaWamFa2mpFFXbLY1nY6hH1uWVjVbVWP9isfE2QamGIY8yQmqHipQ5P2C6mTE2OkGWSfHlHZkfD4YXLEFr1rHb7bAGryG8/qVvQ56yNPeLj9rUVEFr97EZClevYnXaI3G0ghSuoo8kTNW3d9uw2e1BqNHlBqx1YdaHa/ZAmvxm+N4zTGKzibxxoDBhmFj0z3TQ5bLvr/f/VIlfq1J0JzY89ybIqfot8l7m3ijDeTWAHNJStaP8OstdJ6MjM8stdy6tj23bP2+vOA8loOeZmNV72IJ7exne93QXt89z17q7h67jZYlzyxYx/9UvkBl9r71P8FRG7rdW1T9cVevXflIfCYmH0cIRVEMWFh4hSwbLuhSYEvtPJ3GIH0Pb6yO8D1sUWKSHNWoIGvOqWDzApMVbrG/T7rXYZFnj1rs/xiPErYsSG5epXbhaaL5MyAFXr1B7bEnkJ5Pvr5CfP2yC8kLiZQKWxYUO3djQuBPn0XZw0X+jo3PYzw4rEV3u9gkBQH+1BQmTSlWV3cd5s/NUX388fvixQazs0SPPUb/1Vd3eTZVs0n16adR1RomjklvXEcP7j+paidk6BNM1Hjsb/0ZTFmSXF9z8kZJPpIMmvtzf4zWp1x9dJMW9F+/4UToR9cOaMv6H7xOenONU//555n61U8w/nNP03nlMkV7QNlNHJerFjrZoqwkW+6w9K+/daSe0fTWBlZb1n7/hzQ/cZ6Jn3uG8OQE6a0N8qU2Oi2QoYdXC6k8NgsW8uU2q7/3Gsk1911tSUWtf/l1ak/N03r5Iv5Ug3ylS3x52WWtC/BbVcIT43jNCuntTbqvXqX9rfeO7mKOANbCH307QeDsf+kKmuEpgR7K7SBc9b8R7c5XVCYiZp5RZP2cjctd5p6bpHWqzub1HlIJ1NATeliYPCW5eZ1gapbxsUn8sYlRMl/3rVdHyUe2LCna62z+4Fs0nnyO8Zd+Bp3E5JvrFL0ufmt8V7vh5AyTf+wXUJUqslLFb44x9vGXqZ69SLqyQHL7BvE19x3pNCa5dY3K/FmiudOuD1qjk5jVr/4u5aA3uoc77+d+vx8EoXyCxjhBcxK/MbbnfZ0OiJdvEC/fIBybZqfhOWpDSuonLwCWvHP3LOKH6eud6HUNX/sP8ShnV5cP3o7FEMcr9JJrrK2+SRRNoJQPWLKsS1EklGXKVmhCxxki8NGVBFkN8eoVgrlxys0+5SAjvb6MP97Am2hQ/dgZ8uU2xe01ogvzfLCm5zE+6rBak60skm+u0fnhdwjGpx1FzkLR2cBkGSZL8MIaQWuaxsz5fZxIgvrUGdLuKv3V6w/ch4+E8VmZPUXlxDmK3iZFt026ukOaQCrqZ58gnHA1oOOlmySL17E7aoRX5s7g1Zr4jXH6194hb7uFWVVqeNUGtdP71ybuXXmbvL22KzPzpwHWGMq1NcrZOTCW6MJFZLXmEiesdSG+sTHC+VOoRuPunk/rFl1vYpLo/GNO+y1NsHmOrNUJ5ucJz5zBJAnF+jq609lVZ/6BYAwm1xSbfVdRaG6MYLLhvLhDT2B0ehI9yEhvrZOv9shXe3u0LGFYWlII1v/wTcLZFl6rSnRmivDEGKbQ7pKlRHiS9Mb6rlrqRwZjKTsx3R84T2U0P46qV4hOjLvrMi4EjXQhPt1NSJfau2WQrMVmJd0fXaccpJg0R9Ui/LEa9Y+dAm2ciSAFwlOY0pCttB3F4McQO53vW09lIe7C3xuGWb3IZfY25qoEdR+pBNJzhqcXqEPn+pg8o9hcp/vWDzDDrB1VrY2Mz7LfHSUfAeg0Ib5xmXLQRUUVTJFTDvroJKbstck3tg0yncQMrr3vykL6/shTodOYstehHBq1JkvI11fpvvkDx/NCoKo1Fz3JMsq4jznsM7UD0vMJx2cclWifpECdp2SdNcp0gJfVKZP+qG76FoSQhOMzZO3VPZ//QGF5oBD7gc1YM5RV0qTp5jBjHMoyQeuSnZwYmxXobkyuDTrJsHlJ/M4tTJyh4xS0QccpFktyaQHdS9D9lPz2OvYAKbN9MSzx6tedt7157plhDfvAyetsJTIZjTXGKSMUudN1HHQpkz46T+9L1eUYd4EQqLCKCiO8SsMlDvshMohc9FC6n5Hr3hg3nnSJLQtMkVFmMTpLKeMeOk8erjqZtY4OWJbkYn2U0KbjgYuYWIsKIryw6vowjN7uxJZW+mHwkTA+qycvMPPH/jiDm5fp37y0bXwKgVQerSc/wdjTLwKCte//IdnaEnqH+6N2+iKVubPUTl+k6HdGxqdXbVKZPcnMy7+8LZYs3WolhKAc9Ch67Z864xNryZeXCebnsUVB9cmn8KemRtlvMggIz55H1WqO83lX49M9AN7EBKpeG4ahOsPymifwZ2YIT58hvXyJfGkR3T28LI0tDTrJia+sEJ2aIDw5gT9WHdWcBwimmyRXlun+8DqDdxfI17r70hmK9R5lN2YlTml+/Dy1J+epPnHCibCHPiZ13tRiY0Cx3iNb6ez2eg4J/luG72GpBLqf0vnuZYp2TOXMJBM/9wzBdBNvvIr0PExWOC/KzTWylQ6D9xYp7zCErTb0XrtGtrRJtrjJxOeeJphtUTtzwgnBG0vRTchXOhTrXeJLS+Sr3T1t2HJ4HXeWadsJYzGlxjzENe/CfUh83PVta7HGIqXAjzwac1WULykzjSkMypNI7yG8nmlKvtEh31jbkbe03SEdx0P719VhMllKfOMK8Y3Ld7S0raMnhi2V/d6uakdihxfR7vjXpAlZmpCtfrClK6UfUJmaR91RTnNL11PnKVl7FZ3G6Cyh6HUQLW+X8YkURONzJKv7axv++GNbo7Ysd9f2dlPMdslNm5fovER3XAa4BoqlzV2fMXGGiTPKte3nLXuQjZ8QCOWh/JDK1EkAxp/8JH59zKkSVBsuMiUltsidKkOeksddyrhHsnyTZH2BordJXha7uf4Pi6Ge74GcQWuH6gAfVELsDgWBfc4NHMHaLoYJXO57cJGBCaLJefxaE7/eIqiPO7pM4DYECAlGO4NPl+g8pUz6lHGXtL1K0dskWblF3jXoIntoAxRr0f19aBZC4gUVPL9CmboNiC63N8pCCKLmNGV+OEfER8L41MmAbHMNr97CrzZGr0svIJw+4SbDYRzOq9YJJ2dJlm6MvJ9+YxyvUiXfWMbsuJFFbwNTpCx85XdQQYj0A5pPvEDQnMCrt/b046cG1qL7PeK33kL3etQ+8Qm8ZpPmZ3+WLfmmfGmR+M03KNubzPxv/ncHPiCmyMlu3iC5dIlyc4P6J14iPH0aVXOZ+3owYPDaq3RfeWVPWP+Bu60NepCx/DvfQXjK/Ui5Hfn7d3+JS3//X2PzEpOVrtrQXXi0ttCktzfJ1/ps/NHbiGCH9I4dLrraoNMcm29PYkIJGqdalCubLP3r77D6v7yGyQvKdrxvZaH7QXJthez2Ot0fXt9OSNjqh9k2DHVSHGj0Fas9up2EwTsLCE+6RWmL6zfkgFpt3IJ4R+nMlS99j7Uv/8iFbTb6B17H4N0Frv1f/73j8Bb6oWgI3swUamKM7PL1bS2gB0RvKeaN37m6g9NoR9+hKS1CCqQUZINiJGt1/xC0KvPMNDwCr4avnObl5uDmqCLJqfEX8IbC+puDG1gstXCSTrxAWnQxtqRVmaceTrHSu0TFbzFeO40QkqKMace3KHSGlIrpxgWk8BEI+tkaSd5mkB8uI/owUEFE48yT+LXmnvfKpE/Rb1N0N7BGo/OEweJV5wXaVQVJjDij4dgMeW9jV5TqxxkCQRSNEVROMDZ2Ht+ruKzxO2yblZXX2Vh/94Pti1RIz2fs8U8QTc5TO/kYKnCbgsbZp0YeNmf4uQ4K361xNqri18ew1tA4eREzzC/o377MYPEKg6XrFP3DZTjvROux56jOnKF5/mP7GoDFoEO8eI3l73/ZjYEjrK4XjE3TOPMkYxeex6vuHa+myCiTPre/+kWK+HD8VxVWiSZmqZ04T9iaojJzeuhx9oeqDk4/W0jlNo47DWEpUcrD8b+rBI0xrDHUTz7uPJC6JG2vkLVX2Hz7e+TdjRFH+ijgNVrUn3yO5PoV0pWrQwmuOzYewnn6D/t8fiSMT1PklHGPcGwKuSPjWyg1mgh1ljgPl/Lwa02SHWEhFVWc4Gp3c1fSjC1LdBqTri0gPR/p+VRPPYZXqT+6izti2DwnX7jtwuPsFg/eCZOlFOvrxG+8Tr5wG925w+NoDLrfI1u4jWo2UU2XyQvOk5kvLjpPZa9HevMGxfIS5ebmLk3RYm0Naw2q3iBfXqJst8lu3kQ16qOwoB4MKFZWKNbW0P3DcT133wC7pyrPTuTL9+dZDVohQgqydoouNA+yP5ZK0jzbonerS7zUG8klPQxsoV0/HiIJyGqDTXLMnTQDz8OfnoDA+daEUYjcScB4k2MAiEaLsuOKAch6zenEKeWSJ7Ick6TOi6oURqqhULFB1g02d4KSanJ8xK3UnS42L51XfGocMZQDMWmGLZwB7U1P4p+cwwxil4iWZpgkeaDEO1Nasq3kk23n4m4c9Pp9wFcRvvIRAkqTA5ZqODGqW+/JECkUBkM1mMCiEUCgKoAl1wmeCvFURMVvEfp1lPTdcyMD6tEM/XQVsER+i7yMycoBpcnQ9tEZbUL5qLCCX2vt9mQCWEsx6FAmg5EnyZQlWWfNeW52tiMEKIUKKwStSYpB5+DFTQi8sZoTJfcV0vewhabsJcPEHIE/3XLOcWMp1nvuuChwY1wIZOBhtcaWxskalfrQiZtCSJrNUyjtEjRcPfRyj2H1QUfKZBARNCaIxqepnThPMDZNODY9krBSwQGqKFsVp4ARqTSIAIspS6pF7pJPggr925fQyeChDB6dp+g8wavUh0bZtjlirXXh3iKjMjVPurF8ZGF/GUQEzQlqc+eJJuZ2redbXvpsYwmdxu67egCjV0jlSldOzOPXW0QTc1Sm5131rvGZYWj9PrPDd34fd8AOtV9VEFEO+sQrN8g7a+TdTY4isUD4AcHkNMmtqxhd4IU1lB8hPZ8i6WOKFF2kFEnvQBviXvhIGJ86S8g7G1RPnEVFNYSQWGucm3t8GqtLiu4GIogQUhGMTboQMQACr9pEBhF5Z32XdJI1Gptr8lH5KkHryS6mMb5PL34yoHs9et/+9r2P63RIOh2S9w7eoZskwSQJnaUdJUy3HqwtT6dSdL/5dcp2m2Jpt9Bv/NabCN/Hn5tF9/uYJKX9B//hga/pw0Dr3Bgq8lj+3oITVX8AyEAx9/IphFqgc2Xz3h/4kCFrFaqfesEZlNaSXbtFudFGb7apfuI5AGqfeYn0jXcwgwRvdmpUyk62mpTLqxS3l5D1KjJy9Zplo47JcrJ3LlGubWC1ofapjyN8t9tPXnuLcrODbneInnkCb3IclKJYXEF3upjegPDCWaKnLiCjkHJtg2J5leLmojNmD4ODvsaH8c6qECkhztsMsnXA8tjUZykCt5AaW5KXA3IdM924iLGG1d57REGTKmP083U86cS/x2unsNZSlAlp2SNQFWabT1HqlLyMibw6m4MbrPWv3L1THwC8Sg2/1sJvjO9ShwDnHUnXFsi7215Yk6ckKzcxF57b9jbvbK/aoDp3jmT11oFydkJJKk+exGtW3c94Hd2NGbx1k3y5jQw9xn/heZdVnpd0vv4W3niNYG6c7NY6wld4Ew3MIEUPMvKFdcp+gs0OZ7QLqTgx/ynSzgqbm1dI0nX0PgLcafoBPvNSEramaF14jomnPuV0pB9CostBOMfL3FkqM6cxRc7Sd36XeOUm8dK1Q7fav32JordJ6/yzrviKckagGIapvWqdyuRJJp5+mdXXvkp2FManEK6S1uwZxi6+cGDIvb94lc23v0sZ9x5osyD9AL/eYu5Tv0w4MYdfb+0Z20cBIQRBfYyg1qI2e5b2pdfo377MxlvfOZLNjfR9gslppO8jhKI+fZbq+DxBbYzOwnsknSWSjQVX3eiQ+GgYn2lM3l4D6yR7vHqTMu4j/YBocg5rNHlnfVRRIxifcQRfz0dVak5k1VqyzVV0fn+6nR8ZSImq15zM0SB2GqJZhoiGJGhP4WKQBt3rIcIA4fuYQTzkE6lRuEBIQXTxAjKKyG7ect6rssSfnXbJKokrmWiLwn1eKYTvb+ucDj0cwvMQQTCsZoQjQff6oyx41WoiK64gs0lTTJLe1eBQkcfsiyfI+zlFPyeadDSMMi2JVwb4tYDp52cAuPDrT7L8vUX8uk9QDwjHI7yKjxd5bLy7RjEoMLnmxMunqExViMYrxMsD0s2EeLlP43SL8SenEEqQtRPa729Q9HO8qs/8Z8+gE7cYOR7hj59O5p3wZqdRrSa63aVcXqPcaGPSFG96kupzT5NfvwlA/2uvED3xGPJ81Xkg45Ryo0P5o3fw56YJn7qI6Q+wWUa+tIp++xIiDKg89TjlxiZm6LW0bVdKr/Lck+hOj+z6bWxekN9cJL9x25XOK0us1vir65QTLeIfvO5K9WX54ZPRPkAYa8h1gjbFKLy2lYiibYkeVnha61+h1Dm9dIW51lNUgwl8r0acbbAZ32Cidm7oQXUVadKix2LnLdKihxCCvExGVaIeNaKpeaKp+f3ftJZk9RZ5Z4fxWRak7RWKuIcpMlfpacci7Veb1E+cZ/Od7wK9/dsVAq9RwWpDdmuN/mtX8JpV6i+cp2z30YOU3vfedwmD1tL45MXhfAYgQApk6EOzStnuE7976+F4yNZda5q2WV9/G31nZaCtaz9kRZh7wa+PETQnmP3kLxM0J1BRjYetBrcHQiB9n8nnPkt15Sbd+hi9m+8dzgNqDEXcY/n7X2biqU/ROPP0ntLJXrVO4+zTJKu3EFKRri88RN+dNNnUs5+lMn1yX8PTFBmdK6/Tv/ke6ebyAxtypsgpBl2nT/0BFIY4CLWTFwmak+S9TbLNZfLuxp5j/IkpJj/7S7u44QdBVqtEsyeQYYRUHrXJU8Qbt9m88Tpjpz+GKXOSjYf4LviIGJ+myNBxD2stUnlOwD2NEVLh1VuUvTZlliA9HxVV8WqNEQFYRVWE8rDWUA56o9JzPy0QSiGGGpsyCtG9PmWWoRp1ZxgCIggcT2swcN6sSgWbZgjfR1YqmNxpcwopUeNjqFqNYmUV7SnQGhFFyGoVVashwtB5TGNniKIkslpB9PujiVJEEarZGIZ/FCLwXeg2z5FhgKxVXX/DkHKz7eoD3wVSCWon6vjdjKziU52pujJ/aUnWTpGexK+7jUl1pkZ1uorfCAjqAX49QPoK6Utqcw3yTspgeUDQCAhaESpw70lPEo1XqExXqc3WsNaifIlOSpL1GBV6hGMRhRKY0mlKPkj10Q8LslpBViNsmlFudihXnQEhZqYd3/L6LQDKlTXkC0/jjbUo1zcxRQ/dG1Aur+JNjqNaTadTmGaYQUy5toGs15CtBsoaxCB2m5IkdbWhlUJEIapRx5YaMxhQruyW3rFphhn2y8bJQ3HCoqpACogHH8yGwFrtwlNCDqWgnJEohYeSBmN88jKh0AmlcR4eJX1Cr84gWyMtepQmRQofJT2k8NE2Jyt6GFuihIex5ZFUiToMgvoYwT4RIWst1hjyfnu3l8QaTJZQpgN0GiP93TXgpR/gN8ZQfoiQan8jQOBoHXGG7iXki27B9SbqjrMsJYO3bqJ7iQvBTzbAgk4yZNWdT3pO+1YG/pCD/HDfvzYlWucUZTo0Mh/NBlNIRdCcoDpzhsrMaVQQ3lHa1I6iUXm/7TZwRmNNOUzsYZR84ypquRreKnQi4lvqBe4YRTQ+A9ZQJgOS9UWnnFA+eMTBlDnxyk2qM2eIxucIxqZ2GYXS8/FrTaLJE+gsJdtcHupLP/h9VWEFvz5GZfokQXNyj0fSlAU6jYmXrpN11g4V5rfGYIoCnaWYPNtTTGGrxKwpMqfXbbRToBhxKs3oyoRw9134PtJzmfHC83f3e/i7X20glUd1+pRLGNvH+JRBRGX+DDoZYO4RHZJhNKRGuT54YQ2jS/JBG+VHw0IY0Sgj/zC8z4+E8anTmGxjFWtKZBAQjE1R9DsIzyeanKPbXiPbWHGhg5PniSZnQSqU8gjHp5Geh84ysiPklfxEQApnXAQ+IvCpPv8J8hs36a9vUHnyCWQUUqytE550WZLl+gbB3Cz+9DRxlqPGxwhPnyJ5+x3MUPNTBgHCD4Yi1ztqG1cr+LMzhOfPUa6vU7bboA3S9wnPngGtsXmBLgr82WkqTz5BsbKKrFQI5k/Q+8Y30XFMeP48lCXCU0RPPE7y9rsUK3dPRBJKUpmoEDZDKlmJCjwnHaQEq68vk6wnFP0c/o8wWOgz/cIc1hh0oele6xCvDBgs9Xnmf/88WTtl8Tu36d3sknUzrv7eJUxpUIHi3K9cRAVy6AUdUJmq8NivPUHnWptkdcDCN2+Qbjije+LpqcNVhrhvte+jwVZJP5Nku71Cyk2KI22jIQdpq5yqzXJMHDsOtTWjftuyxAxi56nWkZOB8jznTY8TZ4DmOfH3fuSMz1ZjaLR+sIL2F58OCELBq99KH8mtHWRucagG4wgEeTlgkK2P+FO5jsnLPr6qYq2h0CnrvWu0KieYalwk87rkZcwg26A0H360pjpzmsrMqT2vu8U1c2H3fnvP+9nmCnGtRas+ttvo8EMCLyBoTVJmMUXv4FC1KUrH88yHxRXE9rh1nnINnkIo6ZQW8nJ3tV5jt4tNPBQsWbKBtZp6/QSD/iJaf/CFGJyM0hgTT32K1sUX9hjyW9gy/td+9HXSjWWXANZvOxkfXaL8ABlEeNU61ZnThOMztB57Hi8ayujdgXB8lnBsmry7Trx0nXjlEAVYjKEcdOlcfYNi0OHEz/zavpzUsSdeJJqco79wCZ0m2EN4j6tzZxm7+HHCsRknMXUH8s46yfoCG+98D3sIQ9rBYnVJ98Y76CJj/MmXdr1rygKdpwxuXybvbVJ0N0g3l9FZQpn0nVFq3HypAmfkVWZOU505Q+3EeaKJWcSdnOohpB8y+dxnsUYzWL7hBI13dc2gs5T2a6+Q3r67LmcwNcvkz/yicywJHIWxOkZl/IQbb5UG9amzTo4ri0k7y3dtbz98JIzPrYQjWxQw1DPzak28ah0ZhI4T2t1EKo9o5iTSD/EqNVfxo95yklpFRhkPMD8hmZVHASEV3vgYslZD1esuWWsr7CGEy1q/dRsZhojQ7brKdheTF/jzc6h6HRGFmLwYhtRxXkgpKdttbJY7g2QYNs9u3UY1G+g4QQbh0DjR2DTdbdgMd+DF4tLQ81bByVtJdLeLP+lkmXSni4nje5fbtBZduN2ykMJlgGPBQOv8OCbXhC03YetcD8tvuuPKOKdMXKh9SzYD2Kp059ar4aLlhcoJVOclpjQkqzGL375F0AyRnkJnGp1pt3M1ll279zsyTxGOZ+WyUodEduXhRTV0kVL2O043EjcxWKNHbW7tlIXnY/IMnRyel1Oub4I2RM88jmrV0Z0eZbvraCpXrxM+dhaA6kvPY5KUYnGFfYud7/o6di/y5eo6ut0lOH/aeTMHsfOeZjnFwjLRUxfwZ6dRzTq6N8DEMeXSKiZOMJ0elY89ie520WublO0OHCJ0OjnjUa0etSva0kkW2BwU5DpG2xJhYaH9xijbfanzNkIIjCmHXk+3qPaSZZK8gxIeSdEBLIVO6KZL5DrB2AJtSgqdoo1bKJe775GW95OZe3SUDyEVMnBVifx9sobLpE/eXnXenX0UL/LuBtnGMpz/2O52hZOeisZn0Xl6V+NzP2Q3Vil7CY1PP+kS17Qhvbk2kjeTUeCUG3oFXqt6ZFEIL6jRbJ2l2TpNmrTRJt/jtd3YeJ9O58FFuQ+CqtSYePrTRJMnRsleO71jxaBLsnab/o33gF+jd/1tdJa4ssxlNjS8DabMh5sFV645WVsgWblN/fTjVCZOEE3P79JvFQIsktb5Z/EqddKNJbd+HiIBJe9ugDEMFq8Rjk0TtiZ3vS89n6A+zsRTn6J7/R3StfuX4hJSEU7MUps9S23uLFJ5u+6PNe7aezffpX/r0hGoK1iSlZtIL2DswvNk/baTrVq9SdHvuGei38EUmZuf82ToOS62E5yEcN9RWWCXrpF31hksXGHs4guEY9OONrDnQsUwUW+K6uwZkpWbu67FZCnJzWsUG2uU+0kr7YCq1NCpK2VtjSbtrGCtxotqwzKbOV5YxR6w0bkffCSMT6tL5+YeijWrah2vUkOFria4yVPKQQepPExZbIfbPQ+vWh+Kj+dDr+ePPw/vyCAFqtEYhbGF721744bczHJtnXJ6CjXMYDZxjIljqh9/DhlFbpEoixHXzhYFtvDd/8aM2jNpRrm+QdnrO2/ZUFsOcF5SKYccz+1ylmW7g8wyvK0sdyGxSepqxtfqTnA+z+/psbDghN+HGq3GmGG5QUF1xkk6RWPR9tE7FiKdDTUp78iAtdpgrcWv+uhMIJXEGDuUrnP81yIuidc2GH9iEqkkKlAoXw0lKthte0rpwhg71CBVGI12uUJ5SC8gaE6g0wG2LBDD0Inw/R1hNIMKImRYQfohGvFQxqfp9tFKIWsV56WMIqy1mEFMsbhCMEw48udnKRaWsUWBGms5j+dQbsmVCkywWebKlhqzLQEVJ5Trm+jNNuHj5yGwiLJ0uoN5Trm+ifB9VKM+8miVUoBYwyQJZaeLPz3hwq9Jiuj2sA+kPeBQb0gaLUm9KYcVkNyXUxRQ5IefE+K8TbyDR26Bzfjm6O9OsrWI7jYIk6IDxW7lBW0LkqIzNEa3x8kWuulOHc+d72//LqV7xozWOz5r2a+9+4HwPLxKHRXV9+h7wpCP393YpXKxE+Wg694f6g3uDoWKUcb7vrAWkxXYfDjWrJtLzCAjW9rApAXVx09gtTsuvbI0GkOeddJhZTdB+Mq1cRSwlsCvEVXGqVSmMKbEmN1eujheOzLjUyh3/+unn8BvTOwJtduyoBh0GCxcoXPldQDS9f31Xq0Zhn6H4WeAeOWWszKNJRifRip/R8TGjdnK7GmsNXhRjSLtH0KSzFW/ysqCZPUmQimCxhhbOpzbFLkajTNPkrVXydqr9+2dFMpznOTJuWFlrdEVD69bU8Y94pUbDBavHsp4vhNZew2vUifvt0nXF8k7a3Svv0XeWacY9Ljnc2btqIx2nqeOLy0UXqWGNdplzit1x2ZAILZoCuOzpGsLu43PPCdbvk3Z67gy1neBTmLKbsfpvhpN1lsfrs2SfNDePqfc3YcHwUfC+ATAGrL2GiqqEDTGKSZcpQ2rNUWvQ7a+glDSeUjBPUh+QNiaooy7FN0NfqoMT3DUg7GWMwTvMyPP5DkYg6pWMXlOsbKKLXZM3FIgaxVqLzxPdu2GC68D225CByGEk2dqtQhOn0LW6+ipSQav/hDUcFjuZ1RKiQxDZBRRbrYBJ81yN++n1YZ4dUBQD1GRR7Ie41d9KpNVrLaoUFGbc/qw9VNb3pu7j4XBUh/pK576S8/SvrxB/3aXpe/cYuKpKWZfmideGZBupvRvd2lf2sCvB1z8jadINxPKxNWU36mV6TfGqZ970m2Eipyi2x7ybhQ6SwCLQOJVa3iVqtOmE27yt7pwOpxGD2vxwpb4ujlMaH/nvSsKytV12l/83V2h863kiu6XvwZ/H7q//9VRVYytxWpLwDh99zLZpWsjA4OhXpzeaNP+nd8bfa7zpf8w9HoPzzFso/vlrw85snK4E3efz28tki8sOwPd6O3PHAJZapk7Jflr/80kg54hSdx38+YPUr77tUdRzelB+73/8ULIocZjiLV6GE6N3P0uM2qTp5HKZ7B5e5R4oMvMfUb5FOkA7P0b7361SePMk/sangB5d53+wuUDvUnp5oozknTpFrE75qHq3DnnNX37lb13oNB0vvrGkM/oxkp2a52l/89/dOF3a0mvLY+u05Rbde7ZHst2OxrysDCm5Pr1r6KTwXBBHqYb3TGP5fkBCVSHQP3U4y4Lffrk3qx2a9l8/1UGi1dpv/eDAzcAd4XRtN97lcHCFbxak2h8hqA5sesQ6YcErUnGnnqJzqUfkbVXDmjsHqcqc1Zf/Spjj3cI6mNOOUFtmyjSD6idOE/eayM8n877r90zIWhLVmnupV/G26EBvhN5d53Fb/8uycrNI9PKNEVK//YlLv/O/8N5L7XZIdt0yMFmNRtvv0LWXkVValRnztyhkevg18eozp52m40dShE67tN9+4f3JUqfb6yy/Pu/M5zrLZs3Xj+4W4ekq3xkjE8L6LiHVGpUFlMqjzLuYfJsSKyWmCxFpwO8at2VjqrWKZMB5UN4h35iUZbktxaGQrcC3elSrjsuWn7z1miyKtfXMb2+C60PvVJYJ7VUrKzuqmmY315EtzuYJHXeLq3JrlxzOqHWUiwvuyo3STLyfCZvvT08PsWWJeX6BulQL9TEkN9ecJn2noc/M025uUm52XYZ8b6HqlVdNvwBD4EpDJ0rbVSkkJ6iGOSoQNGv9cg7GdKXZJ0M/gKsv7HibCZjsaUh2Ugo4hJrLSuvLaJTd639W12Kfk7QjIhXB2SbCWVc0LnaxmhLOSgok4K0nVLGBXk3Y/l7CxRxgSk03etteje3PTpCKpQfuYW2dCEYr95EBSFFr+2KHITRcCLTLkM4jBDC6cZZXWKta6OIu+h0gF9rof0jMJysdR5LGBm1o7e2PN55cbAHesujsl+7O7LTR7/fWbWoLN10fefrxjqjc0vQ/iE4e7evF6SJoTVekqWWonBtra/+ZFUv86st/KgxDFszCqeCIFTj+JGbF2vjJ0derCzuDHl/BaUYPNBtlEGFaGJuL4du2EiZDMjuUoLYGjeW8+6Go0tFtV3ve8O5XIXVYTWX3e3syU43dpcX02blnqV+z99H+BXneY8yu/taYkwOAhoT/pByYYk7JX4omTpdYWMhJe2X9/U9OB3JU0MP1LbhbsoCnSUMFq6Q3OEBe1BYU1KmMb2b7yKk3GV8bp1TBRVqc+cYLFwh66wd2nuo85R0Y4nOlTeYeOqTiEptT7JTZXIOrGFw+zLlMAp0ECpTJ6nOnsGr1Pboz1rr9Dzj1VtO1zM72k2m1eVQK/TokgCtLp0n+/YVwtb0vsanCiKC+tj+OQX3uwG5c27+ALRpPzLGJ9hhPeQqYXMcv97CGk3R23Q6cdZirUZnCXrQdxNaVMWr1p3EUnx0u9GfFNiyJLt6bd8kluzqtdHvu7KMhUB6TpjZ9AdOu3PHw5XfGIYUpdz2fL33/uj94vbukI8ZDCjXdldhKVdXKYfVjGxRkF9zRHY11sKfnSF+8y3KtXWqzzzt+I31GnpwMPfTFIb2pb3Zf9vXBOIddw+WvnuwfMTSd7Z5Rt3rHbjeQXjSheSHHre8t0H70gZCDbmlOzxx/YXhGDtgURHDe2a1G6dbfDqdDpxSgx86sv2QtO4rBZ7vvg/jxMn9esuVQktjwpYLkx0pDloRjzJL50HPcQTnvn45Z/GmwA8Fw6RThIAk/nCyxw+LoDpGdXzehSSFBCFJO0sI6RHWJxzfTSqC6jheWEUqj7izTBF3huG0ByM/elGFytT8SMZuC1sevzLpuxDpQQuwNZiyIGuvIj1/l/EphMAbloD0ag1sT2N+jEsZWyxlmVCWydAo2/px74IdJZRJJZg4ESEU6NJSZIZay+f8x5vksSZPNLq8x7iWkmjqBNXpvYlepsgo+p2RlubDwpQZ3atvEjYnqZ+6CIhdxq4KI2onzjvNbOUdKvMdAGtI15fQeUbj7FOu7rm324iKJk/gVRtDTUtDeZDxKRS1uXM0H/uYa2eHMbYVhYmXbzJYukrWfrjqeQdfztHPH2Xco3fzPVoXnsNatxG487twerv3EfXaUjjYyYG1djhcP9i576NjfFpL1l5H1ZrUG+OY3JXHSlcXRvwVgDLuk64vbScl1Vuunvs+0gQ/NXiAxdubnEC1WiTvvucqDh30cH0AD50ZxAxe/SHeWAv/iQn0YEC5vkGxtn7/O7r9YMHea6I/6KMH8Jv2FZ6/yyny9hrrP/zGSBLF6pJu3AUhhwtJ19W7NluLmN1OUJJiZPwKpYbe0ZIyHnwgO9aPIhpNydwpn8//JzXe+F7GtUs5jZZkdakk7n8ASYijMnpiRGE4EgxrYSs/wpgSXeQk3VWUHxLWx91mREiKtEcet10xDiHIky5xZ8lFiO4TKqrhN8aJJud2hUfBeUrSzWXy3lbZv4Ovz5Q5g4UrznGwi5O3fZ7G6SfpXn2D/ADB+UPjCNUjBAKlAmqt00xOPkW9MY8allSN41WSeI3Fxe9jbI4fGh7/9BjVlocXSvobzoCK6goViHsaniqqUZmaJ2xN7VtxL1lfpHP5R+ijUm8xhry3Sbq5Qrq2RDgxs/s7FxIZhIRjU+TjMySrtw59Kp0nmM2C9Te+Se3EOcaf2J0xjpCosMrsp3+F9qVX2Xj7u3vWG69So3n+WRpnnnQ17e+gc7gk5HU23v0u6drD6VU+aug8JV1fGEZ102GuwDaECpzE092odEIgw4jKqbNUTp4lmJod0jYs+doq+cYKvXffGNLsPpg15EiMz//uv/vv+NKXvsSlS5cIgoBPfvKT/L2/9/d45plnRsf89b/+1/nn//yf7/rcJz/5Sb785S8fRRcA0Ekfkzv9SVWtY7UmWb41SkQCnFEa9wjGJlGVGkJ56Cx2XLk7IPzAZRwPuUjOExWOHjpVqeE3xpy73rpdrSmG2Y07HwYhnIiy2qolLof6oi7sJYb1jE2eg3W6WVvcvz3lvYYSDEg14sF5tSZymMCztbvz6i3XJ+O4JrbMD8f5uQO2KDBpMhT1frQSL1ZrdMcJ+G5J9pg4eTjD88cE1uhdmyRgVz14V5999w7/XsvlT5Vs2ENicsZjalaRxu6uRhXJxJTHoG/2RPsPDTHcKEg58jR4401sUaL7w+9+KKMgPG9UmedBTl5mA9LeOlJ5WOPoG6bMwBqy/gaFHzuh+ixx84I1SKko0/4DGZ4g8Otjjt60n/SLMRTdDTem79V/Y1ypzXSnkbpTdikgHJ9B3rrPzNo7OZzKaRXashzdf7RB+B6yVsXEqXu2HkZgHkAI6vUT+NZHSo8s6468T9aUeF5Eo3GKJF1F6zadtZw81XihZLBZYLTjn6aDe/dD+iHh+AxqP48eTmUg3Vw+gsztHTAancUUgw7h+O5Nwpan14tqrnz12kM8NNbx2NO12yg/oJi/gIpquzP5pSIcmyYanyOamCPbXBldq/QCvGqL2onz+PWxXeNza3NfDDr0Fy5T9NpHZ6A/Kgw50jpL0Hm21/iU0tWOv4vnUyiPyskzBONTThEoSUa2qvA9vEaLyqlzpIu30IMPJip8JMbn17/+df7KX/krvPjii1hr+Yf/8B/yG7/xG3znO99hfHxbePjzn/88v/VbvzX6Owj2am0dGtaS9zaJ0oHLCm5NOnHjzdVdi7BOY4rOBv5TL+JV6gilKPs9isEd0gPD8l5+vTU0HD0XFqq1kIGbBMPxmaGUzWA4yRduws1TTJaO2hFKETTHUVF1ZLyqqIoXVRzvSggqs6fxqnXXTlE4b1dnHZ2l2xPIMOsvGJtGBoETAvYCgtYEMohc1ZRhmLU674j6tijQWUzZ71Cm8UN7JHWni+7cj5zLBwBjMIMB+WDw4Zz/GB9ZPPZkwPScx2uvpJS5pVoTzJ326HW1s1WOYH8jPFeDnCAYGZ/BY6cw3T72+uK21qS1yEYV4Sn0Zm+omXt/C3naWyXt7Q0hGl3QXb708BcxuhhBZeokYWuK/UL1Rpckq7f3zqv7wOiCZPUW5bmnR/bKTqeNCiJqc2dpv/eDe/dLCqc/u0O3U0Qhwvcw/QF4TtPYpimqWSc4e4ri5iK6P8CUD5dsIoVidvbjFIMOSbLO+vp7lKXjEY6NnaNaneLE/EssL73G2voGb31tA6UEQkFvvcA8QPTFi6rUT17YI2IOOLrDoEeycutojU+2OLyr1ObPA3s3HUF9nLA1DbzDw2ZxDRavYbSmMnOG2vxjQ4PKDQwhJUFjnNqJc1hdsPLqV9HDa/VqTaLJOcYef3Ff3qMpc9K1BdZe+yPKuHe0lKFHiDLpUcZd/Hpr1+tCSqTynObyATtnGUWMffJn0YM+ZWeTwTuvY8oSIQTVM4/hN8cY//TPsf613yf5cTY+v/jFL+76+7d+67c4c+YM3/72t/nVX/3V0ethGDI7O3sUp9wX5aBHGfexunAuZGtI7yASux3hypC8vK0RqpOdBo3zVDYvPs/Y0y9uZ2EK4byMw51U48LHqJ2+4LxSQ1mLzjs/IFm+Rbxw1bWkFF61wcQnPkdl9tQuL6rfGHP9lJKJ5z/jNNKGbZVxj/abr5As3SDvOEqA9EO8Wp2Zn/kVvFpzeA1OosiruRq+auiVnfljf2LojbVka4v0rrxJ/8b7e7xrxzjGMYbGpYDJGUWROcmsqRmPW9eKI3OsB+fm8abHsaWmWB7ynI1BNmuET5x1hRoQyEqErIbYUpNs9o4kE/uoIYSgOnuaaHz/+dzqknj5xsEySbsOtk6SqbdJ1lklbE6C2M7cdhJjU/j1Mac/mBy8+ZTVKsHZk05v2FhkOHRwbMnKVSJEJXQ8diGdhJh62NrnWxCEYZO0u8Lq6hsURYK1bmC129dI0w4Tk0+iVAAWkl45MrKd1xO8QFLm5p50OxmEROOzewXlh06YMum5iN8RG1YmTykG7QPb9WoNgub4ncphh0beWWP11T9E+iHV2dNOPnHHziQcm0WFVfoLV8k2VygGbcaf/CS1E+eHUcbdGyNrNOtvfpvB0jXKpP8TTUsyRXFXbq0QTgbJ7pNRJ4RAhRHxtUv03/mR0/Tc8pr3u0Sz80yeOrdLs1kFFbywSuvkU0jlNtCD9VvkcZu08+AKBx8I57Pf72OMYWxsbNfr3/rWt7h48SKtVovPfvaz/N2/+3eZnt7L8TksbFlQDrokSzcRyiPfXEUn8W6tqyKnHPRIVxdQYcVlBd5xzHaDw7D1jpJ1eXtt73Fbhxu9pRy235t3tFWg15cOvpgtLcQ97bh+YbbKcLmQenqHUWl2hGjtsHzaMT58KAXKE1RrAj8QBIH7XyrwlGCn2syQvkdZWnRpKUtIEkuRW9LEUN4lwfwnHZ4HfiCIKoKoIvF88H2BUoIhc8VhqNxkjEWXUBSWsrTkmR1mrUOe3fsmdTc1lZogjASe576Afk+TJkd3g2W9ijfexOQFuuMyooXvOY3SMEBEzlASQeBE0EcKAj9uX/IwmtMY35dvuFUysOi375v6sUU7KfodgsbELl+qkBIVhHjVBl6lcVfjU3gK1agjw3CU7CGUcq+36q5YRuAjG3WwriDD/crM3RMCpPKx1pLn/VFyEUBRxCgVIqWHVAohh7xwCUIKlCfwQ0l9IqC7mpEnd7E+hXSh5WHkbhesdTSyPPtAEkaMdjzig+R15LBKkkAcyajVeUa6sUS6sYQXVanMVB3ffZRlHyI9j8rU/DDcrKhMzbvyn3ck0ugic+UzV27uCtP/pGJL1/muOGhsW0flMllK2e/tuhdWa8okHlL+tj+iggpBbQzpBUO9YElQG8NacyjjU7Tb7SOf2f6L/+K/4PLly/zhH/4havhw/Jt/82+oVCqcPXuWGzdu8A/+wT/AGMMf/uEfEob7c3nef//9fV8/xjGOcYxjHOMYxzjGjycef/zxu75/5Mbn3/k7f4cvfvGL/N7v/R7nzp078LjFxUWee+45fvu3f5svfOEL+x5zp+f0pwpSoqquqpBAUPa6js80DNPLMMSvN131njynWF8ZUgMkr3zzG7z8uc9hy3JYetElq6io4o7P0ntyP5UH5y76/IX/vOm8cfsc895bOa98PWHhZklxSGUNKaFaE/zSn6rx7CfunlDQaRu+87WEK+8VrK88XLjk2U+E/PIXakSRGEUWfuMXf49/+x//JADf+2bKG69mLN4qHzpx/8Qpj+k5xfMvhZw45TE+pZiaVlRqkmpNUK1JfF/gh0Pv51ChxRiXaJilliwzZKmls2kY9A2dTcP1ywVLCyWvfz9ldUkz6H84HrLvfve7/OX/6mf5mV+oMD27N4R5+0bJ1UsF3/mj5EBPopTQHJOcfzzgsSd8nn4+ZGxc0ppQtMYlYbR1n0Ap4eoQDCMDZWkph5WIkth5PftdQ6+riQeW5YWS997KuXap4L23cvZzeMzOe1Sqjooj5faY2FzX+461J58N+K3/3xxBIJBq79OR55a4b/gbf2WFN191iXnRM4/hTbbIby5j+jHf+t3/wGf/0z/tIhN5iYwCRBTiTY8hAx+bFwy+/47zgB4Q+xcCPvkzEWcv+DzxTHBPJ96ld3NuXy/5xn9MDu01D1qTVCbnOfnz/yl+tbHHuxKv3CRZucXtr/3OA3mXwvEZosl5Tn3+z+2rXzhYvEq8fIOFb3yJ777yHT71qU/tOUYEPmqsiQgC5wVsd5G1CiIMXbnfIa1JKAlKIXwfvb7pkifvI+Howm/8dWonzruEzx3XXaYxetAn/f6riNLiqYg03RxVNwrDJlL65EWfUtykFItIKWhMBEycDEkHmmrD48zHGnztXy6w8N7B3t1o8gSN008y/7N71007TKbJuxtOb/MO/M7/5W/yZ37zv73ndR4EFVbwohrV2TP7JpptVfS59j//9pGGtFUQEbQmmX7xl1zd+R3lN+0wQckM8xv8emuX9Jc1hiLu0rn8Ou33XyVZ3YcLO6yw57zk3ihhp+i2EVLyyje/yadefvkDUXE5LGZe+uPU5s/TOPPUHZXBXIT3vX/1fyPvro+u1WuNM/bxlwEQnkdl3tVmN3lG2WmPPPV+c2xYbVCy/o0/GNWBb516hvr0GVbffwWdp1hrmH36Z9FZwsq73+TOCE17VGBmfxxp2P1v/+2/zRe/+EW+9KUv3dXwBDhx4gTz8/NcuXLlKLvw4UKM/gHs9qRs7O5Y6pBv6l4ffuaOlUAMjU85DAvpNEF6HiIIMUWOCiO8MafxZbIU3eu6wbMVjqjUMGXuwkC6xOSuPbfQZdh7pPBKCdOzil/9M3U8n30X2K9/Oeb6lYKVJX3oEoRSQb0peelnIv7EF/aG8HZi6XZJe1Oztry/QXDf55Rw5jGfX/0zdWoNF8oFYBV+7S+4KhjxwHL9SsHSAnCI+UZK8HxBpSo4d9Hn7AWfn/+VKifP+IxPOgPtXoaClIAHQSho4Kyhk2e2clIsV94ruHGlIBkYoECsaOK++VDmx1PnfD7/J6s89sTeJMI3X8uo1hNe/U66r/Hp+xBWJCfP+nzsEyEvvhzyiZcjwkjeq0w84IzRreDJ2O7iK+jS0t40RJWYLIXL7xTofQKCjZbEDwTv/CjDWvB8+NgnomF/j2YRNUmKbkvym0uj0qP5jd3UG9msoVo1jLXYokQo6Z7VfeB5UK1Lnvl4yMc/FfHyz0VIuf+xurRkmSWsDBM2HiIZ2YtqhGPTLuS7T9/KuEveW3/gE5RbpTiHWfh3Zut6tSZ+c2J/8ewhbF5QruzWDTaDR8Nztxh6vdvU/AkmJh4nCOuYoYJAGDQxpmDt5tv49R5hTeJHitq4T3MmRG0WhBWF8sQ95wUVVvdkOG9hKxEnaIxTP3lh32Mmn3n5oa7zbnC0giPWFsbJC+W9NoOFK/jDROAtYX1XVjIYUhF2Fymw1lV+yzvrpOuLxCs390oHSYmMImQYIT1vaIj6CKkcF3I43oSUR6fbOSxVuZX/sU0RENs2gRDbTp/RoBCj/1QQPdC9VmFE9ez2mBBC4rcmUFFEOd4bUSm8Wh1T5mTLi7ueYVd/Ph/pA28p8bhNxoNPJkdmfP7mb/4mv/M7v8OXvvQlnnjiiXsev76+zuLi4geagPQoITwFvocIfLe7LjWqXsVqg+70kZUQhMAMEmQ1QoQ+pjsATyECH9PbnYkupMKrOWPMWovXGiecmSOam2fjG19Bp+nwvB7Ka1B7/GnSxZvo2HHJqo897iripKkbHFojwggd9ynbG/dcGIoc+l3LrRsFs/MetfreGbHRkpw97/PuGznJ4HArWVSRPPGxkNb4vUn/UUXw+NMBr3//8BJPQsDYpGJsQtJo7T/LW+sq29y4cvhkk/EJxZPPBXzhL9V5+rmQsQmJ5wnuR/f3fiAEnH/cGbWf+XyFt36Uc+ntnP/xv+/Q6zgv6Y8LKlXBxJQ6MK/j6edDnnwu4H/7X7VoNJyXUx3RzCQVjE86w7Is7FbBw10QEk6f96nUJO+/mWOMJYokL36mwntvZizdLrhLEZX7Rn59kZFL+wCY7oD4+29vv6D3P1YI1+c/9581+PTnKpw45d3VaFlZ0nzzKzH/9p/3uXYpf6gNStCcpH768f0lloB0Y4V46cYuzuP9QCd9Mq0pes7bdGe1o6AxjtUlfq15QAsfLqw1dLs36WSXWFl9g2plCqV8LJYk2aDIY4qiD22LkBY/VCy8P+Cdb0BZGIJIMT4fsn77bjxZ4XiOd1aU+jGBUGovD/WIoNMBG2992407qajNntmVmLYfrCkpBl0Wv/XvnZb3Pt5YVW/QeP5FvGoNEMSX38NajUBQe/xpzFbC8pFxgwVBfQxVqePXmoStKVRYQUV1lB8gPN+p13g+Qimk9LYjnsMiEUIpp3ZzZ0nVuyDfXGf59//tnr44DMNIOx1oxlC0t/XP+2s3SHtrTJx5zikACUl38X3yweGKGBzJFP83/+bf5F/+y3/JP/tn/4yxsTGWl5cBqNVq1Ot1+v0+/+gf/SO+8IUvMDs7y40bN/j7f//vMz09za/92q8dRRc+dKiJFt5Ey4W1ewP0RgfZrCF8H396AlmvgIBytT2qZe1NjiMrLtSWvnkZE2+Hw611ZGBZqaECR+JWFSccK6MKMghR1ZpLLDLGheQ9Hxm6HbFQntPkzLPh32q0s7rfWqx5blld1oxPKmr7OCWjimByxu3WDwvfh7mTHtXavdvwA8HcvEelcvjzCQHjk4p6Y1trcSeMsXTbhsHAuESVB7ThqnXB2Lji5365ymNP+lx4MhiGjY/I6mRrvhAueUm5RJxTZz3CUPBrf77OW69lvP9OTnvj3lmzjwJBKKg3hrq0O1CtCS4+FfCZz1d48tmAsXGFH7DtiT5CdDa1o1DcsfZUqoKZeY8zFwKaY5KXf76CseB5gjx3SUtH5kk295k8dIDBuQUh4OOfCnni2YCPfTxkbEKNkqTuhLWW998uuPR2zje/krC6dHiKDLh5xavUCZqTBy581dkzzsty4twDez+F8oalkfcatmKYaBMekGH/4wBrDVqXCJGS5z2k9Fzp5zIHDFIGGFNgtKbIjaN4KJflLpUgjw1mvwIVOyCUS1r68cXRP79bsLokXrmJkJJobAYZhE5W6ACk60skq7furudpLZQl5aAPWmPSBBmGyKgyCscD3FcYZh9IP0QFEeHYtEuai5w++NbrXqXu1m4vcNcipZNgVC6zUki5w0s6fG1L6eYBDGKrS8pu+4H6vlNbWioPz49QYRXlO2daZWwOIRVZ/8GL9ByJ8flP/+k/BeDXf/3Xd73+m7/5m/ztv/23UUrx1ltv8S/+xb+g0+kwOzvL5z73Of6H/+F/oNFoHEUXPnR4k2ME509is5xicRW90UU166hW3f3fdLv4or5Cud5GxwnRxdPIRhUZheTXbmPzHJsPjU9jKOMBQaWGDCtIz0P6AaYokGGEqlRQlSqm2xmJxwulRhqkWIuOB+gkRiiFqlSdJ+IBFoM8s6wslpx5bH8PR1SRTM4ovIcYRX4gmD/tUa3d+8H2A8HcSY/KfRx7EISEqWlFo7V/G7qEjTUXvi4fMBlSSBgbV5x/3OdP/8U6J056VOv339f9NgX3O7nMnvCYmlbMzXv8XqNPv28YdHPyggczoLeE0O/EPQyiuyEIBPXm7hC6lNAaV7z8cxU+98tVLj71wXlyytKysaa5dX2vJ7tSk5y9EHDqvM/EtCIIxIhHeu39nEHffFAFPg4FKSEI4OWfq/CxT4Q8+Wxw4BgxxnFh3/hByg+/l/GN//iwtasFyg/xqvVhfe/9z1s/eeHAkO/DQiiX2XwfRw7/f3QRAIGTt5FSApKyTIfUARdiVSpCKSiKAWWZYLRFKUEQKYKKQiq2Sxve7TzKQ8gDJl17oN7KjkN+fKIih0GycpMy6THx9KddwZd9jM+ta0xWb9G9/g5F3Ds4+19rp9VdFJg8R8d9pzgRhhitR95BIeUDjiZnLHqVBkGjRfPcM1SmTxK0pvFrzbvSRz4QGIOO7+AS7zRih/JYFjtS1NkJz4/wq03nnR3e88rECZCC7uJ7D9ydIzE+70UsrVQqe7RAP3KQwoXeRYisVZDNKt70OML30J0+5VrbSXtIiYhClO+h+zG6O8AWJaaXYIsdq5zWlN0OejDY1isberxsnoMQpIu3wehte3JHNaTuj74/rJTkQvaVk9WhW92V1TJFfk/l7CQ2XHkv55kX9k8EqjclZ877+MHhd7phJHj8aZ/W+H0Yn77TYRyfVDRbkm7nwQ0iKeHkWY/J6f09B0VhuXqpoLP5YG17Hjz1XMjP/lKFX/mNGpPTHgdEJe+Krf2BHfb1QSI9WyHm/+Q/rfGpn434v/+fN7l5rWB54f6sJzVWI5gdp/bceWR1+zsvN/ts/PvvHJokWKkKJqYlasdX/PLPVXjmhZA/9581HmozcS9kmeXS2wUri/vLJrU3NK98LWZ1qSQIBTcuF44nBpS5JX8IL+FRQwh45oWAX/jVGp//k9UDx/AWLr9T8L1vJfzb/2+f1aWHl5URyqN28iJBa5oP0rt1N0g/oHHqYFqX8Hz8ehPhh64kZGfdhS+lQheZo0QZ417zPFQQUqYJWIPwfDcvGoNXazhDJE/vu7ygkB6PPfbLSC0J/ApaF/vSPJaXXmV9/W3G5kLmn6hx8ZNjrN1MKDM357z7nTb50gHUIsGo73fHXc3P+7qew8BuVej7AGF0gc5TyqTvIoDBQYmqliLukfc2uNs16ySm//abw4+46kFlv0e2cGuXoW7S+6+EJP2QsDXF2MUXqJ284DRqhwVmtjieHy4EMgionL1A9cxjRPOnHY8TyJYXyFaX6L7xg13lNcPWDPWpM6y88010kY2+58NKVn10arsDnorwvQpROEZvsEipH13ZLFtqbJpRbnZdVZK8oFzZAKUwgwSK0mVZet4o49KVhjTYQmOLfcroGYM1+YGPzZ3lFnd9NNu+dpPGFJ1NhPJcGN7cnwe0yC3rK/pAncQwFMOQ3z2b2hdCupDs5IwiqtzbABFC4HlQb0haE5Je1zywPSSE63PtAI+kLt01J/H9T6BhKGi0JC99JuKpZ0Om5zxcLsbBodA0sQx6hl7XsLFmyHOXpV3k2wlDnu80J8NIUKtLanV3r8JQ7BvGF8JxJZtjCj8QvPSZiLAi6LZT0tTeMwSvahHB/AS6n6AH6Wi+1r271+a+F7xAUK268GIQOi/oMy+EPPOCC3XfeZ+sdVnrWWrp9wxx31AU23qnxjjDXHkuWaw61OesVCWNlsTzhns1ISgLWLhZHDhWjIY0dtnxnu+y2929hHpLorTlCOieDw2l4OLTAc+8EPL0CyHjkwc/M7p0yXJv/yjjh9/NWFsuiQ/Jyd4JISXh2BRepfZA4b6jxFZxDhhSi+5Y+IRULlI09MwErQmXJGKtC6MajdUak2cujFhtIKPqKBHUlgXWGLxqg3LQeaDSiwJBEDYpkwGDwQpa5/san0URu4QR5ZJMdGHobxRksRt7W0boYWCtIW+vUST/f/b+PEyy7DzvA3/n3C32iNy32qurel/R3SBAgCBBQKS4iSJF2ZyxFo9oa6jFtOzR2PTYep7RjG3R4tharKG1PJKpETm2RdKWhqtBAAIBAo1u9IKu7q6uvSqrKvfIjD3uds6ZP05k5Ba5Vja6G8SLp1GZkRF3i3PP/c73fe/7DnDtA+BT1K69ceTt7wedxiSt+nuaXfXyZYLKKDLI7J4B7sEvDZMdmd7Q9Rx0XD0S7paXtGbHnX+Qc+qVzPNTZ8kMT5KbPI1fGeupN4id9816ptpotEoxPUttrRQYhdFmg9jTEzU2PQForziE4wVWV/WQ96NwXTJTJy2zXUqStdVNBGmNk82RnTlFtDiP6rStK6O7nvEUdpHRu/eOqmrwbRV8ZjIVyoUTTIw8xdXbv02rs4eI+zFjPfDsvHEVEjtou2tXBr95M/P9WwDVbtFttw79uSg03LuT0u2Y/mSyeZBn84IxxwY6Qh5e09h1IZcTTJ1w8byN7W6fuLbfWCNjDtMnXO7Ppgwwb9gTQsDElLNrptUGKymt5sG/m1JFcuKMx0/9+RLlITmw/27LClpBbVVz42rM1bdjXv1qyOqKYnVF0W7pPrklmxdks4KxSZfT5zzOXvD42PdlGR138IONfWy/Pq4rKBQlP/XnS4z9boc7NxIW5/bv9XMrBbIXZqj+q6+RVBuQHk8GIwgExZLEcQWliuT8RZ/v28aM33x9jLatD4tzKbeuJdy+boPHVlPTadvr43mQzUlyBcnJ09aXffqkx8NP+BSKVpTeGBvQX3krZnVl74HiuGz53hwHTpz2WKsqFu69v2LUQtig/Yd+ssBjT/s8+dxOpvPG5TPEseELv93hjZdDvvHV41uAC8chN34Sv1A5tm0eFtJxCCqjADiZHGm7yeaFkXAcnCBrS+COQzA6Zfv9wi5+ZQS0QqcxnflZhOfjV0ZwckWElOg4si5zBmSQIVw0fXe5Ax+f9Gm3bjA7+wd7ZgCFsC3ArdWY+1daXHu5RqdxsHFmxcUHj2etUhp3LtO8e5Xm7Ls73/Bf/hyz//u/ONB+PqjITZyiePJhgtLorqS3dX5D8eTD+KURGrPvoqNOv0XtvYJ0fbxckdFnPkVmZBIvVxq4uN72AiZNSbtNO1ajLmnYQidxXwrJBqRpb3GkMCql/NAzZIbGCYYnD3+cfkD56RdJ202StSrNq++g0xghBPlzD+MPjVB+9ruovfwVojjBy5YQjocxmqA4ghPn0ImdW1QSHYl09G0VfL6fSBaqpKt1DtQo+CHpuQl7wWe7J9+zvUVFSkt2GRlzqC4p1qqHC1Ymp12mT3ob2pY9KAVpYl0spGMDjc0Ym3A4edbj1a+Fh1ZBktLqbq7LHW1HkhhmbyQ0avtPUkJYSZ5PfjbLJz+TswHWHpVQpeCt1yOuX4754u90aNRsQNVsaNLEkCRmS4Uv6rkZdbsJS/Mpl16L+IPPdTh51uPp5wO++9M5hsccPM8MXPlms4Knng/49/5ahX/839WYu7uTcLMZOk5I62288QoyG6A7NhtgUkW6enR/XyFslnJ80rY7/Pj/ocjEtLuF+Z8mcPNawrtvRrx7KeLGVSsh1e0aoq4hVdbBSGubwRXS6nE6Dlx6VeB5Aj8jKFck5SGHcxd9Hn7CBrdvvRbtKc0lJEyf8shkJTevxBgDfiB58iMZbl6NWV5IB2qDfisgBDz3XRme/WjAd386S2V471L7Gy9HXHot4n//V61D3497Hofj4gRZMmMzA12N3g/kJ8/QuP3OVneWNCFt1fGHxpB+xv7erBE3axit8AolvEIZN1vAyeTwikOoqItKYlTU7TGMe9UpfTjCoTGGev02npfnscf+bZKkhR5ww61UL1Ov3SSNNX7WYex0lsKw3ycavfOVVdbmdim7G6vhuFvVSyBsJuy45CI+QBCuR3ZkmtLpR6y25QFIV06QJSiPMvbkJ2jeu0r7/o337vgcl8L0OYYf+y6yo9N2ETQoI2k03eoCcX3ZujetzKPiEJ1EGxbbPbkxtOlzNfq9mD3Xs+zk6SMrPwgp8coVwvm7NK9cQnU6vcWSoH3zCmpyhty5R3AyebxMkfzoSVw/g4pD/MIQvi73F1dxu/ZHK/iU0sORHr63MRH6bgFH7iQuuE4Gx/FxnY2MgUGjVGxt0LCacq4TIHufj+L6pi0IW873y7TDlb5w8GaYKLYixt9G0AraLU23Y6V7srmtN5IQAikNxZIkX5CHftiVhiSVYdmzlNzYdhwZOm2NEAI/EFuyomAlnoZHnUO3zYheqatUkWRzu2Q+e+SUg9gquq4l+px9yOehR3w8nx06i+vrjDgyzN1NuXIp5p1vRrz9ekQc782ktraRNhC3UlaahTkrtg9WJSCKPE6esYrrm6/hegl+ZNTh0ad8pk+6dNqG1eXdgzCTKnQ3xinmEJ6L7tk96ih5wODTLiLOXvCYmHY5/7C3ZSzVVhW1Nc3bb9jr8s43I+7eSg6wjtv5Hbke/X7gODZ4rmB5Yfc2CteDfFEyNulSKEqmTnoYY3uRc0X5QP3MDwrXteL3Fx+z2c7xSXdLxnsdxtgxsrSouPpOzKXXIubvPxirfTukF+BmClbjb1u2yRiDSRPbixcek6amlLbEni1uCzI2zt8vj+7onTNao6IQ1Ws7Mkqhoq7NHqkUo1RPbcSWDVXYIW03UUmMjkPcXBFHuhvZqSMIokrp4Xk5jEnROt0xSqXoMeATTRJpklDjBZs8tPdRezAq3b3UKazF52EkeAZtZIOuZQb8RfRsogUCgdsLI1KSvr30hr2mQSB7WzL9LRsMLp41UGFwb+zWHUscP0N2/CRBZWxL0NX/rnoW1lbZxV5P6bjgZ8hNnCLpCeCrqHv8CSAhbDvA0Di58ZO4QW7LuDW9gDHttlHdNp3FWaK1RcLqPOHKnO2hPOQKd71F5KjHK1yrAZ62W1vIRarbQYVhT2i+V2LXCpXGSK3QSdS/5o4XHHmh86ENPnOZEQq5CU5NfQwQaJ3Q6iwi5c40/FDpDOXCSUYqF7B67jbwXGvcYnb+JZSKcJ0sI5XzFHKTgOTG3c9hejVdx/EZG36Ucyc/zZtXfpVme/49b6r+IMAYy/6uLqk+631HwCfsA3JlSXHvzuFunplTLifP7vy+aquKu7dTpIDhUYdiaeuCYmzSsccie/S8A8J1rej7yLizq8ZnHBnu3UnoHiD4LFYcfvinCjz5kYDRAc4+6zAaluYV/+j/VePdt2LmH6CMazTMzabM3025fT3hqY8E/JWfH8LzxcCsa64gyOY9vv+H8oyOh/z2r+/unKJDG2R6w0U2s4NUo0N0e/GBJmzPhT/3l8p4vtjS8mAMvPSlLq+9FPI7v9Fa71g5MtIEVlc0qyshr3+9F4Ds0eJcrjg8+XyGp1/MMDLuMHPa7bHd4fa1mEZNvS9ZTyGgPCT5Mz9b5slnA849vDt7zRhYW1X8i39Y55uvhNy8cvxdqpnKGNnxU/2er+0Ia0tEtSXqN97iOAgtjp/BzRUZffITu2Z3CtPnqL711S29efZh2rDleEH/ixfSwc3k0HFIZ75GXK9ilKK7MLtlm9npMziZLGAQrmPJmQcMVoSUjIw8QqN6m5s3/3eSpNN/hmxGknTBQNhWLN7s0FjeukpoVPdaNRhUEqF3vVGEFUzfXi46IAQCiYODXdCmrA/+XrCBi8QhJkTi4hNQpIxBU2cNTYrBIHHRKAwajwwahSLBxbOBNwlFKjh4NFglJUHvYebg+BkyQ+NMvPAZHD874LJoVByRdpq9XsiNZ4ZwXAonL6JVgk4i6rfessSyY4SQLkMPf4T81FncgePVEpnqNy/RvPUOzXtX33dveWO0Jd1lc5YFvx5QBlmcIGOvadQmaq4QNVfIVCbw80M0569jdAoIihPn0Opo882HMvgUwqFSOkOleIq5pddI0i5KxVSKJwn8nTddu7tMokLqrbs9HVXBcPksAJXSKWqNOygd0Wjfp1Q4SSYo40gPpexqrZCbxHECWu0F0nQj6t+M7PhJMmPT5CZO0Z67Re3db+w8cOng5UuUzjxGZnSK+o1LxLUV4sZWRw7heriZnGXJFYdwM3kcP9NfgaTdNmmnQbS6RHdlDr1LU7xwHMtOLQ4RVMasDJMQ6CQmrq8QN2u0Zq/agbTH5LpaVSwtqIGSSwLbg7lfOXAQxiddJmfcHY+yVtMwfy/t691uF22pjDhMTJs9S9yDUChJxqfcXmZhcPBZXVYkyf4uapmsYHTM4aOfzNoS8q5pWMM3vhZy5a2Yy5eiQ7Pod4MxMH8vRUr4X3+1yXd/X27w9yNsgP70CwEG+PLvd+i2zcCsou5GJCt1/JlRnHwGIQXR/Sqq8WCEI3sgtjdWyo2m++qy4ku/1+brXw5tuRvI5AR+IHE9geParPfqcopSBt8XpKkthbq+RCmDTg1eIFApJJEmyFo5lCQyTJ7yCTKChbuxLd0nO8+h1dS8+2YEAnJ5yezN2JY2DbQamsbat15nSQh4/rszPPy4z7MvZhgeHaznt16B+/ofdLnyVsxrXwup7pHZfhB4pWGyY9NsOLFsRXf5Ht2le3QW7xzL/oTj4ng+lfNP2/Kls/Me80sjuJkciUoHPMi3lsyN0USrS705VO+aMYrXVlDtJkiJjkJMEh180WUM3W4Vo1PyhUniuNkru2/7fGcFpUK8wKE06jN2Omv7erMOlcmANz63zMrs7r26KmyTRoMzzEJK/MIQTrDTnvQg8MlQEkO9PKVBmRSFwmDwhd//PSvyGDQpKS4+AkEJCE0Hg6EsRklMSEzUD2hd4eIRoNFEdPCxQf5BppbSmcfITZ3B8bO9rO6msWAMzdkrRPUq4eoCo099gkxlrG+Buj5usiNTCOHQrc4TN9d2fW4eHgLpuD1y0ejA+0NFIfXr36Q1e4Xuyv1j6T1dF5s/CnQc07ryFm6hzOgnP0u8VrVZY8ArD4OA5jvfJG1sVIC9TIFMaZTW4o0+v8PLldFpfKQKwYcw+BQ40iOXGSafHefWvS8SxQ2UTshnR/G8/I5PJGkXpVPavYlACEExP4kQDrnMCI3WHGkS0g1rgMF1AlwnwBiFNppcZgRHerTDFZQeLJzolYbIT52lcvFZjNYDg08hJE4mT37mPMUzjxCtLtny0Lbg083k8MsjFE48ZCfYXBEnyPYYZoq00+wHrFFteeBNJL0AJ5MlN3mazNA4mZGp3opeoJOIcHWRqLZMVF0gDdt73ojNmqZWVYPHlrDs6mLp8HI5lWGH4VFnRxzY7eh+j94gPc5cXlKu2JJoHJkDuxBl84LKiGQvpYvamkap/SfEQlEyOmE1PQeVQsH2JyoFV9+OefPVkIX7xxsYNOua+7MpX/+DLg894jM54+L5g1n26+SZ4VGHpVTZIG7HARtMqvpqCMb0VBwO4Hm9H4QQZHrmAMZYq8fqkj32y5dilhcU2YIkk5NksgLPt9+vH0ji2AaOQVagEntcXkaiEst+9zOSNDHEoaBQcTAa2g3F6KRLJidZW05JEzXQpSgKDQv3UxwXgoykupQShXZ/Ugo7Fo4Cw5Hi9XU1h8eeCnjmxYATZ9wdZdj1xW+SQLth2xW++Y2Q2ZvJe9ZO7uVL+OWdD9b1Y4lqK4TVBZLm4Xu/doNwHNJuy8rUDCjtrfdtqjhE7ZdFMoa0s3/riOq2UN3DkzPBlpLjuIk2KUFQQgjZs9fc+qXEUaNXHgc3kGSLtv85X/GYeTjPla/tfQ1VFPZIKHrAYkDgZvPIngj44QMCj7wooUjRRqOFIu1lMwMyRKKLMV2y5Huvd5BIJA4+GbSwUUmRMl3hIpCI3nZ9Mr3gU9m2IFyU2ed7kxLp+eQmTpGfPLNjEWK0RqcJncVZwuo83eV7lM48ipct4GzrTfbyFaSfxS+PolVKfEzBp5AS4Xn45RHc7E7dcmM0Og5p3btOtzpP0q4P2MpR9uscub3CqITu/TvkH3qUzNRJZDbfk1QSeKUKSaNO891LqO5GpUy6tvVGukF/SHuZPCpeXwx8mwefUjpkM0MAxEmTMG6gVAQI6q17aDTZzMiWz+SyoxRyE4yULwBWhyyTGSJO2jTb8/3BbIyi2Z5D65Thynkarft0wlWGy+eI4ibV1Suk6kGFmvfHyJPfTW76LEF5lNb9GzTvXrWaZq5nyw9jM9ZyM1vcdfAVTz9C+eIz5KfOkrTrNGevkLTspOYVhiicvEB++iyZ0WnW3nmZ+h7yGwtziru30l3nsakTDnN3D3cTCAEnTg8uu9fXNLeuJ2hlBjofeZ4tJ5886zJ/N2V15WDZxKFhyakBD/PNuHsrOdA99PzHMzz9QgY/ELsaX3Q7hsX7KV/5fIe33zi6JeheaNY1r3wl5LGnA4KM4Ilng4GBteNagteP/lSR3/71Fjev7YzE/KlhCs9fpPb7r6FqbYw2lL/3KYIzE7Tfuv1AQvPb8epXQy69ZoXPlbJs7qc+lkcAShni0PT66g1PfyyH69mFRq5gWfNhV+N5AtcThB2N6wuyOYfhcYc4NNy7FRNkJFH3YMesNQyNSv6tvzDCa1/rcuPdmPKQw+Jcyr3bRykrGXSfHHAwCGFbUX76Z0p85GNZpk66u44tpeD29Zhf/cdN3ng5ZHlh9/vzgdDrDQsq4+TGT7DTH9bY8vXyfbor949110ZrOot3QUgKJx7aeWiOS2H6PG3p0lm4faz7PhIMqDTC9MqQ/oBECEDXXQEDnXpKt9li/pp9wI+eylIY8kgTjXR2lxdNWjWSVg0VdXaSi4TAzZXwckUbmIedw41BbGXQwUWg0WhyFBA4RLQJTYcOTTKmgBQOAblez2ZMQkxABhcfjSImJKTDEGMYDBFd2rQQgGNcpJDA3s8NvzhM+aGnKZy8SFAe3Xkt2g2itSXWrrxK3KqB1qy+8zLR2hJjz37f1jdL2zc68cJnadx+h8VXPndgDde94OZKBENjuEF+IPtehV3ixir122/vKY94WEgvQHo7lS8OApOmdO/eIlpeoP76S/ijEzaLagzxypLt++y2t4yddeJTefoRdBqhVUxQHCFu1w4vdcOHMPhcvz3WG5i3X5zNvZgCieMEFPNTFHITVOvX0TrBGM1w+dym9248rTvdKiAo5qeIkzZR3MJzc0Rxg060OpC9eLynJ/GKFdxsgbA6T2fhNt2l++gksiss1yOqrdjG+rC9U4eu97TKjEySGZ6gPX+LaHWR9txN22gNOMEiCEFmZJKgMkowNI5fGbWyIgMGUWNNUV1RA4MyIWwGs1Q5eObT82wJPFewPt7b0WlrlhcUKjV9cs3WfVp9x/Epl0ZNHzj4zBUkI2POFrHz7Vhd3iXDu+UArK/22QteX09yEGpVxTe+GrK2oh64l3EvKAXX3onJ5mzGbHvAsn58+aLk0ad9vvIF6za0o/IoBMKR1izBdSBJEZ6D8ByOo48Peq47qeHSaxGXXo365X9toNPUlIYcikMOs9ciXE9QHnL6Jfisa/VNpSv6DPr1hYQxEIWalQWDVsYqMfigtWB7Zn0Qpk64TEx73L2dEHYN2bxkdNLtEd8O3+6qNSTxwT8nBDz7YsDFx62WZ2VkF8kubVAaXv6KLbVfeSuyfanv0bQkHJdMT6dwkKaijqNeINS1Vr/HCWOI6su4uQIwIPiUkmBogvgYs60PAoOm3phFdfcmXYWhzXwFeYfisMfwTAaM/b2xEpOE+9vi6jQmbq7ZgGxT8Ll+rzvZPJnhSTqLs4cKeDSa1CR0aKFIUaQ4eAgjSImJCdFo2jQQRvRJRMZSeEmIkMKhg0tkQhJi6liRd0WK7hGVpBA4xhK7FGmPwLQVbq5IZniC4okLVltWbu4Vtz2U4eoCjdvv2DaE3rM5XFtEOA7R2iJevowTZPvXxgBeoUx2ZIriyYt0Fm73n4tHhfQ83CBnjWYGPAvSbpOkVeu1hhzPPCqkY20ugwH9rweFMegosi0A6xl0A2m7iUl3tuJFzRWrAepnQAik49FavkPSPRoZ9UMYfMJ6n4gwDKifbmb8SnwvTzE3RSE/wY27nydNQ8DgeTk8N8v2J1MnWsVgmBp7hk5YpdNdwXV8jNGEUe09Pi/RW7kWcYIMjVtzdBdn7er/gE+x9UxoMDyBXxph5fU/6Pdjbd+XjroUZh4iqIwRDI2TNGuYAdmtek2zuqJ6PWY7ZX0qw5JS5eCZTz8QDI855PICfxObeL2E12kblhdT0thQX9MDNUYdByan3ENpMOYLktFxa2O3G6rLas/pQQiQLpw443LmoQEErE3nsVpVfP3LXWpr+rjmnF1x7XKM0vCn/3wRxx0cEOcKkouPWy9wzxdE4baD0jaL5eQymFSj48QGonBsx696ou5vvWaZ7f1dK0O9mlKsSAolh3ZDkytIsnnHBsnK4AdWGUEKkI6w/aPSsoPDrhWj77Y1UtJXM5CSA5XAp096jE25XH4zIk0M2axgdMJhddkG6ocN7rS25LWDJATWLTNf/GSWJ54NuPDYTsvM9TGVphB2NV/5fJfLb0bcGpDBPk5IxyMzPImT2frwX4eKQ8K1Rdu28x6QMKP6Ml6+DOyce4SQZIYnCavzx77fo8AYTb1+50DlfSEgyDmMnsxy/vkyGIg6ipV7IXG4v3mG7duvbgmuNsPLFsmOzlgm9SGDz8iENFkjZvdqTZtBAvY9bDv2iAHB3b7zicAvDZMZmeplvbfNZ8ag45BwZY76zTeteUoPcW0ZtKa7fB/huEjfZgfX+z+9bJHM8CSlM48R1ZZtAucBygbS8XCCzCaNgK1IOk3idv0gJ30wCIlwXNxMDvdBgk9pxblNHJGs7lOZE4KoWSVurVGcOId0fYR0aC3dIo2PpnDxoQs+tU7pRmsgBL5fJOMViQClEor5afLZTal5IXAcvyerFPVYWQYpPSqFUyCg3V3Zsv0k6SCFg1IJhewErpOh3rr7LRKsN6AVabuBLo1QOvcERqUI16czd7vHMNsb0rFpf784hE4i2nO3dhCawPaKCsfFGI1XqJAbP0n73o2BDLzlRUW+kJIkBscVOwKuyrDD0LAkl7cBzX4P6kJJ8vDj/k4/dwPd0FBfVSzN2TLi2oqivqb7wuHrcD3BuYdtpuqgqAxLTpz19i6739677J4vSE6dc5mYcnf1hwcIu4alBcU3X4kO5ZZ0VCwvKFw3Ye5uyui4Q7G8M8J2HMgXBBce8VlbUbz5arRlzo3uLZM2O+SfPEOukEW4DuGNeZKVuk1NHgOW5lNe/WrI0nxKtMk5S6Vw/1bE4r0YxxNEHYOQcPd67xiFnSsfeiJLvii59HKHmbM+49Mel77eJgrXNVLXt2mlpoyBsKP3JZApZRACxqdc4sggsD/fv73TD/4gUKl1adqvU0EIeORJnz/2Y3k++dkcI+O7r4ySGF7/ulUF+MZXQ+oH0KJ9UDh+hsKJi/0AcDvSTpPm7JUHzh7thnBlHjeTRyeRLWmKTddHSjKj0/jLd3GCHCp+DyR03iMYA81qzI1Gyuxbzd5rtof5IA5HabdFc/ZdguGJgWoAwdA4ZfkUjZuXerJTB7suEV2qzKMOraB8fBCOg/QyjD/7fWRGpxlUutBJxOKrn6ezeIe009qx8EnadRZe+T0mPvIZHD+Dk9naAuEXhxm6+Bzh6gKdxTsDkjOHOV53o8d2AEySbAmOHxRuJk92bAYnk9spvn1ASD+g+MSzRAv3rU33HgtH6fqUJh+iW18kaq2htSJpVolaqxTGTqPTmNby4YmGH7rgEwxKJXSjNYKwRKV0miTtkqoI1w22rD6MMaRpSJJ20TplqHwWbRQCuaNEv3n7Wqd0wiqem6OYm2StcYso3mOld8xYX7Flx0+QGZ7srXLypKHVCIubq5h0F623ns6k9AKEdCmeukjabbN98nEyObxCGSEk0nX7TPhBSBNrddhsaKSUfeIIrJfArSh3qeKwtqL2JWkEgRioWaiNJTd12rpfjg1Dw9qqIpO1/X3943es2HxuF5vMHeixmSvDzo771RiboXKgl2nd49gz1pEpmxO7B7HGylOtLlt9yffYVAPoZRS7hrnZlCAjBgafduUPI+OOZei/tjX41FEC9TbJch3dDsF10FF8bIEnWHb5zatJzzVr69/SxI41xAbhK4nN5niSlfmEVl3SritWF61ofrOuSOON99h/7IdM///2xuKc1WPM5iWZ3j10/3bSt9s8LLS2hgX7xUKPPOHzxLMBjz4VMDTskBlgm6qVNSC49GrEm69GXLsc06jrY9XxHAghEJ5HUBmx88MmrOsWqqhrSY9HlFvZDzpNUFGXpFXv+WNvHdfSdXGDHH5xiHAtft/law4Do61CQ3IEO02dRIRri6iwbZ1pHG9LVlh6AV6hTFAZxxhD0qod7JgwqD0kj74VcHMlsiPT+OVR3GxhRxUg7baImzW6K/dJWvWBgZPRiqTdoLtyHzdboHjq4V6/st2WcByktPqfxmjC1cXd7Tf3hdlbelGInizg8cDJ5MiNn7Re8Ue0uRWOSzA21WOz733OQjr4+Qpxp24zx5kCRiXoNMHNFCzb/Qj4EAaflhhUa9wmTUNOTX3Mrhh1xFrjDnqTrpoxKd1olTCqkQ2GOHvie9Fa9TVB9S6ZRKUT1ho3mRx9ikr5DLMLL9END2ez9iCo33jT9qsUh8hNn6V07gnSbotwZZ7O4iy1K6+SdpoDsw19cd0gg/QDpr7nx/ffoXSQrr9r8Kk1RJFhaU7huYLMgEx/kBFMzrh0WnpLRmsQsnnJqXPeliAWbAC1MJfSrG/cyN2OZm5WMTzibNmv4wpmTnuUD9hrKmVPamnS3VF2N8aKy3uwpxMO2MzhQ4/4ewa9xsCtazH3jpg1OyriyPDONyOKZcn0yd11/qZOuJw65+78upVGdyLar2+4gGQuTCOLD1Da6WG9bFxf1Vx6LaTd2mOyNrv/fP/WxkS3dD9h6f52/2X7j3R6Pa0HfJa8/XrE3GzKxz+TI1uQaGX4yufa1FePlgFSyvag6l0C9/Vr/8d/ssCjTwY8+ZFgx3s2Su3We/5/+eUmt67G3L39rQmwhHRw/CyZ0el+RWULtCYN23SW7x0rkWILjEZFXTrL9yj4Ac6mIHjdQtHNlciOnyBuru7Pev82gYq6dBfvEjdWCcqjuNsy044fIF2rbylc78DB5wcB2ZFpRh7/GH5p2PYX9tBXVlhborM4u3c/qzGYJLZE23aTwsx5EP6OOa909gm8fJnm7cukYftI49gohUmSXQNX6bqIXWxADw8rZl8+9yRO5uhOY8J1rXf70ty+AbeQDkFxhG59CSEk2cokGENb3MPPV3byTg6ID2XwCZYYFMUNWm1bDjdo0jTqZeL8LcHi8upl1hq3kMKerjF6i2RSnGyX1rDZzzhpE4ZrRFGNJD0G5w6BXQHts1pJO006ccT9L/4aQWUMvzRMbvosXq5I5eJzFE48RHf5HrWrrxFWFwam9I1SqG6L1cvf2FfPLO00Sdr1PW+8JDHM3koolm2/5nZksoKZUw5zs4JN0mADkS9Izj/s73AZUsraedY2aWF2Wpo7N2IuPLr15nWkzXxWhm3v6KBMWv+9LoxPOpTKW0v364hCqyt6YWj/3r5sXnLmIY9cbvfv0Bi4eydlcX5jY/m84KmnPUplQT4vGBqSzN1X3LmtuHtXMTEpeeEFH8eFZtPwxusJk5OSfF4yN5eSz0uKBUGrbWg0DCvLmnp9a1Y1SQy3rid9W8ndMDnjUq/5tpSd8e1/+QCZDXDyGZxiFtFjZQVnJjBxSvfywfuOd4NKLTv/7q0UoyCXFRRyknbXZroLeUHg2z7gfE7SamuWVtSWAC6XtRamna7B82zWvdWyzPdsRtLpaooFyeMP+9yaTVitKeqN/Y+7WJZWZP6Uh+sLVGo4ccYHrK/8oc9VGcKOGUimFQKe/ah9qO5lmWlJVIYv/36Hl77U5a3XQlrNb11ZOTM8QXY98BzAcu+uzBGtLdt54z0sd6uwQ3vuBtmRKRjgK+8VyuSnz9O88+57Vv7/IMIYTev+dYxWDD/2UXaUp4Wk8tDTeIUKKuzQrc69dwcjBEI6thp3xLEgpEOxZ52ZmzpjEyKbYLQi7bSo336bxq23D5TljptrmDSldv0NsmMnyY5Ob/m74/kEQ+NMvPBZVt/5uuVXHLI3U8UhSac5UP8bwCsOE0Rdew8NMB04MISg8tAz5KfP4VfGdvW1PxCMQUchaGPb7/a4lkJI/PwQ+dFTOF6GoDjalxHLlMaJW0dLzH1og0+lY5SOiZPdHVvWESetAQHm7hBIPDeL1ilhVEPpeH9HI7Pxw16hpXDcfVPwRimU6lrP4ahD0q4jHAc9NE5QEQSVUcsEXVsmbqxtDT7Xb4CeN2x36a4tu+8xIegk2tCN2+09ylBdUbs6/3geDA07uPvYETqO9RwfHpE7bDONsgzxTnvjOKLI9ITft+1XCGuBmBcUSpIwVLve11JCecghkxM77C/BlnZXVxQM7Xno9jx9G3zvZbtosOX71qagxfNgYkKSy1nLUNe1AShAnBjGxx3GJxy0NgSB4dw5h9FRh0zGak0Wi5JiUdDuGBxHsbK8cw2jFKzu8R2to1iSVIZ6RBqJZWk6EicX4I2WwRH99hUnl0E78VFk3Hag29V0Opp2SzM24hD0XJnyeQcpBSNDDkrZPsl8VuB7whJ3EntP+b33CwFDZdv2ICV0i5pMICkVJMurKYW8ZGrCZamqaLYOlv6sjNiFTK2qbNbUwPCYQ231aA8Lo+242n7bOY51BHuot5gaHXcHKj4oZVtdbl6NefdSzDtvxNTXvjUtHOvw8mW8QsUSHLYPNmOIm2ukncZ73mep04S4Xu3Z+lm29GY4QRa/PGKzS0eRJvgQI6qt4PhZ60vvBdZOchO8QoXMUJfc5JmN8ugxXCPhesher6OTyYExti0s7Byp9UFI6yaVHT9FMDSBm9kQyV8P6kyaEFbnidaWiBurBzoHkyakYYvO4ixOkCMojyJcb0N8Xji4QdZyHu7fJGnVD63DqdMY1WPbDyLkOkEWN1vAyxVJww7mCGVq6Wdws3lyE6csAdDfWSk5DIzRpO0m0vPwRydQnZZ9/m+7puvuXiru2sSen0GnEQaD42Xtuf9RKru/13Acj7GhR+hGNZbXrqAOQPSh5z7EOgN/gJaNkA5uroBw985MbUbSrJE0a3Tmb/ct5058+k9bZ4JnP2Ubrtsb/ajrN6pWCsf16S7dI26u7m/Zs99xxDB7I+HhxwcfeyYrmTnt7iilb0ehaPsuRyd3ZnuUMty9nVLbVOpstwy3rye7eq0PjTicOe9RW9XEu/Sauq7gxGmX0i4EobBruHMj5aMX9jx0wAbOJ05b8fLdYIwl1qyubEQKjisYGZUsLCiWlzRvv5Xy8U/4fP/3B5w85RBFhrVVzcKColCQ/MmfyLK6amg2NZmsh+NYAfJJzwY1tVqy4ytVqc3gtvbJ1FWGJWMTLp4v0FGKShQ6sp7u7kiJ9hvX0R27oBG+C4544MDTGFi4n7KyZGWBXnw2Q7EguXYz4fGHfU5Ou0xPurxzLebtK7YXtVJ2ePSiR7WmcR3BzKTD7dmUKDZ810cyhJEhjAxDZUmpKBkZcnjrSkwUGYIAfG/vsbgZjz+boViW/Mt/VidJDJms5M/9lSHaLc3Vt6JD3z5KQbdrdpTd80XJT/25Ek+/YB8euz1Doq5h7l7K3/l/rDJ3N2V1+VtPAMmMzpAbPznwb8YY2gu3CVffeyKmirt0FiyL3Ci1w0vazRas93w2T9ppHLt14gcZnYXbpJ0WxVMXyYxM4xe3raCFIDM6zeTwJLWr44AlkOg0Obo6gZT4pWGCyhi58VOUTj9CGnZYefMrdJZmtzyPDgo3W8CvjDLy+EdxMwP0UY0haTdYfOVzxI2VQwW4OolZvfwyYF2xgqHxLWNIuD6Z0RlK557AyeRYeesPD/W8TLvWG13HkdVd3ZaRdIIsQXmU8rknad2/fnh1BiHJjZ+kdPZxhh5+/sHklXowSULn1nUykzMULj5O+9Y1m4Datrrt3LqKarWo3nqjH1Sv3bnU/3vt7tuk0f4JwEH4EAafx5CCGQDHCSjkJijlp8gEFRCCbrhKvTk7mNizDTqJUd229bX1A/zSCElzdcuXKV2P3MQZvNxOF4SDQKcxabdF1KgiXJegMrZDZH79pkzbdYLyCPmZc8gln3DlwUouaS+waTcH35R+YHs+g13cfsDG5JMnXEYnnMEWZMoSP7b3fN6fTYm39ZGuf7xUkcyccrn0esRuyiCuK5iYdikUBweMUWi4P7t/r4/j2vMsFCXuHnJNGFirahr1ndcq7NqyehzbkqyUloCVptDqGJIEqlXFF74QMzpqM6Xr52qMnRPX/9sOraFR03TadvueN1hySUiB40FlyGFtTVs2fpQQz1XR3Zhkpd53Nepeu28ldh4wU2IMdNumL+8UJ4ZmS3PzTsLosCQIBCtrijv3UlaqmvNnPILAZjrPnPQQQDfUzC+lNJqah856dENDN7LZxXpTc6/HoHddQb5Xnt8LriesYUF+w/Vq6qRHHBk8H5S27OOjnLpS1sVp8/P94uM+Dz3i8cInMoxOOJDu/H7Wy/Wf/+02b78Rc+92Sqe96QCssCwysFGrSVPWT9TEMcJ17e9pYst8jnVfEY6DcF1UvY6JD9DXJqXVAK6M7fiT1VhURNV5m4F6r2EMWqVEjSp+bYnMyPSOtwjpkBmeRKcp4X5i90Lgl0aQrmcrUY6DEA6y9zOy93PPQUa6Hkgrb+MVhwYyjKXr4fW86FXUwSiFVpYUarTCqNTaem56TaeJzTbp1Faw1NHaF9KwRfWtlxh65HmbiQyyW2wljTEIKclPnwNg+hM/RtxYJe00ieor6DTGpAl6neUpRK9C5+B4Pk6QtcF9roCTyfeyeCXLIs/m8fJljN6Z8TsohOOSn3mI0umHcbzMgBYPaM/forN0l7i+gkoO32O4blggxEuMP/8ZRDbff3auH3du/CTSD2jdv07Sqtts5oE2bsdne/EOWTVNZmRq6/n1MoaVi8/h5ot0Fkdoz92ymfxBQbQQOF4Gr1jBy5fJz5wnqIyRGZpAelaGzfQduwxurnT4ay8lbqkMwup6Ork8MpPZMf6E56O1oltb2LVbUB+xz/pDEnzas3ZxAYEi6b+2IU67OSg9fIAqhYPvFcjnxskEFbrhKmHcsLJOB4BOItKwDdrg+FmCyhg6DnurcIOQrnVCqIztsXKxfTOyx2LTffad2ZRRdTBpsjFot53meqCctJsYrciOTmNU2hO53eQz3CulCcdDJ7EtyeyxElapLX/b3sqdupueLxgadbbodg7CyJhDeWjn5GKMlWhaqyq6m8ruSWRYq6qejaYVD9+833xBMjrh7ikcLx0YHnXIZAe/KY4NK4v7LzBcV/QsHweLCW9Gu6kHSiwliQ1K1KbWqCSxgbd0bNwQRXD9WoqULq5rj9kqN4CUYlfyuTHWVSmKDGlsg7BBhylET3apKGk1NV1tMNqQNjrobmxZ7+sWjiv1gfqOR0EUGcteB9ptTUfAyqpiuaoIAkmro1he0dQaCm08lDIkMZRLNrCuNzSra4paw/aChlEv+NQ2UAxDTSEvyeUkmcAy5/eSOvI828M7NGrL/gbByLhDEhukY/s+1RFb2HSv7K6NfZYGgeDcBY8nnws4c96zyg3LOz8XR4bF+ZRvfiPi9a+HO9UXpET6PjJn5xCTpjYlDhjXQQQBwnMxYdjTA7RBJ66L9D1Uqw3sE3xKiXR9vFwRd8BC2SiFTmKSVt3Oed8KGE3SahA31wY+3NcDyqTTPEDwKQmGxm1Q5fo2CO0FWsL1ENK1D3nH6ZeWhXQQrmfFzgcu6Oy8XTh5cVMwF9trlSZolVhiShrboFSl6MSy83WakIZdTKSPVLK2kno3yY7N4JdHyXi+DZZ7Qdz68a47BJXPP020tkjcXMPJ5tFRF5VE6DjuSU3Lflnd8bO9oDOHVxzCK1Tw8jbwFJuCxCNbRkqJmy2QHZ0mP31up31mz1K6W52zWdXwaNanGEPcqGJUytCjL/Z1MjfDK1YQjkMwPGlb36IuB40jjFaE1Xmb5RyeALY+I4TrkZs4idEp0vFIOy1U2LGBtNm6uBTSwc0WyAxNEFTGKJ97Ejdb6B/v+sLFSihawt1RocIuKtynT9po0vBoQvJ74QMdfFrHWA/R+9+YM4ODy4qaQwrrJ9o29Z63rIsmxXZsShLiga4JuyFJO6ysvUt17Wq/J8Ycojk4qi2j05TRZz9FduIUU+URaldes6UirclOnMQrVgjKo33R2x3nG2QIyqOMPP0JvHyJzvxt0m6r14+pcLNFvGKF0kNPoZOIxp13d6zO1iev1uwV3GyOoUefp3DqIvnpc4TVeXRirUjdXAE3WyR/4jy1d1+ldvUN0m5z1ydtktAjAymS2LrHbEYmKzh5xiOzBxFHSDh7wWPm1M5G6XXx7Ll7WzOfSULPxUhRr2mGhrcGQsNjDg890nuY7zJRuJ7g1Fl3YNALNmA7iFh3qSx3zZ5uhsESpcLO/hOX1vCHfxgzNib57B8LWFzQrK1pbt1M6XY0y0uG4RFJo2Fotw2nTzvsp9oRR5p2WxNkd0/9OY5geFTSWBM0avY1t5jDG68Q3l7AxHYcOdkA4Toky0d8uKzDQLet+5nPr35jI3vx6psRr78VIcRGVnd+oWW14Q39hYVS1uHTGPidz7c3lppi419jNrpe0nRvAlmh5DA+7fLY0wHSgTQ2nLvo97fbapgja7Su63xqZcfNi5/I8qP/VpGnng9w9ph1795O+Tv/91VuXY+pre6U/XIrZfyTMxilEZ6HUy71mbYym0Hmcwg/QNXqmDjGxDFpvWEXnr1+tP1GpZvJkxs7iZsr7ihxAyTtGmF1gTQ6Wn/fUdFdvodwHEqnH935RyHIT57BpAnN2+/svhHp4HgBUx/74Z12jduCyr5sn9h4Zdf0T28hv9GmYPr/mB0Zgq2/G62583v/nO7yvQMJ1O9Arydv9Z2v07p/gxPf+6dw86VdBcidIEtu4jS58VOUzz25cbybczeb+2p757we5A/S3Twq3GyBiec/Q27qLF5hZ9O9irpEa4vUrr3eIwMdHSrqopOY6qU/pHDiPEMPP7/tHQI3U2Dqu/441UtfZfXy1w+skWqUYvXKN9BakZs8jeNnB4wVQX7yLLmJ04w8/jFUHNo+2V5fpV3AZJCe31vkyF4wuiERBRA3azTvXqF27Q3cTI7TP/hnOex3osMuq1/9wv7n9YDtenvhAx18FsUwAtG37VLG2kC5wkMgEQjKYgQXD0e4JCbqmW4aWqZOSrzzxt8DxmgbsB4l05HEpJ0G9WvfxC+PWob65BmMSvpkJRV2WJv/BqUzj5EZnhiwEWVT8UlsJQ3GT9rPattPKqQE6RCuzBE3qrRmr/U0PHeiuzIHwmZGpO/jl4ZtFsPojaZoIUjbDVTY7Wmc7X2OKjW0m5q1qmJ0wtlS1rQuLbYknS/KgeV5AYxNugyNDiirNDVrVY1KdrrCGANrq4paVe0IPgtFyfiUO9CKcB2OAyPjLrltfZrr2dYo1NY+dB94gdgRdG+H1tbeUW0rjXc7htdfS6j2yvHGwK1bKb//OViYVzQbmi983ro7haGhuqLxPJttzeUFUWSIY1hcUKxW954QVLpNH3MAhLDZuM2OiTIX4E1UiOZWMIkNKtyxMjLwCe9a15AH6XixGV67gc1B4aA2gs2V4UHhTbrP13UQTkWnpVleSLm8x7y9sni04Mo6HGlGxh2mA5fv/cEcM6fcHSS77cgXBI8/51NdSVkbIPNk0hTdDXEqZWQQIFwrmWW0wSQputkC2cHEKTqOMVGI7nYRUiKLBfYsEfTg+BkyI1M24zfQLrBFuDr/LdfUTNo14np+1wei38vMWfbupirPdghrxvFAbOHtm9y8Atq5uz1htLZVqAcM6lTUJW5UWb38MtmxE+QmTuIXhmwrwfZjXQ8o9/FWfy/hF4cJhifIjp/EyxW3ZTyN1epsrlG//qbV8zwGa2ujNZ2lu0g/IDdxGq9Q6Y8DIQRGCpuJHT9BqdO07kkHkl+ymrfhyhy1a2/0spU7S/sIgUBaUelNTkXrlU3Ry8JL19tx7xmj6S7P0V25R+PW28T1FdDDpN02jp859Hje3t/5rcYHOvgsySEUisREpCYhxQZyDm7/SyxSwRM+Lh6R6KKM9aONTAeNQg18dB0/jEpJu21qV18nP3UW5+xjZEYmbObAGDqLsyTNJdbe/jperoRXrPQISnYitYNU2hJMt4WbL5IZnuo1MLuglF0pddu07lymu3yfxp13d70ho9UFotoyIGxJY+YcmZEpOzFrhQrbVqNv/g5Ju967wfZ+WhsDrYamuqwYGXNgS/ApkL7NJhVLuwSfwkoeDY3snPBaTZvd3G2htbZi/372wtYbLF+QjE067EV0dV3ByJhDNj/gQZrYDNVBWM3rweBeMMYGVlpt7RXsdAyvvbp1Ert1U3Hrpt3vMnD7luq3kz3IglOpnq/4Hu8RwgbTfaF8VyILGfyJIZxsAIk9Lm+8gswGCEdidK8F5AgwQKr2d786LhykVN5uWeb90tzxzxFG28zr5IzL+JTD9/yx7J7OWuso9rKk716KmbuXkmzrYzZJimq1cMfHEJmeMYSRduHa7mASW+oVfmCdVbohutVGZgIbrB6ghUIGWTKjNvjcsu913dFOk251/lv+8EradRw/s2vQ6xUqeIUy0vPRJjpQr/63E3Qao1sJq5e/TrFdR7qubS0g2JE9exBskRQyplcaT3ts6YNvxxKWTpIdnRk4LnUcEdWr1G68aUk9xwJDWJ3D8TN0q/M4Qa6f3bd9shLHz5AbO4GQDs17Vw/c07jOxjcqtf2jrtczZxjcpiVdF+nuHYL1r7XRaJXSWbhFa/4WzTuXAbtQTNvNjd7kw0LInfKPptda9x5mPeEDHnwaDC4uKQkJMYmJUEhCOmQp4BMQExGZLgZtnYtQpCR2dWvEt9arwWjClTmitSVqV1+zAWWvGrzeaK7ikMWXf4/l176IinoZRyGYfPiTZEsT5CoTzL75u1Tf/EO7Yt1c5uhlLU2a2Btix+Qqtv6sDc2bb9G8fRnxxpf6aXywPX4Y03cqOGgWo7qsuH0j4fzD3hbHoXWMTUimTjjWMWbTRCSlDXZOnLEP4+1YnFfcvBrvGpzcn00ZGXP4yMe2vu75ljAyOWNtEVdXtt4w+YLoec/LHY5KAHOzKQv30gMtql1X4OwTfKrUMpWPys85jvs9TWz/417HIMSGdBGOJP/4abIXT5B/8izuUKHf96maXZJqA5McXb/vjyIyOUvA+9QP5BgedfZdtKyjUJQ89ZGAH/u3Cpy94PHr/7y5NUvc7aKjiLS6hlMqEpw5RXTnLqrRYEeD6+aHiBQkyyv7k42kxMsVKcw8NLg33Wjixirt+zfeM1ej3WDSlDTs0J6/PfgNUuL2jr09f+toJewPPWwGrnHrLVr3rlM48RDZ0WlKpx/FLw0f425Mj7C0TOvuVcK1JVpzNw7kdiMcS84aevSFnvj7gHvDGKpv/SHthTsk7caefISjoFudY+Gl3+HEp36S7NjMjlY4vzSCky1QufAsnaXZA283DduopZB7f/Ab5MZOWLH88sgWsfxDoXedW/M3ac6+S+vuNVS40Wqnkoj2/E0K7sUdPax7QggrbXXiDNkTpwlGJ3vERUO8skRcXaL57iXbB/weLeI+0MFnWzf7/ZvaKGLRRSBJTIyki0b1y+wbwadGo0hNgn4PWPH7waw3k+8h7K7CDopNvZpC4vpZvEwBL1Oy2mR7rvRsgWZzmUYge6/Y13x8FAovcWz2+KDMvX3QbhlWl3fPUBZKktIAa8cgI6gMWfvAQaXHZl1TXVK7CvXWVtVAq0NrKmAYHnVYXVE7gs9cQVIqy54m5M791tZsL+lBIMQBSmjYGO39DtMOEif25/z1IHO5Tji7RDxX7fd8prUWab3zoQk8n/+oj9Zw+e2kR1J7f44jX5CcPucxMbWhsnAQRqqUVr/2zEM+WsEr50JWltRGH3QvtW6UQglBuryCbrYw3U3zzaASgKavYLAF29/bk7Rp3H57APkDMJrO4h3ravI+jAkdRzRn3wVg7co3dvw9bq5Zwe/dFtPGYFRK/dZbeLmjO8QcJ6z9Zf2A5d0DbdCSSJOYcGWuJ6GT9pQLPkN35b7VBHV9S6ySjs08rhOIetlMeqoGliyVWj3oJEYlEWm31bd67i7ft9WzJDrYmDAarRK6S/fQaYJcT9JseYuV8orr1WMPPMFmiZN2ncady0S1JeSAfiqjtHXNig7Bru+Nr7heBcC99RaZoQlLGMqXcLzAkrlcb+Oa90jFRusNMloc9nS+Q6LaIt2VObrL93scko37WCcR7XnLnO8Wyhuv9yqlu+mTC9cle/Is/tAI0vNJW42NVgzp4BbK5E6fp3t/FtV6b6zFP9DB55pZ3PJ7x2wEZInZRVfnjwBkr99VIDAYBMK2IrAehEKWAiEdigwRE1LfTYfokGjUFAv3d88UloecgQ5IhZKVRPKDwUHg6opi7m66a1C7NK9Ymlf9Bv4tTEJh/dZXVxSzN7c+dCrDktFJd2DUaAwsLyqqyweLUA4SVK736h9fS/7RcKj9a0N4c4FkpWGDz3sr/eDzwwQp4c/8hTxRZPi7v9CkuqLet+BzaGRwe8n2xdUgUWqAC4/6jI47vP3NiDdejmjWd2aUTLdLdOvO1hd7BIUDlcT7QttWuoXef92lu9xbejByx3sFFXVYefPLAMx+7lcPvwGj0UnM/B/+62M+sg8mwtUFwtUFGrffxi+NAv8BtetvEpRHcPMl/OKwteL0gr6FqjG6x9RPUVFI2mmQhh3iRpW4sWoDzsW7qN2kgvaB0Yq022T5m/+m98Lxne+BoTU6Dll+/YvvyeZV2KYbtukuzpIZnsIvDVM4cYGgPIpXKOPmSz2pL88GrFr1pRRV2CFcWySq2ta51txNjB7sO6/CDrVrr1O79vqhjk8GGSrPfQzVbpHW16zOp0oRQpA7dRa3NMTQ859AdX6P7h/F4PM7GATBMBM42BS5xEHi4BOwyiLdXkbVNh9Yxv9hSFf7YXVFc/d22ieObMfwiMPouLMjoVKuWFvK3ZyBlhdSbt/YKZy+jsW5hNEJiVK96sBmMqaEk2c8G5xuC7KHRx0mZwb4mPcwdzdl8YA9f2lqSVd7wXEhyOxOit0TQh7LKt/1BEF2sMzSOgz0tUYHQeYCghnLBtZxQnRn6YGP6zuw/bjVJUWaGk5l7e+7tX0VSlaQvlxugTHcvJqQ7jZUhcTJ5gimZvAqQzTf/qYlKW5jqxutEAhkJtMn7vhjE6hWg2Rtky6xEPt7zQ4+EN7/vP/h4QiXgjeCNhptUtppDbC1JFcGtp1Lf7jF65N2DYC1yy9vEFsctyfLtKnvz6wvkkyf7Gq06mfljEpRScSumm97YORckYlHh3jmp6zmqE4NrZWQt//1bW59dXGfT++GzRPdUcae6N0nvVY0rG6rdFx0mvQJW9IPLCu99zrG4GbzqDhGp9GuPVNRY6WnEDFvCYI9DVUpbb+lXm+B6wWhaG3ludIYk6a9AP947ykhJE6QoXP7Gs3Lb6LD7kZPd6NGMDlD9sSZHTrix4nvBJ8fFBxwbAnAJ8DF7WU914Wm3H5GFDayozY4PR6dRrCi77VVm1HS2uzIYuYKkkJp5/4yOcnImLND+FtrQ5pYtnujtnufYrdraLes9E0mJ/E27UIIGB6VFAfsN1+w/Z67BWL1Nbvfg0Clhv0W+lZDU+xrobrlM9JB9OQ1klYDo5ItgagQsl8GOwikA563N3fWGKtDvnm+FL6HW8qT+DVkxscbr4AU6HZINLt8LGXWTFYwOe30HZtyOUmjoUliQ7ki7XGlhnuzqh9ojYxKsjlBsSjtBI1tQ1qtamr7WE66LkxO2bKe1rAwt9Eyks0KsjnrPLXOd1DaGgQ0G5r4mGKN9Um9UbNKB1fejtHKcOpjVn4qm5cDe0JdF6ZPupx/xGdpQbEwp+i09OAAVIDwXGQmawWjfR8cByebt97rgHBcVKdtSZu5AqprxdCdbK6XCdp42OkkGVC+3yZFJESvEmFbnoSQuE5AqiK02YNt/gGDI3w8GZBxC8QqJO0FVYLeQ1p6aCOAD3fwuZ6lPLIm5zHAz7kUx7NMPz2CEII0VjTmOtz8ymHtIkX/f2AVcDSa1ER4wm4rNcmB5BaFY3U1+wRgKZGONWYwnVbfY97LlwGDEA4qjcDQ08GtD+x1ldImAlSaYJIEpbrrxQUcx+pFB1lJq6lQqVlvzQbsPOS6PV1nYRCyJx93XG3W69nWKLLWmpsmFWW0DUaV2rVsfxz4TvD5QcIBH+5OL6BMSXtyUoo2CoXCx954GXJoFDnyHOdDoFHTIFLCrqFQBLmtVWZ41LLPt0c+pbLk1LmdmU+VWhLTWlVv0ffcjjSx0jhzd1OmTrh4lY0oVko4ccZj9MrOO3N41GFyanDm0xiYP0Tms9vZcOjZDUJYK023Jxh/kOSRk80RjExSOPsItbdeJmnWEI7Xk78yyCCDjqM9+4g3w3UFQSD3rL0bbRcSabJxPv5YmcKz50nXWshcQPbhEwhXkq61aL95q6cVeaBD2BUnTjr8xJ/O9v3lH33C42tfjliY13zq+wNUamjUDf/P/6Lelxr61GcyPPq4xwsf9a3WpzK0mprf+lddfv93Qxr13Qle5Yrk3/kLeRxpv79/+PdbtHuOQSfPODz2hM+P/1S276/eaWt+638LeekPI+bn1LG1mykFb7wccenViF//lQauI/jjn7dEuumTLqXK4AyDlPBdn8ryyJMBN68m3LuTsDZIaqsn06LDLkm9hpMv4Y+NkTl5hmR12QZRhRKdW9fQnQ7u8Aj6/l3bz6U1bqmMWx7CxBFps0G4MLdt8w5SbGZMG1zpo41G6RjXCfCcLMXMBI3uAmHSsFWX9/DhdVwo+qNknAJZt0SqF0l0zxgEB0c4eDIg1e93I80hIDd6Nz8svdqHgUAixSYNcCEoeeMkOqSRLlPyRpE4NNIVEh2h96EdSz8gP33W9khqhRNk+25UadjuMdaheOYxhBCoKOz3XUo/Q2f+liVFbYKtgEkqow6NmiaNDZmsIIltH3q+KBmf8Zg+7fHuG11aDU23rclk7LzdaWmKFUmQlawupniBrWbVVtSx8H+MViRrVZu9LVZI6hsW3G6xjMxkSWpVzHtoVfuhCD6D/DBDM49Ztnga0W0skR+aIVMYxc3k+4r/ndocYXOFZvXOgJvOWlblKpPkKlNki+N927Q0bBF36jSWbhC11wbadwnp4LgB5ckL+PkhMvkRuzIyhjRs0l6bo9tYottYGlg69bIl/GyZyvQjeEEe6QboNCJqrxE2l5HSPdBEbTBUWeiTq9bpVmBQPQIWQINVUlKWmTtWuSljbAZwaT7F960jzGaUKg5Dw1YIffPZFIqSqRPujhJjHBlmbyW0drHt3P7eu7dTShWHUmXjdSFgdNyhMiTxPFseX//6SxWbcd3+6FCpdQKqraqBNpiD0G5pOp2N7Oxg9yBbdszkLXFkizXiLhDS6hImzRrS8/ErY2SnTqI6VoA47bbsZHfAecD3BJnc3mV3rQ3NuiaONx2fAKSk8NxDqFaH1mvXyJyZwCi90cx6DAsZIQRRaJi7p3jnrYSLj3g8NeHwz/9xi2df8HnyGZ9cXtBqWcmot78Zc/dOylf+TYjRkM0Jvuu7A4pFydPP+bz0lWhrltLYiuALHwuY6CkrvPlGwrUrCVFkehkJ+P4fyOI48Mv/uI1SBt8XnD3vMjHl8IM/kuVX/lmL6AFapY0xLC8o5u+nfPlzHa6/m7BwPyUODYm01/E3fqXJsy9m+P4fzmOno629zGAVHUoVyU/8mSLf+MMun/+tDlG4LeA2xi5QohDpe3gjIzi5PKgUHdkszTq5QfgeXqmMatTBaNxyBdVpk9ZW8YZHkHHMdmunQjBCxi9jjEEKm+X0XTv3JqqL51rnH6UT8pkRfDdHvbO/pe96tfc9VnUZCClcApml7E+QcQtgwJNZfBkSK4ecV6HgjaBMSojlGxS8YTyZwZUZXGF7JJvJCrEOUTpmJHMSR1gnvkayTKJCYm1boRxPMny2yMnnx5h64hiZ5z28+7t3ufvaCkp7yGwOJ1cgWpoHpRGuu9GfuX7RhUB6vnXM27Wf44OHvFsmIwu2dUh3e9fX4MsMFW+SQOZ6mfeDQliVh0IZDES1JdxcES9XIaot42YtMc2kMSpNUFHYs2V17bN+ABng3KMZimWHQkkydydBKcOjz2Zp1hWthqa+klIoSYplh9MXMzRripX5hIeeyJDJSRbvJmQL1nZYPQrZgiSbk3z5dxq06urBM6BC4uTyFB95ksLFx0kbNduGIwReqYzwA6TnU3nu46huu/+w00nM6kv/BnMMZaFjCT7/6//6v+YXfuEXtrw2Pj7O1atXATsJ/62/9bf45V/+ZWq1Gh/5yEf4xV/8RR59dIBTxaCDDPIUx85a2YEkREiXwuhpsqUJvGwJjEKnKa5v7dK6zaUdTC8hHYL8MPmhGYrj58gWJ5Cu7b1Iw1Y/6NQq7Xnybr4ZbeAa5Icpjp4hUxwjUxjtNR9q0m7LpumFQ9ypo9NoayApBJn8MNnyJJWpR/rHqeIuYXMZxwusXdkB+ys6DGLCbw0MQqxlVrqfld4RoJUtTQ6N6B3BZzYryBUErmd7WXrjmUxOMDwid2gdJql9QB/ESSZJ7HvD7s735guSfEESZAWqbVife3J5SbG8MwuYKlvCb7c1YXdzACZxetpsYDb8l40mjnrWlSm47u5exgLIZuWBg0+EXYmqbgfhBTieTzA6Sdqsk7abPWmNg2VeXBdc38oo7RZ8GmO/w07besmvQycK3Qlxh/KYXp+nU8pZndljTKAYY4giaDQM33wt5tHHPcYnJC+/FDM54/D8R60AvuvaTMFqVfdK8/bYi2XJU8/65IuSEyddHDeGTUG04woKRcFDFz0mpx1qa5o7t1LefbsnnO9BJiN49HGPRkPzW/9bl7BrMxOlss3GlsvrY/WIuqbGmiXcn0258nbMlz/XZWUppd3qba83Pl//ekgmI3jmxQwjY07fxGDzd+c4gkwWnn0xQ6upefPViMX7auvCwRir6xmFKM/DLZUxWqPaLVSnY3v3epaO6++31ps9wkNqySXeOltu20I48Arkg2G01jaLKhw8N48xikSFeG4OYxSdaBXfySGFe6C1ytioJBMIllc0cbK/OoGUkMvaizM+Klmu7i0pthcEAkd6+E4WT2ZIVNhbY9lr4PZK8YkKSbVdhQROgYxbwJMZnF7wqUyCVA6xkOS94X5QmpqYLrIffEpXUBjPcvK5US5+5sTRDnoPLF+tM//2GiqSyEwWt1whbdYxSiFdt+/dLv2g51Xv4GRzdpGbHpeO5nsPT2TJOiU02qrg0EEgcYWHJzNIXNLDEGx7JDTLQBeosNOTRtrqLqTCDiqOUHGImy30k08bTRq9n4Q1NamMOGTzkk7bjtHTFwPWllNWlxWtmsL1BH5GMDJuibhJZJg545MvOmCsQowXSDxfkM3b54kfrLd0PeiEbP3o/WIZt1AkLZZ6i02BUyiA1qTNOt7wCJ4Z6T9+dBwhpHMsj4Njy3xeuHCB3/zN3+z/7mxq7vu7f/fv8g/+wT/gH/yDf8CFCxf4b/6b/4Y/+Sf/JK+88grF4k7v4EEQQpApT+J6GSpTD1NfvEb1zuvE3QZ+rky2OMbwqafJVqYQjsfqnTeIu7a3RTo+fq7M+Y/+aaTrYbRi+dbLJHEbnSaUJ86TKYxy9vmfYO7yl6gvXKW5cpv1L9jxAipTjzLz+KcBiNo15q78G1QaIaVLefIi5cmLjJ75CLe+oejUFwgblqAhpIPj55h65FMUR0+TRC1q85dpr9msQK48SWn8PEF+2H6pBypTbZS+6PdzHnd5ZfM+tkJruHMjplQRnDq3VdjWcSGTtaX36rKi0zZkc1ZmaWzKZbuWcNQ1XHsnOlDfZdg1XLsc8/gzO2UxpGODktPnPG5eTej2rC2HRhzGJp0dgVizrrl9PdlRRveLFUYe/5hlACtF4/bbxK06abuO1vYYVhYVw6OSTHaX6E7AxLTbk4fa/7xUbFfSKmzjV4aRQdY62SQxOg6JVhYOJJjtODA24VAqyz2dmIyxbkMrS2n/OgFEtxdJFteQuQCTpKRrLbpX7luB+f0shQ6J1aq2PZurmuVFRRD0stEhtFsQBOD70O3AI497nL/g8tGPB0SRQQiYPuFw60ZKkpgd3+34hOQn/nTO2ofWDP/sH7aIo43zLBYlMycdZk46PDnscf68axOD2HHU6RhWlvRB4/2BSBPb1vBP/s4al16L+oHzdty7nfKVtMtaVfPv/UcVTpz2dsmow/iUwyc+nWNy2uXv/Zdr3L+ziaBnDDrsEkchrCyx5UZbJ4YI+gcR3p3tB5hxdRm3XMEbGiFanEN3drqmSeHiCB8tbIYvMYp2tIoQEildOvEaAI70oFeJkcJFm3TPvrv/6m8M8fyzPj/3n65x/UbC/fm9x1mpKPnxH7Z6hn//b4/w7/3cCo3G0eY+ZRJaySq1aAFPBoRpg3ZaI1I2k9ZO1kh1zHDmBK60pVe/F9w04yrdtIYxhrOl54h1SKS6KJMQqQ6J7jKaPUWkOrTqK0c6vqPAGINqt3EyOYQQ5M8/bGtj6YaDXfb0edxSCZnL4xbLdG9do339Cib+sCjI2PHl4uFJH9f4ZJ0iAkFsQhzhYA4R2qiwQ+PmWxtaekoTri32U/LRmn2W166/2d9/fvqcDVCNQTouMgjQ0YZHula2eJCmMHXSx/UEcWQTHd224s71COnAyfM+2ZzAD1yKJQcvEMSxRqX2swhNu2FYnjOEXUOzrqx73QNChV2qX/n9De3vzZPT7o9+Kwd1TOPk2IJP13WZmNhpGWmM4Zd+6Zf4D//D/5A/8Sf+BAC/9Eu/xIULF/i1X/s1/t1/99898D4c18cYTW3uMs3l2zbDmYS90vUKhdHTCGxAV3M3nr6Z4gi5yjRetkhnbY7m8i2aK7etVETP0jJXmSJbniJbHkermFb1jiUKCEl++CS5yiRukKd65w269QVaK7M2Oyql1bw7aSiOZSiNn8MY3Q8+XT9LYfQ0XraE1oqV26/Tqc0TdexknXQbhK1Vpi5+AjfIHWgVn8+OYowmSlqAQEqHwCsSxQ1SZVsGRE+zTQoX0SuTrZf2k7SDEI61LjVpnywgpX2vFA6um0FrRZQ0bCZ40wNEa3ragzsP1upu2qCv3bT+5iNjtvwwSGIpSQzz91I6rQNkPmPDwv2tAdP6PmE96HW5eysldgzZvA0QBzHsux3D0vzO8oV0faSfIa6vENerJO2G1a9bP4bIsLKYUih5ZAZbJyOElXgaRLwaBJMkKNpERlu3Ctcj8jybxYqjA/vrOg4MjTpksnJPTclOS9tJLNmqHywcicx4ZC/OoMOEUN1H5oL3pG9s3VJzXQN9/RR7HNu+/efQsOCZj/gUS4Lf/70uUWizui9+3KfZ0LvGh1pDoSBxXcPQsKC2Rn/crHu/dzuGW7WU3/nX3S2fjWNLbnvQSd4YiCLYa642BupriqvvxLz2UkiroXn0KZ9B5B4hbPn97AWPFz6RoTwkeeu17RZI65nVAUHcljL9pr8bg+50SLBj0SQ7qyWtsEqiQpRO+72cxihAbBDi2Jh3jFFos9EGtBsCX5DN2jnjIAoRxhjSnuLEzJSDcwxZILNu3kFP37K/PdMjdW7+NgSgSXXUY7+L3pzp4giX1ERok6KNohnbcvx+52O0IazH6H2UNPZD3ElAg5O1pDMnV+ipG4DwHVTLiu7LrA3eTRSRqlVLQnufrRYPg65qokxqNcBNRGxCaskCIFAmseQjow5MOAJ65fNNvw9i8m9KDMWNVVTUtZXTTnNn28K6cIAxLM+ldDua21dtT3mnZXvtl+dT3nql27PHtb3sQdaaoZSGrKSLSuH+7ZiwYwPXJNpZ4j8StCZtDpZQWn927Ka5fVw9MscWfN6+fZtHHnkE3/d5/vnn+Rt/429w5swZ7ty5w+LiIp/+9Kf7781ms3z84x/n61//+qGCT+m4pHFIdfZNuo1FknDDwUJIh/FzL+BnbRZ0XbMMIFMcozByCscL6DaWWLn9GlG33h9MYXOZOGwycvoZMsVRpOMyf+XLYGyJqTBykmxpHMf1qc9fobV6d8u+u7UF/IItqxdHzxB366z1/uZ4WYqjZ3CDHCoJWbnzOmnUQStb/uo2lnFWZhk78xyOv0s0swWCfHYUrVO0TjEYHOmTz471J3ygV/YSeI4t50vh4DoBWqconeAI6x2batGfOB3HQ0oXx/HJ+GWUjtE6JjadLQGQ0YblRetHPgiOKxgacVheUEipGR13KBR3loGNMb2AUh2oPB3HsDhvb+T1G2NzkJXJCsYnXVzf2kYWS7Jfvt2ObsewOG8zZ1uuruMghCBp1egs3+uJ+m6adCJ77tOndr91BFAZcgay7wfBqBSlUlTYeaAmCekIhsccsrm9n+LtlmX4q2Rr36DwXdxSntzFGVQnIl2u4xSzNut5zAo6xhgrMUIvAB2w7SAQ5AuCJ5/26LQNf+cXmkSRoVAQjE0MNisAG3d12gbXhWJRcOKUi1Ip3e7GxK21NUy4O5vy6/9T59h7Dg0H53u0W4Z2K+HVr4UkseHiYz7S2akkAba9JJsTvPjJLEEgePfNaHt75pGgoxC9h5h2J67SiasPtpNjgDEQ9rLYw8O7q1gcB9aVRNb1UNf1I4wxKJOgjeoF26JPfKFnQWswNGNLeNn7hMAoQ3OhSxI+WN9l1EwsWTuTRWZzyMBaLwJI10GF9vuVnmsrK2GI7hHM9pXx+AAh1C1CvbVNoLZPkH/cSJprJM21Xf+utUEpQ5oI5u/GVBfSHZbTq0spq0vpjkxjoSz5yPcUrLqKMty/HdNta1ulO6452Bh0d7vxjD2QzQvI9xKiVqs98Ol87nOfo9VqceHCBVZWVvjbf/tvc+3aNV566SWuXbvGD/zAD3Dp0iVOnjzZ/8xf/st/mfn5eX7jN35j1+1eu3btQQ/tO/gOvoPv4Dv4Dr6D7+A7+BbiwoULe/79WDKfn/3sZ7f8/vzzz/PMM8/wq7/6q7zwwgtH3u76Z/PDJ5l57PvIlqeIOzUu/5t/tGOpL4TDyWd+iFx5kkxxjOtf/Re0qtaT9cRTP8jwiceRbkBj8QaNxes79uVlClSmHyFXnkSlMW9/7u+TxjatfvGTf54gV0FIl6XrXyPu7kxXF0ZOkqtMUxg9xcqtb3Dntf8fKo0pjJzk9LM/CkIQtla58dL/tJMNLySnn/1RcpUpMsVRrn/1V2gu3xp4TQSSmYmP4Dg+Wqes1m9hjGaodAZjrC7Xv/6df8KP//DP4koP6QTESYtWZwHXzeI6Pp6bB6N75U0JWM2vdriC6GVIA78ICFIV0mjNESVNlIp619pKKv3QTxb4i/+XoV7JbCMFsbqi+I1/0eAPv9Dl1rWEn/6ZEs99NMMLn9jI7BpjbTovX4r5T/7i0qEW3n/5Pxni+34ox/RJd0t2aHEu5d1LMf/931qlUdM899EM//bPlHj6+Z2+ul/9Yodf+UcNLr8Z9bOur7zyCh/71KcJKuNkR6fxi0O07l8nqq/0+35Gxh2eeSHgz/5smYefGKxNp7Xh2jsxX/9yyP/wt9e+ZUzeoVHJX/lPh3js6YCzF3Zv+vzCb7f55isR//KXG1uOLfvICYovPkJ0dwndjTGJIjg9jkkUa7/9smW9D8Arr7zCf/FffR9/9mdLnLs4eL9pavj8b7epr6SEjZSlRUV1RXP1cspP/ts5Zk45/I2/XuOP/4kcf/xHs/zdX6hTr1tm+l/8q0VcD377X9nyeKEg+YEfzrK6arUv/z//tE2nbd/73/0PQ32HI21geETyZ/9Cnls3Um5eT/nyFyPi2GZF/9JfK5LLCe7cVqwsKbpd2z/abBiaDc31a7s7eT38hM8//JeT+L5AOjvTb3Fs6LQ0//FfWOLt1wdnv1555ZUd8+PIuMMnvj/HZ38kx0OP+pSHdm+hWF5MeeUrIb/zGy2uX4770lRHxXZlWInTf21dU9HBQ5GQkvZL0hKnb3UskGg2l6434PT0Zz1vQ8/wH/6dET7ybMB//J+tcu1mytz87hOB7wvGRhx++k/l+cEf/xym9WP8wJ9cZO2AOr27oeiN4gjPMqdVh9QkeDJDzi2Rcyv4To5Ed2nGK/hOFm00nbROokMEgsncBdppjU5aYzQ4CUKQ6phQtUl0SDe13AMv63DiI2M89eNn+oSjpJvSrUX8rz/3h1RvNDYea8Keb5paI4j11iEhrKxcHBnuzyYYY6+lHwhyBYnrCRbn0l0lwgaNuW8lpp4Y4tQL43zyP3hii87n1/7JZd75zYN7qH+r8X5ft/2QcUv4bg7fydmWEBWhTGKf58LDc7KAIVId22aCQSJ7rTEa18lYTXDhkPMrGKNpx6uEaQtjFFmv0tuTHaDaKLRJe/uLacUrO/gqtVptz2N+T6SWCoUCjzzyCDdv3uRHfuRHAFheXt6S+VxeXmZ8fPxQ29VpZMVdd8MuOVwpXRwvg58tM3b2ecbOPr/nflS6hnA8hLClcccNcIMcrp/n5NM/tP+BCmlts1RiCUdehjTuDhSi7R+6SrYx7PfZBRIpPDzXMrMDv0SStFHaFm4d6RGnHdJojSTtEidtAr+M62QwRiOlg0SgdIoU1ts3Sbq4bhYvyKFUjNYpcdq1A1U4fbU0Y6zTUaOuiUJNNisRm0jvjgOVYYcgI5AOTEy6lnG+DctLmsX53X3id8NqVbFwXzF1YuvwzeYEkzMOvi/wPMHwmC27b8Z6ub7dMszdTXb09fmlYdtMHmR6pI2tHV/tluba5Zh2ywws/dvf4fR5n3t3UjxfEMfmvbAn3gHfFzzyRMDIAHtT2Dj3+Xsps7eSnaVaDUZpnEIW6XvoOMUp5TBRgjmCm8le2GIn3v8/++/63zotTa1umL+vuPiIy1/6a0Wi0NBuG65eTtF6Z0fhhkukYa2qqdc0v/ubXT7+PRme/2jA69+IWVu1bPt//etdHn/K40/9dJ4gY7VZEfDy1yIuvZ5w68buwed7heqS4jf/lybjkw7ZnKRU9kEOVlYYHXf5wR8vMDebEkeG2lr0QMzvzcEmgIeP7N3YDg4OLhlydE2HLi0UKVZt0ScmtC1AuCTEA7UVPU9QLkkq5Y1WmGxW4EgYHZG02rbvfDdUypJTJxw++2m7mFxaUv3WjQdBM9lJCEp0l3rcpR5vc90Z0Bdzv/1O/+e5zpXeT4frU/F8gRcIjLaVe0dCeUjSaVuFjWLZlvWlI/jY92WprVminjX6gFxBcPKsR6ksWVlMST/48qrfwTGiGIxTykyQcYuEaYNu0kCZGFcGBG6BwClgsAFlJ66hdEzOH0KbFKVTNCnrVr+uDJDCQQrPkgtVSNYr4ztZXBmQ6LAXwGpc6ROmTZrR8qGP+T0JPsMw5Nq1a3zyk5/k9OnTTExM8MUvfpHnnnuu//evfe1r/M2/+TcPtd0tD6lDQOsUFYeEaUKrepfWyp0936/SyPZl6rRnsRWRhC3SqEP1zhsk4d6yFN3GUs8BwVqTqbiLkBLH3T0bJd1gS5/qbjBollbfwXq4iz7BqBvVtrjgLFbfsv2fxjbRa5OSqsh+ThjWPeBtQ7bNaiRpFxE36Iarvdd7n9U7nQ6MsYzxu7dTzjzkkdmU/XFcq/+ZyQocKZg66VIe2hkQzc0m3LuVHPo7XV5QzN5MePqFYItjUjZntUT9jNXYnJhy++Lhm9FpGxprNtu1vU88rC6QdBr9vhcVdvoSJQBxaHtU791JmDrhMjkzONDzA6s9+swLAZcvxQd2UToqxiYcTp/zmJh2yezS87nOcr91LeHq2/GOQCW6v4LqRmQvzuDkAtxcQOet2yTV5rGRju7NKr70ex2S2GZDw67hX/5KGz8QxDF86Qshb74eM9+TEjIafv1/aveJY7Yx36oOGExfgQBsH+ff+QWbzV1Z1liTHsOrL8dcfTclCARrqxuOSIvVPNHlEVZ+7SKOI9AqprN0l9V7y9SXW7tbWb7HUAp+71+1uPZOxF/9vw1TGXbIF3aR9ZLwAz+e56HHPKrLa6xWFZ3W4b+rHEWKYgiDQZESmwgPH4FAkbDeAelhH0w+ATWzjINLThQpYXUrNYqmWSOk08uAbmBmyuG7Pxrw4z+SY3zMwZFw6qRLLiv4a3+5RBSxowd7MxzXatiODDsstOFXf63d7//84OHgxyWE4OEnApqVDO2WtvNmz+2xWJbki1ar+N7tlCtvRSwvWA/uZ14MaLcsqbO6rDDaHMXx8jv4NoDSMVHaops0SLWVBst6ZaRwiNMOUdLqk//CtEGUttEoMm6JwCtQ787hSJ+cWybVVioy0WFPzzdH1i+jdEKUtoh1F8m685dGm8GVjv1wLMHnf/6f/+f84A/+ICdOnOj3fHY6HX76p38aIQQ/+7M/y3/73/63XLhwgYceeohf/MVfJJ/P86f+1J863I6O2G+rkogk7uAFeeJOjdbq7J4MYutlm/bTKEncQboBjhfQqS8QtVb3lERK405fGsdoRRp38XMlHC+DlA5arXN6LYSwOqJyj+B0M+JkpxSK2ib6GiXNHe/R6fYG4wEwKWq/JvkewtCwuqI4eWZr0CylLY3akqRl6A4iwdTXNGvVw6eWmg3NalXtiIcc1wagmawgjgTFsrODlGIMtJqadtswyLxBJxFaJRvB1radaN0jHc0rFudSJqZ3yjitM5OLZcmFx31mb6XvefA5PuVy6pxnM3gDCFZgBdtXVxS11d3JYtZRyUPmAqTnWgLWMR5nGBoW57fue2HT72tVvUOeamH+4Nfu9s2t48kYaNQNjfrOcaacEo1OjutXYhASozVpp0hncY3ogMYD7xUW5+z4vnIp5vwjPpleFWFzBnT9x/FpB2N8HnnS5+o7Mfe76aFt2R1cApFFo0iMIBUxbs9BJiVB9jKjsJEllUgcHLxNdr8pNky1i9ut11ApiGJDt2uIY0OpKPt659mMxHUMeyl6KWUXT5evJgzNwOUrydHs5z+AyBcFzogkXxSoHr8vkxXki5JcT2DccTeIcpns+rwqbYVgVeH5giAQfaOLw0IIcAIHP+/i51wcz8HNOEgpEBKEFHY6NAadGrTSqESThAoVa+J2Qhrpo1VJNn3EzTj4OZdMycfxJY4nke6Ga5NODSrVxJ2UuJ0StxNU/OD3q3QE0pNkKz5u4Nj/fIdeHoKpJ4cx2qASu+80VHRrkX2eH2fQ70icUhEdhpg4sV6b+yDWXWTqoHSCMinapLjSqmZoo/oVUSkcq1phkh5B2RKXUx1hMCS6pwCEItUxStuFTpx2+uX8REd4Mtgkq0bf9OYwOJbgc25ujp/5mZ+hWq0yOjrK888/z+c+9zlOnToFwM/93M/R7Xb563/9r/dF5n/jN37jwBqfD4qoVaVTm2fk1DNWBqlVtfJIBxgxxhjaa3NI6ZIpjpJELbqt5S3yO3tBqZiwtUymNE6Qd3GDPGnUtgEOgJBI6ZEpjuDnygeW1fkgoFXXzN5MeeyprdfRda1wbi5vGcnjU87Asvv83ZT7d9JDJ9WWF1Lu3pK9SW7rw9hxYWTUIdvTGg22aXFqDffuJFSX93hqHeA7eOv1CCHhyY/s7kk8OePyo3+6wKVXI5bmDx8QHAYvfHeGj31vdksmeDsadcWrXwtZXlBbdC/X4U8MUXj2PO54Bem7IAWFSoFkqU54e/E9kVx63yAEhenzqLjL8jf/DUZrvFyJsac+RdxYJaqvcLxPlMMhCg3zd1P+h19c46f+XInhsQL5wmDjAN8XTJ1w+dm/Psz/95/U+b1qi1Zjd8vRQRC9QFJjy2kJEQUqCCR1VshTwsMnIerZ+iY27BRZMuSI6JCSkBD3+8m2D/fbsym3Z1N+83e7DA87PPuUz1/9i0UeueDxW7/XYWlFURsg3wa9SktTU29ovvlWwq/9Brz+5ofba30zpLQucCPjDm+9FtFpa559OEOroakupdy9aVheTGm1DK26BiMolBxmTjvEkZWgGxl3GRl3cD3bK3rYVh/Hk5Snc0w/PcLko0MUJ7IMnSni51zcwAaEWhnSRNNdiwgbMe2VkJXrdRpzHeberNKY7xC1Dlcy2BKsCihP55l6cpizH5+kMJ6hNJUjKHpIR6ISRbcW061FzF9aZf7SKve/WaW12O0ldY6OoOCRG8lw4funGTlbonKiQHEyi5exk+pP/L2PE7dTWsshi5fXWL3d5Orv3ydup6TR8U3uMpcj9+LTxLfukswvoZs7k03b0YqWaUXLCEQ/w9mKdteXlcLFc7IkKiRM6oRJ05blo5WB8mjteHXL73l/mIxnnZ8EEkf6KB0fKgA9luDzn/7Tf7rn34UQ/PzP/zw///M/fxy7OzTaa3NolVKZeoTC6GlOuJ+hvni914cZIR0P6QY2+FMJaRJSX7jaK1krGgtXkUKSH5ph/NyLhM1lmsu3UanVYJSujxfkcbwMWiWErRU6PRH5NGyzdv8y+eFTZIojTD/6vbRW7xI2VzDaEOSHyJYncP3s+/msOxLaLc383WRHqUw6VudyeMxheMxOhps1r9f78pYWUxb2IBjshtUVxfzdtC8xs/5AFj2x3KERh3zBMDzq4G/v+dSweN9m/x4EN67GCMdqNOaL0nqpb4MfCEbHXZ59MYPjCF576fjlQHJ5wZmHPC4+7nPqnNdfpW/G+vVeW9F8+fc7rOwSeMdLazRfvoIIPIQjEVKQefiEbUI7ZqmlDwaM7ckO8hiVIr3AujkNuojvA5Syerpf+1KXTkfzk/9OkVxhp16uEALHNQyNSj72fVkKJcn/8j826HYOHoB2aKJ0Yl1jUCTErGK1E2NCNBqJw4alb+99Jiaii+oRkOyr6Y6S+2aEkaFaVbz6esTt2SylguQbb8TcvpOysDR4bBpjRbeTxDwwweiDBmMMVy7FtOa6ZLKCWlWTpoZWQ5PEhjSxGpBRaOi0Dbevx7iedZHLZAVawcpiShQagowgDvWhAs/SdI6hUwXOf88UxfEsxckcmZKPm3EI8i7StXOBcARSCDxHIEcyZEo+hbEslRMF4lbCqRfGefVXrzH/1trBs58akkghXUlhLMMTf+IMQ6eLDJ8pUhjN4GYcvIyD9GS/51WOCDJFj0zRZ+LRIR763mne/s071O62Wb29s+K3HzIVn5PPjTHzzAhDpwqUp3P4Bc8G3Rm3Tyj08x5u4OLnPXJDAdNPjTDzzCjzl1ZZfLfG/KXqA2u14jo45SL5F57CRDHpah1anQMv/PfT1V2HNopWL9A0PdLRYT4fpi1WO3cRSJRJbSb1/ch8ftCRdOuAIWpVcbyA4ugZVBKRxm1UEiFdH8cNCPJDJFGbuNvYWEEYQ9hYppsfJmqvkS2N4wV5tFKoJMQYheMGeJkCjp8l7ja2eMOrNKJbXyTqrOFnixTHzlp7Oi+D0YogP0KuPIHWCpHG1i/2Q4Kwa1hZUjuY6lJaW8vykMPQiIPjiC3lQq3thNqoaZpHKG92Wob6mp2Y/cBsLTMLKJQkKjUUSxLP3Vl2X12x/roPguqSIpdPWZpXTEpBMCAB6roCJw8PPeoThYZ3L0VEkTk2ST3Xs6W3h5/wmT7pMjSyW9rT9laurihLlmoOPnfdDom6NpskhABH4J8YRWYO1g7yYYNOLEHHzRUxKsUJsug07rXMvP+RtjG2P/nm1Zg0MXzqszlGBRSKO79nKQW5vOD8wz6+L/jC73Sobrbz3AcJEck2S8LNNr6K7vaP9JASc7hFlVLQ6Ro6XcXiomJhVDF7T3HzTsr9uW+TOvohsbygqN5Ot5jN1Nc2rEM3v75W3dyyZf81BtqHzDgiIFPyGTpVYPqpER763mmyQwF+1u1t05aTtbLkShUZrOypwMs4eFkHIXyK41mSUJEbDsiUDjdXGAw6MWSKPpWTBc5+9yTlmTyFsQw6tQL8OtWoXmZRutJmYbMe2XJA5WSeNNKszbYQQlC/30al+sC3b1DyKE3lOPHcKGe+a4Kh0wWkK2yLX6/ErhIDHujU2AV5ySdb8cHAyNkiXtZFOILavRZRMyENjz6Gpe/jFPN4J6ZwSgWEezDL7cPDEKsDtOHtAqVjuvrBKg8fnkjnAaBVQtRe48bX/2dKY+coTzzEyKmncfwsjpdBJVHPKWmVbnOZsLG4Rd1fpRG1uXdpVu8wfu5FcuVJJi58HNezjGiVRCRhg6TToLF4vW/rCbbnM4lazF/+ErXyBJMXv5vK9KOMnnmONO7Qrs3TXLmDXrxGpjDC0Ikn3o9LdCQ0appb15IdJVwhIMjAidMu7Za/oxQcdgyLcymNmtrqq35AWAcazfy9lMkZl8rw1h2MT1pf6dEJy3zfDKUMd24kLC8+2ENOKaguK/7nf9bgh36isEVGaju+9wdyXHzMZ2Up5e03YubuHk/0efqczxPPBfyl/2Rod6tPAAPf+GqXN16OmL+7e5uDzPjIYhbpWY9jpMSfHAbXsRabRn0QYrLjgTHUb79DUBqhfOZxhOOik4jatdeJW7X3++i2YHFOsbai+ZV/1ODFT2b57I/ld33v+JRDZVjyZ//PJb72pS6f/62jP2C+FXjr3ZhWR9Nq6T3JRn9UsEUFYpefd3v/YRHkPV78cxeZeWaUqSeHbYZv0zRitCENFe1qSNRKSbopftbFz7vkRjK4vsTx7dzbrUVc+9IczcXuoXs+DYYLn5nmkR84wfjDZdvfaaB2t0V3LaKx2MUojXQlxakcQycK5Ees4oGQAi/r8PyfucDsy0u0lrqszrZIOgebY5/+ibNMPz3CuU9MbTn/JFRErYSld2vEnRS+H25/bYFsOWDkfAk/7+J4Ei/ncv57Jjn1whjZss+911e4/dXFvXe6B7ypMbwTk5uUVr598aEIPuNOjZXbr+P4WZtVHHDHGaOpzb9Le/UubpAn6tS2vUGTxl3atTlUEtJeu49wPMtmVylGp6Rxl7C50nMv2k40SSHq0Fi4Rrc2T3P5FkK6CCEsmz6JUElEp7ZAGu/s0Yi7dbROWbz+Eq6XQToeWiXEYZO4U8NoRbe+QNhcIWqvHePVe+8QhZraKnS79sHhuutkG3vTjE85KOXhbNNBDEMbOG73VT8M0tSwOK8oFOWO4HPqhIuQVtplewXVGFuiatQePMMSdTXvXoq5+HjM5IzL9Cl3x7mCZa4OjUg+88N5hkccrl2OeeuNiCTZKfl6EAyNSE6c8fjEp7Oce9gnm7VklEFIEkPYMbz+9Yh3vrm3FI/M+HijZZx8BuHYyS9eqmHCxGp8fpvFBk6QxfGtAxhYl7SgMo5KYlT0wQnarEqB4Z03IzI9ObGHHvXJ5na2B0hpdTQffTqg1dIszVvrzge5195LfPNSwu07ivtzitYBXM6+g+NBeSbP0KkCM8+OUp7J43h2LCXdlG49ZuHtNdorXRrzHdvTGGt0opGexPUkXt4lKHjkhwNKM3m6tZj5N6t064fLhklXUprIQY94FrUS1mZbLL5To3q7QdxKidpW6k06Ar/gUZnJU5rOc+F7p/GyLtITuL5DcSLHqY+O06lF+waf2bJP5VSBqSdHGH2o3M92Jp2Uu6+usDbboj7Xpr0cohIN3w/v/NYsXsYlNxIwdqFMeSbPzDMjNgDOOJx6cRxjDPW5No37Hfu5/SDAP3cap1LEHargTU/gjg6BEASPnEeWCuh2Z8vcm8wt0HnlzZ1a575H5slHbKJAa8K3ryFzWfwTU7hjw4jARzgSHcbodofupXfR3RCSFOH7eCenyD5xkeT+IunqGvHNu7setjs9TvDQWaTvka7W6L721v7nun0bh/7E+4AkbLJ679I+7zI0Fvd2RDIqIWws9X3XDwWj0UrTXLl9+M8CadQmjdr77ru+cDyuTo4DrgOuN5iksBeMgW7X7Mu7iWOb/ex2TE+4e+uOxiZdKxuyPfPZNczPpUQPIJOiFSzNp0xM7Yy6Jk84ffLR5nK/tXSE6jGU3cGe/61rCTfeTZg5GTM+5SDlYEZyoST5xGdyZLKC8pDD3TvWzz6OTb93dbdAVEi7EJa9gHpi2uWZFzN83w/mmJhxd5zn+rmCJa6srijefDXixpW9Hwwi4+ONlHCHCgjHAWOI7q+QrrVs+Uf3tE0PwL78MMDNFnAy1ufaCnoKgqFxosb7byO5HVrDjSsJmayVEJs84eIHYsBix0qdnX/Yp9PSVJcU92etnu1RuYxC2PnE/meVQPvlXuzY1dqKoSfp4bJxl688iKHswWDZ9xv2mECvb9Ucuk/t2wVDpwrMPD3C5ONDuL7T95iPWglrd1tc++J9Vq43WL5aH5zJFJAbCqicKDDz7AhpqFh8p0bUPFzw6biS4kTWzs2poXqzwd3XVrj827OszbYGstiLk1nbKvDkMPnRDBnft8czkuHU8+Pc/uoizYXd2kQsskMBM0+PMPFIhfKMrSSksQ28b/zBPHOXqixfrW8J+q59wfI4hIQzH59k6olhxh+u4GYcHFcy8/QIcSdh6Wqdzkp0sOATgX9mBn9miuDsSZzhMiKwrQvBuVP4Z07suKG6r79tg8/tW/I8ss88hvQ9TKpI7i3gDJXJPvkwwUOnkYU8wvdQrTbp8irRrVlMqjBJivA9gtMzlH7gU3TevEx8/fbuwacAb2qCwiefRwYB0fU7377B53dweLzwgs/3fMLnx34kSyF/cAJFqgxRCP+nf3+VK1f3L11oA/dnU0plydkLWyWXxiYcRsacHVm5VlNz9e34QH7uuyFJDTeuJAM91k+c8gZWLMKuobaqWF3RB+6FOwi+/Psdrr0TM3XCZXxqsKYpWCLWMx/N8OjTAR//dJY7NxJuXIl589XISgytKDpt3deXDAKrVzo85nDitMvJsx7PfzzD+KQNPrK5nYH9ZigF33wl5Nf/eZM7NxKifVocpO/ilPIE0yMI3wUD/uQQRms7ma02SatNml+7bP3eP9QQOL6VNzPaRv9apSSdBire+8H1fuLqOzH37qQUK5JHngy4+Ji3qwPSw08EnDjjUV1WXH075vq7hw/0HAcqFcHHPxbw+KMezz3rU6kIK5MkIYoM9Ybm7bcTbtxM+Z3fC6lWNd0PxCUUeMJn2J+h5I5RdIcRwsoFtdQqrXSV5egOqYkPTLT4doCXdTn3yUkufuYETk/CyGiYv7TK7CvLvPEvbxA1E1Syh2ySsaX2qJmwcqNuCWGROrIZRRopOqsRv/+3Xqd+v0NnNdyVvNNasm0Ar/zzq5z/nikufHoGsNnMmWdGyJZ9pCN2Zb+7gcP4xTIf+T9eIDey0ax/9fNz3HttmXd/9x5JmO5a6TEaZl9eYuV6HZ1qzn1ikplnRgGYfHSI7F8IqN5oELcHGHns2Jghunab5P4i3UvvEpw/jTs1RvapR+m88TbRtdvo+lad5bRW32ODIAIfWfSo/Pgfs9+HgM5rb6GjGBwHb2IUtEHXmpjQ9nnrdodkcYXwyg38k1MIA80vvmRXvZtPQgicchFvYgT/xBTtl14nun57n5McjO8En9+myASCUkkyNelQLB4i+EytDp+3v969hYFaVQ3UsXScwcFRFBqW5tOBcj8HhVbWXnC7oLYQAneXY++0DWtVRZocToZmP7RbmqWFlJf+IOTRp3wefyaw7k5ycwbU/hxkBJ5vmDnl4vmCQklSHnZoNTSthibsGpSyxxcEVli9WLYi02MTLmcv+BRLkmJp9+/UGEvouvRayNtvRNy5mRCFev9zlhLhSKK7yzYTkmr88bJ9ba6KanZRze6Wfuj3DKJnKylF/4EmpOwFilhWutZWmmz9MhtsxhaDUbrfOmDSQUGXQacxOk22yJtJx+0bDHwQkcTQTDXffDkiTWBqxiHbkzTbjvWx8+xHM3i+YGEupds5OOEtlxOMjkg+9T0BTz3pcfaMy/nzLvm8IJe1FZUkMbQ7ltg3Pm41IV9+xTLX19YOPk6EoL/dXFb2M/174explzt3010zuq7wGPanyTpFpJB0dYP1wSKQZJwCw/4Ma/EcsTl+JYqDQDgCL+ty4dPTTD0xdKRtJKFi5UaD1nKXqLH/AmPodIHCeJZs2WYMtTKoWHHvtRUW3lqlXY0wB5AtMhqU1gfM8O2N9kpI9VaTxlyHbj3akzVue1FTlq83mHi00g+wpCOsRmjBxcu5RM0B10JAeTpHaSpHtuLjuBKtrG5n9VaDxXdrxJ1k33YoFWvbanBplZGzJcYfTi0zP+tSHM9SnsoRNRPaK/uPK91oYTohynVwhsrIQq7/erq4gqqubZlzTRjtWV4QgY9TLKBbHXStTrK4TLpcxcQpSIFes8GribfqWatWm/juPN7kGLKYxx0dQtUamGhTNlsI3PERnHIJpEO6uEK6crQ2we8En9/BA8Fgg8DVlf2H0voN1O0YZm8lD9SHplLD3Kzt3dzN5nI7mnXFwr3jt0xME8tM/Zf/Y4PP/FiemdMuo+MuQgy2RZTSCuAXyw7nH/b57k/b142xpcseyRTHYYeszl5Yvw7W9Ufz27/W5srbEfdnDxZtCGEb+BsvXSWttzFJSvkTjyOzAbXPv8G30j5FOA7CcZCuh057Djueh44jjDE42RwmTTBJYqOUnp6U8G0mw8QRsvdzmqYMSmOobhvpuHi5nt6wEDhBDvkBV5zQGr7w222WFlKe+ojP1EkPt3fI21s+HAc+8yN5xiasfuTcvZTuAeVghockjz/m8df/oyLlsiQ7gNTmeYJcDsZGHZ5+yvCpT2b473+pyRe+CPV6cqBSvxC9dpIxh+kph+lJB9/b3SxhHd/1QsDcQkq0i+SyJwNOZB+lq1qEusVqdA/dsxAc9mxQOpydpqPqxOn7E3y6vhUy/+RfOTrRtLnU5ZV/fpU7X18iauydFQOYeXaE4kQWN7CZAaUUcSfl8u/cpXavdaDA87hRvdVk9uUlurUYFe0/aHRqWLqyRuOFMXSPjCSkQArIlH0yZX9g8CmlYOKxIYbPlfB6rP40VLSWuyy9W2PhrYMHUmmouPPyElNPDHPiI6MUfHtNpSsZu1ghidSBgk9Va2z8PD2OHqnYSkyrQ7qySrq4cqheFpnP4Y4OE16+TnT9Np1vbC3R76ZQrutNois3yT33BLKYxz89QxQnqE3Bp3Ak/pmTuKPDYDTR7BzJ3NEIVh/sWfY7+ODDwNxdxcT0wQKcdsuWvpcXFAMTUgeEUtajfK2qrL5dsJWpOQhrVc3srZT0PZhctbae81/63Q53riX82b9UZuaUy+jE4W6x9RaFzfqlB4Ux1kHo61/q8vJXurz05a4VpD4gRODhVPJ4oyWE56DjFHe0jPS93sF8qx5KArdQwh8aJTN1EhW2MWmKSRJ0EmN6av3S9xGeh9EGISXScXEKRYxSJLUqaauJ6rahPUj7T+AVh/DyZaQfYJTCqBQVttHHpYX1HiKKDNffjfl7/9Ua/86/X+bxZwLyxcEDJsgILjwW8Ff/s2F++f9d58pb0YFaXn7qJ7N89EWf4WHZD273gpSQy8GP/2iWCw+5/Mf/1xrhYH5oH8NDkpMzDv/RXykzNeEwPCyxw23vXvUu8Jd/psjv/n6XaJdgRSBxZUA9uslKNEtqNh6ioWpR8SYp5cf7VsN/VDD1+DC5yka5uX6vzeK7NTpr0bGKpR8Ga7Mt7r1WRR/ClF6nhqRj+zRzlQDRW6x4WRcvO7gfSUjB+MUylRMbihFRM+Huy8u0qwczjtkCA2t3W9x/bYWHPj2DdCzfYOxiiagVc+/V3YXe30sYrem+8c6hAkPVbKNv3yWtrtle0WceI12qotY2LWgch8wj55D5HPGte6i1OrpztB6b7wSf38EDo7amaBwwyGk2VE88+cH2aQx90eVWU+P5DvsponXamtUVdSSG+UGQJlb/MwoNb74W0WpqtIHKkIPXk3za64E6iKh0UHQ7lvh165pl0r/zzZhadad3/V7QYUK61kLmAlxH9prRFSpK+JZS3QW4uQJuoYibLwIGHcdW695okBLp+cggg/R9TJraMr10bA+nTHEyOdJWA7NXIGkMJk2IWzUbfGpls6kfguBz3Sb2xrsJV9+JyRcEjz4VIB2zbRz1rF5Lkoce9bjwmE/Y0Vx5O941K+k4tuXj/HmXh867eN7+VYX1fTkOTE87xLFhqCJZXdOEeyR/ZqYdHnvE49knPaQUKG1otQ1a790akxmBWkOj98zGG7TRpDoh0RF6k+eSMaDM/5+9/46SLMvv+8DPvc+Fj0ifWd52VXs7prtnegbAzGDgSHgCJAHhcHFIiofiIY8oaSlS1FLUHiwJSqvVWa1IEKIIGlAE4USCcDODnpnusT097aury5usSh8+4tl77/5xI11VZlVmVlZ31Wi+51R3ZmTEi2fv/d6f+X5TtFEfaL3nspbmndRLpv0MnW3d1rI8nl+J+gFEncTqYyYaY+TARtPeHELYrIKBQb2sAcyAsA9eH9RHGKVWf95iemn5+ON2Sm9xmzJNBqsBmuh1V1A6AulssqAQUBjNkauu6pGqRNOeDUnDnT33cTuhM9dft+/FkRyFoc3d7+4qjAGlUM02qrcN1Q6lbPq/0ULmAtzxUWSxYDuXMwWug8zncGpVTJqRzs3bEoAddjJ+l3x+F3cEY2D2asbCodsPNsbA1YsZc7skJG0MNOvW4rNcdW7ZfAPQrCuuXkrJ7tSF4haIIkMUKX71f2xw5KTPD/54iY9/usDE1N191GamMy6eTfmV/3eDpXlFt70D/dTpBbKlNuVnjuNUCuC5hO9eJV1owvuZihMCf2Qct1RGqxQV9tBRiIpCdByBdAgOTA7qO+0EpLMUlfZJmzbSID2ftNUg62yWhjSkvRZxe4m4YaMD0vXIjewZpPnvfWSpNUz4D7/R4b23Y/7rfzBKEFhprxvh+TAy5vCnf6bEiYc9/uHfrpOmG3fAFwqCA/st8dy/39kS8VyLSkUwtcfh0Uc8Tr+XcfnK5s/7pz6Z53s+HjAyIvniSxEvfS3mnXdT4sTccuH0T34V/uu/16B3iwiuNpowayOEIHCKhGpVQi/vlHCER1+10OYDXGwY0ErTut7bUrp5I/TrEVE7QSVbG1eHD5XxS6s3SW8pZuFsC60ljhcgXX+l6c7xchiVYYx18luWJZSODxiM0ThBwUoZRj2k6yOEIA27bGnBakClmrAV05kPt73G1QMh+LWfE1KsuBLdCCEEtb1FiqO5ldeyRNG40rV6njtAv5nQnO6tlisIqO0t0Zr+YOTajFLoJLUySsk2x7JBAxQGis8/jTs6hHOthGq2cCol3IkxnOEayeVpwrfPoKMdRIsH+I4hn0I6VKaOE5SGyVXHcbwcCIHOEqLOIkm3QevaaZtSW17VSQfHDZh8+JM4fo7uwmU6cxdIbqGzOXbiWYLiENINWDj7DcKBjebqjgiC0gjFkb0UhveuCNnrLEGlEf3GDL2laeL2wk2rQ784RHXPA7i5MiqLaVx+k9LYQfK1CYLSCGAwWhN368SdRTpzF8ji/pZXmXcLraam1VCEfUMQWKmXjWCMJUkLc7s32LcaiunLKScf9SG49STZbmpmru5+zedGSFO4dinjP/xGl7OnEvYecHn6+Tx79rnUhmyn8HYn9bUwxuqcLsxkvPGtmDPvJFyfzqxv+w5raU2m0f2Y3tuXEZ4DUqDafXT0PpMxbehfOY9wrc2nTpJBZDKzMk9CoKI+DMRz7ORotaqWm4eEkKhw88FfCIlfGUGnMXHTyp9JL6A4fhCjMrKotzMR1g8Ai3MKSPidf93hmedynHjk5ojL8r02sccO+X/6Z0t866sRF87cfG1LRcGRww75vNjRPSqErdc8dMhldk7fknxOTjiMjTr88Z9EfOFLEV/7ZkyrrdH69gGVy1ezW6p+CQS+zLEn9wBTueNEyhIigSDnlHBwEcLhUOHxdSn5zCRc7L2+LlJ6t6BSTdJLefVfnaV1fWdkRaWa9kxvyxqbftFd6XIHyMKMsJFQHD5AFiuypE9haC+un8PNFcnivi13MYo06qGSPuWxwyT9Ft3FS/j5Co4bQAWypE+WhBB2b7EHqzDakPRSK6n0fqxvBXgFFy9YjVTozBB3EvQOG6eySBF10nVNQV7Bxd0k9X/Xoc2Oo5EAyeVphO9RfO4pvD0TqE6P8LU27ugwwZEDoBWq3iK5NG2blnaI7wjyKb0ANyhSHD1ArjJGvjaJ4+cAgVYpXqFKXFgkbM6Shl1UMnjIhUA4DqWJw/iFKghJ2JrblHwK6VAeP0yuNokQgsbVG7WtBF6uTL46Tmn8MMWR/ZZ8+rlBZCbC8fNolaKzxH7PmhvW8XMUR/cTVMZQaUzYnKUwso/iyD5yZSvlYIwh6DcJ6yXSsE2/PoP6gMlnHBmaDc2VCym5wub1YVrB9KWMpU38m3eCdtNw7aJhcTpHseis2KJqkxHr9YP5/Kyi2bCpJVe4uDJY0f7b7dSb1tBuadqthHZDMbXfpViWJJFmYsolX5S4nrXgdF2x0t27ttF62ZNdq8EKX2G9njP7/wtnU6YvpXzjyyHn30uoL94hWTLGSirNN7f90X5XM3dd4QcbD0ZKQX1BkSRQGXYJ8gKVQX1u4070tFW/5fep8GYjh61iOT3vF2voLMHNlwBwcyXcQhnp+gM/w823kcS24c31xYZd2WlirP5tbAaas4JSzcEPJN3WnSk93Ih+z7Awp3j1axGVqqR4G3WLNDWM73EpbCLB5vuCkRG5dcWLDeBIGBmWFAq3Jq+VkqBYkLx3NuXMuZTzF7e+MG3dJrpvMCiTkXcq+DLAFwNXHMB3CnaMUCEFp7Luc4kJeb/cZYw2ZLHi2ht1li60b/+BXYDjO4g1kUGVatJQ4eUqQEyWhPiFKl6uhJsr4np5VJagVbJS3pKrjmHlJSRuUMD1iwjpoFWGIGKrTHJZokm/T9rBAtvkJb3Ve98YQxplm0oz3Q4q07ZWds3H3UDi+DuoJd6tYUGbHW9M1ZuoehMdJzhDVbzJMUIhcCpl3MlRdJSgOl1bC6p2Ppd/R5DPyuRxRo8+TWnsEEnYpjXzHmm3iQH80hCVyWOUxg9TqE2xeOFVls5/C7ARkzTs0m/MIIRDbe+DtK69S39p+qbvkK6PlyuRr00hvYD6pddIw/ZN79n75GfJ1ybJVcZoXHmLpNck7bfwCjX8Yo2hg49THDlA1Jrj4tf+HTq9uSDKL1RwgxL52iRxZ4mk16Rx5W2k4+MGBUaOPEWuMk556gEuffXf0lua/sCjNG+/FvMXf3LWDtmbjdvG6oju5q6eeROuviu59HtP2GiG9Mh0TCOZ4c3GH697b5YZdCbIOWXG8oc4VHoCV/gYzLrIx25jdkYxP6t469sx5YqkUpU8+WyePftd9ux32XfQpVSWVGsOQY6VlFESW/LSWFQ0G4rGkubsKWvPefZ0wtx16xJlyeld2/0t4eUv9Pnal/qbd+cbUNpw6MECP/VXJ3n6e8osXEv4f/zc+V2VvdoKvFKN/OheSnuPIRyH3KjVCTQqJWkt2ZTjbRZ0l86l/MKfmtn0fl8+pjQx+IFg8mDAn/lrkxx7vMBv/+N53vv2zsnzRgh7hq9/KeSVl8NNU45r9215MbMRPE8wVJO37Ta/FaSEoSFJLnfrbSwvvOYX1C1T6DtBokPO978FA4H5tQvMQcx8w+nZoNHci3W/Yk0xuNmemj+skCFxw/1hyWeGMQlp1CVszOAXqmiVELZm8fJVHC+HFIKgNIxfqNqvFg5erjTIBPok/RZxd+mWmcMbYYwhi/WOid+2IQWOJ9c9I0YbVLz1mtkboQfkc+3d5ObcFTWBbeODK0EGQPcjsqUG8enzOKNDBPkcfO5l3KlxcscPE713gXR65o6IJ9zv5FNIcpVRCkNT5GqTtOfOE7Xm6cydRyWW1DnNWYxSFIb3kK9OkKuOk6uOE7cXB0XVhqg1h+vlyA9N4heq+MUaSa+57qvcoEhheK+te0lj+ovTqHi1y8vNlQlKQxSG9qBVSuPK2zSn3yWLOqgkwvHn8PIVHD9HUBwiVx0nX50g7tbJovXduEK6gCHuLNKeOUfYmCHptwZlAj5evjyI8E7Yfe23SPu3l9i4mzCaXY3mbBVplmF0j3P1t8k7ZYpujbI3SprJTaScDKmOaSVzXO6+TskbJecUKbkjd28nzWompNuxrkZvvxpx+ZykVHGoVCX+QFDeWpTajykFKrP2pXFoCENNfUHTadvGqbBv3pcSgq1Aa9AJ3G7kNNrgegI/kHjBB9NlrOI+UWOOzvR7AMTtQZRVK7KoR9rfqDt+PYzZxv0+aPpxfXvcjrNxtPROsZKqHnikD0+4TBwIuHY+Juwp0i3urxB3VhKyjK1wo8W6YnFJcWCfy+ktmFpsBxpNrLafyv7ABeeXNW5tO499yXEBWwbhFauYLCXuNlZkwbTK7M9CorPERvcdB5XELD+TyzWJwtzQ3CgFwoH+0hxpaKOWUWse6Xoruro6SInac7asxRhCdxaVhKRRj+7CZYSUqDQmS+4dW9oNYQxaWTenZRIuhEC623cCXIaQwvrRsz6avJM0vkkzTGqfA+G51u3o/RQaGUD3I+LzVygMVXFqFYJjB3HHRxC+T3Ll+o61PdfiviafQsoVMhmUhpk79WV6S1c3jFzqLKEydZxceZRcZZyk27B+1UDUWsALSoNUXJWgNETSb60bPd2gQGF4D9Jxbbq7YT3il+Hly7Y2szJKd/4SjStv0Zk7j05XC3Idv4AbFBk5Eh0KiQABAABJREFU/CT54T3kquPoLLmZfArrzRo2ZujMnqO3eGXtQeOXhkBAafwQXqGClyt94OTzg4ImI9EZ1/qnyDsVhoIpck75lp/JTEwrnaOVzjGaO0jNm7i75HMN0sRGw7blNrPZ4COEnUmWRUGFYMWr87vYFCoO7cLRaIxSJJ1bp/jvVwxP+jz84RKdhkIpQ7pFGZ3lyOidQqnbJ2Tm5jUzs4qDB1xGRySBv2rReee3sSE18Xp7zWVbUHPv2mtKx7Waa0YhhLT/XNvgAxBURtFpTBp1bXmZEJioj/QCpOOSYZCOh3Q9VJqsnMjla7qiizw4GdKx5CtuL6wIxsfdVYtZx8vjqpTu4pUNUyy9pXuccK6BGTQ4aWVWZO2EAMezXf47gXSk/fyaj6tEobYhG7Wyf2mKSWwWTgQ+TrFA5ror8nIglh/QHe3rVqGjmOTSVfKPncQdGSJ3/BDu6BDCcUivzaIazTv+jvuafErpUp06TlAeRmcJ3fmLRO2bdbXiziJSOhij8QoViqP76MydB2UJQG/xKkI6GJWSH9qLVoruwhWMWR2s/eIQ1X0P2rREa46421g3suarY1Qmj4MxJN06ndlzN3XNapXQW7hMZfIYBelQHNlHFvcImzM37XOWhNQvvUHcucFn2hii1gJB2ZIlNyji5oo3ff67+A6AlAhXIot5TJKhkxQZeDbjpjWymAdtUJ0e/oFJZCFPcnkGE8V3VAj+fxXErXvPw323EOQlxx8r8AM/P8qFd/pEPUWvtTXymaSGekOTpjtnf0rB4pKi17/1Nv7DH/Q5dz7l7/+dGp4nOPGAxx/8cchiXdNsKuLkTkjoqr1m1Ruj5Azbhb0x97S9Zn54D26+RBb38YtV3FwRlcbErUWixoydx4o1Roan8HIljNH0F23plTED6SNjMINIvs4GJUWDQ4y7KX7BxfEt+/IKLqXRHEsXOrDBsNFvXMNaId17RH3bMBB3EtJegDs4fulKCsM5WjM706v0Cw75mr+OfMbdlKS3/TE4m11EBgEmSck9dBx3cgznaxVMktgxPxeQ1ZvE713Y0b5uFSaMiC9cIZtfxB2tUXzuadsPMLtAen0e3dlaQ9mtcF+TT4TADUo4bg4hHWr7H95Q4sHx83j5MkJIpHRxXNuMtAyVJWRxn7hbx/Xz5MqjdpAadDs6fh43V8TLV+gtTdtIyQ1LeukGuLmSLcaujDF8+MmbRk0hJW5Qwi8NIRBW1mIzNxWtSaMOWt18AxuVrayEhHQQN5qn3xXYgbzg1gicIo3kOr7MUXBruCJAABpFK5kjVv2VTlGBoODW8GWBwCkgkWg0yiR00wapjtbVW3oyRyCL5JzioCFIIrAdqKmO6ab1wWTx/gyEvsyTdyoU3SEW4ktkOr5poio4VQLHLgAi1SVUu9M44JQLyEIO4XvoKEEkCd7UmK3JmVvCKebBdZGFHE61bNM0UmJ2IWX6fwncJ93s24WUMDTuUh1xKZYdnG2mFOPYMD+vSe/IBMIwO6vpdjWuC3/6BwsbNh/VKpKJcYdqVXLsiEsxLwh8Qbuj6fUMaba53udP/1iB//P3+5s6HC3baxacCgJpn0sBxogVe80Rfy/1D9BecyMIx8XxghXZo+XFJkIgHc/WX3q+HXOzZEX+yPFyCMcji7r2fX5+Q8HgsJkgXblCPv2CS3Esv2m99getprKbMBj6jZjiSI78QIfTks8AdycNQljyXhgKYM35C1sJ0RasTm+EjmNUs0V8+jyyVMAp5AlOHIHMyl0tq33sXOBoizAG0oxssUG20MA/uJd0bpF0Zt66yu1Cdu2+Jp9CSNxcCcfPDZp9fuD2n5HWsm/dM2kUKunTW5qmOLKf/NAUwnER2hYRL9eBevkKUXOOsHmza4DjBbi5ItJxKU8dpzx1/Jb7YVSKdLxNiaMx2kpc3CR4bbXVVuSihHhfHDokkpxTZqrwAMP+Xt5pvkjFH2Mqf4KSO4wQgkzHnG6/TD2+jtZ2FSmFw0iwn5o/yZC/B1f6KJPQz9pc7b1NO10ky2zaUyApOBWGgr2M5g5QcoeRwkEg6asWvbTOpe4bhFmL1Nz1x29AnKtM5I6xv/gIryz9Dt10CXWDLmDNn2I0dwBjNIvxFcJwl8jn6BDuWA1She6H6Dgh/9hx0plFstklnFoZWSpY0um524t2rjWEWpPWN3Dj2u3WmxFr/r+mF2IZWxqjNjGn2vK+7NKx7AY2InnbXgvs9HgGn3M8wb6jOYYnrHC7lMLW9d0wTGzGvfs9w6XLGWFotmxdu267xpCmcP5CSr2hyQWC//6/qbFvz81j3XKdqjaG4ZrHwyc9PvU9uQ22uh6nr8M//O+G+MKXok0djm6y10zW22vmBvaavQ/QXnMjCGEJqF+skUVdsqhHFvcswQzyePkKQkrSfhuVNW3pVr+NO1zEy5UIG7MEJevetdH80prp4xdcgpKVM8hXA4b2l5B30GB230BDZ6ZPYThHbf9A5cKXVPYU1wnvbwe5ik95srBK3g1050L6W7DWvBEmiknnl+i8+DXyTzxEcPQghacfsTeF1mQLdXR8i+bY5XqVZY/mO0R6fQ5ZyBMcP4SqN0nOX77jRqNl3NfkE7DZAJWRxT0Wzn5jXRPQRsjiLkm/jbohJZ7FfVrTpwlKIwSlIUpjhwhbs6T9NuXJo+SrExit6C5ctt3lm+yMSkL6jeu0rp255X4Yo4k7i0TthU3+bt1X7rXojCs8ck6J/cVH6KsWl7uvk5kEgUPOKdBO5sm0fehK7ghlb5jx3GG6WYPTrZdJTYQv81S8MfYUTjCmD/Ju86VB9NOQDiKixhguqzesA4kxjOcPEcgiR8tPc7n7JvXk2l0/VoOhky5SckdIdJ+qZ634mslqmYRAUvRqVLwxLnZfpZvtXv2g7vRQnktweA8mLdtidIN1+CkXcEZqyFyA7vYRy51Kt5o/hJXAefS5MvuP53jwmRKFssTPSXptxeL1hOlzMV/9gybtRoa6Rdq1OuIytsfnme+1MjX/7a8dHTQQGaKeprGQsjiT8ie/WafTyAh76+9jYwyuKxjf5/PECxUOncyx92jOdr+mhpmLCZfeDXntpTatxYxsg33xfEG+5PD8D9eYPBCw50hAviDRCrqtjDOv97l2IeLbX+yg1O4MxhtBCCjVHE48WeShDxU5+GDBOloZw+UzEQvXEs6+1t9U/3YZuYJkZMrjQ99XZf/xHLVRl3zJIewqem3FW1/rcvm9kLNv9G8aFkpVh+d/eIi9hwPG9vnsPRxQqrlIB37uv9pDEuqbzuHv/Mo83/ij5k3Z1F7fcOmy4r0zKUM1yeHD28usXLlqP/vemYxOx+A6gs+9GDEydPMieXmPlu1kt0p/HngC/vDzIUmy+UW9lb1mqDoMeVNU70F7zd7CVcL6DMKxtX7G6EHjjw081M+/CixHJO0CwShF0mshHAedRCTtRbrzl1Yab9di9p0GxZEcpfE8ALUDJZxA8sZvXSAN1Urd53cijDbMvtvEL3nsfdyWrgVlj4MfHuPqt+ZZOLvNDQoY2l9i31OjOAP5JmNg4VyLpcu3b1zccB/jhPj8ZdKZeUTgI7wBTTNYm+FwY1Krw4jWv/8cwvNsA1j7zlPjg+5DjNKkM/OEp89ZR7ldwH1NPg3GphyMfTDD+nWSsH3LSUZnMSqLb0olaJUSdxZtE5EQ5CqjpGGHNOySK4/iBgW7Ao3W6ISu3Ret0SrFAGnYtcXZ3GrCM2SxXdFufnT3Th3SMgQSKexklOqIblYn0SECSaKLpGvS0nmnRMkdRZmMSHXopAskOsJ38ggEQ/4ePCcgcAoYpclMSqZTYtHFZIpuWh/Y32mKXg3puYx4e3Glf6td3FUok5HokFB1yDllUh3RXDkXVsTaFQFSSPpZm0TtrG5oI+goRnR6qFYXtMZkmmxuCdXsYJRGt3uYKEZ1+shBcZxJs01rs/IFydShgGOPFdh7JKA26uL5AscVuJ7A8wWFksPs1ZjZyzHXzt8cXRbC6nTuO5rjyCN5Dj9sJ7BSzbWRNQOeL3F9gXtDEf5aGGPJ1gNPFtl3NGB0j0++KFfYRy7v4HqCbivj7W906TbXP69Swtgen6nDAccfK1AddSlVXVxPYAz4OcHhh/OUqg4L11KWZhI6zbuQPhTgBYKjjxQ4/niBY48VKNXssJqlhtEpD88TxKGhWNmcxEkH9h+3BPz44wXKwy65vJU78nxBvujwwBOW1IY9zezleH33urCyRY4rcByB68sVsiuE1Y+9MfK5GdHT2jp1nTmTUatK9u51cF2DcxsJJ6WM/dzZjDfeTOl2rSatEIZXX48pbaIruhM88AS88u2E9FbuqRi0Uahb2mtm99w4q9N4XaPqjcjCjUmNurFEK9l4LKpf6rDvyRErLSTAyzsUR/MMH6pgNLSu7a4M2L0EY+zxdQ+VUYmy5QeepDSepzSepzAa0F/cWlZNOoLimP1ccTiHkAKtDCpVtGf6dOejG97vYbReUdm51U6aKEZt1z1Ia9QudKGvQAhkuYgsFVHtDqrVsbWeu9CMCPc5+cQY0rCNl7fC0P3GDFFnYUeF0TpL6NWnSXoN8tVxyhPHSHpNovY8pfGDIBy6i1c2rcNUaUQWdZDDU2RpRG/h0ndUrcwyltNvC9ElutkSvay58rfkBlH3ij/OaO4gV3pv0E4X6SvbkZ9lMf2syWT+GAW3StWfQMeaTDVJdI9E3zz4NeLraKPZl38IV7x/5BMgUh2W4isM+XsAmAnt8lgKl4o3jis9Uh3TSRd3VS9Ut3vodo/0+pro+Jo8dr++PYWDyYMBP/3XJjl4Io/jwEu/16Qxn9JvKyYPBhx5OM+HP1Vh4oDP21/v8q/+0cxNY6TrCx7+SIkPf6rK8z9UY2kgEv+1P2zSWsow2tYb7j2Sw/EEnWZGHN78PBoDI3t8fu6/mmL6XMzCtYRv/FGToOBQHnL53p8cZvJQwEMfLvI//Y3L9DvhiqyUGBC+D3+myvf+5DC1UY+r5yK+/cUWjfkMPyfYdzTPYx8r8+THK4xO+Xzxd+q8/tLOIhG3guMIKsMef/Y/n2J4wiNXkLz4W3XqcyntuuL4E3lG9/g8+YkK5ZpLEt18LqQDQU7yp35xjCMPF6gMu3z7i22unouoz6WMTnqM7wt47geHOPl0iaOPFPg//j8zLFxbHYfiUHPqlQ7n3uyRKzo88UKZY48WOPFUkRd/q87MpZjm4nqmNnMpuuVQ+bv/PuTchYwnn/SoVSX5/K3JZxwbrlxV/NZv9/nil+OVmtE0hV/79d0lNL/wF+F/+5e3juwYowmzDtzSXrP9wdprfgC4+PIMhz4yjnpE4/iWfOWrHo//xGEufW2O137j/PtervJ+wWjD9TeXKI7miNopuaqPHJDPfU+OoVLD6T+6umqVeQt4BZdjn5xi/GSN/JCdk1SsiFoJM2/VWTq/Wn4lpIOXqwyCXwPB/nsZQoDnEhw9SHDsAPF7F8jmFjDR7u33fU0+jVb0Fq7gBkXy1QnKk0ctCV26usMNGqLmnHUpGp4i35gi6TVxc2WSboPO7HnUJivSuFunu3jFWnwWh6juPUl79twtV7D3KwyGSHVI9OY1LQKBKwPybpkDxcfIdHxTnWbVn8AYjS/zOINoqiM8Su4QZW+UglvDES5SOLjCx5cFhFjWU3v/xM8i1aUeXWMid5SCW8WXBVId4QiPmj+J0imNZPbuNUHtQnH3gQdyHHuswNFHC7zz9S6Xz1iyFocGlRnOvtlfITsPf7TEwRN5jj1a4PrFiH7HHpfjQrHi8IkfHWJ0ymdpJuW3/tc5nv6b8PU/bJImZiXqmC86CGFJ0UYER0pBEmrOvNbn1T9pc/m9kG5LWSKWlwQ5waGTeY49XmDyoE+nma2QraAgefoTFY4+mqdUc/mDf7XI1bMRl97tk8QGKeGdb/SoL6QcfCDHiaeKTJ+PWJpNuXYh2lVt1D2HAw6eyDEy6TF7Oebsm32++h+bdFvKulCd6jN5wOdTf2aEgw/kcb2bCdzolM/Jp4rsPZwjiTS//Y/nOf9mj6W5lCTSBDlJoeKQJobJgz4PfbjE4YcLCBkyf9VOBllqmLuaIB1BkJMcPJGjf9hqNC5cT7h+MWZpZv3EEfZvfb/WG5q33k75e3+/zZNP+hw74vLAAx7lkqBQsE1MYWRoNjXvnEq5fFnx5ZdjTr9n0+0fNJYzE3tzJ9iTe2DFXhMEeaeEFC4SyeHiE2R6vb3mhd5r74u95geBpJdx7Y0lvILL0U9MWatNCZMPD+EXPfI1n0tfn6c926c7t3kmR3oSL+dQ21ckV/EpDAdMf3uRzi0+cy9AK0Pjcoe3fvciD//IQcoTBQD2PzNGeTJP0ktZOt+mea23icQdTJwcYvRYhUd+5CDlycJKUKZ+ucvFr8wSNuJ1cmVSepSG9pP0GyRhizhMuZcYvnBdZKWEOzYMgCwV8A/tx9s7iUkV4bffJp29WUnoTnDfk8+ovUChb4XdC0NTGJWR9BorNTLAimivdH1UGtvU+ia1lEm/SdxdorLnAesTXxmzn8sSotbchlFPgDTqErUWUEmE6+cpjh4k7iySht11EVAhHYRjm2jSqLtSt3N/wdZm3th4sx4CZ0Aac04RLXPoG8iZMhmJCldSXwI5EIofpuKNk3fKtuFIyBUCarf8/hbGZzqhTxtjbM1rMLDmk8Kh6A4RqjZ91Vrn7XuvYWyvx+QBn9qoy8zlmHe/1eXKe9E6XmuMTc0/8UKZoXGXyQM+SzPJCvn0A0mp6nDowTxaGRZnEt75po0+XbuwvUWWEJDGmumzERdO9bl8enUh47hw8VRIecjl0YKkMmxT6svk0/MFhx7KMzLhIyW8+0qXaxds9HQtqqN2ePvQ91WZ2O8zvs9n5lK8q24qQ2MuU4cCCiWH5mLGu6/0uPxetBLtXbgG/Y5iYTphYl9AqXpz6r1cczj8UJ5ixaE+n/LWVzrMXInXSSO5nmDqUI9cUfLIR0pM7vdpL2Ur5NNoVq5THGjCviYb1EOGHUW3mdFubI9MRRHMz2te/FJMFEGzoVEKqlVJuWzJZ79vWFhUvPJKyrnzGS+9bCOeW00+jY1KfF8wM6u2nbAaHpIEgbVB1drQ6dru+OWIq3UuSyk4FTyRwxP+gHoKfJlHo4hVn5wssbbsM9URK0UJawtRtVntaF7783LB6vLr24GwOpGlsRxJ/87k0eJOStrPbrtWVammfrlDUPbY99QoftHF9R1KY/mVNHTUSQlKLo4nMQNRdjPQvBeAdAVuzjYtjR6rkK/5FIZzLJ5v3/PkEwO9pZjp15Y48OFx/KKHX3Sp7Cngl1z2PDq8ovmZxmrF+ag4kkM4AjeQTDxYY+JkjbEHqkjXyncl3YzWdJfrbyyR9LN107qQEj9fwWjbw6CNWlEp0NrquTpuMNg/jRoYBQgpEcJhubZXCIHWCp0lOF6wEozRKh1se4cLJtfBqZTwD+4FIXHKRYLjhxBSoJot0ulZdHd3sxf3PfnszF7ADQr4+QrDh5+gMnWM4vhBosbsQAReWM/mXInK1DHqF19n6fwrpFF3w4hSb2karRTjJ56nPHGEoDwKxhB3lujMXcDojQlX3F4kDTu0Z86SH5pi8uEXyFVHiTt1ouacfWili1esURiawvXzXPrqvyMN2+vE6u8XGLNcu3IrCJRJea/1Mt2sQT+7OU1sBt37Go0nAx6oPofEQZmUc51vEqkOqY4pesPU/Ekeqn7i7hzQLaBRpDqklc7iyoDx4BCz5jxSOAwFe2h151mILt9Eru8VCAEPPF7k8IN50thw8VTI2df7N93+zYWUM6/3SSJDoexw7LECF0+FNBbsPT+2z+fwg3mKZYezb/T56h/YVPtO0WkqvvaHTRau36CHq+H6xYh9R+1gXBnyKA+tDlV+zhKwXFEyeyXm4qmQVv3m/Tj9rR69tuLH/9I4e47keOSjine+2d2weWmnmDgQ2CikEMxcTnj95c5NqfV+W/HGyx32Hs1tSD6Hxj0efbZE2FdcvxRz/p2bG4qy1PCtL7QoDzl8/IdrPPBkkSwznH717tbnKQWNhuEP/zjijz8/4Ftr+JhhVfN6J9rX//e/UeXBEx5//i8u0ulsTd5puf/iL/+FMo8/6pFl0OkafvN3e1y6knHugr0XEh1yof8qW29jGhyTsfaawnWQvosMXIzSqDDByQ/Sq2GCzHkIR6LDFOG7SN8hbfZgG4sb13eQNcEn/8ZjZNGdpf9f+43znH9plrhz+5M4/eoCS+fbjB6pMPFgjdFjVQDyNZ98dZjJh4dQqSZqJ/TrMUkvJYv1QKJJUh7L4RVcgrKHEII0zGhe73P+SzdrVt+L6C1GXKrPUd1bZO/jIzz4g/sRAvJVnw/9wgmSbkrcSZk73bREEnjhrz9KvuYzeqxCruLjBc6KS5JKNWc+P82lr89x4eWZTfuEi7UpyiMHEI5H1F2k37xO1FvEz9cY3vMwIMiSPo2Zd8iVxggKQwT5GkrZoJl0fKLeEo3Z04zse5ygMIQQku7SZcLOAmF3gZ0Es4Tv4x/aR/kzH0d6PiZNyeoNul/+JsnFabJ6c1cycGtxX5NPC02/McPihVdRaYwT5AmKQ3aVcYNNRtKtk0VdK1+0yXnM4pCk3yIJ20jHxS8NEbUXVqOpm8JgVEr90usU2vMk/YM4bkBhaMp2yqOXMz6WzHbraJV8R9aFwiDqoBMyHVu9TiHJzGaDoj0xEoeCU6WXNWkkM0Squ9Io4AgXR3xwt+ty53vBrVHxx+lmdZRRJKpPovuDaMm9Efl08HCFR2xClvepVHMoVl0cV/CJHx3ixFPFmyK1vi/JlyTlIYewp8kV1nsg5wuS8qCxKOorGgspKrsDIfLM0G4osuTmkTrLVhU9pGMNnJYhpaAy7BJHmm5T2UjmBruRJpq4r0ki669eGXJ3bKG3GYK8pFCSxJEmCTVprG8ao5UydFtqJRJ5I7zAHk9jIaPfVptOXHFojyeODMWyQ7H8fuj7WqxYd+4yKmXJnkmHjzwd4Lms1JXWG5prM4oLFzOiNY1VpaLg489aKaZPfCyHAFwX9u8V/NmfKvLWOwm//ps9Gk1NktyZvaY/WibYM7TCrI0y61n3cuBTG3ScoeOErNnfXgOTAOEIyhP5O47IB2XfPq9bqEgyGuJeyrt/dJXW9R6dhYg9jwzj5h0cV+JIgXAEeeHjBo51Bcq0tZJ0BH7BRXpyRahdpXJlYXK/wGjDtdcXiVoJXt5h/ETNRn89gV/0cDzJ+IkaKrUD0dTDQ7g5h3zNaoIKKdCZpn65S/1Sh7MvXqdxpXNLgZo07qFVShp3cbwcpaF9eEEJYxS9xjQqS0AIyqNH8PwC0nHpd+YQwsFxPaTj4ecqlIb3I4SDSiNUFuMXhnCDIlFvaUfRTxPHxBeu0P79F63hjtaYfkhybRbV7Ow68YTvCPIJcXuBuLuEkA752hTlicN45TGk42KMQsUhWdKnO3+ZpN8aaGdufDJ1FpNFXeLOIkFpGMfPEzZniXuNTT+zDKMVrWuniXtNsiSiuvckfqGKV6iCVmityKIuUWueqDWPypL10UNj0FmCSqNb1ooao9EqQyUROst2Hmq/qzBkOibRIYFTxMsCBGJdXeSyxIlNuVvd1sAp0kkX6aSLpMYSz+XaLV/mP6BjsehmdRzpM+EdoegOkeiQSHdJdIjalFi///BEgC/zJCqyE6GAfNEhX5I4Djz1ycpt6x6zJLMd0msmEz8vKZQdhBAksaHTzO7IhlErQ7+jyDYgsFqtpvmkI9YJYEsJhbJDHGr6HbXpuKgya2WaRBrXFSv7vpvwA0GuIEliTZroDc+rVhD2Nj5OANezNZ1zVxOiW9RhZqkhTQxpbBcGucL7Rz7vFnKBYHhI8uGnfUaGJKMj9piuTGe88U7KwqI9b9ngvBYLgk98zJLPRx70eOudFNcVjI5Ijh3JMzYq+eJXIsLQkCTL9poDa81NmNFmtZ3eUJHikXFUlNihXwpMMvDd9l1MqiwxdR3SpQ7Jgt42+RJiQPIGgud3Ai/vrhM6vx1UrLn48ixRKyHpK8oTeQpDAV7eRTq2rMINHNzczfeZGYS8Vaox2pBFGUk/W7Gsvl+wcKZFbzHCyzu4gYPjOwRlD+kI3EE9q3U5geHDZStgs+wPn2jiXsr8e02ufmuRy9+YJ7uNhW0a90jCFr3WdSqjh6mOHcP1i0S9Oq35s6RxFy8oMbznUcCgs5iwPY8bFMkVhwZGNQWK1SmM1mRJnyRsURo5iOsN2wF7B0OyiRPSK9dJr1zf0XncCb4jyCcAWtO48jbN6VPMnVrWPFy+EDYCqrV1Btosdb6MNOpw4cv/aqVWVGcp+jafWYuoNU/SrVO/+LodXKQcTJBmRavNaDWw31y9U8LWPNde/2Ouv/Unq0KxG21/EImtX3rNEthdEn3dbTSSGTSa/YWHCWRhJXpoMLjCo+RZnbWleBpjFNooEhXhyoCqN2HfK1xyTonJ/ANUvLEP9HjayYKVVcJlONhHpLrMRxcJs90Rld8tVNwRhtxJ+lFrtfterkbgvvS7Da6evXWpRxxq6vMJ9blVUm0XCPZnY8DcYbmyNpDEeudStmKLAu7vRzTmNpGBLYvt3yvH8z6iVpX85b9QJgwNcWyJ5tNPBvzsT8EvD0m+/UbCV79hF+PFouRTn8xhgH/6a11+9dc6aA3lsuR/+H/WKBYkP/8zJf7J/96h3VF4wqfijVFwKpuqZMxE54j0Bp3zAoQrcQo+JlXoOMPJeYBApxnSdy0v6UUkCx3Cy4v3HfkCmHu3weL5NmdfvEZtb5GpR4cZe6BKcTRHdU8BL29rPx1PopVBp5p+IyFqJ/SWIhbPtmhd690XzUYbIWzEvPuHV7nyzQWKowFHX9jD0KEStb0lyhM53MABf1BTG2Z0FyMWz7VpXu1y4aUZ+o2YqJ3elnjCILiV9G2Npll1rRJC2EzoYFCVUqJVZjmLsZxl2XBGCAfpBKRZF6VSjM5oz58dbPPe5AIb4TuHfAJGpRgF+k7Np4whi7eTrhFrioOltYSUkiwNB8XocqXBSUgXo7ON6yWNtvWftwuiGW1t1bJ7W64hUh1EKulmdYSQDPt7KbsjNtIpBI7wSHU0iIiCNopGcg1HuJS8YabyD6DROMIh0SG9rEHRra5La+WcMgWnQuAUCZwiRXeIwMkjhWRv4UG00SiT0krnyHSCNhlVfwJPBHgyR8Ufo+BUcaV1+9hTOGm9krMWoWqT6NXB1NZ+RvRVE1f6+OTp9uuDlPsN2MDtZ/2fJYHIE8gCAolBWz1U3UMIQUFWBh/X9HVn5X4pOFXkIGIc6i7KZGgUBWknV01GIAsrWqzL+xD3NWlkcFzBwrWES+/2b5lGzVJD2NPr6heTxBD2NcYYqwladlYK83eMnazSDfR7dpDNFZ1NyZjj2OYkz5dkmSHsqS2ywK3DRlaN1Tb1xNpHfQVCWk3TzXQys9TQ72o833aqbwZnoMXq+TbNH28g27SCbWV+rUuaEHIgOySQQqIHByKFg8FedynkSp32+kaIZYFthe/Y+y9RfbTRt1WByDKYvqY4cy7l0pUMpWHPpMMDx1yOHXHpdvUK+XQcGBqS1BO4PpOxWLce9O2O5r2zGQf2ORw55JLPSVwhGfH34cs8nsyRd8ooYzU/7WJYk+p402i4yRSqHxPPt9FJhkkya+aAFfsWrgMIdJSQtvq3JZ46M3Rm+1z6+jxh6w7GbmFTvsJ1bRpACITjsHgpRKUG4XmgB9dF2mYYbiEMrjODzjK6cyE61Wht6M6HBGWPwlCA4ztIV9jGGmXQSpP0MtJ+RtRJac/2CRsxnfnwtgSsX4+ZP9Pkzd++aL9bGcJmQuPyzgTR65c6vPdH09ZbffB8LZxt0W9snQMYA1mk6C1FpGHG9LcXaE53KQznyFc9pCfhp+Dtf3+ZLFHEnZT2TJ/+UkTrep8s2rowv1n+wjUPaNy3JXjFoX2oLEY6HnGvjnT8G55j+4vKYqLuEn6ujOP6CAxp3MNkyb1S+bUlfEeRzw8KUjpIN8BxfaT0kI6LlB5hdwFjFNLxVrrkHTdHlkYYdX9KMNlsy9YE8EPVsd2kTomaP8lE/hi5gQe6MgmdtE4nXWT5idEm43p4mrHgIOO5I4znDg0E6rtc7r5JVywyEuxf990Vb5SJ/FGG/L140sfBBSHJOYaT1Y8NPt/jbPtr9LIGidJM5I9RdkcoeyO4wh9MvHbgOln9GEqnXA/PsBBdJE3idZNnamKa8Sxj+UP4MkcnXdiw63+5A9Jskmp1cCk7wwy5U7jCJTMpke5Rz64jkEx4h+15ImUuvURm7Ep5zD2AKyxRXsguE+k+mUkYcicpOjUS3ceXN9sTdluKsKcI8pKluYRLp6NtN95EPU2nma0IxA+NuTgfwAiilKG1lJHPSyo1Z1NPai+QVrYpL0gTQ7uR7ZY+8gqWU/9BQeIHAte137UWjiso16yg/0ZIYk1rKSVXkFaIfpOavSAnVmSoem1Fr705oVhuBNoKpHAH/xwybVPBrvRJB2OU7+RROkULjSs9lM7QZDjCBwxaKKTwAIPSKQWvhifztOJZMh2jbhPa7oeGL3814j/8QZ8vvmy/84lHPT776TyfeD43OA7bWCUlVMuS+hLML9iUr1J2G99+I8Hg89nvy1MoCDwZsH9gr5mahLI7TH+woCw4FZTJBpmBTdLxUUpa79F+4wo6vPOFvko1i+faLJ67w0yJ4yA9D1nIg+siHBcZBGTNNjoGEeRAa4RS4PuILENvwZUmi604entm+3WyW0Xrep/W9T4Xv3KzRfVOcO21Ja69trQr28piRRYrLn51g337KXjxH71xZ1+wks0cPJjGltB1m9dw3BzDUw+hdUaWRnTrV8mXx3H9/Gr2drCNLO7RWbrE+KFn8HJlpGOj8cuR1LtRn3k3sCtTx6OPPsrVqzdra37mM5/hN37jN/ilX/ol/sE/+Afr/jY+Ps6ZM7e2oLwjCImQDo6XQ6URZhOJpDuFdDwqw4dXGom0VnYoE+DnK7hegerIYeKwRZb2icMmWmfobZBPicQjQKPIyHBx0YPf3i9oFL2sybn217kkXiNWvS3pWmoUC9El6vE0V8SbKxESjEGZbOUfgEHRSubppU2u9U/b9xqDRlvnIAGtdJ4oWxWLrsfX6KSLOMIbRJ1XJxIziMoYNJHqrrglXeq+joNjG5iks+YTv8Ari79rval1RGbim45x4BlDO1kk1SHKqHVkWPoOXt5j7wsH0amicXaJ3vUOWZit2Yak5AyDkHR1Y6VLXgA1bxJtFHPpRVKTIJBM+oft1TYJ9ey6dYIyCeP+QYZcj1B3iU2fftoi0j2G3T1U3NE15wHOvtHHGwjEn3y6RJbAt15sbSvlvSxlFPU0EwcCnvvBGqdeef/dUJJQ8/ZXuzz04SJ7j+Q4/FCeaxciFm/omj/xZJHjT1jP5dlLMae/1bulZehOMD+dcOl0yOMfKzN5MOCx58u8/fUOcbj6PYWywyMfLVEb3Xi4bcynvPmVLs/9YI3JQ1bsf+5KQq+9Xmrp6U9WOfJwHgOcf6vP5Xc3Lp0wxsorJQPP82LVJV922CilIoXDSP6gjQiqiJH8ATwnhyfzdJNFMh0DBlfmcKS3bqFljEIKB0f6KG0XRwaNK4Mty44ZoN/XfP7FkIuXV7c9fV3x+RcjfuBTecZGV6P4glWnpjRbffKMgbk5RbutGR2R+J6N6DrSpxHP0kxmyTslmskss/F5ZuMLlN0RpoLjmzYyRrNNknoXHd079dwAwcEDCN9fLzOAINi3F+F5GKUQrovwXEyakTVbxFeu7Jon9/2F5VqWzcvY7gSOs7rZW2eSIhavvraSSscYuvXLhN0FsqSHQNJvzQ64o0ZlMd3GVduom4aInqTXvI6ULlorVBoxd/EbCGl3QKtBaeA9Zsd9K+wK+XzxxRdRa27s2dlZPvnJT/KjP/qjK68dP36c3/u931v53XHubrG8WCGfATpL7mI02qbcHceSnzhqWZ0sxwNf4AUlvKCEUsmgbiMdFMttDR4+Lh6+yKGMwiWzUkSkaNYTn7sNTTZwCdmeU0yqo9tWEixDmRRlUmLTt0bkxgw09eyMk6aL9omXLmSKTGRkQg1CPRts0AxUBhw5eI8gFoNyCGWQeSswrEO7GLCR2BthKa0jPDyZJ+eUiHSXMGvdTE6lQHqSwliRLM5wrrQ2bAIwaDs5Cg9tIpRRKJNScQpo4RDrPqlJkMLBF3kMColDamISE5KZBFd4+CKPlookC4m1/afI1sdyjCWOc5MeraWMiX0+yRMF5q7GRH1NmpiBdp8lOaWqSxxqZq/EZKlZGc/iSNNpZFy/GFMZdpg4EHD0UXv+xvZ6K5FU1xUEBYmUgrnphCzRqF1cJ6Wp4fJ7IXsOB+w5DMceKxDkJY4T2mORkMtLjjyS58DxHO1GxsJMwvzVZFc1PgGaiylzV2LiUFMd9XjgiQJLswm9lm2UyRcdJg/4jO3xCQobp9R7LcXl0yFPvlAml5c8+HQJP+hTn0tJE43nSwolh+OPF6iNebQWM+anE+rzGz9VRkOnmRH1bKp88oBP2FV0GqsakI4j6LYVaWijnFoplMlwpIcjPORAW1dKF1d4A/LporRt1rSRVW31CYWLERqDHHzOxaC2VJqaZbbOs9M1JGuCi2lq6PY0nicIAoHr2kdWOqvLyxu5RBQb0tTguqtObAJJphNi3R+UtqQkOiTREYEs4El/U293kyhUcu8RNiEdpO8jPA/V6YDWyMBH5vMI37fk0/OQvodJUnQUbbGY+C5DSpBy9fqpW5fBCMcFDEbr1RXHILonBp6xYtAVqVN78wgp7fsZlIIIWwIn/cDaliYxQthdcVyxMmY5rkBrO9at3SXHXf192SBCKWtkIYXAca3+sesJGgOHtw1hNGm8vrRADay+V39foy+Lua3FQRoN5uGNan3uA+wK+RwdHV33+7/8l/+ScrnMj/3Yj61+kesyMTGxG1+3JUgpka6H4+dRSYjO7k6a2xhFHDYpViYJ8lW6ret4fgG/OIKQ7sDP1YrJqiwm7K6mmbeCgihTpIKLBwJsbEER07dpI9L3lYC+L5DSauwVc5hMY8IYkbfdoLoXIot5hO+i2z1wHcSy8N8GA5mJU9AGUcxBpuy/nA+ZwiQpweE9GAPpldkNd0UgB372kpJrtUbHcod4r/0y9fjaze8XNuXu5l1bH5UobgwQGzQdVSfvlBlx99BRdTqqTkstUHJqCORgYaFgUIuHsRFwbdSgjs4M9svBMe5gqwrNxvXEF0+FGG049UqRE08WefBDJUYmPWYux9TnUoSAYtmhMurxyEdKTJ+P+Nf/6DqdhlpJI2eD1PUXfmOJp7+vyrOfrfLn/vMpAJ7/oRrthhVkrgy77DuWI5d3+I3/7yyN+fQmb/Y7QdTXfPPzLYYnPKYOBfyp/9s40+cj3vxKm/pchh8I9h7N8cTHK5RqDm9+pcN73+5z4dTuN0NcPRvTa2sWZxL2Hgk4/FCefFFae82G4vBDeUYmPfYcCciXnA0jrwvXE5qLGU++UOHII3l+5m9MWnvNs9aVaXRq2V6zRnMh5Z1Xupx5vc/89MapYK0M0+diFh+zUljP/1CNQw/myZclKrX3aL4keecbPa6ds4vYRPfopXWK/tAgVZ6RqB5SuJQDO74bDK70USbDDIiqNopY9UiVjcL6TgFXuiBsPeTt0OtZ4lkqCfw1/UCeJyiXJL4nCDxBqShRypAL1qge3LD5TFkvea1XR1i5ptNdMigvwLFZI2PLX95v04oNsbaT7zZQ7TbCdfEmJ8nqdXQU4Y6OWkZlDDIIEI5jszqBQLqujXp+kOlYx0H6ni0JGByr7nYxmwi7CiFxCyUbBQz7SD8AITBZinBchOMg/RzS9RCOR1Kfs4sT30cnERiD8IKBuYxLfuIAcX2OaHEGx7V2tsWypNNUGKBYlsSRIUsNWQII25dQrsmVctlKzRnUm+tBiY2VgZs64DM04vKNF7sk8Z2e450Uwd9/xBNANJvNXb0jjTE88cQTfOYzn+GXf/mXAfilX/ol/uf/+X+mWq3i+z7PPPMMf/fv/l0OHTp0y22dPXt2N3ftu/guvovv4rv4Lr6L7+K7uMs4fvz4Lf++6+TzT/7kT/jxH/9xXnrpJR599FEAPve5z9Htdjl+/DiLi4v88i//MmfPnuXrX/86w8PDm26rVhti+MBjaJ3RW7qKSiNcv8DIoSfpNa6Rhm2qex+0kSGt6C5Nk4Ytos4Swwcfw8uVyZKQ7vxF4u4S0vUpjR2iNHoQoxVZ3CPqLJH0m7h+ntq+hwDQKqW3eJWos0jSa+zm6dk2qmKEgijj4KKNrfSUSCJCWmYRxc16N6+88gr/xd/8GJ/6voCf/ekC5fLmHbQ3IssMYWj40z+xyNvv2CXf6PBJCvlRXCewjQc6w3VzdHtzNFsXGR99CN8v47oFmq2LpFmfwK/gOgGO4+M4AWnaI0raeE6ONOvT6c2SZSGum2dy7DGWGmfp9mz00T8whX94L8nVGZxiHv/gHmSpAFqTztXJlpqYJMXfN2mlq5QCKZC5AKdcImu2AIFbq2CSBGMMTrmIjmL7rzsQhBd2paw6PaJTF/j65/+ED33oQyvnQiCo+BOMBPuZyh8j0wm9rMlcdJ5WMreuE34thBQ88DOPkLYTrn7xIlmYWoHqNdstOBWG3CmG3Sl6qkVqYmLdp6dbODiMeftXrndbLZEaG42a8A4ihYM2mq5qkJiIxISMenvJiRKx7uMIG825HJ9C3VjwIODhD5fYfzzHY8+VqAy7FEoSlUEUanptxcVTIVfPRrzyhda6tPtaDI+7TBwM+OhnqvyVH/0/+eK1P4fjCWvz2FMsXk9YuJrwH//FIv2uIh1EBA48kOPZH6jx6LMl6nMp/+Nfv3zTYl8ImDoU8PjHyvzAnx/lc//HEhfeCVesPJfheoJ8UfLCjw6x90iOAw/kKJQclDJ0GhnvvdZn+lzEN/6ohVrWDb0LEBKqwy4nny7yyLNljjyct81FhpVz+cXfqfNjf2mCY48V+MK/s8fz27/+0rr7zc9JxvZ4fPT7qxx+qMDwhEu+ZAX/e62M11/uculUyLvf6m5J8H143GPqcMALf2qIkSmP2pgHxorvL86kfP7fLvHGy1sroSn7Y/hOnno4vaVa763i53+2yEc/FPDMEz7fei3h9bcSkhROHvd4/qPBSk2dygy90OBIwZFDLo3sd/nD3/0Uv/LPu/T7ttTiz/1UkRPHPZ541Odv/Nd1vv2qZCp3lHa6SKg7VLxxhrwJhrw9g2ajmFB1uBq+Q1/ZJiAhbIVOtSpXejd6fWsrqhSUS7apDCCKbJo/U5DLCfK5gSVjZgZ/Ww02OqUywg8QUqKTGJOkOKWSlf5LU3L79oMxJIsLCMfBaEW6tLjjaKU7MoI3PkZ0/gJmTT3DK6+8su6eu+sQAnd4CH/fXnLHjpBcn7H7YyA6fwHVurn5KhiZID91kKS+gHA9gqGxgTyiwAny6DRBpwlpp2FT8NLBLVbQSUTcWCA/OoX0cxidES3MkPW7FPYeJl6aI6lf46nni+SKVn1ieMyhULKNi9cvJ7QaGpUZyjWHck1SG3bodzV/7c//IT//lz4+MKyQPPrhPH4g+He/UufQiYCp/T5f/VxnFyKfN56/NfkDwaq6iIFc2Wb8wnY6KEOwygV3C16ughcUScI2WiWbWo0vo9ls3vLvu96r+mu/9ms89dRTK8QT4NOf/vS69zzzzDM88cQT/Pqv/zp/9a/+1VtszRD3Gri5ItU9J4g7S7ZRRaUUh/dhjKY5fYos7qGzhKlHvpek2yBqL9BduIxfqFIaP2xD89KlNHoQx8sRd+s0p99ZqbcY3v8oXr5MFnWt7SYwevQZ6pff/MDJp8VgsKNHxzRRg1T7+5VuD/wynldgYekUgV8h8Cs40qZ606zPYv0MvleiWBwjn6tRkKNorUiSNv1wkU53llr1AKPDJ5lffAcwjA49QC9cwAyu59pUsVEKkySkM4voUgGnViGdqwMgfQ9ZyEE+sDVnroPwXVS9jYlTTJKhun17ypS221KK9NoCwpXgSHSnb2uiSnlE4CFib8PjNhhaySztZI5LnW+vnG+zaYHpKqSUFCaK7PueQ8x8bZpocbWDVOIy5R+jky1xuv81UpNQcUbZFzxAJ6rT1XXaapHl6752sr8Uv8VyDapesx/T8ZlBk/Tqfm14fxg49c0u736ry+f/7aBL9AZZKK0NmFsX0NfnMxoLGWde6/FXfhT+1k+vyVKsNHWam3ocrp6NuHZ+lt/6/4l1TZzrdtHA9Usxs1diPv9vlyxx3GBfstTQaSr+4F8uDmR91/s+LvtR3w1nnnX7q6G5mPGNz7V45Qutdftha8gMWsG//h+uD/T8NibCSaS5djHmd35l3krpwLrO941q0m6F+nxKYyHl9Ks9m+lce25gW/WvnWRh/c7sEv7oCyEXLmZ86MmAH/r+PD/7k0UMWBODrua//LsN+qHh+Y/meOikh+vAP/ifWvzFvwo/8+NFPFeseLr/2Z8qEoaGF1+KqDc0qUm4Gp5aeQ4W4su0klmuy7M40iPTMX3VWvecBL5geFjyi79QxPcEaWr3cX5esbCk+bE/VWDvlIPrwTdeSbhwKWNmVvORZ3w+/LSP68HlKxmvvJpw4ZIiiuy2/Ykp/NEx3EqNePY6aX2R8sOPodOUrNVEeD7CcfAnpiwpjWMaX/kSOkm4rSPEBsiWlsjq9Xum81m12sQXLhGeOYcOwzWd3zfDDAIKbqE0aKjRSNcqK2S9Niq2Jixpp4FXquFWhkFlZP0u8eIMfmUIGeRsWj7I4RiNXxtB9TskSBZmMib3exx4yKe5pGg3Ui6dseUzWsPB4z4qM9TnM65dTFbUNK5dTAlygmc/lSfIS1RmmNjnMbXfY3K/h+dZpYvdOuWOZ+WtbFmrrXMt1JYXkIqHPjWJEILX//01gqJ1r2tcu9k2ebeQK41QrO6hs3iRJO7clnzeDrtKPhcWFvj93/99/tE/+ke3fF+pVOLkyZNcuHDhttuMew2E41AaO4h0PFQS0m9co1Cbwg0KVlhVZRitEMKxNyvADeTM1n4MpEGy2NpaDq6ScFyEdFBpjFa2PrMzf/GeIJ6h6ZGZDIEgJUGRve8e4mZZGN+olX8AvlekXNqD5xWRwkGpFLxBs5fQVjZCxSudsEII4qSD6/gEQRWEIMtCOr0Z0nSVnKlWl+TSdUySorp94gvTVkPPgHAGunUY29EpbeG5jiIbAXcdTDoQ4/XclYYlo9RglSwwSWrrSn0PEfi2KD/cXHTd3klbnwCMMcy9eh3pSbIoI+uvf0gN2mqfIqi5E4NotkMzm18RhV9LcG1DhBhEYlZrPTGrosMYS0WlsC5Sxhg8GWCMbSRZR0qN7Xm70+YbG5GyP29mHbkWflAhl6tRKk+xOH+KJLlF1M3YOXejfRRCkssP24J9FaNUsvqhDxBGg5V63Hg/7Lm6zT4Ojns7/uC33Nwgarg72P3z2+4YLlzK+F/+aZupSZfREUngCxotzfWZjLfeSUlSQ7tjeOXbMVLAuYsZfxF46WsxTz4+sJQ00O8bzpxP+cKXIpbqerDHa/fZWMky3UMYOVC/WH9Mvg+Fgq0xnb6meO9syvS0IsgJnnrcx3Wh1dZ0eoYD+13273M5ez5lZETS7VvC7HqCT3w8x+JSf4V8kmXoJEFHIdL38YaW3WiMHZdslxQ6jjFZigpDTHaH3csfMPGU5RJOqYQ/OYHIBcggIHfsyOC4IL5yFd29Wd9T9btEc9N2zkCs1K+CwWSZne+VGqjYKLKoD1qjEjuGx0tzpJ2m1druWzvL3uUzpL02RhvqCxlJrGk3FVHfRjqzzJDGljj2OgqtbWORSs1KOa5tzoRT3w7xA4nWhuZixvl3YXY6JYl3N7sytK9AZSKH0ZBGiqSfURzyyWJNtx4Td7PBQt+Qr3oEBYfG9f66x9T1i+TLY7ield9TWbKiOJMlfbI0RKURWRrh5Urky+N0G9NI6VAa2o8QEmM0SdjEC4oI6VAc2kte2ebpqLtAmvRXm5+2gV0ln7/+679OEAT8xE/8xC3fF0URZ8+e5eMf//htt5lFHXS+gpcv4zg+Sb9Ja+YMfr6K6+dXutqXE8tmIDshpIOUzkD83Rl02YnBxdKWcC5rbgkx6N4cRLaUorc0TRJu/4TuNhIiEm7tRnP3sUw+7f/1gOi4bo5iYRzPK6C1Io5bwGqARRs1IJ5qIHkEaWpF1F0vj5QOcexQb5wnWyM9pbt9dNeSURPGpNfm1+/ONorzPxAYqL+7wLJvs7mBSBhsyrzo1Cg5Qxg0se7TzhY2tOm0MlLLUVCz0lGsjFj5u152xhDugGwqfJmzUlbqDq2IdgUC3ytSLE0yNvEYreblW5PPW21JOBQKo8RxmzjSdtHzgR/fd7EThKEhChX/5jd7TE44jI85FIuShUXFxcspy0GyK9M3L/5e/nrMf/aXy1TL1jb2W68lnDqd8s1vx/T7G98PGuukttnt4rgCzxVoAwuLinffS1lYUhw64PLgSY8sMzRamplZxYefCZiccPA8253f6WiuXVfs2+vwyEMev/+Hq41MOknQ/T4ZtiPbyRfsa0lim26CnHW96/fQaYKKQozK7t0xbgtw8nnc4SHcsRGrUAJ4ucnBXwXZ0hK617vpGFXUR0V9buvUAeg4gk5z3WtJ62bdz35/leR2mopOUzFzNV3d9Jqg/uLsGmmONb1oSWwghnPvrG9ebjfvjtlLdTLP5AMVVKrpNWK6SzHlkYCom9FvJcTdDK2sUkm+4pKveja4skbM2PML1j/et/raadK3SjxA1K+T9JvEQJZFeEGJ8vABot4SUnqURw4CAq1Sq8zi5hBCkCuOrCoJCIHo1T9Y8mmM4V/8i3/Bj//4j1Mqldb97e/8nb/DZz/7Wfbt27dS89nv9/nZn/3ZLW1bZwlJt4Hj5UE4to5z8TJJv8nYsY/Y96iUsDlDGnYIikNUp04QlEfIlUfRSYjjBnQWL1GZOEZ16iSF2hRp1CXpNQjr13FzRYYOPk4W9cjiPmFrjiy5e2K73xkwGKMIvLLtTnTszXm78TLLIrrdGQr5UaTjk2Yh2yIP98uAbNhQZN5g6OkWfd1hMZ1eec2gb4rEOMJjsnAUWHWWyXRMpLoU3KmB+4yytp9Ckul0hYi6MqCXNojVd9Z97LoB4xOP0WxcQGURadb/Lve8j2GAOLEuR9dnFEJYdbXb6aL/m9/q8fufC3Fdy206HSvb1A93HoFqNjW9nuZX/3mXRx70+PN/psg3X00oFgTFgmBxyRD2DUkMX/pyhOcLnn7Cty5Vffv9p99LeftUyuLSatQynrtOMj9rF87rfGqx0c2BlNxyjchy2cr9jHRxiazeILk6bQ9Faxv1FAO5qGIBd3SEbGEjeTu46w+12eTn93EXbgXXl/h5hzDTJKGiV0/Y82AN4cSEnRb9ZoLjSQrDPtXJPIUhH8e1wY6VWmMvR644SnP+DFpl5MujCJlDSBcvV0GlMTLuD8hlQFAcoTx0AK1S4n6DztJl4n4TYxSVkcO4fp5O/QpJ1Cbpt5g4/BG8oEyvebPyy22Pb7dO1EsvvcT58+f5lV/5lZv+dv36dX7xF3+RpaUlRkdHeeaZZ/jc5z7HgQMHtrTtLA3pLV1FOr6t0zQalYQkQL9+zUYutSLu1lFpZO2n2gtkSZ+kWydszZNGXXQaE3cX6S54qCSy4eZBnadSCd2FS3bVmSWk/RY6vT9diHYbvf4CSdIlTfuW/KiYLOujVEKaRYNUsCBTCYPRFG00SdKxFqMY4rhFs3kRpVOEtAX1cdLePvH8DsFWU/kCgSsGMlNGoQGNJtUhgtpAINsZkH6zYo+4LLgvhHjfaoPXwvUKeF6BUslKMRk0Unr4QXnD97punlJpciXCm2UxSdKh37MuYQiB4/gUCqPkC2Pki6ODe8mlmHTJ0j5J3CGMGoPmhO/ifoNaKVvYGqwXvFqWj1xt8BE7r03N5wXFomDPpMPIiKRUsjqjUWy4cDFjcsKhUHAQApbqmjixZQPDQ5LJCYkxNi1fb9xwIPr2NqPfcdA2W4Z0cIoFnHIJ3evZEiohkHmbCjZZhu73MfG9bRf9fqN5PbQygJGi30joN1PmzrSJehlppGgvxEgpiHsZS1d6dBZjW09+w3aEwIrbqwSj1SB7NpAgE3KgWWbnjGW3RmMMKktQWYwelDWZQcG5SiNUElrxe7m21HF72DXy+cILL2za3fTP/tk/u6NtZ1GX1vX31r2mUkse670GG4Xn27MbyzT1lqbpLU0PRGvXFD1H2Iam5cr8HdbaLC9o12r63lLf19ywADPr/79T7OaiudW5svJznNzcndjtztjvvMXg2gsX6IULAHiuHXT64RJp+v465Gx2XZZ/vpX3wdpzulvXaSsQwhk0ZFktz0xHhKpD2Yzi4iOFS6YTK6CtQlzp4wpvJZr6QZD75drOvfufA0CphF53biXlsxZBrkqxOMGefR9FSjskRWGDVvMScdQmyyKkkHhekeHRk1SqBygUx/G8EqXyHrTO6PcXaTcvkyz0yL5LPu8r7FT/XAgbKFzXUCYEwnFvn7Je+6Vr3letSCYmJE8/6VOpiIG2uWGprjk1r/jZnyowOuLYznaRMb+gee2NhOc+GvD4ox6+r1lYVCSpYYdz8pax6Vi28p+NsXaM2+gUbTTO7RhC4JRL+Hv3EBw5RLa4OGiisvWbZBnS80hm51D3Cflce363PM8PYG6ItpqNXh9g7myHubPr09nnFlcDYo3+akart7TxuTMD10WMtiVz654LM2jUtEL8YiDaL6WDFsKa8wzKGG15ot1fW2uf2r6ZrR74BvgO8XbfwROyGblc6726DYyOSEZGJQ8/6DEyLBkdtYNYsSioVGwRvevaVbRStgvYrtwNYaiZmdW02pqFBc2FC4qFBcW58xlqG92tNx6G3ry0aVexnRV9tXxgRZap1blKNKgTvZsQAvJ5mJhwmJxwOHrEpVoVDA1JxkYdCnlBuWIfoN/5zRGCgZC1MZAkhiyFJDU0Gppez1Bv2OvUbGrOX8iYnVXUG5roLpTmZiblWu8Uy7FSWztrH/p6fG0lwrnWSrTkjuDJmj12HFzhk5n3ry5SSpeRsYeoDR3m0vnPkSQ2szA++TiOU1t5nxASxwkYH3+UYnmKS+f+mCwL0UYxPPIArhuw78BzzFx7hThuEUctZqa/QWPpHA88+KPUl87QWDpLHLVQ2mYssuyDro++i7h9Cdx9h2ee8Jma2hlL+8z35njxyxHJmjLpYGSC2hPP0r98hrTbBgRpq44a1Pz5w+PkJ/ZRPvEowvXQSUzzrW+SLM2RtpssLCqaLc38XB8pQQhDq2PHgDQz/PN/1cPzBFpbqaUkNSSJ4Q8/F/LSV2KMtmNFFJtN607vFGNjklpVsm+vw9SUQ6UiGB6SlMt2vhmqWXF+z7di/Y5jXceWexp+6zdGrERUZusYk9SOc0tLmm5P02oaFuuaXtewVFfMz2taLUOztfPIbdZqYc5dwBsZwq3VEIFP79XXUa02ucOHkI3mNlo6PxjkclApSw4fctm3z2FoWDIxLqlW7Lmv1QSeJ/A8CAKxEoBfluOKI2uo0OsZFhY1rZam0dCcO5+xtKS5Op2RJHdfnQOwC/b2LLnSGNWxY0TdJRwvZ5uzmtcQ0mFs/xMUKpOkSY+ou4Sfr+7qPtw35FM4YkXjyihtpUikQKX2Zzn4+/LPy12y0hFksUJnhnV+w3cwLkgJvi8YHhKUSpZojo9JRkccHnjApVaTDA9JxsYk+YKgXBIEvsBxrIuHUqwMXnFiNeGm9ig6HTsATE4oFhc1U1MOrZbtrJyfU0SxId5iJYDWdnDZ8XEKieMG+LkKYEPuady1YXYhUQPFAGM0fq6CMYYs6eEGJRvdErZQWasMlYY4bg43KBAUh5DCypxkKkbr3fdNdhwrmVIbklQrglJRMDIiGR93GBtzOHjQoVIWVKv2OuXz9hp1Y3j0EY/AX5UBSgaDdJoaWi07oTRbmvqSXSxMTjrMzSvqdUtIez3beFBvaLJd6RcwJHrjms3MJBte31SHRMpDCodURzel3Scm7OQ1Oelse9GaZYb3zmT0ura27kYsE0rPy+O4Af3eAknSQeuMJOniunmCNe/1/OKg+cyl318ky2xpR5gfoVCaoFLZixxES41RJEkXIRy0zkjTPlHUIAwbd9YVPICUUCoJ9u931vmJbxW9rrbd2xczNjFu2RDCEQjXwWSD1aIcdEGbgbqDtgtir5K33b1hislWbXyOHnEYGpKUivKWEa/3C2Fo6PU0p97NbjuRnjju8ejDG0ud3Q4feirgpa/FJGtco2SQIz+1HxX2cPJFMCA9n6zbJmks4BbL5Cb32o7pQRrRr42C0aTtJjYYZ0gTxXLZ5dpjmF+wvzjS1qUuP9/NpqHZVOscge8UjmM77wt5Qa0mKQzqTicmHKoVyeSkZGLcoVQW1Kq2RKCQt+Oa51kHnlXyaffr2rwd47LUOkKliSXVSQKNpqLfM7TbhkZT0+sbmk3N4oAoLS5posjOV93uKsEOQ7P5dTbGKpG4Dsb3Ub0+MssQaYZwXWQuGHT431vZCint+R8ZtoQe4GPPBVSrkgP7Lemv1ezcXy7Zc1+p2GY117P8QA4ihdmAfCaJJZ79vp3nOx07l0yMS+oNzbXrDvW6nUMaDfv3MLrFud0CVBYRdmwJotYZSdReVZ4JW3Ze9nKD9HqKSiOSuIOUHnHYIktDqyiks4GkZTxQGbDXK+ouorKdRazvC/IpHIGXc3BzdkJIehle3sXxJGErxvUdvLyLV3BxfAcv75D07cnxCy7duT5RO0Ely93toDewudsqfF8wMS755AsBDz/k8dnvz1GpSPL5LR0NUtrvthE2e2Mf2L9+srPkFN58K+H0eym/9TshV6cVMzNbuxOzzJLbnZIf6XjkijXGDzwDGLIsojFzCtcv4Lg+/dYs6UCqYWjiBFplNOZOUxs/Tq4wjHR84n6DOLRFy8XaHmrjxwFJErZoL67vcN9NFAqCiXGHjz3v89EP+xw96vLQgx6Oc+sMQXcGCvn1b1gWlAbByCZ+CFpbX+lvfSvl9Hspb7yZ8qUvx7Taep1f9fuFvmrRV5tHlF/4WMCzH/X52T9TWOlz2CrabcPf/K9anHo35ey5mycMIRyCXM2u+JMecdIZ1AwJup0ZhJAUS9ZmV0qPQmEMpRLCcIk066/Ua7Zal/D8IuXKPhzHv+l77gZygeDkCZf/9C+V+MHP5rb9+XdPZ7z2Wsp///9qs7S0xRlDgBN4eNUcadvWT0vfRSdWRsUtBeg4wyhN9eFJsnZE72rDvnewwP7zf7bA93wi4ORJ756w8L50WfHu6ZS/9Fcat10sf/ZTeX70h7c0cK7D6etWoP5//d866yKMTq5Afs9BhOOQ9XtgNDoKyXod5r/8B/jDoxSPnmT6d34NHUf41WGqj32YYGyS3qVzLDP67DZhuM1qU7dTs3orSGmzNcePuRw57PKx5wOOHHE5cdylUhHbfm7XtnOXimLNa2ux+YJLKZibs9G56WuKt99Jmb6mOHs24+IaPdObYMxKQ5EzPEx8ZRqyzGqaHj6IcF36r72B6r6/5Ve3g+8LymXBJz+R48GTlib94/9liGJx++fedQbnuSgYHtr4PcbYxcBbb2VcuqT40ksxr7+RcOlydkcZtai7SNRdbegKO+uVY+zvYsOM77X3XhyUJ7Lp4n7hyqs73rf7gnwWhnPseWIUrbQVjs6MJZOpYurxEYKyj190WTjTQqUaKQVByZ406QhqB8oIAWmo6C1G9Ja23+Ti+1AsSL7nkwHHjro887TP6KikUrarUs9jpVni9rj9+6Q0BAGceMBj7x6HB096TF9TXLiY8Xu/HzE/r6nXNx/pksTQ65sdr8Ad6eG4Po7r01o8T9hdIOwtUfICXL+IcDzE4Cn0ghJK2UYizy8gpMPC1VdtdNQYyiOH8PwCadwjS/pIx2Nk72PMX3mFqFff2Q7egFpVcOCAy5NPeHzoaZ+xccn4mI0IFYtiQDzFbSfnrV/DVdhrJXj4IZeDBxw++hGfH/xsjulrim+/lvCtV1MWFjXxbrtf7BCnTqV4ruDP/BQ4zvaO1/MMH/2ITxjqDcnnKjYoXzF6yxHKD8Jvu1AUPPdswNSks6P74OpVxVe+Gm8+EW+A2qN77QTdiRFDErccUHtwkqTRJ+3GJPU+TsHHLfr4tbwlpRthpQbtHmCf28Cv/2aXb357c4bqSPB8QaUsefABl/Exh8lxO239l3+3Sbe7/n7SaUxSn6fx2teIF2YAQ/HQA3jV4UFjqsZkCpNlqLBPPNCN3GnTxG4iCGB8zOHxxzwOHHB5+imPoZqkXBaMjDi2435AfnZ2ne1ndjrGDQ9L8gWPA/tdHnnYW4mATl9TLC4q3juTcf5Cxvy85uq0Wg18SImOYrK5eXQy6AoTEL37HkZrVLtjdZg/YJSKdi7/xAsBJx6wpH9yUq44BObzYkVwfvcfM4PrCI4ecZmadDh+3GVhIcf8gublr8ScOZtx5kxGtMtaorctM7yLvvH3Bfn0cg7VvUXSSGGUxiiDShU605QnCwRlHy/nUL/YwWiD40lIbVrK8SVu4OB4kqBsSKOM3mbKDpugVLI1NXv2OHzkwz4nT7p85EP+lsjMTiGETZsMD1vHjQMHXGZmFfv3OVy5orh4SSFERrutN0zxKYUlOzu+Ue1AnaUhWdK3oXatbEHygHharS8G4v22s1pIm9/pt+cAg3Q8gnwVISRaJaRJD88v4PoFK45+hygMulMPH3Y48YDHsx/1+dhzAcPDcoVw3m0IIXAdGB11GB21Rd5HDrtMTys8T9DrQfFqxvUZtWK790Fibl5zZTojDG3B+Wp09/ZwXcGxYw7vnHKQcqP6JLPSnS6EgxQSPZj0pHTt/bH6TpRObOerdK2g8SBC4zgBUjoolawvl1n+7LJBhJC75ruTywkeOG7LZrYDY2xpxuKi5tyFjHQbWZVgpIjJFDpVONLDHy5Q2DeE9Byk55DU+7hFn9xoCZlzke4HT5J2E2+9k3L5yubEQw5KaIZqknbH59ABF9+XOBU4dTq9KUJplLKkcnGWcMY2SuanDiL9ACfIIV2PZXcdozKUymyOfJuLsN3Ccnq3VpMM1SRHjrh8+EM+x465PPdRH98X23o+795+CvJ5S8AYgj2DKKkxtn5xYUExPCSplCWXryzXwNvnQsjBM5opG7CQEuE6ZAuL1u3oA4bn2VrOPXske6Ycnv2ozyMPeRw/7mK1/wWXr9sShruFZS5RqwlqNdizxyEMHdpta+GazwmUguvXFf3w7vQXvN+4L8gnEoQr8PMuKlX0GzHtmT7d+ZDagTK9+YgsVrSudQlKHtW9VeZPNzAGJk4O0brWI+1n7Hl8hO58iEq2zuZdFz7xQsDHnw/48R/NUyhaovFBRBgmJyQT4z5PPO5z9lzGH38u4t/82z5Xp9VNJCCObe2h3mHoM0269FpdkrjN0ORJSsMH6CxdwgtKKy47CIlAInBA2IhMloRoZ310Rro+RitUmmBURthdoteaJYlu7pzfDjwPnn7a4+MfC/iZny5Qq9qC7+2npHYfpZLgxAmXBx5w+dM/kufy5Yxf/eddvvVqyuXLH+wqf3FJc/mKTZ0dOeIyObF1QuN58JEP+bz7bkapKOj21t9fWiui0Lo3BUEFP6gAbZRKKJf3kC+Mrr5XJfQ6M4yNP0yhMIrvF0mSHkZn1IaO4PtlOq0rqBvKMwwGrWKkkLhunt0odHRdGBpEPZYjHVvFckry3PmMN99Kt1ejpRTScwhGi/i1PG4hQKcKlSjSXkL30hLClQTDBdy8h/S/s8jn9HWFEFuRHIMXX4rYt9fhH/y9IY4+Ar/4cyX+u3/YvOkexBik5+PkChitcEtl/KFRSkcfIhibQrje+ltmWXbmA0CxKBgfc/gL/0mBhx/y+NCHfNuBvKyAcx9gbFQyOiI5ecLDGLg+o/ib/2WLs+cyrl1XiMDHGa7h790LUiALefypSdpf+BLJ9Pb1IXcTrmuJ3k//ZJ5PfyrHA8fclWahDzqJkMsJcjnBn/vZAj/6p2wd6D/+1S5vvZ3yzW++DxEMIddHPtd59K7BDpu07wvyqVNN1ExoXu0SdxLSMCNsxKhUM3+6Yd+TGaJ2TNxJySJFbykCA3PK4AQOji9pTneJWlurM5QSHjrp8tBDHj/w/TkOH3YpFsXKSuiDwPL3eh7smXL45Cds68bp91I+94WYODYrwsxJatPuOw3Ru36BoOBTqEzi+SWktAWTWRqhVUZl9DBZGpFGHaTjorKNV7BGa3rNawSFIfLFEWuRmoYkUWfHT3etahuIfuD78ysEr1oVtsj7Hhixl6/Tsh1muSw4cMDhJ3+8wLEjKe+dyfjcFyKi6Gbv8219jzcgItpg9MB+VAqcgo8MPJJGb9POhzA0vPZ6SrEotkU+wUYAJiYcHn7I4/U3bhwEDVpntNtXAcHE1JMDaY4E6XgDyajBO41GqYRW8zJZFjMx+eTAfUbjBxXSpM/i/KmBVuwqtEppNi7iuHnGJx+nUj1IHLcI+0v0e/M7amLbv9+qIBQLAm+bo2KawhtvJly7fvMi8HbonF9caSoKAwfpOsjAQ/Vjsn6K0YZovotOFE7eI+1EqMHr3ynYyhhlAJS10Hz3vZSjj8CDJ72bpNFU2KN35RzFA8coHjxmiaXrEV67jFsogtEkjQWKh06g4whjNNLzUEnM7sTPbw8hbE3hRz/ic+yoy6MPezz2qMfoqPxA55edYO1YB9Dradotw+UrGa32QDA/SVCNJnGagRC4tSputWKJzbLF6PL2Autxv1ygb7IME0a7rmmXz8HQkOR7vyfHsWM2k7lvr0OQs41C98I1WN4Hx7H1v1JKfvgH8jx00uPIoYSXXo6ZX9g483knkI6PFxQpVvfQbV4jjTtgDEK6SMclyNesxnfSI8hV0Soj2m46mfuEfKpEE9Yjls616NejdWNE49JAB2sl95bSX1p9T9iMGTpUIT8U0L7eI2rf/kpJCeWS5JGHPT796Rzf+z05m264B7C8IhselgwNeeTzgn37HN54K13ptgY7IYbhHdR8ugFuUCQojiCkg9bK1ueoGATUxo+hVUYSlKx/+EATzOgMvU5CTxN25m1XXXXPis6YkP1tRxtsithKJh076vJTP5lnYsJheOgeCHVuAiEEQQBjYw7f9z0OUxMOhw6mvPlWwuKSptvdeTej9B2EY49dJ1ZCQbgObjmHW8qRdSN0qjYkoHFsePudlJMn3DUp7NtfDyFs/ezYiOTBkx6nTt/8PBmj6XZmMFqzZ99HrTqpSmg3L5NlEUrFKyRU64xu+zoqS9izf1XnM47bhGGdZuPiTZFPrTParSsMjZ6gXD1AoThBvzcPxhCFSzsin/v2OBw+5BAEYlt1sGYgpfLOqYzZue2vJPrXBo1ht5BRShp9kkb/O1JqabtIU0tsAA7udwbXavWEqCgkvHaJ2mMfxh8eRzgO3fOnCeev4tWGUXGETufJTey1HxjYBqvw/XEBkxLyOduR/vyzPk896fPcs8FtmyHvF3Q6Ng1/7bpaabY0mUJ1e+hwkCtWCt3rr4jNrxBLIZCFAsL3EL4PGEyckCWpTS/sEgF1XahWJYcPu/zQD+Y4ecJjz5S8JwjnZrASToLnn7M9J5PjDtPXFEmSsVTXuyrPJF0fLyhTHjpIEnXQmR2vhXRxXJ9caYQ07qGyhFxxmCyNvnPJZ38p4uLLM6hUbz7wms1/bl7p0LraHZCjW9/Argvj4w5/678o88gjHkePuATBLT/ygeL4MVugfOiQyz/91R4vvWwn6ig0NJs7JzZx2KTbWKLftgLyGOykvkzqO/OD86kH44cVsF2cfp31DiOGJOrQmDtNa+GsXc0OSOqKSO0WUakInv1IwJ/56TwfetpnaEjeUhT+XsQDD7gcPOhw9KjLf/iPIb/9uyGzs3pHEdBgpERuqsrwhw4Rz3fJejF6WRhWG7xSQLTQIZxu3PTZXs/wJ1+MePIJj+eeDchts7n78GGH7/9MwB99buOId783T9hfpL50ZvCKdb0S2DpNpVZlAPrhEmFYp9W8tPKawViv6w2IpNY28tluXbWNIsbajmqjduxu9MwzPs8/62+bABhjF3l//PmI6Q38x7e+oV16z3c6hFipvXM2WHOqfo/e5bP0r11aaSIyKrOZATFY7kpJYf8RnCBvu62nL5H1tu9NvV24Luzb6/DDP5Tn098X8NBDHvmcuO/GsFvhW68mfPOVZHU8E+CUS3iTEwSHDwEGk6akC4voKFpXNC48l9JzzyACH4RAtTvoXh+33iS5eh3du/MFguPA888FPDdQ+1huFr6fMDoqeeGFgP0HHN5+J+WX/mGbpaXd05WVg76NsLdIrjiMn6uQpX3SuLvSRKyyhDTuWgH7HeK+IJ/GsK06zZs+r8yWLAaFgEce9njwpMvDD3lMTjjkcvfuami5KalYhIMHHJ5/zscfqNJoA/1Q73yxaLSt0zTLhH/9hrI03PB1veHkb8mm0tb6cfm17eDQQUuwv//TAQ8cdxkauv9SVGAbdoSE/fscPvSMTxQbfv8PIhr1jXUzb4mBkFzaipC+g+8XwJFE15tEc228Sg6nu/HIaowloHNzmstXMo4dtcX1W0W5LNm/39m0OccsO2pshQwabfXwNind2Hj7CqUUd6pMbTV7bd3Xvn3utslnq6WZmVUsLdlGgO/i7kBK2xSyd8rh0YftINdsbzS+GYxSm3ZPL789qS8iPc9KMvU66CRaq0a0znp9N0h/rSoYG5P8wPfn+PCHfA4dcikVtxdlv5cx6OHi8hXb9b7GRAeTpqhuj3RhERn4mCQhXaxvYKcpVjemNLrbwyQpIgh2pQB2bNQ2DX/qe61E4siIDV7cC6Va24HjWLnGqUmHTMGP/FCer34t4fyFjE7nzm/W5UW/yiKEcKzqjRfYMV0rXC+P8mNcN7A/i51lHu8L8vl+YDml+8LHfb7nEzkefNDd9YFhdaDc7AbZWfe851ldyx/8bI6TJ9zBliy5GOgo7zylsxl73Tmr3fYnhIAnHvf50DM+f/ZnC3eVcG7UWb3b3+dIK53ysecDHnrQ48x7GWd1tn3yiUCFKb0LC+T3D+PXCrjlgO65ebrnFxh59ggytzn5TBK4Op3xzqmUQwe3Rz4rFUkut/160XsNrmuP5eABlwP7tz8czs0pzl/IqDfMB9aBqs1am8mN7t+NP3cvLNzkFhprhLRaiXunHE4+4PHJjwXEwMyc2ryh8jbHltTX6x0irCyfUbZOXjrWaEJg+wnuBELA1JTDww+5/Kd/uUSpZB3vvpNgjK1fP3c+46131jfd6TBCZwuodht3qIbJFNlSHXNjsaIx6DhGpBkmy8jmF0EInJpVS7kTCAEHD7o8/6zPT/9UgaFtKlpsFWaT1cpuP2tCCKpVQb4g+Mt/sYRSXTodTa+3/brzG6FVauv00wjXyyMc39Z5DizNvaCE1hleroyXKyNiCTvQHPku+RxgalLyEz9e4Ae+3xK4u9UxrZStx0wza9m2bH0WBAz023a+7aFhyQnfo92Hj37E56tfT1CDwfQemGd2hL17bITwL/xCgePH7v7tmqa2qcF17Qpzu+no7SCft407f/tvVfjyyzH/+J/0aLY0WzX7iK43UNUC/miJ3oUFOqlCeBK/WmDy0w/Reuc6Sb17y22cfi/D82I+/X25bUf5pYTnnn1/BODvFkZHHD7xQsD46M5KON4+ZQ0FsjskKHeCl19OmJlRHD7kki8IcoGgXJIEgSCfF5RK1tZ3WSfS8+7ufb0d/P2/XeN7X7jNzgg7tfm+dYobGpJca8Ov/XqP8AZNVeH5uKUKpUMP4FWGcHI3qyEYrVn4yh+hoy6OK3EDSa7kMnWiQn26T6+egIDyaEB51OfyGy2MMvh5h3473RYZrVQEjzzs8XN/rsBTT/pUK/KeUOPYbXQ6hlPvply+ktForGc/spBfSbtn9QY4kvwjD9F//c0VAfq7iXxO8H3fG/B935vjU98bUCnfzeCFXQQup8A9z7oa3q3SCs+1Lkw//3MFnnvW52//N23qdb2DQMYqlt2OsqQ/KFWRCMdZcSxML7+C1gqtUhaufHtQv/8d2u0uXA83X7J2jkqh4hDpekjXw8mX0EmEikN0mrCTk1CtCvbtc3nmKZ89Uw7F4p2NDsbYWstGUxOG1q6s37cewGFoViwbs8zWLbmunQxc196ohYJYcVgol6z941ZE7D1XUCxAuw+PPurRahtcb3lFcv+xz6EhwaFDVrT90EGXkZE7e4KXCX+rbTXo+n0rkpxl9nocPAovfikmDI1dFAzIp+PYuqxczk5+pbKd0HOBGFiv7Sxi7UiB9AyHD7ssLWmeetLn1W8n1BtbK5fQiUKFCWk7JOtE6DQb6K/anUlbfVT/1s039YZNu/d6hlzO4G8jIiMEHD58Xwwhm6JUsq5GpdL2rqEx1jJvZtZq7r4ffsyb4eo1Kz69sKhX79GixPftPVso2tfyeWu/uEw+l+9r17X/X/5ZykHt+5hDPm8XxncrSrrsRX4rGJYj9YZuT3PuYsaeY3DmXHpTrbQT5MlPHcAtVZDLNUg3zQn2d+kI/KJLdSKgWPMoj/pksUJIQa8e4/qSXMVjeE8eISFX8pg50yHqplvS3i6VBHv3WN3IB0967N/n3BXtYa2tP3sUGZLYWNUTtWrruNYitDwEp0+nyEG62XOtiL/v2cWwnYO2L6TeDw1nzma0WjfUrwuB8H2EZ7WhdRQhfB+nWLBd7WtgjCZbaiClBK1slzugpUQYhXRguyWGpZItd/jwh3xOnnCZuMNMjdLWkrTbs3NIu23tRuPY6jcrZe1Zw8hqbLsuK02Mrgf+gIxaR0SxxjhgZ3OIEGJF/caRgqee9Hj3tBX73/mYZAZNxGtO9pppJI1XAxrZZqYXW8B9MXN4hTLlQw+h45As7NGbuYhfHcEvD1M5+CDh0nV6MxeJ63PbbmIBK9nxkQ/7fPb7g10ZGLS2XZmvvZ5y8WLGa6+nnDufsbiomZ2zE9WN5MJz7cM/Oupw6JDD5LjDY4+5PPaoz+FDLkNDW7s5lweOn/ixPM9+JKBcFmgD99tiW0p47FGPT34ixy/8/O6k2vs961n86rcTrlxVnD2Xcvp0RrNpB5Ev/An83C+sd1zyXDuBF4uS/fscJicljzzi8fBDLnv3uDx4cvt1gmshhKBShqefso5Zf+vvtOh0t27LmfUTOu/O4OQ95EB6qTXbQvW2toH5eTuIzswqPN9GArcKKeGZp33iD96cZMcYGZa88HGfoeFtansOohtnz2a8/kZyR5JZd4pz5xTnzm19BwQMasVt6US1Kga+4ZJq1WoLlsuSH/nhHEcOO+yZunulFa+/ld722dbapnTnFxRzC4oXvxzzW78D7529eeLzh0YY+cj30L1wmnD2Gmlj4ab3GGPQSUSQd6hN5Dj5wiiFIZ9ePcENJKXRgHe/GJKlGiEFJ14YJVf2KNY8wl9PWbqiScLbn+9DB60pyV//z0p43rJ25O6TeKWgXtdMTyvm5hXXryvaHevH3u3auShN7bz03/y38E9+tUs+L8kFglrNytaNjlq1h2pVMjribDs622hovvCilf65EU6xiMky4mvXiS9ewikW8cbH7A6t7XbPFOFrb9tSDEcMSsZs5i5XkIi8pN/dHqM6fNjh8Ud9fv7niuR3IdqfplYn+dS7KVen7dx+9apiZkbRaFgSGt3gZOc6NgJaqQjGxhxGRyTPPONx6KDLsaMuJ094W7Tm3hyFvGDfXoe//tfK/Ot/0+fqdEYc77pC1a7iviCfwvXxy0NESYRwXCqHHsLNlxDSYemdr+MWShTG95O065hk64OwN1jt/difzvPUk3fW8rZMOL/29Zh338t47fWEq1cV3a6h1db0ezbiuRHxBOsl3A8Ns7OKVltzOsj49usJ1WpErSp4+imfhx7yePQRj7FReVvXi7FRh3LJDjAbdYXuFMKVSM/BK3qoRJH1UryiFRfO+ilu3kM4gixMV0IWxoD0JI7vkHSTTbUnl1Eq2gHx5/9ckRMn3DsasBcXFfMLmj95Meb8hczqz7VsRLrXs5HPNLNRgo2QKQbRakUYaa5cFZw6nVIpS8olwdGjHk896XHyhG1S24kbiRCCYhEOHXL5kR/Ks2fK4d//3u0LCL1qnmC0TO2J/TbKGdvJuHdxkXCL5BNsBP5rX09IU39b5BOsM8vcEjz8oMulK2pF6msjBKKAL/IUZImWWiQ1MYoMX+RwcElMhEZj2NoE44kATwQkOkKj0NvsPpqcsE1TB/a75LdZctDr2md9ZlbdHceqZU21NTI0K10ddwiDva+7PU0YQae7HPm0kTA5iIA++ohrnd2m7vgrN8Xnvxjyyqu31l5eG/mMY8PSLWyFl98cXb9MODuNSeMNc2FGKXLFgImjRRxPolO7Tdd3CIqGQs2jPBpQncgRdTPCVkb9ap9+MyW7TfNrPmdJ3X/yc0Uee8zbVeJpjOHCxYzZOc2ZMxnnzmcsLWkWlxRhaIhjiOJBNie119nogeTe4ER88Usx0rHzguvZqKfvi5WMWz4v2L/PYWRYcviww/59LqMjkr17HaRcb+JhjB1D5+YUr7+R0GzqG3eYdGkJb2QEd2SEwuOPgjZki0voTdiRn5OUaw77jwV4vkQpm4nqdzVvfX1rHvCeZ7vCf+izeT75iQDfg51m/5YtXP/Fv+px8ZLirbcSOl2bxWy1NVFoiGI7/28UbVQadGLVZ/p9w8yM4MrVzC74ipKjR6yV5/PP+Rw/5lKpbH/Cts3HhoMHHF74mI9Sht/87ZBu995ln/cH+RQC6Q0sHB2HYGgcx89jtCJuziM9D69Q2XZRcj4vBr7p9uLvBMuF1s2WZmlJ8+3XUl5/I+Fr30jodLYudWQMg1T8atfzdeycEwQQRpYEORIeetCjXBaUSpsfbz4v7oo2qZAC6Ur8ag4dZzbsX/JtXakUuEV/5T22eN8gXYmT93BzLipuohJ1y+qI4WHJ8eMujzzisWfK2XY6FGwzTaOpuXAx4/Jl67l99nzGlVtY+W28PTuAZwO70haGuXkAhe/B1WlNmtpJsVSSDA1JqpXt+y97nqDiwqOPeMSJ4QsvxrcVoZeBi1sKCCbK6DRDZ/ZmE9vs3lTKpsz27XXWcZ3bQQhBbiBDduiQy9y83pR8CiR5UcIXOQKRx8EhG0wGLh6u8EhNAgPiuaoBu6qOsFaxQuLgiwBf5FHCasduh3wKYSXVJiacbTsagU1xvncmo9G4hZGDGHzRMntaLupeS0TWyZINPiTEwIZw0AWptZ3BPBeUwiz7Y98BVsebgQ2vfXXdezodWyp0NzF9TTF9p5IFa2CMxmQpKuqj+l2Mun1asN9MEFKQhNaPPEs0QtjmozRUdBcT0kSTRoo4zG7rGleu2EXpE497HD/m3jHxNMYulPuhodsxvPV2ytVpxZtvZZw6lbK4qGncSPpugWvXN3/vcsnF4UMu42OShUWXxUXN5IRDv2/IFwT53GrtsO9Do2GYX9AsLGysN2mi2BLNLMOpVtBJgmo2MZsUt1vLUcHQuEcuL9HKPvmup7bc15LLCY4fswGBZTOC7c4j2kB9STM3rykP2QX6ufMZb7y5vdXm8poxTiBO7CpgaU2C7do1GzktFOyxT006jI3Jbc8hUtpSvSOHXTpdw+f/JCZJ1JazaO837gvyiTH2RpUSJ8iTG57E8XNoleIEeaTr28F6mzh6xOVnfrrAkcO25msn0BqaTbvK+P0/jHjt9YQk2b1wtzEQRfDSyzFf+3pM/p8LfvEvFHn6KZ9Pf98H0DVgjC3G31dFeo5dVQ9Ij3Tlys9O4JL2E0ymqR4bwa8EuEWfs//mDaLF1SjdjXAc+NjzPr/4F4rsmXJWpKO2A6XgynTG//7P+3zpyzEXL2XrNYqXVQwMt43C3gpJChcv2Wjqb/624EPPePzAZ3P89E8WKBbFjuyin3vWpt9f/krM6fcy5udvFeUxZL2I9qnrtN+dIV7orhKd7RxHAi9+MWJyQvIjP5zfURnBZz4TcPZcxuLSzfsrcfGEz6R7iJSYJXWd2IQoMiQOUjhIHDSrhesevvWGx0Eg0Cgi0xtsT1KSNfLSktnExPazZuuTghDw/HM+T+4w49Fqa/7wjyOuXduEOEkBjjOoOzToMEaWCshcAI6DGNgoiXyAyVZvTiElwvdASmTg4x/cQ7bURLU6+If2opsdkulZyNTqHLxZOuX/gtBpQtJYxC1W8EfGieevb/re5mzEG38ws57LDLRAtTIsXe1z7htLqyXzA0J6KzgO/P/Z++8wSZPrvBf8RXwufXnb3k1PT493GAw8AQLEFUEKJEUujXZFiXcp8eqK4l2JWqx0n72r1T4UIazMlXgpceVoRIoSRE8YYYDBYADMYLzraW+qu6rLV/rMz0XE/hFZ1VXd1V2Z1d1jSLx45sFMZebnv4gT57znfR+4z+Pn/+ciBw64tyQBkCTw7Hdinv1OzNe+HnHufEoUmQ1czlsFre14cOpUyqnT8K1nYoR9lCkVJXcedjlyxOUjH86wu+MK9syz0UZtz02QViroVgsRZOxcbYxdRG2CdkuTJAnNqrKBZ6c6H0fdnayUsHuXw//6/yixa5ezreY6raEdGv7df2jy4ssJn/v/wu//Yfu2vGbTM4qZy4pvfDPinrs97rvX4+9/pkguK7c1/x26w2XXLocnvx7xxjHrqPdOxLsi+EzbDeoXT1qCshCUT71kA07HIT+5H4ymvXS5J4HpwQHBvr0ujz7iUyhsz90gDA1LS5rf/s9NXngp4dz5lOTmkxKbYjVT0WoZvvakLfe124b3vde/6UacXuD4Ln7BJxjMkbYTwoUm+ckiJtW0FhrkRgs4GRcVpmQGs0hHotop7SiFxSaqnVgh9E3g+/DoIz73dDKevep4pqklf3/pKyHHjyd8+5mI+QVFmnboAo5ESIFwJG7ex+/P0pquoKJ0LVsoPMdmbbUBbdaOVQhwMh5GG1R746BpB2zD6TMp/tciajXND386x/CwJJ/rflEkhC3PDQ1KfuD7s7RaLRYXr998ZAN9gT9YoO+uSVRoqQ6tiyu0L1e63q8xUK0ZZuesP/me3dbppxfcc9Snv7+F63JNt36nJQsjTCejsPH+ByJHILK0TQPLflD0OSOAQJGQEQVSYuI0JCsLeARI4eCLLBmRYzvO3I4Ddx72ONBjxcMYWz6bm9NcmlY0mps/y8J1kcUC/u4JhOuSlquYKAGtEJlgbbHsTYxax5c4hSRBZAL8XRNE5y6hW21AYJIU3Y4QBmQhj79rAhMn6DBClatdNb+8GzA8ZD3CDx/yKOQlhby9q3FiqNUNFy/Zxc35qeuP88JxcLJ5SkfuRycxSWUFYza6fBmjKb/yDDps2+Bt/Rij1+XX17McuhD8dBx472M+Dz3ks3u3Q+CLbWc8lbIl2ldeTXjzeMIzz8Y2SJlRhGEP5iGdKpQTOKRbNB+ux+rprp6/UlCv2/Fhpay5eEkxOOAwNiY5eSrl8uXrR54yn8MdHMSfGEe1WjaLD+g4vlZuiU4DblbaZlkDrYZieT6lUUm7ynrec4/HA/d57NjhkM/1Nrdrbcvpr7ya8PIrMU89HTE7qzqfdb2ZnmGMvcaXphVpavi1f9vkgx+wUnzFQm/PkRQCz4ePfTTAD+DU6fSWxCQZt4jnZGlESx1qlGAguwNlFLVwtuftvSuCTxW1aS9OkxmaQEiH9tIMQjpIP0PfgXuJq0tElbnrCgtfjdWS2+7dDnce9nomV6/eyGpNc/FSyh/+ccj8gqJWu73Zh9UA9JVXE1ZWNBjBwQMuhYJdIb0Vun3ClUjfxfElSV0TV9sUd/WhlCaqhOTGCjieQ9KI8XMeTtalvdBERQoVJaRham3Vrt6ugEwgePhBn0OHPAYHuw+oV0vtYWhYXNR87WsRr7+xbsUnQHoOTsZDBi46UXilDLmd/STVEOHEa8Gnk/Fw8z4mUdaaMk5taCPBLQSYRF0TfIIdmObmNGEYc3lW8eADPq7rksvKtfPrFsWi5APvC3j6W3blej39SJMojDb2mCf713aS1MOegk+wlI7FJcW5cykT47Ln4HP/PpeBftvAshnPyCZkNdpolFFrJXSDwRU+gcziaBdlUhSCvNNvrVl1nbzsIyFCijmyokggskSmjYOLK/yeQ0/HgcAX7NvjbquZZmVFMz+vWFrU102cC8/FKeXxd05Yv+pMgFouo1thp/O3QzkYHrCC2mGMbrdxCnn8fbtIZuZR1br9niWUW/vBbIDMBpgkRdUbpOVqz8f/ToMQVuFj5w6HQ/s9PvT+DEMDcs02NwwNC0uKl15NOHchZXnlRuO8ACnJDO9AegGq3bjicNSBUSnVN19Ch227845ChBHCRgBXN8J0eQ6eBw8/6HP3XR6jI9tPCChlaTyz84pnn4t48usRr7yadC3BtuG4pOhw9H3UTXYGRjHMzWvm5jVvHk+tpFdRkCrLd9z8AAQyk8UdGiTYu5t4dg7dqQMLd/NrJB2BF9jgU0iII8PCdEy9svXxSwl33ely370eQ4O9BZ6rFLqlJduU+idfDDl2LLk9nO7rYHlZ02howqhNX59kZNghn3N6lmF0JDzysM/SsiaTaRNFNx88e06WnDdAO6lhjEIISSEYIdXRn93gU/oBwcAI+cl9uFnb+Y4AHUcsvvx1dBLZwaXLFIDnwg9/OsdDD/YeeK5CKfjN/9TiG09fKeu+lZieUfz+H7TI523H8ad/8Cbb5bpEXAtJ6hHnZuu2E1FpGjM1MKATRXOmhpC2bCWkXbGtz3TqZHO+Z7Eo2L3L4S//ZI6hod5vSprCd56P+dV/3eT1N2Jq65wehCPJjBUp3TFGbmc/U//lJdJmDAYGH9nd4XfZY+y/a5yB+3YQLTeJyk1UM+5kSx2M0kTlFtHK9W3eqlVDo5Hyy/+kzoc+EPB3/pdSzxpvQQC7dzu8770BSQxf/kq46fOVNiPU1BLtmfIaj1AGHircHslnakrxxS+F3HuPR7HY22+zWXjgfp8wgqe+sbGBRJFijCYhIjItWqa6jr9pSE1MbOKrmY+EpsWSmkEKBxC4eAQyi4fPbHqe1CQokk65vnuMjTrcedhlfEJS3Ibm37PfifnO8/ENkzAyn8PfuxNcx1KGlEJmswjHIZlfxh3qt+fpusicjzeRs5lOx4EkRRZzeMbgjg6hI8vjcUeHULU68aVZgj077aIreWeW1LqFENZ55u/8zyUeuj/gyB0eng9pYhtnVku+2Yzk+7/PNng8+Q27GnMcrnkv4uUFFp/6U6tML7gSQG64WQYdthFBgMxmwBiE7+PvGCeemUVVaoiMpUOYNL1SJl5d/W8SlBbygtFRyV/6kSw7Jm+uEnXxkuLkqYR/9Et1lhYVtbrZVuAJ4PgObs7D788S127c2NUrwsh0OIxbwaCqNcKz5wlPn7Ee78ZcN1mkUk3Uhkxe4geCNF2VDLwxMgEMDEh+4FPWfrlXKG0VFf7+/1rj1JmE6Rm17et+M4giOH9e8Ru/2eS552L+6ef6O9nP7rchhNXIvu8ej7/wySxPfj26caNeF0hUSCQb7Oq/F0cGOMJluTVFO9neAvjdEXx6AcHAGHGtTFxdsROXsUr8Og57kldyXbvKPnyHy44dvTWzrKJe15w6nXLipBXVfTseUK0hjODV16xUyfsfD9ZcZ24rTGeFuI6zqdaR+q/hcq4niN+ALL57l8O993j09fWeddMaXnw55uVXLPWh2dzYqCMcSWakgFcMkJ7EzXl4xQCvlFlzADKd4/b6MkjPQScK1UrwSll0nJK2YoLBPDq98bO2Oj9NTytOnU55+dWYw4d662AUwnYfHzjgUqlonvhaeK12nitsKVEIRIdcKlyH7GQf4UKdOLyxuPxmqFQ0p84kVuopkfhdDPjrsXevy8Ki5htPR9fMz6vtQmZd45BA4OCtNSHlRYmWhEh3ys0YNDZbKoXNYqQmtvJUziA5UcQXmZ4zn4ODkiNHPLJZ0ZO13moTwvkLKefO3biUpdshyeUF1HLF/q7RtHxBpdCtFmlnt8nsgg1AMwE6tu9yuriMWq6io5jowgyqUkO32sQXL4PWCNdFNZroZvd2pO9U7N3tcOiAx4P3BQgBbxyPOX0updWy5U+ETRbkc5LduxxKRblmr3nPXR5vvJmw/pU0aUJSq9x4pwJkfwnhOpYSUamCSsF1cQb6kdksV7ISdq4xaWppDtXatbwSYMcOO3719/c+fq0ijg2Viuab34p49bWE2VlLrUq1ID9ZRAYOju/iZFzSdkJrroGOU6Qrye/sQ7r2mONKSFyPSBoRxb0DVoatQzcCKB0YxAlcpCtJ2x3KkYDGVAUn65KfLCGEQEUprfkGaSteUwO4Gt0kh41SlsOczeCNj3dK7YZkfqFDLdkIxxUEGUkcahzXodjv4HQxFvUPSB6432dsxCGX6/0enD6dcvxEyplzKcsr3Zt93A4oBYtLGs9LefXVhH37XHbt7H5RszqHjIw4PPqIz/MvxhuanLqFFA5SuPhODs/J4EofR/q40sMRHo70OsmB3vGuCD4dP0N2eAcrx54hLC901cF4Pfi+oNQnOXLE7XmFulreXSlrvvpkyPHjKbOzby/h6oUXExoNw1/8wSz794p3nhe9uc6/X4U7D3u87/GATKY3v2NjrIbdV56IePEly4u6GtKVZMdLOFkPnWi8Uha/P4s/kLVacqki7dxbr5hBJ4qkGhItNclOlIjLirjcJr97EN2llNf8gubEyZSvfi1kZCi3lmHrpQx05LBrRaA9QZJc6aoWjsAJPHSqEY7EK9mWcyfj03f3Tnh9mnip9+BzpaxptewEGIam5+Dz0CGHet29fsXSrNN7wXbA+yJDIHNkZQGN9WtPxNVmEZ2Q1RhC00KjGXIm8UUGKWxDUi+El9FRyYMPeD3LK2ljecWnziScOHXjWpyuN4lOntv4xzXDcINu2Ox5fO7SDbejVipX/r1Sx+kv4U6Mki6X0c1t+nl22TH8VuDoEZ/HHg544F6fJ58O+do32vy3P2qvGUGA1UnM5QTf+5EsD93v89f/apGzi/CBxzOcPJOSrnNzMVqh2lvI8UhJdv8uhO+D0qQrZUxkm768kSGboYhi2xTm+3bB0G6TlqvoZmvTLu0DB1y+58MB+Vzvfu2r80qrbTh/IeUP/7jN8y/EtDtxmfQEpYNDBH0ZvGJAMJglXG6x8Pw0caWNm/UYe2wXju+CgeqZJRqXKqgwYeCuUaTrEK201oLT4fsmCQYyOBmPcNn+XUhBXG6TGckz/r49SEcSVUIWXpimNVtHJ9vMmhqDSRXCdXD6Sjj9/Wsf6VZ70+DT9QS5okOrrnE9wdBEdxJ2oyMOH/lwwHAXUoQbD9GOrS+8mPDNb0VMXXzrK5mboVIxJIniyadClA7YuWOVwtX9uY2NST70QZ//9DuSi0L1zP10hIfnZCllxjr73phE8WSAK4PeNtrBuyL4NColbdXwCv0I6ZJGduA2RpPUyvQykh466PLoI5bEux3Lq3LZcOJkyn/+3fYW3KO3BsZYl5V/9X80+L/+tTzve3x7D8LbBdexWpEPP+TzkQ8FPfmLA1ye1Zw/n/KFL4VrxPCrkbYT5p86vcbtSpsRrZkKtVMLq4kNG1n8fZh94gTCkfgDObxiQO3UInGlTbRYJ1pqrHXzd4NL0yn/6XdaPHC/R1+/pL+vt0mpv98K2z/4gMfZcymXOxIpTsYjGC0hXYlbzJDfP4xqxSAE2V0DNC9sz7JOaysF8ux3YuIEPvC+3p6lg/s9ohDGRiWVitWQXIXBMJOe6VixdfaHom0azCSnO93uCm0UCsV0cnrtu8tqDgEoFLEKkUhqYnltO4mJutYGzWUFe3e7vPcxv+fsyMqK5tgxex+2pZ93C1j/qtZAt0NLM9qGUsPw/iJuxqF6uUXcSlFbaFbebjz8gM9jjwR84Stt/viLLZ74ekitpllPC7eapIavPNnmxKmE8TGHex6F7/1Ilt/4ncZakNYNMuM7ye7cR7s8Awi8iTHcahW0DTx1FNvMZiaD8FyE51pv8jAinV+8pkHGZpck99/n8ZGP9G5Ru4pKRfPyKwm//Lk65y+kG3neQhAMZG0m8vQSrbk6meE8uz5+iMtfP4dOFPnxErPfvMDKm/OoyPLVdapZfmWW7Eie4p5+pGcDh8LOPipnlgiXWuR3lHC8ADfnMfroLgCicpuoEuL4Dnu//whTXzhB5cS1Yv3dQrdaxJdmUJUKdOhLOgzRzc3pS0lkqK2knKwpgqykNOBQK9844TTQL7njkMsnP5Ghv0ff9kbTcPKETRR889vROyLwXEW7bfivn29b3d2jHgMDvdkAZ7OCyQmXe+7xiCIbu/QCg0GblESHaxWmWjiPdfUTKJ2gzPZoXu+O4FMrVBQi/QyukAjPX/t7Uq/0NKgPDUkOHfTwttmJOD2TMjWVsrD49vBBNkO7Y202O6eoVN9dra9+INizx2FsVNLfL3umQSwsKN44lrC8pNb8dK+BNiTX8J02bxxKqnbUF9K+akkrJm3E6FgRJ72VOaMIFhdtV/SunYr+vt5eN9cVZLNyrfy+GnwabdBRCsZBRylJLewEnxAt1klb2xd2MwbOnU8ZHe11ZWYtG0slwa5dLkma0g43PouJuTZ7YtCb/n3939Q6bzeDDVpTk9Jr+k5KGB+XjIxI+kq9e7k3GvY9azQ21zN8S6A1Jtr+/e2bzBEUPJorEWmkbqHC5vYw0C8Z6Jd854WIy3OKlfLmF1ZrqNVt49GFiyn3PApjI7JDm+j+OXAyOYKBYVqz59BJjMhkrOSPXs2Axlb6ynUQjv1HRxGqVkeH13ZtuK51Mhofc+gr9T5+0Tn6k6dT3ngz4WyHcnD1lGZL5IakFROutHDzPkF/hyKUalsBasZEKxvHqLQVo+IA4V7pWBGuRIUpSSPCpBqD5ef7pQAVK1SkSFsJJtEkTSuXdzMQUiB8D5nL2UWTVEjtY9rhpnduteFIYCx1dwvrSSEs7WHHpNNzcAbW+e71Ywkzl29/03Cv0No6Ks3OKi5eUhQKvZ2fIwXSN+ze5TA35/QcfGqjUDolTls40seRLmFaW8vWe872e03eFcGnVilpu46TKeDmSlf+nsa0Fy5t2j19PezcYTkQQQ8e1qswBr757Zjnn4/f0g64rRBFcPZsyomTKXt2J4xOvt1H1D2KBcFHPhywa9f2fI+Pn7Blqlb71g4a0VKTaOmq8t02dqG1VSfwfesh3uvklMnYDOTSkub1N+zAoVox7VaM9K30WP3kXKcEL2ieWyKpbp8LqLUtP+Vzkh//se5/t1pqLxYk7388oNW0MmS3D73fDNe1zXn79/cu4wW2C/apb4RUKu+sCaoXTN4zQH44w8KpKnEzhbc5/CwVJYWC4My5hPJ1As/1iGPD6bN28B0alD03jDqZLH7/EKraIG1UiS/NrCUvkrmFno8/kxF86IMZ9u1dFZPveRMYDf/1821efiW5YfBjlEEn2gab2lhNWAFGaeJKeF3t5KuhU2Wzj6lGx8pykYVABg5aaVSUYmJFWAtpfK1Ka753Cs8aBMhcjmDXDjJH7kRVqmuNRq3X3iBdvLZKky1IRndYZ6ggJ+kfdlmai2nW9aavvZTw2GM+99zjbeu9Xl7R/Lffb3Np+u1eim0OreHClOKppyP27XW3lV1/8H6fJDE88dXe6BPapDbzGbUp+EO4skQjWkIbe60GsrsR/BnmfKqwRWPmnF2Jdh4svziI9IO1CHwrSGkbDSYnHHbtcnou71r5C3j+hZhXXrtx5kEWC7hD/SQz85vqmN0uHD+RUCoJfvDTt3lHUhJM7kC1WqQry1t//wYoFgUfeF/A+JjT06CRJIYzZ1OOn0g4cyZ9Ry0GrsarryZIAT/xY7meJyjPF9xzt8d3vhPjSDaUI3ViA07pObhZr+MqpbZVjl2Pmcs2u3RhKmVsVJLNdjfDCwGFouAD7/d57fWYN968qcO45fA8wXse9TmwvzfLVmMM9brh8qx1N6k3NF7WYeRgifG7+umfyCGkINvvk+33WThdY+54hdNfn0UrQ34w4PD3TNIsR+jUMHG0Hy9jB+y7v38XyxcazL5RBsDNOPSNZ9n9yAj9O3K4vkSlhriVcuxPL9EqR0QNG2TkhwP2PjLC0P4i2T4fow1prImbCS9//gJR3VpB5gZ8+nbm2ffYCHvfM0qm5OG4kriVEjcTZl4rszLVYGXqJoKMbaLdNrRDw8hwd00ijiPWZIwaDZshzO3cR+HgUZaffwovX2TwkQ9d9/d+3yBu36DVjIabokJIYRuh3v94wJ7d22tenZtTnDqT8trrCRduoF8KkBsvkJ8sMnTvOEYZVt6YI2lsPhc5WRe/EDD8wCS5sSKFnX00Dl+/K9low8rr8/ilgP47Rwn7myS1iOZcA3n1IrwnCEQmg44Tkrk5hHSsyULHSGEzgrhKDO2mwu13aTc15cWQdmPzwBMs9eGRB32O3On1/F5fmFK8eTzh1OnkhtbA1zu3t4o8ffFSyjeehh/94Rz9/b0vcg4edFhecXE7ChHbOerALVDwhym3plldtGa9EkrHVLdxLd7RwaeQNrMjhESnMUJL1vuzCsft+pSltCX3/gFJ8Qa2lNdDHEO1atPfi4s3XqHLTIA7NEC6tGLLDAIbNay+ZI60B7T6t1XrPcxaBzPAqpvQquUe0l4Lcx25j7k5q9Nof2pun+6nEHj9g4C4qeAzE0CpJNm9y72hVehmSFPDhYspc3OK6jusVHI15ucVly9LwtCQydATGd6R1qO4v1+SywkazXWNR1IgfZdgMA+OZJULrnoQk94MrZZhZUUzPa0olSTZHiorgW9pFAODkkxgFRneCXAcqyO7d6/bs3+9wWZHFhc1S8u25J4rOIwd7mNgZ578UMbKdu0tMLinQBpp6vNXss9exmH4QJF8JSBNNIWRDF5gjyFT9NcCUQA/6zC8v0TfZJbCSAbHszxllWgGduUB1oJPx5Vk+33ywwG5/gCtDI5rv1sYCjDKkMYxolPGzA0EZIoeQd4j22/362Ukfs7q9r4dqDesN/jkhMPggCSbFbbLfRMEAZSKgp2dRtHlsr0X0gvwCiWElMhMjtyu/dZacxNelJMrIG167KaPPcgISkXrg96rH/fqO7xS1rxxLGF+QW3JI5aORPrWBCOuRtQvVkiaMdKVhCsbXeOEEB1jDceW5FvxmipGuNwiacboKCVuxAhHYlJNc7ZuuaJRikkNRttmoW4TPDc6WZOm6FYbp1AAQWcOu34H/eoutTYk8fVF9a0SgmDHDofhbUj0XZ5VXJpWVKtgWC/PdbXw25V/F0IiHRvoqjTqXB9zxUoXY+dpsOe4OjDfhBtErWq4eFHRbFolkl4rtwP9kuEhh3xe0mrpbSm0SeHajncn04nFwHeyJD3amq/iHR18urkibiaPDDJ4uRJutoBw7CEHAyNIx6V+4XhXUku+L3jkIZ+dO7aXIp5fULz0cszyst7SK1UWc3i7J21HassKGatyDdP5odNXRObz6FodHcWYMEIW8qAVutGyFnxSWv6REOs4M1lkLks8M2f1/a4aFE6dTml3OkSVoufsbrcQUuKPjmG05mZii337XY7c6TI+3nv5rB3CE18NOXO2l7do9YV9a4PVStUwN685fyFl5w6XgYHuBw4h7OC6c4fD0bs8XurYtwL4Q3mykwOMfvgO2nNV0rq9G/UTszdVegcr8/Gl/x4yOnpF7LsbeJ7Vlzt0wOXQIY9jbyZvHz9yHUolyY4dDncd8Rjs4fqDnTO+/YwV+l49l/xQhsf+L4d45j+c4tn/cJp2LeauT+zk6P+wkze/NM3yhQY63ficjd5RIo01X/nl14hbKf/gY/DS589bNy3A8ST9uwq8968d4tv/9hQXXzxN3EwZOVRi5GCJ+z69l4svLPHi79ou+uZyxPEnLvPqH0yRJjYzdPADY+y4d5A97xll7niFiy8s0VyKaC5HXHpphU985l6Ko1me+ldv0lgMCeuJdfV5m9Zvx08mDA1IfvhTOaLIUK5oXn5tc1rT/r0e9x71+dFP51lowzefDUkSQ+vSWdrz06h2C6/UT1qvsPTM1wg3sdYsHjpK6c77uzYkuRH27Ha4+6jH4KAk2EafpzFw8lTKb/2nljUN2QL1ixXq51doLTTRiS2drw5ljZk3NlQ80lZC2ko4/8fHbe6CK131p3/n1U6EZ7cJ2IFGG5ozVZZfm7OBqsFqNN/Ms2FMp7Qu8AYHkYU8JoqIzk/ZhqNNHjzXE2TzdszJFx127A1o1FLC1rXHMjIiOXjQyib29/e+oPjOczHPv5AgHR8hvY4uddTpgLc7k46V45PSBSHxggK5wgiO41ErX0SpGKMVjuNjtELrFMfL2XNPWjheBhCk8fYrC622IV1QXLioyOYEu3b2NrlnMoKhQcndR11OntrcBnkrrMrkDef32kYjnZDz+2knNbZFg+rmS9/61rf4l//yX/Lqq68yOzvLr/zKr/CTP/mTVw7KGP7xP/7H/Pqv/zqVSoWHHnqIz33ucxw5cmTtO5VKhV/8xV/kS1/6EgDf933fx2c/+1n610kvXA2dRKSA57p4uSJxo4JO7agkHRcnk1snVr3FibrYjEyPnXBXjl9z7M30uqvyjbCZStlXRJYKuIMDhG+eQjdauBOjVm/NcfAmRkgXV0hm5/H37cS0Q6JT53FGhpC+RzK/iPQ8ZMbH370DHUboRmvDQLIeScJa002lqnvO8HQNYxUIvKEhig88jI6itc7k6NIUqtHdS7Z7l7OOK9VLuQSS2HCqx5coI3L4Iktb121n9ZqX+HqlSIFEdjzHJalJOp8KNCkCiSs8UpNs8CLfCnFsmJ5RDAxIBnoI5lavS3+/1Tl87Q1BvCrsbEBHCa2ZMs2zi8TlFhiIyzdTJrOo1TQvvRzzqb+QQSnTqZBtfY9Wv7Nnj8O997icOPnOCD53dnQYfa93TpjW8PobyYaFjhDg+NLa4iUanVorVq3MxtTNOtTmQ9qVmKSt1rrM16snZPt9CsMZCsMZ7vjIBKOHSqhEk+0PyPZ5eBmH9UkGL+swvK9IaTyLn3NRsWb4YJG+8RwqqW7MZporkjKYTtOaMlt6ld9uvPxaRJIa3vOIz0P3B0yMOZw4lVBvGppNs+YcVCpK9u1xGR1xqNY0ePDVr4fEiRUr11EIRqPabVrT50nqFVR4bTe1aresFNMt8CSdnHDYv9/t+t1YD60NZ86knD/fRfOqgagSkjRiy8dM1bVNQNej2nSCTHO975p13+v89/rA61at03WjTjR1kWRxCaMUqla7buOcUoY4NHg+RG3N5QsxUevqk7AYGpIcvsMj6NHhzxj7Xk9NpczMepQGJzvXSaPTGKVTjE5xvZy1ZwXyfZM2oFQxjpfF8zLkS+PEUQOVRhT7d6FUTBzWbXZUOjiOj+vn0DplZe44WvfeKLn+mOfmFKMjkl07u//d6nUJMoI9e1ymZxRL2yhYNqIlUh3hO3lraCIdlpoXiNLtzTddBZ/NZpO77rqLH//xH+ev//W/fs3n/+Jf/At+5Vd+hV/5lV/h0KFDfPazn+XTn/40zz//PMWOVcrP/MzPMD09zec//3kA/tbf+lv87M/+LL/7u7973f2qJMZojRNkEdIhadZI2zawcTM5PLV5+XkzOI7NyJRK2yu3VGuGs2dToqj7B0cGPsL38XaOE0/NYJTG3zmOarQwcYw7OYrRmnSlgjc+iq7ViTiP019EZjOoShWRCXDyObxdk6SLy+h687rPrta2+QigXjMMD23rVLuAQUcRTrGENzSMajbXss/JwnzXwefkuLOtTLRShjAyTE8rqj1093siQ172oUxMSopCrU1Cq/plEqsb6QoPR7jQcQ4XSFJjA1NfZDBGbxBM3wpJYu03D+zf3sBTLAomJmxT1qqwvPAkxhiipQbhQo2oo+1priMI3QuaTcPp0ymViiaKDNlsb+/NjkmHw4c9HKd96/i4HaeZ7aTpJsYld97p4vRYDdDakCSGs+dSZtZpyBoDaaxxXImfdzHGIF2JSjWqU7K8Gq3liNpCG5XoqzzDLYKCR7bPw897jB3uo28yd+VDA61KTNqxSBTSfn9of5GxO0pk+3yStiI/FODnPdyLDRzn7Sml94Iz51K7MLus2L3T5e4jHvcc9anVNeWKXrPdtb7vdqx480TC8B548dXYBm1GrzWd6qhNe26atNXApNc+eCpskTZqG+w2t4vRUYfdu5xtueQpBefO25LvVh3WxhjiStuWymO16bN1y3GLd6HboXU26ua7yhBHmpLrkiaGlcWEJNr8fvX3Sfbvc/B61CTW2pCk1i50cckh3zdhTWt0ilYJSsVoneIHRdKOykkmN2gtgpvLSMdDugFBth+EJE1CCv07SOM2UtrxwHE8gmwfrp9HJSFleRph9Fow2yuMseop2214DHzBjkmn57F8FWFaJ1EtBnK7cYWPFB7l8BKx2l6Vrauh+OMf/zgf//jHAfi5n/u5DZ8ZY/jVX/1V/vbf/tv84A/+IAC/+qu/yqFDh/j85z/PT//0T3Py5EmeeOIJvvSlL/Hoo48C8M/+2T/jk5/8JKdPn+bQoUOb71grtFaE5XniehmTJmsZNpMmSM/v2t3I9wR3H/UYG9teNnB5WfHSKzHN68n5XA1jiM5MWRcN3wOjkfkszmA/8cw8yaXLCNfFJCnu0MAGn1shNspAmVQRn7tIsrBMMjN3Q5PW1azY5VnFvn23p+5ulKLxxmuWtO/IDcFAt4EnwJ13ehw96vVMv7o8a92DVsrmur7nm8EVLhmRxXHGrHMOqiPpI/CErZv1OcPU9TKBzK75iFuXnRSFXgtMl8wMiek+qgpDw4kTKXff5fV2sh0MD0kOHXLxXIE/mCW/b5j8vmGcXICQgtyuwbWMRvnli9SOXVty7AVpaqVtXnktIZ+XPP5ev6f7dOROj3xekM1I4vjmpYmE7+MPjaDaTXQUoXsRd8Q+ax/9cKZn4fzFJc2FqZTz5xUL67jezeWQ53/rDDsfHOLu799NdbaFSjSt5Yi542WaK9dmdVSqt9TVVLGmvtDm6X9zgqnnNmorrmZZAQojGSaODvDIj+/nqX/1JpdeWiZpK/Y+OsL40YGezvHtRLNlOH0u5ad/bonHHw145MGAxx/LMDjgcGCvfVfCyEos/dEXW5w8nfLf/rDFH/0JmzaIpM0GjTPHrquA0rx4ltbMBUyyfbmqVRw84PDgA/62gs80NXzt6yHH3tx6DDGpZunVWcud1JtnAP8sIU0gahvuejiPVoYzb7Rp1RVRdG2nzMSEw8MP+T13gNdqhqmLKQsLimbDkOuXOK6P0A5GK4JMP44XELerJGG9c1whrpchyPZhVELcrpEkTTwvRyY7YHXHkyZha4XiwB6kdIjDOmFzhSRpo1R0Uxl3Y6yqzfg2Y5hs1jo7PvX09halnpMhcPIM5fbgSt+aexhFMylTC+d63p6o9BhG79ixg89+9rNrZfcLFy5w//3387WvfY0HH3xw7Xs/+qM/yuDgIP/6X/9rfvM3f5PPfOYzXLp0aS2oMsawc+dOfvmXf5mf+qmf2nRfp0+f7vmEvovv4rv4Lr6L7+K7+C6+i7cP100qdnDTqbH5+XkARkZGNvx9ZGSE2dlZABYWFhgaGtqQzRNCMDw8zMLC9bXVHnnkEQCcTJ7s8CSFHQeszmdnMyoKmfvOFzctr6xHoSDYu8fhj39/mHy+t6hfa8OlacXv/UGbX/rlele/8fftInvvEepPfhvhOGTuOUxycQbdjnAG+3GH+pGlIk4+R3R2ivDYSYI79uP0lXCH+nH6iuhWSOPrzyCCwJbvC3nSxWXS2Rtr0QUBfPObz/P8s9/Lj/xQ7obf3Qxpaj2Vf/CHl3jj2HWISELgj46R2bmb7IFD1F96HhVFONks4cwldPPGHBDPg2JR8u9/bYD3PhasbrJrfOWJkO88F/Orv9boqaQ74IzRL0cwgCJFmYRA5khNTFnN8+R3vsKnH/9JymqeohwkJ4uEpklqElKd4MkARzg4uCym04Sme65LPie45x6Xv/lzRT7+sUz3B91BpaKZnVP86E8sMz9/g9XzVdIlrgd+RpLJCrSGVkOTK0gcVxA2bUZSSBgcdQkygiAQnH0zIuo0rt17r8sD9/n80j/qu64O69TlP2TP5A9e8/dyRfO//cMar74W8+bxq54lKZFBgDc6hm63rZB3tbL2mTc0YrVslCKtlJGZLLlDh0lWllDNJjqOMEmCSdMbyplls3D/fT4/89N5PvX93bftr3Lennwq4vf/oM0XvhRSr1+5rsWxDI/8xAEaSyH1xZDTX59b428afYVbCdC/I8ejf/kgtbk21dkWJ5+4jFaG559/fm2MA9twNHnPAJ/6Rw/x0n85z6WXlpk7XrHHIiBT9FCxJmqkDO8vMnH3AI/+5YN89XOvc/HFJRzf4aEf28ehD40z/coKl15c5szTGzMSH/nbR+mbyPHK711gZapBYzG8crxX4X/7X0u89zGf++/rTcLm/AUrgfazP1deowHdalx97TZAyOtnmKSDcNxO5nN7KUTXtePX5365j0/9hd5FtuPYsLys+eQPLDE/by0P/87PF3n4wYCPfDDgp/7aMl9+YpvWqVvghtftFsFxYHRE8nd+vsSP/2ieX/m1Os88G/G1p7p7GKS0EnPf80MDBFlJraw49WqL8mJCs7ZKk4K+PsH/+NcK/J1fKK79rVucPJXw5f8e8h9/o8XcYkD/8EHq5YtE7cqm39943d4ef1oh4L57PT76PQF/7++Utv7BVQhDw/y85h/8P6t8+Su9P18jhYP0ZyY4v/I8qbb3cu/gI6QqZrr6yjXfr1QqN9zeO7rbfRVutkBx92FqF94kqZfRq6V2Y7YMPMGKEU9OOh03jN5gBV5TFhe752kk07OkSyvoZhsEtF54HZIEow2qXCO+OLOmM2fiBBMnRKfO2xK961kpCq1tN6CwUitI0VWH5ipxvRvB5u1COA65Q4cxStE8cQyjDU6+gD8yQrK8ZEuiN6iz5vOCAwfcnu0NV7GyYgOxXql/VbVEQ1U6XuAGg0Z2gsmMLKx9p63rRLpl5TKM7gwzhkE5gdt5ZRzh4hgXRXfd9kpDvW71SbeDXF5Yz+J1FZfsZD8ycDGpJlpqYIxh8OG9tC6t0Joug9JM7vG55z15wrZGAEFW0DfoopXhte+06Bt0yBclS3OpvWVm4yB++lSKFILFJU1/n+iJL5QJ4KPfE9Bq62uCTxlkkJkMQjrkDt2J9H3K3/gabqGI2z+ANziMSWLSeo20Vlv7nZPLIzNZ3L5+oulLRLMzNzyGfF7ysY8G7N7de6kqiuD8+ZSnno6ucc8SQiBdyZ6HR8j0+Rz9xE6EtG3Fp5+aY/FMjZlXV3ran0o0y+frPPG519n90DDv+SuH1pTWVGo4+41ZFs/UmTteoTzdxMu5lC82ePAv7eP+H95LGirSWDP7ZvWaTvtVXHh2gZFDJd73M4eJWilhNeb0N+ZZOldj+Vx3i+t3MryBYfqO3E/1zZdJKuu7KgRONkt+32EKB+5i4Wt/RNrc3vlmMoJDB12Khe2NX3NzitNnbPOqUmyrbP9nGZmcpDToopRtiguygjvuy1FdSXnxqToYuwDYv8/dlrwS2Mbc6RlFFBvSpE154SRadZvJePt4D62WIdymkInnwfCIIOg999GBPe/AyeEIB200jvDQYntWjzcdfI6NWcP5xcVFdu3atfb3xcVFRkdHARgdHWV5eXmD9qQxhqWlpbXvbAohka6L4wdI1wdj0CpFr/F1unsIcnlBX5/cKNfVJYyxgVwvXs4mSTHrhLRM68rTYpSCGMxVGSoTxZgIkFdbuOmeHvXVTYahQWvTcyd5VxAC4QcQxxilEJ6LzAQ4uZwNqreICgNfMDIk8bwb26ZdD82WoVbTPQeftsP9qgDeJLh4uMZatsYm7PBBr5X1iHQbJVIkEmXSHu+LIb6BXt1WcBwrF+b7AteDNBUEI0Xcgs0cO3kfowzBSNE2Hq3JhAj8QJBEVhc0yHYsAAXk8pJcQZLNO6g0QTqdz9dZFrZDqNY0Fy+lOI7bk+an49qKw8iwg++zQaJMZjI4uRxOJoNbKCD8ACEERuvOM+UhHImjtVWHWN1moYiQ0nb8an3DZ02ITqBwwOtJYQDsYmFu3vI8K5WNnNVMyepkOq6gvmAznyrWSFcgXcHIwRJprNaCzyRULJ6u0SrHtMoRN9JNjFspi6dr5AcDVKJxfSvErVNDu5qQhB2Xq1jTWgmZeXWFbJ+P40uSSNFaiQlrMcZAc+XaTFN1to2QgoFdBXRHvD5uJm+7xzvYqk0mEPT3O3gua00kWhniBGp1TRiaG/LupePi5ksEg7YSl1SWEa6H9AOyO/bg9Q1ai9KbOE7Ptdq7wTZ93Gt1w9ycRr3NSgPvVGhtF1tpbEhdg1Y2E7r+ekthO93z+e3NIXFsqFRscyDGoNJ3iCDxFohjQ3KdheVWkPLKHHL1eNzVvtM27aRK4BXxTc7qx6o2kbqN3e43wp49exgbG+PJJ59c43yGYcgzzzzDP/yH/xCARx99lEajwXPPPcd73vMeAJ577jmazebaf28G6Xl4uT6cTB6dJniFPoSUpB0JDaMVUWVxy2Cnv09aH+BtPKRa2y7lcuUWD87XO+ab7MxY/XmzaUhTu9q5LdAa4bk4xRImiZGZLLJQvNKRfAPkcoI9u7dnEwY2GFpc6j34vB5SEuraBgqRuVaeZRU1fa0VXLfQGlptfWNJlRvAkQLXNRRLglxZUm8K8gdGyIz34WQ9VCvGJAociXN+aa35KA41leWUekUhpUClkoUZg0ptRgEEUWgoLyn6hxz6h51rOsIbDcO3vhWTCeSau0w38FzB0bt89uyOKZUEKytXgm+3rw+32IdTKCJz+bV0q2o20FFIMD6BzGSQ+Tzhpam1ZyoYn0R4HtXnvo1q1K63a7sP14qSP/KwT7HY27OWJvDSyzHnL6TXNLUN7y8xuDuPGzi89ocXufSyzbBJRxDkXX70/3gc6Qre+ONLgNXjfPm/Xehuv5GmfKlJ+dLWA3r1cpvv/MaZ639BCPs+rhtTVp2Mzn27dyvJ243BfoeJcYdHHw4Y6Jf0d4Tbw8iwvKJ5/VjMzGXF6XNbZ6gK++8kGJlg+bmv4+YK+IMjjL7/+2jPXaJ28jV0vC7Y6FEEPAgEe3Y75HPby7otLmpOn0m3PRb8WUcUatSSodmwiwStDFIKknVKM9IR7Nrh0t+3vXsQhoa5eUX8DnbGuxrG2HdhTWqvRwghrCh/XlAsCpaXe9tOI1ogSmtMlO7GlQFSSBbqp2inNx6Hr4eugs9Go8G5c1bYWGvN9PQ0r732GgMDA+zatYu/8Tf+Bv/0n/5TDh06xMGDB/nc5z5HPp/nR37kRwA4fPgwH/vYx/iFX/gF/vk//+cA/MIv/AKf+MQnbkhKdYIcmeEJnEweFbVxMgWkl8Er2uyVThPi6vKW0gXFomBwSG7Pd9dYd5NG/d21Sm21DcsripERZ0Op9lbApCnNN9+w5dHhYWQ2j45CGq+8SFq7voXbKjIZwY4dkkywzeCzat1m3i5h7O1Aa2i3LKd2uxBAIS/JBJpaTVN+aQo3FyA8h7QeouMUBCSVK5n25fmUV59pkSY2C+56Ar2O4+d0XE8aNUVlOWVuOqHd3DgJN5uGp74RceROj/vu7W01IyXs3uXy+GMBT3ztSvnayeaQudw1NUeZyXZcUCTC9XDyBYTjrLnVtM+dwWDI7NpD5HqYVKGvU4c6dNDl3nts132vhgtxbPjWtyPObmJi4AYSJ7C2l+uzmJmSR2kiSxoqklbvkYWUV9hkN7UGFSDzWbzxIfzdY7RePIluRwjXQXdmW6eQRYcxJlXIjG+rNdFbPxO7LgwNSH7qx/IcOeyzb49LX5+0mc+OE5jSlq5Sb2QpVzTPPm8DR9/jmuAhqa5QfulbFA4cwS2UGH78e/EKfUjfZ+WlbxGvLBAtL2DSBCEdpJ+hMLkfhKB+8QTC9RFSoqPQ3ltj7Pyy7j57vmBifPuSNZWqZnom/W7m8zowGtLEcOKlFo6zqsRMJ0tpv+M4MDEhbUVzG2iHMD+vt02DervQbhvim0zSZjOCfN4mA3qZQ5VRGNVmrn4cgaUDejKLKwOgdwpLV0Pyyy+/zKc+9am1//6lX/olfumXfokf//Ef51d/9Vf5+Z//edrtNn/37/7dNZH53/u931vT+AT4t//23/KLv/iL/PAP/zAAn/zkJ/nsZz974x2vCiKrFBW1LSejc7WEdJBdTiiZQJDfJr/QGJv5CXvQ93wnII6tSPPwEHCrteaNIW3UcfJ5pOchPL8j9Bx3NWt6nqVBbNeBaWjQYc9uq9l6qwPQu47cHhq041i+ZF+PNnxXw/c7zlXGEC3Uid0W0nNQYYJJFDpJN9AFotAQhVcFQtcxeorahkbtWrpBHBumLiqWVxStliabFV1ROVa/MjQkueOQxzeejljNK+skRUYRJo5Jq1XLczarNBGJDtt2H6uleK3Q7TZptYxRGrdQstL/ne9s9iBMTDjs2e3iuvTE905T6zd+7rxieRMTgzRSpJFCSMgPBWu2l7nBgNJYhvpCm+byxhliNQkpbA/V2rVZPXwhwHVskBxkrlQuHMe+UqsOvEbbYGw1Zt+cBi4QvotTyOIO9yGzAUiBU8yhGm1QGpkJEJ4LxiALOXStSRp3r5t8qzA4INmz2+V9j2XYvdNy+Gp1jVJ2AQ02Mek6sGPSZWLMrC2mJ8YdLs0otBFr2UutFFF5iUyjhszkCEbGcbN5+74szpLUKqiwbc/TkUjXx82VrLyddHD8DNL1SI2x5hJCkLYbGK5QPFzHOmZtt6rUamlWypstnm0w4HmCQt5qm/q+fSa0hii2zaDLK7aCstmtktImWzKBHW98TyAlSOfKszIxLqnW7LZudLultImCYkGQzQgyGYHoLJC0tv0FcWJYWtbEkSHtUb6yWBTksoLhIYd6Q9NoGsqd62IMVJevv4CTAvr6JJlt8hfzHZegUkl2HYDerrmhWwgBuaxkfPzm5hDXpWvJOdGxE3Wkv/a3VMdrn+X9QaR2YBvKZV1dzQ984AM37FwSQvCZz3yGz3zmM9f9Tn9/P7/2a7/W08EljTLVRhknkyczMEq4MoeKbA3M7xvCDbJd+c7mcpJSydlm5tO+XFsJAb/T0GrB8rLpyQmha0iJPzyCNzKKOzyCEAK3v59gcpLKt75BPDd7w58Hge2G9Hr0p13Fz/31PH/jZ/Pb+u2NMLMAT3xpZOsv3gRuprlACEHgyysZoZb1ZRb5gGCkiHQlrekVdKLgRlmVGz3Km3yWple0VY+fSLnvXq+nhcO+vQ6OE/CffqdJpdrhkp45abnDQlqh/s6Mo5tN4maTZGXJvtvqStapeeLY2jbjxfktA6X77/N53+O96zBWa5qZGcUbx5JN3/vZNyuEtYQD7x/ngR/Zh5dxrGOKMqSR4rnfPLOhbG65VjZr7bhQLhuynUkzmxU4jn0nHMcuTo7e5fH6GwnLy5rBQet1HkVWtaPVNlSrhlJJoNT1GwuF56GjhGRuBVnI4u0YJnvvQdL5FVSlQXJ5CW/nKN7oAM5gkfD4BZovnrTZz7cwAP3492T5wHsDPvKBDC+/GvPkN0K++JU2SyuKckXbACiwAcr73xtw12GfH/wLWU7Pw0//ZIF/8r/XaKc+MrNR2aM1fZ6ovEjf3Q+T1MroKLSOR1LiFkqkjSpCSITjkrZqtrFQa7xcES/fR5rJ42YLONkC5ZMvYOIr3AvXFQwPW2WI7aBcsQYZVy8cjLHv2viY5NGHff7mzxbZs9typlttw5lzKa+8FvNv/l2D+QV1DWdPSshlBR//aJajRzzuvdtj3x6XfF5QKAjKFUNLw8//XJE/+tM2L78WcyO53HxecPddHp/4WJZ7jnocPeKRyQg8D2pVzdKyZmpa8Sv/psHZc8kGHdxu8IHHAx59OOCv/7UCT3w95BvfDPmN3252pd0spdU+LvSoXrOK9z3u897HBrv+/lsxN3SLm23h8D07j3B1/8Mm8JwsgZNnIL97gw/gKvozEzTjFVZaF3s+jndFt7v0fPy+YeLaCqozCPiFfrzSAO2VOUy6TtdkE2QCu9LZbtm93dLb5llsBxmvhJAOcdJEm3RNWL8XpKkhDG+PZ7OQEn9iEpMmNF57hbU2aeiq7O65N5f5XC0V3w647u3b9q2A69psGIDMePj9WUpHJm3mU2myuwZpnlugNdVbp3U3mLqoeOXVhKN39RZ8FgqSyQmYnHRoh+aKQ8dqSXMTrJbZr/sA3+DBdhw7Ce/Z5bBnj9vze3+xc57JdeIwnWoaSyGv/v4Uri+RruyUaG0AunS+TtS4krXJ5wX33u3RaNju5nuOSkpFO2lOTjr0lQSHDno8/c0rtATDqiuby/y8Ikk0hw95OJ0M1tCwZHlZ89TTIUlybcHBRIktq4cR7lAJWcjZlKk2IAWymAMMqtlGtyLSlTomVW955nP/XpeD+z2efzniiSdDnv52xNSllHZoiCKbCXccW6putgwnT6eMjkiG98B99/i4LmQGJykeuvuabQvXwx8asc+ZSnEyOdtsZDTL3/k6Oo4xaWznFCFx/CxOtoCbK1obZylBq2uy665r+wj8bWY+w7ahWtu8+VAIwyc+lmF2TjG/oJidVwism1IhL/jQ+wJWVjSvvZHwxJMbozStwXHh0Yd8BgYk7dDw3IsRStnPhgYlB4/C+x/PEEaGoUHJF78Sbso9PXzI5Y5DLn/ph/IMDUg8H559LiaKNUliS7dBYLOh7faNm8CuRn+/4O4jPp/8eJYD+1ye/EbI174e8p3no66l84S02eft9g1IKXpelL7T54Zu4ThWgu86BaMN8JwsnpsjUW20SdEbxmtB1iuR6O3xAN7xwadwXBw/i18axMnm0ald7rn5El6hHyEdjEhvmM3x/d4kYq5GGNnywluFwC/hSB+lbUCx3eAzim5D8NmZDbyBQaL5OcKLF2ygsLqjLsrujmuzQLeai/rnAY5rS2gATuDilazbUXt6BRWmFA+PkVRbtyX4nL2sOHEyIU3tc9WtikI2K5BSMjHusFLWVCpd1Odu4sH1XMHAgGRszOmpQWp1l5cvK06c7HDyHAfpuNaNrOMhbjSEtYTzz3TXtJMJBAf2u0xdVLRbhiOHPfr77cw3NiIZHXW4/16PZ56NCEOD44AUBteDkRGHVstSaCYmbKbH82F42OHSJcW3n+Xa4MEYK+EWRuhWhDNYsnzPZhsdRpgkRbgOJk5RaRMTRqhqg57rprcA46MO46MO//3JNs+/FPPM85tPZLW6YX4xZnYu5b2P+nzPHti3x8VxBKZQIrtz7xZ7CshmbbXEKGUl7aIQnSaoOERIF+G4SOmslSeMStcVEK4oQDiOXVC5PbplWc90Wz5vNjfnrAspOHrEY2TI4ctfbTO/oKk37DNz3z0edx/1+PAHAlwXvv6NEHWV4IPAVpW0gYVFzYmTMfWGodU0HLnT5eBROHjApVz2kQL++9euDT6FsHzpRx4K+MRHM1yaSZm5rHjhpZhyVdFsGsZGHcbHHPbucWg29Zou8OYnfuVffR9Ghx0efcTnvrs9ikXJF74c8vyLMceu1gK+AYSw1IQg6Pon30UH0hFrCYyt4EgXKRzitEWqY5S5km4XCMK0SaK2p0n7Dg8+BfmJvWSHd1DYeRC/OIDuZD6TVp2kXrE6n1tMVJkOwXa7mc9G00p8vFUYKu7Dc3NESQ2tE3SXWpLrEcdQb2i0XqVr3ySEQHiebQjJFzBK4WQyZCZ3olqtNa/ktFrGbKHh4PuCoSHRsx/vd2Gzvk6Hv+gWMwhHUj8xR/3MPDpOyUz2o2NlSVG32AP65OmEal1Tq5s1uY5uISV86IMBni84f36bQnVdYnBI8vHvzTA2JnvObhgDbxxL+NqTNqOY27WPwp33Ujh4J+2L55j94//c8/FoYxscLl5KWV7W7N3rcHlO8QPAgQMefUVBGNoJXQjYt89lYUGTrWr27nHo77Pd1dWqodFQ+L7gwlTK/Lym1dp8vadbIbodkSyUEaudTFZA2A6XQnSCAnPlIN8G+L7lER47nrC4tHXwG0aGN44nfM//wFrWq376DRrnT/a0Xx1HVmInatFeXJ08DUmjfE1K6GoLZ8cRDPTLnq1ajbF0qLBtNpW5kVLge/CVr4U8+1zMH/1pm1TZgPVPvih4/3t9ZudyfOJjGZSGOw61mbqkNtiMVmuG/+l/KbPKZFGd3xsDX/6q4Id+DJ5/MWZoyOGxR4NOFenK7x3HLhZ/8v+U556jHpdmFJ/753W++pQ1WTDaYLDDi5ACR1pu7nVzDuYKZ1kI+OiHMzz2iM/P/JUCX3oi5MWXY/7jbzWJeuypkAIGBuS2taL/PEPK7quHjWgJwUpH79r+bxUCUDq1fOht4B0efBqSRtVmPy/niWvLHYkMQxq1UVG7q6yg47DtEi9AEm8k9kvhEnhF8pkhXCfbCWoFxmjKjYukKkStknKFg+dkKWRH8NwsAolBo3VKpTmNUjHapDjSx3fzFLIjFLPjeG6G4dJBEhWSqoh2tEKUNIjT7jS1lDa3XMpD+j5usYRb6rPZTungFEuITHZtBtStJmqL4HNVb+xWy4/+ecD6S5Y2QoQjCcZK5HYNYpQmqbRQ7fi26CDHsW2+O38+BVwmJ7rPKkppsymXplVX5Z6bQbEguPuoS6nU2zOWJIa5OavtWa5oq7zjOEjfx8nkkP720izttuHkqYRKxVJhTpxKrUc3cOJkstYcMr9gr81LL1lJoXbb8NLLMWFofxcndtJ1XNsE1mhsUdkwBpTZ3Of8dt+ELlGt2WtdLHbHoXQcsSavs7hkjSaMUl0ZcFwX6+aQrZRTwN4D3++9bGuMlfjZalyenlGcOZfS2tAQZLg8p3jjWMzHPpKhVJTs3e2ysKg3BJ+rDbKbolO9m19QjAxJ+krXLs7yOcHkpMPQoEQAL78Sc3E6pVzeTCaum+fHkCSGQkFw5x0uH/5AwO5dLseOJ3znuZhXXo+3bHzaDELYLOrtpGD9WUUvV0wbjcAGnraz3aOd1qEThkrpdvXObIZ3ePAJUWXRZjlbdeLaSmfF2lukLR2u0S7sFgZbcl//4rmOTzE7xmj/neQzQ4Dt/lU6JUoatKOVteDTkR65YICx/iPkM0NI4aFNasVZ4xohNeI0xXMyFDIjTAzeQyk3geP4ONJHa4XSMQvVk9Ral7sOPrVirTx6SyAkwvdxSiXcwSF0h5zjFEtXmumFIF6Ygy0OUUqrlfddZ4+bQ1Jp2y7mnEd2sh8hBfUTc6hmdFsCC6VsIHXszYRMVvQcfB650+Pc+RTX5brdurcCpZLggfv9npUFoshw+kzK3JzaYKV5s2i1DK+9foXMtv7fn38hvuY6XJi6Mphfnt18YF8Nqrd9Dd8BgSfA4pJmfl4xPupQLIirZUk3QAprULFj0j53Fy9dR67oNgfWQlr95F7HL63t+7OVSPilGcW58+k1p7C4qHnl9YQwNORyggP7Pd44nsDyxu+tV1AQ4krSe/12OGIb2FYVGFb3VShIDu736CtKwhC++UzI7JzadiLDYBd1gwOSRx6yPM8oNvzX32vx1adCzp7b5oY7C4Buy8ffxXZxJdcZuHkyXolINde4n77Moszb5HD0VkEYw9Bd70E4LtWzr1vHIyFoL05vGYy6jljrEO4ZndKFXleWCrwiO4bvZ6l2lssrr9GOylaqA0GYNNCdmyGEJJ8ZYt/4+5lZfoWLi8+hdUouM0Q2GGDnyMOs1M8zVz5GlDRI1AVq7VkO7fgYvpvjwvy3iZMmqQpJdYzW3d/kVSmMWzYEa0VaqaIaTaKLU3hj1pM77aggyEwGb3AIHW3N/5BS3D7x+z9nSOsR5eencHKe5fVFKWnz9rl1xJHhia9F5POChx7ooe6ODQp373J5zyM+r72eULsN2rm7dzkcOOCyf5+L2+MzVq8bvvyVkIuX3jru43ZjpHdI7HjT+NMvtzg/lfJ/+5tF3E5W87kXY2p1K70DEPi2wefeu33uvMPjE9+TJQX+9b9v0L6KDuWW+insO0Lz/AmSerXnREU3EAI8v/fg0wBJurXLWb2uqVSv/VKrbZhf0KTKWJe4YSvFtB6OAwf2udx52Ha7H9znUihICkVB0Pnuj/5QjnxesLyirqkM5LKCHRMOvm8biaYubizr9wpH2ma64SHJXUc8jIFXX0/4D7/VpLrJOXaLVc3i7wafbx0yXpFSZoxy6xKrnfI5v59UJ1TDWXqNNt4Vwad03LXmIgw4XoCTzSOkQ7i0tdajkPal3G6Z1+iNq3FjNEpFuE5A4OWJkpoNEFWM1snaWmG1lJ4LBsj6/SidoHVi7ancPL6XX9PPMmiUju0/KkZLnyhpdLbdezBhzIYm9FsDrTCxQqkU3/XAtNBtq9woXAeZzSIc94aZByk7fKHv1txvGjJwcXI+wWixYzWJ1fxsxcDtCUCVhkuX0k65T3fdyCeEnSj6+uxkdPpMeluCz507HHZMWjvPXp6xNDU0W5ozZ9JNJ364LUyGPxdwHPjg+zJk13cmdy7m8JBkx6TL8JDDkcN2tTDQL2k0rQ4l2CxjsWC1YnftcBjokyxGttv56lvs+BkyoxO0Z85zu+6Y7bncBm1oNZGxxWFpvbl+q9FXOJxCWirZ+mMoFCwX9YPvz7B7l8PunQ5SdlxxUoMUUBiGelPjB1ci5/XDtZSs2R5rY3+7GWujW0gJe3Y7ZAKBUgbfs9qeo8Oyw33t/R6t18z97jzy1kEgkcIl4xU7Wp8Gz8kB2+PwvyuCTzdbID95gPbiDGnYRHo+Xr6E9AKE41re5w0i0F4ItpshVRuDzzhts1g9w/jAUYL+IyxWT1NpXqLemkPpKyW1wCuS8UoEXpGdIw+i1HodCdN1CX070AbS2+GgIQTCcfBHRkmAZGEeACebJ7N7L8nSIqrVvJ76NY7Dd1ertwheX47cjn5GPnKYcLZKUrdZZ5Nq4pXb82wpBWfPKS5cSJmb1+za2dvNHB52eP/7fL757Yj5hVublRIC7r/f5+67ekt5GmNNJFZWNC++nGza/LC+N+e76A3ZjOBf/ZNBdlxF0zDGjq3GGKSExx8L+MDjN+bVam0F+IngBz6Z5RvfCjcEME42R3bnPqpvvnTb0sPWEKD3wMfQka3dbnPX+jI6ndNbt6mdOxyO3uXxD36xRLNlmJ5J+fwftJieUVyetRnM3/ld2yX/vseC6zbrXKF0mJtOYLguPPJQwLnzCc98J+YTH8tw150eP/FjBX7ztxucONV7ydb2cGymOvld3E6YjutPf3anTZKZhKxXAq56ELvEuyL4tBp6GjeTQzgOOo1xc0Wk528ZeNrfs6Fs3iuk2LjCTFSblfp5WnG5k9kcZLh0kImBu7m4+BxhXCNOm9YJwijipMnUwrPU23PrDqrz2W0MQG/HZOkODOINDZPZvQd/ZBR/bHzt+qtaFR3H1w08b+Nh/fmE0aStiPqpeRpnFoiXG2C4rWX3VVyaVnzj6YhP/2C2p98NDkgeeshndEQyPSPWsls3CyHsRPfAfVaOplccezPhpZcTkuQ6ZVGtEK6L1z9E4Y678QeG8PoHrPxSkhBevkg4O004ewmjNk6oTqFE6ch9BOM7EFIy9yf/5ZrvgC0ZB6MTDD76QRqn3ySav0zr0jnbcJnNMfKxH0BHbaL5y9TffBXV3nzsEJ7H0Ps+hpPNIx2Xxae+SFrfWn/3diFV8K1nQ4aGrlqomNWg3nQCqy6yiZ1F9b67oNG6ltNutLaKKB3Hoqs71W8JzJXu7V5gHbm2DlqLBUl/v7iih9tBNmNdjxxHEMfW6Wi9O8+9Rz0++pEMUsI3vx3y67/d5OIltaaZujosB4G4bjImjAwLi4okNWv82uvxjrtBksAff6HNCy/FfONbIcsrmkMHXD71yQyzsynFQswLL1/Le74RVrv3v4u3FtVwlnZSIecPIIWDFC6ztTeJVWvrH2+Cd0fwqVKSlvUOlR3vXYxek8vY8vedsvl2n1chNw40xqiO7pUtvTvSI58ZIhcMkvFKKBUTp020Tu0/RtGOKtRb82t8ULA6WZsfk5U0EEJyMzJJt+P9FFJar+3OSCZ83+oKRhFptbKlzNLqwLF623oZwFd/s1p6uh14J3v9pqnZ4MtutO1k1lGKSfX2MyrbwMqK5uSphCjuzd8uCGB4WDI8LOnvu3XBp+dZu77xccnQUO+dbNPTivMX0uuvm4yx0mLjOwhGxvH6B/FKfdb+UylbgdEa1W4Sl5dtx18H0vXwh8fI7dxn0zZSbmouIj0ft9hPbt8dxOVl0mbHL7lTbciMTWLSFOl6NM+c2Dz4FBLpBeR27UcGASZNLRXmbYRWhldej9eE9W8F9t3VaTi6WlxfpahmAzebxxsYstfoqrS1MaCj9rYjGIOdT4QwPWc/pRRbDul9fYKhAXmNHm4uJxgfc3BdaDRt8Lne235gQLJjwkEbmJ1TvPxqTBhuLKkD9JXkdWXSosiwuKyII7u/3Ttdjp9Itt3DpbRdqJ49l3LiZMoLL8VIAY89GnDnYY9my3D8pG2i6lZmdm0OofdFwBU56q25t1fjnTw39AKrDdv7uSSqTaoiXGljHiEcmvHKmt1mr3hXBJ9Jo0z5+HMUdh/GK/TjuDla81NE5YWuJDZSZVdg243GXEds0ENblU9KVUiUNJgrv4HSEUnaJpcZJNUxzWiZdlIjq1o4jk8uM0Sctqi3r1hPum4WrdO1zvhVKJ1ijMJzMsTiNmZGt4FkaZFkZZm0Wul4bVeufNjFA52mVzqdt0PXUcoKTveqC9ctljbx8n6nIIyszeIqnUIn1iQ8u3OA3K4rVnErL1yg+tr0bT2WqSlFoxHxP/7VAm4PyU8hwHPhgQd8khRmv7g9geKrMTLicM9Rj7FRp6Pp29vD9eJLCd9+5gYZGCkJxnYw+vFP05o6Q3vmArVjy3j9Q3h9gxSP3EcwMkZ2514WnvhDVLNx8yfVgUli0maD9swUwfAY+f13svLc01CvXNMaLjMZ3FIfwcg4cXmJxpnja9rIbxfiBH713zVuaZn0h38C/vd/Xb/mfqWtBo3zJykevo8+z6N58YyVYtpA2tfUT76+7etibTCNDSR7gBB2keRsEYMfvcujWtOcn2pvuL27dzp8z4cy5POSqYuKl16xjVmrkFIgHUGrad2grrbOzHfK7A92lCBWytfOnStlzUsvJyyvaMZGPX74L2Y5dSbh3IV0U23SbqD0lUXzH3+hzdTFlD27XT74voCH7vc59mbC+amUxaXuxl6tIe1UKLYzjyhlx9JeFS3eyXNDL2g2dddOUlfDoDvNRTePd0Xw6WQK5Mb34BcGkH6AkA6ZgTHcIEf13Otblla0MltVgq8PYfkl6weMwCsw3n+XdcUQVrjZdws40mO5fo52VAZsY1I7KjO99CIZr8jE4FFG1MG1z2rtOdpRmVa00Y2m1rqM0sNMDN5DnDZJ0jbV5gxhXCVMal0d9ipx/LYQY4zBpCne4CDZfQdACnQYkiwvkZRXMNGNy77GWO03z+u9KaRc0fz+H7R59bVtvj03wN/7DPy//z/dXd9NsTE9fvMHdBWUMrxxLFnrElXthGihzvK3z3b2b/8vWqj3tF0hBQO78qSRIqwnJK1rZV6uRhQbKlXNmXMpdx7tYV9CYIx1W6nXNV/4Yk+Hel2MDEseesgjl+st8AxDw0rZernPz19/kBBColpNWhdO0zhznLRWQcch0fwsTr6Ak8vj5gtkJnbi9Q2C1qj29spRm0Ir2tMXkK5HMDpBMDyGSWLi5Y0uS17fAJmJXSAlab1Ge/r8miza24nVTNWt3ubVkK6HW+zDpAlKK9x80Y5X67+sta2e3cR+42Sj1W03EB2pqOv9RmvLPb73qE+xIElTKJc17bZhctLh4Qd9Hn8s4NJ0yvGTCTOX1QZnofkFK9F012GPe456/MVPZa1kE1DICx55yKY7m01DLrf53VAptNqarz8dUqtrHnvU50f+Yo677vR47Y2EZksTx3Z7/X2S0VHJk09FLCwqqrWt77DWVsf0t/5zk5/+y3n27nb5Kz+V54++0Oabz0Q0m91VtQygOpWg3hYBhmpV88qrCf/t97tvlLnpueEdhOMnEubm9HUzv05fCae/j8yBfbRef5N0cem2HMe7I/j0AzJDE0jH6ZSiWWs46mbZo7V9ULcDgR1k5LoBw5E+hewonpvHka7tVFcxcdqilVTWcSAMUdJgsXqaycF7yAdDSMe3XNCOJmicXJvZbIbLCCEZLO4lq/tJVUicNGzXey/Bp3t7Yk+w5XenUCSYnATp2K53IVDNBmqr4FPbQLJXr1ytrWbiM8/GfOFLtz6b8/c+A5//vasHpPUOIBvdQK7+zMptyTXNV/vZ1b+5dTCJIqm2Sao35xgkJPTvKhDWYlRiSEOF2aJZLU3tvbh4sbfgcxW7dzksLLq4bqcJ4yYukei4nRy50+3Z6zmMDLOzisWlLSZPIVBhi9b0edozF1CNKwG+DDJkd+4lt/sAmeExvGIfqt28pcGn0YZocQ5/aBQhHfyBIVSrcU3w6RZKBMNjYAyqVSdeWtiUX/pnF5aikLY7meeO2OWGp0Lc3KLcGFuC1V2I4l+9W6tNufnvlLKB4UC/REqXx98TsLCoaTQ1h+/wOHzQZecOh68+GXL6TMpKeWP0sLCoOXchJVWGnTtsZjGft2ow/SXJ+x+3FJmFJUWxuPkxaGPNJF5+NUZKeO+jAQ/c57F7l0MuJ6jVNK22PcbREYfduxyOn0ip13VXwSfY7OpT3wx5/D0BgwOSD38ww9nzKafPpFxo34D6sh7GjkG9ls6NsVqrp8+km4z118fmc8OfTchcDm9khOzddxFNXfrzHXwarTFJRBppy/XsdI3rLqw1wfJYWttwUQBAQKFoHUhqnZerGS5x/NIXuGYEE8BAHpEEiBBMnKB0TKO9wJnLX18LnFehjdrUoanenqMRLrBQObHld68H17XE8tuhRCFcl/yRoyRLi6w88WWMNnhDwxTvf5B4YR7VaNzwvqQK6g3Ts06blFaH7q3olpfCQQgHR3poY4X+XScDxpDqGFf6a0Hm6nfBaqFl/D7KjQtoo3BkQKLa23aBeCvg+A53fHQHy+frtKuXCWsxdKGUoDV8/RsxH/9k7/vcu8el0TDs2e0wv6Cv78rSBfI5wd7dDu97b9Bz8LmwoPiTL7RZWNz63VKtBq0Lp9HhxknIpAnNsydw80WyO3YTjO9EpwlJefk6W9oGjCa8fAl/YJi0XiW7+wBIh+a5jbaSwcgEuX2HCBcuEy3OkTasG8mfF8TlRZa+9ZUtv2fS7WeDlYJW05DNGoIeolgpLZ8zm2VTMf1qTfPCizF/9IU2tbrmr/6fC3zwfdZtKE5g6lLKf/29Fv/m3ze4fPna8eT5F2JOn0kpFQVHDnt89MMZfuAvWFH3lbLhia+22XcYPvvP6vzNny1w5x3Xn/6f/nbEseMJJ06lfOSDAUcOe/zkj+XwXIFwrCbu8rLm4qWUesMGpN3Ciu3Dv/2PDb79nMe/+OwAf/FTOe67x+cX/l6ZSlVvGYBqY22vC0VxjdbpjSAEZLLX6qN+F2893hXBp5CWRB/XllFxuMbzNCrtijgbxWy7sUEAmeBqUXSzQVJpDY4kGBnEhBGUa6g07UzixjYadX0IBmMU6iYCFtexosK3SwZNrGomSWmbKzre792UPNPU0GhoSkUBPQwCUlo/55uxSu0WgVck8Err/mLw3fyaQoFgNaNiFxTGaFrxCgaDFA6FzBhCSDwnS6V1iThtri0e3MyVYG/+eJnSRI7SeI6RQ32c/toM7WpMcSxLUPQRAuaPlymMZClN5uibzCMdm81QiaZdjph5ZRmVWAKUn/cY3Fekb0eeuJHg+BIv5yEEtCsRs6+vEDVTjNL4OY/+XXkG9hQZ3FfCy7kYY2iXY8JaTG22RXWmSdzaPHNmDFy4YD8LQ0uj6EbSbFXzM5+3wtNhmNBobO9ZdxzYv89lYsLpyTXLGKu3WK1q3jiW0KhvHXwapdFheI1dpTEG1WqikxgQyCCD9HoT4O8KWqGadcL5y3gDQ3h9A8ggY/drsKX/QhEnk6M9dY6kVuHPU+AJdChBt5dmoJWh0TT09fX6S/t8+p4gmxFrCRFj4LkXYk6fTQl8wevHEsLI8Ed/2mZwQJLPC5IEllcUM5ctPWSzYC9ODLWa5qlvRpw+k/L8izGZrEClNqN67HjM9/8QnD2X8Pt/1GJs1CGKNk/KpCnUarYZSCvDseMJY6PO2pAfa4kuFEiHJyhHp4miK9fcaNsQ9eQ3QipVzbPfiZjaxLhhpaw5dTrl3/26NQtYtZ/tJseyaiMaRYZioaebQCbgug1XNwuRyeAUC/iTE4jAZ7UipuOI6OwFdLuN6dBgRCaDU8jj75y0jbsITBSimi3iCxdtnGMMMpvBHR3FGx+l9errNr4AZCGPk8/hTU4QT10iLVeQmQB3ZARvZAgdhgjHRQS2QqxbLaLzU+gwXFOkkbmcPd5dO6/M5Y6D21e6zhneOrxLgk8HJ8iiopCkWVvLIlmuZ3eZz+Ymshxd7VtANivwvauznOtLN7YVUEiJNzGCbrYwaYpuhxiTXGnLg422GFpf8T5b74G2KuBmVvez7u9dnoTrik7m8/ZEn0ZrhOPg5PLoJEH6/hUe1RbHmCR2lT862lsKU0jI5gSud2MbvluBjN9PKTuB0jFSuDjSI/CKaJPSjsod1QKB62TQRpGqiFa0ZANMIejLTeI6GXw3Rzsuk6oQ1RlV/azLQz9xkDe/eImFkxWG9hXZ9dAI9356H/MnK6SJZuRgH32TeYQULJys0Lcjz+5HR9nz2Ciu71gf91CzdLbG4ukaUSPGKMj2++x5dJR97x+nMt3Az7kURnJIV7B8rkZ9vo263CQNDdk+nx33D7H7kVEG9xUojmUpTeRRsaI23+bicwu0q/ENg8/zneCz0dCUSrKnrHQ+b20wL0zZSXU7cCQcOeKxa6fbM40jTS3f89XXku4yr1pt7uBlDCoKMR0PQicIELcj+ATSZp32zBSZyZ14/QM4uTymYRceXt8AbqGEDDKEc9MklZWtN/hnFavl9nXjn7laamObSBXUaprRkd54o6tDeRAI8nlBO7wSfH796WupSr1aTxoD7dDw5FM3pj1dvKT4rf+8NSUkjAxnz6WbHodX8Bl5eJB9P7SH5fYUUXxle9rYzOiffDHkT27QUNhoGhrnUz77z3rjqIO9l7W6Jgx75+4GGYEf3J45xMnn8HdOUnj0YZxCwU7pUqJqddRKhUTrteBzNXAsvOcRnELeUnuqNZKFRZK5BQhDjFbIXI7sHQfIP/Qg4akzqE7w6ZaKeONjFN77HqrtkLRSReZyZA7uJ3fv3aTLywjfx+3rA0eSLi6hyhXSFY3udKM5fSX8HZMUP/BehOtiophkcWn7jjw94F0RfOo0IWlUyI3tAuFAx2ZSJRFL1eUtOU3NpqZa0dvKAQghGBqUFIuSVX0UWcgR7N+FLGQRQYBTzBFfnCNZXEFIiTs8iDc2AlKg6k3i89Oocg08h/xDR0FITJoSvn4KEfg4fQWcUhGRCZD5LPH5adKVKunCMsHhvXiTlueVzi8Rz8yTLq6wle1EJgMDA7fHP92kKY1XX8YdGiJ/5G6E46DaLeovv0ha21pPMIoMCwuaPbt7uyMCK+5cLEj6++Q1nKdbCYGw5XQnQOuUOG0SJlX7d+khpddxfHDW9Al9r0DG7yPrD5CkLWLVohktEiWNDdaoWhsaSyFGG/JDAcMH+sj0+axcbBDkPfp35BnYWySsxrRWQoyB5XM1misRx/74wtrceefHd+LnPQ58cJyLzy9Qn7MDSn4kw9C+Iq9+/hyVS00aS232PT5OfijD3T+wl9f/4DxLZ2rU5lsc+5OLXHhmge/7fz3MwqkKJ788TX2+RdJWJGFK0r5xULjq+fyVr0Z85MMB42PdR5/9fZKPfTTg2eciXn+jt/uzCtcVfOB9Pkfu7G0oMwZeeSXh9TcSarXeZVeuxoZes+1uRMotF4tJZYXGqdcp3f0ATi5P8fA9tnM7iigcPIJbKKHCNq2L50gbfzYaJHqClEjXo3TnfQQjE2THdgI2UdGen6E9c4Hm1Bnb6b7NIDRNDUtLml07t/f7/j7Jzh0O5fL1mz7e6UhaCQvPXaL85gLhyi1srOsSWlmP+rHR3u+B61jN1MEBSaWqt+1bvxm8sVEKjz5M86VXSVfKpOWyrRIag6o31rLyMpclc8dBGzh++QnSchkdRmQOHcDt76P04Q/Qeu0N4uneVUucUhF/YpzGM98hWVwirVTJ3nkHTqlE/j0P03zuReLpGXBdMnfeQeHB+6l8+QlUpYpqtig88iDu8NCtuyjXwbsj+FQJcaNCNlvADXLW3jJqdyWzBBBF0Gxts91S2M6+9Vwy4TrIUgGkwGiFqjURmQBvfMSmYrTuiB0noBTexAgi44M26DC2n6cKd3wY4bo2Pe9ITKpQtQayVMDzPTAap5i3nycKWSrgC4Eq1zDqxroX1sbsWvu5WwWjNcL1cIpFhOMgXAfVqCNWtiYnpylUq6bnl351Ys5mBYWCoFy5fWLDpsPzjNI6Sicda9QUgVzTOHOkS+CVSFWbRIUonZCkLdrRCnHa6vB0rZSWWffwGW1oV2KMNmT7A3JDAdKRVC418DIOYjAgNxjQXGzTKlstW+EIvEDi9ftr28j0+fg5l7jl43hXgj6BvS612RbVy02aSyG12RZu4DB0oIgb2O/q1BDVbWY+jTVxM6Wx1KY+17Zl/B5w/HjCo4/0lu1zPRgZkQwPOQz0C8qV3m6m40AmK9i502FwsLdVls3aKqanVfcBgJAI17OL3Q0PnkC4vp1ksHzCaxbEnWqGFRrfXN9XOi5iC06JSRNUs0HaqOHmiwSjE7QuWDkhf3gMBKTVMjpq3/by8zsRTpAhMzKJkysghCCuljufGITj4Bb7yYzvpD1zYdvXRymoNzTJNoOWbE7Q3y8R3T6yUpCfLCE9B+FI/GKAThThcpOgP4v0HXSqaV2uEZXbOBmXzEie3GiBlTfmUZE9UDdnuWOD947TvFQlKneyX1kPL++TmywhXbkm+J+2ExpTFdIwwaQdylDexyv6ZIcLSN9Beg5JMyZNr52PhCOQvkNx9wBO4CI9K5itYkW00iJcaqLC7V1Em13VPUvurc4hvicolQT1Brc0+DQqRbfbOMWCrX42GqhmC5PEmCRdFYhF5vPITMY2x1WqpEsrmDgmXVxCOA65o3cRnj23/eMwhrRcIV1eQVVrpCtlhOfhTYwhfM8eQzZjjyHwSZdXSMtlTBihqjVkLgsMbrmfm8G7I/iMQ8LlWTL9o4hsASFdosoCYXm+qyacRlNTqeptBSqy00lbyK+L4hwHWciRzi2iKjWSmQWyDx0le88h0sUVVLVBulIhuTiLOzxA4aOP4dVbqEqd9ivHUY0mCOj/wY+tBZzJrN1WOrtI8WPvxdm3A2egZIPYWhO1XMHbOUbmjj2Epy5gohsHn0FGUCrJ25L5RAjcvj7cYgmZyyGEsPqCA4MkK8u24egGiCLD4qIm2YavL0CpKBgakkzPqNsWfKY6JkxqLNXObDAGWA/PyTBYPEC9PUcrss0lYVyl2pq54baNNlRnmhhlKE3kOvzMlOmXlvDzLqXxLH2TOS6/skztcgtjoDCcZeLoAAc+NIH0JCrW5EcyJK2UqJ4g15Wck1DRrkSsXKjTWrElmuZSSG4wIFPycbxb/1A8/a2YH/yBLMZ0L7ztuYKhQYe9exwOHPB46eW4p0xQNiMY7Jcc2O8yMtJ9xtUYW+586eWEY292P/MIx8HN5UmbjY3BpRQ4ufxaqV2FbWuAcWWPGK3stel8f7NVocxkkcGNRfuNUqiwTTQ/ixgT5PYcpHbsZXQak92xl2hpjmh+xsor/RmygVnjVm9h5eeVBhh44HHC5Tna89M0zp6wvDnXo3DoLry+IXI79hIvzZNuM/hMElha6j3wWUVfSTAx4WzQjr4RHM9h4oP78EsZ3LzPwJ2jROU289++wPCDOwgGsqSthHO/9waLz18iGMwx+cH97PzeO3j2//4F2nO2rJ0bLwJw5199hDO//QoLz10CIDucp3RgiH2fPopXDECAdByaM1VO/vqLNC9XSWr2ec5NFOk/PMKODx8gM5TD78vyzN/7U2pnrm2uczIewUCW/X/pXrIjefy+DNJ1aC81mX92itlvnKd1eXvZea1hcclsu1ExyNiF78Li9u/jZkjLFcKTpym89z0YowlPnqF9/CTp0vKVOVtKvOEhhOuQLi2hm801c5bk8hwCgf+Jj+Hk89s6BpMk6GaTZGERVbXXV9fr6ELezteOA47E7etDSIluNlH1+hqXNJmbB0fi79558xfkBnhXBJ9utkhx9xEal8+izr2OwZAd2UlmcJzW5fNobjxjlSuGufntBZ9CwPi4Q3//tRO20do6y3RK4MKxjkQmSdHNNiZO7GdCIFy7ajVxYklDjrTf71gvmXZo/0msxqKQAuH79m9xgkkVyaU5ksuLaw/JjVDI2wDtdgSfQjpkdu9DNetUv/00a2q/QFIpb/FrS34/dy7ddhPYyIhk1y6H119Ptrjz20crWiFMaugbNH2lKqbcuEC6RRb6amhlqEw38DIufZM5hBREjYTlC3Um7h6gNJEj0xeQxlZ3szCSZeeDwxz44Dgv/vYZ2uWINNYc/PAkmb5rs4061aTRW9tdf2Eq5fyFlLExhx2TW5eP1+POO62o9quv9RZ87t7tcN+9Xs+qDlEEtbrmzeMx5893H3w6uTzZXftoXji9QUReOi653QfwB4YwRhMvzm3gWxqlUI265YQGGfyBEZLqte9JZmIXmfEuBnxjaF86Bxiyu/eT23OAtDmGk82RVFZonT/TdVXo7YBt05N4MkNqYrTROMJFYwN0KRyM0WgUnsh0tGE1GVlAIKkpW13xREBiNo6FwvVwi/2Ex14gnL2E6igT6DiifvoYxUN3k+3ooG4XUWS4MGW90reD4WGHgwfcnlU7TKpJGxFTf3KczGCWHd97iKk/epO0nXDoJx7ALwY42d6tZYv7Bpn44D6mnzhNVG4TrbSQnoOKFM2ZKqp9JUhvztSIKyGtmRrDD+5gz184cv3zvH+S4Qd30LpcY+nlGerny7Y9ItUkrZjoJsr1ShmmplKOHN5eCFPIS/btdTl7Vt2U0sY1x1Wu0g5Pkiyt4BQLuEODFB9/FKMU9aefQVWr6Ci+vvCtYKOITuc7m8Yursum3bda27Fmk9+Ia/5jE4vaVUvI24x3RfApXQ8vX6Ix3SKqLmG0Jjs0iZPJdUWMbTU1tW1mPoWAgX5b5r3muIIAU8jhDPZZz/l2x+7T2Jtv9BVyu45iTJzglPJraW8dxWvcTaPUWncb2OyYboeAQfgewvcwYYSuNTe6dWxyvGBJ7bdLagkBMpshbdRIq1VLoDZXzmMrRLFhYUltsIbrBaWiZHjoJikFohPgd2zjrta1VDq+xnnqahg0cdq7A5XRhtZKRN8Ol8JIFp1oonpCaznEy7pkSj7SEWhl0KnGy7nkBgMKo1lWLtSpz7fRqWbXQyP4uWtf4bXz6fJ5N51jApCO3JYGYrNp9TLn5xU7Jnub2MfH7ETgOPTkvDE0KNm3z2qF9vIstNqa+XnF8rKm3u3EYwzSDwhGJ4krKwgh0SpFOi5ONk8wOoETZNFhm7Re2yDHZJQibdQwSYyQkmB0wmY/ASebt7QVz8frH8QtFLs6nKSyjFcasFmSwRGcXAEwVvuzskxXLcNvE1x8HOHiiywSBy00EgeDxgiNxMUIq/YRyCwGQ2xCPBHgCJdA5wDIyAKpSjDrlqBCSoTnocOQtNW8Mi5hm7V0EiMc76Z0PpPUsLSktp0xK5UE4+NOz8GnTjUm0jSmVsAMkBnK05pvEJVbCFciPdkpbfe2XelKnMBFp5qkEdOab6A6lr06URtse1U7QbVtMqSwq/+G282OFeg7NMylL5+kdnaZyolF+4EA6TnWoW2b0NpmnxvbXABkMoLRUecqFZubh0lTVLOJjmKcYgHhugR7dyN8H6e/ZBt9oggdx7YS4nfoOp2JSAQBIgjQYbRO1adznRxpm3o735WZDDJ7rb2cMaYTI9zg2hjWGiSF41gL3k4HlvB8G6MAUro4ToDrZ1l9sMSVTQAGrRKSuPd58F0RfHamR5wgh5stotMY6flIx+1qfl1Z0VyeVR1Zpt7eTClhzx6XkZFrZ0V//07LxzSQzi8Rnb6AM9i/6XbisxfRrZDChx/FKI2JE6Jz08iMj9wkvW7aEeFrJ8nedxhv7wSqmLdl+eUKQkrMZubQXHHcKJVuox6mMahGA+k4BBOTqFZzLfubVsqY+MaZ2UbDSmy0WtubICcmHA7sd7vnTG0Cx5P4ORfHlVayqLpN77htQKeG8lSDoX0lJu8bYuFEhfLFOpVLTTJFn/xghriZolNbwvaz9jWNm7YBSKcGx3cYO9JPfjjD/JtbZ5tvCGNI26mVFSt5iB5tA1fxwksJUgoeuN/rKRg8fIdHJhBkMpIk2VrjbxV797o8/ljQs2bfpUuKJ78eUat3r4Chkxg3X6Tv/kfx+gZIKstEK4v4/UN4/UMUj9xHUlmmNXWGaGke1bzSwaujNq2pM+QP3kkwNsnQBz5O+9J5AAp33oNX6icYn8QrDeJsMplshmhhHhnkrObnjr2AISkvEy8vkpRvjyj0rUKfO4Ivc7jCw2ZeNMoopJAI5FoG1GBwpU+kWzRVFY0mED6TvnWJm/QPcSF8lcREV6pfnfZx6Qc4QQYVdrJrQuBkcx0JrJsLzMPQcPac6n7hchUmxh0MdNQZut9G2k6IayFRNcSrtAkXV4NEQ9qMLR0q03s0VZ8qM/ftKfZ9+m6SesTK63PMffM87YXGtjmZSEF2tEBhzwAL37m0sSnJgI5vLjOfpnDmXMLS8vZUJUolwZ2HXbLZW5udEZ6LyGTQjSbp0jLp0jLCdXFHh/HGx1G1BqpSJZ6bx9+5A29kBKdYRLfa6HabYPdOvLFR4kuX0B29bN1qgzE4uRwim0F4LiZO8HdM4k2Ob+9AlSJdKYPWOH1FnL6SLde3WviT43hjYwD4mRJ+/05GdzzAqlWDdJyOGI9Bq5RmfZbLF77d8yG8K4LPpNWgfvEkbraIVxhACDsZNC+f29JaE6DVtpZajabBdU3PorQjIw4DA5IgYIO/bTI9j26H6GbbltnDCDG7iIkSVLMFSqHKVZrffJF0oYxRKc1nX7U3TmtUtY5w7EpdVeu2JA+Eb5xCuC6q3iQ8fpb44qwtx4eRXRGl1z/n1YCzr+82Nht1dA2F6+H2DeB0LOwAdLuF2iL4jGNYXtZUq4ZGU5Pv0RJxYkJSb/RetloPP+tSGs/hZV2iZvKWBp/G2IYjISA3GFBfaNNcCtc0a1Wqqc+3SdopWmlqc01qcy3alZj7/9J+0sg6EKWRojZ7852mOjVcfGGR/FDA3Z/aw55HR2kshSyeqrJyoW6bkrrAqVMphbwgTcF1u7e98zwoFq1D0fnzKXPzNw4OhLAyTePjli/a63MwP6957oWYdqv7rGdSWUa1W7QvXyQYHMEfGSczudtmCaRDe/oC4cwFWlPnrpFjMlqTtpo0Th0jbdTJ7dqPP2C7SYtH7rNVkjim+trzuPkig499iK2DEmMdly6eJbtrP9L3aU1fIK1vrTbxzoBNKBgMCHA6gSgYm/lEobBSegKBLzIEIruh1N5UZZRJNzTzpc069VOvk99zkNzuAyTVFZthkhK/fwiTptRPvXEVJ7c3JIk1J1htePF9ehq/MhnBQL9k104HrQ3lcvfPoa2mrWa3rqpubFKuXQ/hbr5aby800IlCxylewcfN++z8+B3E1ZDLT54lLLc3lN67werlsM2PNy9vdTWMgZUVQ7msqdU1+bzA6WHRXCpJ7jxs7XhvJdyREbJH7rCa1wiM1rgD/Zg0pT11EV23i1ITx8Qzl2m+9DLZo0fI3nUnRilkPgdJQvOV10iWLI/WpCnpwiLtU2coPvowOk4wYWhpeV1Q8K4Hk6REl2YQ2Sz5hx/AxAm63baSS50MQBI3SRuLLEy/SK4wip/tp1GZRusEYwzF/t2oTZrNurpW2z7ytxCrDUfFXXfgFfqQfobW/EWiylJX5aU4tt3ujbohl+01+BSUioJSUZLLCdK08yJpTbpURi1XSMvVNe7mNcfebBOdOL/231G1sVG3cxMkl+au/PtMxz5PyrVV/Y2wKvK9oUHqNkC32zgFBye/UeFXuFuvvJWyAsHVmqZRN+R7HAAGByQT4w6ZQBDHputM2Xo4viTb7xMUPKQn1hp23EDa+9gpyQspMNqgUoNRGiHFWre40YY01khHIKRAp7pTyhdrk4P956qdG0jaKUmoUJGiPt+mVYnA2OxmuxxRm2laj3UN7XJMY6FNfb7F2JEBm6mMFCtTDeK27bzWHftYrQxxM6VViTcYMOhUk4aKsBpf08mulWb+RJmd9w+x8/4himM5arMtwmpM7XKTboe32VnFpWFJq6XJ5WTXQs6uK8hkBfv3uVQresvg03Ggv18wPCQZHna6XmQZYxUWlpZt5j3qouHNpKlt8OlkFBunjuHc9whBvog/MIxRCh1HhLMXaV08R+vi2Wu7qI3BJDHtmYuodguv1I9bsCLOXmmAtF4lKi/RPH8Kt1CidNf9Vsx+Cw6CSWKi5QUyk7sxxiOav0zaunGz3zsBq1fdGGOznBiksFwzg0YK90pAaWzw6QgPIeRaCR6gpWto9Ibgc9UCdeD+x/BKA8SFPqATfPYN0bx0ltbMhbWS43agFFRrttml1eptPgFrsZnPCSYmJLWapFzuYQBb906bVT3o9RCAtldklVa0CjfYfLpP6hFJMyZcbpKfKDFwdIzRh3ehopSVY/OknVJ7rzDaoJXG8R2ke3Nl9mu2bSzVp1aziaVsxsHpoRKWywp2TDrk8xLP643ucyM4uRzexDhuqWQrlNpqaqYrZdKFRfRqsJgq0qVlQiEovPc9yGIeISSq3iBdWiY6P3WlQUlr0nKF+MIU2bvvshS/MCK6eAlVq+OUilda9rXBRDG60dz4rCi1ltlcS15pTbKwCI5D8fH3rG03vngR3WqhWy3SqEUc1YijmtVbdwMalWnSNMQYRTY/3Gn67i2LD++S4FO4Hm6+RG3qBAhh9T6Nwc0ViapLdHPSSQLHjicYPAqF3uq1jgMjw5L77vF58aWYZpKilivoZqsjp7QNg9le0SUBeJXD0kv373aOJamUEY7ELfVdIe9r01PJ9o1jKYWC5OMfC3rK0mazVnv1vnt9zpxNmZ65uUHNy7oM7bfBwIEPTmCUIdPnERR98sMZqpebLJysUpluUhjOcOgjkyAgqieceWqW/p158oMBKxcb+HmPbL9PVEusS9DlFu1NAj6AY388xYkvXyKNFat9Td/598etI4a2fM9VXHhmnovPL165vqvBbedR0qnGaKjPtXjxt0/z8n85S9K+MsEun6+xMlXn3DdnrU3tOujUMPPyMrOvrfDSb59d44DqVKO7sNlcRattmF9QPP2tmPvu9di9q/vhJZuB7/lwQLWqefPEjQODbEbwwfdn2L27+8ATbNBw7M2Ek6eSriWW2tPnCS9fXNOvMkqx9NSXO4uTK6YKRmtbhbnBRpPKMkl1hdbFczZT9j/9Zab+wz+/8nuVEi/Nc/7/9zk7WeguTO87Cx0dtmmcOY5q9869eqsh1nVV1NUybd1Em2QtFyoQ5GSJojsMCAyaxIQsxBc6uVJ7TSrp/DXNpqrdojV9jnhlASeTxR8a7XygCJfm0WEbFYU3zYk1Bs6dS3nt9YT3v8/vOfvueYIPfyCDlBHnzt/CoEwbkoZtaPH7MriFACfTRoUpfYdHNv2Nk/Vwsy5xNaR2boX6VAXpu2SGcvQdGiZaaa3JMnV9HMoQLjRoTpUZfWwP1VOLlI/NAzYoloGDjjbySbeDmRnFM8/EfPL7MnhXG8HcAJ4HpT7BkcMujbp1cLoVCM+eI5q6eJXwr+ksQDfuQ9XqqHqD6OL0FZOZ1Z6RJLXbkBIwJHPzJIuLNJ5/cW28WIs7pNUNR2vSSoXa09+m/u3vYKIraYNkfpFkcZn28VMbFl7p4hLp8grhiZNX9q+v2m4HjhPgBUWCbD+OsgL4mdwgSbS9Be+7Ivh0/AzZoUl0HGK0xi8MdC5MQmt+6hq7u82glGF6RrFjskdXnc4zVCpJDh10eePNhEY9ttJIjdaWkkdvNdxO5nNg4HZoLHUgJcHYuLX2C8MrbkeZ7vhqq5iZUVy8mAJBT78Twvr53n3Uo17XNxV8rnIc/ax9LuoLbYb3lzql8YjaXAsvcBi7o49M0QcMKxfqJKECA5P3DBIUPNxAksYaN3Dw8+4aT3P5XB19nQFWJfqaoPTqwHAVOjXoG9AtVmEMqFij4qssIPVqQLn5NowyKGWu+V2vaLYMr7+RsGuXw+5d3f/OdQUH9rsMD0tc98bae74vOHyHy1CPTWdpCsdPpMxc7kHbs6PZux6rmc2ep83VSUjHa7+9xjHJmM1dlK6GlDjZHJmJXegoRDUbVttzC8ONdwJaukZs2kgkkW6hTIJex2E3QGTaCLWCxEGZBGXSTqC5Lpu/CXfTyeQIRsat1qoxpPUqOk1s6bJZ7zR13ppmrLl5zdTFlMff23vw6Thw5IjLhYspnmefzVtVmdaJor3QoHJqkbHHdpMcHSNtJXiFzcfZ/I4S/XeMdCY7A9qQmyhiUk1jqkzSvDLHFXb1U9jdTzCQpf/IKE7GZfTRXeQmSiT1kPr5MnHVPr/1C2UWctPkxgp4BZ/ingEAVJTSXmxQv1Bek3DaLsplzZmzKXGPsn1CCCSGgwddVsr6lgWfaL0mm7QlOuOBcKVVw3ElqtGZTzO+XaBKiTtQQIcxuhXhDuTRYUy6fB2JKmMgTa/N7BsDq03N3fx9E4TtMrLq4mUKeCaPAdrNJeJwe3JZ757gc3QncW0ZnSb4fcNIx0WnMUI6XWUI0hSmphSHD21v4Onvlxw54vGl/x5ilhKSywvb2s7txqqrX6+i271ASIdg525MFBIvLmKSBBn4ONlcT9u5eCllZFh23sHu9SHBevM+8IDH1MWUF1/e/sCRHQg2dIyvXKgzec8QzaU2jcWQ+eMVdtw/xK6HhimMZanOtLjw7DytckS2z+e9P3OENOo4AQmBkOC4EulKq8HZTLYRpbx70WoZXno55tFH/LWyfzf31fNg/36X0VGHTEbQbF6/GcgP4MhdLiPD3T/jxhhSZXjt9YTpTXym3xVYdx2l5+MW+sjt3Ed7Zspqe8bRLefW3Q609Na81MSEJKqLIPwqOLk8+X2HSSrLpM060coiut1CJ1HnPTTcKl/F2TnF2XMpehvjl+PA0aMeJ04m5POCev369CGDwShL+zHK2PdKGyv83tm3TjqfaYNOrETS0sszTH5ovxWCb8RrmUed6A2UnMKuPsbfv5fsSMH2UyhDXAupXyhTOblI2roSTBX3DTD+gX1khnJkBnIIRzL+3j2Ed7RoTFeJK+Fa8Fk9s0S40uKOv/wQ/XeMrGmIhkstFl+aJlxq3XTwubyiOXkyJY57vwcAhw971GqGP/7T8CZfndVKiOlKe3w9nGIWmQ2QGR+jVzBxYkXejbaJnt2jpCt1koUK/o4RVK15/eDzNqLdXCSJGwyNHcVxfQSCyvK5TvDZ+8V7VwSfq0TqvgP3koZNyidfIDuyEzdX6Lp5PY4NL74Uc9eR7Z3yxLjkgx/0+Q+/Ibk8q7bFM7zdGBmW7N1jz69UvJ2cT2OlTKoVotkZMrv34hSKyHzBCm13ObifOpXiuYJy2VAsCoIeEqCZjOCD7w84ey7lhZdiFha675Jej6DgkSl6awPP6uCVtBXtakwaK7SydALXdxBS2I7zxHI5HVcQtywHc43Kq+0A/v9n78+jLMvO8k74t/cZ7xQ35sjIiJyHqsqsUSpJJZVKCJUksI1ENxjbapkPY/dHA93u4fvoBe7G7cbNatlgjP1hLWMvY+zGNhgjkDFICIEkJFWVVPNclfOcMUfc+Yx77++PfeNmRGZEZkRkZFaVyGetkiLvcM65Z9j73e/7vM+jr24I+HOATsfw7HMpp8/kPHC/x9DgxrOTvg/79jq8/30+33giIV4j9iiVBCPDDvcf9deUP1sPeQ6tpuGbTyRb9pF/yyAdpOdR2LUP4bgIISjtvwtv0Dqkdc4co33mxDsi8LzV0GlCMjeNW6pQqPRTOXQvstsUptIEFbXJW3VqrzyLTjZXSr4ax0/kaG1IU4PrCpxNDrmlouDuuzx+4PuLfP6/RCwurlP1SBXn//ANoFuhyBTRTIvasXnSurXpfeEffJW8k1o3IwONU4u0LzW49CcnbTVVG9th/t/Ci//wa2TNK0HfzLcusPjytNWd7iY/l4PYtJlYO6EuZp+5wOKr01bSyhFIV6JS2wCpc0XeuZIIyNoZedzgtX/+pHUFdGSXXqJRcU4e3XyWfmpa0elYu+ZKZW1JxOvh3Q/5OBJ27pQsLmqiNW+Jbj+AZ6Udjc5x3BApXSsbJV2k4xGEfaRJi7i9gMoTEBLH8VEqBQyOG6LyBL1SF1qA01dEBj4GKD14EKdcwB0o03r+BOnFObu4SDLyhlWVeauecscN8IMKpcoYcbREffEMjuPh+UWSuLbp7W0oEnviiSf4lV/5FV566SWmpqb47Gc/y6c//WkAsizj53/+5/nyl7/M2bNnqVQqPPbYY/y9v/f32LXrSt3tL/2lv8QTTzyxars/8AM/wL/+1//6hvtXaUKyOI30AlQak7UbuIWadQ3Z4ApWa+sFu1TTtNuaQkFsuBsXwA8EA1XJxLjD3Jxievrtp6M3OirZs8fWf5zNjoSbgNGabGEO1WyiOp2uRmmO7rTXsB5cH1Fsm47OnM3Zu9dhJNh47UoIO9DsmnQ4esRjaSnZUvCZNDNUZptxAAZ2lbsyat1sw3K2BGjNReSxYnh/H2knxys4NOdisignTxXSEZgccpUTlN7idZ2UOOWSHezTrKvFeuuHLa0himBmRnHhgmKgf2NGB0LY5ohl7c6nvm0H7KsxOCgZ3yEpFMSmOF61uubSZUWtronjmzwPAqQUOJ5AZWZNXqzjCryCQ9pRm+LNrrm7rnZlYeduZBAipMQbGEIISXThDOnCHPkKaac/z9BZRlpbsM1LWuEUSxCESD9A+t3/965Yod4MOh3N4pJgeloxOupQ7dtcI6sQMDrq8K53eXz9mzGt1mo1lR4Mlse5AirXq2SQ4vnVXF+dKXSmVgWZ631WbaKhSEU5aqNBY3cMTds5MhDIgotqxJjMzttC2nJzL2MpBCZXVgHGdWw/hbA6lCZbu7qZZbZ59fyFvBt8bqbiJygUYHhYct+9Hi+9lBFF187rrmddx0p942iV0WnN4rohjhtgjEJIByldPL8MQvbiEiEdXK9AlrbR2o6/+hrbXez58I3NfvouwpHoLLf3iOd2s6Ie0veQBf+GjYi3Cp5XIigMkKcdVGbpAW5QWJVF3ww2NEO2222OHDnCpz71KX78x3981XudToeXXnqJn/qpn+K+++6j0Wjwsz/7s/zlv/yXeeKJJ3BXKPB/+tOf5v/4P/6P3r/D8PpWcsvIWnWWjr+A44cYDCpuEy/N4rTrGw52lILLU4qpKcXsnGZywtmUyYXnCpwSPHC/R5oapqdvrlxwK3D4kMt7Ht6a7tmmoBSdE8ds0Jkk6LgDGPJ6zYprb/Bm1Brqdc03vpkQhiHDQ/aCbKR0IkS3dHXEI8/h+ecz4njzC4Kl8y1UbmjNRfATsO/RHSsadUzv/4yBy68s4hdd7v7eSVSqSVoZU68s4vgS15cUh0KyKCduZHjF0i2TurohpES4Lv6uneg0I1+qoWp166x1G2AMnDxlM9JHj3gsayhvBDvHHR56wOd3fjdireBz/16Xo0f8TQvLX7igeOGllHbb3LSXs3QEricpVF2iek4aXXte/aLD4GSRubNt0s7NnXchHZygQOXuB3ArfQjXJV2cI56+TO35J0kXZleJ2r8TIYTcdLlyLegkIp66QN5q4BRL6DTBqw7ilir4/cM4hRJOEG5L8BnHsLRkeOnljPvvg2rf5qlOu3c5jI6EfO7zEfWGtR3+joGwCye3WsQb6sPbMUB0/BKqGWGSDOHbh9hkOcKzIue6HSFDH6dcIF9qWn3WYkDe6NgA9CoYA2lmePrZFClh3z57XTczh4wMS37gvyqysNBiao2kUlDoB2B4/D6SqEanNYsXlPGDMnnWscGXkDheEccN8f0yrhsi3QAvKBO3F0iTJlFrljyLr1HoVo0OwnVwdgyi0xwdpegk7QrVF/CG+jBphmpFuMN9WOqIWJWRvh0IS4NU+nfRXDyH1hmO6xMUBhDSBSE3zaXeUPD58Y9/nI9//OMA/ORP/uSq96rVKp///OdXvfbLv/zLPPLIIxw7doyjR4/2Xi8Wi4x1xUs3BaMtaVxfsYxSUQuVdDadzbl4UfGtb6d84vs21x0H9mb97g8HhKHgz76RoNXbo6oqpe0Af+ABn8cevQ3BJ6DjuHfu4/PnrPOCoWdnt1E0GoY//nLMXXe53HOPuym5DIBduxzKZcH73udz7HjG6dMbm+ijWsr067ZjH2N6jT+v/v5ZtDbkkSLr6mlOv1GjORvTno8RjqB2sW2bApUhbWU2CJICx5Xdph7D5VcWb7vFZQ/dJhmjNU65hDtQJXr1TXR++wKUN9/MwQg+/deKm5Ki2THuIB1BqSSo17kmm33ooMuDD3ibdkc8fiLn699INt2YsBYcV+KFDsWqTxppWCP4rO4IOfrRMZ7+nQs3HXzqLCWrLzH1B7/Vc0MxWYZOE/JWA529vZoeV0IIx2aGHNdaZqoMKT0rUJ2nuF6I44UExUGSaIk0qq/6nlYpQkhcr4jKImvF6a7Pzwl37GLk0Y+Rxx10HJHMz5DMTxNdOoeK2j3NSbVNklRRZPiTrySUSoLDhzYv8O44lkL01z9V5OmnU/7Vv26vp9r3jkMwMYQ32k+22EIWAty+EoUD46hmRDpTo3h4AqeviGpFVsc6V+gkR/guMvRthcF3cfuK1J96k2y2hkmvXTlqDd98IiEIBN/zPeGm55C+PsmjH/B59bWALIOXX8lWscaWs5WtxiXyNML1CvhhH65foN2cwQ8q+H6JPGujVW5L636OyDrEnUWbMMsTOq05tLo2a6kabXSUkC00ek1Itjvemi3Uv/aS1eCMU5rffNV2wt/mwBPoHZcXVtAqwxiFH1bQemtNfLekNtjsCqn29/evev1zn/scn/vc5xgdHeWjH/0oP/3TP02lsjE7OYxmpc22lTXZ/KA+v6A5cSJnuQq52ezUxITDnj0OY6MOi4uaeIsWa9sJ34fJCYeJnfa45mq3Yacrnk7d2brQeZoZLlxUTE1bu8OR4c11MJeKEs8V3H+fR54bLl9WJBvou1ir0xygfvna35I0s1VC63E9vdpj7K2BFAjXRRaLdIUS0e1Or6PX5AqkRJZLV9wHpEQWCzbTIKTNXKfW5lV4HjIMuvZtXbkPKe1+HNcGtUZba8kkua7A8eKi5tIlRbNpjR2CYGMXtVgQDA5K+quSWk3TbF45wVLCyKhkYmLjEktaGysKPqc4d25jXO2g6OAGkqiR93i7pQEPrQxRM6fU7xGUXYKyi9PVhxUOhCWXoOSickPfaEh1LMAL7LaK/V3RaWOIGlmvFN83EiC6FJmokXXvy6tuKqMxubaST+8wOG6A6xUQjotWGTkRfmhlzfK0Y+1J3cBOYiqz9B2VId0A1y+Sp22EkHh+GeV4GGNwg+XGxmu1BaXr4lb6EZ6Pcn1Uu4XJbaCu4k638z3bMF3rRshzw6lTOTMzmk5HE4abo3MJIXAcwz13e3Taht27XGZmFZ3orZ9XbhayEOD2l1GdFOE5NpgMPIzSuNUS7lAfbtU2LekoQac5MvStS1DgdS1DXZxiiHDXz1QbA1NTdryZm1MMDjib6h/wPMsjv+uwy8Ki7Z6PoisNYMsczbiziM4tHUipFDLIswjH8cgdD5N1bPCpUpsoA7TOEdJFqxSVr91AZ3Jlx+po7fE0j68sLvPkrTORyLOYNGkipdPVstaoPLX81i1A1Gq1Td3lExMT/MIv/EKP83k10jTlE5/4BAMDA/zWb/1W7/V/82/+Dbt27WLHjh28+eab/NzP/RwHDhzg937v99bd14kTJzZzaHdwB3dwB3dwB3dwB3fwFuPQoUPXfX9bM595nvNjP/Zj1Ot1fvM3f3PVe3/jb/yN3t9Hjx5l7969PP7447z44os8+OCDa27vPe95z3YeHnDFyu+z/7Sfw4dcdm1CCHsZjYbm2PGcX/2XLZ55Nr2hI8utxMROyZEjHv/bT/cxMeHQX5Wcu/yf2bPz+7e0vTw3RJHh+39wnldfu32agYcOutxzt8s//EyVvorcFCVi2bnm3HnFM8+m/D//rs3Zs4qFdbpH18MzzzxzS+65zUJKCANBruzqe91snePglAp4kztxB/oRQYDudEjPXyKbmsEbH8Ud7McdHaH9zIvoVhvhOHg7x3D6q7gjw5g0RUcxyckz+JPjhPfeRfTSG6hmE92JKdx7N06lRDYzhwwChO/j9JWJT50lfvVNYP3zVi4LfuxvlfngB30++IGNpyLS1PBrv97mqW+l/NEf22xBX0Vw5IjH//r/qfDoB3zrPrWB9Ge9ofnSH8f8zuc6fO3rGytPj99VYWCiQNJRRI2MqJ5x6P1DtBZS3vjaLJP3VekbCegbCzn1rQUWL0YceO8gXujgeJL6TMTgZJFDHxjm5FPzpJFiYKJI2snRylDq94maGb/yU7/LD//UXyRPNGmkGDtQJmpmvPrlmQ2fq1uJ//Pv9vH+R3wefMDblITNmbM5b7yZ8d/95BJBeT99Q3vR2pYj8yyi2DeOAOL2AnnaQWuFH15xSlMqwwsqhMVBotaspY+4V6S7EIL/8h//Ce997yMYs/rhEK6HWyzj9fXjFEr4g8PIoIAThDilipXD0ZrpP/08eWv75Gre9x6fRz/g85M/XqZvC9xPsA1Ml6c0v/8HES+9lPHlP41RG/AZ2Axu5xjnVAo4pdCWiAUghG2kkRIZerb6AuhO1zJaCIp3TSJCD+E5xGdm0O3E6lrW22uW3FdieFhyz90e/9vPVLj3iLdp29M8t65VX/7TmK98NeGbTybMzWm0fvvMDZtBIRRW9lPdPM8dICwM4od95N0MrpAOheIgedqhtnDqms/XarXrbm/bgs88z/lbf+tv8frrr/MHf/AHDA4OXvfzDz30EI7jcPr06XWDz1sB2x1nU+uVimRy0r6+mVJvuSx44H6Puw7bEsnCgibf5kHiRlgmS+/e7XL3YZe773I3Ve55u+HiJYXShvl5jesKqpsIPoUQeJ6lHlT7Qp59LiXPod3RpOm2SPrdckhpF0ZBIAgCwWC/ZGFR02pb8fc10e0OVQuLlphfLuMM9iNnF9bfkRCoZtt2Y/p+lxPaT+rYJiXp+2RTM7ZBCWw533XJZ+dxBgdwu40BQoobOqrlueHNYxmHDrlobTYcMAppubwnT12ZxMOC4MB+y+/d6H1uDCSJ4fU3sk0tROJWTqeeMbq/RFR3aYbWQCCNFcZAY9aWmYb3lpCuRLqCoV1FmvMJc2fa1KYiXN92+fePF4hbOWknp7VonWcmj1YpxZabvXQporWQEjUyDj4yRLF/87zBtzdM12pW2RKz66PzpFuyS6yjkRBX/KGFwHGsmYNt5tAsaydamZq8V768OvC0L9r+gLzTQmfWNcktljGFEm65H6dQRPpWemk7cfGS4tnnMppNQ6FgNt1PAFAsSg4ekDzyXp9CQfDiSymNpk0GvN3HMGGHCaCnc45qRqhmtGGKknAddJJaBlGuyOYblg8ab6y7u17XvPxKyuUpxa5JZ1M6wGCNLioV+MiHQ+p1S+GKOhnRzapj3CYIAb5naQSeb10A49iwsKitY95N3kOOZxuoOu05+zxLSV911xWnt01iW4LPLMv4m3/zb/LGG2/wB3/wBxtqKnrttddQSm2tAekmkefwud+LaLXMlrrDhbCBwv/rh0t84P0BP/XTdebm1Sp+2q1GqSTYuVPyt//7Mg/cv/kGjLcbosgwPa35l/+qzcceD/je79mcWxJAEFj3m7/z0xVOnMj5l7/W5vkXUqam3t4jt+PA6IhdtX/osYCDB1ze/W6Pf/iPmvzRl2JmZtYWXA8P7sWp9iFLRVSjiUnTrmTJ2vuRlRLhoQNWwFgIVK2G0YWeZadOM1SjZfnUy1DKOmYobf8/s0to6dimm5493hqBaJLA17+ZcPiwSxSFFAobW+Q5Eh560Of8+SvHUe2TfPDRgJGRzQjLQ7Nh+KMvJczNbZwfXpuKSFoZ931sB2A5mi99cZrm/NrcJgG4ocQAaZyTxoo8tXanbiBxE0nczMkTTdLJeeb3LjF2oARAlmirJauNlerS79wF5FrIs5iks8jS7HHbbGHo3p9mBeleXNWwYPUmBdA/erjH8ew0pkmi2nU5ZoXx3Yx99L9CdVqoOCJdWiBv1kgWZ2iefA2VROgktjznDWG967H6Zr88ZWW8vvlEwr1HPY4e3foi4r3v8TlyxOOeuzx+9/MdvvZnCbOz+i3pMdkoymXBoYMuStmx/MTJ/MqYtcHjNrmi+Xw3gyaw9pGb+M1ZZhtYP/e5iPPnFT/xY5tXHJESBgYEf+WHCnz0owH/5J+2ePW1t0baaDOQEsIQHn53wH1HPe671+N97/N44smUz/xCg7k5s7aM1yaQpR2k47Fj13twvRDpeCzNHSfpLG1pexsKPlutFqdPnwZAa83Fixd5+eWXGRgYYHx8nB/5kR/hhRde4Dd/8zcRQjAzY8tGfX19FAoFzpw5w2//9m/z8Y9/nMHBQY4dO8bP/uzPcv/99/PII4/cYO/WOcARVlxZIBHCIdcJ2uQIHMA6NkjpIrqfl8JBG02mrm0gMcYOFmfP5Zw4mbFr0qVQ2FymDaDaJ9izx+GH/nKBZ55Nee31rJemv1UQAiYnHQ4ecPngoz7797v0VWTvvbcKUrp4XhGtFQaD6/hkWacrsLsxpKnhxZdSdo47HD6Us2uXs6kMgujaw/VVJHv2uHzy+wpMTjicPpPzwosZrZZeU7j8dsJxbIZgbNShv18yMCDZv89hZNhh9y6H/ftdhock1aok8MX1r6noZisrtmS5HBgK30OWS3jj3fL6YD/u0CCoHKRAFkOE59nVq++xapZYN32/+vWw6lPeU+nJUnkFlzxe7dVsDMSxFYA+cTLjnru9DTUCCAF9fYL+AcnAgKDVMpSK1n6zXNp48Dk7p7hwUbFU21xjoNGgckPSzvFCG2SnkdXrLPS5jOwrMbCzQP94gcHJAirXLF6I8ELJ3ocGWBqL6N8Rdl/vkCWaockibiCJmxn1mYT2on0uJo5UyNMSWaTp1DM69bf/RLcZZEmLjjFolV5Z1Ky8FGtelq5zDxC15pCxjxQOadxA5enqxdHV+2vWqb/2HDpN0XmK6rStn3sak3ebj5btUVdCIHCkjzaq21TndOcSQeCW0UaRqQjfKWIwRFlt1feXs+xf+3pCrgz797sEAVuqRrmuoFSEAwccPvbRkMkJh289nXL5suLSJUV6eyR714WUMDIiGeiXjI057Jp0GByU7Jp0ePW1jLPnck6e2uIxbsAq+3owBo6fyPB9OH06ZHRM9ubHjWBZf7VYACkl3/OxgP1d+abdux2WlvRtTTKtfYx2DhkeklQqkh1jDuPjkpFhyaFDHuM77L+HBh2KxRvMITfAsoC+F1Rw3RDXLSAdFyldHOnhOAFCbm2htaHg84UXXuATn/hE79+f+cxn+MxnPsOnPvUpfuZnfoYvfOELAHz4wx9e9b1lMXrP8/izP/szfvVXf5V2u83ExAQf//jH+Zmf+RmcG+itSSGRwsVzQqRwreyGDIjzBpmKcaWPNhpjchwZIIWDI10c6aN0vm7wOTtrxc1ffjVjaFAShhvXmFxGoSAZ3yH44U8XKXQtARuNjDQxN/sMXYOuzSuea/U8P/B+nx/54RLFgsB13/psiZQuYThArmxWwvfLmM486hppifUf3DyHV17NmZzIuOuwy+io7Oo5bi4A9X2rF/lff3+Bgwcc3jyes7CgmZqyagda23vgVpeyurrJvf+ktGX1Uklw110u+/a6HNjv8t3fFTA4KK/hit3wZ2sFGGQYdqU5MhtQui5OuYS3YwynWrF/Dw+iowiUQngeohDidAllJutmKbT1+V11ibTuvbYs34RSFCoufcUKccMGUV7BQWV6VfAJ9ppOzyheez3nwH53Q13vQggqZcFAv2B0xEHlinJZsn/f5haJU1OKM2dzmk29ac6TVob2YkKh38MLHPLEltwLVY/RfSUGdxWpjoUMThZII8Xs6Ta77q+y96F+qmOhdb6K7esA+949iBNI/IIkamS2BA9MHKniBhKVai693mDp8jtbr/NqZEmTLNm6AH7Umtvc/uqLLD7z9U19RyCQwsV3CmQqQaNwpa2ICSEoeUM22aFzit4gBnVN8An2Xv/K12LCUPCR79YMDUq87ry82QDA8wS7Jl12jDl88AMBlUqH555PabesMUeu7KN5q8cwKVePYY5jj23vHpf9+6zs2Qfe7/eC0d/67Q5xYjZmPLhqgOy+tswPRawmu0t5JRt6A5w8ZVUtXn0t4yHfo1wSG6b8LMN1BWVX8Be+t8ADlxUZcPddLqdO5SSJQit7qLd9DhHgeoIwtHbEEzsdHnzA56EHPfbucRkYWE1LulkmnnR8PK9AqbKDKxaiXRMWY3DcAMfdmrzjhoLPxx577Lrk0RsRSycnJ3sB6mbRX5jAkb7ViOvyfwB8p4jvFBmuHESphDTv0MlqgMER9ok34vp3xvETOb/6L9vs3+tSKslNyTMsw3Gs68pf+6tFvufjIf/lDyJeeCnjyacSms3t4eo4Duzd4/LQgx7ve6/Phx4LGOiXvYfq7QAhJNLxqRSH8bwCnl/B80p0vPkVnzJ02rNoff1I4FtPJ5y7kDM25rBvn8Pw0Nb5WYcPeezd6/L+9wWcO5dz9mzOn30z4fx5xclTOa3W9vOphLD3RF9FMDrqsH+fw9iYwz13ez9C0c0AAQAASURBVExOSoYGJcWCnZg8T1AoCLaieZ2cPk9y/hLyVSv4v/xDTLdM3vzqN7v8TCuNtFzmjE+cRkjZy5QaYzBJim62SM9fREdX0sPt517ufj8ln1+w23McvN0FnMNlRg5Wb3icp07l/NEfx3z0IwEbVVYDGBxweOABn5FhxaFDLqWS2BS95LnnM554MtnS9c0SzXO/fxkh7TMWNTKMgdpUzPO/fxnpWV3XLFaoTKNzQ2M25vgT8z0JLyEgadsJdP58V5PYYLmj3WP6xq+f6dEeslih8rdxbfU7FAOFXbjSJ8rqSNfFES7DpQPU4kssRRcwaLTJSVUbw/XHrnrd8K1vp/zDX2jyP/9PZXbvcm9qjHZdWwX4b/5ake//RIF6Q/PEkylnz+W88mrG8RM59frmF1c3QhjSdZBz2bvHZWxUcvfdHjvHHcbG7ELZ73LUw3Br45d/YBfu6CDBvklE6COkJD17CREEyHKRxh99A11vgTFUPvJeRBjS+MLXNxTxXZ5S/MIvNfmJ/67E498dsGPHxuXZrsboqOTSLPyjf9DPwoLm1dcznn8h5czZnBdfyuh0br6kvRb6unahExN2/pjYad38xkYlu3Y7FELr8hYEgsC3fQ/bHQ8Yo2yzYBaxvEJo1eJuIC/QOu/KT20eb3tvd0tIl3hOgThroo3uZkEd6GZBMQYpEpRObUekFHhO0AtC10OnY7h0SfHa6xm+Lzh6ZPOnQwiB60B/VVAsCt71kE+5LKn2Cc6dVzSbmlrN0GppktSWIdcrRzgSPF9QLNiHuq9PUu2T9PUJDh1yOXzI48g9LjvHnXUzSMvbXm6EOnjA3ZTI91ahtSJNW3heERB4XhHPL+LnV7pYDQY68+tvpItWy16Xp76d0Ol4vO+9Et/fWgkrCAS+LyiXlpUOBNrA9EHFXYc9FhYVcWRote2Ju+uwS5LYLnO7sjXdRk07wEpprUulXP7b8kw9F4pFgR8IwkDQ3y8plQQDA5Kd4w6DA5K9exyGRxz6KqKbUbi562KyDLIMlaz2X16G7qydRTNd27qrv2O0vsa6zcRJLxFqupkIA8SLhvolQdq2s55Kr816LqPe0Fy4kFNvaKpVSRhuXPNzYlziCBgblRs+Z1rb7s5LlxTnz6utlf8MxM01BK1zQ9xae6ZXrZykna+5v3wxXZPe2K5lPX7jrS6lLmeupLSZHSntmOO6Auks/921DnWgWhUb1mddCc+znPR9e12rl9ilMShtk/W5sgs+la/4W711jYFS2BKiK32EcHClh+sEuNJHCvu6MQopPVwZXNdOUGurcfvq6xmvvpqhFN2y7dae9eVxp1oVlMuGwUFJq20YG7Nl1gMHXOp1TaNuiGJDkhji2JDn9hmwxQ17jpcXbnv2ODjdZ8l17TX3fbsI9rvBTLkiKBUFY6OSHTvs+LVnt8vQkGRwUG66k3wtmChBtyN0FCMdW9ZTjRZOBagUcUpFyBUmThBhYIXnN4gss77vL76UUSoJPv7RkDBkS1XC5e+MjdmGRyGstvaePS47d7o0Gpp2y9BsatLM0seW5xClwWiDAaRYPW8sP2f2P1uxKxTsfFUs2MCzVJQMj9hzPjIs2bfXZWBAMjoqe9fwVsJohVIpadzE8UIc17c+7iuega3qfL7tg88k7yCFRzkYoZ0uonRGyR/sCp06trvRKLTJibI6GIPvlgi9sn3/OkhTWFjQ/NGXYhYXNUePlK/4zG4Sy/I4H3os4NEP+GRZgW880V0dvZhx8lTO/LxmekatKZ8hJfgB9Fclk5OSkRGHI3e73Huvx769LocPuRv0a7cbfu21jCefSvkffrLcXRHd2ptUqYR2awpHukjp4Lo+nldCBSuDGbOhzrhl4vi//jdtPvLhkHvu9ujvl3je1q7N8lfGRq0I//33+d2yu+HiRcX8oubMGRtYfeL7QuZmDUmqSVO7ohUSXEdQLNpMZRhIwvDKgF2tCqpVye5dlvs0PORsme+1JWy2E6GbgbsZNGcimjNXOllXivBfjVrNEEU5U1Oavopmx46NpUkqfYKDB1wGBjSjm2g0Ugpabato8eax7Lby4663L2NY+7zf/OW4IZYDz+XJrVSyGavAF5TL3QxWICmV6U5+ljddrW7+Hi4U7Pj14e8KaLdtMNTuGNLUEEfLKhSGTgeiSJOkhnYblDIbMgHYbhhs1Os5RTwn7AaYGilcQrdM6FUsrSivELgV22twHTvQpZpmqab5z38QMT2j2L+vtOV5ZSUcxwYr73m3DcKMMeTdBp/Tp6119PyCYmZG02xpWi3bKZ8ra7Tgd3Mx3/VY0M2U2TGtr89yzCcnHQaqktFRh/5+ccuTFtmlGfK5RXSrgzvUjygERM+/gTs6iJ/txhmsInwXNW+djbRhwys0raHdNnzhjyJefyPj3Q/5DA/LXoZ2q/NIuSw5csTKGy6bEc0vKOYXNMeP5yzVNIuLivl5e9/HsSHNbMLJc0WvKbYQ2vMbBNZfvlgUDA057ByX9PdLJiccfP+tp9RpnaN1biXSKjtw/SKd1lxPRP9m8LYPPuOsTpa36aQLZCrGGE2Wd3q8ECkcmxo2CqXtBJjkTZY61olgI3j2uZRW2/DA/T5H7nEZHb05GQ4p7Q328Lt8jh7x+PCHAqLIDgBRbAfh5ZWpJQ/bm9DrrkCDwKbQi8Urk8RGy42djv3Nn/t8xHPPpfyVv1zA912KxRt8cZvQbs+SJA2yrEMc18nSlTZ2ZsMNSMbA/LzmiacSfu7nDf/t3yxx8IBLubx9gbSUdjU7OCjZPenQyeCv/ZUiWUaXF2ozBsuUJOnYfS+vXqWwAabrguPaxYfr2ev4dqFD3HJsMGpSCp78VkKWmw0Hn9U+yV13ubTbhlJp4yd0qaZ58qmUmVl1u+zsbzkcB+67z2NoQDI0ZLPHVppLEgbdRVFosyfLfy9Ldy3fl75PL1uynAFdzuQvc5KvvC66XPjN38h9FUEYOvzoj5Tomm2hulIv9r8rfy8vxJcDz1zZADXLDElqJ+8st808SWLIM3rNY3/rR0vEiSZL7WtPP51Sq9vvbAb1eMpW0kx3bBESKSRKZ+Q6Y6rxOtpocp0w0zpmedIbsBP85hMpMzOavqrkA4/4TE5s73S77I5ULAgOHnDYtcshywxZunwu7bleDpKW18I/8WNlxPL45diFtevae8V17f3jvoWRQb7UwBw/R+HeQyCGyQf6UIt1Swfa5EqyXjecOp3zf//DJh97POCjj4f09W0fXU0ImzAqlQSjw5I8hyw3vTlk5flffsaksJUGaW+13jO4PP8vX4u3m4KNH1QolkeozZ/clsXy2z741OQYFEqnXc4nIDVa2TKf9GRXR870bOq01mS6W3KUK8jGUvQ4XHl8xSd+qWa4cEHx3HMp/f024LNdYlsvlQhhJRsGALCTren2c2SZIcttALp844WB6KXht4pORzO/oMGFY8dypqY19bpheNhQLN6eaEgpS8zvdOZI03ZPk08IByndTQ0eaWobw557PuV97/URwN33eHiu2WAWeH2I7uIlDK23cqUC5y7D7i2YDtzBjWEMnDqds3Pc6d0CN3q8gsAKR1cqbCoL025bfdFmU7+lXcHbCSlh/z6XXZMOuyYcwoINLsPwSvBps5r2XIU9PpgVm3bdW5/JWobn2X3v27u52XM5AI27C/SkmynNckOcGJLYTurLwef73usTxTb4jCLD8eM5UaQ2rWiR6+uXDeMV3fFJvnFP+IUFjefmPPNMyuiwxHUEo6OyNz9sB6QQSNfyM8s3/jjnLsOBA2/vMc4kGareQhRCZGDTtdmlGdTS5hvX8hyaTcMLL6aMjEh27nS496hHocCWtFhXYvka+n63mnCbEjxvFaR0cJyAsDhgVSe68ZjWOXna3vT23t53ISA9B+lJHN8ha2cIIBwuktYTVJJTGC6Rxzl5J8MtehhtUMmVwBIJbuAiPQe35OEELo4rWTo+j17h7X3psuKf/EoLg12xPHC/d1OB4HpY5niEdAlg24iTJ233/mMfhldetXITFy7m9PVZv+zbBWMUUWe10LkfVCgWh6nXzqH1xuVk2m3D6TOKX/rlFvfd6/F//VyFkWHLvbmDdw6UgiefTOmvylX8s+uhUBAUClcewo0uBhcWNX/85YTZube3vutm4LmCj3w44N6jHvfc/bYftreE5UysDQquf63PT8H3fyLs/TvL4YmnEpotTb3x9llxTM9o/u1vdJie1rznYZ+f+O9Kb2lW8R0B1eV5ug6yUkKWCsSvnyKb2pzywYrNcfac4rf/U8TXv5HwS79QZe9el5HhWzDBfwdDa4Uxhsn939UrxQNE7TlmLjy76e297R+DoD+kMFyk/9AQ0WybrJ2SNlMqewtIT5I2EoLBAl7ZNh4ZbdCZJo8ypCMojJYxSqNzTdbJrqw4r5rIjLEZyS//acylS4rij5UYG3UYGNi+oO3KLrc3cIoiw5mzOb//hzFPP53y2IfppfqnZxTjO2/9QyaEg+uGFAqDuG54zftB2E+hOEirObWp4HMZtZrm9TcyfumXW3zkuwOOHvE4dPCd7er0dkZYkgxPBDQWMpJIk3RuPpBrtizn+fU3057CxPWw2cqDMYbZOc2li4qLl3LiaO0gRLgSJ3DY9bHDZM2Ei396ct1t+tWQcLBAtNBBJTk6eYvq+CvisVvN336rsNnftfLzoptteLuemldezVhYVPgBPPwunyNHXArh1qtr3/EwBrVQA6NxysVlHtRNbbLd0UxNGX71X7a5/z6Pxz8Ssn+fQ7H4Nqtvv00RtefRKsP1QozRPb3dLLtWznIjeNsHn34loDhapnpwCCf0SJYiVFqjMFTEK3k0UkUwUKA4VkanCqM0RhmyTor0JKWdVfIoQ0UZOldYVbe1oQ288UbO0qLmQx+yukuFgi1dvR0HCWMMSQKLS5rXX8959tmUZ59LV7wPC7dJFFcIB88rEhYGuh3vq/cZhP0UCkNbtrWLYsPUtOJLX44plS0fZnjYShbZ6/P2vEbvVAQFhx37QrQyGJ1vS/CZJLC0pDl9OmfnDodSaRsO9CrMzdkAt1Zb/54XQiBdh779g8QL1x84/b6A8u5+8iQHY9664PMO3iIIttIOJpC9Riaw0j9LNU25HON70N8v2Dnu9OTW/tzCmo9bBQ4pVikJ5Et1lrvxzDaQt7MM6pk1AqjVNaNjDuWSYHiYnhj7nTlkfWRpG6VSPPeKVZ3WOXoTRjIr8fYOPgVU9w9QGCmhE4XO7A1YGCkjfQetIRwu4YYuKINb9NC5zXr27bVsy2jOZkvzTkZnpkVxrExhtIR0BGtNp3FiOH9R8dN/p8YnP1HgL35vyAfeHxBem8x7W+DbTyc8/2LGP//VNu2OXtVgYTScO6vYu/vWT5iO41EoDqFUSp7HpOlqblQpTxHCva47yY2glCWQ/7t/3+H3/0vMX/6BglUX6F6fO+PG9qF/zOP93zfEN353njSOaC5tj5Dg5cuKP/xizJF7PIZuQr91LRgD3/hmwjPPXn8w1JkirSte+WdP3jCbUt7Tz+TjB0kWO+hUkTVvgaDfHbztIJA4WM3PxERsJgD1hE8oSrR1A82V8S6KDN/4Zsprr+X8+9+M+F//v2UOHfQ4sP/tPQ3fSpgsJz0/BRemrxGRj189eaXb84bi8suD/42vU7NpePKplGeeTfnEXyrw0IMen/qrJYKAO5SI60A6Hn5QYWzyXdbZSEhqC6eI2/Nk34mcz/qZJTqzbdzQJW0k1kVFaSvMLARGaaQjEZ5EurJbdld0piw5OW2m6DRHZ5q0lWK0IWulq/ieV0NraLYML7yYkSRWP+2K3NFbuzoyxpLyZ+c0b7yZ8cdfjjl+IqfV1tfIlFgZiNvDgdI6I46WMGiM0ddofy1Lk9xIYH4jyDJoNjRPP5NSr2tOnMh533t9xsYkEzvd7v5ueje3FZYmYZie0Sx2s4MnTua02+vrwg6N+/QNeew8WLBSOq6gOuzRquXU5zNefaJOGtmmm8EdPtVhj913FxHS3uOdRs6lUxFzFxLy1OD6grDosP/+EnvuKbFjb4F7H60yvr9AayljcTqlPp9x+WS0ZU3GZtNw7FhObcl2JW9XVUF3ZWdOnMw5c3bte0xIQXlXlXCoRGG0hFvyiWZaTH3z7KrPOYGLW/IYPLqD4QfHKe/uZ8cH9pAsxaTNhPblBslSROt8zX5BCsKBAqWdfZQm+hCutFnSTLP46gxJLSLvZJR39xMOFXF8B69iKyuDR8dwQpfCaAmdaeLFDvPPX77p83EHV+CLAq7wiHTTag1vABKJIxwc4SFMvOHv2f2FVJ1REhORmtWDslLQaGqUht/7zxH792UcucfjoQe9Xtf0Ozn7phTk2WbOFlanW3o4jofw3d7fSVRH6wytlG1WRXSTF8vbNz37Rz/oQ+uMNG6iVcaNglCl7H8vv5qxVNNEERw9Yhv69u+3dK532mVYptrV6lbu6eTJnG8/k9JqbY+EWRBWKZZHaC6dx2BryJ5fwg/7oL757b29g08D9ZOL176+shKycsGz3t8rkDUT2qJ5wwWSUpan8+axDG3g0Ud8JnY6XTca022YuD036HLwsSz902pbjucX/yjmS38cMzO7diSgu3JFjfqVrt9bdbxKZXQ684BeUTq5MpAaY1B5ui3BJ0CawQsvZhw/nvONb1pzgXvv9RgadKwlZ1dAG96+pRRrUUZPjDjP4PSZnFOnc/70KzHHjmW0WuvfqGN7QyYOFXjouweQUuCHkr33Fpk6HXP+zTYnXmiRJQa0YXR3wO67S7zvLwwipO0sXppOefbLSzQXM9qZwvMlparLfY/1s+twkZHJAEQfUVORp5pTL7e58GaH6TMxerPaol00W4aTJxULi5pOx2xJxHwtaGXFnU+ezDl7bu2RVjiCyp4B+g8PM3jvGMWdfSy8NH1t8Bm6hINFxj+4l779A5R2Vhh93y5UrNCpYvbZizTOLPWCT+kIiuN9DD84zvC7JnACBzSoVJG1EvRpTd7J6Ns3QPXQMH45oDBurZ6GH9qJ3xfQf3gYnWvqJxfuBJ/bjIIsEYoiie6gUasCSdEj014JaABr0yw8XFYblYgV5Fv7jRVjXXc7vijS74ywkF9a83iSBJJE83ufj5mcdLjv3oxKpcTePS6e5/Tml7d7GXh5nF82CNDaZnc3qzYA4LgBnl/C8QJcr4jrF7tNLTGoFMfxEUJYqb6utaPB4Lghnl+k2LcDlcdolZMZvWEdymPHck6fynnp5YxPfl/Iw+/22bHDsbJk3ebgtzOW55Dl859m1lb45KmML34p5tSpnEZje1z8gkKVYmWMS6e/Ya8LMLn/Q/hU2Ao95e0dfK4Hs8m/r/f9GyDL4AtfjPnWt1N+63c6/NAPFLn7bo+H33V996RbgfMXFMeP5/zb32hz/oLi0mVFtE5TBdig9cJFxeyczYre2gfJYLqrfCEcwsIApdIoQVBdISxvmJ5qkufb51/diQxxovj//bMWAwNWnPdjHw05dNDl/Y8EvUHk7Yh6w7CwoPnGNxNOnsx57oWUmVkblEWRlZtZd9AQ8MH/agTHE/yHz5wjbitKfS6f+undnHy5xYnnW0TN3OqPllwe/9QYeWb4Nz93lril8ALBg989wMShAjsPhHzx16aJ24o01vznz17i0LvK/NBP7eZP//0MZ1/rsDidkCWaPDPk2dYz6ZbiZXj6GVu+/p6Pb8HTdg1Y//iMmVnV07q9GjrTzDx9gcXXZ7j89TPc/798cM3Ppc2EvJ3y6j9/isnHD7Lvk0c4/hsv0L7UIF5uPMq7FpqOwO8LOfzpB5h/aZqX/vE3UXFGMFikemiIsUd203/XCG/++nPdEwBZO6Xx1Hn4COz4wB6W3pzluf/7q9z337+fcLCAW/JRsbVIvYOtQ+JQlBWG3Un65BChLBPpFrFuE5k2gSgw6O7AwUWjaOsGLbWEMhnj7n4UiswktHUNjUHiMOruIZAFBJKGnifSLVId0++MUHVGyIjxRLDhTOnUlGJxQfPSSzljY5J3v8vng4/67N/ncviwu82tqduLJLFudE9+K+H06Zwnn0o4edr+ns0GO44b4AVWLMrxAvywQmVoL0ZrRNfG0ZhuVU0lGK1wvSKO6yNdH8cNMLqM65doLJwmi5sbTnRkuZXF+u3fifjDL8b8u//Q4cEHPB643+O7Hgs3pTF8u5Gm9h566ZWMkydzvvZnCQuLmlpdd7XFt9E+2oAwAs8vI6Sl0EnX23JC6Z0ZfN5mtNuGPLeB3pNPpUxNK5aWNGOj1hlix5gljt+s9uRKaGNF6GtLtmx+/nzOua4f+ZvHbVPUsiXk9ZCmhk5krb8qldvjmCClS6k0hucVu4Gn6ep8Otueel3OHC7VDFGsaHcMlUrKpcuKxUXN8Ii1KB0dsfJMpZK4rdQJY4y1XEsMSzXb/NVuGxYXrQvKwoLmlVczLl5SnDqV09xgiUQApT4HA9TmMuKWIk8NcaSJ25qoZf3D/YKkb8jD8QRRWzF/KSGNNJ4vmDoTceihCkMTPtIV9lzmhlYtp123nuXthqKxkFGb3bxCwfrnBM6cyxkZkcD2BJ+1muGNN3M60fo0BQAV24FSSIFR63xQG7Q2pLWYvJ2ic01aj4mXOtc0KDmBi98XUBzvo7IU05lqotLcvjZWJhgooNMrF9Rog4pzkqUrCzCdKuL5TpfTLiyfPVWYO71NNwWDITfdoAVDoiMyk5AbK9nnCo9QlOjoJpmJyUzcy4xmJkUKidu1aHbwKMgyrvCQSDSKUJSsJzwtHOGSk5KaBIGz4fFFqSsL6E5kcJwUpQynTuWcP+/R3y+oVKy1YqEgep3ZtzMhqrUdk+oNTbttx6+lJU29rpmd07z6WsblKcWxrsPPVjKfyx7inm/njOVgUwiBdDyEca2boc5xXK9b3JRIx0V2AyFbktcIIW1j6yaCIq0tJajTNmiVo7V12Wu3DUODknvug7PncmuZ3C97Rgy3C3lunZKWluwx1hs2wGw1DZenFKdO51y+bOODdlsTb83x8rrI0hZRZ4Gg0I9vrPpAlrRIkxZbacq7E3xuEMulks/9XmQ9pycivutDIUfv8fjYRwMqFUkYbh+3UisrGv/6mzlvvJHxnz7XYXpGMz+/uWWMUtBuaaanFUHg4jjXP8Zl3sjNwHEDBocOEUWLJHEdpRI8v0wQVG5uwzdAHEMca/7wi3HXShAeuN/nwD6XDz0WcPCAy+7dTldwf+0feT3f5q2i1dIsLtrsxrHjGefOK557PqVWvzklAuEIyy3UV/Istjvd9DImhbLD2O6QVi1ncTolanb92bXhxPMtDj1UYdeh4rYunDaCV1/NCAOBNiC3wS9jekbx5FMJ7Q0syLYTfl9AYbRMOFRk7JHdDBwZXfV+Wo+JZq403xltSGoRacPO0EktImtZ2kgeK+t4FriozlXB/ooK7+bu0a11a78TsPI8mN5rK95HE5sWkWnhmYC5/CKKHDB4BDi4BKLAJXWCtr5CWhMI6mqOklOlKKsIBL4MGXR3WIURE5GYDgPOGIEo0dSLRLrFYj5DbFr0OcP0yWE2I6mntZWTe/Y5zbPPWY3mPbsdjtzjceiQy2OPBkzsdAjDrVK9rtwHmx3j8tyW00+eVJw9l3PuvLWMvnDRBjvbkVlTWUIuWoTlIQSCLGmTZ22kdPFkBel43bFO4YUVHMcjbi/1JH9UnqJV2tOe3KqqitK2n2J2LuWpb6X87udh16TLb/w7eOLJlL17HB643yMIBELcvucqjm3A+fzz9ry//kbGy69kzM93jWVuAzqtObK0zfD4/bhuiJAOC9OvkURLW9reneBzC4gT6wn+B38Y8ZWvxvz732ozNuowMuJw+LDDQL/19x4ZkRSLgr4+64DgOtaBZJnsHMfWMi6KDDNzikbDMDenOXM2Z27OrmYa3UzZ/Lz1Q94Knnku5W//zzWC8MartWXP89NnbiLt0m04iqNFomiRvr4JPL+M5xVxpIMS4pYEeSuhFEQRvPJKxokTOU99O6VYtM5VkxMOQ4M2Y71j3MptVPsFOybgwgVFuSxxPVuu9/0r0lzWFtX+f5rZ1WiSWH/qKDbMzmgaTUOtppmdVTRbtqxuCe2m57WcJIZm69oGsc3AGHj+TxbZsS/kb/zcPpoLGVmiidqK2QsxF451UHlXpqTLkboabwWdTHQt/cLBgIs1yd/8yQatui333wxqNSuxFK1Tcr9l6N7LyWLEzLfPc+FPVmuGmq76xqrX1JXrYfQa12YNjfU4MfzyP21SLMoNu5U5YQGnWCarL2HeCtP0W4h/9ln45A9cMbIwBk6czDa1+NAoUpNsyCpzufs9JUEbhUaxpGaQuJRkHzbUzVHdTCtobibozzJLmVpYNDz7fMYXvhhTLArKZcmuSTvHjI87DA1JyiXBwICkXJYUC7a6s2z563miawNs3aHAKobkeTeblnbHsNiwsKhotw31mmFxSdHqzjuzs5p6Q9NoaJLEECc2oZEkbFtJ1/I1M/KZ41gKl+llPoVwVvQOaIR0kI5HuX8SiQMY2vXL5FkHlScYlW/omm4EUQTnztsM6q98ttl1wxNWA7xfsmePy+CgpFq1Ri6lkqCvLHtziOdZg4hlU41l+80ksdcgy+z5T1PTdSg0tJqG2TlFrWbnk5kZO5c0m5pWy363E9m4ILseBWp5p9uRUQI8v0RYHOxammuMUlT6J3G9Akm8+Y6jO8HnFqA1RDFE3QnzzFnFyLBieEhSq7sMDkiGhhxGR7o3Y0XgB8vBp1hlI2eDT5ietcTg2VnN6TM58/OKM2fVdmjrUqsZarXtK5veCNpokrhGmjTJsw7Q7f7V2aaHY1kMcIerSN+7Yk58NYwhm62hkwwTX5HCsZ2lhkbTio8LYQPKS5dt8Dk+5jA+bsvx1X7BJybg2edzBqohQuYIma8IPgVJqq8En+m1wefMjKbRsMHnzKyi2bTBZ6Npv7cSrhN0y0Rbb8BqNxRxW1MZcIlbiiTSTJ2OWJrO6HQznHluiNoK15P4ocRxBVoZpCMoD7ggsCX6q24yg+k5ETnbTNUQAqQnSbTk2Nmc2QsZrdrbMzgyBss7cyRiDVsmnWlUYvWFk3pM+2LdBpvLDX5rZpTN6lTdBh4KreHUaQVs/Dx51RL+UIXowjw6e2slomRQsKXRbTyObz+9sW1po9FGE8oSmUlQJrfNQQa0UatOv0AgcfFliCcCXOHhigCJJDOpDUKFi2M8cpOSkxGYEIkkEAW0ULjC21R3/Fow5kolB+DSpeXFMFy+7DIwINk57jA8JCmVBYMDkkpZUigKyiWB49LzabfBpyDLDJN74dnnUrLMcq+z1M5Dy8Fnq2Wo17uBaMswv6CZmdW0WteOYduJZT6nTjY2TwnpEhQG0E4KQpAlrV4Au52wTVT27+WEjJQwMqIY6JfMzGoGByX9/SuCz4q9Fvb8d69Bt0F52VY7SQx5ZhcZSWKtZJeDz2bTMDtrdWEbDRt8djo24LxyAnpuOYCh16Gm9XKnmh2vHAfhuehORG9AX14xONJ2JZvu95c7l9aBdFxcL+wujO3iQErPZqW3gDvB5zbAmOVUvS2TL2OzmaXvFB9qlcfMzr5CnieWP5V3yFWM0brrCbvxHxoemGD404/jTwwjw7X5gSbLmf23f0Ryaor45NodptBtdsnh/HnF+fOKF8iQ3WYog+YT3w//w//YZKAySDueJ0pqm/rdG/1ZUjhUy5NESY1OvLDmZ6xI9cpu2mvRP+IhJDzx+XnefKbB/MVrJ+N2PefSiYi+IQ8/lJT7HdoNRVCQHP1AFSHg7OttmyVdAa2w3NBQEpa3zwFkmaOrlSEsSHa+u0TcVm/b4FPnmjzOcYs+buHaQTapRciuY1JxtEz1wBBLx+Ysz1OAW+x6U78F+qB+/zB9d91PMnsZnd0CEthGISXFyb3knRbx1EVuNw0g7ZbJJ72DtHWTplokMWvrEnoiIBBFRtxJAlHEEyFtp05s2syri+z0DuKLEF93iEyLREcsqhkGnDFG3Ek6pm05oUZv+69cruYcP3FtFLjRuebpp+HTP7KGggzvrPnH6Jz63Im3ZN9aw8yMZmZG8+axrc/3a2FD10CKK4KkxqqZyGIB4TroZht8D+F3ucp9ZbwdIyTHTqPjBFEIMXECSiMrJUySYpLU/p1m6Pb6phuO9HDdwGaVu9W0JK6RxY0t/dY7wedNQkgHv9hPZWw/xcFJMJrO4mXqU8fI49ZNp/8F3RUNpufNJIVrM1NGUQoGEUiitMZKXo8jfYSQKJUihMSRHlI4CCGRwiVVHbTOEMKxNxLGptO7XevFYAiAOK2jdLbKreOGxywkvl+hr28XflAhCPsRwmq01ZZObbjcLIsh7kAZf2wQ6XtW23UtOJJw7zi6FV83+Lz6GB3p0V/ZA0A7WvYNdigEQ+QqI1cZIGw5SNvJW0oX3y2jtJWNUjq1qz/hkKu411hlfXBt6c33KjjSAwy5sttZPr+5iu0+dE6uYqT08N0i/ZXdRPESSdYkTtcuaUgHqkMek4eL7D1qgzjHFUyfjZk5F3PyhRYqN8RtxXNfXmJgzON7f3QclRuEEBT7HC6e6HD5VER2FaWjuZDx0tdq7D1S4sADZZamU6ZOR8xdTDj7WpsbeQWMTvr0j3iU+hz8gsTzBSdf7tCq5bRqik5LERQlg3i2yiwgLEp27A0Y3xPiFwS1uZwLxyOGd/rkmeHCiYg8NXiB5Mh7y0ydSZg+v/GgSnoOkx89SNAf4ldDimNl3ILH4U8/SLwYEc+3mX324qrYqHO5wezTFxl7ZBejD08QL3WoHZsnmmlRP7mAUZq0mXD6914j6C8w+fgBdnxgT2+BVT85T2e6xdLrsxs+zq1BIDyPcHQnfv8QKonx+4e6r/t4/UMUxncBAp0lRFMXMbkNiEu7DyIcOxXEs5dQcYROE4q79uMWy4AhWZxHRW2cQhHpBUjfxwkKqCQiXZq3pf382qyTDAq4pTKlvYdRcYRb6iOrL6LiDnlzC+KAW0Bb10lNjIvfbQqK0SZHo8nznNRcaf7KTYY2LaazszjCReIQ6SaqW1Kfzc4hhYs2itykKBTaKBaZoq1r5MaOGTZTuoXOmy1iM4HjOynIfCfhdp1XWSzi7RxFJ1Z2Sni2KiikRO6dRIYhIvCIXn6T5cnWP7AH4TjISol8fhHdjhBS2nHKGISUqEbzusFnniekSQun20gsANcrkHtbU6/5zg0+l+V9ton7se5uhMQv9VMZO0D/xBGMUUgvoFO7TJ5GG3BmuD6kdLvBpkIiu8GNa3UzTUboWSkjpdMVkkbgSt9yZej6rjs+UrgI4eBID21ycsBzCt2Sh+puV6NNTsGvYowmyztok2/qwRJCEgQVwsIgQVjtla2NlGyGhO9UCjh9RZy+4o12iLdjAPfS/MaPEYmUHuWCbRBJs3bv2H2vhOcW8dwijvBIRZs8TZHSxXUCfK+E0h5Kpag0w3UCXBmQq8QS5J2QjLi38PDdIq4bIoVDlNTQOsP3imQq6u0jU7ENPoWD5xboK+20siImh7TByohISnB9W0J3fUGl36VQcjDG9LQ6C2WHM6+2yTNDlhhOv9JiMi7yyPcNWXcvZajNpixNp5x/vYNWxq5xuhzGqK05+3qHHftChicC+kd8lDIkkcZxbVZ2+fNroW/IZWx3QLnqEBQlni+pz+cIAa2aIks0WbLi2RDgeILqkMf4voDKgMtcJaFVzxmZ8Eljw+JMRtRS+KFk8mCBVl1tKvgUzrLIfBGvHNjOdwN9B4dwLzfXXNzEix3qx+YYuHsYr+QTjpRIazFqmcdpQMUZc89dYvihnVT2DeAEXm/4SZY6pHV7jCrOrdtalPfc2pJaTN5JrQRTIwYh0EpvqjoAgBQ4YRGvOog/PIZqN3EKRRD2deE4BIOjVis4jcnbLVTcAWMIRsa7wadBJxGZ2yBrKILhHXjVAXQSo5IYoxV+/xAyCHH8EBkUetvI2801g0/hOEg/6AXEKmqj0xijVmfvhHR62ZTtzoymJiY18TXVBGUU6VUBosbyOZt67exgUy83V6xu5Mp1SoetZYDu4A42A+F7OIP9yDjBGINwHUAgHAd3sB9RCBGe26UJCXAkbn8fMggQ5RJojfJcO3YbsBpKAp1dn7JgjEIr27DXOxbpbLm56zsw+BQgJV6hghCCPG5vKwH5akjXozK6j7AyjBvYICmsDFMa3k3SWkLdJAelHAxT8KukKsJ3S4ReH7lKrJMQBkd4SCEph8N4TsFmMoG+wjipahO4O0DQDSpVb6Xju2VC4TBavQulM5ROyFW6artZfn3f6/XgOAEDQ4dZmD/G1OXnMCbvCThv2F5TSgr37CHYs2MDnxWEhybJZmvguZCrGy5DhRBIIXEcvxd8r4TvlRHCoVrZRbN9mbmlYwz27UdKhyyPGSjsxaCZmn+J/vJuiuEg56e/RehXqZYmqbfOI6VLsTCE0QrHCeiv7GF64RVaHZsF890i5cIo1fIk7XiB6Xnb3WmD3JArjh6rUR312HOkRN+Qz8y5hP/n759bHj/wQsnHfniMx35whCd/f77nyX7hWIdLJyNe+FqNoOwhHUncSslTg87BDV0cV+L4kixWZLng3MmEM79oM4Fe0SWNclSq8asBBU/ieBK/tDbfp1hxKPU5nDsWszSX0VzK+b4fHWXmQsLUmWsDRqNtUHrypTYz5xP2HS1S6nO495EKp1/toLXhXd9dZfpcQhpr0lRfQxW4EVSc8+avP2v5UCsCZ9PlPa0V90SzLeK5NvMvXWY54NDKlrp6x64MjbNLNC/UOfeHb7JygaWV7n129tmL8NylK/sCXvmVJ+3+gTd+/VlAoHO16fhL+gGVg0fJW3Vax14lbSxS3LWPvoFhKgePktUXqb/xAqrTxikUGHz4u8jbTVTUQceRDQyTiPKhe8maS9RffwEnCDBZSu3lb6MiOxYUJ/ehk5i4dpl49jLB0BjVI+8iWZhFx9dmQFSnhU4T0sV50sVZaq89Z+9ps3ICc61IeBaRp51ex/K2wV7sbZ4D7qQP7+AtQpfP6YyPYtKM9MRZvMkdONU+VKOJWVzCZLkNUvsruCND6HqTrNHCXJpGN1tgIDi0j3xugXy+RnB4H6Q514tWPL9MoTSM5xYwWF/3PG31BOc3i++44NPxAvzSAP2T91jv0Uuv2yAw3eYBrQujFUlrkTxpo/MUYzR53CJtLd6Uj3kPQiClR6Hrpaq0LQELRK/ca1/P0abdm/ZynZBkLaTw8JyQwK3QTuYxRhO4ZVwnsKsWITBolM7tdoVACg8pXKTY3IpGCAfH8XG9Ahhjs4R+yZaWu2N1pjtsaOAW4O8cwh2pbmjf0nNxKkX88UGy6UVMen12vDaKXCUolWGMIslWe9GnWZsoWaIYDqJ1bjOaXgGtFVGyiOeGSOnZzKXj2axz15FESGnPq9HkeUzoV3GdkCzvWApDlw+W5hHtaJ4wGEDrDEe6tpSvUpTOyPKING9fc74cRxAW7LVRmSGN7KQqXUFlyEFKgbqqC9JokKFDaUcJx5UIKXArPipRaGUoDoXdjlKroNf9Fjq32SghBAVtZZzSTo50JW7gIL31+KDWkznPNFmsSWON6wlcb+1MqeMKxvcFlCoOhYqDyg0qNziuoLGYIx3B0A4P6UC7rrh4IqaxuPkOiOvZ6q6JrlqAyqw2KNKxCxVhEIFrCWDGZiNMlqPSDOlbXpTJMoTrgWNAZ11d0au4tSs0QDd9bCsghEB6ns1sZik6SzHdRZhwXZDSvp5nSBUgXQ/p+Zg8RyURRmWYPCOZvUzebqKTmGjqAk6hRLhjF1ljyf4eITEqRyWx3Ye27hXX1bW0XVvdDtl8VeDpegVcr0hY6CdBoPMMiJGOi+OGaGX3sfwMCun0qlquV7hBoCqQjktYGsYLysStOfIsRuW3rxz+lsB1cEohTqWIN9qPDH1kMUT4drof/MEP9TqgdZKhoxQdJeQLDVSzQ77Q6N07bzmkQHgu3tgATrmAO9iHLASIwEX67pWFRZaD0ugsRzU69vcsNsmXmuh2/Jb8FuG5OH1F3KE+ez36y8jA8jFtthI7vqQZJlfoNEPV2qh2ZK9FK8Ks0YClOxHphSnk/CJGaVStYWlz84voKAFtGyB1O8Lk1qzCRF0VgFxh0m5DpDyHbrXt9k6fR7Wu78+exnVaGKL2PMsNR3mebHmx+B0YfIYU+scY3vcwQkrixix5Et2y4FNrRdyYI2nXyJK2HcBbi8SNuQ1bfG0EvlsmVzGZ6pDlEUI6eEIAgRUyV5HtJu+u7jMVEWdNpPRxpIfnFFA6QxtF0fG7QauD1llvu2nesaRiR64qwW4M0gZofhHPK2GMwvVCwsIAWdbubSfP42uyjGtBSIk/MYw3fOPgUwhhB9xKgWBymHyxecPg0xhtg88udzPLVmZ5BWnWphXNUS6OoVSK0y25Z6ZDlCzhe2U8t4DrhN0g3XJm7X+23KFNTpp3KBd34DkF0qyN6maXbedjh3Y0R7kwitIZUrrkWdwNilNyFa3pBiWEQLqiF8d4XYtKz5cMjfs4jqBdv1Z/zwsdBvf09awxncAhj3JUphncW7ENWYnCK7qgDVmseqXoPFZIR2C0YeF0HSFt8HlDFkU3I+usiFGt3JLAcQSy+58fCHYfLlCqOgQFydzFFK0NQkJjMScoSKpDLkFRUl/IeO2pJp327WtSkp6HcF2E66JTy7WSQWBLVcbglsqoOEZFGlmwnd0aK3dkg9dbrTYhMMuZXFZLbF2RqaHXCWuWL4wUXa1Em82Npi+i4jY6jolnLuL1DdB3z0MkcyF5u2m/q5QNPNXGA5Tl5184blf2yXLYvaCMH/QRFAdQKiNL2wjp4LgBQaFKnlr5HJ3mSDewNovSTlteUCbPk/WpVULgOD6l6jjF8hhLOofO0ndu8LnM+yuGeCP9+BNDFO7ZgztQwR2q4pRsw+bwX/kwRlupHNWIyOtt1GKT+MRF0qkFTJqh2rENQLfZZUt47rWqJcZgcn1tp7Ujkb6HUylQOLATb3yI8MAEzkDZUrJKoeUtCjBR2g2kE9JL8+SLTeLTl4lPTZHnGp1m9j65HTGoEAhXIksh/vgQ4aEJvNEBgt2jOH0lZClEFgO66UNUO8LEKaoZk5yfIZurER+/QDqzhKq17LlZqWkbxWQXVlvwqkZzzUPRzRb57NpNrWqpduXv2o0pI0lc35Kk0nr4jgs+3aBEZXgvjh90V9G3FkbldJYuk7z8JaZf+6ptBMozVBZvC9+0GU3TiueQXb6SWeGdbkm/y93a3Ym4e4+2kwXAECWLxGmdevsiylipozit96RAhJDdhqO1tqvJdcZGnlgpHTy/SLk8ThBUyLIOrhtQKo1gzLA9tK4EU55fP2gQgYfTVyTYNYI30r/hc+UOVCg+cJD45BS6tbHFhkAQ+BXGho5e9c61WapWZwbXKTAx8jCBVyJXCUuNc0hpdc8mRt6F55bwvRL11kW0UggEruPjuj5J1uhmlp0bxmxCSKrlSQKvwnztxKqGr6XZlFe+UWPyUIH995X4iX90sEdrAMHJF1t8/p9dIm6tPs95oqhfajF8uJ+gzyeuJRR2lPCLLkYY0NisaDewFY4kj3O0NvhljzzOSTsZC6caOL4krAaM3tW/7m/wA8nDH61itHVOunAiojaXM7Ir4L4P9DEy6TOy0ydqKfqGLI+5UHIYGred+WbFfBR3NGffiBiZ9CkUHdpdR6fbAiEo3nUPMggw3SDS5BnZ4iK0mhiV4w2P4ne5V9niAjIs4I+O4pQrqHaLxrNPW07ktnndrYZOEzpnT1DYuZvS3kNk9SWcoIDOMlqnjyFcl6GHP4jOM0yW0T57grxZQ6uc6j3vQqsM1emQLs4iHMvjKuzci1epWj6o2BxfeyWMMaRLc8iwyNB7v4vo0llIcgpOP0bnCOlSqIyRJW1iucjgjiM2K6dTqsP7ydI2C1Ov0T9yED/sI+5YPuborndx+fQT5Fm0ZpVJYDlpjuPjeP6KJsDNQWIXlBK321AErrCWnMYY1DIfH4knQ7TJyUzSc0fqSTvBlTF8u6Mg16F49y7C/TupfOh+G5gFvs0OWq2lK5xmR1rpMNdFDnu4gxXYPUrx6F5MlqHjlNZzx0nOTNN86nVMnq+imWwZUjD+P/7X+LtHrXQe2MxdK2LpvzxJ84nX7Oe6wVvfhx4g3D9O8cGDyNBHeI5dADqyt3CC7nUuhchiCP1lvJF+jNZUHr0XVW+TLzSofflZkguzZJfXDsS2C061hD82SN/jD+GPD+HvHOoG3BLhOt3qiVjBlXdwPdcuYEcM/u5R0BqT5aTTi2TTi9S//BzZXI18ce0A852K77jgU7o+QWUQ6Xi3JfgEW3rPkw6wNY7k9aCNAqPWVve7zniwPMjaoFKjzZVzkd8o87iFccZ67makSROt1paVMVjNvRvB6a7cReDbgWaDkIUAf3wIEXhdMvWNf0g7nseRfrfr3PJYmp2pXrk7ipfIdUyuUuKkjuMkluuSRyidonRKkjYtj9Yrk+YRcVonyyOkcAiDfuKkbsv6xiCliyNdmp0ZkrSJwRCltW7nfIbBoHRGszNFrhKbKb7qgqjMEDUV515v05jPCMvOlfKwgovHO8xeSFDq6u9pOosJ9Utt/KWEpJnhFRP8okthMCDrKOJ6Qnm0gFaGznxMniqMNji+Q54osk5OniiMMiQypTmz/j2vtWFpNiNPDWmimTqT0G4q0kgzdykhiRRLsxlzl1KaNatTmsaG5lJOp2XpAMZAEmlcX5AlmsZCTpZoy7u8jZBBgAwLGNftlrJUj+MoPB+nVOplBWUQdNUZHPvZbDnrcuuO2WhN3mqQ1hbsfdBpkzsNRH2RrL6I8DySxZItTeYpWW0BFXcwWhPPXrYZmCwhbze6ZfuMvFXH5Bl5u0FWW0TFkX3OO237240h77SILp1Fpddp/DKaZGHWdsoHBVQU4RgHv9RH1JxBZxEqi9DaBml+UCZLO6SdJmFxEFguzxeQjksW20nY6gxaetBaI6TBoFWG1rl9ZrPOljj4oSx1m5U0gSjYpkARkJmY3NgueI3tnvdFgBAhgSniS+vxnpmkdzy5ych0grouu27jEL6LUy4QHt5FeGCcYHIUb8cg0ncRztq0qR5FQgA4CAfwgBCMDnCUpnBwAqcUYjJFcm6abKGxSkN5q3AHKnjD/YjA6yqgaNtUWi1b6opSeMNV/F2jFI7ssdWvkX6b1b0etWPFe72SNiADD1kMKD14AFkKEa5Deml+2zO6dCt1/s4hwgM7CffvxB2o4PSXbmy16lwJovFXhGRCIAsBpXcfJjk/Q3JmmnRmyfY0fAfgOy74dPyQQv840vUh2f5g8A7WhjGKLG1RT1s3/vAN4A6UCQ/stBylNR7clVSAlQ+2Uy4Q7NthSxpSshFNp4W6daRZziArnTKz+Hrv/VrrXO/vKw1Yqztdo2SRKFkEJCszpqXCCH2lnUzNv0SuYoaqh/CcEO1kzC690ftcvXVh1TFleYfphVe62ZJr7RGNgTwzfPsLa3fkrgeVaprTnSsBY5fe6fgOez+wg+ZMh7ljNfY8MkYWKy49P3dl11cdRq4UeaKIltYLOmyX/WvfbtJczGkuraYBPP/VtSdfKW2S7apmaKrDLlobps/aDvhbLGJxDYSUdjIXAp2m6CQmW1zAKVdwS2WcSh86TdDtNrJQACnJO21MbRHVbtvs0a3knRlN3m6Qn1mZHVm9v2R2uWlq9Xv1V5+hS1heVa3J291S3EqHlKsUo7LaArXaDbJJxthspxD24mpFUBzEGylTmztB0lmiUB7ucscErl8ijRu065fx/KLlVgcVpOOilaJZuwhAHNWu8EDXetSNIc8i8ixCZTFpp47Wmwv6BIKqO2wVIHSLqjOMLwv4omglnHSEIqOjGiSmTShL+CIk6H7GoIl1C41t+OzoJh1TR5ntCT6dcpFg9yjDn34ct7+MUwzX/WzPVeuq+1BAb5wV1rTcNnse2EnhyF4Wf/9JzMunyKaXtv0eFlLilAo45QKyUsBEKYW7d9P/ve8h2LMDGaxoaFw+/vW2tcZcIUMfGfr0f/w9+JOjeIN9LH3x25YHup2/w3Mov/duCvfspvzgweUDuuZz16OxXX38bn8Zt1oi3DNG57WztJ49Tv6V521D4ncAvqOCT69QJSj12073Lbb/38FbD3ekn+LRvb3SzNXIphZQnYRw//jqB9yRyMAj2DOKiVOSczMb3udmdEzXH/5WbyNJm8wuvUkh6EcIp9fEFKfN62xj5V62X3amu+FVf6vUBpoq1RhlmHp5odsBvs531tvWCrTriqXZlCTSZKnZcLVZr+FKuP/eIgOjHpUBl/PHW8ycS257/4BqtchqNZLpy9DNfAKoTgedJOTPPw36ajUHm32/urv71uJG+7nOhbz6GLebImAMdKsuOk9o1y9R7p+gOryfUmUHKs9IOjU6jSmk9Bjd9TBBsZ80btJYOkepbweOG1znN6wNgUQ6PgNjdxO1Zuk0Nz4ugK3WZCahpZYIZBGlNR2aZCbuOSf5MkRrRSjKCCFIdERMB4EkECGGHN0NUjNz8xlEEXi4/WX6/9IjFA5O4A1VV2X8roYxxjaaAPlCw0rxeC4y9NaVSxOuiztYYeAvvJfS/QdY+I9fIV9sojZIadoM3P4y4b4dFI/sJdi7g2DXKMJb+/eYNMdkOTpOLX3Ac23C4QYZxmDvDtyBCumlOZILs6QXNy7Ndz0U791H4ege+j54/41lAZWyzUWd7qJd2uymcBy4zvUL9o/jDlcRvkt86jKdF0+u+9lNQYB0JKXJKm7JxysFlnZ1g3MZTTVpnL45CsM7Nvh0/AKOFyAdDyFdpOMSlAcpVMd6dk/C8Qj7rLadX1y/cSWPW6gs6ZVz1oQQlgfVN4Z0r28nlScd0qjetbTb2EAZlIeQXoDj+sTNeXSWYAAvLON4oc3kGoVWirRTQ6vMdo4KiXQ8/FIV6fi9oDvsG0Vlsf1NG5z4hOPiuD6OZ8+t7dq22zNdmSSdZ1Z0PW6htdoWXusqOBKnXLBl96tK7kYbTJ7bLsZ6m3DfahkmIayWqDdUJR9qbCr4vBVQOiNOataOT0Kad8jyeNPZl1sOA3H9yoSYNG/++NoNhXSsS9JmJZGueWS6md76Qk6rlhO1t8Db8xyEK6/ocwIydMGATm7QGGggbzbQaYqq11a/pxVGK9SK87dRysefZ2idk3QWCYqDSOl1rXgjtMpIohquV8QP+7qZS9t0lMYNG3wuK2fErVVNlushS9sknRpbWcgZrE6oLZXnJLqDErlVy8Dy4R3j9jzdM2O1FzOToE1ujTuk1evNTUpuUvQmLFLXhBQ4lQLhoQnC/eP4u0YQvrsqc2ZUt6Go1rKNOHFqA55DEL15vhd8OsUAEXjIwLclYs9FejYsEFIgfM+afAQe4cEJ4tOXUVGy7WVrd7BCuHcH4aFJvJEqshBc+R3LHeyJ/Q06TlcFn3gubqVoewUKAU611GtsWlUZKwZI3yXYvxOd5TcffEqJWy3h7x6lcHgX7ki1d+6gm+XUxnatxymqHdtjT6y6AGBL68UQ6bvIQoCsFJCBbykC3fftsYfIwKdwaBKTK5JTl1Gd+Kaug/QdwsEi4XCRyr5BvJKPWw6QjrwhvXtRij+vwaegMrqP4tAuCn0jNuNZrOIV+1ZlPP1ilYkHvvcG2zIsnHme1uwZZk98a91POa6PF/ax/9FPUei/vvbk0oVXmH79z+gsXtqY16yQ7Dj6YUqDuygNTXL2W/+J5txZjNYMH3iYvh2HKFZHydOItFNn6tU/JWrMkTTncbyQsDrK+NEPU6zuwAsrAEw++L00Z88wf+pp1Ias9QRBsZ/CwE6q44coDe3CDcu4vl3JGa1IowZxY464Mcf86WfJoyZ5uo3UBiGQpRB3pGqJ11etvkyubFfmyUtkCw3K77mbtdSggv070WlG+/m3xn5tGcYo0qxFmt08FeGdhulzCdPnbvy5jeD0azd/j/nDZfz+As3js5jugF2cGEBnis75G9EXDPH5sxvf2Z3A84ZQeUJz6QLNpYs9WbJlpHENENe8vjTz5qptLM28saF9NRZO01g4bTm4m14sG5by6d6/6so6oQlEj4vdVFfunyjbpozUdSADn/DABCM/8j04leKaGU8dp6hGm9qfPk96fpb4xCUbrHzibzP1y79jP9TlFHrjQwS7R6k+/hDeSD/yaoURz8EdqjL86Y+y9IVvkS000K3tlS8qHN1LeGjSZg5XjPs6Sclnlmg8+RrJuRmiNy9YZ5+VpWcBTl8Jb3SA4j27qXzofryxgV4AuwqOpPr4u5ClkPYLJ28ueCv4VD5w1Jbbj+699gPaZps7L54kPjtN+4WTVvrp6syxtJ3xwfggpffeTbBnjNKDB6/NPkpB6eHDOH1Fstka0WtnUI2tjY3CERSGS+z6i3cz+dFDFHdUEM7GGwrP/N6rTH/jzJb2vYx3ZPAppKQ0OMnArvu6WUGvmwFdrTd3Q6IvK56fG3zWGIPROWmnZjOuK/cpV686xY2WDWv/qt5qwytUKA1OUBk7QHFwgqA0iHR9XOkgXZ/Rw4/SnD3F7PEnGd7/LoqDk5QGd+H6lpAPUBrejV/sJ2kuEDVmSZrrr/LCvhEK1TEG9zyIV+zDL/ThBiWE4yK7wbzp2og6Xmg/3zdCe/EijakTdJYubyzIvtEZcCXh/nG84eqa185kGenledKL8+S19TO6wcQQqtG2+j7bTSy/g3ceBAQDRQoT/bTOzGO0QUhBef8weSclurTU1eC8g9sPsw4Pbr3Xb2JP26G7vLytt0pkXgjKj9xD4e7dOKWCLTuvzHjmygZpxy8QvXaW5OKczbh14ms58Magk5RsZhHd6qCWmvi7Rik9cIDw0AROudDdpcBIkMWAwt27MUlO/U+eQ29DA9IypO9hXMvxt41Ihuj1syQXZmk/f5JsroZqRXafV9NBDOhOTDa9QKsTk9da+HvG6P/4w7bx76rgXBYDvOEqhcO7SM5OX8lCbuZ4SyHejkEq7z+Ct2Nw9TUwBtVok15aoPnEKyQX5lC1lg0815IA1NpKRE0toL/5KtEb58guL1C4dx9BNwkjxJUsrjc2QP/H3k2+UEcn2ZpaoDeCW/SZ+OghBu4exQldpr5+hqQWkdYiW2G8wbNXe3Puuu9v6Bg28qEnnniCX/mVX+Gll15iamqKz372s3z605/uvf8TP/ET/OZv/uaq7zz88MP8yZ/8Se/fSZLwsz/7s3zuc58jjmM+9KEP8Uu/9EtMTExs6cCl6+N4lv+j8xSdp4jcRToerm8fGqMVeRphdI65Dn8pT9o3zg4ajVY5SWMOjLEBaLfs7wYlHNe3pfFtgFewGdzK6D6k49myXhb39lUe3WctGi+9QXlkL4WBcaR0rB5e16/ZL1bxwgqFgXGUStcNPqUbEFZGqIzsozpxd7e8bztidZagjNWktMZRDm5QxC/0UagM4/gFVBqTtJcwib75wV1K/PEhnL7S2mTtTJHN18kWG6i6beIwntO1EbsCp7+MO1BBBh46ye4EoH+eIcAJPbyBIuFYBb+/iEpyhBD4gyWE25VtEVdxXO/gDt5u6JbBC4cnCfde1YyDDTx1nBKfmSJ67RytZ0/0pMHWhdLoVoRuRWRzdfJaC1nw8Ub7bSnfc3uBj/A9/PEhyBTNp16zjS/b1Pwi3CvycyZX6CQjPn2Z6PhF2i+cuGGW1WQKlUWoZoRqJ6hmh8rDd8FgBWdF8CmE6Im/+5PDpJfnYQvBp1Mt4e8YJNi7w6qrLB9Ht9Sez9VJzkzReuZNVCOyIvjXQ67ssTcjspklMOAMVqxAfXcR0Nt3pUDh8CTeSD/5QoN8C8Gn9B0Gj44RDhXRSc7CK1NE002i2RY61zdMameNm2/Y2lDw2W63OXLkCJ/61Kf48R//8TU/8+EPf5h/8S/+Re/fvr86EPs7f+fv8IUvfIFf+7VfY2BggP/9f//f+at/9a/yZ3/2ZzjrSEKsB6MVl17+Y6Ze/dMrLwpBcXCS6vhhxo9+NwBJe4nLr/wJncWLpO3autvTSt1Q+FyrHK2anH/+D+xKpPuoSC+gf/wuBve9i/6Juzf1O9bDwO77UElE0lygdvlN4vo0xYEJ+sYPU915N44XUBndz573/gB+sZ8sbnLppS+h8xTpBsBfQqUxjhfSP3kPYGhOX1sOkm7A4J4HGNh9H9XxwwjpkMVN4sYcSxdeJW3XyKKG5dS6HoXKMJXxQ5SGduOFJSqj+ygN7UKrlPbCRTpLl6/Zx2YgPJfiffvsALcGdJwSHbtINr2ITnPSy4t4o1Xcann1dnxLxg8PT5KcnUHV/vyVve/Awgk9Bh7azcBDu6kcGCYYrWBy21wTXa6TLratiPMd3MHbHO5ABX9imOL9B/BG+695P5uvk16YY/4/fKXrbrPJwFBrknMzpBfnQAoKd+2ieN/+VR/xxgZx+8sU799Pcmaa5Oz0OhvbOtLpReLjF1n6wrfJFzbes7AMVWsSn9IsfP6bVB9/F8V79lzzGbdaonh0D51Xz6Dq13f2WQuVDxyl9MDBK7J+XZhcoaOE+f/4VZKz01vS5tRRQvvFkwjHIV9o0P897+25UwFWMzT0KT10EFnwqf/J85veh3QlfQeGaJxeYOm1GS780THyTtpt4bg9q/ANBZ8f//jH+fjHPw7AT/7kT675mSAIGBsbW/O9er3Ob/zGb/DZz36W7/5uGxj+i3/xL7jvvvv42te+xuOPP77pA9d5hhZXIn4hpM3WrdRoMcuC78n1/UdN739uiOXsXu/TQqJ1vq2NN44bkCdtFs+/TFSbJosaqCzFDUoUqmP4xSqOGxBWhmkvXCSqTRMtTaFV3s0G28C7OLATv9iPG5Sv2YdwXLxCmerE3RT6RhBCEi1dpr10mcb0SeL6DHkao7O4K1DskMdNsqRNZ2mK0UOPWMqD41EZOwhC3lzw6TjdFfcATmX1Sq8nsZHasvtyp2A2NY8MvVXB53JpQoQewZ4x8rn62yP4FALhu/jjQ7hDfZaTFNiSkFHaNgW0ItLLC6h6m2x26cabDDycUoFgz6i1nSsGyNC3nEalUZ3YrqaXmiQX59DRGiWrW4TlhgZ3yNrhyaKP21ey2RTfs+9LifCsmLx1OVFWYFlp21iQpOh2jGp20O3Y2v7pzbmU6EzRubiEDFzSxRbt84u2xG4MWT0iq98a57PvWAiBLBdwKgW8YdsY4pQKyIJvs1ee080kLzeLKEya25Jpx17LbLaGjtJe9/U7AcvGF95wFVkMcaslROh3G3ScXgBiMmttaHKFbtsycb5ccu0kNyXx4w6UKdy1y3ZHr6z2dMfH5Ow0nVfOoKNk84Hnim2ZXBG9cQ60oXD3HnBlb39CWje5wqFJTJJta/BpjMFkOdnUAu3nT1he6RbHKx2nJKenUA810Ul2TUOWCH3ckQHbmLQZdBti/dEBvLGBXkl8Gflik/jUZbK5Oupm5Jy0Ibk0B46k77sesM1f3Qyu6DoP+rtG7Zi+BXqZteOV6EyRNGJ0rm479WjbOJ9PPfUUBw8epFqt8uijj/J3/+7fZWRkBIAXX3yRLMv4yEc+0vv85OQkd911F9/+9re3FHzC6jKZWbZDuSYI7Dr3vIOaAIR00HnO0oXX0Hlim306dYLyEKXhBdywbBugnD7aS5dozZ4hblgOxnLpP+0Gn15Y6TYNrRZqdNwAv9BHdfwwjutjjKa1cIHG9AkWz7645nGlrUWi2gxe4SwDu44ipYPwQipj+zA6Z+7k01sOwqXv9sTlZXE1UdwAaOtDnE0voaME4buklxdw17HflIFPsHsH0evnt3Q8N0TXYeOawUsbG0BdRYgXroPTV7QdqgcnKN6713K2Cj4myVEtOym3XzhJemGOfKlp5XzWcxaRAqdcxNsxQOnhuwj3jdsSTbUEXZ/gfL5BOr1IcmbK+gXTsoH7rXoWus4jQgobkJRCwgM7cQfKuIMV/J3DyFKIUykgwwDh2gWHUdbe0SSpnbyz3HobNzo2mzO1QL7QsJ2iadefeIOTq8k1nfOL5J2U9tkFOucXNjfISmE7aqW8IS98KxDhFqk6SttA/HZRSrrWjcL38Ib68HYOUTg4gTtYwRsdwO0vI0Ifp+B3z5WVxNFRgmrHZLM18sUG6eUFqx5Qa1nqjOqO2bdyeO5aBQtvHd3grOvgc/Vzsfy97rPrTwzbruahPoKJEZz+Um/B17N57HQ7sZPUBiC1Fsn5WeKz0+QLdbLMem2zyUUUgDvQR3jXLutatPL4AXJlg8+XTt64xLsBxCcuAQKTpAjRvabLkJLw4AT5QmN7lR2MDRrTywu0Xz51U5xSk2YkF2bJay10nOJcdc5k4Nnegk0Gn9Kz8lPuSBVvqO/K/pbtoxcaRK+cJq81t8TFXIlsegmT5Oh2vCZ31Z8YRkcpwnMxJtu0C5UQoHONivO3hHIkarXapnY7MTHBL/zCL6zifH7uc5+jUCiwZ88ezp8/z8///M+jteZrX/saQRDwn/7Tf+LHf/zHmZ+fX7VK+MQnPsGBAwf4J//kn6y5rxMn3tpu5Tu4gzu4gzu4gzu4gzvYHA4dOnTd97cl8/mDP/iDvb+PHj3Kgw8+yH333ceXvvQlPvnJT255u+95z3s28WlBeWgX1Ym7mXjgewCIG3NcfPELtOYvkLZvXMbcCqQb0D9xN8P7H6Z/8ggAS+dfYer1r21KamnPe3+A0tAkpcFJotoUrfnznP3W77BySVIe2Ut1592M3fUojl/AaMXxr/4azdkzmO5+hHR4+tvf4of+9i8weugRABbPvcTZp38XlXR6UiOjh99P345DDOy6r+v+UePYV/4VWdS8YfZSSJfhA++hOn6YwT33A9BeuMClF79Ea+E8ebJ5Dk3pPXdRPLqP/u95z7Ure2OIXjtLdOwC8/+hy/N1JN5IP/3f+176v/c9tuS3knujNSbNmf03f0T7mWPkGyi9P/PMMxu+54K9OwgP7mTsxz6xSo80nVogOTPN7K9/kXyphXAlpYfvonBwgupH322zJNcRE4ZuyejiPM2vv0TnjXMkZ6Z72QVZDAh2j1F61yEqj96LN9gH3urffjWMsVpz2eUFGl9/mfZLp2xZ/yayZsJzEIGPv2OAb/zmf+Zjf/cnCfaM4Q724U8M41RLOMtSJ9uQMTTdbHI2tUg2V6P9/AmSi3Nk04vkS83t8Z5eA8X791P5wL1UPnAUp7S+e8xW8O92/0X++vkvbPp7RhuaT7xC541z1L/07LYe00rYLHWR8KC1C/QnhincvdvSRTZbrlxG9z5WUUJ6eYH4+AXSywtEb5wnX2xsWDpmM8+qt2MAf9coO/+nH7xGfscYw/xvfYXo9fNEr5+1L7oOwe5R+9/eHZTedRi3WsQp30BA/HowxmpLXpgjPjNNcm6a9osnUY22LS9fD1IS7B2j77H7GfzE++1rK0u9jTbNb75K84lXid68fqVnM+fNGShTeeQI1Q8/SHjw2sbg9sunWfrDp4heP2+76W8EKdj993+UYN94z15zJXScsvB73yB64zzRa2c3dIw3QvWj76b00EHKD991zbhrjOHi//lviY6dx2TXr6Qsn7dgzxjD/83j3YpO5cq2tCafr9P4xiss/PbXtk57uAqy4DPwiQ9QPLqX4r37rnk/nVpg7t//KfHJi+Rz9Q1v16sE7P/B+yjt7MOvhpz87ZeIZlskixEqya3JyE2OqbVa7brv3xKppfHxcXbu3Mnp06cBGB0dRSnFwsICw8PDvc/Nzc3x/ve//1YcwjsaKktQ6bUPs9EKlVsRY2O09S3O017gaT9kep/toSuQb0sk9iW/NEBYtTIOedIhbi1a0foNls2zqIlKr/DlpOMRVIbo1KdhC8GnNzpAuG/Hulpj6eUF68m7DKV7gYeJUkQ5XDUgiy4p2xsdwBsfIq+3bwv1QnapAziOdVwqBPR98D4K9+y2wsEbCMRk6FM4uBPdiXH6iqTnZ+1gJgTuYB+Fe/bYSci9ttN/LQghcCtF5F6Pwf4y+VKDvNbCbKHLs3eMhQB3qI++Dz0AwOiP/oUuN3j7S9PQvZ6+JNgzhr9rhMLdu2l+63Xazx6j/WIHo2++1HgHq+GN9BPs28HQX/mwvX/W0k3cLFaIZhcOWpF01exQ++Nnab94CtW8cNspUu5ABXeo0js+WQioPHovxXv2ULhr1/bsRAik7xEe2Im/ZxTdPoxJbGd60ro+b1I4An9yBHewsjZtIMmIT122Y9w2wkQp8clLlN99V6+svEq0vVIg2DdOfGoKNhJ8XndnBqMUyekp8rnazW1rBXRkO9/Xw3JH/42Cz2XIgm8tnK9eiGpDOrVIvtjYtsATwChDNltD7Vmbmy48l2DnENmleXI2HnzmUcalr5xkz/fdw/BDE0w+fpDaiXkWXrhMvNhBJTk6vc7v2IZH9JYEnwsLC0xNTfUakB588EE8z+OrX/0qP/RDPwTApUuXOHbsGO973/tuxSG8o6FVtmbG1Mo4WP/BK4HoRoJFgRCrgxSvUCEoDQLgl6q4QZHDH/l/37Drv7s1HL/Qk7QCm3F1vOCa/dx4YwIReF3ZirHV3KIVSM5NE69Bbs/n60THz1O87wAiuPa7wa4RdCsiOn4BbgOhWhYD3NF+ZGBlSSqP3EOwaxSnVLjxl69CeGAcp1Kg8cSrqKUmJs0Z+L73E+zbYa3YNplRFJ6DM1CheP8BhOvQfPL1LU/0shTijw9RvK+7Gnc2ed1vBt0AofzuwwT7xtHdJoVspnb7juE7GM5AmfDgBNXvfohg1wjuQOUat7Ftg7D84OpHHiLcO058ZoqlP/yWzaTdomz21fCGq+Qj/QCU3nWIwt276Hv03mskbrYLwnFwSgUG/+vH6LxymvpXXyQ5N7M+R1BKgolh3P5rG0eBniyRamxv8KnTjOTiHHnTytoJd3W44JQKBLvHkIF3s55NFkrbAG4bg2jLv83WHeeE59pO8s6NF+KyFOL0lXD7SteMd0Zr0kvzW+puvy60Jl9qrJtZFp7bFdTfHHfcKwcc+vRD9B0Ywi377Hh0HyMP72LfJ4/a5qNuE+h6uPxnpzn5my9uap9XY0PBZ6vV6mUxtdZcvHiRl19+mYGBAQYGBvgH/+Af8MlPfpKxsTHOnz/P3//7f5+RkRG+7/u+D4BqtcoP//AP8/f+3t9jZGSkJ7V09OhRPvzhD9/UD/iOhFmrcWr5PbPiYxsjrYur/5IO0vF6NqHSsYL55eAmykpwJbu6GTjSlmgrhTUzK7ZzNCevtdeUxFDNDun0IoUje4FrbU/d/rKVJbkFzSJrQTgSGXo4Zft7woMTyErBDla5QiUZJrNlDeG5yOXu7zUyhk4xxAxU8HcMkjkSHacEu0dtZnW5u7Yr7WFyZbfpSmTgI3zPNjpdnQ32Jf74ILrZoSnf2HJAbnLd7SLtWtluwKSBruWfSbtNF8b03IZsdl7acr7rXOlOXWO7QghwBE61jAgDCocmbff6XOO2dfN/p8IpF/DHBinctZtg7w68keo1Hb0rsdz0pJOsZ+m4rB4iHMcGrY5Ehv6a2xHCdk97Q1XINcJz6LwySjazZBtaNoSeQuSWfrMsF3C72sDBnjHCQ5O4gxXrt73yt/buYd3TD7aNrqbXaCe6jSHL0jhrnTd7/0r8HYOoepvw4IQVUc/UmvevEPZev7oRE67QUVSjg1lLwPxmoA0mSruWkNk1wacIPHuebkAj2giM0ug071pnbmPmUBtQ1hJgzTtYXpuYWQ+yGCKLoa04XX1dDahmtK3C+93NouNs3WyqkMLeF5u8BsIRBANFhBBkzQTHd3ACByfY2ILL77t5CtKGgs8XXniBT3ziE71/f+Yzn+Ezn/kMn/rUp/jH//gf8/rrr/Nbv/Vb1Ot1xsbGeOyxx/j1X/91KpXKqu84jsOP/uiP9kTmf/VXf3XTGp9/HqC1Qd8oo7kiC7opCInj+gjpss7juDUIAULeMAi5GjL0Kdy92/Jn1sh66jQjX2yQz9XWlEzK5+vEb16g77EH1ty+NzGCEQLhONtaDlkX3X0F+8bxBiuUHjpof5fSqHqb+NwM2Xwdk2R4o/34O4esrqlc+1GUgUf5PXfbyanZwd85hFzOyHR9g+PjF+3qOMlxqiWCPWMEE8PrDkjhoV3IIIDPfWPLvM98voZqtMnnN17qUa0OqtGx8leNTtdzeoXHcSnEG6xY3ujOoRtndwXI0GPwkx+g8Y1XiE9etm4ltylj9h0HISgc2UPx3n30/4X3bmjBtuy7nV6cs7JerWVBbYOsFHHKBZxKkWDfuOVyX2eb7mg/7lAfCEH7mTdZ+tIzN76WPVc7YWlDWwhAveEqKE354bsov/sw4XVK7apjy7jp+VlUO0KnmaX9+C4y8PHHB60CwNjghqoBwf5xhsYGSM5Ok6T52lJMjsTfOXRN5nNZmsh0rTQ3dd+vs7BjDWUY3eiQLzTxi6upTU4pJNg10luA3gxU15nIpNktWECuf17ECmfBG8EfG1hTX9XuwqBqzZuS0lpvuybJ1g/IHYkshtcslG642VzTuVwnntuaDGHj1PqOiRvFhoLPxx577Lrk0d/93d+94TaCIOAXf/EX+cVf/MUNH9yfX9xqt5WuFmZ3IEnaSyStReqXj2HyrclD5FlE3Jglizd3M8vAo3BwAqdaWjNw1a2I5OTldVeUea0FUtgVcym81krNd202Z2K4GzBtoxf9GrBWdJK+D91nHUikJD0/Q3p5geY3XyVvdnoWcTL0keUC/R97GH98yAZcqzeG8FzCAzvxdgyik9SKGneznfWvvUR6aZ700jwmzTBaIzwXf8cg/sQw/X/hfV1NwNXnVfoushzij/WTL7W2NmAam3XtvH4O/uKKl7s6gfm85ZWmXbkTtdQkb7St/M5ydqOr6Wl/qy1HCt9Fhj7eSBVvxyDhgQmCfeM4a2R9lvXuhO/h7Rik9NAh2i+cWPP3+ANF/IEilcNjCE+y/AzEMw0Wnz677s/MZpdoP3+cbL5+TSPcTeN/+YssfO7rq14SroNTKVI8uvfKRLfWcxGnmHj7dDJF6OGUi/Q9ei/+nrErz+Ia+1aNDnmtRfu542SLDbuY6MRWJivPe0FQL4vtubiDfXjDffiTIxTv3YdTKcJV1pDLz06we9R6k7djWs8dv+H96QYl/FIVxy+g84yktUget7rB6I3hVIoIz6X6+Ltwx/qvalw0ZLNLZNOLRG+eJ51eQndidDvuVhu6clddSS4ZBshigNNXpHjvPnsPH5y4dmxb1iN2HWQxpHhkL8Jz6bx0as1jlKVwzSBPt2NUK7LBR2AzzboTIzwPGXp2MdbVGF4u68tS2FskezsGrAZro4O3YxDVto2JK6HasQ1uzchVB2Wlt0TggufCTUg8mTTvysBteRO3HLIU4hTXzvgt3z/l991zXY7ppiEETim0mqJrvi1sE+smaTF5J+X8F49tOf+ULN28PvI70tv9zwdu5VNo7H/LnadpRNJapHbxddT1xPivt0Wt0CpFZ5srO4jAs9m8dR5q3e2K1evwoXSc2gCqE6MrxVVWatAd3AMPb7QfHcW3PPi0O4Vw37j9W2nSi/NExy/SeuZYlyqx4tq6DuG+cYSUeDsGrymVIyXuSBWnv4TJFcJxrI/xbI32S6dIzs+gruIZ5XN1srkalUfvs5P/VTZ8y+fEHajcnPC1NiTnZ+2faWbL6VmOasekl+bJZmvExy+QzSyRzS6hWvGGOaZOf5lg9yjGGKtdSsUG0uuUbd3+MuGBnUSvn13z93h9BQo7+ylMVFctUPQNSnyq0SE5N2M76jfQ3LVZtJ47fuUf3Ykm3LMDfWDnmp9fFjBX9Q66tX0C+U6pgD8+SHBg5ypax6p9a2Pvvbka6cU52i+cIJutkW2gQUQWfLyxQcJ6+4o26EAFc1WTmpDClr8nR1BH9hIdv2if/fXKjlhtY69YxQ1Ktlkzi1FptKHgU3Q55zLwcKulVe/pNLO6kxdmiU9P0Xr2OOnUAuZGpVXX6dEMwijFGx2weqBrKAQIKcETBLtHUe147eBTiJ4hxdXQSYZJMyvy73u2WmDoZmK9XoZTeA6mmx1zygXr6uVI3KGq1dfsJDiDFZCCjNXBp0kzK2Z+zbELQCJcF+FKzE2shawhwdYy17cLMvSuGUuXIRy5piLALUf32rLJRk+daWrHbt6f/WZwJ/j88waj0VliuVldCCERQpJ16uTpbQjOlvfruziVIoW7dq22D1sBVW/TeeX0+gGSNpg0t6LISuOsMQAI36N0/350lJBNLW7nT1gfroNJMvKlJrUvP0t07MKqc95Drqh98Wny+TqFu3fZCWRlx7+wneWs4MPGpy6z8LvfIDkz1XN7WrXJpSaqE9N+8QThgQkKhyev+YzwXML9O1HteOskeWPovGC1eJPT03ReP0t6aY72CyftpNh1LLJrnc1a5LXoNNpEr58jvTBH4e7dVB9/17qf98YGKD9yD/WvPA9r/J7ingH67hnnwu88T95Orlhq3uC4dCex981sbVPHv1HExy/2/haB7YauPHbvuuYJqtkhnVqg+cSr1pd6OyAFxaN76f/e9+IO9q1bLtZxSu2Pn6Xz2lmi185e3wTh6u9GKcm5GZILs3RePEVwcCcjf/1jPXH6q+GND9E32k984iLRyUuk52bW3K6QDtL1kG5AtHgZYwxuULqunfJGEZ+6TOfFU9S+/CyqFa0tRL8WcoVuRdS/8gLtF08Sn5um/6PvvrIgveZHWEkvI6D25WdtJnXlfgTWTWmNMdJkOUhJ4d7/P3v/HWRplp73gb9zzmevTZ+V5au6qv1Mj+mxcEOYIQACoAEdFpC4DClWJLXB3RVDpGI3xI3gUkGuRMUuyaUYlEIioSVFrEAMSIEEMcBgMMB42zPd093V5W16c/393Dln/zg3syor701TlVndM+gHUYPquuYz9zPP977P+zznodDuYa0UUbS66I020dOnXGrQcmOrsxI9e5rs1pKr0BnrqsytLhTDZwhcSlXOKGIoIx8ZBughBHW/2DTmfwdzT0QYIKLHlxgcKjbDE47IZeQo8QRHVN/FOwXWGnSekKddLKD8iKBUf2JDOZvwp8YIZsfdE/1DVSVr3UWxaPfIVxq7pnZsThrmIwYUhK8ITs8MKmhHDzEYrNDtHv23blM0u7uK6E0/pWh0SO+u7Igc3PwuMbDJKlaa5IvrW/n2I6E3py9H7JPBoJcc8SS/X5jB79L47a/TfeWK0112E9fiK/T+b9hDv9y18JOr8/Qv3SZfWHdtxCEQnpsgViMsgUymMUlBMFYiGCvhVUO8aoiK97H9m+T5sP/wwPdiKb14jvJ7z+ONV12V7AFdnrUW009Jby3R/vxrFM3OfcnC40BJovPHCU/P4s+M7fDL3US2sEb/0m16r14nu7dyPxXoIBgM7BStHtmdFZqf/ZaLfU2yLSufTQjp2sKlF88RP3t6+LVJCPyogpQeJk9QYQnpeaSdNcwjyofAHdP9t+7Q++4Nuq9dd5PGDxPC/UAbdLtP8tYd0huLrmo6auo6DFxi2fTYQzneLmFJjEjYsoXzMzadPvie04VK12bf1IabNN9mASSjwBGpMHDDnrUSqlpy14NSuGM5Vu+eKCYHUbqPhcGxcR8CpUKUcg4qUvooFWz9kdIf/LuHUiGHOr8wAtL3kN47u16nZIjvlQn8KrvuEyHwqyEqevuI6zt7Tx4Qduhj0/feE8GTQJH1yJMOXlhGBRF+XHtgCOnJPH560/WBMH/4DU/3XJt8z8qctWTzq/iz40P96IRSBMen7ltkPKFIQt3p03/rrrsx7HLj2pxWze6uuHjRUX6K1rqW53Jjz0lgay35whr65PTwN0jhtG6POyww2Jet3//O433PLsjuuNZ+em8FEflD94/wFHKwTbIU7iCpJi0o+hnhVBlV8tE9V6UpehlF5yAVmwfOj8OKFhwQjNJ7zhFfPImsxNt1hwOCqtt9Rz6//IarxB3CsoWniJ464XwkHzDN3r5s57Pbv3Sb/pu3Hntwz6YZ+dI6rd9/lWBu0sUVDnsIEhA/fxqrNc3PvuIeZrZts0CFZYTyMHmKF1fJrSZrP3p3w1rXSelduk3/jVskb9155O8CsElGesPZxKlaaSsP/EGIgSZTlSP8mTqm20enm6Eh0mmh5QjHAeOmxItmh6BaQsQher01GMYLXEWx20dvtLda50II54rhK2QcOi1jOUKWQkTH33kL2OZi8DBc5U34jzk4bDadLywCiZAK34+x1lIUoAZk88HbeVGkA1LqY0w+ktgfFoSnRk72b54nT7x0a62b6AdA4KkAz4tQKkTrBG2GSxmEEsRTZfJeRt7JKHpPvur8/UU+rdnueykE0gv2ZcT9hw395hJeVCGuTSO9kKBUozpzll5jgaS5/ETWITp/nOjpk8OfD4wluXx3i3jsCmPpX77rtGra7GwbSoGqOk1bdO4YyY3FJ0JAdcdVPfQ+POR0t09ybd5VeUb4+Vlj6L1xa2QLchuMJV/cGJnsJJTCm6g5bdr3AIpGh+ZnX0FVSy7VaQSCuUl0u7+DnBfdlHy9Rzw3BoKtG1Wy2CJZ2Ielj5RIz0eVypjUSUBUGKPTBJNn7uYs3OSsCmOsLrbetxeCuUnK77tA5QNPO2ujhzGoeq7+ymdJby66dukh3WhF4FP9+PP4c5PD36ANRbND52uXaH/1zUNzjLC5plhv0f7yGxRrLSb+xA8OdWfwxmuEp2epfOAi/bfuPOR4YTFFOhhUUvQ35imyx9PBmk5CvrxB47e+NtTa7VHhpEN9yu+7MLLfKOOA6Mwx8sWN7dr0PX5qmxfk86vki+uug7Q1LS4G5MT9d//1GwA0f/87rkVvDPlyw1U2tSH/zDfdZx+uaA/cBEavwGN0N4YgjieoVI/T768jpUcpnsQMSJQQHr5fQqmAQid4g+rovfmvkGWdwfuOCEqOrhJaS7Hevj+E9oRgs4JitTXQIVsKnRAGNSrxNFFYI0katLrzOz4X1iNe+D9+HJ0UJKtd3vwfvkp+oIfwx8f3Efm0mCLDPCAyF1IRlGpI9b1xg32SSDvreGEZazRCCYT0qMw4w/Cs28QU7mDeD6TyXWdyP1GiWx8SeJM1J3gfBuumTPerR7RJhu70KdbbqPHKtjbQpl+kqpfxj02S3l4+nJblqHUZXIxtVriW+z5u2DYv3DT4butlLXq95apee68Eup+OHNRCCCegPwSPvicBm+VOatBL3MV9hPekCIMtKYGKfVQcEB+vE83WCCZcu30z6csaQ9HZX8qTXxtDBREyLpGtr4AxqHIVGUaOaObOhFv6AapURvc6JMsLYHb/7dVYheDkNPHzZ1C10tD2Zb7SJJ9fI72z7AafDulG/6C11TAPSQCTZiTXFshXGodvI2Ms+eK6MynvJjuGcjb9XGUlIjo/5+ycHnqYstYdC1L5+KU6Qijy7v7tvx5GvtIgubmIafcP1TdTN7vkq01MmiOFGDqdLDy149rlYg4N1ljn7PDwMT8Y2LKFgYcDQh6qzG9Klx5MNnuwQ2D1CPIhnS/pcP45qFgWh3g9FRIlfTwVIqU3+KOc9OSB80kgMEZjbYK1+sgrn2gzsmhhtaF/6Ta61UM/btrTAddp874Hbn7D8yKCoIpJzUgPU+FJSnM1eottTK7fFqnt9xH5dFPbJk+3DkKpfKLaDCq4/jav2TsP/Y0Fd9MsMqRwbY6JMy8hpUd3/S5Zr7mPaVH3ROxIrCHfL/mUAul7LnN5bmLHyy4+1E1S58sb+/pKNwHcJb2zTFwOnfXHQ/AmaoTnj9H91uXDN2R+GIV2hHgfmfLgnmD1Rmc0UR20dfLV5r6TTPRAezlMioB0KUHfM+QzzcnurToCpM0ID1OxbSLVHysRH6sx86PPDtqWDLbXuhyHvCDf2MeAnRBEM8dRcQXpBxTtJibP8GvjW1o8k6WouIxXruJX6iQrC6TrK9h8d61gcHKK+NlTVD/y3M5tHnwuvb5A5xtvkd1d3aEJfhx449VBu70yPODBWkw3ofu1S+RLG0di4J/dW3Vt47UWvqgPPW9VpUTpvU/R/fZVuPfwSrrWtAoiwuo4aXuD3vrDb9obW/v65iK9V69jstGpOI8C3exSRAGmlyKURAwpiIjAw5+qb9d8GoMpCnfMG7t9GBFHIka2vA+rOq5Gt5vBXbvMY9gs7fxCRzI9L0IIibUGKT2EsGRZB7BonWFMjjEF2uQURbqvdL7Hgcnykdtpc03r979DdnflyIYT94ZAyoDALxOHY/TTDYw1CMQOSaKQgnAspn1jnfbNjfsDmE8Q31fks0h7ZL0mSWuZoDyOF8TUjz+L0QVxbYbu6m20zrFGD1J9PJQfkicdN4DTf9RorOFi+Cc9wHMQ6CIl7ayz8MbnqJ94jurMebywzNjJFyiNz9FcuELW2yBtO/G+tQYhPZQfofyQsDqBH9cJKxNk3Q16G/OsXPnKvpatKjHhuWN4tfLwi5o2Tit1a4l8cX/kE6Bodui9eYvw9PA4S392nBKw4XvAo+ea72tdWr39VSgHsLmmaPV2r5IaQ77a3H/8XKFdVFqu3X7ePkTvbnLfS1OS2jgN8EYHb1h7Gqdz26x8pqsd8maf/kKT2rPHiE+MsfHN2+i+S+OZ/Ng58n1WPjcrUBiDDCJkEBKMTZBtrKH7XfyxSRCCotsmbzfIG+vOM3fUgMkgDm/ij/8gwYmp4ctMc3qv3aDztUt0X7my69DdoyA85Tw3GWJQvRnlq9t9et+9QXHI0Y3blpVk9F69TunFs6jazpQ1GQWEp2bwpsdQ82v32+HWUmQ9dJGSdTZIW1V0/hjntTakd5bpX7p9JETbFppsYY1ATg6VuwjpNJg7DMMt6CR1msyHSKuLhxyi0zxECF8Nzqnh1wqTZqM7LI+AJN0gz7sPLO5+l8OYYlDNu7/B1lr0QbpujwiT5iO3UwxcSQ7DcH/wjRz8B3Vt96zokeYdpPC2hrYKnW77PmtBp7mrer5NoRzfV+TTWkOedultLKCCGBlV8MIypbFjCCmRyttOPqUjn931e2S9xkjyKZSHF5Tw4+rWgS8GiT7KD4jHZvHC+5PUXlSmPHECqXw3dWnN4MnaunXsd9BZb2h++xODtegio7N6Bz+u4UdVwsoEXlTGC2J0kZH3xvDj2mAbLEJ5KC9E+SFBZRw/rhGWx+kKQdbbf6tLRgHB3KSzDxlCfkyao1tdTDc50EXN9DPyhTV3k9686T/wACCjAG+sgixFLpLyCKufNsl2n0Z/+P3GuKrWCLJirXXarEE8574xMHIX3n1jdcC1rdXBE6nebphsM6uZ4c98ntzS/Npco3ON7mWUTo1jjSVr9Ch62aBNOfAq3Od13mK3KmTWGIpum6LbRic9ZBA6zbnW2Dyn6LVHExghtnSrwclBZvdDv4M7B3r0L98hm189XOPqAVS1hD9dH3oOgrOZ0u2ek4McMvF9ELbQZPOrhGdnh74ulETEAV7NTWZvkU8hUN7mdLYFId2fR4Exzky93Rtoavf/USkUrgksUMLDWE1hd7awN31SRzpfyBG2OZspN0MeTEXgHX74wZBlDPO3dA8ozpGCYTZyjwhjioF28/FiUw8bmz7GQzHwiz344JU7bgAsBoFECoWSAdpkaDvQug66jBaLFApPBGibYazBcv86s1kp1iZ3LXgVEPgVjC226WGtNqTrPayx+JXgbSmUfV+RT4C0vcLSpc8Tlsfw/BihPMpTZyhPnYHzHxr6maVLn6ezcpN+Y3HIq4IgrlObe5rpCx920ZTKQ6oA6QVIpQZT4vdRmT5HZfocdkB0dZFjdIbVBbrIWLv+TZrzb5F0Vg+1tXNQWJ3TXrqKTrv0NuY58b6fxB9Mj9aOXdz39+w3G3cTqlZyGrfycGP5YqNNem2QanSA/aObXfqXbg/1vgQQoe/iJ09OO03p4hF5floXwzfKFmgojIVstH2NzTWmnx3c4sZYd2OwD53qApfV/D02jGfzHJtu6pGHaD49hRxSTVdRQFCPCacqqAH5DKer+6/8ivsXf5NnFJ0m6fJ9IX+6srDvbRC+coMn4EjoEP1fvtYivbVE4ze/eqhVpQfhTVRd1XXEPsgGOlP3UHQkqwA4a6PepdtET4+OtQTwj08SNjpkd52/qVQepalTCKkQQFibJO2skwy9ju+xDmlOdnuJYqOzlQS0HwgkoaqgpIcUitCrkRZtWumQoUC7ST5HEBgpBg/kcsfndKvnokor2zs6ziKpcp+AHwFUpeScEB4+TLQZGPHnR/Qg/84gnZswvXSbXnYbBHj1Mvkop5KhH3FEUwoPi0WbjEBF+DKiEkzTzlbp503AukKZ8ChMRqjK1MJZ2tkKme6Rm2Tr+wKvjBQeRhco6REFdcKgxsr6m2TmvgTMZJq17yzgV0PqF6eQnuQJhE9vw/cd+dR5StJaZvHNPyCqz1KbfYqgVMcLSyjfkR1r3XCSLjKKrEfaWdu15S6UhxeWiKpTA7sH4YzZH/Be2xETZy1Ceu7CKD2sDd0TrDV4URmpnqyt0W5IuxvoIuXON3+DsDpFaWyOqDaNF8R4YQmhPPdEZYwb6ioysl6TPOmQ9TZoLVwhba/tvSBwU8OVEtH54yMthYqNNv1r87t6Yw6DLTSmm5IvbaDqZbyp+rbrpZuKFYTn5zCDAZajgXUm6weoFllrMVoz6niweeEiDA/ciblvYbIdYvfpzXcqjN19mnSE3KVzbZm83SecqRIrd9623pgnXe3sfQpaS7JwG6Gc96budR7ZR1LGIbVPvETpPecG/7C9+my1wSQZna++Qf/1m05jdtgPqMKRHFktoWrlkVWPYr1Fsdo6+kuUNhTrLcwgK1343tCKvD9Ro5ge2yJB1lrS5jLWGkyRk/db6OwRE9oK7fyEk4O17S2GTPcoqXFifwwh1OiHcWtdEtiIoRUhhKtiPnRO2sFglipHztHjwc94ChG4aNRdie1jQJYj55H8cHW+n5KvNI+0Kv5OQrHaIF8bG/6ikHgz46gD3FOU9AlUibHoONZakqIJCEdIpUc5GCfyqs4+SQR4MqSXb7jKp4oQD9kmWAx50aMoErTJtjn/PKz5LHo5dz9zlekPnmD8+VnmfuQ8ndsNWldXKZJH8PB9BLyjyaeQAundn7IzudlVn6ACNxFXpD3ayzdIuw2U8imqU/hxFS90eiJnsp6is4Q8aZN2NyjSnZom4Umkp1C+BKEpsh4qcPFlOnv05wSnoXRt+E0USYe81yQN4sFFtM/DV32rC4o8Ie2sI5VPkXS2TffzwCeKpEvSdhWCrN8eHIjD953OE3SeUKQ9wuq0G9wqMvyo7Pw/lT8gnxqdJ5giIWmtk/U26LdW6K7c2rfFiQx9VCXGm6juaFFstjRNp0++uD48EWg3WOumxjc6FI3u0JQYIQTBsYkjJJ6DVSmKg63/oIU16kZvC+2qCyOJyGb7+KFjZvO7h3xMCIEcPBwhBu0fIQ7kdPDE8Yi2Lulqh6KXEU5WkIHLwO7dXSdb3187u+jsw45pD4jAVd7j589s6Tw3W95b7fwsdxPX1+bpX713NJZgUqDi0Hk87mK1pTv9I2n374C12H7mKvtp7iryQ/iwrMSDoIgt9umu29bdeIvBdeuRoA262T2QVOb+6hskCk9GMGiLjnijmwrfRY4hlNr5MGDtVmrZ9rffj85U1Rib79IWfhQMvltGITIaEtyQ5lv2Qn8Y4CQZLunKyocKTlLgjVdGdvOGQQmPQMWU/XGMNRibO4/TwbXYlxGBEvgqxhMBSgZuqn9QCR32gGZMgbGFeyAz7v9bHrKgxMmGkvUeOtOoyGPihVn8coDNNFkndQ9Iu1xm815G3nq8uYl3NPmMJmIqJ+uO/AEb19bJmunwJ0cBE89Pk3dzGlfWyPst8n6b3vrd+2948Ley9/9i7ZCJVAGVYxVKxyoUSUF74xWW/92XmHxxBlMY1t54jFxUo7eTT2uYf/V37ldttjSi29FvLtFvLbN281tb22AftnIZHGTzr/0O869/duvfdrxvCHSe0Fu/S2/j3uDAFjtvAg/sN6x1T1T7JQMCwqfmCE/PjBZma+c913/z9iO3cvpX77nM9AtD8rGVIn7+DMXao9ux7Ac2yw9cud0V2gzagXZwnEg2fwOsRfiuXWfSA/gcCvBLdcoTJwbDZCFeUGLj3uuDh5/vH5hMY7I+S7/31qCDLqg9P4dfi0gWH59Y7gfxc6eJnzlF5YPPDE+EMYZsYY3l//m3yW4vY9pH8xuIwHOJX5WdQ3kPothoj0zIOgroTp98pUkYhyCHeH5OVJ0P6ib3NO46WZ46RfX4RazRJI0l0tbBY0dtXpAtjk7QGgWBJPJrKOljrKYU1LfaoMMXdOBVc4NQt5ZdIMcQyNAnvniS3lu3XRrTIUGGPsHpGbyx8lAto+72SW8tHkim8L2MYqNDsdZEt3vIUrQjiSo+N0d2a/8e2YEqUQtm3aCiSekXTerhHJ4MyXR3EKxmyYoeiW2jbYEnHQn1RLClFb0PgedFeCpACkWmOyRpi25/mYcPPL8a8dxf/BDhRIxXDjj5ExeRSmKNRScFRptdJ+Bv/9ZbvPnff3Xf2zoM72jyWTlRJagEru3QywalYLcTVeShQoUKFEW/oOjnlGYr5N2M3lIHBFhtt4xThRSE4zEmN5hMUySjdUwyUEw8M4UaVEikrxACdJERjvtYa/HLriJrjSVvD562BUQTJaw26NQtQ0iBCge72Vp0qpGBa9kX/QcEwHZUgsSDsA+0Ufd4px3tSbavZRxF4UsIguNTLkJuRFpHvrxB0ew+ltVJvriONz7cqB0Bqhyh6hW8qZozYT8Cmwm7iyfcI33fYPrYzVUoZBTj18YQysMag1AKqzXJwu2D7bfBg4kbjstI82RfDyoHgqeQgefSh6IAWY7d9KwnkcHAa1RJ5/EoxZZ3oZBOFiAGbXKUpPT8GbypsX0J5GXoIQOFCn1k5LtrRhw8QD6Pka50aF8+2lAF4Su88Srxc6cpvXBuEJe4c/37l27Tv3KPfH7twCToQOsjpJuc3sNmy3QT9GF7e+62vEHGuLV26Fy1jAPktsqSxeqCvN+mv76AF1UeWQ7hhoHSA1vOOK1eTlJ0KEyKtilJ/qiuKQyt+FpjyJfWKRodTKF3DAqKwCc8O0s6v0rOPuVP+1mVyCc8M4ssR8OrbN3UWWXlR0s+hZBI4bozxuRO2oDAWO3kb0IghYcQCimVM5u3RyMFMElONr9KcHJ6+6CXEMhy5B6Qjk9SLDf2rAinuksjnUflwdYxBItIoSjM9gq+K0YZt41CoYRPojuDgaQH1s9qQKAGcaRSOmu5hyEECF9itPM67t5tbl2TTOGKcbt1mQ+WCjcc72jyWZ5z+aRFP8cU91vuQgr8SkBQCfBij2S9j04L4skYL/IIxiKkkpisIO9kCCWQviKeKqFTTd7L0VmB1cN3rvIlYxcnXWm5nbkfY3DyReMxQjJYhsAWjuAKIZC+JJ6MMYUh7zobA6EEQS3cIsPWJniRj/Sl01Y8Jsm7Pyn3Dm2TPgghCI5PjrTJscYOBP+ZIyKPmBe8W7tQCIGIQxd1NzWG7vSPxuNM737yHhgPXAyEUsggJJw65kzOjbtYmDRx5PMAMEZjdI4XlNFFQp50Hp98bhLIAWGUcYAqRfhzk4P9XnfRnqHvjMWjAOF7qDgE5eIEpe8IqfCU0wAO/o6S+04sU6Ejm349Ihgv49ci/Ho80GxD9cLMNlPzo4IIfYITU8RPnyJ+5tQQTZ9zJOi9eZvk8t09o1MfG1K4fT5k0OlBmH52qJW0vWCzDN0dHRsqo8AdIw8QIWO00+tbKE2eeHQHEeO0tgef2rYYm2N0Tq4F2uY7iMNjw7hYXd1ww1Ai3j6dLAOP4NQMqnqDQ4t8BWQYDGzrtreSN0M0TDchm187Ys9kgZQenooAQQGOVAmPQqdIIZFSIWUweF9AUfR3yNEOCybNyO6u4E3WoHbf4WbzvuKNu9AI3djFs3mATPfIdG/Hvz067MDrdLDPZICSw69v1lpMWpAbSw4k6wfrsiT7lCvthnc0+QSonR3DWii3EvqrPUyuGbswQflYFb8S0L7bImtlW21qv+xTPzvG+MVJ8n7OtX9zifGLU5SmS2SdjHi6RDQec/O3rpI1E0cAH4LJDa0bG1RP16merHPv87fIu/crESpyy6ifHwcEV37tdWpnxqgcr5F1UsKxiPKxCrd++xrKV8y8fBwVKkxuaFxeJRyLkYHizmevY/LHIz714BgIQTNdeGcTUOHyq+OLJwlODc8bF54ievok4ZlZJv7UDz/6oqRwurFd4E3WKL30FNnSBjo55Cd3y4AQHiKpNXZLQ2ryDNtuovuDC8Ag8edACVObq2oKrNHUjl2gSDv0Govk6aMTUBEGBCeniM4ewz8+Sen5M6hK7IbLNonjZk711h/YkVi0+Xex9T9Dq0K7oeg5u6siyQmnqgQTZTa+c9fdFIRAxj7Z2v5CAB4VshITnZ9j5n//k6jx4dP1xWqT/uW7tL/4XfKFx9Ei72+AUUiBKkXDW/8PwKQ59rDPjV1gc+2WN8ob1fe2JVi5D1mkVKgwxotKmFEpPXste3MY6ID+nmJQZQpUmdArU/In6GXrrBSHe1yZfkp2d4XuNy9T/uDT2wihCAPiZ0/Tf/MW2fwa+cLaYxNQGYf4s+NUP/bCQ9VmwFryhXXS28skNxbgCDWfgV+mVj2FxSCFJArH8P0SUvqkaRtjcrTJyfLBXINlX12RR4VudGh+7tsEx6cIhsgggjOzjP/UR8jvrJD1D+bW8vhwx6K1mizvOo9POXyoN2umfPe/+/IjL8kcgqTsHU8+e8tdTKbpr/co+jlCSeLpMrow5Cs9ktWea8kPoFNNb6VH5WQNW1hU4BHUQ4J6SOtWAxUo/HKAX/bRaTGcfGpDb7kLEop+TnmuAgKydgZSYHJNb6VLabaCF3qoQBFUQ8KxiPadBkIIorEIP/aRoUL6cqsyWjlVxxZmx3IFEk8GRKoymGKzZCahMCkGQ9kbd45gAvpFe+DtJaj4kyjhuZQHk26V4QMZo22BtjmeCIm9Cv2iDQhir7o1KfegPklJH4kr6ye6gzYZuT2c9p+MAtRYBVmOkCP0nkIMfO58b0892mOvTylyrRPfOzqLicO+7mx+nxD3nRasxeQ5Ou2hk/6Bl2kHlU+sASGR3jAt0d5Q9fIgLadKeHoGf2bcWfkcm3CT1Ydmvrx/WGMxuUHYnGSl7Xw+1wYRpgJ6t9b3Ha/5SJCC+OIJoosn3YBd4O9oX+pOn2x+jd6r11F9iVAVjMgxuthKbNnyCMYipY/nhfhBGWMKkt4GYBFCEcZ1ijxBF+mWGbeQcmc1cPM828vpQJsjjaF9GHbTM3LEMSyEcA+WD5qwC4GQCuUFbp8Zg/B8l852IPmJG+o76JSvhUH717V+C5McfuVzsKCi0SG5vuCcEkr3K8BCDHS8J6aJnzlJsdoYeB0/+uKC0zOEZ485bePD8gxjSe+ukK9sHCnxhMFRbws8L0ZJ37lN6HwQs2kHwzQarXOEEPhevGMK/FDXZ5Clnq+1KBodVL287ZzeJO3hU3OgJNndx5gNeQQ43087cNzZpSNqLXn7aINW9sI7mnxaa9l4a5V0o09n3ulowvGY8rEqa28s07rdJG0kYCxCuQGZrJ2ycWmF0lSMCj3Xhq8GeCWf5o2Gm1IX4FdCdKrd5x9errZ07rXoLXfwSz7P/O/eS1AJ6M63EVKQ93I2Lq0S1kKicbccvxLgVwNat5pkrQwVKLySjxd7mMKgkwLpKcYuTtK4skZ/rbetLauER6xqTMdnt4yKW9kq3WKDwqbMxOdQwt3Al/s30DYDBOPhCQIZIYVHr9ggG5DJsj9Ov2hjdEHklZmKzrLcv45AMBOfRwkPay2t3J0cUkhCVcWXAb6IWEtv0yua5I+TGPIAZLVEcGraac2eQKtzL3i1EtH5OUR0RKToCJ94hXRtd+k5uy6TJaQri+jewastVmt0npKnXVdF8gIOXGIEghPTjP3EBwnPHiM4OX1w8/rNae8DfGTPZRhH2KwxdK+v0ruxNrCzAhA031w4uli5QfW98tEXiJ85hYjD7ZZKg+3NV1zVs/UHr1Kvn0XVJsjzLlna2arimUF12mLxgzJxaYJK/SRF1iPPuhijUV5Adew0SXeNpL9BkfedN6AXkJlNt4vNTReI0Nuz7W61PrjjxONAm71buILtwy9CIDwfFURbLh2eH1GY3sHiFq2Fg3roug+S65TQczGGnXSVVB9NGlSx2qT32nXGPvkytv5AzvumJOzpk8hSSPebV9CPozkXgvJ7nyJ+9rQzmH/ouLXauCrrnaMnVsYUpGmbKBzD8yLSzFU7XeRmgDEZRZGS5x08L8bzSoghw2qHBVtoirUW2d1V/Kk6ca00KLa6faTiEBkGVF5+BlWOye6tHH4RAkY0OawzkrfuYdSijzxy9HHw9rOAXSCEYPaDx7HGkjYTlr45T97NWH1tkeqpOpMvzJCs92le36B1Y+P+PXO7ixHd+TZFL+fMJ58iqIX45YAb/+7yUOIJg4GjZ6cIaiFBNUSFyjnhPGg/8NAP3192FZVTnziLXw0J6xE3f+sKsiUpH6+SdzJkqAhqIXkno32ntY18CiHxpE+kqsz3LtHLG2hbUA0mqasZCpOR2i6FyZiJz9ErGsz33qJXNEiFYr57CW3zLZsPTzhdDAiU8Im9Okq4ykukqiz1r9LOV9GmoBZMU/En6BUNcpOQ6R4z8XkCGdPODz45Ogz+VI3Si2eR4WhrlycJEfou23puEtNLKVaPdvr9MGGNweSZu+mGEVbne8oMRkF6PsqPSLsbeEGJIKru/+ItJbVPvATA7F/6WbxaaWgSyoEwiAM1eTGovGlnf6MNNi/wJqo7J01HIJyqEEyWmfzw2S2dp1ByYD/l/qd3Z4Olz1x6vHUeguDENNWPPkfpudNDNc6bJGvt136f7PayS/lJOwRBhbg8RRRPuFbwpl2K1egiQRcZSW8dLygjpaI2fgZdpAgh8Qf/FsZjKBWgvAjPC1m8+02yrI3dTDgRwlWi99DO2kI/URsdq7XLMd/1wU08EAcqUF4wSF2LkH6AVL4jobo4sGPDCEeyPSEQGKMpTM5YfIJutk5SPMbQ0QjoXoJZ1LS/8jrRhROU3/vUtte9iSoyCpj8s5+g99p1F8l6ED2mdAOh5fddoPKR5/Bnx3auQ6NDvrRB91tXyI9amwxondFL1sjyNgJ5f5DIgh1Yy1nc0KQQbZL+Brk+eqeOztcvka823EBWFMCD1WEB5fddIDg+hRqr0PnaJbKFNWzyGBXxQbcrODODPztOdH6O/lt3yJcbZLeX2dR5jlVPuzhNkxL59YFW9p2JdzT5TNb7qMjl1upMb7XR+is9gnqEirxBNqmz3OgtdkibjlCmzQTZV+i0cANJmaY850hgkRTk3Qy9y4lptXUVy0zTuduiv9rDFpbecgedugty1kyxxrX6k40+JteUj1ehm20NHQnhpAN5L0f5kvatBv3VHkVv9LR9pvukxj09S6HwVYwxBYVxYnZjNdo6Py9jC2d0bHpYDAp38xdCbrVPBRIltj/B5ibZekJ3PnWSwmRkuke/aLkqqzy8RzZViV2k5h4Ttk8KQkrwnfbTW2t9T5FP57Sk3KQ6IMPo0Z/2ByRss/2uc7Etrm0UVLWEN1kjvngSgHBEPvnWYqzdiqcz/dQRymKTWLpz22oNuSM8NnctVDsgo1YbbFEQP3saf1ai9kE+rXFDWjot8GsxXuyTtxP3Xcbi1yN3fTlkqHqZYG6C6OJJVL28TXKwWfEsNhw5SW8vOzsja9F5n0J6RGIC6fmD9zviaa3BUwEpbfKsgzEFUio8P0apYDD1q1AqREoPKX2k8t1xMaxAvKm13Q0jDPu3vbZJFDeJrDVbrzlpyMAVJE33Zna7LW8bHqgAbMXobi7eDCQLT04usKlXdn92MZl/XBgXs5leX0AGzl5JBP5WBVv6HqIsiJ46jk0zTDchX97A9DPnETqsEirdg4iIAvzJGuHpWeJnT+FP1lCl+8RlM0ozX22SXLtH0ew+HpnaNyzG5GRmH9pjq9FHIXkYgmK9hQg80ttLBMcm8AZxueCKZqpaAgvxM6dcOlWtNAgxcDp0mxUu+tjcP343BzTFIGZVeMoltsWhG86MAsLTs3jTdaKzx9wQ2gN2bJv3e61TCp2ghD9yfwgpCMbjR+hxDbY/KSi6j7ev39Hkc/Fr94B7O/696OV0FzuDQQW2Kp23f/f61ntWX7tvn7I5ybX+xoq7Vu3REjWZZu31ZYQnEUpg0vtP/3c/d3Pr7+uX7lcFk4HDxdql1cH63F9G/wv3J5AXv7pze7aWaw2Z7mMfUCFKFApFQYKhQNuC5f51crN50D1U5t2CQCKdaS33iagdLMM8VI63QGFSCpthuN+aPBRI4YjK06f2VbF6YhCC6NwcNs1Jro7+Xd5pEMpHlcroNAHl4dfGt8jKQWF0js4ShJCDgaM2Jt/7ohI9c5L6J95H6aUL+1uQdRfsfKVJcn2efHED3eq5m2O372x2Ogl7mchP/eKPUwldosteh2e23iVb79K5ssz4B05TOT/F0u++RTGw1Jn76Rcouoese5KC0ovnKL/3POUPjIioNZbed2/Ah6FY2tiqLqZJE2M0cXkKNQh2UCoYZF1r4sokCEnSe9BORxLFdWeVZQqQHgLl2vFJjtYZRd67X/UEGEgR9iKDwpMIT7JD9i3lwAj+vtm7CAcT2FkGnofwPEQUOuKtFNnte3tOkgvpQj12J6B2WzVWDxLXTFFgipysu0Fv7e4unz8KuKqTLyMXd6iP0CHAWtpfvYRu9ym9cBZ/dhzxAElESaKLJwhOTlP52PM0P/Mt0tvL9C/fwQyxzRKBjz83SXh6hvqPfgB/Zmy4G4kFm+X0XrtO49PfeKIuCO9EmG5Cdm+Vjd/4EvU/8n4qH67teI+sxpTee94R0HaXzjcuk91ZIV/eIF/acNe8ZNMKUjrHj4H7hzdVd6b1tTLR+eP4M2P4x8YRvr913eu+en2bdMZYQ6e37DLhdUoSNjAjSLuKPGY+fHogVzw4Orc2WH/t4DG2D+IdxAQeAaN416i3H1RMrg3WHPDHOeRYqm6xgUEzEZ5Em4Jc9ukVra3BokR3CVWZ46Vn6RYNCusuCqEsUS9N0y2aBCp6gFA+YUhJeHIKf6ru2hMjbiwmyY4mpk1JZ9MzZNgDIDwzi+58bxmqW1Ogkz7pyiLSD8ibGxT9R9OZCeWhgphS/RhF1sMaQyrXHyIrD7zfcyb9pRfPEz19ChmOvoTYQpPcXCS7vUx6c9GZePecd6RNcmxRuFxorV1VZr+Txo9wiqnIw6tFBJMlZORhtSacrAyqc4/2nQ9DVmK88Sq1H37vSN2rTTLaX3mT3qvuQfnhgZ6i6NNavwED/0Ih5KD6aVHKRxcpRd6n07iDEK6qKaW/9b5NbLbrwe4cOLKDtv8emkBXefGA7ezTm5rEn5tx1zrpLLBUxdnO6E7XSSe0xiQJruxp91fRVHLPh1NrgQcmba0pSDvrg4Q1+8g+n48OF4cYyBKxXyPT/aOrfG7CGLL5VdY+9XnGfvJDhKdnkZV4q/oKzuNWyAq1H3qvO+c6fUzP/Y4z/9FP36+qlaMtKzRvegwZ7bxO2qJAt/psfPrr9N+8hW51n0j84jsdNitIrtxDliKKTt85A4TBll/m1n70PVStTPn9F4mfPe2qn2k+4BcD72Yh7nsaq4H/ceAe4lQ5QkT+VvLXZnz3Q2uDtZqi6G9dB5wDwPDfySsHnP255/bVQdq2lIGTy/znrv0hJ59HjX1USQ9zYcYW5CbBPHATyUwfCrDB1qjzYILN/XeqewghiVSFzPTRgxuNQeOpkMDGCMR9Q1prB8t4oHpgCzdVb++3qzLTPxSjXiEF3vQYqlYe2nLfnHAt1poUrcOP8pOh7+x/5iaHVsq8iaqbRH6HyAH2A9eOzjHGaSJRrgWPVHBAiyQxaI+qIHayDT8cSprcm53dTXT+OOGpafzJnU/7mzD9FN3pk1xfIHnrDv1Lt8lXGkcTF7kPbIZLeNUIGXhbpO/QprmlwKuXCU7NEJ47hjdW3bkOWY5u9+hfunV/CvbhOFSjSZO9JSBZ+hiawkEM7V62QkKpoUNJshTjT09hi2KrCirLLrpYBAE2STFZhsmyAxExoTbjJUettgtaeFiHuhkP7N6078UdGgRyYPz95G6nutWj98ZN4mdPI6OAIPDBu/97ud9OEZ6eAQayl0ESUfmDTzty4ys3ADpC7rDZai8aXfKlDXqvXSdf3jhiX8/vIRhDsdEhubHoumgXTuKNDSI25f0HAaEkQgUEx4YnVB0e7LZ7tt5FqiCkIKjHqHD3+56QrvvrRfcHFPvLnQOT1mF4l3y+Q5CblNys0M5Xt9kjFCajMBnXWl8DHFkwD+S0r6d3EalACjmwWRjEa3YvsdC7/ECm+30tX7ezsW0ZrXx5MPV+/9/udF7dfYUfaLntCk9ReuEcwfHJoS/bvCC7t8r6r3+eztcOf/DDnx0nPDPLsb/6p1yG+UNQYxXX0ji5u2bxHQVjsXlOdPw4qlLFq9ZJlxfIWxvkGwcbEDNFTpH2yfstp/31h/vCgWvRqbEK9Z98Ga8+IkFqgO63rtB97TqtP3jVVbTf5kpJ87v36N5cZfKj51ADg/X1r98kXe08PmERAlWJqXzoWcY2980QG6P0xgLJtXlan38Nm719kYRWG3SrtyeJEIE/1A1CeAoRBm4aPs+xvT7FyhpgEb6P6SeYNEWvN/Amx1FjdYSUe0s+PQ+xS3fEZgUmzd0wmvsEXljiQbZqTYHOnnxL2MUjtsl074noDm2h0Y0ua//qDwhOTDH1H/wEwew43tjo83JzGNCfGdvfQgqDbvdo/OZX6b56jfTW8v67E3+IkN1eIp9fJV9tUnn/Rep/5P3OG/URW9pPAulGn2/9V7+7e6FBCoJ6RDgeM/Ph00RTJaSv+NZ/9Vn6y48/UPcu+XyHYZQv1yZx3Mn1nJ2MfjArfvD+rTacEAhPIsPQtdzSbKvCYLNiqwWDp1wb0lOYVtd55vnelv+d8JSrPAD+7CQ2zdHtLjYdbaYrPEV4ehpvYmclCJyOKL297ATsRzBZWzQ6yFLkWk4ltiXabLWo4pDwzLFDX/aRQeAqTr67meQbq2ANMgg5aA9ZSIVUHklnDV2k5P3WyHQQb6JGeGoaFY2OZjSJSwDpXbpN8tYdR3AOsXsglByaM70XTKYp2imtNxedrlAKkqUWuv/4REFGAdUfeJH4mVNOi7qZ7jSAzQt0u0fvuzfpvX5zfx6MDzp37Fig2BoUeyTibAym099T5iLLEaoc8zBNLlbXScwVbJE7KdPAlQBcpcQWxVbb3RqDbnec7+YekFGAqpV2leaYXrp1PAkpCSsTbrBKeUjlkScduisHS/l6PFi0zejlzinEmJzcPDn/RNNPyBfXafzW14kvHCc4OU108SQy8Lado9viOHeRQGxWl9NbS+TLDfpv3qb/1m2K1da7xHMULNjCkM+v0bFQNLvEz5zCn6oTnJ5xVei9PHX3sxhr0Y0uutUlW1wnvbn4yGlopjD05lu7ymGEgGSli4o80vUeUx84Se2pSSbec4zmFY+N15cedVOAP8zkUw4Ime9acFYb7CG49o9algw8hBSuzTyY3j1c7HIXGngOyrIb0jCbJtNCYOg7nUroOzLje0jfI88LhDYD4pZgtUaWImxeIKzFPzaFbncxaeaqOMMIxkBE7R+bQD0QRfYgTFaQ3V3BHJHu0nQTl4nc6buL8RCP0c0Yue8ZDFrlQnlORtFqIIPgfsvyAIRESIWQirzfIk+7ZN3GSG84b7xCcGLaTWKOsOkxaU7/6j2Sa/Okt48gM30zZvOgNqLaoLWhc/VwvQmFr1BVV/UMjk+6JKfNZQ7OCZMX5Esb9N+6Q+/1W/uqAgvlCPI2orqZBDWIL3Xtc33g39wai+709iSfqhQiSzvDHnSjiW7szx1C95N9q81F5LvY1b3I5+b7hcSLKnhhGRVEKD9EtteeMPkEYwuSokVSHL310MOwuabYaNP+/KsU603i9RbeVB1ViVyE6mYYhbzfWt/SAW49wLiHGDt4iLB5QXL1HsnVeVpfeO1QOxfuN0wQD93/TD/Fpvnhq9wGjhqml2AftqOzA4eNw1iotRQD4/n02jymlxCdO44ar7j7qyfvP5Q+kOq283sG/7P5mwykD24y3pAvb7hQijdukt1Zpth4xCQtY0k39n/PbV1fx6tExDMVJl86jsn0u+TzkSAFlWfmGPvAGY79zPtpvX6PzlsLzP/q1w5/UbFPOFPj1C98jPjMFP07ayx9+jWa37x56MsaiYF21ZseR9XKyGoFm7kBH5ukjggbO7gZudpr+YPPI8sxqlah//pVTLdP6f3PolsddLuHjKM9W4f+dJ3g5DRqF/9Hk6T0vntjy3qGTY3YQ5Xc7ditLDRk87Oc3ps3iS6e2pFTDKCqMeX3PTXkk+9MuMnIYJDRHRGfPEfv1lWyxsFj9YzO0UVKWJ0irE5hxo7TWrqMHhIuEByfIn7u9K76WN3s0vz014/MA1CGATIaLQ140ii//yLxC2eJn3a2Nw/D9DPSm0ss/0//3mlei/3p5UoXj+HVYrpXFtxQVq5RpdARTyGIz05jsoLetaVBNd9StPZ3M7F5QXpvDT1k+vlBeBM1/KnRut7DhqqUXEt4xINNsdF2+3BwiBud01m+SVSbpjRxnFw7CcmTxn03EYHhbdJDWkty6Q7ptXnaX/wu/rFJgtMzRBdP4I1V8Kfrzv4HwFg38JLlbhCp06dodui/ddeRm9vL6FbXWQKlhygPMZb5v/9rw3W92mALc+j2Tb3Xb9B/6zaN3/razmVaV5w41I6bNpgkpfUHr9L+8hus/5svEJyaxp+qE104gTdRw6uVkZXI2SeFPij3IEmuMUnutOEbbYpmF93ukd5ZoVhtkC9tUDS67r6da6e5foJypu69BuuvL3Lu516gv/hu291N2xpnHWL1/n8I6UtUHOBPlPFrMap0NObnQrgJNlWN8cdKZKsd1/Z7ghBKugO9UhpUMlyrjIGfoos/DMgXV93kail2VRetMd2+8xkbxF4Kz3OVr8Dbbqw7BJt+h0KpnROUA99H000pNtqYwUVOKt8ZR6uAtN90Ni5SbmWNi4G3oZAeWb/xwDTf6N/eFppsYd0NHQ3bP57a0krJUrituvKOhHW+nAymoV1FXcM+Wps7v8pgdUHaWcPlw5uRgygy3myLDvse66xD2j2Kjc7h3rTAaZCUch2EvcTuwj3D+IET/eepQXoCKaHILFIJBkXjrcMmzy0HsYYUnsKbqhOenyN66vg2v0Vgq3KRXL1HcuUexWrzQDdWFQd49RLh7NjW7+HXyhStHulS0y0/8IlPT7nfLSvQvcGD5F6XQWOd12o/RfdTVyEbUoVR1dj93kcNIbamrl1HZvjbTLuHbnbYJi+ygxQrwOTOduntgKdCPBkihXIDnNpFI4+MNzwCbIYC2Kxwnthpjun0nXyiVnJV+ed+nsZnvumu/YV2lcjBsZDdW0O3uuSrzUOXy2zCtI/u4WDquM/zL5fxA0G7ofnaZ1qOpOUaDkFes29YXBU3K7bOed3oojsJqhoj48i5Cvjqfsyt8zp0PsiFu++anvtd8rUWutVFN7uYJ54X/wCMxWqLDBTSe3xHh32Rzy9+8Yv8w3/4D/nOd77DwsIC/+gf/SN+8Rd/cev1sbGxoZ/7j//j/5i/9/f+HgB/+S//Zf7lv/yX215/+eWX+cxnPvOIqw5IgV+LMYMnBm1GG7e/bdjscBjjTOvT/Ogi/UZBKWQpchPnYYBea7g2RJpjen38uSlUvUJ67Q6yHCMrJWcH0U3I0wxVLaHqFXdhG1RJhe9tz1geAn+q7rSUo1q0vQTd7DrdinVDUcoLCEvjhKVxijzBWo1SAbpwhFB5IVF1GuVHFINoQWvNriekzTXpzSWi88e3yOo2DZTvbU0ne/UK2TucfFpjIM+d1Y5U7gn4US9I1rgK0uqtPd8q4wBVjUfqhHTLEU/d6R/+BVJKR5KiQbVgFwgBnicoVRVSCTobljCW+KGg29R4gSAqKYy2m4cd3aYmzw6glY0D4qdPUnr+LKXnzux43VrAaDpfv0T/0m10+2BODjLy8eslpKeQoY+MfYKJKt3L8yR3XIVbVSOikxPoNKdo9UgWNrB2bwslrMUmGbrdR7d6bn8OI5/jVbzJ2qFZUY2CUBJvoooqx9s02Q+jaHQG14qtTyI9zw0SCuGm3osnf+5aLL6KKQcTRF6NTPfopCvovHC/x5NeH21cC3itRXL5zvYX/8r/g+X//t8+8XV6Ejj7TMRf+C+OU6lJbr6Z8PXfbb1tPA1w51mhyZecr+fjeElvGRK8jdvjfHjlVvflcbEv8tntdnn++ef5hV/4Bf7SX/pLO15/6623tv33K6+8wp//83+eP/En/sS2f//EJz7BP/kn/2Trv4PgMaqNQuDXS1z4z3+azpVFNr56nc6lBZeY8g6CTnKSuxvc/Me/iww8dJLvuz12WLBpRrHaoPvlV91TVqEH/mIDK43VBsL3MN0+rDXJFwftW+tuzkJJpxuV0mlkBsNHm2k1o4To/vFJ4mdPOb3LEKS3lkhuzHP/jLIUaRc/KCMQjM1cdJUNq5GDBB9jNEr5ICT1mQv02yv027trC21ekFybp/ze867Su8sNLnrmJNni+tv3dLkPbGa7C8DmObrXxuZHPz0to2Bg7j5Ck9ftozuHb5e1uezw/Jxb/h6o1D3OfrSCtSCVYHzGo1JXRLFkY6UgjCXlmmLpTgYCauOKy6/0WJnPWJ3fez96kzXCM7NM/Kkf2pZs8iDyhVW637pC77Ub5EsbB95e3U3JN7oUrR4yDlGRT7bUJN/o4o2VCGbqeJUIK0DiCLmreu7/uN28IXoT1aEa3uDEpBtOjENXyT4imywReJSeP4s3NcTc/AFk82skt5Ye2EaLLVyKnBdE2KI0VC5y1FDCQwkfJTzaydIWGRX5k9eAvovvL0gFMycCPvITdT72k3X+33/tNiv3sr3yGg4NQgpkoCifqDHzkVPMfOgUyXqPtPH4HGZf5POTn/wkn/zkJwH4K3/lr+x4fXZ2dtt//+Zv/iYXLlzgB3/wB7f9exiGO977qJCRj1eLKZ2dIm/2Xdv8ECbKDh3WYrKCZL7xtq6D04kMJ+YPazdtur1FcWAaJoW7YVZLbtBoBFkp1ttuivIBCKnc5KoXIKVyyzZ6Kz7SGu1aWRaUHyOVy6/fdS2t3TJa1u0e3nh15Dr5s+NHXuk5NEj5wBTlE1hhKYf6Pm7CFk7KcRTrspnEsltQwdZ7BShPDKqdknJVEUYSL5DEFYkfSJQn8EOBUoK4rIhKkjDeo5U0cBkITk0TPXWcYHZ8h/TEWotp98gW3YCRbnQeyVapaPacOqaXIMOUIvAwaYHpZ27IpNHFaoMqBRTtPnmj5/RfByCfRaNDvrg+UjcmwwBZjvHHq04ac0QdAeF5+McnXVV9CKw2Tp/Y6jmD8wdfG8hGTJG5a8YjJn09DoSQeNLHlxG5TNCDGOT9xNS+i3exG6QUjM/6HD8Xcv75mCAUh1F0RAaKiRdmRw6ObkIogfQlpbka1fMThBMl1l9fJFl9tFCTB3Homs9Op8OnPvUp/sbf+Bs7Xvvyl7/MhQsXqNfr/MAP/AD/5X/5XzI9Pf1IywknK5ROTTgT8Xci6fxDDOF7BKdmXKrRkAGfTaR3XPLN/WleSRDXCUtjhKUxsrTjZPxe6KIDAemFaJ09kMAjEFKNTOTZgjYUq03Sm0tuojYYftJFT514+/sbe8BaZzIvPQ8ZRihduMn3txv6KFwcHFQlovSec6ix4a4JDyJLDWsLOU+9t0R13GNjOWd1IafILXFZUhSWPHG/rx8KjHbFe8/b4zoiJSoOqf/oB4ifOz3UOQFj6V++S/fbV2l/+Y1H2VQA+jd3n8rPVlp442Wq7z1D5/U75KsHHwDI7q2CEIz91Ed2vCaEwAKqHFF64Sy97944GjmKEIgooPTiWfwRVWSb5eTLDZdl/dB0rzWWIumRNFcoTZ7Ei/Y+Pg4XAoEiUBXKwRRxMEYzWWCjffiexe/iDx+UJzj/XMTkscN9qIqmynz0v/ljqF0S6h6G1Ya8nXLvd67Qunnwbs7DEI1G40B32RMnTvBf/9f/9TbN54P4Z//sn/HX//pf54033mBq6r5x96/92q8RxzFnzpzh9u3b/O2//bcxxvC5z32OMBw+vXrlypWDrNq7eBfv4l28i3fxLt7Fu3ibcfHixV1fP/RyyS//8i/z0z/909uIJ8DP//zPb/39hRde4H3vex/vec97+PSnP83P/dzPDf2uD33oQ+4vUiB9DxUPJsQ8yfjL56k+f5zJH36W1ndus/bFK7QvzW9NTT+IfL2L7j3QSpaC2osnGP/wUxz/Mx+m9Z07tF6/x91/8UVUHGxN1IqBF5cd2ECYvEB3090HhqTAK4V4Y0NaSMZ5/hWdBNPfoxUnQAbeVhxg3uxvDfx4lcgZw/sD89pB3qrJnAXDlz/7+fv7btTXK4nwJKocIjdj2TYryLsUgIpmn6Kb7mrx4E1UmfyznyB+9gzhqZ2VbZO6mMGFv/9r9C/dfmJ2EcHpGaLzx5n5iz/pLJce6l/889M/zZ/7xv/C/N//V+SLG+jGaA+18OwxogvHmf0//OyOVrTVhtbnX6X/xi2av/ut/a2ccgM1J/+vv0j87OkdL+dLG6R3lln87/4Nppsiw5jy6QtI3ydvt0iW76G7O6tf1R9+LzN/4Y+iKvE2iySrDaaXsPovf5fGp7+xr1Wc/LM/Qu1H3oc/M7atXfPPT/80v3jr3zkN4ZW7LPzDXz88faAQRBeOEz93mun/4JMjowDBVcHaX3yN/pu3aXz66zsducSIv+8DshITP3uaiT/5g4SnZrZZdtmBPtr9Rius/E//nmK9tWcV+Otf//qe5+lRQ5Yjjv3lnyM8PUtwYmfKly00upOw9q9+n87X3qRYbx1eU0BJKi8/Q/zMKcZ/5qM7Bhg3PQ7T20us/29fov/6zS1T7c19J/2QsDpJaXwOISVZt0lr/vK27/GPjROcmuH4/+nnt/mwPoj0zjIL/+BT5MuNA3oOCwIZ46sQX8XUwlm6+QZrvZs7N7dWYvJP/TDxC2eIzh/f8bpJMor1Fov/5N/S/+6Nba/FZUlUksRlyfpKgSksQgpKFYkXCDxfDHK3IUsMad+Q9M2OtN1tx5yAMHJSlLgsaawWFJmlyC2lqsIPBWEk3byocMm9eWbIUku3qXdVePiBk70EkcAP5dbAjC5AF9atX89Q5Ps7mPxA4AWCclWhBs4V1rrvyjNLp6V5/w9V+U/+1gmqdcXNNxP+iz97dds6er4gCAW1CQ+tLUnX0GvrkfpJIWBqzkf5gt/4V1/k4z/w4T2HEpUHQSiJyk7a43nivnugAa0tRkPSM+Sp25cPIogE/mAgUnmC6pjiP/zrc8ydDRmf8vh//qc3Wbqb7TA2SXqaLLF0mvsTg/rVkPN/6sWR8xibsNpiCkO60aN9a4PefMv5g+7jZ2s0Gru+fqjk89VXX+WVV17hb/7Nv7nne+fm5jh+/DjXr1/f871+NaZ8YZaJj10gOjFOdGIMrxqjIh+koP6BM9Ted3okibn29z/Nyu++MfJ1aw3CkwTTNaZ++Fkqzxyj/PQxVOgjPEne6JEsNOheXWL506+RrbRHDjZ55YCZT77I6b/4wzteM2lB9/oyC7/+Tda/tHtVV0YB1efmmPvjH6Dy7HHu/PLn6d/bIFvtcOyPf4D41ASlM5OoKABjyVt9OlcW6d108YrCk7uS5GCyQjhbZ/aPvUQ0N0YwXcOrbOb8jl6vO//Ll1j6ze9QNEcfgDIOKb14bmQEo2736L95C93uP1Gfsny54ewvdjHXFpFP+T3n6eqru5LPtxPWGGyeIX0fGcUoXSCVt28z70eF7iQUay38qToMuWb5U3XnARuFmCTjsVXxUiIDj7Gf/ijxxRMjSedIPHxo2V1e23U9BPUfeYn42VPET5/cuR7WmWR3vv4WjU9/nXy99bZl2B8UNs1pfvYVqh9/YSj5RElUvUTlw8/g1cus/drvH0oYh/A91FiF6keep/TS+ZGOGLrbJ1tYo/PVN4ectwLp+UjlDSZxI6T3JIc5BUr6jJdOIXC2Xr4Xo/ThXje8QPCBH6nxwU9U+dhP1vkH//kd1pdzyjXFD/6xMU5djJg7E1DklqRveOPrXb77lQ7f/FyL9oYeGUzkB4JnP1jih392nI/+0Tr//f/9LrevJCzczPjEnxzn/PMxL3y4TFxxRKi9kXPjzYRrr/X5zX++Sr8z/Iu9QHDiqZCXPl7huQ+WOfdC7PTXgWR9KWflXsZrX+nw9d9tsXgr3Zf17emLEacuhvzYn5lgei6gUlekqWH5Tsadqyn/7n9epVSW6BF5JwBzZ0MuvDfml/6zY2ysFHzld1r83q+ts7Y4vBAUxpL//B+eZfqEa3mfuhhx/fXdj6/p4wEX3hPzoR+rMX084NiZgDByRv+9tqa1XtBcK/jm77e5+lqPt761fUDzwntKnL4Y8ZGfqDE1F1Cb8KiMqa3T42/8d2eHbt83f6/Fm9/s8pv/37V9Efq8nXL5n++zMAL3De8P8XZ9qOTzl3/5lzlz5gyf+MQn9nzv2toaCwsL+xpA2nRyK7oJ2XoHkxWEx+oE42W8WkzRcv9edIZPXucbvV13mgx8ouNjHP+TLxOfHMerxeRrHQpfIX2FV42IT4zjVyNsruleWx5JHk1u6N9dZ+0Ll5GBhww9vHJIfGoS4autaL+9IASDZCKFinziM1NEJyeRnqR8YRbhK7KVDjL0XIW0ElJ+apZg0hG+8lOzdN5a2Pm9nsIfKzHxg09TefoY5fMz6F5G7+YKttCoKMCrxUQnxlADS5vOlUWy1Q55s0fv+gomHR0PqOplvMnaQFc5/PAy/ZT01pIjKE8QNi8wvZR8tQlK4Q3xMJS+R3j2GMn1nfvunQLnHesm3lU0iHN8AoMWutklX94gunhy+POJlKhyTOnFsyTX5ylW9peCMwwi9AmOT1J64Szh6RlUfaDlOwy1/QGgqiW8qRql95wjODG1U6BvLTbNaH/hu85Sqdl923PsDwJrDNmdZdLb06R3Vwhmx7e5QWxakgXHpxCeonz9IumdFfKFtUdepowD/Jlxqj/4HoIzM8jS6NCA/uu3SC7dGZGyY7dsxoRUTgv9hCMgrbUkecvFGWMpTE5aPL4B94MQON9a5QmCSPLsB8vkmeH4uZC4rEh6hluXEuKKJIgkF95TolxVzJwI+O3/3xqtdT2SkEgp3PeGgkrd4/zzJd77sSoXXypRrisW72QEgcDzJZUxhecJgmj00MvUnM/0iYAf+9PjzJwIGJvyaKwUaA1GW6KSpDbu8aEfq1GpK25fTvjibzbQI9zi4rJk+njAD/z0GGeeiZg9GdDvGlobBUnPIATMnQn58T8zQW3C2/XyIKRzv/ACiecLlNr7cuL5Aj+QoHd/r+cLXv4jVc48E3PxpRJTcz5CwMq9HK0dafMCQRRLpuZ8qmOeI6UPQeeWflezdDej1dCUq4rnPlgmiNxw5OVv90h7ZsepcOPNPsv3sgd8r/fGQXzRjwL7Ip+dTmerQmmM4e7du7z66quMj49z6tQpAHq9Hr/6q7/KX/2rf3WHYXGn0+Hv/t2/y8/93M8xOzvL7du3+Vt/628xPT3Nz/zMz+y9AtZi8oJsvYsZPHVb69oOXjVypOjmKuliEzMkrSBb7+46Baoin2i2Tv3Fk+g0d2Ts9qpLkgkUlQuzeJWIcLYOSqDKIetfuTr0JmNyTf/uButfvIKqhHjlkHC6ij9RwR97NMNmoSTxiXFnOj1VRScZRaNP/946InDktnRumnCmRnTM2ZWUzk3RubK4Yx1loAhna4x98Cy1957CJAXpSovu1SWyjS5eNSY6Vscfi11rXkn6t9boXF2kf2uN/r2NXe2sVK2EN1F1xvQPt6M34wb7Gdm91R1T9UcObTBpRrHWcm3TYQbaniI4MX0/Y/odabnkhqxQCuH7KCX39Fw9DOhWj3y54fpH1m67Gm9WzGUpJH7uNEWz66LfDpoeIh2xVvUy4dljVD/+IsHs+Mh26ZFCCNRYmejcMaKnjjuXhIdgjcH0U7qvXCW9u4LJ8sHD5T5J8i7uAXtiM3rvcWAs+UqTbH6V9PaSO3e9naEQ/lTdDR+95zzgJuVtlh9swn7ztx2rEpyaofoDL+LVy8ghyVDWGGyh6b91xz0IjupaGe2uK2IQN3qQpIBDgMWQFO0B+TQYayiOMNtdCDj/QoznC05dDLn+esL6Us7Gcs7ErM/4jMfF95YYn/I4+VTENz7XIu1bin1Uq6vjipmTAU+/r4TnC5Ku5salBCEgCCRnno1IesY1NIb9HAJmTgZceE+JH/qZcfLM0O8Yrr2e0Oto0r7h5PmQiRmfCy+WqNQ9Zk6GvPL5Nv2OGdrSjiuKs89GvP9Hqpx6KqLbLpi/kbJ0N6PfNUwe8zl2OuSDn6jhea6A/oSfT1HKkeQPfqLGuedjzj0X01wr2FjJuXM1odc2WGupT3nMnQ6pjCmUcsT/YaSJodPQ3L2WIoCoLDnzTIQaBLW89a0ezfUC8xBxXLyTsbaYj6xyvxOxL/L5yiuv8LM/+7Nb//13/s7f4e/8nb/DL/zCL/CP//E/BuBTn/oU3W536CCSUoo33niDX/mVX6HZbDI7O8sP/dAP8U//6T+lWt15QX8YRTuh88Y83bcWt6qGMz/+IgiIToyT3Ntg/UtXaL16Bz1E82mz3U+8+MykW8aVRZb+/at0Li2gE/c9QgqC6RoTH7vAiT/zIUqnpzBpQfmpGZL5Brr70IVGG5KFBulKCyEEqhQQHRuj/PTco5NPX1F/3xnSpSadtxa488+/RLbW2SKBMvAIJiuc/IWPMvbBcwBULh6je2WJ3q3Vbe33YLLC3B//AKXTk5h+xu1/9gW6V5fo3Vl3VePBDeLEn/kQlWfmqL//DDoryBt9Wq/ddeR+lxtedP640yyOugBog2526L95G93bPd7vSGCM05lKSXB8Z5tReIrg+ATB7AT+VN1VSd9hBNRag8lSujcu45WrhFOzrgJ0xMjurmC1ZvyPfQSGEAZwDx9jP/5BZBTgT1Zpf+XN/begpSA8NUN49hj1n/gg/lTdEb7HIWiPCinwp8eofPg5xv7oh+5XXh9CdnfVPUhpjTdZxdvHNP6DiJ8++cirqHsp2d0Vd94+5iHaf/M2+dIG/vQ4wdwkqrLTpUJEAfUffT+l95yntrBG49NfI1/ccHZNe0DGIf6xCaKLJ6l/4iX8mTFnwzaiC1SstkhuLND91mWykT6pAhU6bX3ebxNVJ1HBaHeNw8dAZAmUgwlibwxfhXSz9UOvfm5CCHjm/SWuv9Hnn/zNe1x9rUdrrXCXbgWlquLn/5NZnnox5uyzEZ/44+O88Y0uX/r3u3chPE/wY396gvUlR5g+/S/XWbqTkWdu+wSu8rqpX+z3tp/TynNE8cf+9ATv+4EKeWr5zK+u88XfbLB4O6MoXPVPKsHcmYAf/JlxPvSjVV74UJmf+Q+n+cbvtbj8ne0taKng1IWQP/dXZ5mY8VmeT/kf//Y8CzdTGisF1g6qwbHkl/7aMc4+G3H2meF2XUeJc8/HXHypzId+rIbRcP31Pv/8v11g/mZKt6W3ktSEdHpQz3fa16S/87p450rC3esp3/1aBxDUJhQf/WTdaW89y5d+q8HCzZ1SBaMtxhwspc0lKx1uK/0g2Bf5/KEf+qE9xaO/9Eu/xC/90i8NfS2OYz71qU8deOW2YJ2H4IMkyuQFDMrZVrthG53kmOTgnnpCSUw/o/GtW/TvrJM3etuGBay1JAsN+vc2iE85nWUwWSFb6+wkn+BiqDKNHXy3TvORRuz7XkdPka60abxyi3S5RdFJtkig7mfYQpPMN0hPNuEEqEpIMFGhf2d9m9+cDDyiuTFkHGDSnN7NFdKVtovt2kJOMt/AH3c3UhUHeOVwT+IJ4E3VnVfmCPZZNLsUja5rub8N7UlrLNni+lDiCYMK3qDy5s+Ok2+0D169O2oM4jWLbhubZ1it0U8g09r0U3SjQ76wjp0ZG6rpFQPrnPDsMTfgJJXLie700b3U2TEZ49rXSiI8D1kKkVGAN151wyHHJgiOTSBL4daQlC20i5pbbmDzgujpk3t61D0OhJIEp2fwj407/8kRJRVZjvCm65Q/cPGRbKYqH33+kdcxX1ynWBp0Ih6z4mfTnGKjQ++165heQumFs+73eai6LaLAmdJ7ksqHn3VevStNdLvvZC15sUWGReA5qZHv403V8CZqBHOT+LPjqIqL8B0Wu2s6fdK7K3S/fRXd6u1y/lmMLgbVTkHea1Mkj+8/eBA4XmEQKDwVIoWPr2JK/jhJ0cLYw7929DuGjeWcm5f6bCy79vMm8tTyxje6VMYU51+MOXkhGqlp3AYBUUnS62je+FqXlXsZrY2d8iopnffjw4dbGEtOPhUyOesTliS3LvW5e91VKDsPDSet3Mt5/Wsdnn4pplL3uPiSI9NKbZeJj015TMz6jE35dFuapTsZ966lNNcK+t37K6B6hmuv9Qkjybnn4sc9FQ6MqYHOMy4r7l1P+PYX2izcdgT54Wpu0jWu/S/FjuolDLZfWxy3tKR9wWYeDPb+MNnj1hq8ks/JH79I526T9q0NN0S0x/04nCgRjseU5qr0Fzs0r64+3jo81qe/X2As2XqX1c++QdFNd9xEdCclXWrSvbJEOF1zBG62Tv/WGkefK+NgjaF3c4XVz725jXhurn/RTujfWSOYrsIHwCtHBDPVHa1vEXiEc2OoyEd3Eno3V9FDcm/79zbwJxz59Osx/mR5X53E4Ng4wcnp4e+1kC9uuJzrXYZ+jhTGkt1ZIT8zOzRqcxPeZI3w7DH6l+9ij3yU54Cw1hHObhvdbZNtPN5FYL8wSUax0aF/dZ5YCFe5ehiDfRlfPEl0bo7o6ZNkd1fIbi+TLWxg0gyb5YjQd5rockxwbBxvskb09ClUKXJG8lub6n4jmxfkq00637yM6SZEF05ghR362x0GhKeInz1FMDc5tC28CX+qjj9VJ774aBXMiZ/52KOuIr3v3qDz5TecC8Zj3nBtobHdPq0/+A662SG6cBwZBdgBwX9wP6tyhCpHBHOTLj+8m5DeXkK3e+hO30mjrMWrxshKjKrEROfnEIG/6wODm2435CtNkrfu0Pr977iM8V2g8xSrNUIIktYKefKkhwQt2hROciIUAvBlTC08Rq77h08+LazOZ8zfSLlzZWfhI88s3/qDFnNnAj7+R+ucfTZi+e7+5E1CwOpCzpd+q0GWDK+IGcNQklKqKJ79QJmxGQ9j4NWvdLh9OaG1vnP7m+sF3/y9Fh//yTrHz4Y893KJV/6ghRcIdH/zmgzHTgXMngwoVSW3ryTcvpywdDfbcaybwvLalzuEkeTjP7V7StZRYO5swAsfLuP5gnvXUz736+tsLO0knrC5/0C/zT7SwVjMi3/1B7j7O1e5/e8vkbcSzB7ks3yixvjzs8z94DmWvnzrXfJ5GEiXmiQLDYp2MlKwbtKCbMOliqAEMvZBPSFxiTYk9zZIl9sU7WTkE0rRTV3SCW7aXUXBDhLoxOvuBmDNaM3YZoa7+y6F9D0EwqULDYGIAtcmnRrDG0ZKAKwluXaP9M7ucZhHCmspVpsUK02KtRbeWGVHSg1AcHwSqw3Nz77ySAk1368waU7jt76Gbr/g8rhHtKMBUBJ/ehxvrEr89KkBSbKDAZGB94oUCM9DeBIZDk8p0xttkpuLrH/q8xSNLl6thC0KhByeSX5YEIP/+0ODwcNhJ7+MbvUY++mPEJ6cRkSjY5CF76FqJaKnT4Ex92N77WYsr9ONi8Db87fSGx3ylQar//Kz5IvrjnjuJXkxmrS9Rt5vYbeqoE8W2uY0+/N0UhcMYHHa08Icvqbd4vR9qwvDr0nWQq+taawWrCzkjE17WxPT/c5oImwNzN/IWLmXkyYHbN/iNI/nn4+pVBV5arn2Wp/GyugHB2Ng4VbG1PGU518uMznnc/JCxM03+q76J2D2dMjknHvwW7ydMn8jHUqIrYWluxlrS/kOa6mjhJRQrikmpn3GZ3zWFjOW7mYs38vJ92kh9b0EnWl0khPPVgjqjy9veZd84trWup/t2jazxmJzJ26/T+CezI3JWpf1bNJ819K48yN1Z5+QYuiN3BqD7qcIFSGkRFUirLE7hoi8UoCK3U3HZgUmyUcST3DtfH9mbFurdMdGWEu+0qDYOBo91H5hC43uOtugh/0vNyHLEd5kDRn5mDT7nrHOOXIYlxSV3V6hf+Uu8bNnRr5VCOFIR+DBLklXIxeVF9gkI7k6T3JtnvTuCjbXCCnQ3QQlBCIcTYzexcFh8wLd7JBcXyB56w42KwjPzLokuSGJTu46o1DDzvl9LdBitaFodEhvL5PeWiK7u4zu9PettbamQO9RIT1aWLTN0foJPKRap7dMk9H7xmiX8tXvGSbkwHMzkqS9Xe5vQLel6XcfrYquPEF13MMLBHlmaTcKsnT3L+p1NL22RkiISopKbeAEo9091sXeuuMq6Rl6I6ydwLWjs9RQFJYnMHsJMFhv52Xq+YJ+x9DvDh+c+r7A4KFSBmpPf9D94G1Q8r/zoLvZcO3mNtgD2RgcKqxrq++pZ93H4KlJC/p319FJjgw9Smendw5CCYhPTxKdGAcgW+uQLDV3FSarSkz83Gmn5dplO9Ibi2Tzj27TcljQzQ7J5Tsj7Z5UtURwbAI1Vn17Jq3fwTBJRve166z+yu+R3T26Krbp9EluLLL2659n4999BdPuY5MM00/J7q46n9h3cegw/Yzs7gpr//oLrP3q50jvrBzpcKBJMjrffIuN3/wKq7/yWYqNzqF4iX6/Iu1psiHDKg8izyy9lvP4VJ6gVJXI3Tp1FlqNYleCtxs2DdE9X2K0Mzvfi3xumrxjHYmrjnnb6iVxRRLFjqL0u4Z+Z3Sz2loocutsiJ5QnUBKQWVMEUQSa6C5obdpUb/fIJXccsI4jIbTu5VPnNbobejWHAjW2EMZus6bPVZ/7xKzPxVQOjvF8Z9/mc5bC3SvL1N0UlTsE0yUmfyhZwgmKuQbXdqX5mm/fm/XqqssR8TPnN6W/PIgdC+hWO+44ZP+0VmR7Be61SO5Ok/lw88Nfd15aUriCycQApIDpZ58/8P0U4oVw9qv/gH81H9K9ztXCc/OjRwk2ff3Zq7a2XnlCuntJfpv3iG7t+YsjAawuSa9uYgqR87w/l0cCUynT3pridV/8RmiC8cJTk5Tfv8FVDlCRo/4QPag3drCGv1Lt8nurdJ/67az5nq3w7An9nPzH4TzHQhWWyeLeSwc4PMPOpJZ9qyc7PnNli1PzcOCVK7COUr2v+M69w4tenqxjwwUKnKUL54qIYTAK3mEEzHxbAWTDz/3hBT45YCpD5xg8qXjZO2ErP349/B3yScMDph36FEDmyOVhwLdz+leXSJZaBBMVag8fQyhBCr2yZt9VNlN8geTFZfKcHOV5N4G2erurXLXus9dW725c+JUt3sUay1ML0UYUCraEuNLIQc6KYu1Gik8pPQRQmCsRusMKd2hqnU22BkCz4swJseYg7fcTD8lW1onvbfqJnQBTkN6d+X+NmWF0/UOsfpxUasJ2b2VneksxlJstNHdg1WLrHGyBDmoHsfjESpU9Nf65MtNirXmgSeqTS8hW1hDlaLt22Gsm17vPGJFSzt/y/7lOwAkl+8ilMKbqG1JLzb/bN0JH7xQD7SfVhus1u77sgLTTdAtl4CV3loiuXx3x6JtocnuraLq5e16RGsp1tvo7uM/KFhjnan+SgNZPSL7loeOt4MiXz348XAQ2Fyj8x791i0Xidvq4U1U8cYqLkQi9BFq8DsruaXhvf8Fg9/YWBhEA9tCY5IM0+6R3Fik9/oNZ1r/QDdEeSFSbl4DJMbkZOleUh1BEFaxVpNn268/m04J2fzqSJlGvrSBzQqEBSk9grBKUSQU+f6OJSEUQsr7vqNDLtjWWIpml3ypgRjmbZrlzj91D/9jqcTuVUw2DdUHKbLWteL36tzZA1i2DvtskduB/a9AecMHOR+ElKAG22GMpdDbCyxGszUEszkhvitGJ+8OVpL7P8s+iLlwipJR4VuDdby/zmqP976d8KshQS0knnUOJeGk87EOahGVk/UtR6FhEEoQVCNqT01SPlmnv9wmaz5+J+Rd8vmHDCbJ6V5bYvE3XqFzeZEz/9GPUHvxFNXnToAU7ibTS2m9MU/v2jIrv/M6eae/p1dqen2ee3/nfxl99m+eodoQhWNM1i/QSzew1hCHdQqdoXVKt79KtXSMevUUngrppxusNa5SKc9ijWa9eR1tMqT0mZt+H63OPZrt2wfeD7rVQ7d73Pu7D6zzl/8CN//aP35oh5mhV+T83ir5/Bqdr781fAEHMd8G0AbbT10u+mB9Xv4r72fmxWm++N9+hf5qn6xzcO1p95tX6L5ydfTv8pjkxQ58dVf/18+hamW88Sql95wnOD7pJsGPTSAj32kGwwBXnjBOY51kFM0O+XITvdGmf+UO2b1VsoV154YwYv+Zfkrz916h+blv79yug+73XbZr/d9+eSdpPkwMO94OAmufWKUwvTFPemOB1he/iz89RjA3TvzsGbzJmpOnTNSQ0UAnPiAJNnOJYrqXkC9tUKy1XLXzjdsUjTZFo7Pj9xJCMTn1LOXacWpjp1FeRLt5myuv//rIdZPSQ6mQ88/8FGnS5Mbl39r2erHaolhrcev/+j+O3sDBvvSDMlH1GBee+xMszX+L+dtf2tf+CaM6UTxOv7tCUaRovbMyZDp91v/NF3Y/pgYT/yMhoFSRRKXdj8kgHLSxlSOFnabekQd+mChyS3OtYOZEgFRQm/DoNDXd1ujPlKqKct0x5H7X0FrX2whyv61JBm3sUllRqkpHpod9mXApQ6Wq2pfmc6/KsCOegqgk8QMBQwp9WltaGwVZ4uyT6hMepco7k31OvneOiRdnOfMzz7khQCkQSjD9wZNMvf8Ejn3u8gVCYI2h6Ga89c8u0br6+NK571nyaY29z9QHE5XvYh+QAhl4VJ+Zo/rCCfp3153J/I2VwT7Vrq252iFv9Cg6ya4Z8Vuw7PtGKIXC90rE1qWCeF6MUiFah7Q78/TTDRCCUjiBwVApzWJ0jrGaanmONO+4qdZ9tGoOvM4H8fS09vA9QB9YH2EMAgOFcf/+KETDWueHe9QwFtNNyLWh99p10hsLyDhEliOEN5h4HtwVrHXHGYVLnDK91CVPrbfRnf4+p5wPsR3wdi7jneYhOwqb3aFCoxsd0rxAd1NkHKBKMTIOBr6t99ORrDFuSDMv0L0E28/Q3b7rgKT50OPZWkOnPU+e98iSJtNzLyHE7mzCGA1kLC98G12MqBpaDrCvhUu3E/u/p0TxOPXxs2RpG2OKbX6V21f28Y+p8Rk3wT4UAqJYUq4pquOKtG/ptd0g0V5WOo+DLDHM30w5eSGkVFHMnQlprWvWl4YzXiFgfMZn6liA1tBuaNYW8y35m7WwsVo4r1FgbNpjcnb0cGF9QlGpuwz6UTDaUmTuvqE8QamiRlaQS1XF1DEfz5MjK7jWQK9t6DY1/bamNuFRn/Sp1BW9tj4c7akFXdit305K4Yb8DngMNa6skDb69Fe6RFNloqkycz90lv5Kj/5yh7ydjpDVucquTgvSRp90rUfjrRXnC/qY+N4ln9psRWkK5QjVUXn+fT9BSIEqB5SfmqHy9Byda0tsfO0661+68sRE/kJIlAoIRAVrDUIopJBo6WMxZHkHazVCSHyvRCmepNG+jbWaSukYMvHROkXb/EA+emJw4qpA3W+7CKd10qne9j7pS6SSg+i+QQvJgtEGnent575wn/HCB8KCR7xXetIdrw9OC4763iFQodpaRJHef7+QPLBte6yD7558rbFI5W60iMEDnbbofO/1GAabF9i8IG339n7zu/iehemnTvO7untqzqPB0uuukKYtkv4G49PP7PpuIRRCOKLY3Li1q9WSe5+6TyqF0yZbY1xqmNk+0CmkQqpg233lvqn9/RNPSo+oNEGldoLmxk2s1RijsVa7vPlDHCgQAsamfGoTHsrbbKfff10KqIwpqmOKclWxtpTTbWnn23mEyBLD4q2UpGuojnnMnQmZv5G61NOHNl9KCCPJ+JTH2JRH1je0GwXNQVLTJhqrOe2GM6gfm/SYmPVQnkAX29vzQsDYtE9t3EMOWd4mdGFJExd16fliV7JaHVNMn/RR/mh9rbVuCr/T1LQbmumTAfWBMb6bvh+9z/eb3GyBIrPOkF64fHjliQNP1HduNejcabL+xhK1M+PUnppk9iOn6S+32Xhjmd5ie2SRyWpX8ewutukvd0jX9+9EsRu+Z8ln0UqcDtFawukatRdP0nzl1lDD9HdxHyoOqFw4RjBbR5UD8vUuJskRSj4x8mmtxdhi0GIRW/8mhGRy7CJS+igVkGYtjC0AQZK4aujsxHuIghpZ3mN57XXyYv9PYNWTFcbO1nn6Zy/gl3xXBVaC5q0Wb/yvlwBHDivHypz+4VPMvm+G3kqfoBoQT8VkrYz1K+u8+auXyHs5pnAnYHmmTPV4hWf/9DMEZR/pSfJezvqVDa7826v01xJHAIG5l48x9fwkx1+egwEBLLo5y99d4a1fv0zWzbEjKpXSl7zw558nqPpYY7n0qbfoLjqiV5mrUD1R5dmffwYvVFvrsPzqCjd+9ya91f6WoPzcj5+ldqpK606b8afGqJ+qEVQD2vMd1i+vc+3TN0ibb/9Q2Lt4F7tBCMXE1NOUq3NU66cIwiqt5m2uvfm/DX3v2PhZKvVT1MZPI5B4fkxcmqTdvEendY/b1z+L4L6p/vjEeaKoTlyaREgFCO7e+DzdziJp0sD3y4RRjbnTH6NSPUZcmsIPyhidoXVBY/0Kvc4yG2tXD3W7j58NaTc0L360wvXv9mk37l+3w1jyyT8/yXMvl7EWXv1yh6uvHf3DYGtD89XPtHjxoxWmTwT8yB8fp9fRrMxnrM5vzxyfOh7w8Z+qc/bZGKngq7/T5M6VZFtSk7Vw480+9UmP9obm1MWIIHL58st3M9obg8KTcFZSn/gT41x8aff46tZGwb1rKUVuGZv2ee/HK/zepzZorORbU+pCuH34no9W+PhP1YlLe1e/r73e5wu/2eBn/sIUT79U4hf/s2P8i/92kcXb6VACKoSTJWSJ2XM63mhYW8qpTXjUJuD00xFFbrl56RE0l8aiezmNy6tkrYTeUovGpRWWv3qbxqXlkQNHdtCSdwNpjx/lu4nvWfKZr3dI7q5j0gKvGlE6P8P4xy6QN3qOTEk5MLCWdK8uka08AW9JIQimKkh/c9hCokoB4UwdVQpcZaoUEM2NUb4wi9V6UG0yFJ0UkxYPxVwePkyhXTu96fZTfHoCrCU6MT4gn+7IcsMBBp0WZCst8laf5N7GoRx41mqKItlqp2mdoVSwVZnwVIjvl7BGD6oUdlBBsORFb6DxCih0grH799arzJaZenaS1t02Jjfk/QLpSfprAz3lAEIJSlMxtVM1Vr67Snu+jbqhqB6v4Mce0y9MsfrmGkkjRUjB2Nkak89MsH7ZZVwLIByPEFIw98Fj3P3KPP1VR5KTRkr7bpv5Td5toX66hhd51M/W2bjWIO8+vE2W8rESYT0krAXkvZzmrSZFv9iqyo5fGGfsTI3VN1zqhBCCaDxCRYq5Dxzj9hfubhFKL1SEtZCJCx55L2fp1WWUr0gaCZ2lrqt8/iGBQCClTz06RqBiYDDkZnLWe7e3RdMeJuTg2J+pXCQtujST+X2vsRSK8fgE2hY0+vceYx08PBkwXjpFL9ugnR5t+MPm8qrhNNpqGv2dw2QHgyVNmgjpWv1Tx96Dp4ZP4UupqE+cByFoN+5grCaOJwmjMbK0RZq2tiqaQrhhxsQ2SJMmadLC82PCaIy4NIG1hjRpYExBnvdpN27jeSFBWKPTukee9yiKdFDBPfz7TqepCWPBR368zsS0z8ZqQdo3xGVJbVzxzPtK1Cc9Oi3Ntdf63Lt+9A+SWrv2/tVX+wSR5IUPVXj6pRJGw61LfbLUogtLua6YORnw4kcqeL5gfSnnu1/pDDXNzzPLxnLOd7/a4bmXy9QnPT7+k3XuXktZX8zRBuKSpDKmOHE+olxRdJp6y57pYWSppdPSLN7JOIYziP/Aj1SZORmwfDdDSKcbnTzmc/G9JapjHv2uwQ9376iuzGdc+U6PxdsZcVly8qmIj/1kneV7GWuLOXpQpPBDSVyWhJFAa7h3PeX667sXT3RhuX05YWzK48T5kBc/WmFsyqM67m19r+cJWhsFnZZmbSHfsyhptaHoF3TvtkjXexTdnCIp9ievO0R8z5LPZKHpWoS9FK9eIpisoMoBRbNPtt5xiTxKIiOP+f/1a0+EfAopKJ2ZwqtEqHKAinxUKSSYquBVnQWNV42oPD2L9BU6ybCZxmQFvdtr5Bs90qMmn1lB/94G6XKL+PQktRdPUnvPqR2k0qQ5OskpNno0XrlJ9/oy6eJguvYxCaixmizv4vvuSTXLO4SiilLBVhs+8EpuUnbQtrKAMQX9dINSNIEUHtrkB2pp1U7VmH1plu/88mu077ZpL3RQvmvBm4dOvLAeUpousfCtJdr32iSNhOf+9LOUp0uc+oGTdJa6JM0U6Ummnp/i+Ifm+Pzf/hLJRoLJDcc/Msf4+THO/fhZ1i6vb5HP1t0W3eUu6WdvgQHhCV74c8/hRY7Udha6O8mngPHzY8y8ZwZrLK27bW585tbWa9KTHHtphrFzdT7/X32ZvJNjjeXER48zcXGccz9+lqXvLG+rZqpQMX5ujLf+tyvc+txtJzsYyAdGVV6/HyGEIlAxc7XnqYWzABQmJSnaNPr30Efkwaak06+dHf8QG/27+yafQkiU9Dlef5FM9x+LfCoZEPk1zk9+jMXWm0dOPj3pUwrGOF5/D7nuPzb53NSH9nortJt3GJu8MPK9UvpMzb7I6vIbzN/5GkXeozZ2higep7lxk25ncXCdcU+Fvl+myPs0N27Qbs0TRXXGJi9SrsyivIiNtctO+qNTFu99A6l8wniC5YVvk/Q2yLIjut9YR3b8QPDJPzfB+edj1pcLGqs508dd0s7ZZ2N6Haeh/O5XOyzePnryaQ1kieXbX2jTXCt44eUy7/lYhedeLvP6V7v0Opqkbzj5VMT4tCNSCzcz7lxN+epnmtuqng9+58pCzud/Y4PZ0wFnn4n5mb8wxY03E5bvZuSpZXzGZ/qEj1ICYyzrSznTx0c4GqSWdkNz/fU+SgomZn1+7M9M0FwruPKdHspzcoDzL5YockueGlrrBXFFwS7OYou3Mhqrmg9/t8e552LOPhfzM39xiuZqwbXv9kl6BmuhNu4xfcKnMqa4cyXhq7/T3JN8Frnl0re6jrB/FD7+k2OsLmScvNAjHXi9xiXFtdd73LuWsr6Usx8lmsk1zaur9Jc7LqDhbbjkf8+ST93PSBYbXP9Hv0v1uePUXjxBMFXFPxFROjO1RZ7SldYheJftDzLwmPuTLxNOVVGVgVZIyq0KqFASb6zE2AfPOcI38O602rD2+bfoXFogXToKHZWD8BXhTI3pH3ue6gsn8esluteXncl+P3tIF6hc1Xa6xtSPPEv9/WeQoU/7u3fp3Xy8TNcs77DWuLKlvXKE0wm7jdGusik8tC3YXKm86OOpCLB0estok44W94zA+tUGfukeL/7Cc/RW+6y8scbiNxfpbyTbNJ8AWTent9Kjs9ghbblYt9U3VrHPTHD+j57DLwUoX1I9UaF6vMLYuTE+9tc+hM4dOffL3mBCcPuxVztZZexsndmXZga/vWX8qTGydsb61Y0dAngv9njqJ88T1kKCcsB3fvk1eiv322heqKgcr1KZqzBxcYIf+BsfcfogcNKCgab1YRRJwcK3FunMd7YkAZutlYNgs00ZeGVynWAPO8v6iBGomInSGbTJWOvd4l7zVczggccdf+8sWKspdMKVlc8fWVX2+xVi03toa79ZRzbFw8e8Jcu6JL01Oq0FrCkoipSkt0q1fgLPPyLrrX3AWrjyao+N5Zy0b3j+QxVmTwU88/4SCNC54dtfaHHpWz1e+3KHpTuOpD0pzN9MaawW/IO/cYdnP1Dm/AsxZ56N8AMncep3HKH77V9Z51ufa3HvRkq/M9oYvr1e8OqXOyAEZ56O+Mgn64xP+8yeCsgTy8Zqzq3LCb//rzeojile+oEq1bHRA2o6t/zbf7bCuediPvzjdS68GFOpKz74R6pkiSXpGa691uONr3e5/kafH/35CU5djODU6G122k/Nr/yDJU49FfL0+8s8/3KZ2oTHCx8qIz03L5Amll5Hs3wn49ufb3P36t4PBUVhufbdPkZbFm6lfOQnalTHPd77sSpCuGpyt2VYunOwB4yim3Hj11/HZBqdFUdq2TYK37PkE+siIXvXl5141xjCmRoq9BGBh0lzTJKTrrbJWw89XVgo2gn9u+s0vnGD3vUV11LeBbqXkSw0aH3nNrYwJPONHYlD1lrShQYmyZDRQz5uA3E7SoHW2zPkrSVf71A8kLJktaFo9ulcXsQWhs7VJbK1zq7rmDd7JHdd67f91sL9SuUA0WyN+MwUlWfmsHlB79Yq3StL6F6KTnLuKzBB+h6qHBId71J9bo5wukb5/MzW9z8OrDUUehfNihaDHPn76+55Mb5fQghFXrTJ8vaBH9b6a302rjWonapiCkM0FjL53AS9lf5Wy3xrHbXFFAaT6S1ClvdzdKbxIs+RRCHcAJAUGG3oD6qeAEkD19rv5a6SKRxRrJ2oMn5+jLxfYHLjJjD7BaYwCCV2+M8JKQiqAWE1wC8H6FTfJ4vgqumhi6UzhaW/nmwR3mTDaU3zXkGRbCdSVluydkaRPt5T7+YwhpIBhU6P5AE69usIFNrm+CpCCQ8hJIXJKExGkrfY3AglfTwZEnlVGCSzGyxZ0SHT/S0NsRSS2B+nFIxRDacJVExhMjwZUZh0q+IpkEihKIdTaJPRzTYtRgSeDAhUGSU92unK1jqUfJcMpm1BoGLkYMil0OlWVfX+DgRfRVTCaZTwYHDc9/PmYH/ePwcCVcKTIb6KkMKjMAlpMfya4KsYX0ZOSrA1MSHo5w2KwbDegwhUabAO/tZv2ssaFCYd7DMHTwb4qkSg4sE5ytb6apM9MAAoCFSMr2ICFWOsQUlvsO5P3pnEYuj31pBCUa2fosh7RPE4RucUeYIu0gffjDEuLnNrCMnagZ+wONAU/GHDAmnfsL5ccO96gh9KGqsFY9M+unARk7feSrjxep+7VxOy1Ixsw1rjdJA3L/Wp1BW33kpYX9qHjEkKgmrovHAHnbvNEz9PLR1dcP2NPkIKkr4jm34o8HzpBotWC25eSrh1OWFtMd91KlxrN1E+f7ugMBnlWof6pEdUlujMsr6Ss3LPEdByVVGqKKy1tNaHPwRbC2uLuRs4GvPItKQ67hH5LhYz6RtuX8u58VbKnasJV17t0W5o/sgpFwc68ncxOOmABYsjm/VJj/FpD+W78ynpGToNN5x052pCY3UfD7cWkr5hZVGj3sio1LvUJ1zbXQg3wd8dSAlaG/u/lltjSdeHa4Fl5LvjPT3ah+/vXfIJYCzpcot0ucX6lw8g6raW3o1VejdWWf6t1/b1kXSxSbrYZO1zl0avTpJz/f/zO8NflBLheci4hOn3sdnuTyomLeheWaJ7ZWlf6wfQubRA59IC/G24/T/+wY7Xxz96geoLJxh7+Rzzv/Z1Gt+8SfOVWyOTi4QnUdWIi3/tp6i/7wz1l07RfnO/2rTHgd2RI18tHSMMavheTLN9h27/4C3C9r027Xttll9boX62xuz7ZnjxF56nv57wnX+6/TjYnB5/kAyKIS7GQgjyXkH7Xoev/r++MUSv6SB9SWm6xPEPzzH13CS//X/5LGkrxRrLcz//DGE9dOTzYRjQfY2a8SgfK1M/XQNrac93BuvkkHdyGjebfPnvfW2kcHwbLOgHiPWjYlO76MuITHSPpH0zW32GQJXo5RuMxSeI/TF8GdJOV2glS9xtfHuLTMV+nVo4y4n6SyjpIYDC5iw032Ste51+0UYKR4LOjH+QcjhB7NUQSCyGajRDO1mmk61yt/EdpPAIvQrPTH+CTrbKm0vu/FbCoxJMMVu9SOTVeG3xNzG2QCA5XnsBIQT9osVk6SyhV8GTAc1knlayzN3Gd7a2TSCohtOcn/gIsT82INUpt9a/TqN/j9ykg/dJxuOT1KJjjJdOEXkVGsk8r87/xo79JZDUoznG45NMV84PluLiZG5ufI1mf57OFol2r9ajOQKvRNkfHwQ6CK6vfZlmskg/b2x9bzmYYLJ8jqnyeZTwsBgKk3Nj7St00lVS7Y5LKRRj8XGmyueZKJ2mMClZ0aNfNPFkSMrOIIqjhNE5ywvfpj5+lqee/VnS/gZap+R5j153hX7vfjfH4ojmaEnP2+eqInA2Qf2O4c1v9HjzG48+TFTklmuv9bn2Wp9//T/sL+zAOYEo6s/MoLPCTT+vdDEP6MR1AavzOavzTb7624fTyVtteay/Bd/4nd3vPzfe2HsAVRcwfyNj/sY6X/zS4EH93gZCCYSn8Goxupuie5rf+hfuPPlP/xQs3NxDEmcdAV1dyPn25w9PdiGUpNEUtC4bXv/K0pHLooKpKhhLMr97Qe5x8b1NPt8myCgimD1GtrqC6fXu2w5ISXj8JLrfpVhf32ZH4JJAPFQcY/MM+zYM5ccnJ4iPj7sD6+4G3avLu0ZmWm3dSZi4sryM/O0WQU8Qnd4ivWQNKT2ybPcK8CioUKFCRdEvaN5qkTRS4vEYL1SMnatve68f+8TjEeVjFaztkLUzxi+MU54u0bjRHEy7GzqLrm0dlH3GztXpLHTor7mqrvAEfuST93MXURa7KfWiX6DTAmssKlBMXBxHBYr2ws7tKjLNva/Ns/zaCtF4yPk/epb1yxtc/rdXybuuEttZ7GKMIaj6jJ8fo7PUJW040iJ9iRe6waLd5CdK+JTCCerRMYRQGFuQFT066TLWWibKZweVLs1G7y65TjE2Z6J8FoDIq9DPmyAstWgWT4YoGeCriKRo08+aJEWb0KswXjqBEMoNbhQdWskSabH7xdqXIRPxKdcaz19z3QuTDapt96uZc9XnEEJyff1LTsIhFNVwmsivcHzsvdxc+yraFuS6x+3Gtyj540yWz6CER25SltqXXeXTZBhrtgX2HASBKhP7dZY6l1110jotaWGy7dVMr0w3W2ex9SaFcZXdifIZqtEsvopZaL0xeBQzbPTv0cs3aCT3OD/58ZHLlkIxU7lArlNubnyTNG9hsQih6GXr5Pr+DVogCL0y/bzBauc693SXQJWoRceohFN4MuRuswEIfBVxsv4SvXyDa6tfxFiNryJKwTgTpdOUggnuNL6FQBKoEqfG3kc7XeXq6hdIiy6RX2UsPv5oO/RxISRhVCdLO6wsvkpj/Rq6SLFWkyaPT5Cs0ViTu3QmtTO96DDxdhoK2kFilTWWoBYRTpZZ7dzeRj6PAuMvHMOLPDp3DmfodRO1F09i2SSfChl4eOXIpXv13hnOOdL3kLGPV47IN3qMzPocIJiuEkxV6V1bdlXpA6L23pPYTL9LPo8cQiDj2BlgWzB55triWiP8ABn4gMDqApu76ooslQiOzWHynAKwmdNLCk8RzMxStFuYNHPVTWOwRYGMImQUIcIIodxTvwjDwVS+HESzGWyWY3WBEBIZx1tXGqs1Ns+31uHg2wmqFKBKgdvOrMAku59cQglUyVXkNk39n5R+9mE4S6XHM7YNayHxZEzezRjYd7q/a2/nFV2Ige1SBSkFWSejeryCF3s0b7fI+448Zp2cpJGQNFNqp2ooX+HFrnK0ic3pcaMNxaBtXp4pozONDBR+xWfULcVqQ3eph9EGP/Y49YMntyqgjesN8qQg62QkGwlZO6d+uuYiOSsPyBosFAOyOxwCT4WEA8K0ST6l8Mh1H2s1oSq7wSxbEHl1oEVa5PjSKfE9GSFxeXSxX0PJcDDdHA62Tbg2tFfaWoaLUpV0s72lHEJIPBnQz5s0+/Pb2ruu0SWRwqcSTmGsJtd9tMmRQqHtGLEad61iIV1LyWo66Qra5JQDV+3LtwZ4Hv8Yd4NBAd10jU62NtDC7vyNhVBok9EeVA0DVaIUjBN6lcFQ0n1D6Ux3XQVR93d4Uj70pXgqojAZue7TzTbQ1pHp+xZn998rhCTXKZ1sjW62trXsWjQLA02vFApPhlSjWTLdJ9M9N/CHJTQVatHsVgSuFApPBZSDSRr9BTZ6d0l1l5qZoRJO7ehqPIwgrOH5EUFQQQ1s18JobOCdWTwQeSkIwgpKhfhByWnFvZAwGtvy2izy3uCdDAYa7VZsptbZ1r8LIba33g8IrVPyrEsQ1rfiNYsixZgCo98ZJOZAkO7655UHswvWDq6VZiskQngh4Xh8P+BFCpch7qtBS9hgCoNOClSgULHvZDDaOpmXtm7CvBJuST3yjusGYSx+LdryYY1nKqjYx69F6H7uyK4FGSpU5O9ikv4AhFtHvxpv+RoHMzUXeLF5fyxHqFJAsRk7LAQydMe1P17GaoNOMhfcIQReJdzqhulu6oY21SD0RgqEki7NTVvn8Szv/7vJC0xaYI1Bem7GAgZFn17mpHlC4NVjVBwgYx+k+34ZetuWYdLCbYeFYLJC6ewU+UYX3U3dvT7Xbuak7K7X1lo356Hd2ehXI7e9FsKZ2hMh3n+4yaeUyCCg+sEP4dXHwFqSm9fJV1cpGg2is+cJT59BKEW+vkpy+xZCSoLpGSofeBl/ZpZibY10/i62KBBKUX7f+zG9LuHCAun8XYpWk3xlhfipi3j1MYrGBqbbRvcU8fkLqEoFVSqhqjV0t0Ny6ybF+joiCKh+4EMI3xGjYm2N5M5t0tu3Hm1bLeiscJNtShAeqxOfnqR7dWnkvTaYqjL9o88Tn5pACOheWyZvfO8aiM+9fIxzP3aW8mxpSy+z6d15+w/ubHtv2kzprfU596On8cs+pekSWSdj7dIal//1ZdJ2NnhYMdz4zE3WLq3xnl98Eb/qo3w3PNW61+bOF+5x9yv36K/22bjeoHmrSXmmxA/83z6GyQ1FWtC82dqu4xyCtJHSWehw6VOXmXpukg//nz/El/+br9K43sDkhiu/cZWlU8u85xdfwIuUM5IXgo3rDe59bYE7D1gtPQyBoBJMI4VHO11GmwKBQEmPsfgExhqW22+RGXdBfmry42z077HUbrDec/st9MrOwNtC4FVIijZp0eH/396Zx1hSnYf+V3vdpW/f3qZn62GAGWZgDBmH9WHhYMAkPBtiK3FsC0UvdhJbKJIlvzixCZbIpkAcB8WR7PyRRZGeHckJdhQSOUZ6L8TGZjC85+AxMMaYYfbe+25Vt7ZTp94fp/pOd0/3dM/A9LSZ+kkj9dxbt+rUV19Vfec739IJJxkq72RT9UoMzURmgk401YufM3STbA2JPUka0ommCZPOksYCebkRw6Fs9VOy+nHMKmV7MP9OLTgLGROL9VvqjVOfTjRFnHYXJGGdeaMlwleeYaG8b4mMmOseZXt9PyWjpl5s52gLyyxlynuVgdJ29ozczrT3Gp1omhn/9Vx2C+spZsRpQJA0e9nuIo3pxnPU3a3YhnopOUaZsl2nZNXY2r+P4eoVLJRvkoY9+dpmGdeoEqddIuH1luKj1Geue5yStXiVYSG6bnHZrjuxnRqWVaJc2UQpFVx1zfvw8+Xx8ePPAWAYFjuuuAPHqWHaZcqVERy3zlX73k+3O0vgz3Dq2IHT49R0Kn2jlCsjjG59O6Ch6wYzky/itU8xM/niuQl6AV77FFmWsf2y29ANEyEiZiZfxO9M0Jx7c+t8rs78JOf8J1FW2aK0uY8tt+/GLFmkseDU/3mVcMYnbodErRDdMXEGVcUS5aiw2XTTDsrb+jHLFuFkh2DSY+6lCfp2DjJywxiaqRPNdZn5/gmSToTpmmy7aw9GWcUZnvzfrxK3AtJAsOO+fZhlm6Qd4AxX0DTYevsuGocm8Y83SYOE2hXDDF63hePfOKQM0LNJxTIxKw6b792PbhoIL8Sul4lmPDTDoO9t2yltGyCa7qj8i5kOumtR3a2qYGz7wE3EDZ/m948gOgG6ZTJy5z6MkgWaxsxTh9AsA3uwgj1YxSjZmP0lmv/vCEnTx93cj9lXwqg4WIMVgqOzdA6dQrS7uKP9DN66GzSNpB3QOPATklaXLIOh2/YgY0HS7NJ9fRqz5tB39TbsoQpG2cEaqODlOR5pmND/9p3Ub7gcZ6SPaLJFcLxBON7A7HMZftc1ylgNExrfO4zwVP3nLffuRzN0hBdi9ZVJ/cL4vKBouo5m2+i2QyYE4dHXSWZmkFGEs30Mo1Ihi0LSMEQzDMq799D90cuIdovU84hOHCeZnER4bZAZmmWSeh3EzAzB4Z+QdjrIOFKzxtkZMiEwqn1opgrqN0qqnJBotYgnJtBsG3f7DiLDIBMpotXMR5qRxQkr92xbG94r4+imTmn7IPXrL8cZ7cc7dIo0iHvBxZqpo9umct0PVqletRnDtYlmPOYO/OSCu+LXhrbAIbT2B+zMoVkSP8EqK7VXbcNSwkZI4i9JyMlU16MjTx0jkxlmySSNU8K5kNhLFiVyRa2IZprxo39+Bd020PNY0dhL6JzskHjzSQsw+YNp/MkuVsXq1XgNm/lsP4OoffqmP/b0caYPzRK2IiQ6esmleaxD3E3pzMREkYbRX8XQDeJI0DrW4dA/v4puq+5MmmkSznXpHGuqmqA5kz+cpnmkRdyJ6c4EZGQESZOqM0Kfs5lItImETyeawTLKufdQIKVY0CVmGU/tAkNJSoFIY+WtQqKSXVpYhkvd2UYoOsRpl040Q7JMH+ylZChv5dm9ZhoijUjSkBOtg4u+ma/deX4Z7MscU9NyT9/yYSiLGymcw+6zhdE657fAmmWSdjBBIrp40QymblOy+tk5eCPT3mt0k8aCRKUMKVPkqpUj1LUVaUQzPMWM//qib6UUxOmCiamm9TyAp8eVnW6Lu+LYU6Ynfohh2Oi6iWmWyDJJkviIJECIoLdPKQUzky8qz6VuYtlltW3cRYgg95Bm2E4Nx62jGzZe6wQzEz9U49B0dN2gVr+MWt1iZvJFUhETBg2Ov/4tut7pOMg0jQi6s0yNv0Amz3wOx7FH1hnn5LHv5lUuUgJ/hiS5MJN11Ztc79VKzqRA10103cK1aiQiIBIdNPReea5UqmeLoTtkuW6ahovMBDL3YvfONxJEjYDGSxO4IxVM16K6cxCZSuJWuCikTA1IQzd0rD4H0zWZevYoohORRim1K4dwBsqIboLoRqBpjNy4g6lnjxA3AhovT+AMVbD6HKo7BkijKjISdE+1kUlK1OgyeouLUbIIpj3sfhezNEIw0casWCoGcg23mTNUxd0+QJDXB09aAYP1cr6yJ4km26pSyWAF3VbvCMMxMfLkYf+1KaKpNvFMR5VItBI6h05hD1Yw+1zc7QNouo5uG8RNn2yqTRrE2CN9uFv6c69pQtIO8F+bwqw69P/MGEmzS5ZKOodOkYYqRKu2fwftH54gmmjSPTKD2ediVl1ls1gGZs1FeBFxw6fzyjjOSI3y5SPMPfMqyZxH0vDovHSSeNZDdELcrQNY/WXlNQ6VB7v/7TtIGl2Sdpfu8TlklCDaAdZgdV3alV/Sxida3lowy5BRRDI1Ser7oOtYm9RsR0YRotXEHBjAHh3Ff/EHpJ5H6vskU1NE4yd7N6JmWUi/S9KYIzpxfNENKlotdbMPDYOuWiBqjoMMQ0S7TTx+Emt4hPKeq9X+uz4y6JIJoUIANA15vkvuOd3XpzFci4Ebr6S8cxh32wD2YAXRCUm7eWKDZWKWbUo7hjAqLmbVIZ71CE81af/wBEnrDTxMNbX8uvgNu7BP7XJ/K0NuPrFFSiULtPkWkWmeGLB6v9vWkRatI2uP75JCMv79CeL22WeBSVeQdAVHp1aXTfNwk+bh5pqOP/mDaXX6jo3u2uiORbcZEngejYkYzTLQq2V010bMtokbId53T/WWfTTbIgtj0iXtLpuvnXn8SHhU3RGqzhBkkiSNci9jgp63L9TzLPM8pVMVaM+vi64Z6OhkeSawzFLV/hRVoxVNeb5Mw6biDAGQyoQw6ZCebQl5AcqIXSl1N58wZAmR8Jlo/+hNKkWULTAgTxuDGlqeGb7SQzpbg0GH0mNNz+NpM7Rc15Xxer7jz+gmDULRph1NMly5gj5nlNHqrl5W+sIs+bPKtbdNhkQiZEw7nDy7fPNrcfp+z0MjtNUzxbNM0lxjR6AskzTnXlt1O9uuUioPousmXX+K6Yk8uVDTMQyLwZG92I6qjiBlgowTpsd/sGgfUgriqEO8bNF4DSEi0jQhipqqXugiR8FynsjVn1dnQ9M0FdZiqLAWQYip22oFwBkg1AyEjIAMXbOwzRJJqmRvmS5pmpAh8xJpQb4SsXCiAGmQ4B1rkAmJM1imvKVGOHmW2GwNDNdCM3QaPxxXS82WwdDbt6FbBqIbE8z42DWX+tWjzL5wkjT28I43SeMUN6lQGq2SSZCJoPnjaeJGl3DGZ3j/NgzHJJzxqGztx95aUjHzjoUIkzVN8sz+EqVtg3g/niBpdUkaPvUbdqr3icxUNZksw91aR7f03hL6/LJ6ONEkmmyResqA1rKM8OQcWSzIkhRnpI/5mtFivEk85xOebLD5vftxtw8STbRIWgHRdJvg6Cy1a7dTv34nSTMgHG/SeuEoSbOLVS8zeNsegmOzBMdnCU81KI0NYQ9Ve2PSSzbxnE8859F9fZpNd70NZ0s/STtQ59bqqpXKlmqF2fe2bVgDVdIgJmmqFYrqVVswayXMOUfJpNklaQXUb7oi7x9/Ybmkjc8sSRCtFp3v/1/M+gB9N9xMPDGODAJ010VGITKOyNKUeHKC+NQpUt9XS/RqD8vt9dzGIBKk76t4zvyBFU9PkSUx9dvvQDRbiGYD/8WDyPA8WmotwDs0TniySXiiSf/bd1DaMaSMTFfF6WQZZEIio4R41iM42cB/bYrWfx0lHG+oYOfzjPk0rBKWW8UwHVIREXlzGJaLqk0XYZg2mm6QJiGabqKbFlIk6LqBYbm4fSOQZfjNU0CGrpuU61uJvFlCbwbDcpFSkCZvTEY9zvfe0/KM+PmH4RvsgatZJpVrdzL/sjI3DWCUHYy+MsGhY6Sein9zLh8FXUd2AsyBCkatggwT4ok5wtdOkcXirGMxdDMvo+NimWVKWULNHaUTTmPoFjsGbiBDeQ8b3RNEwsO1+hmpXglAf2kLoegsSmY54xja/DFUCR7X7KPmjuJFM8TpG1sSFzKimzTQNB3brNBf2owfzZHkoQKGbvViWM8FmaUIGWIaDrbhYuoOqYwxdZuhyk5cs/qGenerONsaZXuQIGlh6i5DlctIs4Q49s9bfyyjjMwESRoy2XkFL5pF11XcZsUZoh2tvYoGQCx89NyDVrL6lW5EU70QCDOP/RUyIkp9dGHhmBVcqw/HrBIJFc86UNqGqdunvaRavopxAWPJdd1EN+y81/rp45iGQ6kyTCZTRLq2CZBuqHhuKVM0XRnTuun0HBnloW2I0Kc7Nw55/WLdzBOQsow0idBMG90wEIHP+Rqgum5RsusM9l2OZbh0gsneZMDQbcruECWnTsM7gqFbVEojqnEHMFTdqSaFWYZluLmXfPH9N3jtFpyhCnbNVcvguUdutQw84UWLV0U0MFxlZoiuQMYp3fE23vEmzmCZyrZ+7H6XpBORBonyoFoammaSxSlpKJChQKaSNEroHJ6j77JB+i4fxBks0/7JDFMHjqjfroJmKK+kyndIkFHeynjFWlQQz/nIl1QzhL69W+m7eivejyfUM9i1MPtLynkTJotkI5NUGaUizds45zWtU0kWp3l8ZoZmGip+U9eQQaK6DEkVH7piU/mc1I9IO6HaX2+yp8a9VK10W73jEz8kiwVpkDD15EGczXXsIeVplqEqT5ml2ZqM+TfKJW18YhjotoPRX8fs70d3HDRTiSSZmcYolzFrKj5JhiHSVzdolqakXgdzcAgMA9FoKMMwy0h9H922cXdejmg0cqNSYA0NYdYHMGv9mPU6WZzfpNn8ctSStTddxyiVkGGE7roY5YpKSBLn7/3MUknqR3SPzgAZ3WOz2EOn24HOb5MlKUknIPUiwskW4XgT0Qre0AtCJQO46IaJblhYVhnDUQ/DJGjnyQQSy+1TngOZqjha3cRy+7DsCgBuZYg4bOfLTAZ2uR/DcjCdKknYxm+eWnZZ7E3D0NEtW3mkpTz94NK008lpgFmtkAmBaLV7OnVeyWKZ6jZlVEsYZVe9p2NB1vJJ/ZBMpJi1MtgqAN1wbfSyg+Za6JqGbpn5GFe+dho6fa7y9E97r+V1MzWqzjCN7nGSJKAVnsr1NFU1KPNMc1XfUv3Oj+dI89qbkfDyWq5qSX/OP0bZHkDXzAXHyKg6w0Si84aNzwyJlIJG9wSWUWKgNEbFHs7br2rEaUCSBmfUzlx1v5kklQIvP88ttasRMkZDV8vqbzA5KRI+5KWRas4opuHgWv140TRB0uztX0OnXt7Wq91pm2U0TWdTdTdCRnlMrIrZ1DSDwfJYzyudZRm2WcbULDqpn8v+3FAllaJe3OhgeQcVe7AXUhEmHeI0QMSRquMrIxrdExiaxWjfVcTC7xmooEKedNfGGq2j2ybh65N5QoiuklmUCxjNUi9mTAPZjXovbSC/Fw31zEolmmWoxh1LMq/j2EMP5ujr3065OspwPpHTDRvbqhB0Z3OP5urX0qrUT0+MTSsvXK+TxgFSxGi6geGUcGpD6lmt65hOWWXAa7qaaNsOum7QGX8NKRJWa5aRphmnXo944ekO7Ybg5ed9GuMWrl1Xnk9NI5UJluli6HmXOOUiQ9ctTMNV+pLPqNO8JJiuqbGzzJlrho7hmDgDKjlnPmtatw3smkN1bAB3pEJppEpptA/dzK9DxqLExkxm+CdbOINlnGH1DE/8mKjRRTM0FeI1UM4Tc1Q95MSLiJsBle39uMMVwiEf07WQQl1n4ccqXjRP0BFevCZjSXghYd7Zzx7pI2n4yhiNhKppvbkfZ7Qfe7gPe6SGs8kjDRPMmop7NqqOqvpiGSp5yDKw6vnYu/Eip4O7pY5dL2OP9JElkmha3XP2QKVntJq1MuGppkoMChOqV28lDWJ02yA81VTP9r4SpbEhtb+hKs5ofy8M4Ey7IdeXKEF0Qiq7RkkaPnFDeUjJMuzhqjJ4/Shfkg9UQtdlw9gjNZKmr7ovdi98V6xL2vjULQujr4azZStGn1p2AY1MCOLpSUpX7MIaHEIzDITXUcaDpr4XjQb2plHsTaMEP/kxydwcaddHtJoYfTXKe68heO1VpO+TBgH26Bas4WGswUFEW3nxesq60EuWZSrzXtfRLAvdttEdF3NoiEymyO4be0nLWBCeaqx77KZmKA+mBph2Cbc6guX2ARlBZ4rIbyCSkHJtlCTyiIMWQvNV27pyHdMuoWkGumEhRECSe4HdyhCmXcYq9dNtnqTbnsrjyt6AUZChiswvbSWaXxOjWkEGoTJAhVDXUdfRKxX18pMSa8tmZBCS+l00Vz28zsf4zKQkbfrK+OyvIBodNUuNEkSjox4kWwbV+eo61lB/L7ZOs0wwtFVbomqazkBpDD+e40TzB4g0ouoMc9ng9cx1j9FNmnTzWo9Lmc1j/443/2vF/XvRDH40x+VDtxClvjqGjChZNa4YuoV2OL6KELIVH7QLkaRMdH5EzRll+8Dbe8XoQaPRPabqW0bTZ6jGvL4st/+MjDQTzHWPU3NHuWzwRkQaEqddGt0T2HlM7NLfzP91tjABAD+eRddMVaqoV+czZqrzyqLMe03TGa3uwbX6lPFpVLB0l7H62+kmjbw3uyp0P19qyTVrWIbLfLemREYESas3YZjf9+m2kgvOIFMFnua9uhkZSRpxsvVDhiuXM1K9EkM/XaVhsv0KnWgSP54hQ5KkAROdHzFcuZyx+n6SNCTMjy2RoINRcSntGcPoKxGNz6lQEdNA+lEeNmKqiZRlors2yVRTGaB5VXI9/z5LlNdGr7ggJOmSOMsobJKmMZu27KfWP8bg0C51ZTIJUnLy+LP43sTy12kJTm0Y0y0jRYLhlNAMi0zEhM1polg1WTDsMiW7TBoHaLqOVa5hlmrohkWahJhOGU036M6eVJPsVbrLyBQOvxRw+KWAp/5ZPbddu85IrY6GMjxj4WNbZWyzTJR0evG2hm7nxmeFMFYGUJx0MU0HQ7PUtV9mcpqlEjSwao5qYJFnZRt5klFt9wjOYBm7XqI6Vkc3dPxTLeWgyE7HYGappP3qNPW9o9SvHsUwDaJ5Tyrq/Wf1OeimMj6zDKK5Lp3XZ9nxnmuUITbjY5Qs4pZatYjbIcGUR23XkFo5W2Mx9KTRJdBn2XTPdWiaptpw2yYySDBrJcqXqZVAd3M/otUlzQ00e6QPUCEFwlfXeN7xYFbzsedl9DKpwksql4+gmTpkKlY0aPjYozVlPJYtyCCaauO/Nkk02cYe6WPw5iuRSYrwIvxXJ5Bxij1QoXrVKPZQH1atRHlsSF2vbLGcySsEAKReRDzToXbdGPGch/fKRN78JqH2tu0Yrq2cS0GM6ITEsx6j//1nyGRG0vDRTOOMCdyFQGs2mxfev3qe1Ov1C3sATVO1vRwXDJVEIeNYlVVKU3TbRrNs9WKSC0odaRq646qXO5qKzUxTkBLdLaGZqqZnGgSqbFOWKa+qYaIZBjKJe9nxpDKP6xSqCH25Qnn3HnTbJjx6hDQK0TSNvhtvJnz9MN0fvbzqaT3//PPceOONF1Z254hadu+j3L8Fw7Dy0lK5F0PT8RrHScI29c17Cb1Zuq1xLKeCUxmib/hymH9IZhle4zgi8qlvvRqZCqSIyFJB6M/RmTu2qidhJeblpls6Tp+NWTLxxv3eTN7dsxtN1xHNFkathmaZZFGMZisPiJibU/G6nk9pz1XolRK6bWNU+5BBQOd7zyv9OVtLj2XQLEN5gCyzV04DMrJEGb6abTFfO0ozTeytQ1jDNbovH0X6ITJYpaQWOv2lrbhmFdfsQ5IiZEIkOrTDyVWXqtembxr10hYcs0rJ7EciVcynaNOJps+aiW4ZpdzTmJIuqZO5FF0zekXk5wurA3myUZLHwS0+d9NwVMxlJnvL9EsxdRdDN3ueJWXQJSoOFhZ1LbIN5dGXmSSV0QreUY3nn3+O2/7bHZDHe542YlUGuoqFPf1bx6z2EkjUtioJa/7f6euk4ZrVPJZUxegq80KSiKDXtlZDQ9MMHLOae09P/17XDKw8031hfKiuGcqg0e1F8lVdoUQvqQXobWdoVm7IpqSZwNAssHXSfh1nxybM/gpoGkZFGZre8z/GHKziXrGF8LVxZBSrMdmqXWzqh3z7f32dOz7xP0immxi1MtZIHXOgSjLVpP3MSyrMZOFKjaZj29VlkuUykqSLTAVraQ1bGtqKVaph981XUwBNN4la08TeHLWxqyHLEFEX061AJon9NoZTQtdNldgjJVIktI+/nHs+z/0VrEqPOWiariZIaazCCzQjD4U4nZQ1X/ZLZikHnn2aW26+lVp5CyW7jq5beOE0nWCSdEHin+GaquZl2VJLyHlhc1W2R2JWbZXUaOgkfkSWSKRIMcs2mq6ppKT5seZeVLNsqUlNmpFGQsUAGxpm2UamUi05o5asZZxi97u9GEpN11RXtmZAfd9mKtv7kVGKd6xB5/DphglnJS9LZPWr9qgL95v6IYZro9kGuqmW5tNILYPrlsmz3/oO77jnDuUMCGLmW2cbZVsZ6rnXtzQ2SHXvFrqvTSE6IUmrqyZGJZuh264imlQJS8mcr2QZCWSaohkGZkWVQcxkli9/q3eeWXHQ8jJN810QVXmlfBshMaquWlZv+qouqGOiu5aqVxqoBCPN0DGrrnoaSFXuSrX4zrBqS2QiJGJpZ8hzpNlsnvX7S9rzSZaRCUG6cMlvwYNABgEEwYJYitMeShl0Iczj+xYYEzIMTsf9Lfy8e2YyytJHTiYEabuFjKLc+6mhm6aK5QuC86/xuQHIpCBNApLII9WNPCg/fwnqFiIOSEVM1G2SRD4yTZCpiuGMunOnDVU00iREpglRt4kUMamIVJu8yDtvw3MhMpEEc0uMEI18AmGgO6HKOtR19L6qulaoxCAtttGsSCUJ2Q6aY4Ou5fbi+c3zsiTNZ6LLL4VkSwoJC8dSD5eWv6YZbEZGJNp5GTxTeblkSDdurjkZaHUywsQjy8DQbPXClDFB3FxksCzHucRpzhtiS43MlUcl17R/IUPEGlVrUdb3WY4Mi43W1VipleZy+17LfpVBKHodjBZ+IzOx7PFkliLzEIbVSPPQjKUkBGiaiSmrZFGMjCzM/vw+0jSM/jJGfwWjr6RelBnoJQvdtZWTwFXLrbprkUXKeNNda3HM2xknK4mjcw83WIoIu2r/upE/azI0w0REPlIkJH4zr5QRkEnlLUz8FmkU9CbcUqZIkcf4n+8zITtTb2W6ggcwr/QwTyoT4qSLhoGuG4g0OGMcaShIQ4Hw83qTS4YZN5a//suVO8pSiejGiG58Oi5ywcRAdJNljxHO5u/l+cgmQ8MZLGOWLTRdozvRJm6fQ4y/VE6kXpvqJcfr1fZcQiryXIw5L1/MOP3DtBsrPcg/EvUyMs9oF80uccMHmWGgOiCKTkjS6BLPeovOOSMlDuJlc9PWUt4w9cJe6XkZC2Qs0LqRGmou60xI4sjLF3i1RddgJZlcSC5t43Oe1R4AKwYkrxCsvNLnayQ+dQKzPkD5mrcpAzmOCX7yY0Rr7ZnaGw1lTCYk4dlfip2Z13t/J5FHEnn4zZPLbhv6a5zxvhlk6iGqmSZ6XxXZaoOm4Vy+kyyOkXGMUa2q7GXDwBoYAE1DtNuI2bleUtkbTUBaC8lkg2TyXMIqMoKkTZC0aQQnLti4QtEmFG1a4Xq0aC3YyGRSknajfIndQGia8uSLFHvzAHrZRSYpaUu1bLW2DKqXpaFjbx0EVCx0PDFHlmUY/RWyiQai0Vk1ue6NkPhNEr9JMLe8Dsfe+oYznS9+NIMfzay63WohAefMMnkDKx5jyaZGyWLgui3Y9RKartF5bfb8Oiudq2osXNpeypJVLBmqZF0ZxMhkgfddSOJZFacvE7GssX1eYzvbsFdqw7nEgH6zj7tWCuNzAyI6bdIwQLSVsZlJiez6Kr6w4KIRHT2GZuhkGZi1GrpjEZ88peq5BoG6n1MVB+r/4CDz8cPMl15ZB8OzoOCnAimRQUR0cgZtMk94zDIVumznMe+Gjmgoj4xodXuhJbptwf+E4OVjZEKSzLTyWNA8FKW4z96SpEFC4+B4XgZJQ4oLH5d4riQNH+9Q0lvqnieNErwfnep1G7oYxt5GozA+NyDzsaXLLdUXXDykly9NaBpZyUXqGlkQkHoeMggXZTuKaPWWkQUFlywZICRymZaWy5kUcpnsW9FU92MWJojwpzckqWBtZGlGNLex34nzS95nfpH9VHcHvBAUxmdBwbmSZSSTU8t+XlBQUFBQUHB2LnwPpYKCgoKCgoKCgoKcDV1qqaCgoKCgoKCg4K1F4fksKCgoKCgoKChYNwrjs6CgoKCgoKCgYN0ojM+CgoKCgoKCgoJ1ozA+CwoKCgoKCgoK1o3C+CwoKCgoKCgoKFg3CuOzoKCgoKCgoKBg3diQxuff/M3fcN111zE6OsrP/dzP8cwzz1zsIW0oHnnkEer1+qJ/V111Ve/7LMt45JFH2Lt3L5s3b+Y973kPhw4duogjvjh897vf5UMf+hBXX3019Xqdr3zlK4u+X4ucms0mH/vYx9ixYwc7duzgYx/7GM1mcx3PYv1ZTW4PPPDAGfp31113LdomiiJ+53d+hyuuuIKtW7fyoQ99iJMnT67naaw7jz32GO9617sYGxvjyiuv5IMf/CAvv/zyom0KnTuTtcit0Lnl+eu//mtuvfVWxsbGGBsb493vfjdPPvlk7/tC35ZnNbkV+nbh2XDG59e//nU+85nP8Nu//dt8+9vf5qabbuIDH/gAx48fv9hD21Ds3r2bV155pfdvoYH+hS98gS9+8Yv86Z/+Kf/xH//ByMgI73//++l0OhdxxOuP7/tcc801PProo5RKpTO+X4ucfuM3foODBw/y+OOP8/jjj3Pw4EE+/vGPr+dprDuryQ3g9ttvX6R///RP/7To+wcffJB//dd/5W//9m/5xje+QafT4YMf/CBpuvH6Mb9ZfOc73+HXf/3XefLJJ3niiScwTZP3ve99NBqN3jaFzp3JWuQGhc4tx9atW/mDP/gDvvWtb/HUU0/xzne+k/vvv58XX3wRKPRtJVaTGxT6dqHZcEXm77zzTvbt28df/uVf9j772Z/9WX7xF3+Rhx9++CKObOPwyCOP8MQTT3DgwIEzvsuyjL179/Kbv/mbfOpTnwIgCAJ2797NH/3RH/GRj3xkvYe7Idi2bRuf+9znuP/++4G1yemVV17h5ptv5pvf/Ca33HILAAcOHOCee+7h+eefZ/fu3RftfNaLpXID5RWYm5vjq1/96rK/abVa7Nq1iy9+8Yv8yq/8CgAnTpzg2muv5fHHH+fOO+9cl7FfbDzPY8eOHXzlK1/hnnvuKXRujSyVGxQ6dy7s3LmThx9+mF/7tV8r9O0cmJfbRz7ykULf1oEN5fmM45gXXniBO+64Y9Hnd9xxB9/73vcu0qg2JkeOHGHv3r1cd911fPSjH+XIkSMAHD16lMnJyUUyLJVK3HrrrYUMF7AWOT333HNUq1Vuvvnm3ja33HILlUrlkpflgQMH2LVrF9dffz2f+MQnmJ6e7n33wgsvkCTJItlu376dPXv2XFJy8zwPKSX1eh0odG6tLJXbPIXOnZ00Tfna176G7/vcdNNNhb6tkaVym6fQtwuLebEHsJDZ2VnSNGVkZGTR5yMjI0xNTV2kUW08brjhBr70pS+xe/duZmZm+LM/+zPuvvtunn32WSYnJwGWleH4+PjFGO6GZC1ympqaYmhoCE3Tet9rmsbw8PAlrY933XUX9957L5dddhnHjh3jj//4j7nvvvv4z//8TxzHYWpqCsMwGBoaWvS7S+0+/sxnPsO1117be6EVOrc2lsoNCp07Gy+99BJ33303YRhSqVT48pe/zL59+3oyTUQfAAAEYklEQVRGUKFvy7OS3KDQt/VgQxmfBWvj3e9+96L/33DDDezfv59/+Id/4MYbb7xIoyq4VPilX/ql3t/79u1j//79XHvttTz55JPcd999F3FkG4ff+73f49lnn+Wb3/wmhmFc7OH81LCS3AqdW5ndu3fz9NNP0263+Zd/+RceeOAB/u3f/u1iD2vDs5LcrrnmmkLf1oENtew+NDSEYRiL3NsA09PTbNq06SKNauNTrVbZu3cvhw8fZnR0FKCQ4SqsRU6bNm1idnaWLDsdFp1lGTMzM4UsF7Blyxa2bt3K4cOHASW3NE2ZnZ1dtN2looMPPvggX/va13jiiSfYuXNn7/NC587OSnJbjkLnTmPbNldccQX79+/n4Ycf5tprr+VLX/pSoW+rsJLclqPQtzefDWV82rbN/v37eeqppxZ9/tRTTy2KSSlYTBiGvPrqq4yOjnLZZZcxOjq6SIZhGHLgwIFChgtYi5xuuukmPM/jueee623z3HPP4ft+IcsFzM7OMj4+3nvZ7d+/H8uyFsn25MmTveSGtzKf/vSnewbUwvJnUOjc2Tib3Jaj0LmVkVISx3Ghb+fIvNyWo9C3N58Nt+z+W7/1W3z84x/n+uuv5+abb+bv/u7vmJiYuGSztJfjs5/9LL/wC7/A9u3bezGf3W6XD3/4w2iaxgMPPMBjjz3G7t272bVrF5///OepVCr88i//8sUe+rrieV5vpiql5MSJExw8eJCBgQHGxsZWldOePXu46667+OQnP8lf/MVfAPDJT36Sn//5n39LZ4GeTW4DAwM8+uij3HfffYyOjnLs2DH+8A//kJGREd773vcC0N/fz6/+6q/y8MMPMzIywsDAAA899BD79u3j9ttvv4hndmH51Kc+xVe/+lW+/OUvU6/XezGelUqFarW6pnvzUtS51eTmeV6hcyvw+7//+9x9991s27YNz/N4/PHH+c53vsM//uM/Fvp2Fs4mt0Lf1ocNV2oJVJH5L3zhC0xOTnL11VfzJ3/yJ7zjHe+42MPaMHz0ox/lmWeeYXZ2luHhYW644QYeeugh9u7dC6hlk0cffZS///u/p9lscv311/P5z3+ea6655iKPfH15+umnuffee8/4/MMf/jB/9Vd/tSY5NZtNfvd3f5d///d/B+Cee+7hc5/73BmZuG8lzia3xx57jPvvv5+DBw/SarUYHR3ltttu46GHHmL79u29baMo4rOf/SyPP/44YRjyzne+kz//8z9ftM1bjZV04tOf/jQPPvggsLZ781LTudXkFgRBoXMr8MADD/D0008zNTVFrVZj3759fOITn+iV+in0bXnOJrdC39aHDWl8FhQUFBQUFBQUvDXZUDGfBQUFBQUFBQUFb20K47OgoKCgoKCgoGDdKIzPgoKCgoKCgoKCdaMwPgsKCgoKCgoKCtaNwvgsKCgoKCgoKChYNwrjs6CgoKCgoKCgYN0ojM+CgoKCgoKCgoJ1ozA+CwoKCgoKCgoK1o3/DwKHiV9YKwtBAAAAAElFTkSuQmCC",
-                        "text/plain": [
-                            "<Figure size 720x576 with 1 Axes>"
-                        ]
-                    },
-                    "metadata": {},
-                    "output_type": "display_data"
-                }
-            ],
-            "source": [
-                "#visualisiert negative Bewertunegen\n",
-                "bad=alexa[alexa.feedback==0].verified_reviews.unique().tolist()\n",
-                "bad=\" \".join(bad)\n",
-                "cv=WordCloud().generate(bad)\n",
-                "cv\n",
-                "plt.figure(figsize=(10,8))\n",
-                "plt.imshow(cv)\n",
-                "\n",
-                "\n",
-                "# # Meachine Learning Model Teil"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 89,
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "text/plain": [
-                            "['i',\n",
-                            " 'me',\n",
-                            " 'my',\n",
-                            " 'myself',\n",
-                            " 'we',\n",
-                            " 'our',\n",
-                            " 'ours',\n",
-                            " 'ourselves',\n",
-                            " 'you',\n",
-                            " \"you're\",\n",
-                            " \"you've\",\n",
-                            " \"you'll\",\n",
-                            " \"you'd\",\n",
-                            " 'your',\n",
-                            " 'yours',\n",
-                            " 'yourself',\n",
-                            " 'yourselves',\n",
-                            " 'he',\n",
-                            " 'him',\n",
-                            " 'his',\n",
-                            " 'himself',\n",
-                            " 'she',\n",
-                            " \"she's\",\n",
-                            " 'her',\n",
-                            " 'hers',\n",
-                            " 'herself',\n",
-                            " 'it',\n",
-                            " \"it's\",\n",
-                            " 'its',\n",
-                            " 'itself',\n",
-                            " 'they',\n",
-                            " 'them',\n",
-                            " 'their',\n",
-                            " 'theirs',\n",
-                            " 'themselves',\n",
-                            " 'what',\n",
-                            " 'which',\n",
-                            " 'who',\n",
-                            " 'whom',\n",
-                            " 'this',\n",
-                            " 'that',\n",
-                            " \"that'll\",\n",
-                            " 'these',\n",
-                            " 'those',\n",
-                            " 'am',\n",
-                            " 'is',\n",
-                            " 'are',\n",
-                            " 'was',\n",
-                            " 'were',\n",
-                            " 'be',\n",
-                            " 'been',\n",
-                            " 'being',\n",
-                            " 'have',\n",
-                            " 'has',\n",
-                            " 'had',\n",
-                            " 'having',\n",
-                            " 'do',\n",
-                            " 'does',\n",
-                            " 'did',\n",
-                            " 'doing',\n",
-                            " 'a',\n",
-                            " 'an',\n",
-                            " 'the',\n",
-                            " 'and',\n",
-                            " 'but',\n",
-                            " 'if',\n",
-                            " 'or',\n",
-                            " 'because',\n",
-                            " 'as',\n",
-                            " 'until',\n",
-                            " 'while',\n",
-                            " 'of',\n",
-                            " 'at',\n",
-                            " 'by',\n",
-                            " 'for',\n",
-                            " 'with',\n",
-                            " 'about',\n",
-                            " 'against',\n",
-                            " 'between',\n",
-                            " 'into',\n",
-                            " 'through',\n",
-                            " 'during',\n",
-                            " 'before',\n",
-                            " 'after',\n",
-                            " 'above',\n",
-                            " 'below',\n",
-                            " 'to',\n",
-                            " 'from',\n",
-                            " 'up',\n",
-                            " 'down',\n",
-                            " 'in',\n",
-                            " 'out',\n",
-                            " 'on',\n",
-                            " 'off',\n",
-                            " 'over',\n",
-                            " 'under',\n",
-                            " 'again',\n",
-                            " 'further',\n",
-                            " 'then',\n",
-                            " 'once',\n",
-                            " 'here',\n",
-                            " 'there',\n",
-                            " 'when',\n",
-                            " 'where',\n",
-                            " 'why',\n",
-                            " 'how',\n",
-                            " 'all',\n",
-                            " 'any',\n",
-                            " 'both',\n",
-                            " 'each',\n",
-                            " 'few',\n",
-                            " 'more',\n",
-                            " 'most',\n",
-                            " 'other',\n",
-                            " 'some',\n",
-                            " 'such',\n",
-                            " 'no',\n",
-                            " 'nor',\n",
-                            " 'not',\n",
-                            " 'only',\n",
-                            " 'own',\n",
-                            " 'same',\n",
-                            " 'so',\n",
-                            " 'than',\n",
-                            " 'too',\n",
-                            " 'very',\n",
-                            " 's',\n",
-                            " 't',\n",
-                            " 'can',\n",
-                            " 'will',\n",
-                            " 'just',\n",
-                            " 'don',\n",
-                            " \"don't\",\n",
-                            " 'should',\n",
-                            " \"should've\",\n",
-                            " 'now',\n",
-                            " 'd',\n",
-                            " 'll',\n",
-                            " 'm',\n",
-                            " 'o',\n",
-                            " 're',\n",
-                            " 've',\n",
-                            " 'y',\n",
-                            " 'ain',\n",
-                            " 'aren',\n",
-                            " \"aren't\",\n",
-                            " 'couldn',\n",
-                            " \"couldn't\",\n",
-                            " 'didn',\n",
-                            " \"didn't\",\n",
-                            " 'doesn',\n",
-                            " \"doesn't\",\n",
-                            " 'hadn',\n",
-                            " \"hadn't\",\n",
-                            " 'hasn',\n",
-                            " \"hasn't\",\n",
-                            " 'haven',\n",
-                            " \"haven't\",\n",
-                            " 'isn',\n",
-                            " \"isn't\",\n",
-                            " 'ma',\n",
-                            " 'mightn',\n",
-                            " \"mightn't\",\n",
-                            " 'mustn',\n",
-                            " \"mustn't\",\n",
-                            " 'needn',\n",
-                            " \"needn't\",\n",
-                            " 'shan',\n",
-                            " \"shan't\",\n",
-                            " 'shouldn',\n",
-                            " \"shouldn't\",\n",
-                            " 'wasn',\n",
-                            " \"wasn't\",\n",
-                            " 'weren',\n",
-                            " \"weren't\",\n",
-                            " 'won',\n",
-                            " \"won't\",\n",
-                            " 'wouldn',\n",
-                            " \"wouldn't\"]"
-                        ]
-                    },
-                    "execution_count": 89,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                }
-            ],
-            "source": [
-                "stopwords.words('english')"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 90,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "corpus = []\n",
-                "stop_words = set(stopwords.words('english'))\n",
-                "stop_words.remove('not')\n",
-                "for i in range(0, len(alexa)):\n",
-                "    review = re.sub('[^a-zA-Z]', ' ', alexa['verified_reviews'][i])\n",
-                "    review = review.lower()\n",
-                "    review = review.split()\n",
-                "    ps = PorterStemmer()\n",
-                "    review = [ps.stem(word) for word in review if not word in stop_words]\n",
-                "    review = ' '.join(review)\n",
-                "    corpus.append(review)"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 91,
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "text/plain": [
-                            "['love echo',\n",
-                            " 'love',\n",
-                            " 'sometim play game answer question correctli alexa say got wrong answer like abl turn light away home',\n",
-                            " 'lot fun thing yr old learn dinosaur control light play game like categori nice sound play music well',\n",
-                            " 'music',\n",
-                            " 'receiv echo gift need anoth bluetooth someth play music easili access found smart speaker wait see els',\n",
-                            " 'without cellphon cannot use mani featur ipad not see use great alarm u r almost deaf hear alarm bedroom live room reason enough keep fun ask random question hear respons not seem smartbon polit yet',\n",
-                            " 'think th one purchas work get one everi room hous realli like featur offer specifili play music echo control light throughout hous',\n",
-                            " 'look great',\n",
-                            " 'love listen song heard sinc childhood get news weather inform great',\n",
-                            " 'sent year old dad talk constantli',\n",
-                            " 'love learn knew thing eveyday still figur everyth work far easi use understand make laugh time',\n",
-                            " 'purchas mother knee problem give someth tri come not get around fast like enjoy littl big thing alexa play song time cook',\n",
-                            " 'love love love',\n",
-                            " 'expect',\n",
-                            " 'love wife hate',\n",
-                            " 'realli happi purchas great speaker easi set',\n",
-                            " 'use alexa coupl day lot fun new toy like new household member tri learn differ featu benefit come',\n",
-                            " 'love size nd gener echo still need littl improv sound',\n",
-                            " 'like origin echo shorter greater fabric color choic miss volum ring top plu minu button not big deal ring w comfort well like use standard usb charger port instead previou round pin guess sound seem work still answer alexa echo comput not like',\n",
-                            " 'love echo good music sound play alexa understand command difficult time find specif playlist song spotifi good amazon music lack major program',\n",
-                            " 'love alexa use play music play radio itun play podcast anypod set remind listen flash brief news weather everi morn reli custom list like abl voic control volum sure continu find new use sometim bit frustrat alexa understand say',\n",
-                            " 'set day still ad smart home devic speaker great play music like size station kitchen counter not intrus look',\n",
-                            " 'love play sleep sound immedi ask',\n",
-                            " 'got second unit bedroom expect sound improv didnt realli see differ overal not big improv st gener',\n",
-                            " 'amaz product',\n",
-                            " 'love echo easi oper load fun everyth advertis use mainli play favorit tune test alexa knowledg',\n",
-                            " 'sound great love',\n",
-                            " 'fun item play get use use sometim hard time answer question ask think better',\n",
-                            " 'like one',\n",
-                            " 'still learn capabl far pretti pretti pretti good',\n",
-                            " 'like',\n",
-                            " 'work well need learn command uniqu owner user like alexa learn tasha birthday alexa learn definit fine etc great',\n",
-                            " 'speaker sound pretti good small setup pretti easi bought two reason rate follow instruct synch music unit know done correctli sync primari motiv purchas multipl unit',\n",
-                            " 'devic awesom',\n",
-                            " 'bought compar speaker qualiti first gener speaker like sound better ship daughter though like fact first gener chargeabl base bought keep mobil need better sound',\n",
-                            " 'love echo still learn thing abl follow instruct includ packag found great one u tube',\n",
-                            " 'speaker better st gener echo',\n",
-                            " 'thing way cool get one want cool',\n",
-                            " 'first digit assist give good review speaker realli good cheap price prime day fun play use alarm clock go get first place end echo go one definit tri like best number devic connect purchas came smart plug connect lamp alexa turn light',\n",
-                            " 'husband like abl use listen music wish knew capabl',\n",
-                            " 'android would not allow alexa connect fortun sister appl cell hour tech support fix glitch run',\n",
-                            " 'far good',\n",
-                            " 'tri play certain broadway show like camelot give ne group camelot',\n",
-                            " 'great',\n",
-                            " 'satisfi echo alexa control light famili room wife listen jimmi buffet ask alexa',\n",
-                            " 'like siri fact siri answer accur alexa see real need household though good bargain prime day deal',\n",
-                            " 'love echo still learn everi thing work ton fun',\n",
-                            " 'love much',\n",
-                            " 'differ appl play specif list music must amazon spotifi plu prime etc account must pay play music star reason everyth els',\n",
-                            " 'excelent lo unico es que esta en espa ol',\n",
-                            " 'still learn use far echo great sound actual much better expect',\n",
-                            " 'work expect also good sound qualiti consid price sale featur',\n",
-                            " 'sound echo nd gener phenomen not mention love alexa help',\n",
-                            " 'like googl better',\n",
-                            " 'let play learn get',\n",
-                            " 'work advertis easi setup still learn',\n",
-                            " 'great sound easi set',\n",
-                            " 'love alexa bought other friend',\n",
-                            " 'love echo purchas compani husband alexa great say name tell joke play favorit song',\n",
-                            " '',\n",
-                            " 'love abl listen music easili still learn featur avail',\n",
-                            " 'realli know could use devic use thing need overview',\n",
-                            " 'love wish built hub',\n",
-                            " 'use primarili play music work wonder still get use mani thing amazon sent sever tip sinc got thank help',\n",
-                            " 'easi set',\n",
-                            " 'fast respons amaz clear concis answer sound qualiti fantast still get use alexia not usd echo full extent',\n",
-                            " 'need na na nana',\n",
-                            " 'everyth expect',\n",
-                            " 'love echo work like said would smart home cannot speak function everyth els good',\n",
-                            " 'great sound small packag easi set use fun',\n",
-                            " 'work sound great',\n",
-                            " 'sound amaz mani collect music',\n",
-                            " 'set',\n",
-                            " 'alway listen',\n",
-                            " 'awesom',\n",
-                            " 'bought control fio televis work well hope time control fio discov thing alexa play music ask great sound alexa play game play radio station play old time radio program like long ranger alexa mani app add abil day play madlib great fun also alexa control household applianc purchas alexa compat power strip control light fan tv compon look forward implement control also add alexa compon chosen music play room compon locat',\n",
-                            " 'speaker excel sound work perfectli',\n",
-                            " 'like',\n",
-                            " 'love everyth',\n",
-                            " 'littl nervou receiv new echo not realli tech savvi found bit intimid first take long figur happi purchas think ad echo spot',\n",
-                            " 'like still learn use',\n",
-                            " 'great technolog believ speaker volum qualiti wonder wish bought anoth one',\n",
-                            " 'purchas echo dot husband father day use constantli hear qualiti sound echo nd gener brainer best gift ever',\n",
-                            " 'work fine',\n",
-                            " '',\n",
-                            " 'clear music',\n",
-                            " 'fun use good sound qualiti',\n",
-                            " 'echo work well abl sync amazon music devic',\n",
-                            " 'work great think amazon charg anoth cent unlimit music prime buy echo',\n",
-                            " 'alreadi echo dot echo even better fuller sound also setup let phone call made contact list great',\n",
-                            " 'speaker sound realli good',\n",
-                            " 'good sound work well',\n",
-                            " 'love alexa not savvi support help patient',\n",
-                            " 'love think get one prime day discount offer could not pass fun ask alexa play song group come playlist amazon prime music also connect iphon bluetooth play music pandora youtub video use alexa speaker fun ask alexa differ type question inform like weather news even time countri downsid limit data wifi plan alexa use burn play music',\n",
-                            " 'like far lot tri yet',\n",
-                            " 'love use strictli music great',\n",
-                            " 'love echo love size materi speaker qualiti hook one light easili work addit light thermostat next echo dot bedroom lot echo think traffic weather trivia etc',\n",
-                            " 'love',\n",
-                            " 'entir famili love alexa echo part famili',\n",
-                            " 'great fun get know function product wow famili fun homework help talk grandchildren also echo huge bonu wait learn',\n",
-                            " 'love',\n",
-                            " 'awesom thing love alexa',\n",
-                            " 'work exactli expect speaker great sound perfect classroom',\n",
-                            " 'love love new littl gadget made live much easier like person secretari live home hardli need cd anymor sinc alexa play everyth need go get alexa dot soon room thank',\n",
-                            " 'speaker surpris qualiti happi purchas',\n",
-                            " 'easi set work wonder love',\n",
-                            " 'realli impress sound qualiti play music devic bass sound almost like come bigger speaker prop amazon',\n",
-                            " 'still great product sound qualiti seem wors get wrong definit get use within hour definit feel like echo gen sound qualiti better besid great addit abl play bluetooth wifi even better',\n",
-                            " 'outlet not work disappoint',\n",
-                            " 'great devic respons help',\n",
-                            " 'sound terribl u want good music get bose',\n",
-                            " 'like sound troubl paid extra money access million song sometim work ex alexa play italian song understand play opera tosca respons sorri',\n",
-                            " 'easi set use bad plug would nice take outsid oper batteri recharg',\n",
-                            " 'still learn way use real hit grandkid ask play music danc yr cute',\n",
-                            " 'star gener like product great ask like play music set timer make call reason rate sometim connect die echo stop play music show red ring seem connect issu overal great product',\n",
-                            " 'work great upgrad echo dot full size echo happier',\n",
-                            " 'alexa els say',\n",
-                            " 'upgrad lilttl echo dot happi sound',\n",
-                            " 'excel product set eas well',\n",
-                            " 'first gen echo sinc first came work well purchas nd gen prime day far happi seem improv speaker provid enhanc sound music',\n",
-                            " 'love echo smart speaker love volum clariti easi set wonder gift age',\n",
-                            " 'wonder product fast deliveri',\n",
-                            " 'initi harder set call tech knowledg work great',\n",
-                            " 'easi set famili love',\n",
-                            " 'great sound respons voic command',\n",
-                            " 'live long without echo get enjoy music style ask alexa go gread wireless love echo love alexa',\n",
-                            " 'cool product speaker sound good spotifi blast',\n",
-                            " 'much fun alexa love abl listen music across room busi someth els',\n",
-                            " 'far seem nice item pick voic understand without problem day ask turn music next room heard fine use listen music check weather done thing well',\n",
-                            " 'love echo',\n",
-                            " 'love help use rememb thing sleep ask anyth week still learn',\n",
-                            " 'better st gen everi way except one realli miss ring top volum control quicker easier grab top twist without look button find one press time also wish bass bit better great devic happi',\n",
-                            " 'love alexa',\n",
-                            " 'far like',\n",
-                            " 'thoroughli enjoy ecoo love read audiobook offic simpli open audiobook kindl continu elsewher wonder listen music not mood book great set remind much',\n",
-                            " 'still love',\n",
-                            " 'love',\n",
-                            " 'love sound qualiti unit clear sound',\n",
-                            " 'listen talk radio morn turn light etc system excel job full hous sound system stream siriu',\n",
-                            " 'week still learn alexa learn process love music call time listen podcast radio station start keep shop list groceri list love search paper pencil get time temperatur great not wait weather report sound good not fussi woofer tweeter base etc echo fine afternoon go tri drop son get home go surpris',\n",
-                            " 'not much featur',\n",
-                            " 'great sound qualiti great featur great product multi room music cool',\n",
-                            " 'cool',\n",
-                            " 'everyon echo two three bought echo qvc',\n",
-                            " 'annoy everyth show alexa abl download spend much time tri figur phrase machin may well look',\n",
-                            " 'alexa sinc begin accident spill water replac nd gener decid without echo setup easi work within minut',\n",
-                            " 'like abl tell alexia music want hear sometim troubl find song not specif titl',\n",
-                            " 'like look better origin echo move old echo basement famili room nice sound',\n",
-                            " 'echo wonder still learn use music request somewhat limit',\n",
-                            " 'know half thing ask recogn sprinkler wifi control even though product detail say compat program chang wifi thermostat set match wifi router handi music player amazon music',\n",
-                            " 'love',\n",
-                            " 'awesom understand kid',\n",
-                            " 'pleasantli surpris sound qualiti mani featur nice easili hear particular artist hear book simpl command look forward explor option devic',\n",
-                            " 'met exceed expect easi set realli quick respons',\n",
-                            " 'like fact get kind music prime want request alexa like inform photo littl pamphlet wish includ connect tv etc command alexa realli love music',\n",
-                            " 'not found way access echo thorough prime account think part top line video music etc also think setup app defin exampl music like not well integr echo tri ask playlist echo not sure even though set play list set also not like fact word exact match playlist name never rememb like readi natur echo respond queri',\n",
-                            " 'great item ad audibl book make even better thank',\n",
-                            " 'prime day nd gen echo sale resist begin smart home set happier say alexa done amaz job connect smart devic thank control light smart plug tv etc troubl connect echo wifi phone app work perfectli fine let add skill routin smart devic timer much sound qualiti good enough sinc not audiophil alexa hear voic even watch movi high volum design great modern definit add nice touch home chang cover like sale overal great addit home enabl mani possibl yet sure add alexa home',\n",
-                            " 'versatil fun',\n",
-                            " 'work great killer speaker wife son love',\n",
-                            " 'regret wait long purchas item surpris pleas sound qualiti',\n",
-                            " 'stop work week follow command realli fun work',\n",
-                            " 'far love work get thing set love groceri list app',\n",
-                            " 'perform pretti much expect disappoint not provid terminolog need play variou kind music without subscrib amazon music servic understand music choic may limit without know ask cannot access music provid free along echo purchas chart show languag need use',\n",
-                            " 'easi set',\n",
-                            " 'like product except speaker not high qualiti expect',\n",
-                            " 'great invest alexa help made laugh',\n",
-                            " 'yet anoth exho home love',\n",
-                            " 'love plan gender music big band jazz not easi find local radio sound good stop voic command get phone call',\n",
-                            " 'good valu',\n",
-                            " 'super easi set love new echo',\n",
-                            " 'what not like speaker ask alexa',\n",
-                            " 'best father day gift dad joke mom alexa one listen repeat stori go forward',\n",
-                            " 'great addit breakfast room kitchen tune inform instantli avail slowli learn featur',\n",
-                            " 'sound qualiti',\n",
-                            " 'sad joke worthless',\n",
-                            " 'entertain',\n",
-                            " 'good qualiti',\n",
-                            " 'work great sound great not miss beat wish batteri better portabl',\n",
-                            " 'love till someon stole afford replac yet go',\n",
-                            " 'alexa rock',\n",
-                            " 'got gift love never would bought one allow play music amozon prime music worth also give new brief tell joke',\n",
-                            " '',\n",
-                            " 'mom bought echo dot repeat ask take one great told two day made take hour later could not live life without amaz four larg speaker small echo dot return say go order alexa speaker go big get echo otherwis tou return two echo dot live without',\n",
-                            " 'love great product',\n",
-                            " 'easi set user friendli',\n",
-                            " 'realli disappoint alexa plug wall socket time fault not check made assumpt compani technolog advanc amazon would sell product recharg batteri could return would appl music boom speaker give flexibl alexa',\n",
-                            " 'think nd gen sound good st aux could add extern speaker go get dot nd issu uniqu unit understand overrid default prevent play blue tooth speaker play group get delay use bt speaker unit not heard abl play group use bt speaker',\n",
-                            " 'everyth',\n",
-                            " 'like interact ask question like ask setup schedul connect lamp',\n",
-                            " 'supberb sound definit worth extra money listen lot music',\n",
-                            " 'realli love amazon echo think sound qualiti great lot fun realli handi music get updat weather sport',\n",
-                            " 'love grandkid',\n",
-                            " 'far work well not alway intuit link differ devic skill get hang',\n",
-                            " 'work advertis',\n",
-                            " 'love',\n",
-                            " 'love new addit hous speaker qualiti great love alexa two not complaint suggest futur seri would better commun abil exampl smart light hous unless specifi kitchen light kitchen light prior command either respond say recogn may want alexa respond say thank afterward repeat alexa thank time respond husband know sound odd laugh mayb southern thing want alexa manner',\n",
-                            " 'like everyth music trivia game weather',\n",
-                            " 'describ receiv time not like automat enrol music',\n",
-                            " 'great devic',\n",
-                            " 'own echo overa year new lack easi way increas decreas volum without tell increas decreas volum hard wife sinc english second languag born korea sound echo superb keep',\n",
-                            " 'love kitchen work well',\n",
-                            " 'nice impress wish say though',\n",
-                            " 'love product nice easi access much info',\n",
-                            " 'got great sound bass work time still hot miss recogn thing',\n",
-                            " 'still discov echo',\n",
-                            " 'amaz paroduct',\n",
-                            " 'good hear rang sound qualiti bit complic set quit understand lot even speak slowli clearli love flash brief featur interfac abod home secur system',\n",
-                            " 'speaker sound good',\n",
-                            " 'absolut love',\n",
-                            " 'best part product control thermostat light hous anyth dislik',\n",
-                            " 'thoroughli enjoy amazon echo instal easi use alexa app purchas kasa smart plug control live room light instal easi use kasa app sinqu right echo enjoy play music echo sound qualiti awesom ad kasa smart bulb kitchen setup seamless look forward ad autom home',\n",
-                            " 'home entertain',\n",
-                            " 'cool product easi setup fun use sound qualiti much better anticip',\n",
-                            " 'love great sound easi connect use',\n",
-                            " 'work fairli new smart tv mainli tv manufactur lg fault due not support anyth older tv year smart lock also need addit piec equip order connect well speaker sound great work well',\n",
-                            " 'great sound littl speaker',\n",
-                            " 'enjoy',\n",
-                            " '',\n",
-                            " 'cool',\n",
-                            " 'good qualiti great sound qualiti',\n",
-                            " 'work perfectli',\n",
-                            " 'great product sometim alexa not understand command fire tv fabul speaker',\n",
-                            " 'love echo great sound smart',\n",
-                            " 'sure love',\n",
-                            " 'play great',\n",
-                            " 'work absolut great',\n",
-                            " 'amaz product great sound qualiti',\n",
-                            " 'best thing invest thank much',\n",
-                            " 'extrem impress item bought warehous outlet minor imperfect tell even one work great come packag seal damag miss anyth like sound qualiti see knock not bose great famili easi use minor learn curv learn voic integr seamlessli amazon servic wait get classroom lot fun even speaker let alon plan',\n",
-                            " 'love echo show bedroom wonder music info sleep sound',\n",
-                            " 'awesom life changer serious abl start morn alexa wake alarm play music gotten use voic anoth room listen say love echo hesit get one price speaker unbeliev buy cordless holder take echo anywher love purchas love alexa',\n",
-                            " 'not super impress alexa prime laps play anyth smart enough differenti among spotifi account use either randomli speak nobodi talk today unplug not sure ever use alexa',\n",
-                            " 'like everyth',\n",
-                            " 'like',\n",
-                            " 'never issu buy use electron long get good like new read comment see use',\n",
-                            " 'famili realli love new echo',\n",
-                            " 'bought wife love',\n",
-                            " 'fun got today pod go car use hous',\n",
-                            " 'like',\n",
-                            " 'third echo worth everi penni like household employe small flat rate keep bedroom live room drop use intercom listen music answer quick question alarm wake school etc',\n",
-                            " 'listen music set timer',\n",
-                            " 'receiv echo perfect condit devic easi set respond quickli without issu alexa great addit famili',\n",
-                            " 'good sound like music schedul like get random thought record think joke cute',\n",
-                            " 'purchas begin learn far pleas amaz differ action perform enjoy look forward learn option provid',\n",
-                            " 'echo great other even though smaller',\n",
-                            " 'funni buy someth look fun wind total use part home love',\n",
-                            " 'bought replac dot live room speaker slightli better hear better tv unfortun understand respond request well dot frequent request time get want dot usual exactli want first request consid upgrad',\n",
-                            " 'good experi far second gener echo mani thing learn not time yet right mostli enjoy music weather updat use alarm featur person also purchas mini smart socket ye excit begin use',\n",
-                            " 'troubl connect tv not exactli tech smart sure one grandson figur far use mostli music',\n",
-                            " 'simpli love echo hardli watch tv anymor busi listen music speaker pretti goo size fun skill realli make echo fun whole famili',\n",
-                            " 'enjoy entir echo experi',\n",
-                            " 'easi set',\n",
-                            " 'echo amaz devic mani time seem intuit time ask someth seem clear simpl get result instal fairli straightforward mess sever time simpli thought step complet actual made lose ground figur advic patient app let know move next step biggest issu moment sever echo devic home would like use intercom told done howev make echo awar other exist ask alexa answer instruct chang name know like fault would think design would anticip make easier find need instruct small deal mani devic savvi peopl challeng',\n",
-                            " 'love much',\n",
-                            " 'origin alexa tap far nd gener best happi see make improv new one would great updat littl think would help lot bug happi play music throughout whole hous adjust bass trebl thank',\n",
-                            " 'pleas echo nd gener nice alexa avail music weather news probabl lot discov',\n",
-                            " 'pleasantli surpris sound qualiti echo big fan deep bass might not suffici though potenti control home option explor evolv home smart home voic recognit impress stylish fun regret purchas great technic chang peopl ask play song movi respond instantli elderli love one would great gift connect wifi simpl use want unlimit music control sure amazon prime premium spotifi blown away person dj even convers echo not embarrass say echo made laugh coupl time ask tell joke tell packag sinc amazon prime addict come extrem handi',\n",
-                            " 'easi setup love thing',\n",
-                            " 'alexa throughout hous futur arriv',\n",
-                            " 'alreadi alexa amazon find today could not resist get echo also best thing ever use side hous happier',\n",
-                            " 'arriv expect',\n",
-                            " 'bought week ago everyth product excel forget buy charger order must take outsid pool not worri hire electrician put outlet yard',\n",
-                            " 'terrif',\n",
-                            " 'love echo',\n",
-                            " 'smaller origin look nicer',\n",
-                            " 'work great',\n",
-                            " 'husband would call late adopt come technolog decid would tri echo serv primarili music sourc wow amaz great sound also great time listen favorit song buy ask alexa may even buy one elderli dad think enjoy one listen music even place call us',\n",
-                            " 'realli enjoy chang directv channel play iheartradio pandora adjust ac thermostat turn live room light outsid light',\n",
-                            " 'want one bought prime day absolut love',\n",
-                            " 'glad got echo bluetooth speaker alexa much stuff non smart speaker person love timer featur help cook multipl thing simultan pandora integr anoth featur use daili happi prime day purchas get echo hub echo dot futur',\n",
-                            " 'see subject line love',\n",
-                            " 'love',\n",
-                            " 'easi setup',\n",
-                            " 'hesit buy echo echo dot seem good enough echo except sound qualiti realli feel need howev glad got differ sound realli far superior echo dot listen greatest showman littl power',\n",
-                            " 'sound qualiti great still learn differ thing fun',\n",
-                            " 'got good deal work great prime setup bit pain fault crappi internet servic work great nice sound small speaker',\n",
-                            " 'love',\n",
-                            " 'work great perfect offic',\n",
-                            " 'love one insid hous one pool good bose speaker around hous',\n",
-                            " 'easi use amaz',\n",
-                            " 'nice product',\n",
-                            " 'love echo total amaz speaker qualiti bum buy two sinc got prime day',\n",
-                            " 'respons great sound qualiti size',\n",
-                            " 'effici amaz cool use often everi day',\n",
-                            " 'impress qualiti sound echo definit compar bose mini gave star use appl music account',\n",
-                            " 'technolog small devic price good sound amaz must featur home',\n",
-                            " 'mainli use music learn time realli noth bad say',\n",
-                            " 'replac st gen concern smaller unit not sound wrong anyth volum clear good product',\n",
-                            " 'great addit echo plu',\n",
-                            " 'best',\n",
-                            " 'love featur play music everi room multipl echo',\n",
-                            " 'love alexa surpris much use',\n",
-                            " 'use product enjoy love',\n",
-                            " 'easi use great sound great purchas great price',\n",
-                            " 'easi set issu',\n",
-                            " 'unit add much pleasur echo plu music inform home one room',\n",
-                            " 'extrem use simpl thing like spotifi audibl thing like sometim answer everyth ask still nice use',\n",
-                            " 'difficult set keep time enter password',\n",
-                            " 'get use use echo use shop list listen music timer work great far',\n",
-                            " 'cool lot fun use week still learn capabl',\n",
-                            " 'love love',\n",
-                            " 'love hard time set app',\n",
-                            " 'use offic anoth apart music inform',\n",
-                            " 'great music littl hard figur work',\n",
-                            " 'given year time birthday gift dad love ask alexa anyth answer plu good homework purchas one prime day bathroom get readi work listen music base metro boom replac clock radio plu echo dot night stand alarm clock',\n",
-                            " 'impress look clariti sound color',\n",
-                            " 'alexa amaz great speaker',\n",
-                            " 'still get use alexa connect tv yet thing right use music inform great',\n",
-                            " 'work sound great hous bare sf sit kitchen counter hear speak room lot function still discov',\n",
-                            " 'pure fun echo weather joke news brief music still much use lot fun money',\n",
-                            " 'use time especi commun kid throughout home',\n",
-                            " 'love still learn make lot thing easier like forget turn light anoth room ask alexa turn light',\n",
-                            " 'bought daughter turn love especi like call featur sinc cell phone love play music danc amazon music play favorit song sometim lol',\n",
-                            " 'got wed gift discov featur yet updat play music great though',\n",
-                            " 'impress sound qualiti',\n",
-                            " 'pleas purchas echo smart speaker love fact play music differ genr whenev want troubl first wi fi work',\n",
-                            " 'wife enjoy eas play music game fun entertain look forward ad smart product home',\n",
-                            " 'second echo love help kitchen set timer listen news prepar groceri list get great music',\n",
-                            " 'sound qualiti good wish alexa could answer question',\n",
-                            " 'second echo dot speaker weak purchas listen music speaker great',\n",
-                            " 'great sound',\n",
-                            " 'great',\n",
-                            " 'realli use speaker stream music month kinda useless',\n",
-                            " 'set user friendli set user friendli hope alexa app abl download pc without instal invas driver wife retir abl instal alexa son suppli smart phone use alexa yet',\n",
-                            " 'easi set realli enjoy',\n",
-                            " 'echo come built batteri plug time use make quit inconveni',\n",
-                            " 'compact bit better origin',\n",
-                            " 'love pretti cool',\n",
-                            " 'live room music sound realli good live room hear upstair',\n",
-                            " 'great product set easi sound wonder',\n",
-                            " 'far like bought music though sound pretti good',\n",
-                            " 'love',\n",
-                            " 'love',\n",
-                            " 'glad bought',\n",
-                            " 'like type fun music',\n",
-                            " 'like volum top turn quickli',\n",
-                            " 'beyond capabl program grandkid lve',\n",
-                            " 'love new echo give hour music help thing difficult set help tekki',\n",
-                            " 'almost good bose love whole hous music',\n",
-                            " 'alexa hardli came',\n",
-                            " 'easi setup use app also easi instal phone sound qualiti listen music pandora wonder',\n",
-                            " 'still learn use echo far love',\n",
-                            " 'work awesom',\n",
-                            " 'work great',\n",
-                            " 'small speaker sound great',\n",
-                            " 'great sound size prize cours alexa',\n",
-                            " 'echo definit need one',\n",
-                            " 'great devic seem work better st gener',\n",
-                            " 'item longer work month use not connect wifi unrespons reset request',\n",
-                            " 'love echo dot easi fun get drop grandaught live mile away sound like right next',\n",
-                            " 'work great differ new one',\n",
-                            " 'one go kitchen timer music duti',\n",
-                            " 'love volum could definit use boost better built speaker would definit star thought ahead put audio auxiliari input bought dedic speaker echo prove best way go',\n",
-                            " 'work fine',\n",
-                            " 'work great look brand new love new echo dot get main room hous',\n",
-                            " 'refurbish item work like new love easi set love issu volum listen relax fine expect anyth els recommend purchas speaker',\n",
-                            " 'not loud',\n",
-                            " 'nd one love',\n",
-                            " 'not sure feel echo dot mani thing need get use ask right question understand',\n",
-                            " 'thing bare work select rd parti app stuff think could box send mine back asap wast money',\n",
-                            " 'gift man like plug pictur not show cord would prefer cordless still work though purpos bought',\n",
-                            " 'th amazon echo devic purchas refurbish satisfi time differ tell brand new price cheaper echo wake us keep timer play music us act encyclopedia turn light much',\n",
-                            " 'small echo dot amaz sound come great chang nest thermostat phillip hue light without leav chair',\n",
-                            " 'talk time song dislik devic',\n",
-                            " 'never disappoint amazon technolog',\n",
-                            " 'work promis',\n",
-                            " 'return echo dot get refund return one packag want refund packag not see',\n",
-                            " 'not work',\n",
-                            " 'weird paus speech pattern not present echo devic',\n",
-                            " 'sure love alexa lol thank great price product',\n",
-                            " 'work',\n",
-                            " 'echo fan one not work',\n",
-                            " '',\n",
-                            " 'bought bathroom listen shower love',\n",
-                            " 'alway respond spoken promp word thought would connect echo upstair use like intercom abl',\n",
-                            " 'fast ship work well',\n",
-                            " 'love',\n",
-                            " 'love love love new free assist',\n",
-                            " 'six word alexa tell poop joke',\n",
-                            " 'work month stop tri everyth tri make work noth work want refund',\n",
-                            " 'poor qualiti gave away',\n",
-                            " 'refurbish way go echo work like new',\n",
-                            " 'love',\n",
-                            " 'five need say',\n",
-                            " 'speaker arent loud alexa great though besid naw',\n",
-                            " 'work great sound good',\n",
-                            " 'never could get work techi friend look said adapt strong enough power look like bought dollar store go replac adapt hope work',\n",
-                            " 'almost like star trek home fun tri outsmart',\n",
-                            " 'add echo system refurbish product work like new',\n",
-                            " 'great offic use daili mani way includ spell background music',\n",
-                            " 'awesom love alexa',\n",
-                            " 'sure realli want one extrem use get one love',\n",
-                            " 'initi echo dot work well time dot stop respond alexa unless within one foot yell echo echo dot room would respond without respons echo dot would not recommend buy refurbish',\n",
-                            " 'great product fast ship',\n",
-                            " 'bought echo dot refurbish stop whatev function perform quit often wake everi time randomli turn noth not buy refurbish echo dot',\n",
-                            " 'perfect work great problem refurbish',\n",
-                            " 'dont trust',\n",
-                            " 'perfect condit love echo',\n",
-                            " 'love beauti experi especi hook smart light accessori',\n",
-                            " 'got within last coupl week tell issu son want alexa th birthday could tell joke could ask question listen music enjoy one much bought second one week prime deal day',\n",
-                            " 'divertido',\n",
-                            " 'great product work great',\n",
-                            " 'bought guest room radio alarm clock inform center much',\n",
-                            " 'great buy bought go echo love speaker best music work great kitchen timer alarm',\n",
-                            " '',\n",
-                            " 'work perfect save buck buy refurbish look brand new',\n",
-                            " 'look work perfect glad got good deal',\n",
-                            " 'good new one bought less',\n",
-                            " 'love work well',\n",
-                            " 'everyth perfect',\n",
-                            " 'good price prompt ship work flawlessli',\n",
-                            " 'love alexa',\n",
-                            " 'room improv price cannot complain much still complain howev audio terribl kind like listen speak n spell',\n",
-                            " 'iov bought son want awesom',\n",
-                            " 'echo work price great deal issu dot speaker bit tinni good second unit like attach extern speaker sound good buy',\n",
-                            " 'thank',\n",
-                            " 'want use radio intercom get terribl fm recept live speech recognit softwar horribl wife nativ american whose languag english north texa neither accent birth area yet not good job understand us bought two thing addit wifi recept poor margin buy wifi rang extend offic ten feet router problem switch around differ disconnect dust collector',\n",
-                            " 'third dot work perfectli use one multipl time day absolut love',\n",
-                            " 'item never work box broken spent sever day tri get work run fix amazon thing accomplish never order anoth refurbish devic',\n",
-                            " 'alreadi echo plu bought one bedroom love function',\n",
-                            " 'simpl set music everywher',\n",
-                            " 'work like brand new dot satisfi',\n",
-                            " 'great product return new alexa dot refurbish alreadi give problem connect',\n",
-                            " 'echo alreadi went one refurbish save buck work great love new gener one rubber bottom nice',\n",
-                            " 'love fact unplug take basement want laundri',\n",
-                            " 'refurbish good new one bought',\n",
-                            " 'good new',\n",
-                            " 'granddaught love',\n",
-                            " 'price great troubl hear across room move anoth spot seem work fine buy want everi room',\n",
-                            " 'set alexa blue tooth speaker enjoy listen music outdoor wait tri new stuff use alexa',\n",
-                            " 'thank',\n",
-                            " 'work great',\n",
-                            " 'never buy certifi refurbish echo dot bought certifi refurbish echo dot unit poor receiv command sometim not even acknowledg command never buy refurbish echo dot unit receiv probabl never certifi refurbish indic also bought new echo dot work perfectli disappoint',\n",
-                            " 'start amazon productsand regret noth absolut great journey product continu improv day day life',\n",
-                            " 'use sever month without problem',\n",
-                            " 'first smart devic sure buy devic compat one',\n",
-                            " 'love',\n",
-                            " 'love good new one',\n",
-                            " 'larger echo time love bought one anoth portion hous sinc sever wifi home devic want voic control hous',\n",
-                            " 'love product use turn light answer quick question',\n",
-                            " 'great buy',\n",
-                            " 'leari refurbish work great',\n",
-                            " 'puni sound work great',\n",
-                            " 'great',\n",
-                            " 'exactli like new tell differ new dot got prior one work perfectli love alexa',\n",
-                            " 'work perfect wear tear devic love alexa work make home smart',\n",
-                            " 'work good',\n",
-                            " 'thing like shut work great',\n",
-                            " 'excel product mint condit refurbish unit would never know refurbish',\n",
-                            " 'alreadi own coupl echo frustrat also use intercom final amazon enabl drop featur use echo reach famili remot part hous teenag insist never heard yell come dinner featur mainli use echo standard stuff play music set alarm answer question etc not life chang home devic amazon would believ conveni around refurb save buck look work brand new one',\n",
-                            " 'love worri refurbish part first first echo awesom use everyth light sinc work night shop well spotifi plan get parent help everyday thing take grant young would recommend everyon',\n",
-                            " 'love alexa hope everi room soon',\n",
-                            " 'simplic use set',\n",
-                            " 'great got one gazebo one upstair',\n",
-                            " 'work great never issu',\n",
-                            " 'everyth ask',\n",
-                            " 'work great good sound',\n",
-                            " 'use echo listen music well sort research tool answer varieti question would like volum could go littl bit louder complain also believ intern power sourc order use echo must plug time use univers charg cord would nice use echo dot go without buy product',\n",
-                            " 'love great fun',\n",
-                            " 'love',\n",
-                            " 'outstand use time work like say',\n",
-                            " 'save alway nice son alway say buy refurbish mean get new devic product less run diagnost everyth correct',\n",
-                            " 'work perfectli alexa turn light tv roomba',\n",
-                            " 'never would know refurbish',\n",
-                            " 'far good',\n",
-                            " 'look perform new complaint',\n",
-                            " 'goe great echo',\n",
-                            " 'work great like new one alreadi',\n",
-                            " 'item not work certifi refurbish mean work advertis instead item crash soon turn plug tri connect phone echo dot crash not would disconnect orang light would freez thing would reboot blue light alexa would tell readi connect freez mid sentenc tri hold action button second anyth return immedi hope actual fix item next buyer purchas',\n",
-                            " 'fast servic got order thank',\n",
-                            " 'love even though still tri figur thing item work great phone',\n",
-                            " 'none',\n",
-                            " 'echo one bought brand new refurbish one honestli tell differ perform look',\n",
-                            " 'great product learn work thing awesom',\n",
-                            " 'work',\n",
-                            " 'not work time',\n",
-                            " 'love though wish portabl',\n",
-                            " 'cours',\n",
-                            " 'could not tell refurbish work excel would highli recommend instead purchas new',\n",
-                            " 'got mom love',\n",
-                            " 'love echo dot look brand new work perfect satisfi',\n",
-                            " 'new',\n",
-                            " 'small problem box rep amazon call walk reset process solv issu shock get respons quickli real effort made includ follow email get thing work one googl clone use learn like also plan instal one car boat garag alexa new best friend lol think gf worri alexa learn cook time limit',\n",
-                            " 'love alexa dot play game son ask weather love work amazon fire tv',\n",
-                            " 'like could ask differ question differ thing work intermitt smart tv ask chang volum sometim ask chang channel sometim reset know refurbish okay not expect',\n",
-                            " 'far certifi refurbish echo dot work well littl confus green ring echo dot not know ask alexa said receiv call drop not case took minut figur notif deliveri amazon believ ring suppos yellow pulsat messag notif refurbish echo dot green puls',\n",
-                            " 'arriv quickli easi set refurbish amazon echo dot beyond expect alexa becom buddi great assist',\n",
-                            " 'work advertis speak clearli research command also get wall holder keep way set breez make sure close devic initi connect phone reason made set easier though could psycholog haha',\n",
-                            " 'love two echo dot third one order give gift defect speaker return process still done alreadi taken week',\n",
-                            " 'alreadi return',\n",
-                            " 'refurbish echo wonder purchas mother love abil contact without phone listen music weather ask question wonder gift work excel problem',\n",
-                            " 'work good howev price went week purchas',\n",
-                            " 'work amazingli bought daughter love',\n",
-                            " 'love alexa great help make appoint play song like els look forward',\n",
-                            " 'got bathroom love listen music whe shower',\n",
-                            " 'dot origin new one work perfectli buy futur dot recondit',\n",
-                            " 'littl hard get pare other problem',\n",
-                            " 'weari pick convers not activ use heard happen news concern wish amazon would releas someth widespread push firmwar prevent not heard yet',\n",
-                            " 'realli dislik alexa dot thought cortna cool alexa awesom applic famili unbeliev devic seem aliv must get',\n",
-                            " 'happi refurbish echo dot two week far work perfectli even though not come origin box look like new happi purchas',\n",
-                            " 'thumb',\n",
-                            " 'workreat',\n",
-                            " 'someth wrong first one even rep spoke could fix replac regist someon els price dot went price refurbish one bought brand spank new one problem new one',\n",
-                            " 'work expect',\n",
-                            " 'problem',\n",
-                            " 'almost everi room realli enjoy work perfectli',\n",
-                            " 'purchas grandson',\n",
-                            " 'like new',\n",
-                            " 'happi order',\n",
-                            " 'love dot especi abil talk one realli conveni issu refurbish like new',\n",
-                            " 'start take use sinc unplug day one talk daughter lay bed next start go movi moana complet scare sh daughter',\n",
-                            " 'work great speaker sound fine overal would recommend',\n",
-                            " 'great like new',\n",
-                            " 'love price essenti brand new dot open realli tell refurbish everyth look brand new less new unit consid better deal realli love versatil echo dot get one',\n",
-                            " 'pleas order want',\n",
-                            " 'think throughout hous conveni set timer check weather whatev wherev',\n",
-                            " 'love best experi refurbish devic excel',\n",
-                            " 'love echo dot',\n",
-                            " 'refurbish item fine awar fee echo set room howev miss cordthank',\n",
-                            " 'two week set longer work connect light sound guess purchas refurbish dot',\n",
-                            " 'work like brandnew unit great addit collect',\n",
-                            " 'great price work perfectli save money refurb would buy',\n",
-                            " '',\n",
-                            " 'god',\n",
-                            " 'not good',\n",
-                            " 'great bought one bought anoth right away grab smart switch set smart home capabl highli recommend',\n",
-                            " 'like new',\n",
-                            " 'work still need figur link devic though set sono pretti easi not product fault not time figur',\n",
-                            " 'use',\n",
-                            " 'worst amazon purchas made big amazon fan love brand unlimit digit music prime video even buy onlin game music movi amazon app tri use make simpl purchas anyth useless',\n",
-                            " 'work well microphon pick well full size echo audio qualiti okay size',\n",
-                            " 'bought two refurbish one work home work perfectli appear brand new',\n",
-                            " 'amazon disappoint',\n",
-                            " 'work great bt receiv output connect vintag stereo equip',\n",
-                            " 'work great far tell not new edit longev year real test',\n",
-                            " 'amaz',\n",
-                            " 'love everyth',\n",
-                            " 'use dot work fine compliment echo',\n",
-                            " 'work like new one tell differ new one bough refurbish one',\n",
-                            " 'well big fan echo one went bathroom work great expect',\n",
-                            " 'purchas year old mother love talk alexa respons detect name room',\n",
-                            " 'like new perform brand new one problem',\n",
-                            " 'echo dot disconnect speaker time day not buy refurbish product star effort',\n",
-                            " 'love great product',\n",
-                            " 'work good satisfi',\n",
-                            " 'love alexa sound dot not best echo nd gen kitchen live room got bedroom signific differ sound dot lack full base sound sound come cheap portabl speaker realli disappoint return right away shell money buy second echo bedroom also',\n",
-                            " 'took awhil get connect not electron savi love',\n",
-                            " 'cant seem get thing sink wireless not sure return tri one time',\n",
-                            " 'absolut love',\n",
-                            " 'product stop work return time ran',\n",
-                            " 'second dot work great refurbishedthought new',\n",
-                            " 'love guy work great',\n",
-                            " 'love second alexa bedroom great check weather medit music timer perfect husband use eye drop multipl time day keep eye close minut',\n",
-                            " 'purchas refurbish work like brand new minut set easi echo dot command start play music backyard deck sound system',\n",
-                            " 'not substitut origin echo dot perform well sound qualiti poor listen highest level',\n",
-                            " 'love echo dot help husband get netflix app amazon fire tv problem refurbish plan get anoth one amazon fire stick bedroom',\n",
-                            " 'stop work month warranti good month would assum amazon product sold amazon would higher standard guarante would work whole month mean product suppos piec junk offer discount want buy anoth one would want buy anoth one',\n",
-                            " 'like new problem whatsoev alexa thank',\n",
-                            " 'like uncl sometim goe littl haywir',\n",
-                            " 'bought son work return',\n",
-                            " 'bought quit connect wifi respond voic within month hard soft reset not fix problem',\n",
-                            " 'receiv echo dot today good condit advis paid amazon write rais price research buy get good deal set dot went simpl enough plug follow app instruct except initi took actual show iphon wifi set call amazon custom servic dunno late get terribl support guy took call rambl complet unhelp script end set dot middl spiel not sure norm refurbish dot pretti finicki wifi rang randomli disconnect even though app show rang ghz connect strong reconnect pain time well said alexa work work amazingli well speaker hook one thing realli enjoy mic rang sensit one annoy limit appl siri play audio devic speaker music podcast etc hey siri featur useless alexa problem hear whatev play time amazingli fast respons tri louder speaker yet not sure continu hold true set alexa control wireless devic breez albeit limit support arlo devic nil special set led devic eg rainbow effect alexa handl know chang solid color bright level rate would lower not gotten decent price item connect problem persist may exchang return item want though alexa kind grow',\n",
-                            " 'bought everyon say much love need use volum not loud enough play music treadmil rather use tower speaker xs louder',\n",
-                            " 'work like new',\n",
-                            " 'second one refurbish model work least not home',\n",
-                            " 'bad devic know refurbish activ nobodi talk activ start talk talk yell super laud',\n",
-                            " 'good new like brand new save money get one',\n",
-                            " 'ad room conveni',\n",
-                            " 'nice work good time not easi recogn voic repeat sever time time almost scream',\n",
-                            " 'took chanc certifi refurbish unit look brand new excus disappoint minut troubl free set effortless bluetooth speaker connect alexa app iphon flawless listen favorit tune bose bluetooth setup happier walk door ask alexa play music viola instant atmospher open ipad go set turn bluetooth access pandora app make thing effortless true joy right box discov use fine piec technolog worth everi penni',\n",
-                            " 'alexa sister second dot',\n",
-                            " 'love alexa echo dot two one new one refurbish work great becom go sooo mani thing love alarm everi morn whenev love play music sound ocean natur sound tri sleep love mani thing',\n",
-                            " 'bought refurb work new one bought prior came origin packag well',\n",
-                            " 'love like second wife',\n",
-                            " 'far not impress not save group correctli not understand time not sure excit alexa voic sound like water suppos understand go return tri googl home',\n",
-                            " 'work well obviou issu refurbish',\n",
-                            " 'work great tell refurbish set kid mode home ad love thing',\n",
-                            " 'great product useless overal mani unnecessari featur unless smart home need',\n",
-                            " 'work good two new echo dot precious purchas',\n",
-                            " 'bought mother love love guard dog featur say give sens secur night leav hous',\n",
-                            " 'bought mainli speaker play music video phone not work read instruct not work',\n",
-                            " 'work',\n",
-                            " 'bought two work great not much electron run home alexa want need done',\n",
-                            " 'nd one come',\n",
-                            " 'blue light blink time',\n",
-                            " 'fun use still learn new trick use function futur human comput interfac household autom like star trek knew would soon',\n",
-                            " 'work great control tv light variou devic late use wake know time want open eye shout alexa time could figur get hous hold chore walk dog golden sound not great size expect echo plu much better audio get larger expens echo',\n",
-                            " 'work great',\n",
-                            " 'sure like product littl want one everi room daughter constantli ask alexa spell word bare tap thing product capabl look forward learn capabl',\n",
-                            " '',\n",
-                            " 'great product work well',\n",
-                            " 'absolutli love',\n",
-                            " 'bought first echo dot love got work absolut love',\n",
-                            " 'work promis',\n",
-                            " 'work great exist smart home setup',\n",
-                            " 'perfect could not tell differ new one',\n",
-                            " 'cant figur use',\n",
-                            " 'good sometim hear well',\n",
-                            " 'littl apprehens buy refurbish electron product amazon guarante thought would tri glad probabl buy anoth refurb product form amazon love alexa product sever one sit desk small footprint great sound use daili work great',\n",
-                            " 'not bad bad speaker sound',\n",
-                            " 'great devic mainli use verbal add thing shop list occasion use number fun thing program like go red alert make tardi land ye hous geek even chose wake word comput instead alexa need majel barret voic geek heaven not easi get premium spotifi work properli still not sure get multipl music account attach listen differ music differ room far still worth often ask time weather even give us news brief also use intercom system realli awesom plu fun know nsa listen everyth',\n",
-                            " 'love',\n",
-                            " 'purchas daughter love amaz love game',\n",
-                            " 'alway work',\n",
-                            " 'good new perfectli packag zero issu dot',\n",
-                            " 'love bought granddaught play music ask question entertain hour good buy honest opinion',\n",
-                            " 'issu work look great',\n",
-                            " 'fun toy daughter read',\n",
-                            " 'refurbish echo dot receiv new condit new packag complaint neat littl gadget drive wife nut',\n",
-                            " 'receiv echo gift love much decid get dot bedroom easi set big differ sound qualiti would still buy',\n",
-                            " 'work advertis thank',\n",
-                            " 'new amazon product great everyth bought refurbish complet garbag never purchas amazon refurbish total dissatisfact',\n",
-                            " 'work good microphon not good better echo product',\n",
-                            " 'took littl work set final got sound qualiti not best got work great check weather ask cook question kitchen play radio want music probabl upgrad echo plu better sound',\n",
-                            " 'love alexa best thing ever bought know ever live thing amaz happi product wish would use googl',\n",
-                            " 'love work great',\n",
-                            " 'extrem low volum',\n",
-                            " 'troubl get program download phone end use comput interest answer come wikipedia howev give echo dot music play depart heard song music total forgotten mainstream station also amus alexa respond know think yard cotton fabric refer footbal play paid full price gadget would sore disappoint seem reason step hal',\n",
-                            " 'brought replac one move rang previou non refurbish unit would seldom abl find wi fi connect got tire hear messag troubl connect check alexa app unplug went troubleshoot reconnect sever time not strong',\n",
-                            " 'want listen music come sever echo dot unit simultan must pay monthli fee thought amazon not appl paid mani could one room not enough money',\n",
-                            " 'purchas gift',\n",
-                            " 'love',\n",
-                            " 'overal good devic bought workout room issu reach volum heard standard row machin could use much better speaker',\n",
-                            " 'work great simpl set alexa way accur imagin im use thought wish alarm could set bit that complaint not listen say wake word worri lose conspiraci theori speaker great hold get one turn gen like',\n",
-                            " 'voic clariti made eavesdrop effort much easier govern',\n",
-                            " 'work perfect',\n",
-                            " 'littl troubl begin replac old router work good except current temperatur time alexa much degre like degre alexa would say degre otherwis everyth work expect enjoy listen music amazon pandora station request favorit song record artist',\n",
-                            " 'bought three three work flawlessli label refurbish known',\n",
-                            " 'devic work perfectli good price love alexa great fun music great get radio station need morn traffic report think would enjoy ai hous fun educ entertain even peopl tech savvi',\n",
-                            " 'eh work half time not respond say wake name work fine',\n",
-                            " 'great littl thing work better siri',\n",
-                            " 'amaz love',\n",
-                            " 'bought son love',\n",
-                            " 'first second gener echo dot think prefer volum ring first gen better button second gen still job great price got still definit recommend',\n",
-                            " 'fun use morn brief',\n",
-                            " 'arriv time work amaz',\n",
-                            " 'like new set quick easi',\n",
-                            " 'like new good refurbish',\n",
-                            " 'love',\n",
-                            " 'love echo dot',\n",
-                            " 'like know music type least wireless volum not high',\n",
-                            " 'great product',\n",
-                            " 'work great reason leav star wont play unless plug whole time pretti irrit especi outlet avail',\n",
-                            " 'work great',\n",
-                            " 'love ita like person assist comput everyth els one',\n",
-                            " 'problem item could inexperi order wrong thing decid set use alexa tri replac small bluetooth speaker bedroom thought could learn go download app never could get echo sync iphon decid give one kid probabl enjoy use intend',\n",
-                            " 'es perfecto',\n",
-                            " 'work good far',\n",
-                            " 'work great daughter love',\n",
-                            " 'work great',\n",
-                            " 'love',\n",
-                            " 'want white dot white bathroom top black shown knew not realiz cord plug also black want white cord plug',\n",
-                            " '',\n",
-                            " 'work great',\n",
-                            " 'amaz',\n",
-                            " 'great product',\n",
-                            " 'work perfectli',\n",
-                            " 'perfect',\n",
-                            " 'set echo dot work hour die complet not buy refurbish sent back return day receiv',\n",
-                            " 'echo dot horribl volum phone louder devic boss one not case',\n",
-                            " 'overal work well connect issu definit worth money',\n",
-                            " 'issu refurbish unit perform expect would buy anoth one need',\n",
-                            " 'great mom insid owlhead jacuzzi',\n",
-                            " 'work great put son room use drop option get attent game watch tv',\n",
-                            " 'perfect',\n",
-                            " 'look brand nrw noth complain defent order',\n",
-                            " 'ok speaker pretti terribl googl home better product',\n",
-                            " 'love',\n",
-                            " 'love answer stupid question tell weather get couch',\n",
-                            " 'first one quit work shortli got next one becom unrespons voic time way get work app not sure dot way',\n",
-                            " 'bought go niec room tell refurbish look good work like new',\n",
-                            " 'devic not work follow instruct alexa echo dot not come upset',\n",
-                            " 'sent back due crackl nois turn expect refurbish item',\n",
-                            " 'best price could find use around answer question handi not find phone also intercom system',\n",
-                            " 'never satisfi product perfect introduct alexa',\n",
-                            " 'work well speaker not grand get anoth speaker drop futur would gone full size echo',\n",
-                            " 'love echo thing full size version sound better though',\n",
-                            " 'work great',\n",
-                            " 'need life plan time date music',\n",
-                            " 'seem troubl hear say wake word despit train voic wonder someth buy refurbish googl home mini problem hear us much louder',\n",
-                            " 'love work perfectli',\n",
-                            " 'brand new echo dot thought refurbish would good quit differ expect refurbish unit not even turn realiz power adapt faulti way amazon send power adapt accord return option love amazon buy even toilet paper truli let updat amazon contact credit enough buy new power adapt shop amazon alway trust deliv product',\n",
-                            " 'bought famili member gift call see like said love',\n",
-                            " 'not loud qualiti eas use great sound perfect background music would suggest connect togeth tri use host louder parti',\n",
-                            " 'look brand new work great love echo dot refurbish one like new',\n",
-                            " 'nd one use time',\n",
-                            " 'work like new one l anoth alexa devic lm fanat',\n",
-                            " 'echo good',\n",
-                            " 'work great',\n",
-                            " 'great price extend rang super valu dot offer hook wireless speaker use work outsid dot made outdoor sound rang possibl without disturb indoor light control possibl',\n",
-                            " 'amazingli fun daughter ask question first day set daili alarm weekend remind playlist morn show random song daili bibl vers weather morn commut tell way go dodg traffic get one link phone yet',\n",
-                            " 'work perfect differ refurb one new one hous buy refurb',\n",
-                            " 'great product wake everi morn time',\n",
-                            " 'like new differ new unus origin',\n",
-                            " 'complaint far know exactli like new littl cheaper great',\n",
-                            " 'perfect condit',\n",
-                            " 'like new',\n",
-                            " 'work well new version got discount echo speaker decid purchas version amazon state warranti',\n",
-                            " 'receiv echo gift need anoth bluetooth someth play music easili access found smart speaker wait see els',\n",
-                            " 'without cellphon cannot use mani featur ipad not see use great alarm u r almost deaf hear alarm bedroom live room reason enough keep fun ask random question hear respons not seem smartbon polit yet',\n",
-                            " 'think th one purchas work get one everi room hous realli like featur offer specifili play music echo control light throughout hous',\n",
-                            " 'look great',\n",
-                            " 'love listen song heard sinc childhood get news weather inform great',\n",
-                            " 'sent year old dad talk constantli',\n",
-                            " 'love learn knew thing eveyday still figur everyth work far easi use understand make laugh time',\n",
-                            " 'purchas mother knee problem give someth tri come not get around fast like enjoy littl big thing alexa play song time cook',\n",
-                            " 'love love love',\n",
-                            " 'expect',\n",
-                            " 'love wife hate',\n",
-                            " 'realli happi purchas great speaker easi set',\n",
-                            " 'use alexa coupl day lot fun new toy like new household member tri learn differ featu benefit come',\n",
-                            " 'love size nd gener echo still need littl improv sound',\n",
-                            " 'like origin echo shorter greater fabric color choic miss volum ring top plu minu button not big deal ring w comfort well like use standard usb charger port instead previou round pin guess sound seem work still answer alexa echo comput not like',\n",
-                            " 'love echo good music sound play alexa understand command difficult time find specif playlist song spotifi good amazon music lack major program',\n",
-                            " 'love alexa use play music play radio itun play podcast anypod set remind listen flash brief news weather everi morn reli custom list like abl voic control volum sure continu find new use sometim bit frustrat alexa understand say',\n",
-                            " 'set day still ad smart home devic speaker great play music like size station kitchen counter not intrus look',\n",
-                            " 'love play sleep sound immedi ask',\n",
-                            " 'got second unit bedroom expect sound improv didnt realli see differ overal not big improv st gener',\n",
-                            " 'amaz product',\n",
-                            " 'love echo easi oper load fun everyth advertis use mainli play favorit tune test alexa knowledg',\n",
-                            " 'sound great love',\n",
-                            " 'fun item play get use use sometim hard time answer question ask think better',\n",
-                            " 'like one',\n",
-                            " 'still learn capabl far pretti pretti pretti good',\n",
-                            " 'like',\n",
-                            " 'work well need learn command uniqu owner user like alexa learn tasha birthday alexa learn definit fine etc great',\n",
-                            " 'speaker sound pretti good small setup pretti easi bought two reason rate follow instruct synch music unit know done correctli sync primari motiv purchas multipl unit',\n",
-                            " 'devic awesom',\n",
-                            " 'bought compar speaker qualiti first gener speaker like sound better ship daughter though like fact first gener chargeabl base bought keep mobil need better sound',\n",
-                            " 'love echo still learn thing abl follow instruct includ packag found great one u tube',\n",
-                            " 'speaker better st gener echo',\n",
-                            " 'thing way cool get one want cool',\n",
-                            " 'first digit assist give good review speaker realli good cheap price prime day fun play use alarm clock go get first place end echo go one definit tri like best number devic connect purchas came smart plug connect lamp alexa turn light',\n",
-                            " 'husband like abl use listen music wish knew capabl',\n",
-                            " 'android would not allow alexa connect fortun sister appl cell hour tech support fix glitch run',\n",
-                            " 'far good',\n",
-                            " 'tri play certain broadway show like camelot give ne group camelot',\n",
-                            " 'great',\n",
-                            " 'satisfi echo alexa control light famili room wife listen jimmi buffet ask alexa',\n",
-                            " 'like siri fact siri answer accur alexa see real need household though good bargain prime day deal',\n",
-                            " 'love echo still learn everi thing work ton fun',\n",
-                            " 'love much',\n",
-                            " 'differ appl play specif list music must amazon spotifi plu prime etc account must pay play music star reason everyth els',\n",
-                            " 'excelent lo unico es que esta en espa ol',\n",
-                            " 'still learn use far echo great sound actual much better expect',\n",
-                            " 'work expect also good sound qualiti consid price sale featur',\n",
-                            " 'sound echo nd gener phenomen not mention love alexa help',\n",
-                            " 'like googl better',\n",
-                            " 'let play learn get',\n",
-                            " 'work advertis easi setup still learn',\n",
-                            " 'great sound easi set',\n",
-                            " 'love alexa bought other friend',\n",
-                            " 'love echo purchas compani husband alexa great say name tell joke play favorit song',\n",
-                            " '',\n",
-                            " 'love abl listen music easili still learn featur avail',\n",
-                            " 'realli know could use devic use thing need overview',\n",
-                            " 'love wish built hub',\n",
-                            " 'use primarili play music work wonder still get use mani thing amazon sent sever tip sinc got thank help',\n",
-                            " 'easi set',\n",
-                            " 'fast respons amaz clear concis answer sound qualiti fantast still get use alexia not usd echo full extent',\n",
-                            " 'need na na nana',\n",
-                            " 'everyth expect',\n",
-                            " 'love echo work like said would smart home cannot speak function everyth els good',\n",
-                            " 'great sound small packag easi set use fun',\n",
-                            " 'work sound great',\n",
-                            " 'sound amaz mani collect music',\n",
-                            " 'set',\n",
-                            " 'alway listen',\n",
-                            " 'awesom',\n",
-                            " 'bought control fio televis work well hope time control fio discov thing alexa play music ask great sound alexa play game play radio station play old time radio program like long ranger alexa mani app add abil day play madlib great fun also alexa control household applianc purchas alexa compat power strip control light fan tv compon look forward implement control also add alexa compon chosen music play room compon locat',\n",
-                            " 'speaker excel sound work perfectli',\n",
-                            " 'like',\n",
-                            " 'love everyth',\n",
-                            " 'littl nervou receiv new echo not realli tech savvi found bit intimid first take long figur happi purchas think ad echo spot',\n",
-                            " 'like still learn use',\n",
-                            " 'great technolog believ speaker volum qualiti wonder wish bought anoth one',\n",
-                            " 'purchas echo dot husband father day use constantli hear qualiti sound echo nd gener brainer best gift ever',\n",
-                            " 'work fine',\n",
-                            " '',\n",
-                            " 'clear music',\n",
-                            " 'fun use good sound qualiti',\n",
-                            " 'echo work well abl sync amazon music devic',\n",
-                            " 'work great think amazon charg anoth cent unlimit music prime buy echo',\n",
-                            " 'alreadi echo dot echo even better fuller sound also setup let phone call made contact list great',\n",
-                            " 'speaker sound realli good',\n",
-                            " 'good sound work well',\n",
-                            " 'love alexa not savvi support help patient',\n",
-                            " 'love think get one prime day discount offer could not pass fun ask alexa play song group come playlist amazon prime music also connect iphon bluetooth play music pandora youtub video use alexa speaker fun ask alexa differ type question inform like weather news even time countri downsid limit data wifi plan alexa use burn play music',\n",
-                            " 'like far lot tri yet',\n",
-                            " 'love use strictli music great',\n",
-                            " 'love echo love size materi speaker qualiti hook one light easili work addit light thermostat next echo dot bedroom lot echo think traffic weather trivia etc',\n",
-                            " 'love',\n",
-                            " 'entir famili love alexa echo part famili',\n",
-                            " 'great fun get know function product wow famili fun homework help talk grandchildren also echo huge bonu wait learn',\n",
-                            " 'love',\n",
-                            " 'awesom thing love alexa',\n",
-                            " 'work exactli expect speaker great sound perfect classroom',\n",
-                            " 'love love new littl gadget made live much easier like person secretari live home hardli need cd anymor sinc alexa play everyth need go get alexa dot soon room thank',\n",
-                            " 'speaker surpris qualiti happi purchas',\n",
-                            " 'easi set work wonder love',\n",
-                            " 'realli impress sound qualiti play music devic bass sound almost like come bigger speaker prop amazon',\n",
-                            " 'still great product sound qualiti seem wors get wrong definit get use within hour definit feel like echo gen sound qualiti better besid great addit abl play bluetooth wifi even better',\n",
-                            " 'outlet not work disappoint',\n",
-                            " 'great devic respons help',\n",
-                            " 'sound terribl u want good music get bose',\n",
-                            " 'like sound troubl paid extra money access million song sometim work ex alexa play italian song understand play opera tosca respons sorri',\n",
-                            " 'easi set use bad plug would nice take outsid oper batteri recharg',\n",
-                            " 'still learn way use real hit grandkid ask play music danc yr cute',\n",
-                            " 'star gener like product great ask like play music set timer make call reason rate sometim connect die echo stop play music show red ring seem connect issu overal great product',\n",
-                            " 'work great upgrad echo dot full size echo happier',\n",
-                            " 'alexa els say',\n",
-                            " 'upgrad lilttl echo dot happi sound',\n",
-                            " 'excel product set eas well',\n",
-                            " 'first gen echo sinc first came work well purchas nd gen prime day far happi seem improv speaker provid enhanc sound music',\n",
-                            " 'love echo smart speaker love volum clariti easi set wonder gift age',\n",
-                            " 'wonder product fast deliveri',\n",
-                            " 'initi harder set call tech knowledg work great',\n",
-                            " 'easi set famili love',\n",
-                            " 'great sound respons voic command',\n",
-                            " 'live long without echo get enjoy music style ask alexa go gread wireless love echo love alexa',\n",
-                            " 'cool product speaker sound good spotifi blast',\n",
-                            " 'much fun alexa love abl listen music across room busi someth els',\n",
-                            " 'far seem nice item pick voic understand without problem day ask turn music next room heard fine use listen music check weather done thing well',\n",
-                            " 'love echo',\n",
-                            " 'love help use rememb thing sleep ask anyth week still learn',\n",
-                            " 'better st gen everi way except one realli miss ring top volum control quicker easier grab top twist without look button find one press time also wish bass bit better great devic happi',\n",
-                            " 'love alexa',\n",
-                            " 'far like',\n",
-                            " 'thoroughli enjoy ecoo love read audiobook offic simpli open audiobook kindl continu elsewher wonder listen music not mood book great set remind much',\n",
-                            " 'still love',\n",
-                            " 'love',\n",
-                            " 'love sound qualiti unit clear sound',\n",
-                            " 'listen talk radio morn turn light etc system excel job full hous sound system stream siriu',\n",
-                            " 'week still learn alexa learn process love music call time listen podcast radio station start keep shop list groceri list love search paper pencil get time temperatur great not wait weather report sound good not fussi woofer tweeter base etc echo fine afternoon go tri drop son get home go surpris',\n",
-                            " 'not much featur',\n",
-                            " 'great sound qualiti great featur great product multi room music cool',\n",
-                            " 'cool',\n",
-                            " 'everyon echo two three bought echo qvc',\n",
-                            " 'annoy everyth show alexa abl download spend much time tri figur phrase machin may well look',\n",
-                            " 'alexa sinc begin accident spill water replac nd gener decid without echo setup easi work within minut',\n",
-                            " 'like abl tell alexia music want hear sometim troubl find song not specif titl',\n",
-                            " 'like look better origin echo move old echo basement famili room nice sound',\n",
-                            " 'echo wonder still learn use music request somewhat limit',\n",
-                            " 'know half thing ask recogn sprinkler wifi control even though product detail say compat program chang wifi thermostat set match wifi router handi music player amazon music',\n",
-                            " 'love',\n",
-                            " 'awesom understand kid',\n",
-                            " 'pleasantli surpris sound qualiti mani featur nice easili hear particular artist hear book simpl command look forward explor option devic',\n",
-                            " 'met exceed expect easi set realli quick respons',\n",
-                            " 'like fact get kind music prime want request alexa like inform photo littl pamphlet wish includ connect tv etc command alexa realli love music',\n",
-                            " 'not found way access echo thorough prime account think part top line video music etc also think setup app defin exampl music like not well integr echo tri ask playlist echo not sure even though set play list set also not like fact word exact match playlist name never rememb like readi natur echo respond queri',\n",
-                            " 'great item ad audibl book make even better thank',\n",
-                            " 'prime day nd gen echo sale resist begin smart home set happier say alexa done amaz job connect smart devic thank control light smart plug tv etc troubl connect echo wifi phone app work perfectli fine let add skill routin smart devic timer much sound qualiti good enough sinc not audiophil alexa hear voic even watch movi high volum design great modern definit add nice touch home chang cover like sale overal great addit home enabl mani possibl yet sure add alexa home',\n",
-                            " 'versatil fun',\n",
-                            " 'work great killer speaker wife son love',\n",
-                            " 'regret wait long purchas item surpris pleas sound qualiti',\n",
-                            " 'stop work week follow command realli fun work',\n",
-                            " 'far love work get thing set love groceri list app',\n",
-                            " 'perform pretti much expect disappoint not provid terminolog need play variou kind music without subscrib amazon music servic understand music choic may limit without know ask cannot access music provid free along echo purchas chart show languag need use',\n",
-                            " 'easi set',\n",
-                            " 'like product except speaker not high qualiti expect',\n",
-                            " 'great invest alexa help made laugh',\n",
-                            " 'yet anoth exho home love',\n",
-                            " 'love plan gender music big band jazz not easi find local radio sound good stop voic command get phone call',\n",
-                            " 'good valu',\n",
-                            " 'super easi set love new echo',\n",
-                            " 'what not like speaker ask alexa',\n",
-                            " 'best father day gift dad joke mom alexa one listen repeat stori go forward',\n",
-                            " 'great addit breakfast room kitchen tune inform instantli avail slowli learn featur',\n",
-                            " 'sound qualiti',\n",
-                            " 'sad joke worthless',\n",
-                            " 'entertain',\n",
-                            " 'good qualiti',\n",
-                            " 'work great sound great not miss beat wish batteri better portabl',\n",
-                            " 'love till someon stole afford replac yet go',\n",
-                            " 'alexa rock',\n",
-                            " 'got gift love never would bought one allow play music amozon prime music worth also give new brief tell joke',\n",
-                            " '',\n",
-                            " 'mom bought echo dot repeat ask take one great told two day made take hour later could not live life without amaz four larg speaker small echo dot return say go order alexa speaker go big get echo otherwis tou return two echo dot live without',\n",
-                            " 'love great product',\n",
-                            " 'easi set user friendli',\n",
-                            " 'realli disappoint alexa plug wall socket time fault not check made assumpt compani technolog advanc amazon would sell product recharg batteri could return would appl music boom speaker give flexibl alexa',\n",
-                            " 'think nd gen sound good st aux could add extern speaker go get dot nd issu uniqu unit understand overrid default prevent play blue tooth speaker play group get delay use bt speaker unit not heard abl play group use bt speaker',\n",
-                            " 'everyth',\n",
-                            " 'like interact ask question like ask setup schedul connect lamp',\n",
-                            " 'supberb sound definit worth extra money listen lot music',\n",
-                            " 'realli love amazon echo think sound qualiti great lot fun realli handi music get updat weather sport',\n",
-                            " 'love grandkid',\n",
-                            " 'far work well not alway intuit link differ devic skill get hang',\n",
-                            " 'work advertis',\n",
-                            " 'love',\n",
-                            " 'love new addit hous speaker qualiti great love alexa two not complaint suggest futur seri would better commun abil exampl smart light hous unless specifi kitchen light kitchen light prior command either respond say recogn may want alexa respond say thank afterward repeat alexa thank time respond husband know sound odd laugh mayb southern thing want alexa manner',\n",
-                            " 'like everyth music trivia game weather',\n",
-                            " 'describ receiv time not like automat enrol music',\n",
-                            " 'great devic',\n",
-                            " 'own echo overa year new lack easi way increas decreas volum without tell increas decreas volum hard wife sinc english second languag born korea sound echo superb keep',\n",
-                            " 'love kitchen work well',\n",
-                            " 'nice impress wish say though',\n",
-                            " 'love product nice easi access much info',\n",
-                            " 'got great sound bass work time still hot miss recogn thing',\n",
-                            " 'still discov echo',\n",
-                            " 'amaz paroduct',\n",
-                            " 'good hear rang sound qualiti bit complic set quit understand lot even speak slowli clearli love flash brief featur interfac abod home secur system',\n",
-                            " 'speaker sound good',\n",
-                            " 'absolut love',\n",
-                            " 'best part product control thermostat light hous anyth dislik',\n",
-                            " 'thoroughli enjoy amazon echo instal easi use alexa app purchas kasa smart plug control live room light instal easi use kasa app sinqu right echo enjoy play music echo sound qualiti awesom ad kasa smart bulb kitchen setup seamless look forward ad autom home',\n",
-                            " 'home entertain',\n",
-                            " 'cool product easi setup fun use sound qualiti much better anticip',\n",
-                            " 'love great sound easi connect use',\n",
-                            " 'work fairli new smart tv mainli tv manufactur lg fault due not support anyth older tv year smart lock also need addit piec equip order connect well speaker sound great work well',\n",
-                            " 'great sound littl speaker',\n",
-                            " 'enjoy',\n",
-                            " '',\n",
-                            " 'cool',\n",
-                            " 'good qualiti great sound qualiti',\n",
-                            " 'work perfectli',\n",
-                            " 'great product sometim alexa not understand command fire tv fabul speaker',\n",
-                            " 'love echo great sound smart',\n",
-                            " 'sure love',\n",
-                            " 'play great',\n",
-                            " 'work absolut great',\n",
-                            " 'amaz product great sound qualiti',\n",
-                            " 'best thing invest thank much',\n",
-                            " 'extrem impress item bought warehous outlet minor imperfect tell even one work great come packag seal damag miss anyth like sound qualiti see knock not bose great famili easi use minor learn curv learn voic integr seamlessli amazon servic wait get classroom lot fun even speaker let alon plan',\n",
-                            " 'love echo show bedroom wonder music info sleep sound',\n",
-                            " 'awesom life changer serious abl start morn alexa wake alarm play music gotten use voic anoth room listen say love echo hesit get one price speaker unbeliev buy cordless holder take echo anywher love purchas love alexa',\n",
-                            " 'not super impress alexa prime laps play anyth smart enough differenti among spotifi account use either randomli speak nobodi talk today unplug not sure ever use alexa',\n",
-                            " 'like everyth',\n",
-                            " 'like',\n",
-                            " 'never issu buy use electron long get good like new read comment see use',\n",
-                            " 'famili realli love new echo',\n",
-                            " 'bought wife love',\n",
-                            " 'fun got today pod go car use hous',\n",
-                            " 'like',\n",
-                            " 'third echo worth everi penni like household employe small flat rate keep bedroom live room drop use intercom listen music answer quick question alarm wake school etc',\n",
-                            " 'listen music set timer',\n",
-                            " 'receiv echo perfect condit devic easi set respond quickli without issu alexa great addit famili',\n",
-                            " 'good sound like music schedul like get random thought record think joke cute',\n",
-                            " 'purchas begin learn far pleas amaz differ action perform enjoy look forward learn option provid',\n",
-                            " 'echo great other even though smaller',\n",
-                            " 'funni buy someth look fun wind total use part home love',\n",
-                            " 'bought replac dot live room speaker slightli better hear better tv unfortun understand respond request well dot frequent request time get want dot usual exactli want first request consid upgrad',\n",
-                            " 'good experi far second gener echo mani thing learn not time yet right mostli enjoy music weather updat use alarm featur person also purchas mini smart socket ye excit begin use',\n",
-                            " 'troubl connect tv not exactli tech smart sure one grandson figur far use mostli music',\n",
-                            " 'simpli love echo hardli watch tv anymor busi listen music speaker pretti goo size fun skill realli make echo fun whole famili',\n",
-                            " 'enjoy entir echo experi',\n",
-                            " 'easi set',\n",
-                            " 'echo amaz devic mani time seem intuit time ask someth seem clear simpl get result instal fairli straightforward mess sever time simpli thought step complet actual made lose ground figur advic patient app let know move next step biggest issu moment sever echo devic home would like use intercom told done howev make echo awar other exist ask alexa answer instruct chang name know like fault would think design would anticip make easier find need instruct small deal mani devic savvi peopl challeng',\n",
-                            " 'love much',\n",
-                            " 'origin alexa tap far nd gener best happi see make improv new one would great updat littl think would help lot bug happi play music throughout whole hous adjust bass trebl thank',\n",
-                            " 'pleas echo nd gener nice alexa avail music weather news probabl lot discov',\n",
-                            " 'pleasantli surpris sound qualiti echo big fan deep bass might not suffici though potenti control home option explor evolv home smart home voic recognit impress stylish fun regret purchas great technic chang peopl ask play song movi respond instantli elderli love one would great gift connect wifi simpl use want unlimit music control sure amazon prime premium spotifi blown away person dj even convers echo not embarrass say echo made laugh coupl time ask tell joke tell packag sinc amazon prime addict come extrem handi',\n",
-                            " 'easi setup love thing',\n",
-                            " 'alexa throughout hous futur arriv',\n",
-                            " 'alreadi alexa amazon find today could not resist get echo also best thing ever use side hous happier',\n",
-                            " 'arriv expect',\n",
-                            " 'bought week ago everyth product excel forget buy charger order must take outsid pool not worri hire electrician put outlet yard',\n",
-                            " 'terrif',\n",
-                            " 'love echo',\n",
-                            " 'smaller origin look nicer',\n",
-                            " 'work great',\n",
-                            " 'husband would call late adopt come technolog decid would tri echo serv primarili music sourc wow amaz great sound also great time listen favorit song buy ask alexa may even buy one elderli dad think enjoy one listen music even place call us',\n",
-                            " 'realli enjoy chang directv channel play iheartradio pandora adjust ac thermostat turn live room light outsid light',\n",
-                            " 'want one bought prime day absolut love',\n",
-                            " 'glad got echo bluetooth speaker alexa much stuff non smart speaker person love timer featur help cook multipl thing simultan pandora integr anoth featur use daili happi prime day purchas get echo hub echo dot futur',\n",
-                            " 'see subject line love',\n",
-                            " 'love',\n",
-                            " 'easi setup',\n",
-                            " 'hesit buy echo echo dot seem good enough echo except sound qualiti realli feel need howev glad got differ sound realli far superior echo dot listen greatest showman littl power',\n",
-                            " 'sound qualiti great still learn differ thing fun',\n",
-                            " 'got good deal work great prime setup bit pain fault crappi internet servic work great nice sound small speaker',\n",
-                            " 'love',\n",
-                            " 'work great perfect offic',\n",
-                            " 'love one insid hous one pool good bose speaker around hous',\n",
-                            " 'easi use amaz',\n",
-                            " 'nice product',\n",
-                            " 'love echo total amaz speaker qualiti bum buy two sinc got prime day',\n",
-                            " 'respons great sound qualiti size',\n",
-                            " 'effici amaz cool use often everi day',\n",
-                            " 'impress qualiti sound echo definit compar bose mini gave star use appl music account',\n",
-                            " 'technolog small devic price good sound amaz must featur home',\n",
-                            " 'mainli use music learn time realli noth bad say',\n",
-                            " 'replac st gen concern smaller unit not sound wrong anyth volum clear good product',\n",
-                            " 'great addit echo plu',\n",
-                            " 'best',\n",
-                            " 'love featur play music everi room multipl echo',\n",
-                            " 'love alexa surpris much use',\n",
-                            " 'use product enjoy love',\n",
-                            " 'easi use great sound great purchas great price',\n",
-                            " 'easi set issu',\n",
-                            " 'unit add much pleasur echo plu music inform home one room',\n",
-                            " 'extrem use simpl thing like spotifi audibl thing like sometim answer everyth ask still nice use',\n",
-                            " 'difficult set keep time enter password',\n",
-                            " 'get use use echo use shop list listen music timer work great far',\n",
-                            " 'cool lot fun use week still learn capabl',\n",
-                            " 'love love',\n",
-                            " 'love hard time set app',\n",
-                            " 'use offic anoth apart music inform',\n",
-                            " ...]"
-                        ]
-                    },
-                    "execution_count": 91,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                }
-            ],
-            "source": [
-                "corpus"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 92,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "counter = CountVectorizer(max_features = 2500)\n",
-                "X = counter.fit_transform(corpus).toarray()\n",
-                "y = alexa.iloc[:, 4].values"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 93,
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "text/plain": [
-                            "['abay',\n",
-                            " 'abc',\n",
-                            " 'abd',\n",
-                            " 'abil',\n",
-                            " 'abl',\n",
-                            " 'abod',\n",
-                            " 'absolut',\n",
-                            " 'absolutli',\n",
-                            " 'ac',\n",
-                            " 'accent',\n",
-                            " 'accept',\n",
-                            " 'access',\n",
-                            " 'accessori',\n",
-                            " 'accesss',\n",
-                            " 'accid',\n",
-                            " 'accident',\n",
-                            " 'accompani',\n",
-                            " 'accomplish',\n",
-                            " 'accord',\n",
-                            " 'accordingli',\n",
-                            " 'account',\n",
-                            " 'accur',\n",
-                            " 'accuraci',\n",
-                            " 'accustom',\n",
-                            " 'acknowledg',\n",
-                            " 'acoust',\n",
-                            " 'across',\n",
-                            " 'act',\n",
-                            " 'action',\n",
-                            " 'activ',\n",
-                            " 'actual',\n",
-                            " 'ad',\n",
-                            " 'adapt',\n",
-                            " 'add',\n",
-                            " 'addict',\n",
-                            " 'addit',\n",
-                            " 'addon',\n",
-                            " 'address',\n",
-                            " 'adept',\n",
-                            " 'adequ',\n",
-                            " 'adjac',\n",
-                            " 'adjust',\n",
-                            " 'admit',\n",
-                            " 'adopt',\n",
-                            " 'ador',\n",
-                            " 'adult',\n",
-                            " 'advanc',\n",
-                            " 'advantag',\n",
-                            " 'advertis',\n",
-                            " 'advic',\n",
-                            " 'advis',\n",
-                            " 'aesthet',\n",
-                            " 'af',\n",
-                            " 'affirm',\n",
-                            " 'afford',\n",
-                            " 'afraid',\n",
-                            " 'afternoon',\n",
-                            " 'afterward',\n",
-                            " 'age',\n",
-                            " 'agent',\n",
-                            " 'ago',\n",
-                            " 'agre',\n",
-                            " 'agreement',\n",
-                            " 'ahead',\n",
-                            " 'ai',\n",
-                            " 'aid',\n",
-                            " 'aint',\n",
-                            " 'air',\n",
-                            " 'aka',\n",
-                            " 'al',\n",
-                            " 'alabama',\n",
-                            " 'alarm',\n",
-                            " 'albeit',\n",
-                            " 'alcohol',\n",
-                            " 'alert',\n",
-                            " 'alex',\n",
-                            " 'alexa',\n",
-                            " 'alexi',\n",
-                            " 'alexia',\n",
-                            " 'alexu',\n",
-                            " 'algo',\n",
-                            " 'aliv',\n",
-                            " 'allevi',\n",
-                            " 'allow',\n",
-                            " 'allrecip',\n",
-                            " 'almost',\n",
-                            " 'alon',\n",
-                            " 'along',\n",
-                            " 'alongsid',\n",
-                            " 'alot',\n",
-                            " 'aloud',\n",
-                            " 'alread',\n",
-                            " 'alreadi',\n",
-                            " 'alright',\n",
-                            " 'also',\n",
-                            " 'alter',\n",
-                            " 'altern',\n",
-                            " 'although',\n",
-                            " 'alway',\n",
-                            " 'amaonmaz',\n",
-                            " 'amax',\n",
-                            " 'amaz',\n",
-                            " 'amazin',\n",
-                            " 'amazingli',\n",
-                            " 'amazon',\n",
-                            " 'amazonia',\n",
-                            " 'ambient',\n",
-                            " 'american',\n",
-                            " 'among',\n",
-                            " 'amount',\n",
-                            " 'amozon',\n",
-                            " 'amplifi',\n",
-                            " 'amus',\n",
-                            " 'analog',\n",
-                            " 'and',\n",
-                            " 'android',\n",
-                            " 'angl',\n",
-                            " 'annoy',\n",
-                            " 'anoth',\n",
-                            " 'answer',\n",
-                            " 'ant',\n",
-                            " 'anti',\n",
-                            " 'anticip',\n",
-                            " 'anybodi',\n",
-                            " 'anyhow',\n",
-                            " 'anylist',\n",
-                            " 'anymor',\n",
-                            " 'anyon',\n",
-                            " 'anypod',\n",
-                            " 'anyth',\n",
-                            " 'anytim',\n",
-                            " 'anyway',\n",
-                            " 'anywher',\n",
-                            " 'apart',\n",
-                            " 'app',\n",
-                            " 'appar',\n",
-                            " 'appeal',\n",
-                            " 'appear',\n",
-                            " 'appl',\n",
-                            " 'applianc',\n",
-                            " 'applic',\n",
-                            " 'appoint',\n",
-                            " 'appreci',\n",
-                            " 'apprehens',\n",
-                            " 'approach',\n",
-                            " 'appropri',\n",
-                            " 'approxim',\n",
-                            " 'area',\n",
-                            " 'arent',\n",
-                            " 'argu',\n",
-                            " 'argument',\n",
-                            " 'aris',\n",
-                            " 'arlo',\n",
-                            " 'arm',\n",
-                            " 'around',\n",
-                            " 'array',\n",
-                            " 'arriv',\n",
-                            " 'articl',\n",
-                            " 'artist',\n",
-                            " 'asap',\n",
-                            " 'ase',\n",
-                            " 'ask',\n",
-                            " 'asleep',\n",
-                            " 'aspect',\n",
-                            " 'ass',\n",
-                            " 'assign',\n",
-                            " 'assist',\n",
-                            " 'assum',\n",
-                            " 'assumpt',\n",
-                            " 'atenc',\n",
-                            " 'atmospher',\n",
-                            " 'atr',\n",
-                            " 'attach',\n",
-                            " 'attempt',\n",
-                            " 'attent',\n",
-                            " 'attract',\n",
-                            " 'audibl',\n",
-                            " 'audio',\n",
-                            " 'audioappl',\n",
-                            " 'audiobook',\n",
-                            " 'audiophil',\n",
-                            " 'august',\n",
-                            " 'aunt',\n",
-                            " 'auto',\n",
-                            " 'autom',\n",
-                            " 'automat',\n",
-                            " 'aux',\n",
-                            " 'auxiliari',\n",
-                            " 'av',\n",
-                            " 'avail',\n",
-                            " 'avoid',\n",
-                            " 'aw',\n",
-                            " 'awak',\n",
-                            " 'awar',\n",
-                            " 'away',\n",
-                            " 'awesom',\n",
-                            " 'awhil',\n",
-                            " 'awkward',\n",
-                            " 'awsom',\n",
-                            " 'babi',\n",
-                            " 'back',\n",
-                            " 'background',\n",
-                            " 'backyard',\n",
-                            " 'bad',\n",
-                            " 'baffl',\n",
-                            " 'ball',\n",
-                            " 'ban',\n",
-                            " 'band',\n",
-                            " 'bandwagon',\n",
-                            " 'bandwidth',\n",
-                            " 'bang',\n",
-                            " 'bar',\n",
-                            " 'bare',\n",
-                            " 'bargain',\n",
-                            " 'bark',\n",
-                            " 'barn',\n",
-                            " 'barret',\n",
-                            " 'barri',\n",
-                            " 'base',\n",
-                            " 'basebal',\n",
-                            " 'basement',\n",
-                            " 'basic',\n",
-                            " 'bass',\n",
-                            " 'bathroom',\n",
-                            " 'batman',\n",
-                            " 'batteri',\n",
-                            " 'bc',\n",
-                            " 'beam',\n",
-                            " 'beat',\n",
-                            " 'beauti',\n",
-                            " 'becam',\n",
-                            " 'becauss',\n",
-                            " 'becom',\n",
-                            " 'bed',\n",
-                            " 'bedroom',\n",
-                            " 'bedsid',\n",
-                            " 'bedtim',\n",
-                            " 'beefi',\n",
-                            " 'begin',\n",
-                            " 'beginn',\n",
-                            " 'begun',\n",
-                            " 'behav',\n",
-                            " 'behind',\n",
-                            " 'believ',\n",
-                            " 'bell',\n",
-                            " 'belong',\n",
-                            " 'benefit',\n",
-                            " 'besid',\n",
-                            " 'best',\n",
-                            " 'bet',\n",
-                            " 'beta',\n",
-                            " 'better',\n",
-                            " 'bettter',\n",
-                            " 'beyond',\n",
-                            " 'bezel',\n",
-                            " 'bezo',\n",
-                            " 'bf',\n",
-                            " 'bff',\n",
-                            " 'bibl',\n",
-                            " 'big',\n",
-                            " 'bigger',\n",
-                            " 'biggest',\n",
-                            " 'bill',\n",
-                            " 'billboard',\n",
-                            " 'bing',\n",
-                            " 'birth',\n",
-                            " 'birthday',\n",
-                            " 'bit',\n",
-                            " 'bizarr',\n",
-                            " 'black',\n",
-                            " 'blanket',\n",
-                            " 'blast',\n",
-                            " 'bless',\n",
-                            " 'blind',\n",
-                            " 'blink',\n",
-                            " 'block',\n",
-                            " 'blood',\n",
-                            " 'bloomberg',\n",
-                            " 'blow',\n",
-                            " 'blown',\n",
-                            " 'blue',\n",
-                            " 'blueprint',\n",
-                            " 'bluetooth',\n",
-                            " 'blur',\n",
-                            " 'board',\n",
-                            " 'boat',\n",
-                            " 'bob',\n",
-                            " 'bodi',\n",
-                            " 'bolt',\n",
-                            " 'bonker',\n",
-                            " 'bonu',\n",
-                            " 'book',\n",
-                            " 'boom',\n",
-                            " 'boombox',\n",
-                            " 'boost',\n",
-                            " 'bore',\n",
-                            " 'born',\n",
-                            " 'bose',\n",
-                            " 'boss',\n",
-                            " 'bot',\n",
-                            " 'bother',\n",
-                            " 'bothersom',\n",
-                            " 'bottom',\n",
-                            " 'bough',\n",
-                            " 'bought',\n",
-                            " 'box',\n",
-                            " 'boyfriend',\n",
-                            " 'brainer',\n",
-                            " 'brand',\n",
-                            " 'brandnew',\n",
-                            " 'bread',\n",
-                            " 'break',\n",
-                            " 'breakfast',\n",
-                            " 'breez',\n",
-                            " 'bridg',\n",
-                            " 'brief',\n",
-                            " 'bright',\n",
-                            " 'bring',\n",
-                            " 'british',\n",
-                            " 'broadway',\n",
-                            " 'broke',\n",
-                            " 'broken',\n",
-                            " 'brought',\n",
-                            " 'bt',\n",
-                            " 'buck',\n",
-                            " 'buddi',\n",
-                            " 'budget',\n",
-                            " 'buffer',\n",
-                            " 'buffet',\n",
-                            " 'bug',\n",
-                            " 'build',\n",
-                            " 'built',\n",
-                            " 'bulb',\n",
-                            " 'buld',\n",
-                            " 'bulki',\n",
-                            " 'bum',\n",
-                            " 'bunch',\n",
-                            " 'bundl',\n",
-                            " 'burn',\n",
-                            " 'busi',\n",
-                            " 'but',\n",
-                            " 'button',\n",
-                            " 'buy',\n",
-                            " 'buyer',\n",
-                            " 'buzz',\n",
-                            " 'bye',\n",
-                            " 'cabl',\n",
-                            " 'calendar',\n",
-                            " 'call',\n",
-                            " 'calm',\n",
-                            " 'calmer',\n",
-                            " 'cam',\n",
-                            " 'cambiar',\n",
-                            " 'came',\n",
-                            " 'camelot',\n",
-                            " 'camera',\n",
-                            " 'campu',\n",
-                            " 'canari',\n",
-                            " 'cancel',\n",
-                            " 'cannot',\n",
-                            " 'cant',\n",
-                            " 'capabl',\n",
-                            " 'capac',\n",
-                            " 'capas',\n",
-                            " 'car',\n",
-                            " 'card',\n",
-                            " 'cardsrot',\n",
-                            " 'care',\n",
-                            " 'careless',\n",
-                            " 'carolina',\n",
-                            " 'carri',\n",
-                            " 'carrier',\n",
-                            " 'cart',\n",
-                            " 'cartoon',\n",
-                            " 'case',\n",
-                            " 'cat',\n",
-                            " 'catch',\n",
-                            " 'categori',\n",
-                            " 'caus',\n",
-                            " 'cave',\n",
-                            " 'cb',\n",
-                            " 'cd',\n",
-                            " 'ceas',\n",
-                            " 'ceil',\n",
-                            " 'celeb',\n",
-                            " 'cell',\n",
-                            " 'cellphon',\n",
-                            " 'cent',\n",
-                            " 'center',\n",
-                            " 'certain',\n",
-                            " 'certainli',\n",
-                            " 'certifi',\n",
-                            " 'chachki',\n",
-                            " 'chair',\n",
-                            " 'chalk',\n",
-                            " 'challeng',\n",
-                            " 'champ',\n",
-                            " 'chanc',\n",
-                            " 'chang',\n",
-                            " 'changer',\n",
-                            " 'channel',\n",
-                            " 'characterist',\n",
-                            " 'charg',\n",
-                            " 'chargeabl',\n",
-                            " 'charger',\n",
-                            " 'charlott',\n",
-                            " 'charm',\n",
-                            " 'chart',\n",
-                            " 'chat',\n",
-                            " 'cheap',\n",
-                            " 'cheaper',\n",
-                            " 'cheapest',\n",
-                            " 'check',\n",
-                            " 'child',\n",
-                            " 'childhood',\n",
-                            " 'children',\n",
-                            " 'chocol',\n",
-                            " 'choic',\n",
-                            " 'choos',\n",
-                            " 'choppi',\n",
-                            " 'chore',\n",
-                            " 'chose',\n",
-                            " 'chosen',\n",
-                            " 'christma',\n",
-                            " 'chromebook',\n",
-                            " 'chromecast',\n",
-                            " 'circl',\n",
-                            " 'citi',\n",
-                            " 'citizen',\n",
-                            " 'clapper',\n",
-                            " 'clariti',\n",
-                            " 'class',\n",
-                            " 'classic',\n",
-                            " 'classroom',\n",
-                            " 'clean',\n",
-                            " 'cleaner',\n",
-                            " 'clear',\n",
-                            " 'clearer',\n",
-                            " 'clearli',\n",
-                            " 'click',\n",
-                            " 'client',\n",
-                            " 'clip',\n",
-                            " 'clock',\n",
-                            " 'clockhom',\n",
-                            " 'clone',\n",
-                            " 'close',\n",
-                            " 'closer',\n",
-                            " 'cloth',\n",
-                            " 'cloud',\n",
-                            " 'clue',\n",
-                            " 'cm',\n",
-                            " 'cnn',\n",
-                            " 'co',\n",
-                            " 'coast',\n",
-                            " 'code',\n",
-                            " 'coffe',\n",
-                            " 'cohes',\n",
-                            " 'collect',\n",
-                            " 'collector',\n",
-                            " 'colleg',\n",
-                            " 'colon',\n",
-                            " 'color',\n",
-                            " 'com',\n",
-                            " 'comand',\n",
-                            " 'combin',\n",
-                            " 'come',\n",
-                            " 'comelet',\n",
-                            " 'comfort',\n",
-                            " 'command',\n",
-                            " 'comment',\n",
-                            " 'commerci',\n",
-                            " 'commod',\n",
-                            " 'common',\n",
-                            " 'commun',\n",
-                            " 'commut',\n",
-                            " 'como',\n",
-                            " 'compac',\n",
-                            " 'compact',\n",
-                            " 'compani',\n",
-                            " 'companion',\n",
-                            " 'compar',\n",
-                            " 'compat',\n",
-                            " 'competit',\n",
-                            " 'complac',\n",
-                            " 'complain',\n",
-                            " 'complaint',\n",
-                            " 'complet',\n",
-                            " 'complic',\n",
-                            " 'compliment',\n",
-                            " 'compon',\n",
-                            " 'compound',\n",
-                            " 'comput',\n",
-                            " 'con',\n",
-                            " 'concept',\n",
-                            " 'concern',\n",
-                            " 'concis',\n",
-                            " 'condit',\n",
-                            " 'conectado',\n",
-                            " 'conferenc',\n",
-                            " 'confid',\n",
-                            " 'configur',\n",
-                            " 'conflict',\n",
-                            " 'confus',\n",
-                            " 'connect',\n",
-                            " 'consciou',\n",
-                            " 'consid',\n",
-                            " 'consist',\n",
-                            " 'conspiraci',\n",
-                            " 'constant',\n",
-                            " 'constantli',\n",
-                            " 'construct',\n",
-                            " 'consult',\n",
-                            " 'consum',\n",
-                            " 'contact',\n",
-                            " 'contain',\n",
-                            " 'content',\n",
-                            " 'contin',\n",
-                            " 'continu',\n",
-                            " 'control',\n",
-                            " 'conveni',\n",
-                            " 'convers',\n",
-                            " 'convert',\n",
-                            " 'convinc',\n",
-                            " 'cook',\n",
-                            " 'cool',\n",
-                            " 'cooler',\n",
-                            " 'coolest',\n",
-                            " 'coop',\n",
-                            " 'coordin',\n",
-                            " 'cord',\n",
-                            " 'cordless',\n",
-                            " 'cordthank',\n",
-                            " 'core',\n",
-                            " 'correct',\n",
-                            " 'correctli',\n",
-                            " 'correspond',\n",
-                            " 'cortna',\n",
-                            " 'cost',\n",
-                            " 'cotton',\n",
-                            " 'couch',\n",
-                            " 'could',\n",
-                            " 'counter',\n",
-                            " 'counti',\n",
-                            " 'countless',\n",
-                            " 'countri',\n",
-                            " 'coupl',\n",
-                            " 'cours',\n",
-                            " 'cousin',\n",
-                            " 'cover',\n",
-                            " 'cozi',\n",
-                            " 'cpr',\n",
-                            " 'cr',\n",
-                            " 'crack',\n",
-                            " 'crackl',\n",
-                            " 'crap',\n",
-                            " 'crappi',\n",
-                            " 'crash',\n",
-                            " 'crazi',\n",
-                            " 'creapi',\n",
-                            " 'creat',\n",
-                            " 'credit',\n",
-                            " 'creepi',\n",
-                            " 'crib',\n",
-                            " 'crisp',\n",
-                            " 'critic',\n",
-                            " 'crop',\n",
-                            " 'cross',\n",
-                            " 'crunchyrol',\n",
-                            " 'csi',\n",
-                            " 'cualquier',\n",
-                            " 'cue',\n",
-                            " 'cula',\n",
-                            " 'cumbersom',\n",
-                            " 'cup',\n",
-                            " 'current',\n",
-                            " 'curs',\n",
-                            " 'curv',\n",
-                            " 'custom',\n",
-                            " 'customiz',\n",
-                            " 'cut',\n",
-                            " 'cute',\n",
-                            " 'cuti',\n",
-                            " 'cycl',\n",
-                            " 'cylind',\n",
-                            " 'cylinderc',\n",
-                            " 'dad',\n",
-                            " 'daili',\n",
-                            " 'damag',\n",
-                            " 'danc',\n",
-                            " 'dare',\n",
-                            " 'dark',\n",
-                            " 'darn',\n",
-                            " 'dash',\n",
-                            " 'data',\n",
-                            " 'date',\n",
-                            " 'daughter',\n",
-                            " 'day',\n",
-                            " 'de',\n",
-                            " 'deactiv',\n",
-                            " 'dead',\n",
-                            " 'deaf',\n",
-                            " 'deal',\n",
-                            " 'debat',\n",
-                            " 'dec',\n",
-                            " 'decent',\n",
-                            " 'decid',\n",
-                            " 'decis',\n",
-                            " 'deck',\n",
-                            " 'decor',\n",
-                            " 'decreas',\n",
-                            " 'dedic',\n",
-                            " 'deep',\n",
-                            " 'deeper',\n",
-                            " 'default',\n",
-                            " 'defeat',\n",
-                            " 'defect',\n",
-                            " 'defenc',\n",
-                            " 'defent',\n",
-                            " 'defin',\n",
-                            " 'definit',\n",
-                            " 'defus',\n",
-                            " 'degre',\n",
-                            " 'del',\n",
-                            " 'delay',\n",
-                            " 'delet',\n",
-                            " 'deliv',\n",
-                            " 'deliveri',\n",
-                            " 'demand',\n",
-                            " 'dementia',\n",
-                            " 'den',\n",
-                            " 'denon',\n",
-                            " 'dens',\n",
-                            " 'dent',\n",
-                            " 'depart',\n",
-                            " 'depend',\n",
-                            " 'deploy',\n",
-                            " 'depreci',\n",
-                            " 'depth',\n",
-                            " 'describ',\n",
-                            " 'descript',\n",
-                            " 'design',\n",
-                            " 'desir',\n",
-                            " 'desk',\n",
-                            " 'desktop',\n",
-                            " 'despit',\n",
-                            " 'detail',\n",
-                            " 'detect',\n",
-                            " 'determin',\n",
-                            " 'develop',\n",
-                            " 'devic',\n",
-                            " 'deviceoveral',\n",
-                            " 'devis',\n",
-                            " 'dhiw',\n",
-                            " 'diagnost',\n",
-                            " 'dial',\n",
-                            " 'dictionari',\n",
-                            " 'didnt',\n",
-                            " 'die',\n",
-                            " 'differ',\n",
-                            " 'differenti',\n",
-                            " 'difficult',\n",
-                            " 'difficulti',\n",
-                            " 'dig',\n",
-                            " 'digit',\n",
-                            " 'digitol',\n",
-                            " 'dim',\n",
-                            " 'dimat',\n",
-                            " 'dimens',\n",
-                            " 'dimmer',\n",
-                            " 'dine',\n",
-                            " 'dinner',\n",
-                            " 'dinosaur',\n",
-                            " 'direct',\n",
-                            " 'directli',\n",
-                            " 'directtv',\n",
-                            " 'directv',\n",
-                            " 'disabl',\n",
-                            " 'disagre',\n",
-                            " 'disappoint',\n",
-                            " 'disarm',\n",
-                            " 'disast',\n",
-                            " 'disconcert',\n",
-                            " 'disconnect',\n",
-                            " 'discount',\n",
-                            " 'discourag',\n",
-                            " 'discov',\n",
-                            " 'discoveredthat',\n",
-                            " 'discoveri',\n",
-                            " 'dish',\n",
-                            " 'dislik',\n",
-                            " 'dismiss',\n",
-                            " 'display',\n",
-                            " 'dispos',\n",
-                            " 'dissatisfact',\n",
-                            " 'distanc',\n",
-                            " 'distort',\n",
-                            " 'distract',\n",
-                            " 'disturb',\n",
-                            " 'ditch',\n",
-                            " 'divers',\n",
-                            " 'divertido',\n",
-                            " 'dj',\n",
-                            " 'dock',\n",
-                            " 'doctor',\n",
-                            " 'document',\n",
-                            " 'dodg',\n",
-                            " 'doesnt',\n",
-                            " 'dog',\n",
-                            " 'dollar',\n",
-                            " 'domain',\n",
-                            " 'done',\n",
-                            " 'dont',\n",
-                            " 'door',\n",
-                            " 'doorbel',\n",
-                            " 'dorm',\n",
-                            " 'dot',\n",
-                            " 'doubt',\n",
-                            " 'downfal',\n",
-                            " 'download',\n",
-                            " 'downright',\n",
-                            " 'downsid',\n",
-                            " 'downstair',\n",
-                            " 'dp',\n",
-                            " 'drag',\n",
-                            " 'draw',\n",
-                            " 'drawback',\n",
-                            " 'dress',\n",
-                            " 'drive',\n",
-                            " 'driven',\n",
-                            " 'driver',\n",
-                            " 'drop',\n",
-                            " 'dryer',\n",
-                            " 'due',\n",
-                            " 'dumb',\n",
-                            " 'dumber',\n",
-                            " 'dunc',\n",
-                            " 'dunno',\n",
-                            " 'dust',\n",
-                            " 'duti',\n",
-                            " 'dylan',\n",
-                            " 'ear',\n",
-                            " 'earli',\n",
-                            " 'earn',\n",
-                            " 'eas',\n",
-                            " 'easi',\n",
-                            " 'easier',\n",
-                            " 'easili',\n",
-                            " 'east',\n",
-                            " 'eavesdrop',\n",
-                            " 'echo',\n",
-                            " 'echoplu',\n",
-                            " 'eco',\n",
-                            " 'ecobe',\n",
-                            " 'ecoo',\n",
-                            " 'ecosystem',\n",
-                            " 'ed',\n",
-                            " 'edg',\n",
-                            " 'edit',\n",
-                            " 'educ',\n",
-                            " 'eeaanh',\n",
-                            " 'effect',\n",
-                            " 'effici',\n",
-                            " 'effort',\n",
-                            " 'effortless',\n",
-                            " 'eg',\n",
-                            " 'eh',\n",
-                            " 'either',\n",
-                            " 'el',\n",
-                            " 'elderli',\n",
-                            " 'electeon',\n",
-                            " 'electr',\n",
-                            " 'electrician',\n",
-                            " 'electron',\n",
-                            " 'eleg',\n",
-                            " 'element',\n",
-                            " 'elimin',\n",
-                            " 'els',\n",
-                            " 'elsewher',\n",
-                            " 'em',\n",
-                            " 'email',\n",
-                            " 'embarrass',\n",
-                            " 'emerg',\n",
-                            " 'emoji',\n",
-                            " 'employe',\n",
-                            " 'en',\n",
-                            " 'enabl',\n",
-                            " 'encyclopedia',\n",
-                            " 'end',\n",
-                            " 'endless',\n",
-                            " 'engag',\n",
-                            " 'engin',\n",
-                            " 'english',\n",
-                            " 'enhanc',\n",
-                            " 'enjoy',\n",
-                            " 'enough',\n",
-                            " 'enrol',\n",
-                            " 'enter',\n",
-                            " 'entertain',\n",
-                            " 'entir',\n",
-                            " 'entri',\n",
-                            " 'eq',\n",
-                            " 'equal',\n",
-                            " 'equip',\n",
-                            " 'equipo',\n",
-                            " 'error',\n",
-                            " 'es',\n",
-                            " 'escencia',\n",
-                            " 'esp',\n",
-                            " 'espa',\n",
-                            " 'espanol',\n",
-                            " 'especi',\n",
-                            " 'essenti',\n",
-                            " 'est',\n",
-                            " 'esta',\n",
-                            " 'estar',\n",
-                            " 'estudio',\n",
-                            " 'etc',\n",
-                            " 'etekc',\n",
-                            " 'ethernet',\n",
-                            " 'evalu',\n",
-                            " 'even',\n",
-                            " 'event',\n",
-                            " 'eventu',\n",
-                            " 'ever',\n",
-                            " 'everi',\n",
-                            " 'everybodi',\n",
-                            " 'everyday',\n",
-                            " 'everyon',\n",
-                            " 'everyth',\n",
-                            " 'everytim',\n",
-                            " 'everywher',\n",
-                            " 'eveyday',\n",
-                            " 'evolv',\n",
-                            " 'evryth',\n",
-                            " 'ex',\n",
-                            " 'exact',\n",
-                            " 'exactli',\n",
-                            " 'exampl',\n",
-                            " 'exasper',\n",
-                            " 'exce',\n",
-                            " 'exceed',\n",
-                            " 'excel',\n",
-                            " 'excelent',\n",
-                            " 'except',\n",
-                            " 'excess',\n",
-                            " 'exchang',\n",
-                            " 'excit',\n",
-                            " 'excus',\n",
-                            " 'exho',\n",
-                            " 'exist',\n",
-                            " 'expand',\n",
-                            " 'expect',\n",
-                            " 'expens',\n",
-                            " 'experi',\n",
-                            " 'experienc',\n",
-                            " 'expert',\n",
-                            " 'expir',\n",
-                            " 'explan',\n",
-                            " 'explicit',\n",
-                            " 'explor',\n",
-                            " 'extend',\n",
-                            " 'extens',\n",
-                            " 'extent',\n",
-                            " 'extern',\n",
-                            " 'extra',\n",
-                            " 'extrem',\n",
-                            " 'extrimelli',\n",
-                            " 'eye',\n",
-                            " 'fabric',\n",
-                            " 'fabul',\n",
-                            " 'face',\n",
-                            " 'facebook',\n",
-                            " 'facetim',\n",
-                            " 'fact',\n",
-                            " 'factor',\n",
-                            " 'factori',\n",
-                            " 'fail',\n",
-                            " 'fair',\n",
-                            " 'fairli',\n",
-                            " 'fall',\n",
-                            " 'fals',\n",
-                            " 'famili',\n",
-                            " 'familiar',\n",
-                            " 'fan',\n",
-                            " 'fanat',\n",
-                            " 'fantast',\n",
-                            " 'far',\n",
-                            " 'farther',\n",
-                            " 'fascin',\n",
-                            " 'fashion',\n",
-                            " 'fast',\n",
-                            " 'faster',\n",
-                            " 'fat',\n",
-                            " 'father',\n",
-                            " 'fault',\n",
-                            " 'faulti',\n",
-                            " 'favorit',\n",
-                            " 'featu',\n",
-                            " 'featur',\n",
-                            " 'fee',\n",
-                            " 'feed',\n",
-                            " 'feedback',\n",
-                            " 'feee',\n",
-                            " 'feel',\n",
-                            " 'feet',\n",
-                            " 'fell',\n",
-                            " 'felt',\n",
-                            " 'fenc',\n",
-                            " 'fi',\n",
-                            " 'fianc',\n",
-                            " 'fidel',\n",
-                            " 'figur',\n",
-                            " 'fill',\n",
-                            " 'final',\n",
-                            " 'find',\n",
-                            " 'fine',\n",
-                            " 'fingertip',\n",
-                            " 'finicki',\n",
-                            " 'finish',\n",
-                            " 'fio',\n",
-                            " 'fire',\n",
-                            " 'firestick',\n",
-                            " 'firmar',\n",
-                            " 'firmwar',\n",
-                            " 'first',\n",
-                            " 'fit',\n",
-                            " 'five',\n",
-                            " 'fix',\n",
-                            " 'fixtur',\n",
-                            " 'flash',\n",
-                            " 'flat',\n",
-                            " 'flaw',\n",
-                            " 'flawless',\n",
-                            " 'flawlessli',\n",
-                            " 'fledg',\n",
-                            " 'flexibl',\n",
-                            " 'flicker',\n",
-                            " 'float',\n",
-                            " 'floor',\n",
-                            " 'fm',\n",
-                            " 'folk',\n",
-                            " 'follow',\n",
-                            " 'font',\n",
-                            " 'foot',\n",
-                            " 'footbal',\n",
-                            " 'footprint',\n",
-                            " 'forc',\n",
-                            " 'forecast',\n",
-                            " 'forev',\n",
-                            " 'forget',\n",
-                            " 'forgot',\n",
-                            " 'forgotten',\n",
-                            " 'forjust',\n",
-                            " 'form',\n",
-                            " 'forth',\n",
-                            " 'fortun',\n",
-                            " 'forum',\n",
-                            " 'forward',\n",
-                            " 'found',\n",
-                            " 'four',\n",
-                            " 'fourth',\n",
-                            " 'free',\n",
-                            " 'freez',\n",
-                            " 'frequent',\n",
-                            " 'fri',\n",
-                            " 'friday',\n",
-                            " 'friend',\n",
-                            " 'friendli',\n",
-                            " 'front',\n",
-                            " 'frustrat',\n",
-                            " 'full',\n",
-                            " 'fuller',\n",
-                            " 'fulli',\n",
-                            " 'fumbl',\n",
-                            " 'fun',\n",
-                            " 'funcion',\n",
-                            " 'funciona',\n",
-                            " 'funcionamiento',\n",
-                            " 'function',\n",
-                            " 'funni',\n",
-                            " 'furthermor',\n",
-                            " 'fuss',\n",
-                            " 'fussi',\n",
-                            " 'futur',\n",
-                            " 'fw',\n",
-                            " 'gadget',\n",
-                            " 'gain',\n",
-                            " 'galaxi',\n",
-                            " 'game',\n",
-                            " 'gameshow',\n",
-                            " 'gap',\n",
-                            " 'garag',\n",
-                            " 'garbag',\n",
-                            " 'gateway',\n",
-                            " 'gather',\n",
-                            " 'gave',\n",
-                            " 'gazebo',\n",
-                            " 'gb',\n",
-                            " 'ge',\n",
-                            " 'gear',\n",
-                            " ...]"
-                        ]
-                    },
-                    "execution_count": 93,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                }
-            ],
-            "source": [
-                "counter.get_feature_names()"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 94,
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "text/plain": [
-                            "127"
-                        ]
-                    },
-                    "execution_count": 94,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                }
-            ],
-            "source": [
-                "sum(sum(X == 4))"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 95,
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "text/html": [
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-                            "<style scoped>\n",
-                            "    .dataframe tbody tr th:only-of-type {\n",
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-                            "  <thead>\n",
-                            "    <tr style=\"text-align: right;\">\n",
-                            "      <th></th>\n",
-                            "      <th>rating</th>\n",
-                            "      <th>date</th>\n",
-                            "      <th>variation</th>\n",
-                            "      <th>verified_reviews</th>\n",
-                            "      <th>feedback</th>\n",
-                            "      <th>length</th>\n",
-                            "    </tr>\n",
-                            "  </thead>\n",
-                            "  <tbody>\n",
-                            "    <tr>\n",
-                            "      <th>46</th>\n",
-                            "      <td>2</td>\n",
-                            "      <td>30-Jul-18</td>\n",
-                            "      <td>Charcoal Fabric</td>\n",
-                            "      <td>\"It's like Siri, in fact, Siri answers more ac...</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>165</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>111</th>\n",
-                            "      <td>2</td>\n",
-                            "      <td>30-Jul-18</td>\n",
-                            "      <td>Charcoal Fabric</td>\n",
-                            "      <td>Sound is terrible if u want good music too get...</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>53</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>141</th>\n",
-                            "      <td>1</td>\n",
-                            "      <td>30-Jul-18</td>\n",
-                            "      <td>Charcoal Fabric</td>\n",
-                            "      <td>Not much features.</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>18</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>162</th>\n",
-                            "      <td>1</td>\n",
-                            "      <td>30-Jul-18</td>\n",
-                            "      <td>Sandstone Fabric</td>\n",
-                            "      <td>\"Stopped working after 2 weeks ,didn't follow ...</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>89</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>176</th>\n",
-                            "      <td>2</td>\n",
-                            "      <td>30-Jul-18</td>\n",
-                            "      <td>Heather Gray Fabric</td>\n",
-                            "      <td>Sad joke. Worthless.</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>20</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>187</th>\n",
-                            "      <td>2</td>\n",
-                            "      <td>29-Jul-18</td>\n",
-                            "      <td>Charcoal Fabric</td>\n",
-                            "      <td>\"Really disappointed Alexa has to be plug-in t...</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>340</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>205</th>\n",
-                            "      <td>2</td>\n",
-                            "      <td>29-Jul-18</td>\n",
-                            "      <td>Sandstone Fabric</td>\n",
-                            "      <td>It's got great sound and bass but it doesn't w...</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>114</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>233</th>\n",
-                            "      <td>2</td>\n",
-                            "      <td>29-Jul-18</td>\n",
-                            "      <td>Sandstone Fabric</td>\n",
-                            "      <td>\"I am not super impressed with Alexa. When my ...</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>309</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>299</th>\n",
-                            "      <td>2</td>\n",
-                            "      <td>29-Jul-18</td>\n",
-                            "      <td>Charcoal Fabric</td>\n",
-                            "      <td>Too difficult to set up.  It keeps timing out ...</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>79</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>341</th>\n",
-                            "      <td>1</td>\n",
-                            "      <td>28-Jul-18</td>\n",
-                            "      <td>Charcoal Fabric</td>\n",
-                            "      <td>Alexa hardly came on..</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>22</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>350</th>\n",
-                            "      <td>1</td>\n",
-                            "      <td>31-Jul-18</td>\n",
-                            "      <td>Black</td>\n",
-                            "      <td>Item no longer works after just 5 months of us...</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>109</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>361</th>\n",
-                            "      <td>1</td>\n",
-                            "      <td>29-Jul-18</td>\n",
-                            "      <td>Black</td>\n",
-                            "      <td>This thing barely works. You have to select 3r...</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>154</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>368</th>\n",
-                            "      <td>1</td>\n",
-                            "      <td>28-Jul-18</td>\n",
-                            "      <td>Black</td>\n",
-                            "      <td>I returned 2 Echo Dots &amp; am only getting refun...</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>181</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>369</th>\n",
-                            "      <td>1</td>\n",
-                            "      <td>28-Jul-18</td>\n",
-                            "      <td>Black</td>\n",
-                            "      <td>not working</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>11</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>373</th>\n",
-                            "      <td>1</td>\n",
-                            "      <td>27-Jul-18</td>\n",
-                            "      <td>Black</td>\n",
-                            "      <td>I'm an Echo fan but this one did not work</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>41</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>374</th>\n",
-                            "      <td>1</td>\n",
-                            "      <td>26-Jul-18</td>\n",
-                            "      <td>Black</td>\n",
-                            "      <td></td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>1</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>376</th>\n",
-                            "      <td>2</td>\n",
-                            "      <td>26-Jul-18</td>\n",
-                            "      <td>Black</td>\n",
-                            "      <td>Doesn't always respond when spoken to with pro...</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>159</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>381</th>\n",
-                            "      <td>1</td>\n",
-                            "      <td>25-Jul-18</td>\n",
-                            "      <td>White</td>\n",
-                            "      <td>It worked for a month or so then it stopped. I...</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>130</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>382</th>\n",
-                            "      <td>2</td>\n",
-                            "      <td>25-Jul-18</td>\n",
-                            "      <td>Black</td>\n",
-                            "      <td>Poor quality. Gave it away.</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>27</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>388</th>\n",
-                            "      <td>1</td>\n",
-                            "      <td>24-Jul-18</td>\n",
-                            "      <td>Black</td>\n",
-                            "      <td>\"Never could get it to work. A techie friend l...</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>243</td>\n",
-                            "    </tr>\n",
-                            "  </tbody>\n",
-                            "</table>\n",
-                            "</div>"
-                        ],
-                        "text/plain": [
-                            "     rating       date             variation  \\\n",
-                            "46        2  30-Jul-18      Charcoal Fabric    \n",
-                            "111       2  30-Jul-18      Charcoal Fabric    \n",
-                            "141       1  30-Jul-18      Charcoal Fabric    \n",
-                            "162       1  30-Jul-18     Sandstone Fabric    \n",
-                            "176       2  30-Jul-18  Heather Gray Fabric    \n",
-                            "187       2  29-Jul-18      Charcoal Fabric    \n",
-                            "205       2  29-Jul-18     Sandstone Fabric    \n",
-                            "233       2  29-Jul-18     Sandstone Fabric    \n",
-                            "299       2  29-Jul-18      Charcoal Fabric    \n",
-                            "341       1  28-Jul-18      Charcoal Fabric    \n",
-                            "350       1  31-Jul-18                 Black   \n",
-                            "361       1  29-Jul-18                 Black   \n",
-                            "368       1  28-Jul-18                 Black   \n",
-                            "369       1  28-Jul-18                 Black   \n",
-                            "373       1  27-Jul-18                 Black   \n",
-                            "374       1  26-Jul-18                 Black   \n",
-                            "376       2  26-Jul-18                 Black   \n",
-                            "381       1  25-Jul-18                 White   \n",
-                            "382       2  25-Jul-18                 Black   \n",
-                            "388       1  24-Jul-18                 Black   \n",
-                            "\n",
-                            "                                      verified_reviews  feedback  length  \n",
-                            "46   \"It's like Siri, in fact, Siri answers more ac...         0     165  \n",
-                            "111  Sound is terrible if u want good music too get...         0      53  \n",
-                            "141                                 Not much features.         0      18  \n",
-                            "162  \"Stopped working after 2 weeks ,didn't follow ...         0      89  \n",
-                            "176                               Sad joke. Worthless.         0      20  \n",
-                            "187  \"Really disappointed Alexa has to be plug-in t...         0     340  \n",
-                            "205  It's got great sound and bass but it doesn't w...         0     114  \n",
-                            "233  \"I am not super impressed with Alexa. When my ...         0     309  \n",
-                            "299  Too difficult to set up.  It keeps timing out ...         0      79  \n",
-                            "341                             Alexa hardly came on..         0      22  \n",
-                            "350  Item no longer works after just 5 months of us...         0     109  \n",
-                            "361  This thing barely works. You have to select 3r...         0     154  \n",
-                            "368  I returned 2 Echo Dots & am only getting refun...         0     181  \n",
-                            "369                                        not working         0      11  \n",
-                            "373          I'm an Echo fan but this one did not work         0      41  \n",
-                            "374                                                            0       1  \n",
-                            "376  Doesn't always respond when spoken to with pro...         0     159  \n",
-                            "381  It worked for a month or so then it stopped. I...         0     130  \n",
-                            "382                        Poor quality. Gave it away.         0      27  \n",
-                            "388  \"Never could get it to work. A techie friend l...         0     243  "
-                        ]
-                    },
-                    "execution_count": 95,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                }
-            ],
-            "source": [
-                "alexa[alexa['feedback']==0].head(20)"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 96,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "#Daten werden in Test und Train Daten aufgeteilt\n",
-                "\n",
-                "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 0.20, random_state = 0)\n",
-                "\n",
-                "classifier = DecisionTreeClassifier()\n",
-                "classifier.fit(X_train, y_train)\n",
-                "y_preddata = classifier.predict(X_test)"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 103,
-            "metadata": {},
-            "outputs": [
-                {
-                    "name": "stdout",
-                    "output_type": "stream",
-                    "text": [
-                        "The F1 score is:  73.798908703753\n",
-                        "The precision score is:  74.67241379310346\n",
-                        "The recall score is:  73.00347222222221\n",
-                        "The accuracy score is:  92.06349206349206\n"
-                    ]
-                }
-            ],
-            "source": [
-                "print(\"The F1 score is: \", f1_score(y_test, y_preddata, average=\"macro\")*100)\n",
-                "print(\"The precision score is: \", precision_score(y_test, y_preddata, average=\"macro\")*(100))\n",
-                "print(\"The recall score is: \", recall_score(y_test, y_preddata, average=\"macro\")*100) \n",
-                "print(\"The accuracy score is: \", accuracy_score(y_test, y_preddata)*100)\n",
-                "\n",
-                "\n",
-                "# ## Decision tree (2. Variante)\n",
-                "# \n",
-                "# "
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 98,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "dt_clf = DecisionTreeClassifier(class_weight='balanced')"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 99,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "dt_clf.fit(X_train, y_train)               # Model fitting auf X_train,y_train\n",
-                "y_pred = dt_clf.predict(X_test)"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 100,
-            "metadata": {},
-            "outputs": [
-                {
-                    "name": "stdout",
-                    "output_type": "stream",
-                    "text": [
-                        "[[ 30  24]\n",
-                        " [ 46 530]]\n"
-                    ]
-                }
-            ],
-            "source": [
-                "# Confusion Matrix\n",
-                "cm = confusion_matrix(y_test,y_pred)\n",
-                "print(cm)"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 101,
-            "metadata": {},
-            "outputs": [
-                {
-                    "name": "stdout",
-                    "output_type": "stream",
-                    "text": [
-                        "              precision    recall  f1-score   support\n",
-                        "\n",
-                        "           0       0.39      0.56      0.46        54\n",
-                        "           1       0.96      0.92      0.94       576\n",
-                        "\n",
-                        "    accuracy                           0.89       630\n",
-                        "   macro avg       0.68      0.74      0.70       630\n",
-                        "weighted avg       0.91      0.89      0.90       630\n",
-                        "\n"
-                    ]
-                }
-            ],
-            "source": [
-                "cr = classification_report(y_test ,y_pred)\n",
-                "print(cr)"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 102,
-            "metadata": {},
-            "outputs": [
-                {
-                    "name": "stdout",
-                    "output_type": "stream",
-                    "text": [
-                        "0.8888888888888888\n"
-                    ]
-                }
-            ],
-            "source": [
-                "acc=accuracy_score(y_test,y_pred)\n",
-                "print(acc)"
-            ]
-        }
-    ],
-    "metadata": {
-        "interpreter": {
-            "hash": "d8ad938b111551bd971540a987a9651c3040c84fd74b784460cb61a1a48b653c"
-        },
-        "kernelspec": {
-            "display_name": "Python 3.8.9 64-bit ('venv': venv)",
-            "language": "python",
-            "name": "python3"
-        },
-        "language_info": {
-            "codemirror_mode": {
-                "name": "ipython",
-                "version": 3
-            },
-            "file_extension": ".py",
-            "mimetype": "text/x-python",
-            "name": "python",
-            "nbconvert_exporter": "python",
-            "pygments_lexer": "ipython3",
-            "version": "3.8.9"
-        },
-        "orig_nbformat": 4,
-        "title": "Sentiment analysis on amazon alexa reviews",
-        "category": "CRM"
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 56,
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
     },
-    "nbformat": 4,
-    "nbformat_minor": 2
-}
\ No newline at end of file
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "import warnings\n",
+    "\n",
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "# get_ipython().run_line_magic('matplotlib', 'inline')\n",
+    "import seaborn as sns\n",
+    "\n",
+    "plt.style.use('fivethirtyeight')\n",
+    "plt.rcParams['figure.figsize'] = (15, 9)\n",
+    "\n",
+    "from sklearn.feature_extraction.text import CountVectorizer\n",
+    "# from sklearn import tree\n",
+    "from sklearn.tree import DecisionTreeClassifier\n",
+    "\n",
+    "from sklearn.model_selection import train_test_split\n",
+    "from sklearn.metrics import accuracy_score, f1_score, precision_score, recall_score, classification_report, confusion_matrix\n",
+    "\n",
+    "from wordcloud import WordCloud\n",
+    "\n",
+    "import re\n",
+    "from nltk.corpus import stopwords\n",
+    "from nltk.stem.porter import PorterStemmer\n",
+    "# from wordcloud import STOPWORDS"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 57,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "showing info https://raw.githubusercontent.com/nltk/nltk_data/gh-pages/index.xml\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "True"
+      ]
+     },
+     "execution_count": 57,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "\n",
+    "import nltk\n",
+    "nltk.download()\n",
+    "# https://www.nltk.org/data.html\n",
+    "# A new window should open, showing the NLTK Downloader. Click on the File menu and select Change Download Directory. \n",
+    "# For central installation, set this to C:\\nltk_data (Windows), /usr/local/share/nltk_data (Mac), or /usr/share/nltk_data (Unix). \n",
+    "# Next, select the packages or collections you want to download.\n",
+    "# If you did not install the data to one of the above central locations, you will need to set the NLTK_DATA environment variable \n",
+    "# to specify the location of the data. (On a Windows machine, right click on “My Computer” then \n",
+    "# select Properties > Advanced > Environment Variables > User Variables > New...)\n",
+    "# Test that the data has been installed as follows. (This assumes you downloaded the Brown Corpus):\n",
+    "\n",
+    "# then close the window to continue"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 58,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(3150, 5)"
+      ]
+     },
+     "execution_count": 58,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "alexa = pd.read_csv('https://storage.googleapis.com/ml-service-repository-datastorage/Sentiment_analysis_on_amazon_alexa_reviews_amazon_alexa.tsv', delimiter = '\\t', quoting = 3)\n",
+    "\n",
+    "alexa.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 59,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>rating</th>\n",
+       "      <th>date</th>\n",
+       "      <th>variation</th>\n",
+       "      <th>verified_reviews</th>\n",
+       "      <th>feedback</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>5</td>\n",
+       "      <td>31-Jul-18</td>\n",
+       "      <td>Charcoal Fabric</td>\n",
+       "      <td>Love my Echo!</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>5</td>\n",
+       "      <td>31-Jul-18</td>\n",
+       "      <td>Charcoal Fabric</td>\n",
+       "      <td>Loved it!</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>4</td>\n",
+       "      <td>31-Jul-18</td>\n",
+       "      <td>Walnut Finish</td>\n",
+       "      <td>\"Sometimes while playing a game, you can answe...</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>5</td>\n",
+       "      <td>31-Jul-18</td>\n",
+       "      <td>Charcoal Fabric</td>\n",
+       "      <td>\"I have had a lot of fun with this thing. My 4...</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>5</td>\n",
+       "      <td>31-Jul-18</td>\n",
+       "      <td>Charcoal Fabric</td>\n",
+       "      <td>Music</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   rating       date         variation  \\\n",
+       "0       5  31-Jul-18  Charcoal Fabric    \n",
+       "1       5  31-Jul-18  Charcoal Fabric    \n",
+       "2       4  31-Jul-18    Walnut Finish    \n",
+       "3       5  31-Jul-18  Charcoal Fabric    \n",
+       "4       5  31-Jul-18  Charcoal Fabric    \n",
+       "\n",
+       "                                    verified_reviews  feedback  \n",
+       "0                                      Love my Echo!         1  \n",
+       "1                                          Loved it!         1  \n",
+       "2  \"Sometimes while playing a game, you can answe...         1  \n",
+       "3  \"I have had a lot of fun with this thing. My 4...         1  \n",
+       "4                                              Music         1  "
+      ]
+     },
+     "execution_count": 59,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "alexa.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 60,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "RangeIndex: 3150 entries, 0 to 3149\n",
+      "Data columns (total 5 columns):\n",
+      " #   Column            Non-Null Count  Dtype \n",
+      "---  ------            --------------  ----- \n",
+      " 0   rating            3150 non-null   int64 \n",
+      " 1   date              3150 non-null   object\n",
+      " 2   variation         3150 non-null   object\n",
+      " 3   verified_reviews  3150 non-null   object\n",
+      " 4   feedback          3150 non-null   int64 \n",
+      "dtypes: int64(2), object(3)\n",
+      "memory usage: 123.2+ KB\n"
+     ]
+    }
+   ],
+   "source": [
+    "alexa.info()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 61,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>rating</th>\n",
+       "      <th>feedback</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>count</th>\n",
+       "      <td>3150.000000</td>\n",
+       "      <td>3150.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mean</th>\n",
+       "      <td>4.463175</td>\n",
+       "      <td>0.918413</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>std</th>\n",
+       "      <td>1.068506</td>\n",
+       "      <td>0.273778</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>min</th>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25%</th>\n",
+       "      <td>4.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50%</th>\n",
+       "      <td>5.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75%</th>\n",
+       "      <td>5.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>max</th>\n",
+       "      <td>5.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "            rating     feedback\n",
+       "count  3150.000000  3150.000000\n",
+       "mean      4.463175     0.918413\n",
+       "std       1.068506     0.273778\n",
+       "min       1.000000     0.000000\n",
+       "25%       4.000000     1.000000\n",
+       "50%       5.000000     1.000000\n",
+       "75%       5.000000     1.000000\n",
+       "max       5.000000     1.000000"
+      ]
+     },
+     "execution_count": 61,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "alexa.describe()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 62,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "| Feature  | Data Type|\n",
+      "|-----|------|\n",
+      "|rating          |   int64  |\n",
+      "|date            |   str [ example: \"30-Jul-18\" ]  |\n",
+      "|variation       |   str [ example: \"Configuration: Fire TV Stick\" ]  |\n",
+      "|verified_reviews|   str [ example: \"Works as advertised. Very easy to setup. Still learning what this can do.\" ]  |\n",
+      "|feedback        |   int64  |\n"
+     ]
+    }
+   ],
+   "source": [
+    "def attribute_description(data):\n",
+    "    longestColumnName = len(max(np.array(data.columns), key=len))\n",
+    "    print(\"| Feature  | Data Type|\")\n",
+    "    print(\"|-----|------|\")\n",
+    "    for col in data.columns:\n",
+    "        description = ''\n",
+    "        col_dropna = data[col].dropna()\n",
+    "        example = col_dropna.sample(1).values[0]\n",
+    "        if type(example) == str:\n",
+    "            description = 'str '\n",
+    "            if len(col_dropna.unique()) < 10:\n",
+    "                description += '{'\n",
+    "                description += '; '.join([ f'\"{name}\"' for name in col_dropna.unique()])\n",
+    "                description += '}'\n",
+    "            else:\n",
+    "                description += '[ example: \"'+ example + '\" ]'\n",
+    "        elif (type(example) == np.int32) and (len(col_dropna.unique()) < 10) :\n",
+    "            description += 'dummy int32 {'\n",
+    "            description += '; '.join([ f'{name}' for name in sorted(col_dropna.unique())])\n",
+    "            description += '}'\n",
+    "        else:\n",
+    "            try:\n",
+    "                description = example.dtype\n",
+    "            except:\n",
+    "                 description = type(example)\n",
+    "        print(\"|\" + col.ljust(longestColumnName)+ f'|   {description}  |')\n",
+    " \n",
+    "attribute_description(alexa)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 63,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "False"
+      ]
+     },
+     "execution_count": 63,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Es wird überprüft, ob es \"null data\" gibt oder nicht --> es geht hervor, dass es keine \"null data\" gibt\n",
+    "\n",
+    "alexa.isnull().any().any()\n",
+    "\n",
+    "\n",
+    "# ## Beschreibung der Daten entsprechend der Länge der Bewertungen"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 64,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead tr th {\n",
+       "        text-align: left;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead tr:last-of-type th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr>\n",
+       "      <th></th>\n",
+       "      <th colspan=\"8\" halign=\"left\">rating</th>\n",
+       "      <th colspan=\"8\" halign=\"left\">feedback</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th></th>\n",
+       "      <th>count</th>\n",
+       "      <th>mean</th>\n",
+       "      <th>std</th>\n",
+       "      <th>min</th>\n",
+       "      <th>25%</th>\n",
+       "      <th>50%</th>\n",
+       "      <th>75%</th>\n",
+       "      <th>max</th>\n",
+       "      <th>count</th>\n",
+       "      <th>mean</th>\n",
+       "      <th>std</th>\n",
+       "      <th>min</th>\n",
+       "      <th>25%</th>\n",
+       "      <th>50%</th>\n",
+       "      <th>75%</th>\n",
+       "      <th>max</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>length</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>50</th>\n",
+       "      <td>21.0</td>\n",
+       "      <td>4.904762</td>\n",
+       "      <td>0.300793</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>5.00</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>21.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.00</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>467</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>5.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>5.00</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.00</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>313</th>\n",
+       "      <td>2.0</td>\n",
+       "      <td>5.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>5.00</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.00</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>41.0</td>\n",
+       "      <td>4.853659</td>\n",
+       "      <td>0.357839</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>5.00</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>41.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.00</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>142</th>\n",
+       "      <td>6.0</td>\n",
+       "      <td>4.333333</td>\n",
+       "      <td>1.632993</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>5.00</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>6.0</td>\n",
+       "      <td>0.833333</td>\n",
+       "      <td>0.408248</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.00</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>595</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>5.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>5.00</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.00</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>204</th>\n",
+       "      <td>4.0</td>\n",
+       "      <td>4.750000</td>\n",
+       "      <td>0.500000</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>4.75</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.00</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>325</th>\n",
+       "      <td>2.0</td>\n",
+       "      <td>5.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>5.00</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.00</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>116</th>\n",
+       "      <td>14.0</td>\n",
+       "      <td>4.142857</td>\n",
+       "      <td>1.561909</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>4.25</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>14.0</td>\n",
+       "      <td>0.785714</td>\n",
+       "      <td>0.425815</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.00</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1566</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>5.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>5.00</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.00</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1311</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>3.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>3.00</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.00</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>36.0</td>\n",
+       "      <td>4.944444</td>\n",
+       "      <td>0.232311</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>5.00</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>36.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.00</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>160</th>\n",
+       "      <td>5.0</td>\n",
+       "      <td>5.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>5.00</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.00</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>103</th>\n",
+       "      <td>12.0</td>\n",
+       "      <td>4.583333</td>\n",
+       "      <td>0.668558</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>4.00</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>12.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.00</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>41</th>\n",
+       "      <td>11.0</td>\n",
+       "      <td>4.454545</td>\n",
+       "      <td>1.293340</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>5.00</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>11.0</td>\n",
+       "      <td>0.909091</td>\n",
+       "      <td>0.301511</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.00</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>632</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>4.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>4.00</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.00</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>166</th>\n",
+       "      <td>4.0</td>\n",
+       "      <td>4.000000</td>\n",
+       "      <td>2.000000</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>4.00</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>0.750000</td>\n",
+       "      <td>0.500000</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.75</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>170</th>\n",
+       "      <td>8.0</td>\n",
+       "      <td>5.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>5.00</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>8.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.00</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>324</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>2.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>2.00</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>112</th>\n",
+       "      <td>7.0</td>\n",
+       "      <td>4.714286</td>\n",
+       "      <td>0.487950</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>4.50</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>7.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.00</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       rating                                               feedback  \\\n",
+       "        count      mean       std  min   25%  50%  75%  max    count   \n",
+       "length                                                                 \n",
+       "50       21.0  4.904762  0.300793  4.0  5.00  5.0  5.0  5.0     21.0   \n",
+       "467       1.0  5.000000       NaN  5.0  5.00  5.0  5.0  5.0      1.0   \n",
+       "313       2.0  5.000000  0.000000  5.0  5.00  5.0  5.0  5.0      2.0   \n",
+       "8        41.0  4.853659  0.357839  4.0  5.00  5.0  5.0  5.0     41.0   \n",
+       "142       6.0  4.333333  1.632993  1.0  5.00  5.0  5.0  5.0      6.0   \n",
+       "595       1.0  5.000000       NaN  5.0  5.00  5.0  5.0  5.0      1.0   \n",
+       "204       4.0  4.750000  0.500000  4.0  4.75  5.0  5.0  5.0      4.0   \n",
+       "325       2.0  5.000000  0.000000  5.0  5.00  5.0  5.0  5.0      2.0   \n",
+       "116      14.0  4.142857  1.561909  1.0  4.25  5.0  5.0  5.0     14.0   \n",
+       "1566      1.0  5.000000       NaN  5.0  5.00  5.0  5.0  5.0      1.0   \n",
+       "1311      1.0  3.000000       NaN  3.0  3.00  3.0  3.0  3.0      1.0   \n",
+       "12       36.0  4.944444  0.232311  4.0  5.00  5.0  5.0  5.0     36.0   \n",
+       "160       5.0  5.000000  0.000000  5.0  5.00  5.0  5.0  5.0      5.0   \n",
+       "103      12.0  4.583333  0.668558  3.0  4.00  5.0  5.0  5.0     12.0   \n",
+       "41       11.0  4.454545  1.293340  1.0  5.00  5.0  5.0  5.0     11.0   \n",
+       "632       1.0  4.000000       NaN  4.0  4.00  4.0  4.0  4.0      1.0   \n",
+       "166       4.0  4.000000  2.000000  1.0  4.00  5.0  5.0  5.0      4.0   \n",
+       "170       8.0  5.000000  0.000000  5.0  5.00  5.0  5.0  5.0      8.0   \n",
+       "324       1.0  2.000000       NaN  2.0  2.00  2.0  2.0  2.0      1.0   \n",
+       "112       7.0  4.714286  0.487950  4.0  4.50  5.0  5.0  5.0      7.0   \n",
+       "\n",
+       "                                                      \n",
+       "            mean       std  min   25%  50%  75%  max  \n",
+       "length                                                \n",
+       "50      1.000000  0.000000  1.0  1.00  1.0  1.0  1.0  \n",
+       "467     1.000000       NaN  1.0  1.00  1.0  1.0  1.0  \n",
+       "313     1.000000  0.000000  1.0  1.00  1.0  1.0  1.0  \n",
+       "8       1.000000  0.000000  1.0  1.00  1.0  1.0  1.0  \n",
+       "142     0.833333  0.408248  0.0  1.00  1.0  1.0  1.0  \n",
+       "595     1.000000       NaN  1.0  1.00  1.0  1.0  1.0  \n",
+       "204     1.000000  0.000000  1.0  1.00  1.0  1.0  1.0  \n",
+       "325     1.000000  0.000000  1.0  1.00  1.0  1.0  1.0  \n",
+       "116     0.785714  0.425815  0.0  1.00  1.0  1.0  1.0  \n",
+       "1566    1.000000       NaN  1.0  1.00  1.0  1.0  1.0  \n",
+       "1311    1.000000       NaN  1.0  1.00  1.0  1.0  1.0  \n",
+       "12      1.000000  0.000000  1.0  1.00  1.0  1.0  1.0  \n",
+       "160     1.000000  0.000000  1.0  1.00  1.0  1.0  1.0  \n",
+       "103     1.000000  0.000000  1.0  1.00  1.0  1.0  1.0  \n",
+       "41      0.909091  0.301511  0.0  1.00  1.0  1.0  1.0  \n",
+       "632     1.000000       NaN  1.0  1.00  1.0  1.0  1.0  \n",
+       "166     0.750000  0.500000  0.0  0.75  1.0  1.0  1.0  \n",
+       "170     1.000000  0.000000  1.0  1.00  1.0  1.0  1.0  \n",
+       "324     0.000000       NaN  0.0  0.00  0.0  0.0  0.0  \n",
+       "112     1.000000  0.000000  1.0  1.00  1.0  1.0  1.0  "
+      ]
+     },
+     "execution_count": 64,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#Es wird eine Längenkolonne zur Analyse der Länge der Bewertungen hinzugefügt\n",
+    "\n",
+    "alexa['length'] = alexa['verified_reviews'].apply(len)\n",
+    "alexa.groupby('length').describe().sample(20)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 65,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Text(0.5, 1.0, 'Verteilung nach Länge')"
+      ]
+     },
+     "execution_count": 65,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 576x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "#veranschaulicht die Verteilung nach Länge\n",
+    "\n",
+    "plt.figure(figsize=(8,5))\n",
+    "alexa.length.plot(color = 'lightblue',kind=\"box\")\n",
+    "plt.title(\"Verteilung nach Länge\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 66,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Text(0.5, 1.0, 'Durschnittliche Wortlänge von positiven und negativen Bewertungen')"
+      ]
+     },
+     "execution_count": 66,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1080x648 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "#veranschaulicht die Durschnittliche Wortlänge von positiven und negativen Bewertungen \n",
+    "\n",
+    "colors = ['teal', 'cadetblue']\n",
+    "alexa.groupby(\"feedback\").length.mean().plot(color = colors, kind=\"bar\")\n",
+    "plt.title(\"Durschnittliche Wortlänge von positiven und negativen Bewertungen\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 67,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1080x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "alexa['length'].value_counts().plot.hist(color = 'lightblue', figsize = (15, 5), bins = 50)\n",
+    "plt.title('Verteilung der Länge der Bewertungen')\n",
+    "plt.xlabel('lengths')\n",
+    "plt.ylabel('count')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 68,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'Love my Echo!'"
+      ]
+     },
+     "execution_count": 68,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#zeigt ein paar Beispiele von verschiedenen Bewertungen mit verschiedenen Längen\n",
+    "\n",
+    "alexa[alexa['length'] == 13]['verified_reviews'].iloc[0]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 69,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'\"I love it, wife hates it.\"'"
+      ]
+     },
+     "execution_count": 69,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "alexa[alexa['length'] == 27]['verified_reviews'].iloc[0]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 70,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'Super easy set up and am loving our new Echo!'"
+      ]
+     },
+     "execution_count": 70,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "alexa[alexa['length'] == 45]['verified_reviews'].iloc[0]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 71,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'\"Love the Echo !!! I love the size, material and speaker quality. I have it hooked up to one light easily and will work on additional lights and thermostat. Next is Echo Dot for bedroom. There is a lot more to do with Echo that you think. Traffic, Weather, Trivia, etc.\"'"
+      ]
+     },
+     "execution_count": 71,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "alexa[alexa['length'] == 270]['verified_reviews'].iloc[0]\n",
+    "\n",
+    "\n",
+    "# ## Beschreibung der Daten entsprechend den Bewertungen"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 72,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead tr th {\n",
+       "        text-align: left;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead tr:last-of-type th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr>\n",
+       "      <th></th>\n",
+       "      <th colspan=\"8\" halign=\"left\">feedback</th>\n",
+       "      <th colspan=\"8\" halign=\"left\">length</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th></th>\n",
+       "      <th>count</th>\n",
+       "      <th>mean</th>\n",
+       "      <th>std</th>\n",
+       "      <th>min</th>\n",
+       "      <th>25%</th>\n",
+       "      <th>50%</th>\n",
+       "      <th>75%</th>\n",
+       "      <th>max</th>\n",
+       "      <th>count</th>\n",
+       "      <th>mean</th>\n",
+       "      <th>std</th>\n",
+       "      <th>min</th>\n",
+       "      <th>25%</th>\n",
+       "      <th>50%</th>\n",
+       "      <th>75%</th>\n",
+       "      <th>max</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>rating</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>161.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>161.0</td>\n",
+       "      <td>195.658385</td>\n",
+       "      <td>212.928219</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>36.00</td>\n",
+       "      <td>120.0</td>\n",
+       "      <td>284.00</td>\n",
+       "      <td>1126.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>96.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>96.0</td>\n",
+       "      <td>250.020833</td>\n",
+       "      <td>270.179472</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>78.75</td>\n",
+       "      <td>165.0</td>\n",
+       "      <td>311.25</td>\n",
+       "      <td>1688.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>152.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>152.0</td>\n",
+       "      <td>208.098684</td>\n",
+       "      <td>272.582517</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>54.00</td>\n",
+       "      <td>131.0</td>\n",
+       "      <td>286.00</td>\n",
+       "      <td>1956.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>455.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>455.0</td>\n",
+       "      <td>179.338462</td>\n",
+       "      <td>216.415268</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>34.50</td>\n",
+       "      <td>100.0</td>\n",
+       "      <td>242.00</td>\n",
+       "      <td>1362.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>2286.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>2286.0</td>\n",
+       "      <td>109.006562</td>\n",
+       "      <td>152.505019</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>27.00</td>\n",
+       "      <td>65.0</td>\n",
+       "      <td>136.00</td>\n",
+       "      <td>2853.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       feedback                                     length              \\\n",
+       "          count mean  std  min  25%  50%  75%  max   count        mean   \n",
+       "rating                                                                   \n",
+       "1         161.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0   161.0  195.658385   \n",
+       "2          96.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0    96.0  250.020833   \n",
+       "3         152.0  1.0  0.0  1.0  1.0  1.0  1.0  1.0   152.0  208.098684   \n",
+       "4         455.0  1.0  0.0  1.0  1.0  1.0  1.0  1.0   455.0  179.338462   \n",
+       "5        2286.0  1.0  0.0  1.0  1.0  1.0  1.0  1.0  2286.0  109.006562   \n",
+       "\n",
+       "                                                       \n",
+       "               std  min    25%    50%     75%     max  \n",
+       "rating                                                 \n",
+       "1       212.928219  1.0  36.00  120.0  284.00  1126.0  \n",
+       "2       270.179472  1.0  78.75  165.0  311.25  1688.0  \n",
+       "3       272.582517  1.0  54.00  131.0  286.00  1956.0  \n",
+       "4       216.415268  1.0  34.50  100.0  242.00  1362.0  \n",
+       "5       152.505019  1.0  27.00   65.0  136.00  2853.0  "
+      ]
+     },
+     "execution_count": 72,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#zeigt die Verteilung der Sterne-Bewertungen an --> es geht hervor, dass am häufigsten 5 Sterne vergeben werden\n",
+    "\n",
+    "alexa.groupby('rating').describe()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 73,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "1    2893\n",
+       "0     257\n",
+       "Name: feedback, dtype: int64"
+      ]
+     },
+     "execution_count": 73,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#zeigt in welche Richtung (positiv/negativ) die Bewertungen gehen --> es geht hervor, dass die Bewertungen eher positiv ausfallen\n",
+    "\n",
+    "alexa.feedback.value_counts()\n",
+    "\n",
+    "\n",
+    "# ## Verteilung der positiven und negativen Bewertungen\n",
+    "# "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 74,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Text(0.5, 1.0, 'Prozentuale Verteilung von positiven und negativen Bewertungen')"
+      ]
+     },
+     "execution_count": 74,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1080x648 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "#zeigt diprozentuale Verteilung von positiven und negativen Bewertungen an --> es geht hervor, dass Alexa sehr gut abschneidet\n",
+    " \n",
+    "colors = ['lightskyblue', 'teal']\n",
+    "alexa.groupby(\"feedback\").rating.count().plot(colors=colors,kind=\"pie\",shadow=True, autopct='%1.1f%%',explode=(0.1,0.1))\n",
+    "plt.title(\"Prozentuale Verteilung von positiven und negativen Bewertungen\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 75,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Percentage of negative reviews:  8.158730158730158\n",
+      "Percentage of Positive reviews:  91.84126984126983\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(\"Percentage of negative reviews: \", (len(alexa[alexa['feedback'] == 0]) * 100)/len(alexa))\n",
+    "print(\"Percentage of Positive reviews: \", (len(alexa[alexa['feedback'] == 1]) * 100)/len(alexa))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 76,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Text(0.5, 1.0, 'Prozentuale Verteilung nach Anzahl der Sterne')"
+      ]
+     },
+     "execution_count": 76,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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V1bUnW11pbm62+hC3VZCrLaN3dR2cI0eOYNmyZTCbzZgxYwYWLlwIPz8/CIVCnDlzBlu2bOl2QR7Q98dvy9ixY5GamoozZ87gxIkTGDVqFE6cOIEzZ85g2LBhFh+ydXV1MJvNvbrvzrp6PXSnrq4OQOvaq57u09262m5u6/XU2NgIf39/q4QfcOx5sff+7X3ttf1tRkZG2hWTM/6+CgsLkZmZiUGDBlmtWVmxYgXeeOMNfP3111i1apXFt3FHY+jpPQcAMjIysHLlSsjlcsycORODBw+GUqmEUChEVlYW9u/fb/Nv157fkb3sfU315W8pJCSkV4mGLUqlEosXL25PDI1GI9asWYOnn34a69atw8KFC3u1qN2V8dvze2qL47333uv2PrVarV0xulK/S2LsYeuF0fbtsKqqyuZtWlpa0NjYaPMD9rnnnsPGjRtx7bXX4pVXXuny3CkpKThw4EBfQu8TobB1lrGrNyFbCdpbb70FnU6HjIwMTJs2zeKyf/3rX9iyZUuP9+uqx3/nnXfiySefxJo1azBq1Kj2UZg77rjD6v5NJlOXQ+fdceRNsO3xXnPNNdiwYYPdt++JI79HR/j5+aGhoQEGg8HqQ6ervxNnsve11/am3tPIoCu0LegtLS21mBbq6PLly9i+fTsWLlzY5/vr6T0HAP7+979DKpViz549SEpKsrjs0Ucfxf79+/sch738/f2h0Wh6/Zrqy9+SowmMLVKpFPfeey+OHDmCb7/9Fnv37u1VEuMp8bfFUVxc3OXr09P0uzUxfeXn54f4+HhUVVXZnBfct28fAOth348++gjvv/8+Jk6ciNWrV9t84anVaqSkpCA/P7/HSrN90ZaBsyxr8/K2b3u25uYbGhpsrsgvKipCUFCQ1YcIgF6/Cbrq8d90001QqVT4/vvvUVVVhe+//x5yudxqPcS4cePQ1NSEM2fOOO2+u/tWmpiYiICAABw/ftyhbbo96e73aDab28sF9NWIESPAcRyys7OtLrN1zNnsfe21rQfpXFHV1YxGI9avXw+BQIDbbrsNv//9763+XXPNNQB+m3Lqi9685wCtz19SUpJVAsOyrFt+f7aMHDkSHMfZ/DJj63fq6r8le7Xtnuy485XP94LeGjduHADw+iXaXpTEOOD3v/89gNZvOR3rSTQ2NuLll18GYPktf9OmTfjLX/6CIUOG4JtvvoFcLu/y3A899BBMJhMefPBB1NfXW13e1NTUPqfvqMDAQAgEgi4XECYmJsLf3x9btmyxqI1iNpvxl7/8BTqdzuo2sbGxqK+vR05OjsXxtWvXYteuXb2OzRWP39/fH9dddx2ampqwcuVKNDU1YdmyZVZD8w899BCA1m+fly9ftjqPXq/vsuZMV9pG5Gw912KxGPfffz+qqqrw5JNPoqWlxeo6tbW1Dicbfn5+SEpKwqFDhyy2pXIch9dff73bBaT2uOWWWwC0fqPvPG3T1fy+M9n72lu4cCFiY2Oxfft2m996q6qqYDabnR5nRkYGampqMG3aNLz//vt49913rf6tXbsWAwYMwM6dO22+BnvLnvec2NhYFBUVWYxMcRyH1157jbcFnG3rhV555RWL9xuNRoO33nrL6vqu/lvq7PPPP8eRI0dsXpaXl4effvoJgOX6HT7fC3rrvvvug1QqxXPPPWdz/Y3ZbG7/ou4paDrJAQ899BB27tyJnTt3YvLkyViwYAFMJhMyMjJQXl6OW265Bddee2379e+9916wLIsxY8bgo48+sjpfQEAAHnzwQQCtf7ynTp3Cxx9/jPT0dMyZMwexsbFoaGjAxYsXceDAAcyaNQvffPONw/Gr1WqMHz8ehw4dws0334yRI0dCIpFg8uTJmDJlCiQSCR588EG8/vrrmD59OpYsWQKBQIDMzExwHIfU1FSrD4wHHngAu3btwsKFC3HttdfC398fJ06cQHZ2NpYvX46NGzf2KjZXPf677roL69ata09CbFXonT59Ol555RW88MILGDNmDObNm4e4uDjo9XpcunQJBw4cQGxsLLKysnp9v9OnT4dQKMTq1atRX1/fPp9/3333ISAgAE899RTOnTuHtWvXYvv27Zg+fTqio6NRU1OD4uJiZGdn45577nG4LsP//d//4cEHH2z/vSiVShw6dAiXL1/G1KlT7XosXVmxYgV++OEH7Ny5E5MmTcKiRYva/x5GjRqF/Pz89qktV7D3tSeVSrFmzRr87ne/w/3334+1a9di3LhxMBqNKCgowK+//or8/Hyb60/6om10pbvq0FKpFDfffDM+/PBDfPXVVw7XWrHnPefBBx/EY489hunTp2PZsmUQi8U4dOgQLly4gGuuucahYpV9dcMNN+CHH37AL7/80l7Hp+01lZ6ebnM02NV/Sx3t3LkTjz/+OGJjYzFhwgQMHDgQBoMBhYWF2L17N0wmE5YuXYrly5e334bv94LeGDp0KD744AM89NBDmDRpEubOnYuEhAQwDIPLly/j0KFDMBgMuHjxostisBclMQ6QSqX44Ycf8OGHH+Lbb7/Fp59+CqFQiGHDhuHpp59uH6lp0/ZNoqvtcTExMe1vKADw5ptvYv78+fjss8+QlZWF+vp6BAQEICoqCvfcc49TmsV99NFHePbZZ3Hw4EHs2LEDLMti1apV7d8cVq1aBZVKhS+++KL92+HixYvx/PPP4/bbb7c639y5c7Fhwwa89dZb+PHHHyEUCjFmzBhkZGSgpKSk10mMqx7/mDFjkJaWhjNnziApKanL9hKPPPJI+/D7wYMHsXXrVqjVakRGRuKmm27CddddZ9f9JiYm4uOPP8a7776LdevWtb8WbrrpJgQEBEAsFmPt2rX4/vvv8fXXX2PHjh3ti5ZjYmLw+OOP4+abb7b78bZpK7L13nvvYcOGDVCr1Zg9eza++uorvPrqqw6ftyOBQIB169bhn//8J/773//i448/Rnh4OFasWIE//OEP2Lx5c6+KEzrKkdfeqFGjkJmZiX//+9/Yvn07jh49CqVSibi4ODz++ONQqVROjbFtQW9wcDCWLFnS7XVXrlyJDz/8EOvWrcOf//xnhxJAe95z7rrrLkilUnz44YdYv3495HI5Jk2ahPfffx8///wzL0mMQCDAmjVr8Pbbb+Obb77BJ5980l4J+89//jPCw8OtbuPqv6WOXn75ZUyePBn79u3DsWPHsGXLFhiNRoSEhGDWrFm46aabcP3111tM4fH9XtBbN9xwA1JTU/H+++9j79692LNnD+RyOSIiIjBv3jwsW7bM5THYQ3C1IA4hhDjdnj17cN111+Gxxx7DCy+8wHc4hBAfQ2tiCCF9duXKFatjdXV1ePHFFwGgx9EHQghxBE0nEUL67K9//StOnjyJ8ePHIyQkBOXl5dixYwfq6+tx1113OVQMkBBCekJJDCGkzxYvXoyKigps3boVDQ0NkMvlSE5Obt86TAghrkBrYgghhBDilWhNDCGEEEK8EiUxhBBCCPFKlMQQQgghxCtREkMIIYQQr0RJDCGEEEK8EiUxhBBCCPFKlMQQQgghxCtREkMIIYQQr0RJDCGEEEK8EiUxhBBCCPFKlMQQQgghxCtREkMIIYQQr0RJDCGEEEK8EiUxhBBCCPFKlMQQQgghxCtREkMIIYQQr0RJDCGEEEK8EiUxhBDiA/71r38hMDAQTz31FN+hEOI2lMQQQoiXO3LkCL788ksMHz6c71AIcStKYgghxIs1NDTg3nvvxXvvvYfAwEC+wyHErSiJIYQQL/boo49i+fLlmD59Ot+hEOJ2Yr4DIIQQ4pg1a9agqKgIH3/8Md+hEMILSmIIIcQL5efn4+WXX8bWrVshkUj4DocQXgg0Gg3HdxCEEELs8/XXX+Ohhx6CSCRqP8YwDAQCAYRCIcrLyyGTyXiMkBDXoySGEEK8kEajQXl5ucWxhx56CAkJCXj88ccxbNgwCAQCnqIjxD1oOokQQrxQYGCg1W4kpVKJoKAgpKSk8BMUIW5Gu5MIIYQQ4pVoOokQQgghXolGYgghhBDilSiJIYQQQohXoiSGEEIIIV6JkhhCCCGEeCVKYgghhBDilahODCHEpTiOg9ZoRJPBAL3JBCPDwGhmYGKY1v9nfvt/E8PAaDbDyDAwsywAQCQQQCgQQiQUQCgQQCQU2vyvWCiEUiqBSiqFSiqFssN/hVT0jRCfREkMIcQhDMuiQa9Hk96ARr2+wz8DGg2//X+TwQDmakLCBwEAhUTSntSopFKoZFL4yWQYoFRigEqJEJUKwUolxB1K+BNCPB/ViSGEdIvjOORWVqFa24zqZi2qm1v/W9fSApbznbcPAQB/uRzBKhWCVUoEK5VX/7/15wC5nMr4E+JhKIkhhPTo6YzN0JlMfIfBK5lYjOiAAAwMDGj/b4S/P8RCWlpICF9oOokQ0qMwtRql9fV8h8Erg9mMotpaFNXWth8TCQSI8PdDdEBga3ITGICBAQGQSyQ8RkpI/0FJDCGkR5TE2MZwHC43NOJyQyMOX2w9JgAQrFJhcPAAJIQEY2hIKELUKl7jJMRX0XQSIcRCs1aL/KIiVFRVoVmrhVbbgkssg1oFfRA7KlChwJCQYAwJDcGQkBCEqtV8h0SIT6AkhhBiIevQYRw4chhKhQLCq+s9msQSlKvog9dZAhWKq6M0IRgSSkkNIY6i6SRCiIWBkZEABO0JDABIWYa/gHyQRqfDsUtlOHapDEBrUjM8IhzDIyOQGBoKCW31JqRXKIkhhFgIHhAEUacdN1KWBTgOoC3GLqHR6bC/uAT7i0sgFYmQFBaK4ZERSI2IhJ9cxnd4hHgsSmIIIRbUKhUknXbXCABIWBYmGiFwOSPD4EzFFZypuAIBTiI+OBgjoiMxIioKA5RKvsMjxKNQEkMIsSAQCKBWKaE3GCyOSymJcTsOQGFtLQpra/Hj6RzEBAZiZHQUxsQMpISGEFASQwixQaVS2UhiGGhB9U/4dEmjwSWNBpvPnkNCSAgmDIrFyOgoyMT0Vk76J9qdRAixsnX3bhQUF1ss7tVIpKhU0jZrTyMTizEyKgoTBsUiISSYWiOQfoWSGEKIldNnz2LHvn1QyOXtx1pEYlxS+/EYFelJsFKJcbExGD8oFsEqSjiJ76MxSEKIlciICDCM5bZq2mbt+WpbWrA19wK25V5AQkgwxg+KxajoaEhpuon4KHplE0KsBPr7Q9zpg0/McRByLFgBNTz0dByAgppaFNTU4qczOZgcF4dpCfEIVCj4Do0Qp6IkhhBiRSKRQClXgOVYi+NShoVeTEmMN2kxmrAzLx+78wuQHh2NmUMSMGhAEN9hEeIUlMQQQmxSq1RobG6yOCZlGejpbcMrsRyH42VlOF5WhsHBAzBzSAJGREVBSAuBiRejdyNCiE1qlQoNTY0Wu12kLNvNLYi3KK6tQ3FtHQYolZieEI9JcYMgl9D2eeJ9aHcSIcSmzEOHcPzUKYvqvdQI0jfJxGJMGBSLOUOHIlBJ62aI96DJbUKITTGRUTAYTRbHaIeSbzKYzdhXWIRXtu/AdydPoUGn5zskQnqFppMIITbZagQpoUaQPs3MssgsKkZ2SSmmxA/G3MREakBJPBolMYQQm2w1ghSCGkH2ByaWxa8FhThQXIJpCfGYM3QoVDIp32ERYoWmkwghNgkEAqhU1k0GaXFv/2FkGOzKy8dL27Zj89lzaDEa+Q6JEAuUxBBCuuRnYxEvrYvpfwxmM7ZfyMPL27bjl3PnoTOZer4RIW5ASQwhpEsBfn5g2c4F7yiJ6a90JjO25l7AK9t2IKuoGCxHm1sJvyiJIYR0KTI8DIZOUwg0nUS0RiP+d/IU3tr9KwpravgOh/RjlMQQQrpEjSBJdy43NOA/+7Kw5vARaFp0fIdD+iHanUQI6RI1giS9cbzsMnIqrmBuUiJmDx0CCe1eI25C70KEkC61NYLsTMrQlBKxZGQYbDl3Hq/t2IVTl8v5Dof0E5TEEEK6pVKprI7RlBLpSm1LCz4/dBjvZ+5HRWMj3+EQH0dJDCGkW34qFbhOu1BocS/pSV51Nd7ctQebz56DmV4vxEUoiSGEdCs4eADMZrPFMdpmTXqD5Thsv5CHt3b/ikv1Gr7DIT6IkhhCSLeoESTpq4rGRvzr173IyDkHMyXAxIkoiSGEdKvbRpCE9BLLcdiZl4d/7P4VpXX1fIdDfAQlMYSQbqlVKoglltus2xpBEmKvK01NeGfvPmw8kwMTjcqQPqIkhhDSLYFAAD+bO5QoiSGOYTkOu/ML8OauPSiureM7HOLFKIkhxIdwHAcdw1rtJuorNTWCJC5Q1dyMf+/dh5/O5NAOJuIQqthLiBfiOA56loOW5dDCsNAyLFpYDlqGBQtgnJ8cKpHAaffnp1ahqqYawg5rY2iHEnEGDsCe/AIUVNfgzgnjEGJj1I+QrlASQ4gXMHMcGs0sGswMGhkWjWYW3aUQLQwLlch5A63RERE4l5cHhVzefoymk4gzXdJo8NbuPbhl9CikR0fzHQ7xEpTEEOKBdAyLhqvJSoOZgZa1b3qoxc7r94QaQRJ30JnM+OLQEUyNr8F1aakQUw8m0gNKYgjhGctxaGpLWBgWjWYGxj7mIC1O7m0U6O8PsYgaQRL3yCoqRkltHe6cMA6hauv1WIS0oSSGEB40mVnUmhnUmxg0XV3H4kw6J4/ESCQSKBQKcJxlpFKGhV5MSQxxvrKGBvxj96+4ZXQ6Rg8cyHc4xENREkOIG7Ach3ozi1oTg1oTA4OLC8W1uGC9ip9KhcbmJotjUpaBnt5GiIsYzGasOXwU+dU1+N2INEhoeol0Qu8+hLiIieVQa2ZQY2odcXHnChIzBxhZDlKh83YoqdVqNDQ1QiD47Zy0uJe4w4HiEpTW1eGuCeNpeolYoHFgQpyohWFxUW/CiSY99jfqkNtiRI2bE5j2WJycYAQPCKJGkIQ3lxta+y/lV1fzHQrxIJTEENJHjWYGhTojDjXqcLhJjyK9CQ1OXljriBbGuVNWAyMjqREk4VWL0YQPsw7gQHEJ36EQD0HTSYQ4wMhyuGI044rR7PTtzM7i7JGYkAEDum4EKXDetBUh3WE4Dv89cRJXmppwbVoqhPTa69coiSGklziOQ62ZxRWjGbUmBp6ZuvxG5+TRoO4aQZpowSVxs70FhahuasbK8WMhl0j4DofwhKaTCOlBC8OiUGfEwUY9crQG1HhBAgM4v+CdQCCAmhpBEg9yrrIS7+zNRK1Wy3cohCeUxBBiA8NxqDCYcaJJj8NNelwymGF08bZoZ9OxHFinN4K0lcTQuhjCn4rG1gW/xbW1fIdCeEBJDCEdNJgZ5LYYcKBBhws6o0cs0O0LZxe981erwXYaeaEkhvCt2WDEe5n7ceTiJb5DIW5GSQzp9ziOQ6XRjCONOpxoNuCKkZ8t0a7g7PYD0RERMBiNFsekXp7oEd9gZlmsO3oMW86d5zsU4ka0sJf0WwzXusPoksEMvYfuMOoragRJ+pttuRegNRpx/cgRtHOpH6AkhvQ7JpZDudGMMoMJJt/MXdrpnLzolhpBEm+QVVSMFqMRt48dY1UWgPgWSmJIv2FgWZQZzCg3mH1muqgnzi54J5FIoFQowFIjSOLhjpddRovRhD9MHA+pmD7qfBW96xCf18KwyG0xILuxdZdRf0lgANc0gqQdSsRb5FZVYU9BId9hEBei9JT4rEYzg4sGM2pM/fcD1hWNIFUqJTWCJF4hNTICcxOH8h0GcSEaiSE+p9HM4FSzHsebDf06gWnj9PYDwcHUCJJ4vKGhIbhr/DhaE+Pj6LdLfIaeZXFOa8DxZgPqzTQy0MY1jSA7bbOm6STiQeIGBOHeSRMhpnYYPo+mk4jXM3McLupNKDOYQamLNVc0ghRSI0jioVQC4I+TJ0FGi3n7BfotE6/Fca1bpUv0vr9Vui9c0QhS0qnhHjWCJJ5AwpjxwIzpUEqlfIdC3ISSGOKVak0MCnVGpxdz80WuaATpp1JBbzBYHJdSEkN4JGIY3DdhImLCwvgOhbgRJTHEqzSZWRTqjdDQmpde019tBOnM6qVqldpGEsNAC0kXtyDEdYQsg7vGjEJi7ECHz2EwGGA2m6GyUUKAeC5a2Eu8goFlcV5rwLFmPSUwduLg/EaQfmoVNYIkHkHIslgxPAVp8fEOn8NkMuHo0aM4fPgwmpubnRgdcTVKYohHYzgOxTojDjXqUUnbpR1GjSCJLxKwLJYPScD4YcMcPofZbMaxY8fQ3NwMo9GII0eOoLGx0YlREleiJIZ4rAYzg6NNepTSrqM+o0aQxOdwHObFDMTM9JEOn4JlWZw4cQINDQ3tx9oSmY7HiOeiJIZ4HIbjkN9ixIlmg9OnQfordzaCJMTlOA7Tw8KweMJ4h09RUlKCo0ePoq6uzuoys9mMo0ePor6+vi9REjegJIZ4lHoTgyNNelw2mnu+Muk1VzWC7IymlIjLcRzGBgXi+mlTHD5FcXExjh071m2S0jbNVFtb6/D9ONMnn3yCyZMnIyYmBjExMZg3bx62bdvGd1i8oySGeAQzx+FCiwGntAboafTF6agRJPEVqWoVfj97lsO3v3z5Mo4dOwa1Wt3jdRmGwfHjxz1iRCYqKgovvfQS9u7diz179mD69Om47bbbkJOTw3dovKIkhvCu1sTgcKMOFUb6AHSVtkaQzqRSKcFxluekRpDElYbIpLhn/jyHb19VVYX9+/fDz8+v17dhWRbHjx9HU1OTw/frDIsXL8a8efMQHx+PIUOG4Pnnn4darcaRI0d4jYtvlMQQ3phYDue1BpzRGmCkwReXo0aQxJvFiIR4eNFCi+7p9qirq8OePXsQEBBg923bppZ0Op1D9+1sDMPg+++/h1arxfjxjq8L8gWUxBBeVBnNONyko23TbkSNIIm3Cgfw+NIlDicwTU1N2L59OwIDAx2OwWAw4OjRozB2es2709mzZxEdHY2wsDA89thjWLduHYYPH85bPJ6AkhjiVkaWQ47WgHMtRup35GbO3qEUHBTUdSNIQpxkAMviyaWLrV5rvaXT6bBly5Y+JTBtWlpacOzYMasRSHcZOnQoMjMzsWvXLvzhD3/AAw88gHPnzvESi6egJIa4jcbM4GiTDjU0+sILZxe881Oru2wESYgz+DMMVi1dDKnEsXYWBoMBP//8MwICAhwexemssbERJ0+etKpY7Q5SqRTx8fFIT0/HCy+8gLS0NHzwwQduj8OTUBJDXI7jOJTqTTjZpKe1LzxyVSPIzmhxL3EGFWPGqsULIZfJHLq90Wh0egLTpra2FmfOnLFa2O5uLMvyOr3lCagBJHEpE8vhnFaPeoYDnPxGQuzjikaQKqWSGkESp5ObzXhq4QKolUqHbs8wDDZt2gS1Wu30BKbNlStXIJFIkJKS4pLzd/biiy9i/vz5iI6ORnNzM7777jtkZWXh22+/dcv9eypKYojLNJoZnG5sgVko4jsUgt8aQapEzntT9/fzQ3VtrcV6BVrcS/pCajbj8bmzEWTHNuiO2hIYhULh8Dqa3rp06RKkUimGDBni0vsBgMrKStx3332oqqqCv78/hg8fju+++w5z5sxx+X17MoFGo6EBfuJ0l/RGFLYYARe/iRD7DFdKESp13neX02fPYse+fVDI5e3HWkRiXFI79gFE+jcxY8b/TZuG2Ihwh27PcRy2bNkCgUAAkch9X55SUlIQExPjtvsjv6GRGOJUZo7DuSYd6lhQAuOBXNIIstMaGBqJIY4QMQz+OGFCnxKYHTt2tJ7LjQkMAJw7dw4SiQQRERFuvV9CC3uJEzUzLA7VN7cmMMQjuaQRZKfpwtZGkDTAS3pPyDK4c3Q6EmMdG83gOA6//vorjEYjxGJ+vpufPn3aY/os9SeUxBCnqDCYcLShBSZa/+LR3NcIkkZjSO8IWRa3pKRgREKCw+c4ePAgmpubrbb8uxPHcTh58iRaWlp4i6E/oiSG9AnDcTjbpMMFnYmmj7wANYIknkTAslg+JAETUoY5fI5jx46huroaUqnUiZE5xmw248SJE7wVw+uP6FOHOMzIcjhS34xqJ3+7J67TnxtBXrlwAbv+8w6+ffxRrLn7ThRkZXZ53YNrvsSau+9EztZfen3+yrw8rL3nbmx8/lmL4+Vnc/DjX1bhmwfvR+YnH4Hp8AFn0uvxw9OrUF9WZv8D8nYch3kxAzEzfaTDpzhz5gwuXboEeYeF5Xxrbm72iBoy/QUlMcQhzWYGB+saoafpI6/TXxtBmg16BEUPxPhbb4Oom2/tJUePoKa4CAo7ytQbtFpkffoJIodZ1gzhWBb7PvoIiTNnYeGzz6O2pAR5e39tv/zED99j8PjxCBo40N6H4904DtPCQrF4guPNCy9cuICCggIobExn8q2qqgpFRUV8h9EvUBJD7FatN+CIRgtOTAXNvFF/bQQ5cMRIjL7+BsSNHddlAbTmmhoc/uZrTLvvfgjt2OFy4IvPkTBlCkI7revQNzfD0NyE5NmzERQdjZj0UWgoLwcAVBcVofzsWYxYuszxB+WNOA5jgwJxw7SpDp+iuLgYOTk5UDpYDM8dCgoKUF1dzXcYPo+SGGKX/LoG5LSYIOBpBwDpO2oEaRvLMNj30WqMWLoMgVFRvb5d7u5d0DU22ExG5H5+UAQE4nLOWZgNBlTm5SEoJgYsw+Dgmi8w8Y6VEPG4GJUPw1VK/H72LIdvX15ejmPHjkGtVjsxKtc4ffo0tFot32H4NEpiSK8dv1KNy0IJBLSA16tRI0jbTv70I2R+aiTPmt3r29SXXcKpnzdi2r1/tFkdViAQYMYDD+J0xs/Y+PyzGBAbi6FTp+Hs1l8QMngwFP5++OX1v+OHp1fh5E8/OvPheKQEqQT3Lpjv8O2rq6uRlZUFPwer+bqb2WzGyZMnwXjg9KqvoK/TpEcsx+FgeRVMKu944yDdc1UjSOseSixMbi465qgruedRsD8Ly158ude3YUwm7P3wQ4y96Wb4hYZ2eb3wxEQs+esL7T83VlYib+9eLH3xRWz/xz+QNGsW4saNx6ZXXkLI4MEYODK9Lw/FYw0UCfHI4kUO9zKqr6/H7t27EWjHWiVP0NzcjHPnziEtLY3vUHwSJTGkW2aWRdblSsAvgO9QiJO4ohGk2mYS4z2NIK/k5kLX0IBvH3+0/RjHsjj+v29xfsd23PjPt61uo2vQoKGiHPs//wz7P/+s9TYcB3Ac1t5zN+Y8+jiiU1Otbndw7ZcYc+ONgECI2tISxE2YCIlMhpj0dFScP++TSUw4gCeWLnE4gWlqasL27du9LoFpU15ejsDAQGpN4AKUxJAu6UwmHLhSCxElMD7FFY0g/dRqVNXUeG0jyKTZczBo7DiLYzv+9RYGT5iIxOkzbN5GGRiEZS//zeLYhT27UX72LGY9/AjUISFWt8nPzIRYJkPcuPEwtrSuleAYMwAZWLP3PF/2GMCyeHL5UoebMep0OmzevNlrE5g2ubm5CAgIgL+/P9+h+BRKYohNmpYWHK1vhtiP/uB8UQvDQiVy3tqm6IgInMvLs2gEKXXy2pu+Mun1aKqqBNA6YqKtq0PdxVJIVWqog4Oh6PThIhSJoAgIQEBkZPuxzE8+BgBMu/c+CMViq63Rcj8/iCTWxwFA19iIUz//hIV/aa0jI1WqEBgdjbNbtyJ2zFiUHD2C8bfe5tTHzDd/hsGqZUsgdXDxssFgwM8//4zAwECHR3E8BcuyOHnyJCZNmsRrZWFfQ0kMsVKhacRZvQlileev/ieOcfa6mIjwcI9vBFlbUoxtb77R/vPJn37EyZ9+RMKUKZj6h3t7dQ5tneO9cQ5/8zWGL7gGqgED2o9N/cO9yPrsU5zftRMJk6dg0JixDp/f0yjNZqxasghymcyh2xuNRvz8888ICAjw+gSmjU6nQ05ODkaNGsV3KD5DoNFovGsfJHGpi9U1yOdEEEkde+Mh3iFCKkKy0nm/Y5PJhHc//QxyueU58/0DwfrIBxDpPbnZjKcXLkCQg7uIGIbBxo0boVAoHJ6G8mTJyckYNGgQ32H4BN97dRCH5ZeVI48VUgLTD1AjSOIqUrMZj82d3acEZvPmzZDL5T6ZwABAfn4+NYp0Et98hRC7nS4oRKlYDrHMc3qQENdxRSNIFTWC7PfEjBmPTJ+GiA5TZvbgOA5bt26FWCyGyEu25zuCYRjk5ORQfyUnoCSG4HDOWVSpAyH2oCZqxLVc0QhS7SWNIIlriBgGf5wwAbER4Q7dnuM47Nixo/VcPpzAtKmvr8fFixf5DsPrURLTz2WfPoOG4HCI5Z7XRI24Vn9tBEmcT8gyuHN0OhJjHa+DsnfvXhiNRoj7UUuT/Px8akvQR5TE9GOHcnLQFBIJicJzm6gR1+mvjSCJcwlYFjelpGBEp+aX9jh48CCampr63dZjhmFw9uxZmlbqA0pi+qkjOefQOCAcEg/uAktcixpBkr4ScCyWJcRjUsowh89x7NgxVFVVQSqVOjEy70HTSn1DSUw/dPzcedQHhUCitF6ISfoPtzWC5GhdjE/iOMwbOBCzR6U7fIozZ87g0qVLkPfz9Xg0reQ4SmL6mRPnclHjHwwpFbLr91zRCFJtIzH2tMq9xAk4DtPCQrF4wniHT3HhwgUUFBRAYWNrfn9Du5UcR0lMP3Iy9wKq/YIgVVMCQ35rBOlMfmraZu3zOA5jAwNww7SpDp+iuLgYOTk5UNJ0djuNRkPTSg6gJKafOHMhD5WqAEgdLEBFfE9bI0hn8lOrwXp4+wHSN8NVSvx+zmyHb19eXo6jR49CTV+mrNC0kv0oiekHzl64gEsiGWTUzJF04ux1MdEREdY7lGg6yWckSCW4d8F8h29fXV2NrKws6uTcBZpWsh8lMT4ut6AABUYWypBQvkMhHsjZIzER4eFgGBqJ8UUDRUI8sniRw80YNRoNdu/ejYCAACdH5ls0Gg1KS0v5DsNrUBLjw/IKCpBTXY+AGGo0RmxzdsG7oIAAq2JlYo6DkL5ZerUwAE8sXeJwAtPU1IStW7ciMDDQqXH5Kuqt1HuUxPiowpISHC25hODkFL5DIR7MJY0gbWyXpcq93msAy+KppYsdbsao0+mwZcsWSmDswLIscnNz+Q7DK1AS44Oqampw4MxZRIwa6/A3J9I/UCNI0h0/hsGqpYshdbCSrsFgQEZGBgICAui9yE7V1dWoqanhOwyPR0mMj2nWarE1MwtR4ydD2A+aqJG+oUaQpCtKsxmrFi+EXCZz6PYmkwk///wz/P39KYFxUG5urtVuP2KJkhgfYjKZkLFjJyLGToTIwTce0v9QI0jSmdxsxp+vmQ8/B+u4MAyDjIwMqNVqSmD6QKvV4tKlS3yH4dEoifERLMtiy85dCEgZASltpSZ2cPa6GJvbrGk6yWtIGTMemzsbQQ5ug2YYBps3b4ZcLnd4HQ35TUFBAYyd/p7Ib+gV5iP2HTgILnIglGHhfIdCvIyzG0GGDBhAjSC9lJhh8Mi0aYgYMMCh23Mch23btkEkEkFE09lOYTabUVBQwHcYHouSGB9w8kwOqiBCYFw836EQL+TskRhqBOmdRAyD+yaMR2yEY1+EOI7Djh07wHGc1TZ70jeNjY20NqYL9ErzciUXL+Jc+RVEjp/EdyjESzl7TUxbI0iD0WBxXMqwMAnp27knErIMVo5OR1JsjMPn2LdvH4xGo1UCSxwnl8sxdOhQREZG0tqiLlAS48Vq6+rw65FjiJ0xm17gxGFtjSCFTnwN+alVMNR1SmJYBlrQB5ynEbAsbkoZhpEJCQ6f4+DBg2hsbIRUKnViZP2XSCTC4MGDERcXR9NyPaDpJC+l0+mQsX0HIsdOgFBMHwzEcdQIsv8ScCyWJQzGpBTHi2IeO3YMVVVVlMA4AcdxaG5uBgAkJCRQAtMLlMR4IbPZjJ+3bkNQUgpkAYF8h0N8gLMbQUZRI0jPx3GYN3AgZo8a5fApzpw5g0uXLkFuo0ozsY/BYEBtbS2amppw4cKFLnckmWltjAVKYrwMx3HYunsPWLUf/GkhL3ESZ4/ERFIjSM/GcZgaGoLFE8Y7fIq8vDzk5+dDoVA4MbD+x2w2o76+HvX19WhqaoJKpcJNN91kNbLFchzW5uQg/YsvkF9Xx1O0nofWxHiZoydPokqjwaCZc2kdDHEaZy/uDfT377IRJEuvW35xHMYEBODG6dMcPkVxcTHOnDkDtVrtxMD6F5Zl0dzcjJaWFuj1eiiVSsybNw/x8fFW7+17L17Es/v2IedqG4K/ZmVh/bJlfITtcSiJ8SJXqqpw4kwOYqfOhEhKFXmJ8zh7m7VUKoVCLrNuP8Aw0NP2W14NVylxx9zZDt++vLwcR48ehb+DxfD6O47j0NLSgubmZhiNRgiFQowZMwajRo2yWgOTX1eH5zIzsa242OL4L0VF2F9WhikDB7ozdI9E7yZewmg0YtuePQgblgr5gGC+wyE+xhWNINUqNZqamyyOSVkGenrb4U28VIJ7F8x3+PbV1dXIyspCQECAE6PqP/R6PZqammAymWA0GjFkyBBMnToVsk5tYup0OryWnY0vzpzpcg3M85mZ2HXLLf1+RJ7eTbwAx3HY/uteSPwDEZAwlO9wiA9qawQpFTrvDVGtUqKxqdHiTZYaQfJnoEiIPy1e5PCHnkajwe7duxEYGOjcwPoBk8mExsZGGI1G6PV6REREYNasWVbJoJFh8NHJk3jr8GE0GAxdnK3V8cpKbMzPx7WJia4Mvd2//vUvZGRkoKCgAFKpFGPHjsULL7yAlD7sbHMGWtjrBc6cO48rtXUIGzUWAupFQlyEGkH6rjAATyxd4nAC09TUhK1bt1ICYyeGYaDRaFBbW4vm5mZIpVIsWbIE1157rVUCszE/HxPWrsXzmZk9JjBt3jh0CKyb2nlkZWXhD3/4A7Zt24aff/4ZYrEY1157Lerr691y/10RaDQaamjiwWrr6vDDpi0YOHEKFNQXibhQkkKKSJnzBmeLSkvxXUYG1CpV+zGDUIgSP5qKcKcglsUzy5dC6mAlXZ1Oh59//hkBAQH9fuqit1iWhVarhVarhclkglgsxtixYzF8+HCr5/BEZSWe2bcPBy9fdui+Pl+4EL9LSnJG2HZpbm5GbGwsvv76ayxcuNDt99+GppM8mNlsxi+7diN4aBIlMMTlnD4S010jSPowdAs/hsHTy5Y4nMAYDAZkZGRQAtNLHMdBp9OhubkZJpMJDMNg2LBhmDhxotVuvctNTXhp/378LzcXfRlJ+Mfhw7g2MdGpFbd7o7m5GSzL8j46R0mMB9uduR+cXIGgpGS+QyH9gDsbQZoEVInU1ZRmM1YtWQS5zLGdjCaTCRkZGfD396cEphcMBkP7ol2DwYCYmBjMnDkTSqXS4npakwnvHD2K948dQ0un6VZHnK+txU95eW4fjXn66aeRlpaG8eMdrzXkDJTEeKjcggKUlF1C3My5EFDTPOIG1AjSd8jNZvz5mvnw6/QB2lsMwyAjIwMqlYoSmB6YzWY0NTXBYDBAr9djwIABWLx4MUJDQy2ux3Icvj53Dq8eOIArWq1TY3jz0CG3jsY888wzyM7OxtatW3lvjUBJjAdqbGpC1sFshCWnQOpHtRiIe1AjSN8gZcx4bO5sBDlYx4VlWWzevBlyudxqOpD8pmOxOoPBAIVCgTlz5iAhIcEq8dt36RKe3bcPZ6qrXRJLbl0dfszLw/VuGI35y1/+gh9++AEZGRmIi4tz+f31hJIYD8MwDLbs3Am5fyD842k7NXGftkaQKpEzkxg1qmpqLD4Mqf2A64gZBg9Pm4qIAQMcuj3Hcdi2bRtEIhHv37A9VedidQKBAKNHj7ZZrK6gvh7PZWZia1GRy+N689AhXOfi0ZhVq1bhxx9/REZGBhLdtLW7J5TEeJis7ENobtZi4OTpENKbCHGzFoaFSuS8b99RERE4l5cHRYcGgdQI0jVEDIN7J4zDoIgIh27PcRx27NgBlmWtFqGSVr0tVlev17cWqzt9GiY31Ua6UFeHHy5cwA3JrllD+eSTT+K///0v1q1bh8DAQFRWVgIAVCoVr+0n6JXqQS5XVOBCQQGC44dAHhzCdzikH6JGkN5JyLK4Y9RIJMfGOnyOffv2wWg0Wi3GJraL1c2cOdNqZ46JYfDRqVN469AhaHpZ68WZ3jp8GNcnJblkHdOnn34KAFi+fLnF8VWrVuEvf/mL0++vtyiJ8RAMw2BP1n4o1H4ITOK3AiLpv6gRpPcRsCxuTElG+pAhDp/j4MGDaGhosBpR6O8YhkFTUxP0ej0MBgPUajXmzJmDmJgYq+v+XFCAF7OyUKTRuD/Qq3Lr6rCjpATzBw92+rk1PD6u7lAS4yEOHTsOnV6PqDHjIerUgp0Qd6FGkN5FwLFYGj8Yk/tQ+v3YsWOoqqqCvMOUX2c//vgjNmzYgAULFuDuu+/u8nonT57Ed999h0uXLkEikSApKQm33XYboqKiALR2v169ejUqKiowfPhwPPTQQ+1TESzL4rnnnsPNN9+MkSNHOvx4nMFWsbpJkyYhNTXVapTjZFUVnt27F/sdLFbnbO8eO+aSJMZT0dJzD1Cv0SAnNxcBkVFQRVFXUsIfVzWC7IymlJyA4zA3OhpzRo9y+BRnzpzBpUuXuk1g8vLysGvXLsT2MFVVVVWFt956C8nJyXjjjTfw3HPPwWg04vXXX2+/zkcffYThw4fj9ddfR0tLC3788cf2y3755RdERUXxmsC0Ldqtqalpnz5KTk7GbbfdhrS0NIsEpry5Gfdv24ZZ33zjMQkMAGSWleFkVRXfYbgNJTE84zgOO/dmQiaTIyglje9wSD/X1gjSmfzUKqtj1AiyjzgOU0ODsWTiBIdPkZeXh/z8fCgUii6v09LSgvfeew/3339/j4s3i4qKYDabceuttyIiIgJxcXFYvnw5Kisr0djYCAC4fPky5syZg6ioKEyZMgWXr374V1dX45dffsEdd9zh8OPpK4PBgNraWjQ0NECr1SIiIgK33XYbpk6darFOSGsy4e8HD2Lsl19iw/nzfaq26yrvHTvGdwhuQ0kMz3LOn0e9ph5BiUmQKK3f7AlxN2ePxgwICoKJGkE6D8dhTEAAbpw+3eFTlJSU4MyZM1Cpun/P+fjjjzFhwgSkpqb2eM6EhASIxWLs2rULLMtCp9Nh3759SEhIgP/VmjWDBg3C6dOnwTAMcnJy2kd3Pv30U9x0003t13Mns9mM+vp61NfXo7m5GSqVCr/73e+waNEii2q7LMdh3dmzGPvll3jz0CGnVNt1lZ/y81He3Mx3GG5Bk9I80un1OHziJPxCQ+E3KJ7vcAgBAOgYDoFOfGcYGBmJ7KNHIemwBoamkxyXolLijrmzHb59eXk5jhw50mPCsGvXLly5cgUPP/xwr84bGhqKZ599Fm+//TY+//xzcByHuLg4i50rf/zjH/HZZ59h06ZNSEpKwrXXXov9+/eDZVmkpqbijTfewOXLl5Geno477rjDpVu9Oxerk8vlmD17NoYMGWK17iXzarG60y4qVudsZpbFZ6dO4fkpU/gOxeUoieHR7sxMCAUCDEgZAQFVxiQeghpBeq54qQT3LZjv8O1ramqQlZWFgIDuO4mXl5dj/fr1ePnll3udSGg0Gnz00UeYPn06pkyZAp1Oh//9739455138Pzzz0MoFCImJgYvvvhi+22am5uxfv16PP/88/jyyy8RFxeHJ554Aq+++ip27dqFBQsWOPxYu9KxWJ3JZAIAjBo1CqNHj7YqVld4tVjdL24oVudsX+bk4KkJEyD38QX0vv3oPFhxaSkul19ByNBEyAKD+A6HkHauaATZ+YOQGkHab6BQiD8tXuRwDRCNRoNdu3b1qutwXl4empqa8MQTT7QfY1kW58+fx44dO7B27VqrejLbtm2DTCbD7bff3n7s4YcfxoMPPoi8vDwk2yjC9tVXX2H+/PkIDw9HTk4ObrzxRojFYkycOBE5OTlOT2LsKVb3enY2PndjsTpnq9Xp8G1uLu7oxVSgN6MkhgcmkwmZ2YcgVyoQkOAZpZsJaeOKRpB+KjU1guyDMHB4fOlihxOYpqYmbNu2rVcJDACMGzcO8fGWU9wffvghIiMjce2119ocnTEYDFYjbm0/szZeUzk5OSgtLcV9990HoHWEhLm6VspsNtu8jaNMJlN7k0aDwYDw8PAui9V9cuoU3uSpWJ2zfXzyJCUxxPkOHD4Ck8mEkOThEFFxKeJhqBGkZwliWTy1fKnDvYx0Oh22bNnS4xRSRyqVymrRr1wuh1qtbl+M+80336CwsBDPP/88AGD06NHYsmULvvvuu/bppA0bNiA4ONgqITIajfjss8/wyCOPtD+u5ORk/PLLL1i6dCl+/fVXTO/DwuU2DMOgubkZOp0Oer0efn5+XRar21RQgBeyslDooUXdHJFTU4MTlZUYFR7OdyguQ0mMm1XX1iK3oAAqf3/4xdFiXuJ5XNEIUk2NIB3ixzB4etkSSB1sBWAwGJCRkYGAgACnl6LXaDTt/XMAIDU1FY888ggyMjLw888/QyqVYujQoXjmmWes6tB89913GDVqlEVyc+edd+K9997Dc889h9GjR/dpKollWbS0tECr1cJoNEIkEmHy5Mk2i9WdqqrCs/v2IauszOH782Rf5eT4dBIj0Gg0nrjN3SdxHIf//vgTDEYjBqSkwS82ju+QCLEpVSVFiMR533FOnj2LXfv2WTSCbBGJcUnt57T78DVKsxnPLFkEvw7bfO1hMpmwceNGqNVql/TS8UQcx1msezGbzUhJScGECROs1vBUNDfj5f378d/cXLCc734M+kuluHDffVD46AJf33xUHio3vwCNTU1QBw2AeqDjjdoIcbUWhoMzZ3qiqBGkXeRmM/58zXyHExiGYZCRkQGVStVvEhij0YjGxkaYTCbo9XrExsZixowZVtNiLSYT/n30KN47fhzaq7uTfFmj0YiN+fm4ZdgwvkNxCUpi3IRhGBw5cQJyuRwBQ5NoSzXxaNQIkj9SsxmPzp6NIAcLv7Esi82bN0Mul1sttPVFZrO5fdGuTqfDgAEDsGjRIoSFhVlcj+M4fHPuHF49eLDfFIJr81VODiUxpG9O5Zxt7YIaEgplRBTf4RDSLWoEyQ8xw+Ch6VMRGTLAodtzHIdt27ZBJBI5vBDYW3QuVqdQKDB79mwMHTrUavQpq6wMz+7bh1P9qKdQR/svX0aRRoP4Xu5O8yb07uEGJpMJp8+dg0wmQ2Bicr8Z3iXey1WNIJuamyyOSVkGenobAgCIGAb3ThiHuIgIh27PcVx7yX9XVrrlW+didRzHdVmsrkijwfOZmdhcWMhTtJ5j3dmz+KsPVvD13Ve6Bzl8/DjMZgZ+EaFQhIT1fANCeNbWCFIqdO42a+skxjsLiTmbkGVxx6iRSO6hU3R39u3bB51OB6lU6sTIPEvnYnUJCQmYOnWq1e4njV6PNw4dwqenTnltsTpnW3/uHJ6dNAkiH5tipCTGxXR6PXLzCyCVShCY6JtzksQ3tbAspE4sRjcgKAilZWWWPZSoESQELIsbhyUhfcgQh8+RnZ2NhoYGq8qzvqJjsTq9Xo/w8HDMmjXLZrG6T0+fxpuHDqFer+cnWA9VodViR0kJron3rdIelMS42P5DhyEQCKEIj4QsIJDvcAjpNWoE6XoCjsPS+MGYPHy4w+c4duwYKisrrUYjfEHHYnUGgwEqlQqzZ89uL7jX0ebCQryQlYWC+noeIvUO3+bmUhJDeq+xqQlFpaWQy+UIHJrEdziE2IUaQboYx2FOVCTmjB7l8ClycnJw6dIlKBQKJwbGv47F6gwGQ3s/pdTUVKvX0OmrxeoyfbRYnTNtKy5Gi8kEpYPFEz0RJTEulJmdDalEAnV0DCQqNd/hEGIXagTpQhyHKaHBWDpposOnyM/PR15enlUdFG9mq1jdsGHDMHHiRKtidVe0Wry8fz82nD/v08XqnElrMmFrURF+l+Q7X6opiXGR6tpalF2ugEIhh9/gBL7DIcRu1AjSRTgOowP8cVMfegOVlpbi9OnTUKt958tR52J1MTExmDlzps1ide8eO4b/HDvWL4rVOdsPeXmUxJCeZR7MhlwugyIsAhKl73xTIv0HNYJ0jWFKBe6YM9vh25eXl+Pw4cPwd7AYnqfpWKxOr9cjMDCwy2J1G86fx98OHMDlflaszlkEAJqMRnAc5zOlPiiJcYGyy+WorqmBQqGgJo/Ea1EjSOeLl0rwx2sWOPwBUlNTg6ysLLs6UnuqzsXq5HI5Zs2aZbNY3f6rxepO9tNidX0hADAhKgrXDh2KZUOHIsqHRu8ASmKcjuM47D98GHK5HNKAQMiDHKu8SYgn0LEsVCLn1ZWIiojA+bw8i0aQUqZ/1PGIFgrwp8WLHE5gNBoNdu3aZbWt2NvYKlaXnp6OMWPGWBWrK75arG4TFauz20ChEPEchwenTsU1Y8bwHY7LUBLjZGXl5dA0NNAoDPEJ1AjSOULB4YmlSx1OYJqamrBt2zavT2DsKVb35qFD+PT0aRipllCvDRQKkSwSIVEkgp9QCI7jcKmoCKAkhvTWkROnIJfLIZIroAxzrHw4IZ7CFY0gO3/b9vVGkEEsgz8vX+ZwLyOdToctW7Z49RSSrWJ1M2fORFBQkMX1zCyLT0+dwpuHDqGOitX1SAAgulPi0hHDMCguKwPDMD7bS4uSGCeq1zSguqa6dRRm0GDqVE28nisaQSoV8n7TCNKPYbBq6WJIHazLYTQakZGRgYCAAK9ciGmrWN2sWbMwaNAgq+tuuVqsLp+K1XWrY+KSJBZD3el1YTaboTcaMSAgAMMSEjA5Pd0qgeE4QMsIoBZ7/9Z033vX4NGhY8cgk8kgEIuhHhjDdziE9Jm7GkFKfLARpNJsxqoliyzW/9jDZDLh559/hr+/v9clMBzHQavV9qpY3Znqajy3bx/2XrrEU7SeT4DWqaKkHhKX4MBApAwZgsnp6QgdYLkek+OACr0QhVoRirQiyIXAzTHeP9rlW+8aPNLp9SgrL4dUKoV6YCyE4v6zZZT4Llc0glSrlFZJjIxl0dTF9b2RzGzGn6+ZDz+l0qHbMwyDTZs2QaVSeVUCY6tYXXJyMiZNmmRVrK5Sq8UrBw7gm3PnqFidDW2JS7JIhMQeEpfhQ4ZgUo+JixgtzG/naGGABpMAARLvfu4piXGSoydPQSAQAgIB/GIH8x0OIU7j7EaQwUFBuHj5ss82gpSYzXhs9mwEOVjHhWVZbN68GTKZzGrUwpN1LFZnMBgQHR2NGTNmwM/Pz+J6OrO5tVjd0aNopmJ1FpyVuJRfTVyKOyUunRVpRRgVaHbFQ3EbSmKcgGEYFBYXQyIRQxkeCbGP9TEh/ZvTG0FGRSH72DGLJEbigmkrPogZBg9Pn4rIEMdKK3Ach23btkEkEnnNQkx7itX9NzcXr+zfT8XqOnB24lKkFUPXTeLSUTElMQQAzpw/D5PJBJlMRtuqic9xRyNIKct4fSNIEcPg3gnjEBfh2K5EjuOwa9cusCxr1WPKE3UuVieTyTBz5kwkJiZaTIF98skneP+TT3Dx4kWwLAuEhQHTpwOJiV2fvLIS2LIFuHwZUChatwjPmPHb66OwENi8GWhuBpKTgWXLgLbnzGAAPvoIuPlmIDzchc+A4wQAYq6ucbGVuJjMZhg6JC6TR41CSKedXGynqaLeJi4dVRqE0JoFUHnxAl/P/0vxcBzH4VzuBchkMsiCBkAWEMh3SIQ4FTWC7JmQZfH79JFIjo11+ByZmZnQ6XSQSqVOjMz5bBWrGzlyJMaOHWuzWN235eUoGTcOWLCgNVE9dQrYsAG47z7AVsKn1wNr1wKDBgH33gvU1AAbNwJSKTB5MsCywPffA1OnAkOGAN9+Cxw7BkyY0Hr73buB1FSPS2DaEpe2ERdVHxKXgmYRilscS1w6R1WsFSE1wHtHYyiJ6aOSi5fQpNVCIZfTWhjik6gRZPcELIsbhyVh1NAhDp8jOzsbGo0GMpnMiZE5X8dFuwaDAQkJCZg2bZrNYnX/OHwYn5w6BWNAANCxxs2cOcCRI0BZme0k5swZwGQCrrsOkEhak5GaGuDgQWDSJKClpfXfuHGtlycltV4OtJ6zsBC4/34XPgu9Z0/ikjp0KCalp9tMXMr1QhQ6LXGxVNxCSUy/duz0achlMgglEig6zQET4guoEWTXBByHJYPjMHn4cIfPceLECVRWVlolAp6kY7E6g8GA0NBQzJo1y2axus9Pn8Ybhw6hVqezPhHLAmfPAkYjENNFGYpLl1pHYTruZhoyBNizB9BogMBAQK1uTVbi44HSUiA9HWAYICMDWLLkt6klHvQ2cQkJCuItcemoXCeEgQFk3vf9AQAlMX1SXVuL2tpaKBQKKCOiIPDCb5GE9MRdjSAl3tZ+gOMwOyoSc8eMdvgUOTk5KC0thcJDNwN0LlanVCq7LFa3tagIf83MRJ6tYnWVlcCnnwJmc+u00C23dD3d09wMdN7ZpVL9dllQEHDjjcC2bcDWrcDQocCoUcCBA0B0dOt1P/+89bppacCsWX18FnomABDbYY2LrcTFaDK1j7hMGTUKAzq1kHBn4mJxvxCgXC/CYJWX/f1dRUlMHxw+dhwyWeu3J1VkNM/REOI67mgEKfOmRpAchymhwVg2aaLDp8jPz0deXh5UbR/QHsRWsboJEyYgLS3NalF2TnU1nsvMxK8XL3Z9wuDg1ikegwE4dw748UfgzjsdX7cyaFDrmpo2tbWt62L++MfW9TTjxgHDhwMff9ya2HS3iNhBbYlLskiEoT0kLmmJiZicnt5t4lKkFUPP8rOwvVwnpCSmv9HpdCi/cgUymQxipRIy6lZNfBg1guyA4zAqwB83TZ/u8ClKS0tx+vRpqNVqJwbWd10Vq5s4caLVguNKrRZ/O3AAX/emWJ1Y3JrIAEBUVOuuo+xsYPly6+uq1YBWa3ms7eeunq9Nm4B581p3L1VUtC7slUpb18sUFzstiemYuCSKxVB2M1XUbeKi+21XEV+JS0flehEA76zZQ0mMg86cz23vjaSKHMhzNIS4FjWC/M0wpQIr58x2+Pbl5eU4fPgw/B0shucqHYvV6fV6DBw4sMtide8dO4Z/96VYHce1Ti3ZEhMD7NjRuri3bV1MYSHg59e6HqazEydarzd8ONC2DqeteKITiii2Jy5iMRJFoi4Tl9BeJC4FWjGKtSKPSFw6qjUKvHZdDCUxDioqKWlv6qaMoqkk4tuoEWSrwRIx/njNAodbAdTU1CArK8ujOlLbKla3cOFChHea6uE4Dt/m5uKVAwdQ1mRHk4gdO1pHQvz9Wxf0njkDlJQAt93WevnOna0jMytXtv6clgb8+ivw00+t9WRqa4GsLGDmTOs6Qs3Nrde9++7WnxUKIDS0dSfTsGGtU1fXXGP3c2JP4jIiKQmTRo60mbhc1glR6KGJS0ccBKjQCxGn8qIp3as8993Cg9VpNGhobIRCoYA0MAgSpefNaRPiTNQIEogWCvCnxYscTmA0Gg127txptaOHL70tVgcA2eXleHbvXhyrrLT/jpqbgR9+aP2vTNa6Dub221t3HAFAUxNQV/fb9eVy4I47WovZffxxa2IyeXLr9urOtm5tvaxjUnjdda0J0KFDwMiRQEpKr8LsTeJiNJkQEhiIkUlJmJSejqBOyag3JS6dletFXpnECDQajfeW6uPJnswslFwqg0gkRFBKGvxirFfqE+JrJvsrnNoI8sctW1DR6UOxViZHjdzzduqEgsPTy5Y6XEm3qakJW7ZsQaCt6RA3s1WsLjU1FePGjbOa4itpaMALWVnYmJ/PU7SuJcTVXUW9SFwS4+J8LnHpKEzG4PpoQ89X9DCe+ZXHg7Esi0vl5RCJhIBACFVEJN8hEeIWun7aCDKIZfDU8mUOJzA6nQ5btmzxiCmkzsXq4uPjMW3aNKst3g0GA946fBgfnzwJgwf+TvqiLXFpG3FRdEpcjCYTTGYzQoOCMHTQoC4Tl7KriUuJFycuHdUYhDCxgMR7eo4CoCTGbmXl5WjR6aBUKKAIC4NQ4tklwglxlhaGQ0A/awSpZsxYtXQJZBLHtmYZjUZkZGQgICDA4WkoZ+hYrE6v1yMsLAwzZ87EgE6NBM0siy/OnMHr2dm2i9V5KXsSl+6minwtcemIvbouJlbpWX+DPaEkxk5nzuW217ZQRdGuJNJ/uKIRpEDguY0glYwZTy9eZFHLxh4mkwk///wz/Pz8eEtgOhar0+v1UKvVmDlzJuLi4qyuu624GH/NzMSFjutTvJgQwKAOU0U2ExeGQWhgIEYmJ2NyejoCO+0Y65i4FGtFMPhY4tJZuV5ESYwvM5lMuFJVCYlE0tpmIITaDJD+wxWNICUSz2wEKTOb8eQ18+GnVDp0e4ZhsGnTJqhUKqvicO7QsVid0WiEUCjEhAkTMGLECKt4ztbU4Ll9+7Cnu2J1XsKexCV92DBMGjnSKnFhOq1x8fXEpaMKnZfNJYGSGLvkFxWBYVlIgKttBrzvF06Io9zVCFLCcyNIidmMx2bPRrCDdVxYlsWWLVsgk8ncnsDYKlaXlJSESZMmWRWrq9Jq8beDB/H12bNgeipW58HaEpdksRhDe5gq6i5xKdMJUdQsRnFL/0pcOqrywnUxlMTYITe/APKrXWapzQDpb1zRCFKtUlklMTKWQQtPjSDFDIOHpk1BZIhjFbg5jsO2bdsgFAqtdvq4mtFoRFNTE4xGI/R6PaKjozFz5kyrYnV6sxnvHz+Od44eRZPR6NYYnYUSF9dgIUClQYiBCu+ZUqIkppdadDrU1NZBLpdBKJVCGugZtR4IcRdXNIL081OjutYzGkGKGAb3jB+LwZGO7TjkOA67du0CwzCQOLgQ2BFmsxnNzc3Q6/XtxeoWLFiAyE6Pg+M4fHfhAl7av9++YnUeQgggrsNUkdxG4mI2mxESFIRRw4ZhYjeJS2GzGCWUuNhUrhNREuOLTp8917qtGoAiJIzXnQaE8MUdjSClPDSCFLIsbk8fgWE2ujP3VmZmJnQ6ndW0jauwLGux7kUmk2HGjBlISkqyen86VF6OZ/ftw9ErV9wSm7PYnbikpyOw08gTJS72qdB70VwSKInpteKLF9u/XSnCHOy8SoiXc0cjSJmbR2IELIsbhiVh9NChDp8jOzsbGo0GsqvTza7EcRx0Ol37uheO45CWltZlsboXs7LwkxcVq2tLXNqmimwlLiazGaEDBvQqcSluEcFIiUuvVRqEYDjAiQOuVvbv3493330Xp06dQkVFBd5//33c1taGwk6UxPRCa5uBJigVckAggDw4hO+QCOGFrzWCFHAcFg+Ow5Thwx0+x4kTJ1BZWQm5g1ux7WEwGNqbNBqNRgwePNhmsbrGq8XqPvKSYnX2JC6jU1IwYeRISlxchOEEqDYIESF33YioVqtFSkoKVqxYgfvvv79P56IkphfOXbgAmbT166d8QDCEYn4WHRLCN59qBMlxmB0ViXljRjt8inPnzqGkpARKB7di91bnYnWhoaGYOXMmgoODLa7HdChWV+PhxepE+G2qqKvExWw2I2TAAIxJScH4LhKXSy1XC9BR4uI0dUYBIlyYk8+fPx/z588HADz44IN9OhclMb1QfuVK+7dFRShNJZH+y2caQXIcJoUEY9mkiQ6fIj8/H7m5uVCpXNcA1p5idduvFqvL9eBidfYmLhPS0xGgVltchxIX16szCgF4/ggeQElMj3Q6HTSaRsjlrXPdilAqcEf6LzMHGFnOqY0g1SqlVRIjdWX7AY7DqAB/3DJjusOnuHjxIk6dOmW1fdlZOherE4lEXRarO3e1WN1uDy1W15a4JIvFGGIjcTEYjTAzDMKCgzEmLq6bxEWEQq2IEhc3qDV6z+JeSmJ6UFBU3F4BXaxUQax03bcuQryBOxpByly4jmOYUoGVc2Y7fPsrV67g0KFD8HewGF5P2hbtms1mmEymLovVVbe04NUDB/CVBxar65i4DBWJIOsucel2xIUSFz7UURLjO4ovXWzfcUALegnx7kaQg8Ui/PGaBQ6XSKipqcG+fftc0pHanmJ1Hxw/jrc9rFidCMBgkQhJIlGXiQvDsggdMABjhg/HhJEjbSYuF1tEKNKKUKIVwchR4sIHPSuA1gyovCBD8IIQ+cMwDGrq6iG+uh5GHhLKc0SE8M8VjSA7T5G4ohFklFCAPy1Z7HACo9FosHPnTgQFObfQZedidQEBATaL1QHAd7m5eGn/flzykGJ1bYlLskiEIT0kLmNTUzF+xAhKXLxEnVEIldjzi95REtONyxVXYDQaIVYoWrdWDwju+UaE+DhXNIIUi13bCDIUHJ5YssThXkbNzc3Ytm2bUxOYzsXqpFIppk+fjuTkZKtE6/DVYnVHPKBYXW8Tl7BeJC6FWhFKKXHxSLVGIWJc1NG6ubkZRUVFAFr/DsrKynD69GkEBQUhJibGrnNREtONvMICyGWt+8xkAUG0tZoQeF8jyECWxVPLl1olSr2l0+mwefNmp00hdSxWZzabwTAMUlNTMX78eKuaOaVXi9X9yHOxul4lLlfXuIxLS8P4tDT4U+Li1Vy5LubEiRNYunRp+8+vvfYaXnvtNaxYsQIffvihXeey66+6oaGhxz/k3NxcJCcn2xWEp6qprYPw6i4MeQithyEEcF8jSKkTGkGqGTNWLV0CmYO9jIxGIzIyMhAQEOCUViMGg6F93YvRaERcXBymT59us1jdv44cwYcnTvBWrE4EIP7qGpeeRly6SlzMLHBJd3VxrlYEEyUuXkNjct3vatq0adBoNE45l11JzA033ICNGzd2Wdjp5MmTuP7661FYWOiU4PjUotOhsam5fWu1PJjWwxACtDaC1LMclC5uBCntY/sBhdmMVYsXQulgJV2z2YyMjAz4+fn1OYGxp1jdmpwcvJadjeqWlj7dpyPE+G3EJaGHxGV8WhrGUeLisxpM3rFDya4k5tKlS7jpppvw3XffWZXYzs7Oxk033YT4+HinBsiXwpKS9jWFAqEQUn/n70YgxFu1sCyUHtwIUmY246lr5sPfwUJ0DMNg06ZNUCqVDq+jaTtPW7E6g8EApVKJBQsWYPDgwVbX3VVSgucyM3G+ttbh+3NEbxOX8ODgbhOXizoRCptFKG2hxMUX6FkBDAwgc141BZewK4n56aefsGTJEtx2223YsGFDe0PEX3/9FbfddhvS0tLw7bffuiRQdyu9eKm9LoPEPwCCPryREeJrPLkRpIQx49HZsxDsYB0XlmWxZcsWSKVShxOYzsXqhEIhxo0bh5EjR1qd83xtLZ7btw+7Sksdui9H2JO4TBgxAuPS0uDXKSGkxMX3aUxChIs8e4eSXUlMcnIyfvjhByxfvhwrV67EV199ha1bt+Luu+/GpEmT8M0337i8h4g7cByHWk19+xCyLCCQ34AI8TCe2ghSzDB4aOoURIU4tpOQ4zhs27YNQqHQKp7e0ul0aG5uhslkgslkQmJiIiZPnmyzWN3fDx7E2pwctxSrE+O3NS5dJS4syyKMEhdylcYkQLjr+5r2id3L9UeMGIHvvvsO1113HRYtWoQTJ05g7ty5+PLLL63+SL1VbX09dDo9lFcX20kpiSHEgrsaQUoYBoZe7ioSMQzuHjcWg23UV+kNjuOwa9cuMAzTPspsj94WqzOYzfjgxAm8feQIGl1crK5j4jJEJIKUEhdih9Z1MZ7dQ8mhPYdjxozBf//7X9xwww1Yvnw5Pvrooz7NG3uaopJSizcxqX8gf8EQ4oFc0QhSpVKhubnZ4piUZWDoxduUkGVx28gRGB43yOH7z8zMhE6ns/vLGMMwaGpqsihWN3/+fERFRVld9/sLF/DS/v242NjocJw9cVbiUnq1AB0lLv2XK3coOUu37w4RERHdrspv2364adOm9mMCgQDl5eXOi5AHVTXV7SXQBWIJJC7sUkuIN3JFI0g/m0lMz8mSgGVxfXIixiQOdfi+Dx06BI1G095ipDfsKVZ3tKICz+zbh8MVFQ7H2J22xKVtjUvnxEVvMIDjOIQFB2PiyJEYm5rabeJS0iKCmYfEZefql7Hr479ZHFMHh+PZHZdsXt9k0OOnvz+E8vMnUFWSi0EjJ+O+T3ZaXKc89wS+e+k+1F4sQPzYGbjx5c+hDBgAoPV3+OHKqZj34EtInDTPNQ/Ki3nDDqVuk5jrrrvOKbURvE1j428lvWk9DCG2uaMRZE/brAUch8WD4zA1NdXh+z1x4gSuXLliteOyK23F6trWvbQVqxs3bpxVQb2LjY14KSsLP+TlwdmrXpyRuJjYDgXoeEpcOguNS8S9H/+WiAi6WZvEsQzEUjkm3fwgLuz/BbqmBqvrfP/y/UgYNwsrXv8aP7x8P379/A0seuwNAMCB9e8hZFAiJTBd0DL8vx560m0SY2/lPF9gMBigbdFBJmsdUpa6oNEbIb7A2Y0go200gux2mzXHYVZkJOaNGe3wfZ47dw4lJSW93pDQVqzOZDJBr9cjLi4OM2bMsCpW12Q04l+HD+PDEyegd2Kxut4mLuEhIZg4ciTGpaVB3emxeWLi0pFQJIZfSESvritVqHDds+8DACryz9hMYqpLcnHzq2sQOigRI6+5GbmZWwAA9eWl2P/Nu3h43UHnBe9jDM5vYeZ01Hagk6qaGpgZM2RoS2IC+Q2IEA/l7HUxofY0guQ4TAoJxvLJEx2+v/z8fOTm5kLVi+nizsXqQkJCsGTJEoR0quTNsCzW5uTg704sVieB5a4iX0xcOqq7XIy/zx8EsVSGmNRxWPDwKxgw0PH6YxFDR6Dg0C4ExwxB4eHdiBjaOmr302uPYN4DL0AVRNXYu8JCACPr2bVi7Epi3n77bWzduhXbtm2zefk111yDxYsX45FHHnFKcHwouXSpvV8SQNNJhHSFz0aQ6f5+uGXGdIfv6+LFizh16pTVzqHOOherUygUXRar211aiuf27cM5JxSra0tckkUixPeQuExKT8fY1NQuE5cCrQgXPTxxaROTNh43vPgpQuOSoK2vxu5PX8OHd83Ao/87CVWgY9vmr//ramx87U/IXPs2BqVPwsy7VuHk1g1gGTOGTJiNL/90LapLcpE4eQGWPPEWRA62qPBVOkYAmcj1JQAcZVcS87///Q+zZ8/u8vLx48djw4YNXp3E1NbXQ3S1EqlILodI5uGb5AnhCV+NIJPlMtw5d47D93PlyhUcOnQI/t0Uw+tcrE4gEGDs2LFIT0+3Gi3KvVqsbmcfi9V1TFwSRCJIbCQuABAWHIzJ6ekY00XiUnp1xMVbEpeOkqZcY/FzTNoE/GNpEo5v+grTbn/UoXOGJwzHfZ/uav+5paEO29/7K+5ZvRUZbz6GqOSRuP2f3+LzBxfh8A+fYtLND/TlIfgcPSsAnL6iy3nsSmJKSkowdGjXOwASEhLw+eef9zkovnAcZ7Gol6aSCOkaH40g48Qi3L/wGoc3HNTU1GDv3r0IDAzs8jodF+0ajUYkJiZiypQpVluva64Wq1vTh2J1vU1cwn04cemOTKlGeEIKai8WOO2cW95ehYk3/hEDBsaj8MivmHv/XyGWSJE293oUHtlDSUwnOg9f3GtXEiOTyXDlypUuL6+oqPDqejEtOh30ekN700eaSiKka+5uBBklFOD/lix2OIHRaDTYtWtXlwlM52J1UVFRmDlzptWIjcFsxuqTJ/HPw4cdKlYnAZDQYY1LT4nL2LQ0qDotHPblxKUjk0GP6pILiB87wynnKzy8BxV5p3Hdc62bVjiWBWM2AQAYkxFcH5uO+iKdhz8ldiUx48ePx7p163D//fcjoNOuHY1Gg3Xr1mHChAlODdCdKq5cAddh2IxGYgjpnjsaQYqMJoTKOTyxZInDX5Kam5uxdetWmwlM52J1/v7+XRar+zEvDy9mZaHUzmJ1bYlL2xoXW4kLx3GICAnBlFGjMCY1tcvEpaBZhEs630xctry9CsnTFyMwIgbNddXY/cnfYdRpMXrJ7wEAW999FmU5R3HPR7+ty6wsOgfGZESLpgbGlmaUXzgJAIhKSrc4t8mgx8bX/4Sb/7YGoqtrrwalT8GB9e9j+h2P41jGWoxafJtbHqc3aZ1O8lx2JTFPP/00Fi5ciClTpuCBBx7AsGHDALRuU1y9ejWqq6vx5ZdfuiJOt7h4+TJk0t+KXUn9aHs1Id1xRSNItsO2apPZjHB/f9y6bInVot/e0ul02LRpEwIDAy1GcWwVq5s2bRqGDRtmNdpz7MoVPLN3Lw7ZUayuN4kL0DriMnX0aIwePtxm4lLS0lry31cTl44aKsuw4S+/R4umBqqgUMSkjccDazIRFNVaibmp5gpqy4osbvPlI8uhqfhtPdK7K8YDAF47bjlKtuvjV5A0dSGiU37bkr/sz//Cf5+7Ex+snIrkaYsw6SaaSupM7+HTSQKNRmPXZO7evXvxf//3fygtLW3/Q+c4DnFxcXj77bcxc+ZMV8TpFt9nbIL26rZIoVSGgbOoABIh3YmQipCs7H2V254YjUa8+9nnUMhlYBgGCrkcd9x0k8N92YxGI3766Sf4+/tbvF/1tljdpcZGvLR/P76/cKFXSxt7Slx0ej0EAgHCQ0KQNnQoJS7E4yWqzZgT5toeX31h91ebGTNm4MSJEzh16hSKi4sBAIMHD8bIkSO9urovx3FobGpq71wr9oFu3IS4mqsaQZqvNmG87YYbHE5gzGYzMjIy4Ofn1/7e1LFYncFgwKBBg7osVvf2kSP44PjxHovVSfHbGpeeEhcacSHextNHYhwanxUIBEhPT0d6erqTw+FP49UFfW1vZhJKYgjpkSsaQSoUCmi1Wvz+xhst1sbYg2EYbNq0CUqlEkKhEGazGY2Njb0qVvfV2bP4+8GDqOqmWF1b4pIsEmFwF4kLBAJEXE1cxqSmQtnpsXRMXC7qRGAocSEeSOf8P3GnciiJMZlMyMvLQ2NjI1gbb2JTpkzpc2DudulyucWiQbGCmj4S0hMzB5hYDhInNoIcnpSExPh4qBz8IsGyLLZs2dI+gtPQ0GBRrG7+/PkYPHiw1cjxntJSPJuZiXM1NTbP2zFxiReJILaRuAiFQoQFB2PamDEYPXy4VeJivJq4FFHiQryET43EcByHV155BZ988gm0Wm2X16urq+tzYO5WXVNjMWxN00mE9E4LyyLAiY0gx/VhhJfjOGzfvh0CgQA6na590a5QKMSYMWOQnp7ePmXc5kJdHZ7ftw/bS0qsztebxEUgECAiNLTHxKVtqogSF+JNfKpOzDvvvIO3334bK1euxOTJk/HHP/4RL730EgICAvDxxx9DLBbj5ZdfdlWsLtXc0mLxzUysoCSGkN5wdiNIR3Ech927d6OxsRFGo7HHYnW1Oh1eO3gQX+bkwNxhRFkKYEiHNS4OJy7a1joulLgQb2bmBDCzgNhDS8DZ9dazbt06LFu2DO+88077aMvIkSMxY8YM3HLLLZgzZw6ysrIwY4ZzChO5k06ns/hZrKTpJEJ6wxXrYhyxf/9+FBcXQywWQ6/XIzIyErNmzbIqVmdkGKw+cQJvdShWJwEwRCjEMLEYgylxIcSCnhVALfTM1gN2JTFlZWV46KGHAKB9/Yjhaq0DmUyGm2++GR999BGeffZZJ4fpei06XftjEohEEMmct22UEF/m7B1Kjjh8+DDOnj0LAFAqlZg3bx6io6OtrvdTXh5e3L8fJQ0NUAiFSBYIkCQSYYhEYnuNi0CA8NBQTBs7FqNTUihxIf2SngHUHjDaaotdYQUGBkKv1wMA/P39IZVKcfny5fbLZTKZV66HMRgMMJpMkF9NXGg9DCG9x/dIzKlTp9obOo4dOxYpKSlWi3aPX7mCZ/btw9maGowfMACjdTpEms1Qd9rq3KLXQ3R1xGX6uHEYPWyY1Q6ptsSlQCtCGSUupB9ofY3z/2XFFruSmGHDhuHMmTMAWkdiRo8ejc8++wzz588Hy7L48ssvu20Q6amatFqLXVa0M4mQ3nNFI8jeOn/+PHbt2oUJEyZgwoQJVsXqypqa8PaRI2g2mXDL4MGobmlBU1VVa2Jy9bo6gwECAJHdJC6GDiMulLiQ/sYz05dWdiUxN954Iz777DPo9XrI5XL89a9/xXXXXYe0tDQAgEQiwTfffOOSQF2pprbWclEvjcQQ0muuaATZG0ajERUVFXjggQesitUBQH5dHS43N+PPo0Zh0+7dKDh/HkqFAgq53DJxSUrqIXER41KLECwocSH9E+vBWYzdbQc6KykpwZYtWyAWizFnzhwkJCQ4Kza3ycw+hMLi4vY1MUHDUuEXG8dvUIR4kVSVFCESz5o01xsM2JKZiVPnz0MikcBoMkEgECAyJAQjkpMxKjmZEhdCemFZpB7RCs9YwN9Zn9914uLi8OCDDzojFt40NzdbFrqjnUmE2MXZjSD7gmVZZB07hn3HjqFZq4VMJkNoUBBGJCUhnRIXQuzGefBIjENJTFFREbZv346LFy8CAAYNGoR58+YhPj7eqcG5S4vV9mqaTiLEHnwv7m1zvrAQ6zdvRovBgKGxsZgzcaLtxIUBiltEKKLEhZAeecZft212JTEMw2DVqlX44osvrNoNPPPMM7jzzjvx5ptvWlXE9HRWSYzcen6dENI1vrdZ19bX48edO9Go1WLh9OkYNWxY+27DNm2JS2GzGGU6SlwI6S0PHoixL4n529/+hs8++ww333wz7r///vb1L4WFhVi9ejW++OIL+Pv744UXXnBJsK7AMAwMBkN7NU+BSAyB0ENLExLiofgeiZHJZLh92TJKXAhxAdaDd+PZtbC3rXz3F198YfPylStX4uDBg8jLy3NagK7W0NiI9T/8BKWidbhZJJcjesZcnqMixPtM8Vc4tRGks3Scz+c4DnWaBpw6fwGXyivQ2KiFRCqB2MtGjwlxFZ1OjwWzpiBxcFz7MR6qJ/SaXSMxLS0tmDp1apeXT58+Hbt27epzUO5Ur2kAx/32LVIo8ZDViYR4GWc3gnSe1sTl5NlclFVcQUNjM6RSKcQiUfuXF0JIK4EA4FjWoxOXjuxKYiZPnozs7Gz84Q9/sHl5dnY2Jk+e7JTA3KW6tgZSyW+N4YRiSmIIcYSnNIIEfhtxsZ240Jo3QromAMN48lJeS3a95fzzn//EDTfcgCeeeAL33Xdf+26koqIifPTRRzhz5gy+++47lwTqKlptC8Ti37490kgMIY7he10MANTWa3D8zDlcvHwFjc3NkEmlEAlFkElb18p405szIXzgOM5q444n6zaJiYiIsOpBwjAM8vLy8MUXX7Rfxl2ddBaLxRg/fjzKy8tdFK7ztRXAakMjMYQ4hu8dSgBw8XIFZFIZhg4exHcohHitgZERfIfQa90mMdddd51VEuNrTGaTxc80EkOIYzxhJGZU6jC+QyCEuFG3ScyHH37orjh4YzYzFj/TSAwhjuGzESQhpH/q9wVRzGazxc80EkOIY9oaQRJCiLt0OxKzfv16h066YsUKh27HB6vpJBqJIcRhLSwLpajffzcihLhJt0mMrcaOnRfzdj4OeFcSYzZ1mk6ikRhCHOZJjSAJIb6v2yTm1KlTFj83NDTggQceQFBQEO655x4MGTIEAFBQUIBPPvkEDQ0NXreOxmQ2WfR6Ekg8pNAFIV7IExb3EkL6D7vaDjz44IO4cuUKvv/+e6tdSxzH4Xe/+x0iIyPxwQcfOD1QV2BZFp99/Q1k0t+K3UVMng6pnz+PURHivfxFQoz2oyq4hBD3sGvyevPmzVi0aJHNbdcCgQCLFy/Gli1bnBacqxlNJsvGKqDpJEL6gkZiCCHuZFcSw3EcLly40OXlubm5VmtlPJnRaATbOYmhRnCEOMzMASbaoUQIcRO7kpjFixfjiy++wLvvvgutVtt+XKvV4t1338WXX36JRYsWOT1IVzGaTFbllentl5C+odEYQoi72LUmpqGhAStWrMDBgwchEokQHh4OAKisrATDMJg4cSLWr1+PwMBAV8XrVJcrKrDxl61Qq1Ttx6JnzYeowxoZQoh9khRSRMpogTwhxPXseqcJCAjAli1bsHnzZuzYsQNlZWUAgPnz52PevHlYuHChV7Up0LboLHYmtaKxGEL6gkZiCCHu4tDXpcWLF2Px4sXOjsXtdHodRMJOM2qUwxDSJ57QCJIQ0j84lMQUFhYiKysL1dXVuPHGGzFo0CAYjUZUVlYiPDwcUq+ajuk8ckRvwIT0BY3EEELcxa4khmVZPPbYY/jqq6/AcRwEAgHGjRvXnsRMmTIFTz31FB555BFXxetUrY3qLJMWL9pcRYhH0rMcTjfr+Q6DEK8mFgiQopLxHYbHsyuJ+ec//4l169bh2WefxYwZMzBv3rz2y9RqNZYuXYpNmzZ5TRID2Bp3oSyGkL7gANSZaTSGkL6Qes/yUl7ZtcX666+/xu23344nnngC8fHxVpenpKSgsLDQacG5mkAgsM5ZKIchhBDCO8piesOuJKa8vBxjxozp8nKFQoHm5uY+B+UuAhvTSZTFEEII4RulML1jVxITFhaGixcvdnn5yZMnERMT0+eg3EUgFFqnLJTDEEII4ZkXVSvhlV1JzLJly/D5559bTBm11YXZsWMHNmzYgGuvvdapAbqS0Eauy1EWQwghhGeUw/SOXRV7GxsbsWTJEhQWFmLixInYs2cPpk+fjubmZhw/fhzp6enYvHkzFAqFK2N2mgsFBdi7/yDk8t9WgEdOmwWJUtXNrQghhBDXUggFmODvHZ+lfLJrJMbf3x/bt2/H448/jqqqKsjlcmRnZ0Or1eLpp5/Gli1bvCaBAQCBQGg98kJ7rAkhhPCMRmJ6x66RGF+TX1iE3VlZUMjl7ccip8yERK3mMSpCCCH9nZ9IiDF+8p6v2M/ZNRLTUWFhIbKzs9HQ0ODMeNzK1uYkjmV4iYUQQghpI6GhmF6xO4n53//+h9TUVIwbNw6LFi3CyZMnAQC1tbUYM2YMfvzxR2fH6DK2ppNYk4mnaAghhJBWEtqe1Ct2JTEbN27Efffdh8TERLz88svgOqwfCQ4ORmJiIjZs2OD0IF1FILR+kTBGIw+REEIIIb8RUxLTK3YlMf/85z8xc+ZM/PDDD7j11lutLh87dixycnKcFpyrCWwsnWJNlMQQQgjhl8TGl2xiza4kJi8vD0uWLOny8tDQUNTU1PQ5KHcRi0UWo0kAwNJIDCGEEJ6JKYfpFbuSGKVSCa1W2+XlxcXFCA4O7nNQ7mJrOzhDIzGEEEJ4RmtieseuJGb69On45ptvYLQxWlFRUYE1a9Zg9uzZTgvO1eQyGURCy6eARmIIIYTwjZKY3hHbc+XnnnsOc+fOxcyZM3HttddCIBBgx44d2LNnD9asWQORSIRVq1a5Klank0ml7W0T2tCaGEIIIXyj6aTe6XYkJicnx6IOzJAhQ7B9+3aEh4fj9ddfB8dxeP/99/Hvf/8baWlp2Lp1q1c1gBSLxRCJRBbHaHcSIYQQvtFITO90OxIzffp0fPTRR7jxxhsBAEuXLsWTTz6JH3/8ERqNBkVFRWBZFnFxcQgJCXFLwM4kEAggkUgsFvfSSAwhhBC+0Rbr3ul2JEapVKKlpaX956ysLFRVVQEAAgMDMXr0aIwdO9YrE5g2UonE4mdaE0MIIYRvNJ3UO92OxKSlpeE///kPDAYD/Pz8AAAHDx6E2Wzu9qQrVqxwXoQuJpFIYOiQuHAsC9ZshlBs13IhQgghxCkkAlit1yS2ddsA8vTp07jrrrtQVFTUemWBwKquitUJBQLU1dU5N0oXyti2HfUajcWxqOmzIVYo+QmIEEJIv6YQCjDB37oECLHW7XDDiBEjcPToUVRUVKCqqgqzZs3Cs88+i7lz57orPpfrPJ0EXJ1SoiSGEEIID2hRb+/1OGciEAgQFRWFqKgorFixAjNnzkR6erobQnMPqVQKjuMshu6o4B0hhBC+yKnlQK/ZtfDjgw8+cFUcvFGrlGAYBuIOa2AYvZ7HiAghhPRnCkpies2uir2+SK1SwcwwFsdM3bRWIIQQQlxJIer3H8291u+fKT+1GozZMokxtzTzFA0hhJD+jkZieq/fJzEKhQKd11DRSAwhhBC+KIX9/qO51/r9M6WUyyHs1HrA3KIFx7I8RUQIIaS/EgsACY3E9Fq/T2Lkcjkk4k7brDkOZr2On4AIIYT0WwoahbFLv3+2BAIBVErrokJmmlIihBDiZrQexj79PokBWntEdWaixb2EEELcTEk7k+xCzxYAP5UKbKc1MDQSQwghxN1oJMY+lMQACA8NhdFosjhm0tJIDCGEEPeiJMY+lMQACA0NAct2rhVDIzGEEELcixb22oeeLQD+ajVEnbZZM3o9WLOZp4gIIYT0N7S92n6UxACQSCSQyeVWx2k0hhBCiLtQkTv70TN2lUphvc3aREkMIYQQN6H1MPajJOYqW9uszbS4lxBCiJv4iekj2V70jF0VGOAPplM3a2NjA0/REEII6W/8qUaM3egZuyoiNAwGg9HimEFTz1M0hBBC+hMhADUlMXajZ+yq4AFBEHRqZ80ajbQuhhBCiMupRUIIBbQmxl6UxFylUiohFousjhtpNIYQQoiL+dN6GIfQs3aVSCSCSqmyOk5TSoQQQlyN1sM4hp61DgIC/MFxnMUxSmIIIYS4Go3EOIaetQ5ioqJgNFou7jU1NVLlXkIIIS4jFQByKnTnEHrWOogdGA2mUzdrADA2atwfDCGEkH7BT2S9HpP0DiUxHfip1ZDbaD9AU0qEEEJchaaSHEfPXAcCgQCBAf5WxymJIYQQ4iq0qNdx9Mx1EjJggHXlXkpiCCGEuAi1G3AcPXOdDI6NhaHT4l7WZIKJ+igRQghxMpVQADEVuXMYJTGdhIWEQGxjkRVNKRFCCHE2Wg/TN/TsdSKRSOCnVlsdpyklQgghzhZoo1I86T1KYmwIDAywLnpXX8dTNIQQQnzVAEpi+oSSGBtio6OtOlqbtM0w63Q8RUQIIcTX+IuEkAhpPUxfUBJjw8CoKKuRGADQ11TxEA0hhBBfFCyhUZi+oiTGBrVKBYXCuuidrqaah2gIIYT4Ikpi+o6SGBsEAgEC/K2L3ulrq8GxjI1bEEIIIb0nEwigpiJ3fUbPYBdioqNgNJosjnEMA0M97VIihBDSNwNoFMYpKInpQmJCAhgboy46WhdDCCGkj4Il9PHrDPQsdkGtUsHfRr0YXTUlMYQQQhwnABBEW6udgpKYboSGhIBlWYtjZm0ztSAghBDisECxECJqNeAUlMR0Y1jiUOgNBqvjuqpKHqIhhBDiC2hXkvNQEtONiLAwSKVSq+MtVVd4iIYQQogvCKapJKehJKYbIpEIwUGBVseNmnowBr37AyKEEOLVlEIBFLS12mnomexBfOwgGGhKiRBCiBPQVJJzURLTgyEJ8WhdS26phZIYQgghdqIkxrkoiemBQi5HUGCA1XF9bQ1Ys8nGLQghhBBrcqEAATSV5FT0bPZCTHQUTCaz5UGORcuVCn4CIoQQ4nXCJSIIaGu1U1ES0wspSUkw2xh10V4u4yEaQggh3ihCKuY7BJ9DSUwv+KnV8LfRENKgqaPCd4QQQnoUIBLSriQXoGe0l6LCI8Aw1r2UaDSGEEJIT2gUxjUoiemlEcNTrLpaA4C2vAwcx/EQESGEEG8gBBAqpV1JrkBJTC8FBQYgMNB6Sokx6KGvreYhIkIIId4gRCKCmBb0ugQlMXYYGh8Po9FodVxbdomHaAghhHgDmkpyHUpi7JCanAzYyKZbqirBmKyTG0IIIf2bVCBAkJg+al2Fnlk7SKVShIeGWq+B4Vi0VJTzExQhhBCPFSGl2jCuREmMnUYOT4FOb938sbnsIg/REEII8WThNJXkUpTE2CkmOhoqpdLquKmpEcamRh4iIoQQ4on8REKoqDaMS9GzayeBQIBBAwfCbLZVM4YW+BJCCGkVQduqXY6SGAeMGpEGk602BOVl4FiWh4gIIYR4EiGAMAlNJbkaJTEO8FOrERwUZHWcNZmgq6rkISJCCCGeJEIqhkRIC3pdjZIYBw1LTITeYLA63nSxmIdoCCGEeJIYGY3CuAMlMQ5KGpIAsdj6RWqor4NBU89DRIQQQjxBiEREzR7dhJ5lB4nFYkSGh4NlrfsmNRYX8BARIYQQTxBLozBuQ0lMH4xKHQ690XpKSVdVCVNzEw8REUII4VOASAh/Me1KchdKYvogPCwMAWo/m5c1lhS5ORpCCCF8i5HTKIw7URLTBwKBACPThttc4KstL4PZRmVfQgghvkkhFCCYRmHcipKYPkoeMgQKudz6Ao5DUymNxhBCSH8RI5NQnyQ3oySmj4RCIYYnJcFgtO5i3XzpIliTdVE8QgghvkUioAq9fKAkxglGDE+BxMZ2a44xo+lSKQ8R9Q/3ThmPa+OirP69ctfvAQDfvf8unly2ECtSE3HH6FT87Q93oPRCbo/n5TgOP3/2CR6aPQ03JMbhrnHpWPv6q+2XF+WcwWOL5uGWlCH42x/uQFOHLfUsy+Kp5YtwYt+vTn+8hBDPFS2TQEijMG5HK5CcQCwWY2j8YOTmF0LSqcx0U2kx/AcNhkBEGbqzvfXzL2CZ33pY1VdV4oml12DK4qUAgJzsA1h4+0oMGZkOjuOw/l//wAu33Yx3d/4Kv0DristtvvjbSzi6eydW/uU5DEoehpbGRtRVV7Vf/t7TTyJt8lQ8+d5qvP/0k/ju/f/grmdfAABs+uIzRMUnYNT0ma550IQQjyMEEE3dqnlBz7qTjElPx/l86/owrNEAbXkZ1DGDeIjKtwUEB1v8vPPb9VCo/TBlSWsS8+JX6y0uf/Ttd3FbWhLOHz2C8XPn2zzn5cICbF7zOd7ZugsxQ4a2H4/vcJ2ygnw8/s57iI5PwLSl1+Lo7p0AgKqyMmR8/gn+mfGLEx4dIcRbRFKLAd7QdJKTyGUyxMXEgGGsu1s3lhSB46yL4hHn4TgOO/+7HjOv+x1kcoXN6+i0zWBZFuqAgC7Pc2jHNoTHxuLEr3vwx2kTce+U8fj34/8HTU1N+3UGDxuOk1n7wJjNOH0gC3HJwwAAq597Grc+8Wf4Dwju6vSEEB80kIrb8YaSGCeaNHYMTCaz1XFzixa6yis8RNR/nMzci8pLFzHvltu6vM6nL/0Vg1OGI2n02C6vU3nxIqrLLiMzYyP+9NY7ePTtd1FWWIBX/7AS7NUO5Q+98RYObtmM+2dMglgiwfUPPoJ9G38Ew5gxcspU/O3uO/DH6ZPw8V+fgZkWdhPi0yKk1GKAT/TMO5FKpUJ0ZET7h11HDUX5NBrjQjs2fIOhI9MxOGW4zcs/f+VFnD9yGKtWfwpRN+uTWI6FyWjAo2//B8MnTMTw8RPw6Nv/Qf6pEyg4dRIAEJuYhFe//QGf7D+CJ/7zARjGjHX/eB0PvPoGPnnxeQwenor3du5F6YUL2L5+nSseLiHEAwgBxMklfIfRr1ES42QTx46xud3a1NSIlivlPETk+zQ1NTi8Y1uXozCfvfwCMn/+Ca988y0iYrtfmzQgNAwisRjR8Qntx6IGx0MoEqG6/LLN23z56stY+PuViIgdhDMH9mPa0uWQSKWYsngJTh/Y7/gDI4R4tGiZGHIhfYzyiZ59JwseMAChwSE2R100ebngbKyZIX2z+7v/QiyVYtqya60u+/TF55H58094ef3/MLDDQt2uJI8dB8ZsRkVpSfuxKxdLwTIMQqMHWl3/9IEsFJ8/h2V/uA9A6xbrtikks9FksXuKEOI7xAIgVkajMHyjJMYFJowZZbMVAaPXoeliifsD8mFtC3qnLV0OhUplcdlHz/8Fu777Lx7/z/tQ+wegvqoK9VVV0Gm17df56o2/4/lbb2r/eeTU6YhPTcN7Tz2OopwzKMo5g/eeehyJ6aMxZMRIi/Mb9Xp8/PwzePC1f0B0tU5Qyrjx2PzlZ7hUkI/d332LlHHjXfjoCSF8GSST0I4kD0BJjAtERUQgMMDf5mhMQ1E+GBvTTcQxOQcPoLy4yOZU0i9frYGuuRl/vfUm3DU+vf3fTx9/2H6duqoqXOkw6iIUCvHc52sREBKCZ27+HV5aeSuCIyPxzCdfQNhp2Pi///4XRs+agyFpI9qP3fPiKygrLMCfr12MmMRELLzjTqc/ZkIIv2QCAaJpR5JHEGg0Glpt6gJll8uxZedOyG30VfKLHYygYbYXoBJCCPFsyUopIqi4nUegkRgXGRgdhdCQULCsdY7YdKkEpg5TGoQQQryDWiRAuIQqsHsKSmJcaOaUSTDamjriOGjye+7hQwghxLPEy6XUqdqDUBLjQkGBgRg8KBZms/UOFV1lBQz1dTxERQghxBFBYiEG0CiMR6EkxsWmTpwAjrMufgcA9RfOuTkaQgghjoqXS/kOgXRCSYyLKeRyDEtKgtFG+XljgwZaKoBHCCEeL1wigp+YPjI9Df1G3GD8qHSIxbZXsjfk5YJjqSAaIYR4KgGAwQoqbOeJKIlxA7FYjLEjR9gsgGfWtaDpYikPURFCCOmNGGov4LHot+Imw5OToVaqbBbAayzKB2O0TnAIIYTwSy4UYBA1efRYlMS4iUAgwJSJ422OxrAmE+pzz/IQFSGEkO4kKqQQ0ZZqj0VJjBsNGjgQYSHBNgvgtVSUQ1dVyUNUhBBCbAmViGhLtYejJMbNZkyebLsAHoC6c2fA2tjFRAghxL3EAIYoaEu1p6Mkxs0GBAUhLnagzQJ4jEGP+rzzPERFCCGko8EKCWTUpdrjURLDg+mTJ6OrKVZt2UXoa2vcGxAhhJB2/iIhoqjBo1egJIYHcpkMk8ePs7nIFwDqzp4Gaza7OSpCCCFCAElK6o/kLSiJ4UliQgIiQkPBMNYtCcy6FjQU5PEQFSGE9G+D5BKoRPTR6C3oN8UTgUCAuTNngOmiWm9TaREMmno3R0UIIf2Xn0iIWBlNI3kTSmJ4pFQoMGH0qK6nlXJOUUsCQghxAwFoGskbURLDs9RhwxAcFASWtZ5WMmmb0VBUwENUhBDSvwySS6CmaSSvQ78xngkEAsyfNRPmLhbyNhYVwNjU6N6gCCGkH1EJBTSN5KUoifEAfmo1RqWlwWCrCB7HXZ1Wsh6pIYQQ0jdCACkqGYQ0jeSVKInxEKNHjoC/n5/NlgTGxgY0FObzEBUhhPi2oQop7UbyYvSb8xACgQDzZ86AqYu2A41F+dDVVLk5KkII8V3hEhEiaRrJq1ES40GCAgORmpJse1oJQO3pkzDrdW6OihBCfI8cHBKV1BvJ21ES42HGjxoFlVIJjrOeVmJNRtSeOk7rYwghpC9YFql+CohoHYzXoyTGw4hEIsybOQNGo+1pJYOmHpqCC26OihBCfEeiSkbbqX0E/RY9UGhwMMaNSu+yCF5TcSF0VZVujooQQrxfiEiAKJmE7zCIk1AS46FGpg7HwKhImEy268fU5pyEWdfi5qgIIcR7STkWyWo532EQJ6IkxkMJBALMmzEDUqm0i/UxJtTQ+hhCCOkdjsUIfyXEtA7Gp1AS48EkEgkWzZ3d5foYY4MGmrzzbo6KEEK8z1AFrYPxRfQb9XDBAwZg4rgxXa+PKS1GS2WFm6MihBDvESISIFpO62B8ESUxXiBt2DDEDozusr9Sbc4pmFq0bo6KEEI8H62D8W2UxHiJudOnQyqV2Vwfw5nNqDl5DBzD8BAZIYR4JgHDYCStg/FplMR4CbFYjMXz5nS5PsbU1IjanFM2kxxCCOlvOJbFCH8F9UXycfTb9SJBgYGYMmF8l+tjWq6UQ5OX6+aoCCHE8yTKxQiSUF8kX0dJjJdJSUrE4NjYLhtFNpUUouliiXuDIoQQDxJiNiBaSetg+gNKYrzQ7GlTIZfLwbK2p47qz+egpeqKm6MihBD+SbVNSA0J4jsM4iaUxHghkUiEJfPngWGZLtfA1J46DkODxr2BEUIIn7RNmBgVxncUxI0oifFSAf7+WDxvLoxGo83LOZZF9fHDMNPWa0JIP8DqWjAlMhRC2onUr1AS48UiwsIwc8qULhf6skYjqo4fBtNFokMIIb6AMRowISQQEiF9pPU39Bv3ckMT4jE2fWSXiYxZq0XNiaNUQ4YQ4pNYsxkj/RRQ0U6kfomSGB8wesQIJMbHd1lDxqCpQ23OSaohQwjxKRzHIV4MhChoJ1J/RUmMj5gxZTIiwkNh6qI1QcuVCqohQwjxKaEmPeIC/fkOg/CIkhgfIRAIsHDOHKhVKjBdTB1RDRlCiK9QahuRGhbMdxiEZ5TE+BCRSITlC6+BSCTqtoaMtrzMzZERQojziOprMD46gu8wiAegJMbHyGUyLF94Tfc1ZM6chPYyJTKEEO9jrqzA1LgYvsMgHoKSGB/0Ww0Z2wt9AaA25ySaL19yY1SEENI3urJSzBoSBwHVgiFXURLjoyLCwjBzatc1ZACgLucUmssuujEqQghxTFNpEeYkJkAkEvEdCvEglMT4sKHxgzF+9KjuE5mzpymRIYR4tKaSIsxLHgqpVMp3KMTDUBLj49JTUzFuVHrPicylUjdGRQghvdNUWoR5w4ZCLpPxHQrxQJTE9AOj0tIwftQoGLpLZM6dQRMlMoQQD9JUWoy5SUMogSFdoiSmn0hPS8W40aOg13edyNSfO0N1ZAghHqE1gUmAQk7VeEnXKInpR9JTUzFhzOhuR2Tqz+dQIkMI4RUlMKS3KInpZ0amDseEsWNgMHTd2br+fA6aSovdGBUhhLRqKi2iBIb0GiUx/dCIlBRMGje2+xGZ3LNoLCl0Y1SEkP6M4zho8s5jbtIQSmBIr1ES00+lDkvGpHHjuk1kNBfOo/7COep+TQhxKZZhUHfmBBaMGE4JDLELJTH9WOqwZEweP67b7ddNJUWoPX0cXBdNJQkhpC8YowHVxw5h0fixlMAQu1ES088NT07G1Anjux2RablSgaqjh8CYul5HQwgh9jJptag+cgDLpk2hBIY4hJIYgpSkJEydOKHbRMagqUPloQMw61rcGBkhxFfp62pRd/wwls+ZA4VCwXc4xEsJNBoNLXggAICC4mLsydwPqVTSZYM1oVSG0NHjIAsIdG9whBCf0VReBu5SCRbNmQ2xWMx3OMSLURJDLFypqsLmHTshEoogFNpOZARCIYLTRkEZEenm6Agh3q6uIA9B+mbMmDwZQiFNBpC+oSSGWGlobMTGX7aCYZhuO8YGDElCQMJQN0ZGCPFWHMuiOucUEvzVGJM+ku9wiI+gJIbYpDcYsPGXX9CsbYGkm+FeZWQUBgwfCWE3yQ4hpH9jzWZcOXYI44bEY2hCAt/hEB9CSQzpktlsxi87d+FKdTVkUmmX15MGBCJ01FiIZLS7gBBiyazT4crRbMydMA4RYWF8h0N8DCUxpFscxyHzYDZyCwq67SQrkssRkj6WFvwSQtq1VF1BXc4pLJs3F/5+fnyHQ3wQJTGkV86cP4+DR45CJpV2uXMJAgECE4fBPy7evcERQjwKx7Kou3AObPUVLFuwALJuvgAR0heUxJBeK6uowLbduyESirvcuQQAitAwDEhNh6ibKShCiG8y63SoOH4YwTIJFsya1e3mAEL6ipIYYpfGpib8vHUbjEZjt/UdRHI5gkeMhjxogBujI4TwSVddhctHs5E0eDCmThjf9agtIU5CSQyxm9FkwpYdO1BdW9ftgl8IBAhISIR//BB6MyPEh3EsC03+BdTmncfUSRORPGQI3yGRfoKSGOIQjuNw6NgxnDl3HtLu1skAkAeHIDgtnXYvEeKDzHo9Ko8fhkDXgkVz5yIwwJ/vkEg/QuUSfdxrr72GwMBAi3+JiYl9Pq9AIMDEsWOxaN5csBwHppsu1/raGlQcyIS+trrP90sI8Ry6miqU/roDEWolbr52OSUwxO2oaUU/MHToUGzatKn9Z2cutIuOjMSK312Hbbv2oLKmustt2KzRgKqjh+AfPwQBCYkQULlxQrwWx7LQFOSh5sI5TKPpI8IjSmL6AbFYjPDwcJedXy6TYdnCBTh26hSOnz7T7TbsxqICGOrqEDxiFMTUuZYQr2NuaUHlyaMQ6Fpw47JlNPpCeEVfh/uBkpISJCcnY8SIEbj77rtRUlLi9PsQCAQYm56O5dcsAASt1X67YtDU4crBfdBWXHZ6HIQQ1+A4Do2lRSjesx1hSgVNHxGPQAt7fdyOHTvQ3NyMoUOHoqamBv/4xz+Qn5+P7OxsDBjgmu3PRqMR23/9FRVXqiCTdV8rRh4ahgHD0mhUhhAPZmxuQu2Zk9DWVGPKhPEY5oR1dYQ4AyUx/UxzczPS09Px6KOP4uGHH3bZ/XAch1M5Z3H4xInuq/wCEIhECByaDHVsHG3FJsSDcCyLxqIC1OSdh0IqxaJ5cxEYEMB3WIS0ozUx/YxarUZycjKKiopcej8CgQDpaakYGBWJX3btgdFohERi++XGMQzqc89CW3EZA4aPgNSPhqgJ4ZtBU4+6s6fRVFONuNhBmD1tSrcFLgnhA62J6Wf0ej3y8/NdutC3o5DgYNxy3XJER0ZAr9d3e11jgwZXDmZCk3cebDdbtgkhrsOazajPPYuyrL0wNjVi7owZmD9rBiUwxCPRdJKPe+6553DNNddg4MCB7WtiDhw4gP379yM2NtatsRSVlCIzOxtmsxkSiaTb64qVSgxIGQF5cIiboiOE6GqqUXf2FJo1GiTEDcL0yZMh7eFvlRA+URLj4+6++24cOHAAtbW1CAkJwdixY/Hss88iOTmZl3hMJhMys7ORX1QMuUzW4xoYVdRABCalUDNJQlyIMRmhyT0HTWkxpFIZZk+bgujISL7DIqRHlMQQXlypqsLufZnQtrRA1kWBvDZCqRRBycOhiox2U3SE9B/aisuoO38WuuYmDEscisnjxlHnaeI1KIkhvGEYBkdPnsTps+chkYgh7KGKrzwkFIFJKZCq/dwUISG+S///7d3rT1tngsfxr+3jc2wfg7nfAoRQcps2bdM2O5Nqdzsvdv/qlVa7mxdtVm0zbZMJSUgJCXcbMBjb5/7MCwhJJ60wCSQc+H0khI2NdKRI5pvz3LY2qD96SKO6Trnk8h9//XcG+/s/9GWJHIkiRj647Z0G//W//8PmVv0Pjy14nXthgspHV7S3jMhbCHd3qT9+SHNtlTAM+eyTP/HV558f+p8IkdNIESOngjGGB7Oz/P+9e2TIHHo7O5PNUr54icqlj8jmNV9G5DCx77P99DG7i8/xPI/eSg//+ddvtOuupJoiRk6Vtufx33fusLS8SqFw+F2ZjJWnMj1D1+QUGY3ji7whiSIaC7+yM/+UKAhIkoQvP/+Mzz7+WJtLSuopYuRUml9Y4M53d/GDAKeDlUm5QoHKzFXcsXF9MIuwt9tuc3mR7blHhG2PIAiYmhzn3/7yF4oaipUzQhEjp1Ycx/z488/88nAWkySH7i0DkC930XPlGsXB97OZn8hp1K6uUX88S9DYwfN9hgcH+ebr2/T29HzoSxM5VooYOfWCIOC773/g0dxTLCvX0fJPp7ePnivXcXp638MVipwO/nad+uOH+JsbeL5Pd1cX//rnf2F8bOxDX5rIiVDESGq02m3ufPsdC4uL2Pl8R6spisMjVKYvY3fr0Do5u7zNDXbm5/Bq1YMh2D9/cZMrMzMaXpUzTREjqbNVr/N/337H6vp6R7v+Ajh9/XRPTVMYGNKHupwZ7fU1tufnCOpbhGFEJgs3rl/ni08/1YZ1ci4oYiS1VlbXuHP3LvV6nUKh0NHvWG6Z7qlp3NELWs0kqWSShNbaCjvzc4SNBnGcEEUhlz+a5utbt7B1RIecI4oYSTVjDPMLC3z7/Q+0Wm0cp7MP8Kxt0zV5ifLERZ3LJKmQRBHNpRfsLMwTt1skicEPfMbHRvnm9teUy+6HvkSR904RI2dCkiQ8mJ3l3i/38Tyv4zszmWwW98IEXVPT5Ev6IyCnT9Ru03j+jN3FBUwUkSQJQRAyMjzI7Vu3dFSAnGuKGDlT4jjm4ePH/Pz3hzR2dzueMwNQHBqhe2oap7fvhK9S5HD+dp3Gwq+0VlfAGOI4JowiJsbGuH3rK3oqmqwuooiRM8kYw/PFJb7/29+obWziOHbHZ8PYlR66Lk5TGhrWvBl5r5IwpLW6zO7SC4LtOgBhFGGMYWpigttffYnr6o6hyEuKGDnzNjY3ufvDjyyurGDlLCyrszDJWBbuyBju2LjuzsiJMcbgbdRoLr+gvbaKSRIA/CAgb1lMX7zIrS9uUuxwiFTkPFHEyLnRare5+8OPzC8skBiD3cEOwC9ZpRLu2Dju6DhWqXSCVynnRdjcpbm0SHN5kdj3gP2g8X3KrsvHV6/yyfVrWJb1ga9U5PRSxMi5E4QhP92/z+yTOdqeR8E5/KDJ1zm9fbhj45RGRslanYeQyMFw0fIiQX3r1c8Tg+979Pf38+WnnzI1OaH9jEQ6oIiRcytJEp48fcq9+/epb+9QcJyO583A3sqm4vAI7tg4hb4BMkf4XTk/Xg0XLdJeWzkYLgLwfJ9cNsvoyDC3bt7USiORI1LEyLlnjGG9VuOn+w9YXl3F9wMKhc5XNQHkHIfS6AXc0Qs64kAwSYJf36JdXaO1ukzseQevRVFMGIX09/Zy7fJlrs581NHhpiLyJkWMyGviOGZ+4TkPHj1ivVYjA0feATXnFCgMDlEcGKLQP0BWcxrOhTgI8GpV2rU12tUqJgoPXjPG4HkepVKJqckJbt64QVmrjETemSJG5A94vs+Dh7PMPXtGvV7Htu2jn0eTyeD09lPcj5p8uXwyFysfRLDbwKuu0V5fx69vvvG65/vkcjlGh4b47JOPGRsZ0VwXkWOkiBHpQH17m3u/3OfF0hKtdptiofBWf4ysYungLo3T109W+9CkioljvK0N2tV12tU14nb7jfe8HC7q6+nl+pUZrs7MaLhI5IQoYkSOwBjD0soKP93/O6vVdeIowjnCrsCvy2SzOH0DB3dptHT79DHGEDV38bc2adfW8TZqmDh+431RFBGEIV1umcnxMT6/cYMu3XUTOXGKGJG3FIYhvy4sMDf/jNrmBu22h/M2Q077ck4Bu9KD09ODXenB7u7RfJr3LA4Dgnodf3uLoL6Fv13HRNEb7zPG4AcBGTL09lS4MDbKn65coburS8NFIu+RIkbkGBhjqNY2mH3yhNX1deo7OwA4tv1Of9Ty5a79sOnFrvSQd8tayn1MTJIQNnfx6y+DZYuo2fzD9ydJguf7FByHgb4+Zi5d4tLFSZwj7jMkIsdHESNyAtqex9P5Z8w/f05tYxPP9ykWjrYPze/J5HLY3RXsSi9OZe+OjVUsHtNVn22R1ybc2cHfD5Zgu/67Q0OvC8KQOI7p7iozMjjEtSuXGR4cfOd/RxE5HooYkROWJAlr1Sqzj5+wWq2y02iQzWSx7fyxDD1kbZu8W8Zyy+Rdl3xp77FVLJ67uzZxEBA1dwlbTaJWk7C59z1qNQ8NFthbYu8HAZZl0d/by8SFMa5dvqzl0CKnlCJG5D1rtlrMzc+zvLLC9k6DRrNJHMfvNJ/md2UyWCUXq1TCKr78Kh48zqZ0xUwShUTN5huhEjabv9mb5TDGGHw/wBhDoejQ011hoK+XqclJhgYGtKJIJAUUMSIfWBiGrNdqPHvxgtrGJjuNBq39pbuO7ZDNnsxE0YyVxyoUyOZtsvn8qy8r/9vnL1/f//lxTlxNoogkDEjCkDgIDh4nQUAc7j8PQpJw/3kQYuI3J9p2Iopi/MAnn8/TXS7TU6kwcWGM8bExyq6rCbkiKaSIETmFmq0WK6urPF9aYrNep9HYxfcDclYO+5hD4qgylrUXNbnXVk4Zw6sPEgO/+VQx//RjA0lCHIRgEk5CHCf4gU82k6VYLFDp7mZwoJ9LE5MM9PfpZGiRM0IRI5ICSZKw3Wiw8OIFa+vrNFttmq0Wnu8TR9HenjO2fa4mnCZJQhCExEmMlcvhOA6lYhG3VKKrXGZkeIjRoSFczWcRObMUMSIpFoYhO7u7VGs11tarNJpN2u02ba+N54eYJCYxBjtvY1m51A2ZJIkhjEKiKCKX27sL5RZLlEpFyq7L8OAgAwP9dHd1YWsOi8i5o4gROaOiKGK32WR7Z4fqxgb17R08zyOMI6IgItiPgyiKiJMEYwwmSTBANpsll82Ry+XIZjPHEj9JkhBFMXEcEycx2UyWbC5LNpMhZ1nYlkU+n8e2bSzLws7nsfN5+vt6GRocpNLd/c777ojI2aKIETnnjDGEUUQQBARBgOcHNJtNmq0WzVYTzw8Io5A4il8FxP73lzmR+acHGX4bGrn94Z4u16Vcdim7LgXHwbHttztYU0QERYyIiIik1PmZBSgiIiJniiJGREREUkkRIyIiIqmkiBEREZFUUsSIiIhIKiliREREJJUUMSIiIpJKihgRERFJJUWMiIiIpJIiRkRERFJJESMiIiKppIgRERGRVFLEiIiISCopYkRERCSVFDEiIiKSSooYERERSSVFjIiIiKSSIkZERERSSREjIiIiqaSIERERkVRSxIiIiEgqKWJEREQklRQxIiIikkqKGBEREUklRYyIiIikkiJGREREUkkRIyIiIqmkiBEREZFUUsSIiIhIKiliREREJJUUMSIiIpJKihgRERFJJUWMiIiIpJIiRkRERFJJESMiIiKppIgRERGRVFLEiIiISCopYkRERCSV/gHHEsEod2SQoAAAAABJRU5ErkJggg==",
+      "text/plain": [
+       "<Figure size 1080x648 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "#visualisiert die prozentuale Verteilung nach Anzahl der Sterne\n",
+    "\n",
+    "colors = ['lightskyblue', 'teal', 'darkgrey', 'cadetblue', 'powderblue']\n",
+    "alexa.groupby(\"rating\").feedback.count().plot(colors=colors,kind=\"pie\",shadow=True,autopct='%1.1f%%',explode=(0.1,0.1,0.1,0.1,0.1))\n",
+    "plt.title(\"Prozentuale Verteilung nach Anzahl der Sterne\")\n",
+    "\n",
+    "\n",
+    "# ## Rating vs. Länge\n",
+    "# \n",
+    "# "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 77,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Text(0.5, 1.0, 'Rating vs. Länge')"
+      ]
+     },
+     "execution_count": 77,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1080x648 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "#veranschaulicht die Verteilung der Bewertungen nach Sternevergabe und Länge\n",
+    "\n",
+    "colors = ['lightskyblue', 'teal', 'darkgrey', 'cadetblue', 'powderblue']\n",
+    "alexa.groupby(\"rating\").length.mean().plot(color= colors,kind=\"bar\")\n",
+    "plt.title(\"Rating vs. Länge\")\n",
+    "\n",
+    "\n",
+    "# ## Variation vs. Rating "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 78,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1080x648 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.rcParams['figure.figsize'] = (15, 9)\n",
+    "\n",
+    "sns.boxenplot(alexa['variation'], alexa['rating'], palette = 'ocean')\n",
+    "plt.title(\"Variation vs Ratings\")\n",
+    "plt.xticks(rotation = 60)\n",
+    "plt.show()\n",
+    "\n",
+    "\n",
+    "# ## Variation vs. Länge "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 79,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1080x648 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.swarmplot(alexa['variation'], alexa['length'], palette = 'ocean')\n",
+    "plt.title(\"Variation vs Length of Ratings\")\n",
+    "plt.xticks(rotation = 90)\n",
+    "plt.show()\n",
+    "\n",
+    "\n",
+    "# ## Feedback vs. Länge\n",
+    "# "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 80,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 864x504 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "\n",
+    "warnings.filterwarnings('ignore')\n",
+    "\n",
+    "plt.rcParams['figure.figsize'] = (12, 7)\n",
+    "\n",
+    "sns.stripplot(alexa['feedback'], alexa['length'], palette = 'ocean')\n",
+    "plt.title(\"Feedback vs. Länge\")\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 81,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "2893"
+      ]
+     },
+     "execution_count": 81,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "sum(alexa['feedback'] == 1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 82,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<seaborn.axisgrid.FacetGrid at 0x18d5e8bd1c0>"
+      ]
+     },
+     "execution_count": 82,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 360x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.lmplot(x='length',y='rating',data=alexa)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 83,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1080x432 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# CountVectorizer zeigt die am häufigsten verwendeten Wörter\n",
+    "\n",
+    "cv = CountVectorizer(stop_words = 'english')\n",
+    "words = cv.fit_transform(alexa.verified_reviews)\n",
+    "sum_words = words.sum(axis=0)\n",
+    "\n",
+    "words_freq = [(word, sum_words[0, idx]) for word, idx in cv.vocabulary_.items()]\n",
+    "words_freq = sorted(words_freq, key = lambda x: x[1], reverse = True)\n",
+    "frequency = pd.DataFrame(words_freq, columns=['word', 'freq'])\n",
+    "\n",
+    "color = plt.cm.ocean(np.linspace(0, 1, 20))\n",
+    "frequency.head(20).plot(x='word', y='freq', kind='bar', figsize=(15, 6), color=color)\n",
+    "plt.title(\"Die meist verwendeten Wörter - Top 20\")\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 84,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 720x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "#Visualisiert die meist verwendeten Wörter\n",
+    "\n",
+    "wordcloud = WordCloud(background_color = 'lightcyan', width = 2000, height = 2000).generate_from_frequencies(dict(words_freq))\n",
+    "\n",
+    "plt.style.use('fivethirtyeight')\n",
+    "plt.figure(figsize=(10, 10))\n",
+    "plt.axis('off')\n",
+    "plt.imshow(wordcloud)\n",
+    "plt.title(\"Verwendete Wörter\", fontsize = 20)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 85,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.image.AxesImage at 0x18d001c2490>"
+      ]
+     },
+     "execution_count": 85,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 720x576 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "#visualisiert positive Bewertungen\n",
+    "good=alexa[alexa.feedback==1].verified_reviews.unique().tolist()\n",
+    "good=\" \".join(good)\n",
+    "cv=WordCloud().generate(good)\n",
+    "cv\n",
+    "plt.figure(figsize=(10,8))\n",
+    "plt.imshow(cv)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 86,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>rating</th>\n",
+       "      <th>date</th>\n",
+       "      <th>variation</th>\n",
+       "      <th>verified_reviews</th>\n",
+       "      <th>feedback</th>\n",
+       "      <th>length</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>5</td>\n",
+       "      <td>31-Jul-18</td>\n",
+       "      <td>Charcoal Fabric</td>\n",
+       "      <td>Love my Echo!</td>\n",
+       "      <td>1</td>\n",
+       "      <td>13</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>5</td>\n",
+       "      <td>31-Jul-18</td>\n",
+       "      <td>Charcoal Fabric</td>\n",
+       "      <td>Loved it!</td>\n",
+       "      <td>1</td>\n",
+       "      <td>9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>4</td>\n",
+       "      <td>31-Jul-18</td>\n",
+       "      <td>Walnut Finish</td>\n",
+       "      <td>\"Sometimes while playing a game, you can answe...</td>\n",
+       "      <td>1</td>\n",
+       "      <td>197</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>5</td>\n",
+       "      <td>31-Jul-18</td>\n",
+       "      <td>Charcoal Fabric</td>\n",
+       "      <td>\"I have had a lot of fun with this thing. My 4...</td>\n",
+       "      <td>1</td>\n",
+       "      <td>174</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>5</td>\n",
+       "      <td>31-Jul-18</td>\n",
+       "      <td>Charcoal Fabric</td>\n",
+       "      <td>Music</td>\n",
+       "      <td>1</td>\n",
+       "      <td>5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3145</th>\n",
+       "      <td>5</td>\n",
+       "      <td>30-Jul-18</td>\n",
+       "      <td>Black  Dot</td>\n",
+       "      <td>\"Perfect for kids, adults and everyone in betw...</td>\n",
+       "      <td>1</td>\n",
+       "      <td>52</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3146</th>\n",
+       "      <td>5</td>\n",
+       "      <td>30-Jul-18</td>\n",
+       "      <td>Black  Dot</td>\n",
+       "      <td>\"Listening to music, searching locations, chec...</td>\n",
+       "      <td>1</td>\n",
+       "      <td>137</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3147</th>\n",
+       "      <td>5</td>\n",
+       "      <td>30-Jul-18</td>\n",
+       "      <td>Black  Dot</td>\n",
+       "      <td>\"I do love these things, i have them running m...</td>\n",
+       "      <td>1</td>\n",
+       "      <td>443</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3148</th>\n",
+       "      <td>5</td>\n",
+       "      <td>30-Jul-18</td>\n",
+       "      <td>White  Dot</td>\n",
+       "      <td>\"Only complaint I have is that the sound quali...</td>\n",
+       "      <td>1</td>\n",
+       "      <td>382</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3149</th>\n",
+       "      <td>4</td>\n",
+       "      <td>29-Jul-18</td>\n",
+       "      <td>Black  Dot</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>1</td>\n",
+       "      <td>4</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>3150 rows × 6 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      rating       date         variation  \\\n",
+       "0          5  31-Jul-18  Charcoal Fabric    \n",
+       "1          5  31-Jul-18  Charcoal Fabric    \n",
+       "2          4  31-Jul-18    Walnut Finish    \n",
+       "3          5  31-Jul-18  Charcoal Fabric    \n",
+       "4          5  31-Jul-18  Charcoal Fabric    \n",
+       "...      ...        ...               ...   \n",
+       "3145       5  30-Jul-18        Black  Dot   \n",
+       "3146       5  30-Jul-18        Black  Dot   \n",
+       "3147       5  30-Jul-18        Black  Dot   \n",
+       "3148       5  30-Jul-18        White  Dot   \n",
+       "3149       4  29-Jul-18        Black  Dot   \n",
+       "\n",
+       "                                       verified_reviews  feedback  length  \n",
+       "0                                         Love my Echo!         1      13  \n",
+       "1                                             Loved it!         1       9  \n",
+       "2     \"Sometimes while playing a game, you can answe...         1     197  \n",
+       "3     \"I have had a lot of fun with this thing. My 4...         1     174  \n",
+       "4                                                 Music         1       5  \n",
+       "...                                                 ...       ...     ...  \n",
+       "3145  \"Perfect for kids, adults and everyone in betw...         1      52  \n",
+       "3146  \"Listening to music, searching locations, chec...         1     137  \n",
+       "3147  \"I do love these things, i have them running m...         1     443  \n",
+       "3148  \"Only complaint I have is that the sound quali...         1     382  \n",
+       "3149                                               Good         1       4  \n",
+       "\n",
+       "[3150 rows x 6 columns]"
+      ]
+     },
+     "execution_count": 86,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "alexa"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 87,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.image.AxesImage at 0x18d078dff40>"
+      ]
+     },
+     "execution_count": 87,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 720x576 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "#visualisiert positive Bewertungen\n",
+    "good=alexa[alexa.feedback==1].verified_reviews.unique().tolist()\n",
+    "good=\" \".join(good)\n",
+    "cv=WordCloud().generate(good)\n",
+    "cv\n",
+    "plt.figure(figsize=(10,8))\n",
+    "plt.imshow(cv)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 88,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.image.AxesImage at 0x18d0015bca0>"
+      ]
+     },
+     "execution_count": 88,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 720x576 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "#visualisiert negative Bewertunegen\n",
+    "bad=alexa[alexa.feedback==0].verified_reviews.unique().tolist()\n",
+    "bad=\" \".join(bad)\n",
+    "cv=WordCloud().generate(bad)\n",
+    "cv\n",
+    "plt.figure(figsize=(10,8))\n",
+    "plt.imshow(cv)\n",
+    "\n",
+    "\n",
+    "# # Meachine Learning Model Teil"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 89,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['i',\n",
+       " 'me',\n",
+       " 'my',\n",
+       " 'myself',\n",
+       " 'we',\n",
+       " 'our',\n",
+       " 'ours',\n",
+       " 'ourselves',\n",
+       " 'you',\n",
+       " \"you're\",\n",
+       " \"you've\",\n",
+       " \"you'll\",\n",
+       " \"you'd\",\n",
+       " 'your',\n",
+       " 'yours',\n",
+       " 'yourself',\n",
+       " 'yourselves',\n",
+       " 'he',\n",
+       " 'him',\n",
+       " 'his',\n",
+       " 'himself',\n",
+       " 'she',\n",
+       " \"she's\",\n",
+       " 'her',\n",
+       " 'hers',\n",
+       " 'herself',\n",
+       " 'it',\n",
+       " \"it's\",\n",
+       " 'its',\n",
+       " 'itself',\n",
+       " 'they',\n",
+       " 'them',\n",
+       " 'their',\n",
+       " 'theirs',\n",
+       " 'themselves',\n",
+       " 'what',\n",
+       " 'which',\n",
+       " 'who',\n",
+       " 'whom',\n",
+       " 'this',\n",
+       " 'that',\n",
+       " \"that'll\",\n",
+       " 'these',\n",
+       " 'those',\n",
+       " 'am',\n",
+       " 'is',\n",
+       " 'are',\n",
+       " 'was',\n",
+       " 'were',\n",
+       " 'be',\n",
+       " 'been',\n",
+       " 'being',\n",
+       " 'have',\n",
+       " 'has',\n",
+       " 'had',\n",
+       " 'having',\n",
+       " 'do',\n",
+       " 'does',\n",
+       " 'did',\n",
+       " 'doing',\n",
+       " 'a',\n",
+       " 'an',\n",
+       " 'the',\n",
+       " 'and',\n",
+       " 'but',\n",
+       " 'if',\n",
+       " 'or',\n",
+       " 'because',\n",
+       " 'as',\n",
+       " 'until',\n",
+       " 'while',\n",
+       " 'of',\n",
+       " 'at',\n",
+       " 'by',\n",
+       " 'for',\n",
+       " 'with',\n",
+       " 'about',\n",
+       " 'against',\n",
+       " 'between',\n",
+       " 'into',\n",
+       " 'through',\n",
+       " 'during',\n",
+       " 'before',\n",
+       " 'after',\n",
+       " 'above',\n",
+       " 'below',\n",
+       " 'to',\n",
+       " 'from',\n",
+       " 'up',\n",
+       " 'down',\n",
+       " 'in',\n",
+       " 'out',\n",
+       " 'on',\n",
+       " 'off',\n",
+       " 'over',\n",
+       " 'under',\n",
+       " 'again',\n",
+       " 'further',\n",
+       " 'then',\n",
+       " 'once',\n",
+       " 'here',\n",
+       " 'there',\n",
+       " 'when',\n",
+       " 'where',\n",
+       " 'why',\n",
+       " 'how',\n",
+       " 'all',\n",
+       " 'any',\n",
+       " 'both',\n",
+       " 'each',\n",
+       " 'few',\n",
+       " 'more',\n",
+       " 'most',\n",
+       " 'other',\n",
+       " 'some',\n",
+       " 'such',\n",
+       " 'no',\n",
+       " 'nor',\n",
+       " 'not',\n",
+       " 'only',\n",
+       " 'own',\n",
+       " 'same',\n",
+       " 'so',\n",
+       " 'than',\n",
+       " 'too',\n",
+       " 'very',\n",
+       " 's',\n",
+       " 't',\n",
+       " 'can',\n",
+       " 'will',\n",
+       " 'just',\n",
+       " 'don',\n",
+       " \"don't\",\n",
+       " 'should',\n",
+       " \"should've\",\n",
+       " 'now',\n",
+       " 'd',\n",
+       " 'll',\n",
+       " 'm',\n",
+       " 'o',\n",
+       " 're',\n",
+       " 've',\n",
+       " 'y',\n",
+       " 'ain',\n",
+       " 'aren',\n",
+       " \"aren't\",\n",
+       " 'couldn',\n",
+       " \"couldn't\",\n",
+       " 'didn',\n",
+       " \"didn't\",\n",
+       " 'doesn',\n",
+       " \"doesn't\",\n",
+       " 'hadn',\n",
+       " \"hadn't\",\n",
+       " 'hasn',\n",
+       " \"hasn't\",\n",
+       " 'haven',\n",
+       " \"haven't\",\n",
+       " 'isn',\n",
+       " \"isn't\",\n",
+       " 'ma',\n",
+       " 'mightn',\n",
+       " \"mightn't\",\n",
+       " 'mustn',\n",
+       " \"mustn't\",\n",
+       " 'needn',\n",
+       " \"needn't\",\n",
+       " 'shan',\n",
+       " \"shan't\",\n",
+       " 'shouldn',\n",
+       " \"shouldn't\",\n",
+       " 'wasn',\n",
+       " \"wasn't\",\n",
+       " 'weren',\n",
+       " \"weren't\",\n",
+       " 'won',\n",
+       " \"won't\",\n",
+       " 'wouldn',\n",
+       " \"wouldn't\"]"
+      ]
+     },
+     "execution_count": 89,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "stopwords.words('english')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 90,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "corpus = []\n",
+    "stop_words = set(stopwords.words('english'))\n",
+    "stop_words.remove('not')\n",
+    "for i in range(0, len(alexa)):\n",
+    "    review = re.sub('[^a-zA-Z]', ' ', alexa['verified_reviews'][i])\n",
+    "    review = review.lower()\n",
+    "    review = review.split()\n",
+    "    ps = PorterStemmer()\n",
+    "    review = [ps.stem(word) for word in review if not word in stop_words]\n",
+    "    review = ' '.join(review)\n",
+    "    corpus.append(review)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 91,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['love echo',\n",
+       " 'love',\n",
+       " 'sometim play game answer question correctli alexa say got wrong answer like abl turn light away home',\n",
+       " 'lot fun thing yr old learn dinosaur control light play game like categori nice sound play music well',\n",
+       " 'music',\n",
+       " 'receiv echo gift need anoth bluetooth someth play music easili access found smart speaker wait see els',\n",
+       " 'without cellphon cannot use mani featur ipad not see use great alarm u r almost deaf hear alarm bedroom live room reason enough keep fun ask random question hear respons not seem smartbon polit yet',\n",
+       " 'think th one purchas work get one everi room hous realli like featur offer specifili play music echo control light throughout hous',\n",
+       " 'look great',\n",
+       " 'love listen song heard sinc childhood get news weather inform great',\n",
+       " 'sent year old dad talk constantli',\n",
+       " 'love learn knew thing eveyday still figur everyth work far easi use understand make laugh time',\n",
+       " 'purchas mother knee problem give someth tri come not get around fast like enjoy littl big thing alexa play song time cook',\n",
+       " 'love love love',\n",
+       " 'expect',\n",
+       " 'love wife hate',\n",
+       " 'realli happi purchas great speaker easi set',\n",
+       " 'use alexa coupl day lot fun new toy like new household member tri learn differ featu benefit come',\n",
+       " 'love size nd gener echo still need littl improv sound',\n",
+       " 'like origin echo shorter greater fabric color choic miss volum ring top plu minu button not big deal ring w comfort well like use standard usb charger port instead previou round pin guess sound seem work still answer alexa echo comput not like',\n",
+       " 'love echo good music sound play alexa understand command difficult time find specif playlist song spotifi good amazon music lack major program',\n",
+       " 'love alexa use play music play radio itun play podcast anypod set remind listen flash brief news weather everi morn reli custom list like abl voic control volum sure continu find new use sometim bit frustrat alexa understand say',\n",
+       " 'set day still ad smart home devic speaker great play music like size station kitchen counter not intrus look',\n",
+       " 'love play sleep sound immedi ask',\n",
+       " 'got second unit bedroom expect sound improv didnt realli see differ overal not big improv st gener',\n",
+       " 'amaz product',\n",
+       " 'love echo easi oper load fun everyth advertis use mainli play favorit tune test alexa knowledg',\n",
+       " 'sound great love',\n",
+       " 'fun item play get use use sometim hard time answer question ask think better',\n",
+       " 'like one',\n",
+       " 'still learn capabl far pretti pretti pretti good',\n",
+       " 'like',\n",
+       " 'work well need learn command uniqu owner user like alexa learn tasha birthday alexa learn definit fine etc great',\n",
+       " 'speaker sound pretti good small setup pretti easi bought two reason rate follow instruct synch music unit know done correctli sync primari motiv purchas multipl unit',\n",
+       " 'devic awesom',\n",
+       " 'bought compar speaker qualiti first gener speaker like sound better ship daughter though like fact first gener chargeabl base bought keep mobil need better sound',\n",
+       " 'love echo still learn thing abl follow instruct includ packag found great one u tube',\n",
+       " 'speaker better st gener echo',\n",
+       " 'thing way cool get one want cool',\n",
+       " 'first digit assist give good review speaker realli good cheap price prime day fun play use alarm clock go get first place end echo go one definit tri like best number devic connect purchas came smart plug connect lamp alexa turn light',\n",
+       " 'husband like abl use listen music wish knew capabl',\n",
+       " 'android would not allow alexa connect fortun sister appl cell hour tech support fix glitch run',\n",
+       " 'far good',\n",
+       " 'tri play certain broadway show like camelot give ne group camelot',\n",
+       " 'great',\n",
+       " 'satisfi echo alexa control light famili room wife listen jimmi buffet ask alexa',\n",
+       " 'like siri fact siri answer accur alexa see real need household though good bargain prime day deal',\n",
+       " 'love echo still learn everi thing work ton fun',\n",
+       " 'love much',\n",
+       " 'differ appl play specif list music must amazon spotifi plu prime etc account must pay play music star reason everyth els',\n",
+       " 'excelent lo unico es que esta en espa ol',\n",
+       " 'still learn use far echo great sound actual much better expect',\n",
+       " 'work expect also good sound qualiti consid price sale featur',\n",
+       " 'sound echo nd gener phenomen not mention love alexa help',\n",
+       " 'like googl better',\n",
+       " 'let play learn get',\n",
+       " 'work advertis easi setup still learn',\n",
+       " 'great sound easi set',\n",
+       " 'love alexa bought other friend',\n",
+       " 'love echo purchas compani husband alexa great say name tell joke play favorit song',\n",
+       " '',\n",
+       " 'love abl listen music easili still learn featur avail',\n",
+       " 'realli know could use devic use thing need overview',\n",
+       " 'love wish built hub',\n",
+       " 'use primarili play music work wonder still get use mani thing amazon sent sever tip sinc got thank help',\n",
+       " 'easi set',\n",
+       " 'fast respons amaz clear concis answer sound qualiti fantast still get use alexia not usd echo full extent',\n",
+       " 'need na na nana',\n",
+       " 'everyth expect',\n",
+       " 'love echo work like said would smart home cannot speak function everyth els good',\n",
+       " 'great sound small packag easi set use fun',\n",
+       " 'work sound great',\n",
+       " 'sound amaz mani collect music',\n",
+       " 'set',\n",
+       " 'alway listen',\n",
+       " 'awesom',\n",
+       " 'bought control fio televis work well hope time control fio discov thing alexa play music ask great sound alexa play game play radio station play old time radio program like long ranger alexa mani app add abil day play madlib great fun also alexa control household applianc purchas alexa compat power strip control light fan tv compon look forward implement control also add alexa compon chosen music play room compon locat',\n",
+       " 'speaker excel sound work perfectli',\n",
+       " 'like',\n",
+       " 'love everyth',\n",
+       " 'littl nervou receiv new echo not realli tech savvi found bit intimid first take long figur happi purchas think ad echo spot',\n",
+       " 'like still learn use',\n",
+       " 'great technolog believ speaker volum qualiti wonder wish bought anoth one',\n",
+       " 'purchas echo dot husband father day use constantli hear qualiti sound echo nd gener brainer best gift ever',\n",
+       " 'work fine',\n",
+       " '',\n",
+       " 'clear music',\n",
+       " 'fun use good sound qualiti',\n",
+       " 'echo work well abl sync amazon music devic',\n",
+       " 'work great think amazon charg anoth cent unlimit music prime buy echo',\n",
+       " 'alreadi echo dot echo even better fuller sound also setup let phone call made contact list great',\n",
+       " 'speaker sound realli good',\n",
+       " 'good sound work well',\n",
+       " 'love alexa not savvi support help patient',\n",
+       " 'love think get one prime day discount offer could not pass fun ask alexa play song group come playlist amazon prime music also connect iphon bluetooth play music pandora youtub video use alexa speaker fun ask alexa differ type question inform like weather news even time countri downsid limit data wifi plan alexa use burn play music',\n",
+       " 'like far lot tri yet',\n",
+       " 'love use strictli music great',\n",
+       " 'love echo love size materi speaker qualiti hook one light easili work addit light thermostat next echo dot bedroom lot echo think traffic weather trivia etc',\n",
+       " 'love',\n",
+       " 'entir famili love alexa echo part famili',\n",
+       " 'great fun get know function product wow famili fun homework help talk grandchildren also echo huge bonu wait learn',\n",
+       " 'love',\n",
+       " 'awesom thing love alexa',\n",
+       " 'work exactli expect speaker great sound perfect classroom',\n",
+       " 'love love new littl gadget made live much easier like person secretari live home hardli need cd anymor sinc alexa play everyth need go get alexa dot soon room thank',\n",
+       " 'speaker surpris qualiti happi purchas',\n",
+       " 'easi set work wonder love',\n",
+       " 'realli impress sound qualiti play music devic bass sound almost like come bigger speaker prop amazon',\n",
+       " 'still great product sound qualiti seem wors get wrong definit get use within hour definit feel like echo gen sound qualiti better besid great addit abl play bluetooth wifi even better',\n",
+       " 'outlet not work disappoint',\n",
+       " 'great devic respons help',\n",
+       " 'sound terribl u want good music get bose',\n",
+       " 'like sound troubl paid extra money access million song sometim work ex alexa play italian song understand play opera tosca respons sorri',\n",
+       " 'easi set use bad plug would nice take outsid oper batteri recharg',\n",
+       " 'still learn way use real hit grandkid ask play music danc yr cute',\n",
+       " 'star gener like product great ask like play music set timer make call reason rate sometim connect die echo stop play music show red ring seem connect issu overal great product',\n",
+       " 'work great upgrad echo dot full size echo happier',\n",
+       " 'alexa els say',\n",
+       " 'upgrad lilttl echo dot happi sound',\n",
+       " 'excel product set eas well',\n",
+       " 'first gen echo sinc first came work well purchas nd gen prime day far happi seem improv speaker provid enhanc sound music',\n",
+       " 'love echo smart speaker love volum clariti easi set wonder gift age',\n",
+       " 'wonder product fast deliveri',\n",
+       " 'initi harder set call tech knowledg work great',\n",
+       " 'easi set famili love',\n",
+       " 'great sound respons voic command',\n",
+       " 'live long without echo get enjoy music style ask alexa go gread wireless love echo love alexa',\n",
+       " 'cool product speaker sound good spotifi blast',\n",
+       " 'much fun alexa love abl listen music across room busi someth els',\n",
+       " 'far seem nice item pick voic understand without problem day ask turn music next room heard fine use listen music check weather done thing well',\n",
+       " 'love echo',\n",
+       " 'love help use rememb thing sleep ask anyth week still learn',\n",
+       " 'better st gen everi way except one realli miss ring top volum control quicker easier grab top twist without look button find one press time also wish bass bit better great devic happi',\n",
+       " 'love alexa',\n",
+       " 'far like',\n",
+       " 'thoroughli enjoy ecoo love read audiobook offic simpli open audiobook kindl continu elsewher wonder listen music not mood book great set remind much',\n",
+       " 'still love',\n",
+       " 'love',\n",
+       " 'love sound qualiti unit clear sound',\n",
+       " 'listen talk radio morn turn light etc system excel job full hous sound system stream siriu',\n",
+       " 'week still learn alexa learn process love music call time listen podcast radio station start keep shop list groceri list love search paper pencil get time temperatur great not wait weather report sound good not fussi woofer tweeter base etc echo fine afternoon go tri drop son get home go surpris',\n",
+       " 'not much featur',\n",
+       " 'great sound qualiti great featur great product multi room music cool',\n",
+       " 'cool',\n",
+       " 'everyon echo two three bought echo qvc',\n",
+       " 'annoy everyth show alexa abl download spend much time tri figur phrase machin may well look',\n",
+       " 'alexa sinc begin accident spill water replac nd gener decid without echo setup easi work within minut',\n",
+       " 'like abl tell alexia music want hear sometim troubl find song not specif titl',\n",
+       " 'like look better origin echo move old echo basement famili room nice sound',\n",
+       " 'echo wonder still learn use music request somewhat limit',\n",
+       " 'know half thing ask recogn sprinkler wifi control even though product detail say compat program chang wifi thermostat set match wifi router handi music player amazon music',\n",
+       " 'love',\n",
+       " 'awesom understand kid',\n",
+       " 'pleasantli surpris sound qualiti mani featur nice easili hear particular artist hear book simpl command look forward explor option devic',\n",
+       " 'met exceed expect easi set realli quick respons',\n",
+       " 'like fact get kind music prime want request alexa like inform photo littl pamphlet wish includ connect tv etc command alexa realli love music',\n",
+       " 'not found way access echo thorough prime account think part top line video music etc also think setup app defin exampl music like not well integr echo tri ask playlist echo not sure even though set play list set also not like fact word exact match playlist name never rememb like readi natur echo respond queri',\n",
+       " 'great item ad audibl book make even better thank',\n",
+       " 'prime day nd gen echo sale resist begin smart home set happier say alexa done amaz job connect smart devic thank control light smart plug tv etc troubl connect echo wifi phone app work perfectli fine let add skill routin smart devic timer much sound qualiti good enough sinc not audiophil alexa hear voic even watch movi high volum design great modern definit add nice touch home chang cover like sale overal great addit home enabl mani possibl yet sure add alexa home',\n",
+       " 'versatil fun',\n",
+       " 'work great killer speaker wife son love',\n",
+       " 'regret wait long purchas item surpris pleas sound qualiti',\n",
+       " 'stop work week follow command realli fun work',\n",
+       " 'far love work get thing set love groceri list app',\n",
+       " 'perform pretti much expect disappoint not provid terminolog need play variou kind music without subscrib amazon music servic understand music choic may limit without know ask cannot access music provid free along echo purchas chart show languag need use',\n",
+       " 'easi set',\n",
+       " 'like product except speaker not high qualiti expect',\n",
+       " 'great invest alexa help made laugh',\n",
+       " 'yet anoth exho home love',\n",
+       " 'love plan gender music big band jazz not easi find local radio sound good stop voic command get phone call',\n",
+       " 'good valu',\n",
+       " 'super easi set love new echo',\n",
+       " 'what not like speaker ask alexa',\n",
+       " 'best father day gift dad joke mom alexa one listen repeat stori go forward',\n",
+       " 'great addit breakfast room kitchen tune inform instantli avail slowli learn featur',\n",
+       " 'sound qualiti',\n",
+       " 'sad joke worthless',\n",
+       " 'entertain',\n",
+       " 'good qualiti',\n",
+       " 'work great sound great not miss beat wish batteri better portabl',\n",
+       " 'love till someon stole afford replac yet go',\n",
+       " 'alexa rock',\n",
+       " 'got gift love never would bought one allow play music amozon prime music worth also give new brief tell joke',\n",
+       " '',\n",
+       " 'mom bought echo dot repeat ask take one great told two day made take hour later could not live life without amaz four larg speaker small echo dot return say go order alexa speaker go big get echo otherwis tou return two echo dot live without',\n",
+       " 'love great product',\n",
+       " 'easi set user friendli',\n",
+       " 'realli disappoint alexa plug wall socket time fault not check made assumpt compani technolog advanc amazon would sell product recharg batteri could return would appl music boom speaker give flexibl alexa',\n",
+       " 'think nd gen sound good st aux could add extern speaker go get dot nd issu uniqu unit understand overrid default prevent play blue tooth speaker play group get delay use bt speaker unit not heard abl play group use bt speaker',\n",
+       " 'everyth',\n",
+       " 'like interact ask question like ask setup schedul connect lamp',\n",
+       " 'supberb sound definit worth extra money listen lot music',\n",
+       " 'realli love amazon echo think sound qualiti great lot fun realli handi music get updat weather sport',\n",
+       " 'love grandkid',\n",
+       " 'far work well not alway intuit link differ devic skill get hang',\n",
+       " 'work advertis',\n",
+       " 'love',\n",
+       " 'love new addit hous speaker qualiti great love alexa two not complaint suggest futur seri would better commun abil exampl smart light hous unless specifi kitchen light kitchen light prior command either respond say recogn may want alexa respond say thank afterward repeat alexa thank time respond husband know sound odd laugh mayb southern thing want alexa manner',\n",
+       " 'like everyth music trivia game weather',\n",
+       " 'describ receiv time not like automat enrol music',\n",
+       " 'great devic',\n",
+       " 'own echo overa year new lack easi way increas decreas volum without tell increas decreas volum hard wife sinc english second languag born korea sound echo superb keep',\n",
+       " 'love kitchen work well',\n",
+       " 'nice impress wish say though',\n",
+       " 'love product nice easi access much info',\n",
+       " 'got great sound bass work time still hot miss recogn thing',\n",
+       " 'still discov echo',\n",
+       " 'amaz paroduct',\n",
+       " 'good hear rang sound qualiti bit complic set quit understand lot even speak slowli clearli love flash brief featur interfac abod home secur system',\n",
+       " 'speaker sound good',\n",
+       " 'absolut love',\n",
+       " 'best part product control thermostat light hous anyth dislik',\n",
+       " 'thoroughli enjoy amazon echo instal easi use alexa app purchas kasa smart plug control live room light instal easi use kasa app sinqu right echo enjoy play music echo sound qualiti awesom ad kasa smart bulb kitchen setup seamless look forward ad autom home',\n",
+       " 'home entertain',\n",
+       " 'cool product easi setup fun use sound qualiti much better anticip',\n",
+       " 'love great sound easi connect use',\n",
+       " 'work fairli new smart tv mainli tv manufactur lg fault due not support anyth older tv year smart lock also need addit piec equip order connect well speaker sound great work well',\n",
+       " 'great sound littl speaker',\n",
+       " 'enjoy',\n",
+       " '',\n",
+       " 'cool',\n",
+       " 'good qualiti great sound qualiti',\n",
+       " 'work perfectli',\n",
+       " 'great product sometim alexa not understand command fire tv fabul speaker',\n",
+       " 'love echo great sound smart',\n",
+       " 'sure love',\n",
+       " 'play great',\n",
+       " 'work absolut great',\n",
+       " 'amaz product great sound qualiti',\n",
+       " 'best thing invest thank much',\n",
+       " 'extrem impress item bought warehous outlet minor imperfect tell even one work great come packag seal damag miss anyth like sound qualiti see knock not bose great famili easi use minor learn curv learn voic integr seamlessli amazon servic wait get classroom lot fun even speaker let alon plan',\n",
+       " 'love echo show bedroom wonder music info sleep sound',\n",
+       " 'awesom life changer serious abl start morn alexa wake alarm play music gotten use voic anoth room listen say love echo hesit get one price speaker unbeliev buy cordless holder take echo anywher love purchas love alexa',\n",
+       " 'not super impress alexa prime laps play anyth smart enough differenti among spotifi account use either randomli speak nobodi talk today unplug not sure ever use alexa',\n",
+       " 'like everyth',\n",
+       " 'like',\n",
+       " 'never issu buy use electron long get good like new read comment see use',\n",
+       " 'famili realli love new echo',\n",
+       " 'bought wife love',\n",
+       " 'fun got today pod go car use hous',\n",
+       " 'like',\n",
+       " 'third echo worth everi penni like household employe small flat rate keep bedroom live room drop use intercom listen music answer quick question alarm wake school etc',\n",
+       " 'listen music set timer',\n",
+       " 'receiv echo perfect condit devic easi set respond quickli without issu alexa great addit famili',\n",
+       " 'good sound like music schedul like get random thought record think joke cute',\n",
+       " 'purchas begin learn far pleas amaz differ action perform enjoy look forward learn option provid',\n",
+       " 'echo great other even though smaller',\n",
+       " 'funni buy someth look fun wind total use part home love',\n",
+       " 'bought replac dot live room speaker slightli better hear better tv unfortun understand respond request well dot frequent request time get want dot usual exactli want first request consid upgrad',\n",
+       " 'good experi far second gener echo mani thing learn not time yet right mostli enjoy music weather updat use alarm featur person also purchas mini smart socket ye excit begin use',\n",
+       " 'troubl connect tv not exactli tech smart sure one grandson figur far use mostli music',\n",
+       " 'simpli love echo hardli watch tv anymor busi listen music speaker pretti goo size fun skill realli make echo fun whole famili',\n",
+       " 'enjoy entir echo experi',\n",
+       " 'easi set',\n",
+       " 'echo amaz devic mani time seem intuit time ask someth seem clear simpl get result instal fairli straightforward mess sever time simpli thought step complet actual made lose ground figur advic patient app let know move next step biggest issu moment sever echo devic home would like use intercom told done howev make echo awar other exist ask alexa answer instruct chang name know like fault would think design would anticip make easier find need instruct small deal mani devic savvi peopl challeng',\n",
+       " 'love much',\n",
+       " 'origin alexa tap far nd gener best happi see make improv new one would great updat littl think would help lot bug happi play music throughout whole hous adjust bass trebl thank',\n",
+       " 'pleas echo nd gener nice alexa avail music weather news probabl lot discov',\n",
+       " 'pleasantli surpris sound qualiti echo big fan deep bass might not suffici though potenti control home option explor evolv home smart home voic recognit impress stylish fun regret purchas great technic chang peopl ask play song movi respond instantli elderli love one would great gift connect wifi simpl use want unlimit music control sure amazon prime premium spotifi blown away person dj even convers echo not embarrass say echo made laugh coupl time ask tell joke tell packag sinc amazon prime addict come extrem handi',\n",
+       " 'easi setup love thing',\n",
+       " 'alexa throughout hous futur arriv',\n",
+       " 'alreadi alexa amazon find today could not resist get echo also best thing ever use side hous happier',\n",
+       " 'arriv expect',\n",
+       " 'bought week ago everyth product excel forget buy charger order must take outsid pool not worri hire electrician put outlet yard',\n",
+       " 'terrif',\n",
+       " 'love echo',\n",
+       " 'smaller origin look nicer',\n",
+       " 'work great',\n",
+       " 'husband would call late adopt come technolog decid would tri echo serv primarili music sourc wow amaz great sound also great time listen favorit song buy ask alexa may even buy one elderli dad think enjoy one listen music even place call us',\n",
+       " 'realli enjoy chang directv channel play iheartradio pandora adjust ac thermostat turn live room light outsid light',\n",
+       " 'want one bought prime day absolut love',\n",
+       " 'glad got echo bluetooth speaker alexa much stuff non smart speaker person love timer featur help cook multipl thing simultan pandora integr anoth featur use daili happi prime day purchas get echo hub echo dot futur',\n",
+       " 'see subject line love',\n",
+       " 'love',\n",
+       " 'easi setup',\n",
+       " 'hesit buy echo echo dot seem good enough echo except sound qualiti realli feel need howev glad got differ sound realli far superior echo dot listen greatest showman littl power',\n",
+       " 'sound qualiti great still learn differ thing fun',\n",
+       " 'got good deal work great prime setup bit pain fault crappi internet servic work great nice sound small speaker',\n",
+       " 'love',\n",
+       " 'work great perfect offic',\n",
+       " 'love one insid hous one pool good bose speaker around hous',\n",
+       " 'easi use amaz',\n",
+       " 'nice product',\n",
+       " 'love echo total amaz speaker qualiti bum buy two sinc got prime day',\n",
+       " 'respons great sound qualiti size',\n",
+       " 'effici amaz cool use often everi day',\n",
+       " 'impress qualiti sound echo definit compar bose mini gave star use appl music account',\n",
+       " 'technolog small devic price good sound amaz must featur home',\n",
+       " 'mainli use music learn time realli noth bad say',\n",
+       " 'replac st gen concern smaller unit not sound wrong anyth volum clear good product',\n",
+       " 'great addit echo plu',\n",
+       " 'best',\n",
+       " 'love featur play music everi room multipl echo',\n",
+       " 'love alexa surpris much use',\n",
+       " 'use product enjoy love',\n",
+       " 'easi use great sound great purchas great price',\n",
+       " 'easi set issu',\n",
+       " 'unit add much pleasur echo plu music inform home one room',\n",
+       " 'extrem use simpl thing like spotifi audibl thing like sometim answer everyth ask still nice use',\n",
+       " 'difficult set keep time enter password',\n",
+       " 'get use use echo use shop list listen music timer work great far',\n",
+       " 'cool lot fun use week still learn capabl',\n",
+       " 'love love',\n",
+       " 'love hard time set app',\n",
+       " 'use offic anoth apart music inform',\n",
+       " 'great music littl hard figur work',\n",
+       " 'given year time birthday gift dad love ask alexa anyth answer plu good homework purchas one prime day bathroom get readi work listen music base metro boom replac clock radio plu echo dot night stand alarm clock',\n",
+       " 'impress look clariti sound color',\n",
+       " 'alexa amaz great speaker',\n",
+       " 'still get use alexa connect tv yet thing right use music inform great',\n",
+       " 'work sound great hous bare sf sit kitchen counter hear speak room lot function still discov',\n",
+       " 'pure fun echo weather joke news brief music still much use lot fun money',\n",
+       " 'use time especi commun kid throughout home',\n",
+       " 'love still learn make lot thing easier like forget turn light anoth room ask alexa turn light',\n",
+       " 'bought daughter turn love especi like call featur sinc cell phone love play music danc amazon music play favorit song sometim lol',\n",
+       " 'got wed gift discov featur yet updat play music great though',\n",
+       " 'impress sound qualiti',\n",
+       " 'pleas purchas echo smart speaker love fact play music differ genr whenev want troubl first wi fi work',\n",
+       " 'wife enjoy eas play music game fun entertain look forward ad smart product home',\n",
+       " 'second echo love help kitchen set timer listen news prepar groceri list get great music',\n",
+       " 'sound qualiti good wish alexa could answer question',\n",
+       " 'second echo dot speaker weak purchas listen music speaker great',\n",
+       " 'great sound',\n",
+       " 'great',\n",
+       " 'realli use speaker stream music month kinda useless',\n",
+       " 'set user friendli set user friendli hope alexa app abl download pc without instal invas driver wife retir abl instal alexa son suppli smart phone use alexa yet',\n",
+       " 'easi set realli enjoy',\n",
+       " 'echo come built batteri plug time use make quit inconveni',\n",
+       " 'compact bit better origin',\n",
+       " 'love pretti cool',\n",
+       " 'live room music sound realli good live room hear upstair',\n",
+       " 'great product set easi sound wonder',\n",
+       " 'far like bought music though sound pretti good',\n",
+       " 'love',\n",
+       " 'love',\n",
+       " 'glad bought',\n",
+       " 'like type fun music',\n",
+       " 'like volum top turn quickli',\n",
+       " 'beyond capabl program grandkid lve',\n",
+       " 'love new echo give hour music help thing difficult set help tekki',\n",
+       " 'almost good bose love whole hous music',\n",
+       " 'alexa hardli came',\n",
+       " 'easi setup use app also easi instal phone sound qualiti listen music pandora wonder',\n",
+       " 'still learn use echo far love',\n",
+       " 'work awesom',\n",
+       " 'work great',\n",
+       " 'small speaker sound great',\n",
+       " 'great sound size prize cours alexa',\n",
+       " 'echo definit need one',\n",
+       " 'great devic seem work better st gener',\n",
+       " 'item longer work month use not connect wifi unrespons reset request',\n",
+       " 'love echo dot easi fun get drop grandaught live mile away sound like right next',\n",
+       " 'work great differ new one',\n",
+       " 'one go kitchen timer music duti',\n",
+       " 'love volum could definit use boost better built speaker would definit star thought ahead put audio auxiliari input bought dedic speaker echo prove best way go',\n",
+       " 'work fine',\n",
+       " 'work great look brand new love new echo dot get main room hous',\n",
+       " 'refurbish item work like new love easi set love issu volum listen relax fine expect anyth els recommend purchas speaker',\n",
+       " 'not loud',\n",
+       " 'nd one love',\n",
+       " 'not sure feel echo dot mani thing need get use ask right question understand',\n",
+       " 'thing bare work select rd parti app stuff think could box send mine back asap wast money',\n",
+       " 'gift man like plug pictur not show cord would prefer cordless still work though purpos bought',\n",
+       " 'th amazon echo devic purchas refurbish satisfi time differ tell brand new price cheaper echo wake us keep timer play music us act encyclopedia turn light much',\n",
+       " 'small echo dot amaz sound come great chang nest thermostat phillip hue light without leav chair',\n",
+       " 'talk time song dislik devic',\n",
+       " 'never disappoint amazon technolog',\n",
+       " 'work promis',\n",
+       " 'return echo dot get refund return one packag want refund packag not see',\n",
+       " 'not work',\n",
+       " 'weird paus speech pattern not present echo devic',\n",
+       " 'sure love alexa lol thank great price product',\n",
+       " 'work',\n",
+       " 'echo fan one not work',\n",
+       " '',\n",
+       " 'bought bathroom listen shower love',\n",
+       " 'alway respond spoken promp word thought would connect echo upstair use like intercom abl',\n",
+       " 'fast ship work well',\n",
+       " 'love',\n",
+       " 'love love love new free assist',\n",
+       " 'six word alexa tell poop joke',\n",
+       " 'work month stop tri everyth tri make work noth work want refund',\n",
+       " 'poor qualiti gave away',\n",
+       " 'refurbish way go echo work like new',\n",
+       " 'love',\n",
+       " 'five need say',\n",
+       " 'speaker arent loud alexa great though besid naw',\n",
+       " 'work great sound good',\n",
+       " 'never could get work techi friend look said adapt strong enough power look like bought dollar store go replac adapt hope work',\n",
+       " 'almost like star trek home fun tri outsmart',\n",
+       " 'add echo system refurbish product work like new',\n",
+       " 'great offic use daili mani way includ spell background music',\n",
+       " 'awesom love alexa',\n",
+       " 'sure realli want one extrem use get one love',\n",
+       " 'initi echo dot work well time dot stop respond alexa unless within one foot yell echo echo dot room would respond without respons echo dot would not recommend buy refurbish',\n",
+       " 'great product fast ship',\n",
+       " 'bought echo dot refurbish stop whatev function perform quit often wake everi time randomli turn noth not buy refurbish echo dot',\n",
+       " 'perfect work great problem refurbish',\n",
+       " 'dont trust',\n",
+       " 'perfect condit love echo',\n",
+       " 'love beauti experi especi hook smart light accessori',\n",
+       " 'got within last coupl week tell issu son want alexa th birthday could tell joke could ask question listen music enjoy one much bought second one week prime deal day',\n",
+       " 'divertido',\n",
+       " 'great product work great',\n",
+       " 'bought guest room radio alarm clock inform center much',\n",
+       " 'great buy bought go echo love speaker best music work great kitchen timer alarm',\n",
+       " '',\n",
+       " 'work perfect save buck buy refurbish look brand new',\n",
+       " 'look work perfect glad got good deal',\n",
+       " 'good new one bought less',\n",
+       " 'love work well',\n",
+       " 'everyth perfect',\n",
+       " 'good price prompt ship work flawlessli',\n",
+       " 'love alexa',\n",
+       " 'room improv price cannot complain much still complain howev audio terribl kind like listen speak n spell',\n",
+       " 'iov bought son want awesom',\n",
+       " 'echo work price great deal issu dot speaker bit tinni good second unit like attach extern speaker sound good buy',\n",
+       " 'thank',\n",
+       " 'want use radio intercom get terribl fm recept live speech recognit softwar horribl wife nativ american whose languag english north texa neither accent birth area yet not good job understand us bought two thing addit wifi recept poor margin buy wifi rang extend offic ten feet router problem switch around differ disconnect dust collector',\n",
+       " 'third dot work perfectli use one multipl time day absolut love',\n",
+       " 'item never work box broken spent sever day tri get work run fix amazon thing accomplish never order anoth refurbish devic',\n",
+       " 'alreadi echo plu bought one bedroom love function',\n",
+       " 'simpl set music everywher',\n",
+       " 'work like brand new dot satisfi',\n",
+       " 'great product return new alexa dot refurbish alreadi give problem connect',\n",
+       " 'echo alreadi went one refurbish save buck work great love new gener one rubber bottom nice',\n",
+       " 'love fact unplug take basement want laundri',\n",
+       " 'refurbish good new one bought',\n",
+       " 'good new',\n",
+       " 'granddaught love',\n",
+       " 'price great troubl hear across room move anoth spot seem work fine buy want everi room',\n",
+       " 'set alexa blue tooth speaker enjoy listen music outdoor wait tri new stuff use alexa',\n",
+       " 'thank',\n",
+       " 'work great',\n",
+       " 'never buy certifi refurbish echo dot bought certifi refurbish echo dot unit poor receiv command sometim not even acknowledg command never buy refurbish echo dot unit receiv probabl never certifi refurbish indic also bought new echo dot work perfectli disappoint',\n",
+       " 'start amazon productsand regret noth absolut great journey product continu improv day day life',\n",
+       " 'use sever month without problem',\n",
+       " 'first smart devic sure buy devic compat one',\n",
+       " 'love',\n",
+       " 'love good new one',\n",
+       " 'larger echo time love bought one anoth portion hous sinc sever wifi home devic want voic control hous',\n",
+       " 'love product use turn light answer quick question',\n",
+       " 'great buy',\n",
+       " 'leari refurbish work great',\n",
+       " 'puni sound work great',\n",
+       " 'great',\n",
+       " 'exactli like new tell differ new dot got prior one work perfectli love alexa',\n",
+       " 'work perfect wear tear devic love alexa work make home smart',\n",
+       " 'work good',\n",
+       " 'thing like shut work great',\n",
+       " 'excel product mint condit refurbish unit would never know refurbish',\n",
+       " 'alreadi own coupl echo frustrat also use intercom final amazon enabl drop featur use echo reach famili remot part hous teenag insist never heard yell come dinner featur mainli use echo standard stuff play music set alarm answer question etc not life chang home devic amazon would believ conveni around refurb save buck look work brand new one',\n",
+       " 'love worri refurbish part first first echo awesom use everyth light sinc work night shop well spotifi plan get parent help everyday thing take grant young would recommend everyon',\n",
+       " 'love alexa hope everi room soon',\n",
+       " 'simplic use set',\n",
+       " 'great got one gazebo one upstair',\n",
+       " 'work great never issu',\n",
+       " 'everyth ask',\n",
+       " 'work great good sound',\n",
+       " 'use echo listen music well sort research tool answer varieti question would like volum could go littl bit louder complain also believ intern power sourc order use echo must plug time use univers charg cord would nice use echo dot go without buy product',\n",
+       " 'love great fun',\n",
+       " 'love',\n",
+       " 'outstand use time work like say',\n",
+       " 'save alway nice son alway say buy refurbish mean get new devic product less run diagnost everyth correct',\n",
+       " 'work perfectli alexa turn light tv roomba',\n",
+       " 'never would know refurbish',\n",
+       " 'far good',\n",
+       " 'look perform new complaint',\n",
+       " 'goe great echo',\n",
+       " 'work great like new one alreadi',\n",
+       " 'item not work certifi refurbish mean work advertis instead item crash soon turn plug tri connect phone echo dot crash not would disconnect orang light would freez thing would reboot blue light alexa would tell readi connect freez mid sentenc tri hold action button second anyth return immedi hope actual fix item next buyer purchas',\n",
+       " 'fast servic got order thank',\n",
+       " 'love even though still tri figur thing item work great phone',\n",
+       " 'none',\n",
+       " 'echo one bought brand new refurbish one honestli tell differ perform look',\n",
+       " 'great product learn work thing awesom',\n",
+       " 'work',\n",
+       " 'not work time',\n",
+       " 'love though wish portabl',\n",
+       " 'cours',\n",
+       " 'could not tell refurbish work excel would highli recommend instead purchas new',\n",
+       " 'got mom love',\n",
+       " 'love echo dot look brand new work perfect satisfi',\n",
+       " 'new',\n",
+       " 'small problem box rep amazon call walk reset process solv issu shock get respons quickli real effort made includ follow email get thing work one googl clone use learn like also plan instal one car boat garag alexa new best friend lol think gf worri alexa learn cook time limit',\n",
+       " 'love alexa dot play game son ask weather love work amazon fire tv',\n",
+       " 'like could ask differ question differ thing work intermitt smart tv ask chang volum sometim ask chang channel sometim reset know refurbish okay not expect',\n",
+       " 'far certifi refurbish echo dot work well littl confus green ring echo dot not know ask alexa said receiv call drop not case took minut figur notif deliveri amazon believ ring suppos yellow pulsat messag notif refurbish echo dot green puls',\n",
+       " 'arriv quickli easi set refurbish amazon echo dot beyond expect alexa becom buddi great assist',\n",
+       " 'work advertis speak clearli research command also get wall holder keep way set breez make sure close devic initi connect phone reason made set easier though could psycholog haha',\n",
+       " 'love two echo dot third one order give gift defect speaker return process still done alreadi taken week',\n",
+       " 'alreadi return',\n",
+       " 'refurbish echo wonder purchas mother love abil contact without phone listen music weather ask question wonder gift work excel problem',\n",
+       " 'work good howev price went week purchas',\n",
+       " 'work amazingli bought daughter love',\n",
+       " 'love alexa great help make appoint play song like els look forward',\n",
+       " 'got bathroom love listen music whe shower',\n",
+       " 'dot origin new one work perfectli buy futur dot recondit',\n",
+       " 'littl hard get pare other problem',\n",
+       " 'weari pick convers not activ use heard happen news concern wish amazon would releas someth widespread push firmwar prevent not heard yet',\n",
+       " 'realli dislik alexa dot thought cortna cool alexa awesom applic famili unbeliev devic seem aliv must get',\n",
+       " 'happi refurbish echo dot two week far work perfectli even though not come origin box look like new happi purchas',\n",
+       " 'thumb',\n",
+       " 'workreat',\n",
+       " 'someth wrong first one even rep spoke could fix replac regist someon els price dot went price refurbish one bought brand spank new one problem new one',\n",
+       " 'work expect',\n",
+       " 'problem',\n",
+       " 'almost everi room realli enjoy work perfectli',\n",
+       " 'purchas grandson',\n",
+       " 'like new',\n",
+       " 'happi order',\n",
+       " 'love dot especi abil talk one realli conveni issu refurbish like new',\n",
+       " 'start take use sinc unplug day one talk daughter lay bed next start go movi moana complet scare sh daughter',\n",
+       " 'work great speaker sound fine overal would recommend',\n",
+       " 'great like new',\n",
+       " 'love price essenti brand new dot open realli tell refurbish everyth look brand new less new unit consid better deal realli love versatil echo dot get one',\n",
+       " 'pleas order want',\n",
+       " 'think throughout hous conveni set timer check weather whatev wherev',\n",
+       " 'love best experi refurbish devic excel',\n",
+       " 'love echo dot',\n",
+       " 'refurbish item fine awar fee echo set room howev miss cordthank',\n",
+       " 'two week set longer work connect light sound guess purchas refurbish dot',\n",
+       " 'work like brandnew unit great addit collect',\n",
+       " 'great price work perfectli save money refurb would buy',\n",
+       " '',\n",
+       " 'god',\n",
+       " 'not good',\n",
+       " 'great bought one bought anoth right away grab smart switch set smart home capabl highli recommend',\n",
+       " 'like new',\n",
+       " 'work still need figur link devic though set sono pretti easi not product fault not time figur',\n",
+       " 'use',\n",
+       " 'worst amazon purchas made big amazon fan love brand unlimit digit music prime video even buy onlin game music movi amazon app tri use make simpl purchas anyth useless',\n",
+       " 'work well microphon pick well full size echo audio qualiti okay size',\n",
+       " 'bought two refurbish one work home work perfectli appear brand new',\n",
+       " 'amazon disappoint',\n",
+       " 'work great bt receiv output connect vintag stereo equip',\n",
+       " 'work great far tell not new edit longev year real test',\n",
+       " 'amaz',\n",
+       " 'love everyth',\n",
+       " 'use dot work fine compliment echo',\n",
+       " 'work like new one tell differ new one bough refurbish one',\n",
+       " 'well big fan echo one went bathroom work great expect',\n",
+       " 'purchas year old mother love talk alexa respons detect name room',\n",
+       " 'like new perform brand new one problem',\n",
+       " 'echo dot disconnect speaker time day not buy refurbish product star effort',\n",
+       " 'love great product',\n",
+       " 'work good satisfi',\n",
+       " 'love alexa sound dot not best echo nd gen kitchen live room got bedroom signific differ sound dot lack full base sound sound come cheap portabl speaker realli disappoint return right away shell money buy second echo bedroom also',\n",
+       " 'took awhil get connect not electron savi love',\n",
+       " 'cant seem get thing sink wireless not sure return tri one time',\n",
+       " 'absolut love',\n",
+       " 'product stop work return time ran',\n",
+       " 'second dot work great refurbishedthought new',\n",
+       " 'love guy work great',\n",
+       " 'love second alexa bedroom great check weather medit music timer perfect husband use eye drop multipl time day keep eye close minut',\n",
+       " 'purchas refurbish work like brand new minut set easi echo dot command start play music backyard deck sound system',\n",
+       " 'not substitut origin echo dot perform well sound qualiti poor listen highest level',\n",
+       " 'love echo dot help husband get netflix app amazon fire tv problem refurbish plan get anoth one amazon fire stick bedroom',\n",
+       " 'stop work month warranti good month would assum amazon product sold amazon would higher standard guarante would work whole month mean product suppos piec junk offer discount want buy anoth one would want buy anoth one',\n",
+       " 'like new problem whatsoev alexa thank',\n",
+       " 'like uncl sometim goe littl haywir',\n",
+       " 'bought son work return',\n",
+       " 'bought quit connect wifi respond voic within month hard soft reset not fix problem',\n",
+       " 'receiv echo dot today good condit advis paid amazon write rais price research buy get good deal set dot went simpl enough plug follow app instruct except initi took actual show iphon wifi set call amazon custom servic dunno late get terribl support guy took call rambl complet unhelp script end set dot middl spiel not sure norm refurbish dot pretti finicki wifi rang randomli disconnect even though app show rang ghz connect strong reconnect pain time well said alexa work work amazingli well speaker hook one thing realli enjoy mic rang sensit one annoy limit appl siri play audio devic speaker music podcast etc hey siri featur useless alexa problem hear whatev play time amazingli fast respons tri louder speaker yet not sure continu hold true set alexa control wireless devic breez albeit limit support arlo devic nil special set led devic eg rainbow effect alexa handl know chang solid color bright level rate would lower not gotten decent price item connect problem persist may exchang return item want though alexa kind grow',\n",
+       " 'bought everyon say much love need use volum not loud enough play music treadmil rather use tower speaker xs louder',\n",
+       " 'work like new',\n",
+       " 'second one refurbish model work least not home',\n",
+       " 'bad devic know refurbish activ nobodi talk activ start talk talk yell super laud',\n",
+       " 'good new like brand new save money get one',\n",
+       " 'ad room conveni',\n",
+       " 'nice work good time not easi recogn voic repeat sever time time almost scream',\n",
+       " 'took chanc certifi refurbish unit look brand new excus disappoint minut troubl free set effortless bluetooth speaker connect alexa app iphon flawless listen favorit tune bose bluetooth setup happier walk door ask alexa play music viola instant atmospher open ipad go set turn bluetooth access pandora app make thing effortless true joy right box discov use fine piec technolog worth everi penni',\n",
+       " 'alexa sister second dot',\n",
+       " 'love alexa echo dot two one new one refurbish work great becom go sooo mani thing love alarm everi morn whenev love play music sound ocean natur sound tri sleep love mani thing',\n",
+       " 'bought refurb work new one bought prior came origin packag well',\n",
+       " 'love like second wife',\n",
+       " 'far not impress not save group correctli not understand time not sure excit alexa voic sound like water suppos understand go return tri googl home',\n",
+       " 'work well obviou issu refurbish',\n",
+       " 'work great tell refurbish set kid mode home ad love thing',\n",
+       " 'great product useless overal mani unnecessari featur unless smart home need',\n",
+       " 'work good two new echo dot precious purchas',\n",
+       " 'bought mother love love guard dog featur say give sens secur night leav hous',\n",
+       " 'bought mainli speaker play music video phone not work read instruct not work',\n",
+       " 'work',\n",
+       " 'bought two work great not much electron run home alexa want need done',\n",
+       " 'nd one come',\n",
+       " 'blue light blink time',\n",
+       " 'fun use still learn new trick use function futur human comput interfac household autom like star trek knew would soon',\n",
+       " 'work great control tv light variou devic late use wake know time want open eye shout alexa time could figur get hous hold chore walk dog golden sound not great size expect echo plu much better audio get larger expens echo',\n",
+       " 'work great',\n",
+       " 'sure like product littl want one everi room daughter constantli ask alexa spell word bare tap thing product capabl look forward learn capabl',\n",
+       " '',\n",
+       " 'great product work well',\n",
+       " 'absolutli love',\n",
+       " 'bought first echo dot love got work absolut love',\n",
+       " 'work promis',\n",
+       " 'work great exist smart home setup',\n",
+       " 'perfect could not tell differ new one',\n",
+       " 'cant figur use',\n",
+       " 'good sometim hear well',\n",
+       " 'littl apprehens buy refurbish electron product amazon guarante thought would tri glad probabl buy anoth refurb product form amazon love alexa product sever one sit desk small footprint great sound use daili work great',\n",
+       " 'not bad bad speaker sound',\n",
+       " 'great devic mainli use verbal add thing shop list occasion use number fun thing program like go red alert make tardi land ye hous geek even chose wake word comput instead alexa need majel barret voic geek heaven not easi get premium spotifi work properli still not sure get multipl music account attach listen differ music differ room far still worth often ask time weather even give us news brief also use intercom system realli awesom plu fun know nsa listen everyth',\n",
+       " 'love',\n",
+       " 'purchas daughter love amaz love game',\n",
+       " 'alway work',\n",
+       " 'good new perfectli packag zero issu dot',\n",
+       " 'love bought granddaught play music ask question entertain hour good buy honest opinion',\n",
+       " 'issu work look great',\n",
+       " 'fun toy daughter read',\n",
+       " 'refurbish echo dot receiv new condit new packag complaint neat littl gadget drive wife nut',\n",
+       " 'receiv echo gift love much decid get dot bedroom easi set big differ sound qualiti would still buy',\n",
+       " 'work advertis thank',\n",
+       " 'new amazon product great everyth bought refurbish complet garbag never purchas amazon refurbish total dissatisfact',\n",
+       " 'work good microphon not good better echo product',\n",
+       " 'took littl work set final got sound qualiti not best got work great check weather ask cook question kitchen play radio want music probabl upgrad echo plu better sound',\n",
+       " 'love alexa best thing ever bought know ever live thing amaz happi product wish would use googl',\n",
+       " 'love work great',\n",
+       " 'extrem low volum',\n",
+       " 'troubl get program download phone end use comput interest answer come wikipedia howev give echo dot music play depart heard song music total forgotten mainstream station also amus alexa respond know think yard cotton fabric refer footbal play paid full price gadget would sore disappoint seem reason step hal',\n",
+       " 'brought replac one move rang previou non refurbish unit would seldom abl find wi fi connect got tire hear messag troubl connect check alexa app unplug went troubleshoot reconnect sever time not strong',\n",
+       " 'want listen music come sever echo dot unit simultan must pay monthli fee thought amazon not appl paid mani could one room not enough money',\n",
+       " 'purchas gift',\n",
+       " 'love',\n",
+       " 'overal good devic bought workout room issu reach volum heard standard row machin could use much better speaker',\n",
+       " 'work great simpl set alexa way accur imagin im use thought wish alarm could set bit that complaint not listen say wake word worri lose conspiraci theori speaker great hold get one turn gen like',\n",
+       " 'voic clariti made eavesdrop effort much easier govern',\n",
+       " 'work perfect',\n",
+       " 'littl troubl begin replac old router work good except current temperatur time alexa much degre like degre alexa would say degre otherwis everyth work expect enjoy listen music amazon pandora station request favorit song record artist',\n",
+       " 'bought three three work flawlessli label refurbish known',\n",
+       " 'devic work perfectli good price love alexa great fun music great get radio station need morn traffic report think would enjoy ai hous fun educ entertain even peopl tech savvi',\n",
+       " 'eh work half time not respond say wake name work fine',\n",
+       " 'great littl thing work better siri',\n",
+       " 'amaz love',\n",
+       " 'bought son love',\n",
+       " 'first second gener echo dot think prefer volum ring first gen better button second gen still job great price got still definit recommend',\n",
+       " 'fun use morn brief',\n",
+       " 'arriv time work amaz',\n",
+       " 'like new set quick easi',\n",
+       " 'like new good refurbish',\n",
+       " 'love',\n",
+       " 'love echo dot',\n",
+       " 'like know music type least wireless volum not high',\n",
+       " 'great product',\n",
+       " 'work great reason leav star wont play unless plug whole time pretti irrit especi outlet avail',\n",
+       " 'work great',\n",
+       " 'love ita like person assist comput everyth els one',\n",
+       " 'problem item could inexperi order wrong thing decid set use alexa tri replac small bluetooth speaker bedroom thought could learn go download app never could get echo sync iphon decid give one kid probabl enjoy use intend',\n",
+       " 'es perfecto',\n",
+       " 'work good far',\n",
+       " 'work great daughter love',\n",
+       " 'work great',\n",
+       " 'love',\n",
+       " 'want white dot white bathroom top black shown knew not realiz cord plug also black want white cord plug',\n",
+       " '',\n",
+       " 'work great',\n",
+       " 'amaz',\n",
+       " 'great product',\n",
+       " 'work perfectli',\n",
+       " 'perfect',\n",
+       " 'set echo dot work hour die complet not buy refurbish sent back return day receiv',\n",
+       " 'echo dot horribl volum phone louder devic boss one not case',\n",
+       " 'overal work well connect issu definit worth money',\n",
+       " 'issu refurbish unit perform expect would buy anoth one need',\n",
+       " 'great mom insid owlhead jacuzzi',\n",
+       " 'work great put son room use drop option get attent game watch tv',\n",
+       " 'perfect',\n",
+       " 'look brand nrw noth complain defent order',\n",
+       " 'ok speaker pretti terribl googl home better product',\n",
+       " 'love',\n",
+       " 'love answer stupid question tell weather get couch',\n",
+       " 'first one quit work shortli got next one becom unrespons voic time way get work app not sure dot way',\n",
+       " 'bought go niec room tell refurbish look good work like new',\n",
+       " 'devic not work follow instruct alexa echo dot not come upset',\n",
+       " 'sent back due crackl nois turn expect refurbish item',\n",
+       " 'best price could find use around answer question handi not find phone also intercom system',\n",
+       " 'never satisfi product perfect introduct alexa',\n",
+       " 'work well speaker not grand get anoth speaker drop futur would gone full size echo',\n",
+       " 'love echo thing full size version sound better though',\n",
+       " 'work great',\n",
+       " 'need life plan time date music',\n",
+       " 'seem troubl hear say wake word despit train voic wonder someth buy refurbish googl home mini problem hear us much louder',\n",
+       " 'love work perfectli',\n",
+       " 'brand new echo dot thought refurbish would good quit differ expect refurbish unit not even turn realiz power adapt faulti way amazon send power adapt accord return option love amazon buy even toilet paper truli let updat amazon contact credit enough buy new power adapt shop amazon alway trust deliv product',\n",
+       " 'bought famili member gift call see like said love',\n",
+       " 'not loud qualiti eas use great sound perfect background music would suggest connect togeth tri use host louder parti',\n",
+       " 'look brand new work great love echo dot refurbish one like new',\n",
+       " 'nd one use time',\n",
+       " 'work like new one l anoth alexa devic lm fanat',\n",
+       " 'echo good',\n",
+       " 'work great',\n",
+       " 'great price extend rang super valu dot offer hook wireless speaker use work outsid dot made outdoor sound rang possibl without disturb indoor light control possibl',\n",
+       " 'amazingli fun daughter ask question first day set daili alarm weekend remind playlist morn show random song daili bibl vers weather morn commut tell way go dodg traffic get one link phone yet',\n",
+       " 'work perfect differ refurb one new one hous buy refurb',\n",
+       " 'great product wake everi morn time',\n",
+       " 'like new differ new unus origin',\n",
+       " 'complaint far know exactli like new littl cheaper great',\n",
+       " 'perfect condit',\n",
+       " 'like new',\n",
+       " 'work well new version got discount echo speaker decid purchas version amazon state warranti',\n",
+       " 'receiv echo gift need anoth bluetooth someth play music easili access found smart speaker wait see els',\n",
+       " 'without cellphon cannot use mani featur ipad not see use great alarm u r almost deaf hear alarm bedroom live room reason enough keep fun ask random question hear respons not seem smartbon polit yet',\n",
+       " 'think th one purchas work get one everi room hous realli like featur offer specifili play music echo control light throughout hous',\n",
+       " 'look great',\n",
+       " 'love listen song heard sinc childhood get news weather inform great',\n",
+       " 'sent year old dad talk constantli',\n",
+       " 'love learn knew thing eveyday still figur everyth work far easi use understand make laugh time',\n",
+       " 'purchas mother knee problem give someth tri come not get around fast like enjoy littl big thing alexa play song time cook',\n",
+       " 'love love love',\n",
+       " 'expect',\n",
+       " 'love wife hate',\n",
+       " 'realli happi purchas great speaker easi set',\n",
+       " 'use alexa coupl day lot fun new toy like new household member tri learn differ featu benefit come',\n",
+       " 'love size nd gener echo still need littl improv sound',\n",
+       " 'like origin echo shorter greater fabric color choic miss volum ring top plu minu button not big deal ring w comfort well like use standard usb charger port instead previou round pin guess sound seem work still answer alexa echo comput not like',\n",
+       " 'love echo good music sound play alexa understand command difficult time find specif playlist song spotifi good amazon music lack major program',\n",
+       " 'love alexa use play music play radio itun play podcast anypod set remind listen flash brief news weather everi morn reli custom list like abl voic control volum sure continu find new use sometim bit frustrat alexa understand say',\n",
+       " 'set day still ad smart home devic speaker great play music like size station kitchen counter not intrus look',\n",
+       " 'love play sleep sound immedi ask',\n",
+       " 'got second unit bedroom expect sound improv didnt realli see differ overal not big improv st gener',\n",
+       " 'amaz product',\n",
+       " 'love echo easi oper load fun everyth advertis use mainli play favorit tune test alexa knowledg',\n",
+       " 'sound great love',\n",
+       " 'fun item play get use use sometim hard time answer question ask think better',\n",
+       " 'like one',\n",
+       " 'still learn capabl far pretti pretti pretti good',\n",
+       " 'like',\n",
+       " 'work well need learn command uniqu owner user like alexa learn tasha birthday alexa learn definit fine etc great',\n",
+       " 'speaker sound pretti good small setup pretti easi bought two reason rate follow instruct synch music unit know done correctli sync primari motiv purchas multipl unit',\n",
+       " 'devic awesom',\n",
+       " 'bought compar speaker qualiti first gener speaker like sound better ship daughter though like fact first gener chargeabl base bought keep mobil need better sound',\n",
+       " 'love echo still learn thing abl follow instruct includ packag found great one u tube',\n",
+       " 'speaker better st gener echo',\n",
+       " 'thing way cool get one want cool',\n",
+       " 'first digit assist give good review speaker realli good cheap price prime day fun play use alarm clock go get first place end echo go one definit tri like best number devic connect purchas came smart plug connect lamp alexa turn light',\n",
+       " 'husband like abl use listen music wish knew capabl',\n",
+       " 'android would not allow alexa connect fortun sister appl cell hour tech support fix glitch run',\n",
+       " 'far good',\n",
+       " 'tri play certain broadway show like camelot give ne group camelot',\n",
+       " 'great',\n",
+       " 'satisfi echo alexa control light famili room wife listen jimmi buffet ask alexa',\n",
+       " 'like siri fact siri answer accur alexa see real need household though good bargain prime day deal',\n",
+       " 'love echo still learn everi thing work ton fun',\n",
+       " 'love much',\n",
+       " 'differ appl play specif list music must amazon spotifi plu prime etc account must pay play music star reason everyth els',\n",
+       " 'excelent lo unico es que esta en espa ol',\n",
+       " 'still learn use far echo great sound actual much better expect',\n",
+       " 'work expect also good sound qualiti consid price sale featur',\n",
+       " 'sound echo nd gener phenomen not mention love alexa help',\n",
+       " 'like googl better',\n",
+       " 'let play learn get',\n",
+       " 'work advertis easi setup still learn',\n",
+       " 'great sound easi set',\n",
+       " 'love alexa bought other friend',\n",
+       " 'love echo purchas compani husband alexa great say name tell joke play favorit song',\n",
+       " '',\n",
+       " 'love abl listen music easili still learn featur avail',\n",
+       " 'realli know could use devic use thing need overview',\n",
+       " 'love wish built hub',\n",
+       " 'use primarili play music work wonder still get use mani thing amazon sent sever tip sinc got thank help',\n",
+       " 'easi set',\n",
+       " 'fast respons amaz clear concis answer sound qualiti fantast still get use alexia not usd echo full extent',\n",
+       " 'need na na nana',\n",
+       " 'everyth expect',\n",
+       " 'love echo work like said would smart home cannot speak function everyth els good',\n",
+       " 'great sound small packag easi set use fun',\n",
+       " 'work sound great',\n",
+       " 'sound amaz mani collect music',\n",
+       " 'set',\n",
+       " 'alway listen',\n",
+       " 'awesom',\n",
+       " 'bought control fio televis work well hope time control fio discov thing alexa play music ask great sound alexa play game play radio station play old time radio program like long ranger alexa mani app add abil day play madlib great fun also alexa control household applianc purchas alexa compat power strip control light fan tv compon look forward implement control also add alexa compon chosen music play room compon locat',\n",
+       " 'speaker excel sound work perfectli',\n",
+       " 'like',\n",
+       " 'love everyth',\n",
+       " 'littl nervou receiv new echo not realli tech savvi found bit intimid first take long figur happi purchas think ad echo spot',\n",
+       " 'like still learn use',\n",
+       " 'great technolog believ speaker volum qualiti wonder wish bought anoth one',\n",
+       " 'purchas echo dot husband father day use constantli hear qualiti sound echo nd gener brainer best gift ever',\n",
+       " 'work fine',\n",
+       " '',\n",
+       " 'clear music',\n",
+       " 'fun use good sound qualiti',\n",
+       " 'echo work well abl sync amazon music devic',\n",
+       " 'work great think amazon charg anoth cent unlimit music prime buy echo',\n",
+       " 'alreadi echo dot echo even better fuller sound also setup let phone call made contact list great',\n",
+       " 'speaker sound realli good',\n",
+       " 'good sound work well',\n",
+       " 'love alexa not savvi support help patient',\n",
+       " 'love think get one prime day discount offer could not pass fun ask alexa play song group come playlist amazon prime music also connect iphon bluetooth play music pandora youtub video use alexa speaker fun ask alexa differ type question inform like weather news even time countri downsid limit data wifi plan alexa use burn play music',\n",
+       " 'like far lot tri yet',\n",
+       " 'love use strictli music great',\n",
+       " 'love echo love size materi speaker qualiti hook one light easili work addit light thermostat next echo dot bedroom lot echo think traffic weather trivia etc',\n",
+       " 'love',\n",
+       " 'entir famili love alexa echo part famili',\n",
+       " 'great fun get know function product wow famili fun homework help talk grandchildren also echo huge bonu wait learn',\n",
+       " 'love',\n",
+       " 'awesom thing love alexa',\n",
+       " 'work exactli expect speaker great sound perfect classroom',\n",
+       " 'love love new littl gadget made live much easier like person secretari live home hardli need cd anymor sinc alexa play everyth need go get alexa dot soon room thank',\n",
+       " 'speaker surpris qualiti happi purchas',\n",
+       " 'easi set work wonder love',\n",
+       " 'realli impress sound qualiti play music devic bass sound almost like come bigger speaker prop amazon',\n",
+       " 'still great product sound qualiti seem wors get wrong definit get use within hour definit feel like echo gen sound qualiti better besid great addit abl play bluetooth wifi even better',\n",
+       " 'outlet not work disappoint',\n",
+       " 'great devic respons help',\n",
+       " 'sound terribl u want good music get bose',\n",
+       " 'like sound troubl paid extra money access million song sometim work ex alexa play italian song understand play opera tosca respons sorri',\n",
+       " 'easi set use bad plug would nice take outsid oper batteri recharg',\n",
+       " 'still learn way use real hit grandkid ask play music danc yr cute',\n",
+       " 'star gener like product great ask like play music set timer make call reason rate sometim connect die echo stop play music show red ring seem connect issu overal great product',\n",
+       " 'work great upgrad echo dot full size echo happier',\n",
+       " 'alexa els say',\n",
+       " 'upgrad lilttl echo dot happi sound',\n",
+       " 'excel product set eas well',\n",
+       " 'first gen echo sinc first came work well purchas nd gen prime day far happi seem improv speaker provid enhanc sound music',\n",
+       " 'love echo smart speaker love volum clariti easi set wonder gift age',\n",
+       " 'wonder product fast deliveri',\n",
+       " 'initi harder set call tech knowledg work great',\n",
+       " 'easi set famili love',\n",
+       " 'great sound respons voic command',\n",
+       " 'live long without echo get enjoy music style ask alexa go gread wireless love echo love alexa',\n",
+       " 'cool product speaker sound good spotifi blast',\n",
+       " 'much fun alexa love abl listen music across room busi someth els',\n",
+       " 'far seem nice item pick voic understand without problem day ask turn music next room heard fine use listen music check weather done thing well',\n",
+       " 'love echo',\n",
+       " 'love help use rememb thing sleep ask anyth week still learn',\n",
+       " 'better st gen everi way except one realli miss ring top volum control quicker easier grab top twist without look button find one press time also wish bass bit better great devic happi',\n",
+       " 'love alexa',\n",
+       " 'far like',\n",
+       " 'thoroughli enjoy ecoo love read audiobook offic simpli open audiobook kindl continu elsewher wonder listen music not mood book great set remind much',\n",
+       " 'still love',\n",
+       " 'love',\n",
+       " 'love sound qualiti unit clear sound',\n",
+       " 'listen talk radio morn turn light etc system excel job full hous sound system stream siriu',\n",
+       " 'week still learn alexa learn process love music call time listen podcast radio station start keep shop list groceri list love search paper pencil get time temperatur great not wait weather report sound good not fussi woofer tweeter base etc echo fine afternoon go tri drop son get home go surpris',\n",
+       " 'not much featur',\n",
+       " 'great sound qualiti great featur great product multi room music cool',\n",
+       " 'cool',\n",
+       " 'everyon echo two three bought echo qvc',\n",
+       " 'annoy everyth show alexa abl download spend much time tri figur phrase machin may well look',\n",
+       " 'alexa sinc begin accident spill water replac nd gener decid without echo setup easi work within minut',\n",
+       " 'like abl tell alexia music want hear sometim troubl find song not specif titl',\n",
+       " 'like look better origin echo move old echo basement famili room nice sound',\n",
+       " 'echo wonder still learn use music request somewhat limit',\n",
+       " 'know half thing ask recogn sprinkler wifi control even though product detail say compat program chang wifi thermostat set match wifi router handi music player amazon music',\n",
+       " 'love',\n",
+       " 'awesom understand kid',\n",
+       " 'pleasantli surpris sound qualiti mani featur nice easili hear particular artist hear book simpl command look forward explor option devic',\n",
+       " 'met exceed expect easi set realli quick respons',\n",
+       " 'like fact get kind music prime want request alexa like inform photo littl pamphlet wish includ connect tv etc command alexa realli love music',\n",
+       " 'not found way access echo thorough prime account think part top line video music etc also think setup app defin exampl music like not well integr echo tri ask playlist echo not sure even though set play list set also not like fact word exact match playlist name never rememb like readi natur echo respond queri',\n",
+       " 'great item ad audibl book make even better thank',\n",
+       " 'prime day nd gen echo sale resist begin smart home set happier say alexa done amaz job connect smart devic thank control light smart plug tv etc troubl connect echo wifi phone app work perfectli fine let add skill routin smart devic timer much sound qualiti good enough sinc not audiophil alexa hear voic even watch movi high volum design great modern definit add nice touch home chang cover like sale overal great addit home enabl mani possibl yet sure add alexa home',\n",
+       " 'versatil fun',\n",
+       " 'work great killer speaker wife son love',\n",
+       " 'regret wait long purchas item surpris pleas sound qualiti',\n",
+       " 'stop work week follow command realli fun work',\n",
+       " 'far love work get thing set love groceri list app',\n",
+       " 'perform pretti much expect disappoint not provid terminolog need play variou kind music without subscrib amazon music servic understand music choic may limit without know ask cannot access music provid free along echo purchas chart show languag need use',\n",
+       " 'easi set',\n",
+       " 'like product except speaker not high qualiti expect',\n",
+       " 'great invest alexa help made laugh',\n",
+       " 'yet anoth exho home love',\n",
+       " 'love plan gender music big band jazz not easi find local radio sound good stop voic command get phone call',\n",
+       " 'good valu',\n",
+       " 'super easi set love new echo',\n",
+       " 'what not like speaker ask alexa',\n",
+       " 'best father day gift dad joke mom alexa one listen repeat stori go forward',\n",
+       " 'great addit breakfast room kitchen tune inform instantli avail slowli learn featur',\n",
+       " 'sound qualiti',\n",
+       " 'sad joke worthless',\n",
+       " 'entertain',\n",
+       " 'good qualiti',\n",
+       " 'work great sound great not miss beat wish batteri better portabl',\n",
+       " 'love till someon stole afford replac yet go',\n",
+       " 'alexa rock',\n",
+       " 'got gift love never would bought one allow play music amozon prime music worth also give new brief tell joke',\n",
+       " '',\n",
+       " 'mom bought echo dot repeat ask take one great told two day made take hour later could not live life without amaz four larg speaker small echo dot return say go order alexa speaker go big get echo otherwis tou return two echo dot live without',\n",
+       " 'love great product',\n",
+       " 'easi set user friendli',\n",
+       " 'realli disappoint alexa plug wall socket time fault not check made assumpt compani technolog advanc amazon would sell product recharg batteri could return would appl music boom speaker give flexibl alexa',\n",
+       " 'think nd gen sound good st aux could add extern speaker go get dot nd issu uniqu unit understand overrid default prevent play blue tooth speaker play group get delay use bt speaker unit not heard abl play group use bt speaker',\n",
+       " 'everyth',\n",
+       " 'like interact ask question like ask setup schedul connect lamp',\n",
+       " 'supberb sound definit worth extra money listen lot music',\n",
+       " 'realli love amazon echo think sound qualiti great lot fun realli handi music get updat weather sport',\n",
+       " 'love grandkid',\n",
+       " 'far work well not alway intuit link differ devic skill get hang',\n",
+       " 'work advertis',\n",
+       " 'love',\n",
+       " 'love new addit hous speaker qualiti great love alexa two not complaint suggest futur seri would better commun abil exampl smart light hous unless specifi kitchen light kitchen light prior command either respond say recogn may want alexa respond say thank afterward repeat alexa thank time respond husband know sound odd laugh mayb southern thing want alexa manner',\n",
+       " 'like everyth music trivia game weather',\n",
+       " 'describ receiv time not like automat enrol music',\n",
+       " 'great devic',\n",
+       " 'own echo overa year new lack easi way increas decreas volum without tell increas decreas volum hard wife sinc english second languag born korea sound echo superb keep',\n",
+       " 'love kitchen work well',\n",
+       " 'nice impress wish say though',\n",
+       " 'love product nice easi access much info',\n",
+       " 'got great sound bass work time still hot miss recogn thing',\n",
+       " 'still discov echo',\n",
+       " 'amaz paroduct',\n",
+       " 'good hear rang sound qualiti bit complic set quit understand lot even speak slowli clearli love flash brief featur interfac abod home secur system',\n",
+       " 'speaker sound good',\n",
+       " 'absolut love',\n",
+       " 'best part product control thermostat light hous anyth dislik',\n",
+       " 'thoroughli enjoy amazon echo instal easi use alexa app purchas kasa smart plug control live room light instal easi use kasa app sinqu right echo enjoy play music echo sound qualiti awesom ad kasa smart bulb kitchen setup seamless look forward ad autom home',\n",
+       " 'home entertain',\n",
+       " 'cool product easi setup fun use sound qualiti much better anticip',\n",
+       " 'love great sound easi connect use',\n",
+       " 'work fairli new smart tv mainli tv manufactur lg fault due not support anyth older tv year smart lock also need addit piec equip order connect well speaker sound great work well',\n",
+       " 'great sound littl speaker',\n",
+       " 'enjoy',\n",
+       " '',\n",
+       " 'cool',\n",
+       " 'good qualiti great sound qualiti',\n",
+       " 'work perfectli',\n",
+       " 'great product sometim alexa not understand command fire tv fabul speaker',\n",
+       " 'love echo great sound smart',\n",
+       " 'sure love',\n",
+       " 'play great',\n",
+       " 'work absolut great',\n",
+       " 'amaz product great sound qualiti',\n",
+       " 'best thing invest thank much',\n",
+       " 'extrem impress item bought warehous outlet minor imperfect tell even one work great come packag seal damag miss anyth like sound qualiti see knock not bose great famili easi use minor learn curv learn voic integr seamlessli amazon servic wait get classroom lot fun even speaker let alon plan',\n",
+       " 'love echo show bedroom wonder music info sleep sound',\n",
+       " 'awesom life changer serious abl start morn alexa wake alarm play music gotten use voic anoth room listen say love echo hesit get one price speaker unbeliev buy cordless holder take echo anywher love purchas love alexa',\n",
+       " 'not super impress alexa prime laps play anyth smart enough differenti among spotifi account use either randomli speak nobodi talk today unplug not sure ever use alexa',\n",
+       " 'like everyth',\n",
+       " 'like',\n",
+       " 'never issu buy use electron long get good like new read comment see use',\n",
+       " 'famili realli love new echo',\n",
+       " 'bought wife love',\n",
+       " 'fun got today pod go car use hous',\n",
+       " 'like',\n",
+       " 'third echo worth everi penni like household employe small flat rate keep bedroom live room drop use intercom listen music answer quick question alarm wake school etc',\n",
+       " 'listen music set timer',\n",
+       " 'receiv echo perfect condit devic easi set respond quickli without issu alexa great addit famili',\n",
+       " 'good sound like music schedul like get random thought record think joke cute',\n",
+       " 'purchas begin learn far pleas amaz differ action perform enjoy look forward learn option provid',\n",
+       " 'echo great other even though smaller',\n",
+       " 'funni buy someth look fun wind total use part home love',\n",
+       " 'bought replac dot live room speaker slightli better hear better tv unfortun understand respond request well dot frequent request time get want dot usual exactli want first request consid upgrad',\n",
+       " 'good experi far second gener echo mani thing learn not time yet right mostli enjoy music weather updat use alarm featur person also purchas mini smart socket ye excit begin use',\n",
+       " 'troubl connect tv not exactli tech smart sure one grandson figur far use mostli music',\n",
+       " 'simpli love echo hardli watch tv anymor busi listen music speaker pretti goo size fun skill realli make echo fun whole famili',\n",
+       " 'enjoy entir echo experi',\n",
+       " 'easi set',\n",
+       " 'echo amaz devic mani time seem intuit time ask someth seem clear simpl get result instal fairli straightforward mess sever time simpli thought step complet actual made lose ground figur advic patient app let know move next step biggest issu moment sever echo devic home would like use intercom told done howev make echo awar other exist ask alexa answer instruct chang name know like fault would think design would anticip make easier find need instruct small deal mani devic savvi peopl challeng',\n",
+       " 'love much',\n",
+       " 'origin alexa tap far nd gener best happi see make improv new one would great updat littl think would help lot bug happi play music throughout whole hous adjust bass trebl thank',\n",
+       " 'pleas echo nd gener nice alexa avail music weather news probabl lot discov',\n",
+       " 'pleasantli surpris sound qualiti echo big fan deep bass might not suffici though potenti control home option explor evolv home smart home voic recognit impress stylish fun regret purchas great technic chang peopl ask play song movi respond instantli elderli love one would great gift connect wifi simpl use want unlimit music control sure amazon prime premium spotifi blown away person dj even convers echo not embarrass say echo made laugh coupl time ask tell joke tell packag sinc amazon prime addict come extrem handi',\n",
+       " 'easi setup love thing',\n",
+       " 'alexa throughout hous futur arriv',\n",
+       " 'alreadi alexa amazon find today could not resist get echo also best thing ever use side hous happier',\n",
+       " 'arriv expect',\n",
+       " 'bought week ago everyth product excel forget buy charger order must take outsid pool not worri hire electrician put outlet yard',\n",
+       " 'terrif',\n",
+       " 'love echo',\n",
+       " 'smaller origin look nicer',\n",
+       " 'work great',\n",
+       " 'husband would call late adopt come technolog decid would tri echo serv primarili music sourc wow amaz great sound also great time listen favorit song buy ask alexa may even buy one elderli dad think enjoy one listen music even place call us',\n",
+       " 'realli enjoy chang directv channel play iheartradio pandora adjust ac thermostat turn live room light outsid light',\n",
+       " 'want one bought prime day absolut love',\n",
+       " 'glad got echo bluetooth speaker alexa much stuff non smart speaker person love timer featur help cook multipl thing simultan pandora integr anoth featur use daili happi prime day purchas get echo hub echo dot futur',\n",
+       " 'see subject line love',\n",
+       " 'love',\n",
+       " 'easi setup',\n",
+       " 'hesit buy echo echo dot seem good enough echo except sound qualiti realli feel need howev glad got differ sound realli far superior echo dot listen greatest showman littl power',\n",
+       " 'sound qualiti great still learn differ thing fun',\n",
+       " 'got good deal work great prime setup bit pain fault crappi internet servic work great nice sound small speaker',\n",
+       " 'love',\n",
+       " 'work great perfect offic',\n",
+       " 'love one insid hous one pool good bose speaker around hous',\n",
+       " 'easi use amaz',\n",
+       " 'nice product',\n",
+       " 'love echo total amaz speaker qualiti bum buy two sinc got prime day',\n",
+       " 'respons great sound qualiti size',\n",
+       " 'effici amaz cool use often everi day',\n",
+       " 'impress qualiti sound echo definit compar bose mini gave star use appl music account',\n",
+       " 'technolog small devic price good sound amaz must featur home',\n",
+       " 'mainli use music learn time realli noth bad say',\n",
+       " 'replac st gen concern smaller unit not sound wrong anyth volum clear good product',\n",
+       " 'great addit echo plu',\n",
+       " 'best',\n",
+       " 'love featur play music everi room multipl echo',\n",
+       " 'love alexa surpris much use',\n",
+       " 'use product enjoy love',\n",
+       " 'easi use great sound great purchas great price',\n",
+       " 'easi set issu',\n",
+       " 'unit add much pleasur echo plu music inform home one room',\n",
+       " 'extrem use simpl thing like spotifi audibl thing like sometim answer everyth ask still nice use',\n",
+       " 'difficult set keep time enter password',\n",
+       " 'get use use echo use shop list listen music timer work great far',\n",
+       " 'cool lot fun use week still learn capabl',\n",
+       " 'love love',\n",
+       " 'love hard time set app',\n",
+       " 'use offic anoth apart music inform',\n",
+       " ...]"
+      ]
+     },
+     "execution_count": 91,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "corpus"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 92,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "counter = CountVectorizer(max_features = 2500)\n",
+    "X = counter.fit_transform(corpus).toarray()\n",
+    "y = alexa.iloc[:, 4].values"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 93,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['abay',\n",
+       " 'abc',\n",
+       " 'abd',\n",
+       " 'abil',\n",
+       " 'abl',\n",
+       " 'abod',\n",
+       " 'absolut',\n",
+       " 'absolutli',\n",
+       " 'ac',\n",
+       " 'accent',\n",
+       " 'accept',\n",
+       " 'access',\n",
+       " 'accessori',\n",
+       " 'accesss',\n",
+       " 'accid',\n",
+       " 'accident',\n",
+       " 'accompani',\n",
+       " 'accomplish',\n",
+       " 'accord',\n",
+       " 'accordingli',\n",
+       " 'account',\n",
+       " 'accur',\n",
+       " 'accuraci',\n",
+       " 'accustom',\n",
+       " 'acknowledg',\n",
+       " 'acoust',\n",
+       " 'across',\n",
+       " 'act',\n",
+       " 'action',\n",
+       " 'activ',\n",
+       " 'actual',\n",
+       " 'ad',\n",
+       " 'adapt',\n",
+       " 'add',\n",
+       " 'addict',\n",
+       " 'addit',\n",
+       " 'addon',\n",
+       " 'address',\n",
+       " 'adept',\n",
+       " 'adequ',\n",
+       " 'adjac',\n",
+       " 'adjust',\n",
+       " 'admit',\n",
+       " 'adopt',\n",
+       " 'ador',\n",
+       " 'adult',\n",
+       " 'advanc',\n",
+       " 'advantag',\n",
+       " 'advertis',\n",
+       " 'advic',\n",
+       " 'advis',\n",
+       " 'aesthet',\n",
+       " 'af',\n",
+       " 'affirm',\n",
+       " 'afford',\n",
+       " 'afraid',\n",
+       " 'afternoon',\n",
+       " 'afterward',\n",
+       " 'age',\n",
+       " 'agent',\n",
+       " 'ago',\n",
+       " 'agre',\n",
+       " 'agreement',\n",
+       " 'ahead',\n",
+       " 'ai',\n",
+       " 'aid',\n",
+       " 'aint',\n",
+       " 'air',\n",
+       " 'aka',\n",
+       " 'al',\n",
+       " 'alabama',\n",
+       " 'alarm',\n",
+       " 'albeit',\n",
+       " 'alcohol',\n",
+       " 'alert',\n",
+       " 'alex',\n",
+       " 'alexa',\n",
+       " 'alexi',\n",
+       " 'alexia',\n",
+       " 'alexu',\n",
+       " 'algo',\n",
+       " 'aliv',\n",
+       " 'allevi',\n",
+       " 'allow',\n",
+       " 'allrecip',\n",
+       " 'almost',\n",
+       " 'alon',\n",
+       " 'along',\n",
+       " 'alongsid',\n",
+       " 'alot',\n",
+       " 'aloud',\n",
+       " 'alread',\n",
+       " 'alreadi',\n",
+       " 'alright',\n",
+       " 'also',\n",
+       " 'alter',\n",
+       " 'altern',\n",
+       " 'although',\n",
+       " 'alway',\n",
+       " 'amaonmaz',\n",
+       " 'amax',\n",
+       " 'amaz',\n",
+       " 'amazin',\n",
+       " 'amazingli',\n",
+       " 'amazon',\n",
+       " 'amazonia',\n",
+       " 'ambient',\n",
+       " 'american',\n",
+       " 'among',\n",
+       " 'amount',\n",
+       " 'amozon',\n",
+       " 'amplifi',\n",
+       " 'amus',\n",
+       " 'analog',\n",
+       " 'and',\n",
+       " 'android',\n",
+       " 'angl',\n",
+       " 'annoy',\n",
+       " 'anoth',\n",
+       " 'answer',\n",
+       " 'ant',\n",
+       " 'anti',\n",
+       " 'anticip',\n",
+       " 'anybodi',\n",
+       " 'anyhow',\n",
+       " 'anylist',\n",
+       " 'anymor',\n",
+       " 'anyon',\n",
+       " 'anypod',\n",
+       " 'anyth',\n",
+       " 'anytim',\n",
+       " 'anyway',\n",
+       " 'anywher',\n",
+       " 'apart',\n",
+       " 'app',\n",
+       " 'appar',\n",
+       " 'appeal',\n",
+       " 'appear',\n",
+       " 'appl',\n",
+       " 'applianc',\n",
+       " 'applic',\n",
+       " 'appoint',\n",
+       " 'appreci',\n",
+       " 'apprehens',\n",
+       " 'approach',\n",
+       " 'appropri',\n",
+       " 'approxim',\n",
+       " 'area',\n",
+       " 'arent',\n",
+       " 'argu',\n",
+       " 'argument',\n",
+       " 'aris',\n",
+       " 'arlo',\n",
+       " 'arm',\n",
+       " 'around',\n",
+       " 'array',\n",
+       " 'arriv',\n",
+       " 'articl',\n",
+       " 'artist',\n",
+       " 'asap',\n",
+       " 'ase',\n",
+       " 'ask',\n",
+       " 'asleep',\n",
+       " 'aspect',\n",
+       " 'ass',\n",
+       " 'assign',\n",
+       " 'assist',\n",
+       " 'assum',\n",
+       " 'assumpt',\n",
+       " 'atenc',\n",
+       " 'atmospher',\n",
+       " 'atr',\n",
+       " 'attach',\n",
+       " 'attempt',\n",
+       " 'attent',\n",
+       " 'attract',\n",
+       " 'audibl',\n",
+       " 'audio',\n",
+       " 'audioappl',\n",
+       " 'audiobook',\n",
+       " 'audiophil',\n",
+       " 'august',\n",
+       " 'aunt',\n",
+       " 'auto',\n",
+       " 'autom',\n",
+       " 'automat',\n",
+       " 'aux',\n",
+       " 'auxiliari',\n",
+       " 'av',\n",
+       " 'avail',\n",
+       " 'avoid',\n",
+       " 'aw',\n",
+       " 'awak',\n",
+       " 'awar',\n",
+       " 'away',\n",
+       " 'awesom',\n",
+       " 'awhil',\n",
+       " 'awkward',\n",
+       " 'awsom',\n",
+       " 'babi',\n",
+       " 'back',\n",
+       " 'background',\n",
+       " 'backyard',\n",
+       " 'bad',\n",
+       " 'baffl',\n",
+       " 'ball',\n",
+       " 'ban',\n",
+       " 'band',\n",
+       " 'bandwagon',\n",
+       " 'bandwidth',\n",
+       " 'bang',\n",
+       " 'bar',\n",
+       " 'bare',\n",
+       " 'bargain',\n",
+       " 'bark',\n",
+       " 'barn',\n",
+       " 'barret',\n",
+       " 'barri',\n",
+       " 'base',\n",
+       " 'basebal',\n",
+       " 'basement',\n",
+       " 'basic',\n",
+       " 'bass',\n",
+       " 'bathroom',\n",
+       " 'batman',\n",
+       " 'batteri',\n",
+       " 'bc',\n",
+       " 'beam',\n",
+       " 'beat',\n",
+       " 'beauti',\n",
+       " 'becam',\n",
+       " 'becauss',\n",
+       " 'becom',\n",
+       " 'bed',\n",
+       " 'bedroom',\n",
+       " 'bedsid',\n",
+       " 'bedtim',\n",
+       " 'beefi',\n",
+       " 'begin',\n",
+       " 'beginn',\n",
+       " 'begun',\n",
+       " 'behav',\n",
+       " 'behind',\n",
+       " 'believ',\n",
+       " 'bell',\n",
+       " 'belong',\n",
+       " 'benefit',\n",
+       " 'besid',\n",
+       " 'best',\n",
+       " 'bet',\n",
+       " 'beta',\n",
+       " 'better',\n",
+       " 'bettter',\n",
+       " 'beyond',\n",
+       " 'bezel',\n",
+       " 'bezo',\n",
+       " 'bf',\n",
+       " 'bff',\n",
+       " 'bibl',\n",
+       " 'big',\n",
+       " 'bigger',\n",
+       " 'biggest',\n",
+       " 'bill',\n",
+       " 'billboard',\n",
+       " 'bing',\n",
+       " 'birth',\n",
+       " 'birthday',\n",
+       " 'bit',\n",
+       " 'bizarr',\n",
+       " 'black',\n",
+       " 'blanket',\n",
+       " 'blast',\n",
+       " 'bless',\n",
+       " 'blind',\n",
+       " 'blink',\n",
+       " 'block',\n",
+       " 'blood',\n",
+       " 'bloomberg',\n",
+       " 'blow',\n",
+       " 'blown',\n",
+       " 'blue',\n",
+       " 'blueprint',\n",
+       " 'bluetooth',\n",
+       " 'blur',\n",
+       " 'board',\n",
+       " 'boat',\n",
+       " 'bob',\n",
+       " 'bodi',\n",
+       " 'bolt',\n",
+       " 'bonker',\n",
+       " 'bonu',\n",
+       " 'book',\n",
+       " 'boom',\n",
+       " 'boombox',\n",
+       " 'boost',\n",
+       " 'bore',\n",
+       " 'born',\n",
+       " 'bose',\n",
+       " 'boss',\n",
+       " 'bot',\n",
+       " 'bother',\n",
+       " 'bothersom',\n",
+       " 'bottom',\n",
+       " 'bough',\n",
+       " 'bought',\n",
+       " 'box',\n",
+       " 'boyfriend',\n",
+       " 'brainer',\n",
+       " 'brand',\n",
+       " 'brandnew',\n",
+       " 'bread',\n",
+       " 'break',\n",
+       " 'breakfast',\n",
+       " 'breez',\n",
+       " 'bridg',\n",
+       " 'brief',\n",
+       " 'bright',\n",
+       " 'bring',\n",
+       " 'british',\n",
+       " 'broadway',\n",
+       " 'broke',\n",
+       " 'broken',\n",
+       " 'brought',\n",
+       " 'bt',\n",
+       " 'buck',\n",
+       " 'buddi',\n",
+       " 'budget',\n",
+       " 'buffer',\n",
+       " 'buffet',\n",
+       " 'bug',\n",
+       " 'build',\n",
+       " 'built',\n",
+       " 'bulb',\n",
+       " 'buld',\n",
+       " 'bulki',\n",
+       " 'bum',\n",
+       " 'bunch',\n",
+       " 'bundl',\n",
+       " 'burn',\n",
+       " 'busi',\n",
+       " 'but',\n",
+       " 'button',\n",
+       " 'buy',\n",
+       " 'buyer',\n",
+       " 'buzz',\n",
+       " 'bye',\n",
+       " 'cabl',\n",
+       " 'calendar',\n",
+       " 'call',\n",
+       " 'calm',\n",
+       " 'calmer',\n",
+       " 'cam',\n",
+       " 'cambiar',\n",
+       " 'came',\n",
+       " 'camelot',\n",
+       " 'camera',\n",
+       " 'campu',\n",
+       " 'canari',\n",
+       " 'cancel',\n",
+       " 'cannot',\n",
+       " 'cant',\n",
+       " 'capabl',\n",
+       " 'capac',\n",
+       " 'capas',\n",
+       " 'car',\n",
+       " 'card',\n",
+       " 'cardsrot',\n",
+       " 'care',\n",
+       " 'careless',\n",
+       " 'carolina',\n",
+       " 'carri',\n",
+       " 'carrier',\n",
+       " 'cart',\n",
+       " 'cartoon',\n",
+       " 'case',\n",
+       " 'cat',\n",
+       " 'catch',\n",
+       " 'categori',\n",
+       " 'caus',\n",
+       " 'cave',\n",
+       " 'cb',\n",
+       " 'cd',\n",
+       " 'ceas',\n",
+       " 'ceil',\n",
+       " 'celeb',\n",
+       " 'cell',\n",
+       " 'cellphon',\n",
+       " 'cent',\n",
+       " 'center',\n",
+       " 'certain',\n",
+       " 'certainli',\n",
+       " 'certifi',\n",
+       " 'chachki',\n",
+       " 'chair',\n",
+       " 'chalk',\n",
+       " 'challeng',\n",
+       " 'champ',\n",
+       " 'chanc',\n",
+       " 'chang',\n",
+       " 'changer',\n",
+       " 'channel',\n",
+       " 'characterist',\n",
+       " 'charg',\n",
+       " 'chargeabl',\n",
+       " 'charger',\n",
+       " 'charlott',\n",
+       " 'charm',\n",
+       " 'chart',\n",
+       " 'chat',\n",
+       " 'cheap',\n",
+       " 'cheaper',\n",
+       " 'cheapest',\n",
+       " 'check',\n",
+       " 'child',\n",
+       " 'childhood',\n",
+       " 'children',\n",
+       " 'chocol',\n",
+       " 'choic',\n",
+       " 'choos',\n",
+       " 'choppi',\n",
+       " 'chore',\n",
+       " 'chose',\n",
+       " 'chosen',\n",
+       " 'christma',\n",
+       " 'chromebook',\n",
+       " 'chromecast',\n",
+       " 'circl',\n",
+       " 'citi',\n",
+       " 'citizen',\n",
+       " 'clapper',\n",
+       " 'clariti',\n",
+       " 'class',\n",
+       " 'classic',\n",
+       " 'classroom',\n",
+       " 'clean',\n",
+       " 'cleaner',\n",
+       " 'clear',\n",
+       " 'clearer',\n",
+       " 'clearli',\n",
+       " 'click',\n",
+       " 'client',\n",
+       " 'clip',\n",
+       " 'clock',\n",
+       " 'clockhom',\n",
+       " 'clone',\n",
+       " 'close',\n",
+       " 'closer',\n",
+       " 'cloth',\n",
+       " 'cloud',\n",
+       " 'clue',\n",
+       " 'cm',\n",
+       " 'cnn',\n",
+       " 'co',\n",
+       " 'coast',\n",
+       " 'code',\n",
+       " 'coffe',\n",
+       " 'cohes',\n",
+       " 'collect',\n",
+       " 'collector',\n",
+       " 'colleg',\n",
+       " 'colon',\n",
+       " 'color',\n",
+       " 'com',\n",
+       " 'comand',\n",
+       " 'combin',\n",
+       " 'come',\n",
+       " 'comelet',\n",
+       " 'comfort',\n",
+       " 'command',\n",
+       " 'comment',\n",
+       " 'commerci',\n",
+       " 'commod',\n",
+       " 'common',\n",
+       " 'commun',\n",
+       " 'commut',\n",
+       " 'como',\n",
+       " 'compac',\n",
+       " 'compact',\n",
+       " 'compani',\n",
+       " 'companion',\n",
+       " 'compar',\n",
+       " 'compat',\n",
+       " 'competit',\n",
+       " 'complac',\n",
+       " 'complain',\n",
+       " 'complaint',\n",
+       " 'complet',\n",
+       " 'complic',\n",
+       " 'compliment',\n",
+       " 'compon',\n",
+       " 'compound',\n",
+       " 'comput',\n",
+       " 'con',\n",
+       " 'concept',\n",
+       " 'concern',\n",
+       " 'concis',\n",
+       " 'condit',\n",
+       " 'conectado',\n",
+       " 'conferenc',\n",
+       " 'confid',\n",
+       " 'configur',\n",
+       " 'conflict',\n",
+       " 'confus',\n",
+       " 'connect',\n",
+       " 'consciou',\n",
+       " 'consid',\n",
+       " 'consist',\n",
+       " 'conspiraci',\n",
+       " 'constant',\n",
+       " 'constantli',\n",
+       " 'construct',\n",
+       " 'consult',\n",
+       " 'consum',\n",
+       " 'contact',\n",
+       " 'contain',\n",
+       " 'content',\n",
+       " 'contin',\n",
+       " 'continu',\n",
+       " 'control',\n",
+       " 'conveni',\n",
+       " 'convers',\n",
+       " 'convert',\n",
+       " 'convinc',\n",
+       " 'cook',\n",
+       " 'cool',\n",
+       " 'cooler',\n",
+       " 'coolest',\n",
+       " 'coop',\n",
+       " 'coordin',\n",
+       " 'cord',\n",
+       " 'cordless',\n",
+       " 'cordthank',\n",
+       " 'core',\n",
+       " 'correct',\n",
+       " 'correctli',\n",
+       " 'correspond',\n",
+       " 'cortna',\n",
+       " 'cost',\n",
+       " 'cotton',\n",
+       " 'couch',\n",
+       " 'could',\n",
+       " 'counter',\n",
+       " 'counti',\n",
+       " 'countless',\n",
+       " 'countri',\n",
+       " 'coupl',\n",
+       " 'cours',\n",
+       " 'cousin',\n",
+       " 'cover',\n",
+       " 'cozi',\n",
+       " 'cpr',\n",
+       " 'cr',\n",
+       " 'crack',\n",
+       " 'crackl',\n",
+       " 'crap',\n",
+       " 'crappi',\n",
+       " 'crash',\n",
+       " 'crazi',\n",
+       " 'creapi',\n",
+       " 'creat',\n",
+       " 'credit',\n",
+       " 'creepi',\n",
+       " 'crib',\n",
+       " 'crisp',\n",
+       " 'critic',\n",
+       " 'crop',\n",
+       " 'cross',\n",
+       " 'crunchyrol',\n",
+       " 'csi',\n",
+       " 'cualquier',\n",
+       " 'cue',\n",
+       " 'cula',\n",
+       " 'cumbersom',\n",
+       " 'cup',\n",
+       " 'current',\n",
+       " 'curs',\n",
+       " 'curv',\n",
+       " 'custom',\n",
+       " 'customiz',\n",
+       " 'cut',\n",
+       " 'cute',\n",
+       " 'cuti',\n",
+       " 'cycl',\n",
+       " 'cylind',\n",
+       " 'cylinderc',\n",
+       " 'dad',\n",
+       " 'daili',\n",
+       " 'damag',\n",
+       " 'danc',\n",
+       " 'dare',\n",
+       " 'dark',\n",
+       " 'darn',\n",
+       " 'dash',\n",
+       " 'data',\n",
+       " 'date',\n",
+       " 'daughter',\n",
+       " 'day',\n",
+       " 'de',\n",
+       " 'deactiv',\n",
+       " 'dead',\n",
+       " 'deaf',\n",
+       " 'deal',\n",
+       " 'debat',\n",
+       " 'dec',\n",
+       " 'decent',\n",
+       " 'decid',\n",
+       " 'decis',\n",
+       " 'deck',\n",
+       " 'decor',\n",
+       " 'decreas',\n",
+       " 'dedic',\n",
+       " 'deep',\n",
+       " 'deeper',\n",
+       " 'default',\n",
+       " 'defeat',\n",
+       " 'defect',\n",
+       " 'defenc',\n",
+       " 'defent',\n",
+       " 'defin',\n",
+       " 'definit',\n",
+       " 'defus',\n",
+       " 'degre',\n",
+       " 'del',\n",
+       " 'delay',\n",
+       " 'delet',\n",
+       " 'deliv',\n",
+       " 'deliveri',\n",
+       " 'demand',\n",
+       " 'dementia',\n",
+       " 'den',\n",
+       " 'denon',\n",
+       " 'dens',\n",
+       " 'dent',\n",
+       " 'depart',\n",
+       " 'depend',\n",
+       " 'deploy',\n",
+       " 'depreci',\n",
+       " 'depth',\n",
+       " 'describ',\n",
+       " 'descript',\n",
+       " 'design',\n",
+       " 'desir',\n",
+       " 'desk',\n",
+       " 'desktop',\n",
+       " 'despit',\n",
+       " 'detail',\n",
+       " 'detect',\n",
+       " 'determin',\n",
+       " 'develop',\n",
+       " 'devic',\n",
+       " 'deviceoveral',\n",
+       " 'devis',\n",
+       " 'dhiw',\n",
+       " 'diagnost',\n",
+       " 'dial',\n",
+       " 'dictionari',\n",
+       " 'didnt',\n",
+       " 'die',\n",
+       " 'differ',\n",
+       " 'differenti',\n",
+       " 'difficult',\n",
+       " 'difficulti',\n",
+       " 'dig',\n",
+       " 'digit',\n",
+       " 'digitol',\n",
+       " 'dim',\n",
+       " 'dimat',\n",
+       " 'dimens',\n",
+       " 'dimmer',\n",
+       " 'dine',\n",
+       " 'dinner',\n",
+       " 'dinosaur',\n",
+       " 'direct',\n",
+       " 'directli',\n",
+       " 'directtv',\n",
+       " 'directv',\n",
+       " 'disabl',\n",
+       " 'disagre',\n",
+       " 'disappoint',\n",
+       " 'disarm',\n",
+       " 'disast',\n",
+       " 'disconcert',\n",
+       " 'disconnect',\n",
+       " 'discount',\n",
+       " 'discourag',\n",
+       " 'discov',\n",
+       " 'discoveredthat',\n",
+       " 'discoveri',\n",
+       " 'dish',\n",
+       " 'dislik',\n",
+       " 'dismiss',\n",
+       " 'display',\n",
+       " 'dispos',\n",
+       " 'dissatisfact',\n",
+       " 'distanc',\n",
+       " 'distort',\n",
+       " 'distract',\n",
+       " 'disturb',\n",
+       " 'ditch',\n",
+       " 'divers',\n",
+       " 'divertido',\n",
+       " 'dj',\n",
+       " 'dock',\n",
+       " 'doctor',\n",
+       " 'document',\n",
+       " 'dodg',\n",
+       " 'doesnt',\n",
+       " 'dog',\n",
+       " 'dollar',\n",
+       " 'domain',\n",
+       " 'done',\n",
+       " 'dont',\n",
+       " 'door',\n",
+       " 'doorbel',\n",
+       " 'dorm',\n",
+       " 'dot',\n",
+       " 'doubt',\n",
+       " 'downfal',\n",
+       " 'download',\n",
+       " 'downright',\n",
+       " 'downsid',\n",
+       " 'downstair',\n",
+       " 'dp',\n",
+       " 'drag',\n",
+       " 'draw',\n",
+       " 'drawback',\n",
+       " 'dress',\n",
+       " 'drive',\n",
+       " 'driven',\n",
+       " 'driver',\n",
+       " 'drop',\n",
+       " 'dryer',\n",
+       " 'due',\n",
+       " 'dumb',\n",
+       " 'dumber',\n",
+       " 'dunc',\n",
+       " 'dunno',\n",
+       " 'dust',\n",
+       " 'duti',\n",
+       " 'dylan',\n",
+       " 'ear',\n",
+       " 'earli',\n",
+       " 'earn',\n",
+       " 'eas',\n",
+       " 'easi',\n",
+       " 'easier',\n",
+       " 'easili',\n",
+       " 'east',\n",
+       " 'eavesdrop',\n",
+       " 'echo',\n",
+       " 'echoplu',\n",
+       " 'eco',\n",
+       " 'ecobe',\n",
+       " 'ecoo',\n",
+       " 'ecosystem',\n",
+       " 'ed',\n",
+       " 'edg',\n",
+       " 'edit',\n",
+       " 'educ',\n",
+       " 'eeaanh',\n",
+       " 'effect',\n",
+       " 'effici',\n",
+       " 'effort',\n",
+       " 'effortless',\n",
+       " 'eg',\n",
+       " 'eh',\n",
+       " 'either',\n",
+       " 'el',\n",
+       " 'elderli',\n",
+       " 'electeon',\n",
+       " 'electr',\n",
+       " 'electrician',\n",
+       " 'electron',\n",
+       " 'eleg',\n",
+       " 'element',\n",
+       " 'elimin',\n",
+       " 'els',\n",
+       " 'elsewher',\n",
+       " 'em',\n",
+       " 'email',\n",
+       " 'embarrass',\n",
+       " 'emerg',\n",
+       " 'emoji',\n",
+       " 'employe',\n",
+       " 'en',\n",
+       " 'enabl',\n",
+       " 'encyclopedia',\n",
+       " 'end',\n",
+       " 'endless',\n",
+       " 'engag',\n",
+       " 'engin',\n",
+       " 'english',\n",
+       " 'enhanc',\n",
+       " 'enjoy',\n",
+       " 'enough',\n",
+       " 'enrol',\n",
+       " 'enter',\n",
+       " 'entertain',\n",
+       " 'entir',\n",
+       " 'entri',\n",
+       " 'eq',\n",
+       " 'equal',\n",
+       " 'equip',\n",
+       " 'equipo',\n",
+       " 'error',\n",
+       " 'es',\n",
+       " 'escencia',\n",
+       " 'esp',\n",
+       " 'espa',\n",
+       " 'espanol',\n",
+       " 'especi',\n",
+       " 'essenti',\n",
+       " 'est',\n",
+       " 'esta',\n",
+       " 'estar',\n",
+       " 'estudio',\n",
+       " 'etc',\n",
+       " 'etekc',\n",
+       " 'ethernet',\n",
+       " 'evalu',\n",
+       " 'even',\n",
+       " 'event',\n",
+       " 'eventu',\n",
+       " 'ever',\n",
+       " 'everi',\n",
+       " 'everybodi',\n",
+       " 'everyday',\n",
+       " 'everyon',\n",
+       " 'everyth',\n",
+       " 'everytim',\n",
+       " 'everywher',\n",
+       " 'eveyday',\n",
+       " 'evolv',\n",
+       " 'evryth',\n",
+       " 'ex',\n",
+       " 'exact',\n",
+       " 'exactli',\n",
+       " 'exampl',\n",
+       " 'exasper',\n",
+       " 'exce',\n",
+       " 'exceed',\n",
+       " 'excel',\n",
+       " 'excelent',\n",
+       " 'except',\n",
+       " 'excess',\n",
+       " 'exchang',\n",
+       " 'excit',\n",
+       " 'excus',\n",
+       " 'exho',\n",
+       " 'exist',\n",
+       " 'expand',\n",
+       " 'expect',\n",
+       " 'expens',\n",
+       " 'experi',\n",
+       " 'experienc',\n",
+       " 'expert',\n",
+       " 'expir',\n",
+       " 'explan',\n",
+       " 'explicit',\n",
+       " 'explor',\n",
+       " 'extend',\n",
+       " 'extens',\n",
+       " 'extent',\n",
+       " 'extern',\n",
+       " 'extra',\n",
+       " 'extrem',\n",
+       " 'extrimelli',\n",
+       " 'eye',\n",
+       " 'fabric',\n",
+       " 'fabul',\n",
+       " 'face',\n",
+       " 'facebook',\n",
+       " 'facetim',\n",
+       " 'fact',\n",
+       " 'factor',\n",
+       " 'factori',\n",
+       " 'fail',\n",
+       " 'fair',\n",
+       " 'fairli',\n",
+       " 'fall',\n",
+       " 'fals',\n",
+       " 'famili',\n",
+       " 'familiar',\n",
+       " 'fan',\n",
+       " 'fanat',\n",
+       " 'fantast',\n",
+       " 'far',\n",
+       " 'farther',\n",
+       " 'fascin',\n",
+       " 'fashion',\n",
+       " 'fast',\n",
+       " 'faster',\n",
+       " 'fat',\n",
+       " 'father',\n",
+       " 'fault',\n",
+       " 'faulti',\n",
+       " 'favorit',\n",
+       " 'featu',\n",
+       " 'featur',\n",
+       " 'fee',\n",
+       " 'feed',\n",
+       " 'feedback',\n",
+       " 'feee',\n",
+       " 'feel',\n",
+       " 'feet',\n",
+       " 'fell',\n",
+       " 'felt',\n",
+       " 'fenc',\n",
+       " 'fi',\n",
+       " 'fianc',\n",
+       " 'fidel',\n",
+       " 'figur',\n",
+       " 'fill',\n",
+       " 'final',\n",
+       " 'find',\n",
+       " 'fine',\n",
+       " 'fingertip',\n",
+       " 'finicki',\n",
+       " 'finish',\n",
+       " 'fio',\n",
+       " 'fire',\n",
+       " 'firestick',\n",
+       " 'firmar',\n",
+       " 'firmwar',\n",
+       " 'first',\n",
+       " 'fit',\n",
+       " 'five',\n",
+       " 'fix',\n",
+       " 'fixtur',\n",
+       " 'flash',\n",
+       " 'flat',\n",
+       " 'flaw',\n",
+       " 'flawless',\n",
+       " 'flawlessli',\n",
+       " 'fledg',\n",
+       " 'flexibl',\n",
+       " 'flicker',\n",
+       " 'float',\n",
+       " 'floor',\n",
+       " 'fm',\n",
+       " 'folk',\n",
+       " 'follow',\n",
+       " 'font',\n",
+       " 'foot',\n",
+       " 'footbal',\n",
+       " 'footprint',\n",
+       " 'forc',\n",
+       " 'forecast',\n",
+       " 'forev',\n",
+       " 'forget',\n",
+       " 'forgot',\n",
+       " 'forgotten',\n",
+       " 'forjust',\n",
+       " 'form',\n",
+       " 'forth',\n",
+       " 'fortun',\n",
+       " 'forum',\n",
+       " 'forward',\n",
+       " 'found',\n",
+       " 'four',\n",
+       " 'fourth',\n",
+       " 'free',\n",
+       " 'freez',\n",
+       " 'frequent',\n",
+       " 'fri',\n",
+       " 'friday',\n",
+       " 'friend',\n",
+       " 'friendli',\n",
+       " 'front',\n",
+       " 'frustrat',\n",
+       " 'full',\n",
+       " 'fuller',\n",
+       " 'fulli',\n",
+       " 'fumbl',\n",
+       " 'fun',\n",
+       " 'funcion',\n",
+       " 'funciona',\n",
+       " 'funcionamiento',\n",
+       " 'function',\n",
+       " 'funni',\n",
+       " 'furthermor',\n",
+       " 'fuss',\n",
+       " 'fussi',\n",
+       " 'futur',\n",
+       " 'fw',\n",
+       " 'gadget',\n",
+       " 'gain',\n",
+       " 'galaxi',\n",
+       " 'game',\n",
+       " 'gameshow',\n",
+       " 'gap',\n",
+       " 'garag',\n",
+       " 'garbag',\n",
+       " 'gateway',\n",
+       " 'gather',\n",
+       " 'gave',\n",
+       " 'gazebo',\n",
+       " 'gb',\n",
+       " 'ge',\n",
+       " 'gear',\n",
+       " ...]"
+      ]
+     },
+     "execution_count": 93,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "counter.get_feature_names()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 94,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "127"
+      ]
+     },
+     "execution_count": 94,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "sum(sum(X == 4))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 95,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>rating</th>\n",
+       "      <th>date</th>\n",
+       "      <th>variation</th>\n",
+       "      <th>verified_reviews</th>\n",
+       "      <th>feedback</th>\n",
+       "      <th>length</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>46</th>\n",
+       "      <td>2</td>\n",
+       "      <td>30-Jul-18</td>\n",
+       "      <td>Charcoal Fabric</td>\n",
+       "      <td>\"It's like Siri, in fact, Siri answers more ac...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>165</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>111</th>\n",
+       "      <td>2</td>\n",
+       "      <td>30-Jul-18</td>\n",
+       "      <td>Charcoal Fabric</td>\n",
+       "      <td>Sound is terrible if u want good music too get...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>141</th>\n",
+       "      <td>1</td>\n",
+       "      <td>30-Jul-18</td>\n",
+       "      <td>Charcoal Fabric</td>\n",
+       "      <td>Not much features.</td>\n",
+       "      <td>0</td>\n",
+       "      <td>18</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>162</th>\n",
+       "      <td>1</td>\n",
+       "      <td>30-Jul-18</td>\n",
+       "      <td>Sandstone Fabric</td>\n",
+       "      <td>\"Stopped working after 2 weeks ,didn't follow ...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>89</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>176</th>\n",
+       "      <td>2</td>\n",
+       "      <td>30-Jul-18</td>\n",
+       "      <td>Heather Gray Fabric</td>\n",
+       "      <td>Sad joke. Worthless.</td>\n",
+       "      <td>0</td>\n",
+       "      <td>20</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>187</th>\n",
+       "      <td>2</td>\n",
+       "      <td>29-Jul-18</td>\n",
+       "      <td>Charcoal Fabric</td>\n",
+       "      <td>\"Really disappointed Alexa has to be plug-in t...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>340</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>205</th>\n",
+       "      <td>2</td>\n",
+       "      <td>29-Jul-18</td>\n",
+       "      <td>Sandstone Fabric</td>\n",
+       "      <td>It's got great sound and bass but it doesn't w...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>114</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>233</th>\n",
+       "      <td>2</td>\n",
+       "      <td>29-Jul-18</td>\n",
+       "      <td>Sandstone Fabric</td>\n",
+       "      <td>\"I am not super impressed with Alexa. When my ...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>309</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>299</th>\n",
+       "      <td>2</td>\n",
+       "      <td>29-Jul-18</td>\n",
+       "      <td>Charcoal Fabric</td>\n",
+       "      <td>Too difficult to set up.  It keeps timing out ...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>79</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>341</th>\n",
+       "      <td>1</td>\n",
+       "      <td>28-Jul-18</td>\n",
+       "      <td>Charcoal Fabric</td>\n",
+       "      <td>Alexa hardly came on..</td>\n",
+       "      <td>0</td>\n",
+       "      <td>22</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>350</th>\n",
+       "      <td>1</td>\n",
+       "      <td>31-Jul-18</td>\n",
+       "      <td>Black</td>\n",
+       "      <td>Item no longer works after just 5 months of us...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>109</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>361</th>\n",
+       "      <td>1</td>\n",
+       "      <td>29-Jul-18</td>\n",
+       "      <td>Black</td>\n",
+       "      <td>This thing barely works. You have to select 3r...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>154</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>368</th>\n",
+       "      <td>1</td>\n",
+       "      <td>28-Jul-18</td>\n",
+       "      <td>Black</td>\n",
+       "      <td>I returned 2 Echo Dots &amp; am only getting refun...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>181</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>369</th>\n",
+       "      <td>1</td>\n",
+       "      <td>28-Jul-18</td>\n",
+       "      <td>Black</td>\n",
+       "      <td>not working</td>\n",
+       "      <td>0</td>\n",
+       "      <td>11</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>373</th>\n",
+       "      <td>1</td>\n",
+       "      <td>27-Jul-18</td>\n",
+       "      <td>Black</td>\n",
+       "      <td>I'm an Echo fan but this one did not work</td>\n",
+       "      <td>0</td>\n",
+       "      <td>41</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>374</th>\n",
+       "      <td>1</td>\n",
+       "      <td>26-Jul-18</td>\n",
+       "      <td>Black</td>\n",
+       "      <td></td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>376</th>\n",
+       "      <td>2</td>\n",
+       "      <td>26-Jul-18</td>\n",
+       "      <td>Black</td>\n",
+       "      <td>Doesn't always respond when spoken to with pro...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>159</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>381</th>\n",
+       "      <td>1</td>\n",
+       "      <td>25-Jul-18</td>\n",
+       "      <td>White</td>\n",
+       "      <td>It worked for a month or so then it stopped. I...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>130</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>382</th>\n",
+       "      <td>2</td>\n",
+       "      <td>25-Jul-18</td>\n",
+       "      <td>Black</td>\n",
+       "      <td>Poor quality. Gave it away.</td>\n",
+       "      <td>0</td>\n",
+       "      <td>27</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>388</th>\n",
+       "      <td>1</td>\n",
+       "      <td>24-Jul-18</td>\n",
+       "      <td>Black</td>\n",
+       "      <td>\"Never could get it to work. A techie friend l...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>243</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     rating       date             variation  \\\n",
+       "46        2  30-Jul-18      Charcoal Fabric    \n",
+       "111       2  30-Jul-18      Charcoal Fabric    \n",
+       "141       1  30-Jul-18      Charcoal Fabric    \n",
+       "162       1  30-Jul-18     Sandstone Fabric    \n",
+       "176       2  30-Jul-18  Heather Gray Fabric    \n",
+       "187       2  29-Jul-18      Charcoal Fabric    \n",
+       "205       2  29-Jul-18     Sandstone Fabric    \n",
+       "233       2  29-Jul-18     Sandstone Fabric    \n",
+       "299       2  29-Jul-18      Charcoal Fabric    \n",
+       "341       1  28-Jul-18      Charcoal Fabric    \n",
+       "350       1  31-Jul-18                 Black   \n",
+       "361       1  29-Jul-18                 Black   \n",
+       "368       1  28-Jul-18                 Black   \n",
+       "369       1  28-Jul-18                 Black   \n",
+       "373       1  27-Jul-18                 Black   \n",
+       "374       1  26-Jul-18                 Black   \n",
+       "376       2  26-Jul-18                 Black   \n",
+       "381       1  25-Jul-18                 White   \n",
+       "382       2  25-Jul-18                 Black   \n",
+       "388       1  24-Jul-18                 Black   \n",
+       "\n",
+       "                                      verified_reviews  feedback  length  \n",
+       "46   \"It's like Siri, in fact, Siri answers more ac...         0     165  \n",
+       "111  Sound is terrible if u want good music too get...         0      53  \n",
+       "141                                 Not much features.         0      18  \n",
+       "162  \"Stopped working after 2 weeks ,didn't follow ...         0      89  \n",
+       "176                               Sad joke. Worthless.         0      20  \n",
+       "187  \"Really disappointed Alexa has to be plug-in t...         0     340  \n",
+       "205  It's got great sound and bass but it doesn't w...         0     114  \n",
+       "233  \"I am not super impressed with Alexa. When my ...         0     309  \n",
+       "299  Too difficult to set up.  It keeps timing out ...         0      79  \n",
+       "341                             Alexa hardly came on..         0      22  \n",
+       "350  Item no longer works after just 5 months of us...         0     109  \n",
+       "361  This thing barely works. You have to select 3r...         0     154  \n",
+       "368  I returned 2 Echo Dots & am only getting refun...         0     181  \n",
+       "369                                        not working         0      11  \n",
+       "373          I'm an Echo fan but this one did not work         0      41  \n",
+       "374                                                            0       1  \n",
+       "376  Doesn't always respond when spoken to with pro...         0     159  \n",
+       "381  It worked for a month or so then it stopped. I...         0     130  \n",
+       "382                        Poor quality. Gave it away.         0      27  \n",
+       "388  \"Never could get it to work. A techie friend l...         0     243  "
+      ]
+     },
+     "execution_count": 95,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "alexa[alexa['feedback']==0].head(20)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 96,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Daten werden in Test und Train Daten aufgeteilt\n",
+    "\n",
+    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 0.20, random_state = 0)\n",
+    "\n",
+    "classifier = DecisionTreeClassifier()\n",
+    "classifier.fit(X_train, y_train)\n",
+    "y_preddata = classifier.predict(X_test)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 103,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "The F1 score is:  73.798908703753\n",
+      "The precision score is:  74.67241379310346\n",
+      "The recall score is:  73.00347222222221\n",
+      "The accuracy score is:  92.06349206349206\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(\"The F1 score is: \", f1_score(y_test, y_preddata, average=\"macro\")*100)\n",
+    "print(\"The precision score is: \", precision_score(y_test, y_preddata, average=\"macro\")*(100))\n",
+    "print(\"The recall score is: \", recall_score(y_test, y_preddata, average=\"macro\")*100) \n",
+    "print(\"The accuracy score is: \", accuracy_score(y_test, y_preddata)*100)\n",
+    "\n",
+    "\n",
+    "# ## Decision tree (2. Variante)\n",
+    "# \n",
+    "# "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 98,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "dt_clf = DecisionTreeClassifier(class_weight='balanced')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 99,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "dt_clf.fit(X_train, y_train)               # Model fitting auf X_train,y_train\n",
+    "y_pred = dt_clf.predict(X_test)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 100,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[[ 30  24]\n",
+      " [ 46 530]]\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Confusion Matrix\n",
+    "cm = confusion_matrix(y_test,y_pred)\n",
+    "print(cm)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 101,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "              precision    recall  f1-score   support\n",
+      "\n",
+      "           0       0.39      0.56      0.46        54\n",
+      "           1       0.96      0.92      0.94       576\n",
+      "\n",
+      "    accuracy                           0.89       630\n",
+      "   macro avg       0.68      0.74      0.70       630\n",
+      "weighted avg       0.91      0.89      0.90       630\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "cr = classification_report(y_test ,y_pred)\n",
+    "print(cr)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 102,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0.8888888888888888\n"
+     ]
+    }
+   ],
+   "source": [
+    "acc=accuracy_score(y_test,y_pred)\n",
+    "print(acc)"
+   ]
+  }
+ ],
+ "metadata": {
+  "category": "CRM",
+  "interpreter": {
+   "hash": "d8ad938b111551bd971540a987a9651c3040c84fd74b784460cb61a1a48b653c"
+  },
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.3"
+  },
+  "title": "Sentiment analysis on amazon alexa reviews"
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
-- 
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