From a2ec87c1eb3006e6642d3ae9c2eb0fb91bd53414 Mon Sep 17 00:00:00 2001
From: Yassermurtada <81634936+Yassermurtada@users.noreply.github.com>
Date: Mon, 14 Feb 2022 21:13:47 +0100
Subject: [PATCH] Delete Health/Healthcare system finding causes and patterns
for common diseases directory
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-<a href="https://colab.research.google.com/github/AlexRossmann/machine-learning-services/blob/main/Health/Healthcare%20system%20finding%20causes%20and%20patterns%20for%20common%20diseases/notebook.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open Notebook In Google Colab"/></a>
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diff --git a/Health/Healthcare system finding causes and patterns for common diseases/notebook.ipynb b/Health/Healthcare system finding causes and patterns for common diseases/notebook.ipynb
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-{
- "cells": [
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "# Healthcare system finding causes and patterns for common diseases\n",
- "Through an analysis of the extensive data, models based on logarithms will be used to identify dependencies and patterns that will contribute their utility to machine predictions.\n",
- "Finally, a prediction will be determined in which common causes and patterns for common diseases will be found.\n"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "## 1. Business Understanding\n",
- "\n",
- "The health company WGO, which works in cooperation with various states and the World Health Organization, aims to create a nearly transparent and global health system.Due to higher incomes and a stable economy, the healthcare system of the states is based on several pillars and this, in turn, ensures that people are provided with access to different medical facilities over a large area. WGO, through the step of digitization, is taking a path whereby health is not built on the economy and a monetary basis. This company aims to use machine learning to identify the causes of regional diseases and their pathogens, and thus support the health systems of the affected countries with targeted measures.\n",
- "Basically, the generally formulated goal is to make a common standard of living accessible and achievable for the entire world population."
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "## 2. Data and Data Understanding\n",
- "\n",
- "The data sets used, which originate from studies and research work of the World Health Organization (WHO), contain a large number of different data.\n",
- "The selection, which can be used for data analysis and further processing, is diverse. A number of nearly 40 to 50 files, which contain data on different health aspects, are available.\n",
- "From this amount of files not all are considered. Especially data sets are considered, which contain health aspects, which have a negative influence on the health, the well-being and the life expectancy of a person. Another important feature of these datasets is that a large proportion of the files have regional attributes, which means that the target can be compared precisely on the basis of the country names in a dataset.\n",
- "Other attributes in these datasets include the separation of genders, the age of the subjects, and the number of diseases or diagnoses. In addition, some of the datasets are recorded with data over several years."
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "## 2.1. Import of Relevant Modules"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 1,
- "metadata": {
- "pycharm": {
- "name": "#%%\n"
- }
- },
- "outputs": [],
- "source": [
- "import pandas as pd\n",
- "import numpy as np\n",
- "import matplotlib.pyplot as plt\n",
- "import seaborn as sns\n",
- "sns.set()\n",
- "import statsmodels.api as sm\n",
- "import warnings\n",
- "warnings.filterwarnings('ignore')\n",
- "\n",
- "from sklearn.cluster import KMeans\n",
- "\n",
- "from sklearn.model_selection import train_test_split\n",
- "from sklearn.tree import DecisionTreeClassifier\n",
- "from sklearn.ensemble import RandomForestClassifier\n",
- "from sklearn.linear_model import LogisticRegression\n",
- "from sklearn.linear_model import LinearRegression\n",
- "from sklearn import metrics\n",
- "from sklearn.metrics import confusion_matrix, classification_report"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "## 2. 2. Read Data.csv"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 2,
- "metadata": {
- "pycharm": {
- "name": "#%%\n"
- }
- },
- "outputs": [
- {
- "data": {
- "text/html": [
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- "<style scoped>\n",
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- " .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>Country_Region</th>\n",
- " <th>first_1ConfirmedCases</th>\n",
- " <th>first_1Fatalities</th>\n",
- " <th>first_10ConfirmedCases</th>\n",
- " <th>first_50ConfirmedCases</th>\n",
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- " <th>cases_growth</th>\n",
- " <th>death_growth</th>\n",
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- " <th>Cancers (%)</th>\n",
- " <th>...</th>\n",
- " <th>total fertility rate</th>\n",
- " <th>obesity - adult prevalence rate</th>\n",
- " <th>school_shutdown_1case</th>\n",
- " <th>school_shutdown_10case</th>\n",
- " <th>school_shutdown_50case</th>\n",
- " <th>school_shutdown_1death</th>\n",
- " <th>FF_DayOfYear</th>\n",
- " <th>case1_DayOfYear</th>\n",
- " <th>case10_DayOfYear</th>\n",
- " <th>case50_DayOfYear</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>0</th>\n",
- " <td>Afghanistan</td>\n",
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- " <th>1</th>\n",
- " <td>Albania</td>\n",
- " <td>2020-03-09</td>\n",
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- " <td>76.0</td>\n",
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- " <tr>\n",
- " <th>2</th>\n",
- " <td>Algeria</td>\n",
- " <td>2020-02-25</td>\n",
- " <td>2020-03-12</td>\n",
- " <td>2020-03-04</td>\n",
- " <td>2020-03-16</td>\n",
- " <td>2020-03-21</td>\n",
- " <td>0.158588</td>\n",
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- " <td>6.481729</td>\n",
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- " <td>2.59</td>\n",
- " <td>27.4</td>\n",
- " <td>16.0</td>\n",
- " <td>8.0</td>\n",
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- " <td>-0.0</td>\n",
- " <td>72.0</td>\n",
- " <td>56</td>\n",
- " <td>64.0</td>\n",
- " <td>76.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>Andorra</td>\n",
- " <td>2020-03-02</td>\n",
- " <td>2020-03-22</td>\n",
- " <td>2020-03-17</td>\n",
- " <td>2020-03-19</td>\n",
- " <td>2020-03-22</td>\n",
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- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>Angola</td>\n",
- " <td>2020-03-20</td>\n",
- " <td>2020-03-29</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
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- " <td>89.0</td>\n",
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- " <tr>\n",
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- " <tr>\n",
- " <th>175</th>\n",
- " <td>Venezuela</td>\n",
- " <td>2020-03-14</td>\n",
- " <td>2020-03-27</td>\n",
- " <td>2020-03-15</td>\n",
- " <td>2020-03-21</td>\n",
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- " <td>87.0</td>\n",
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- " <td>75.0</td>\n",
- " <td>81.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>176</th>\n",
- " <td>Vietnam</td>\n",
- " <td>2020-01-23</td>\n",
- " <td>NaN</td>\n",
- " <td>2020-02-06</td>\n",
- " <td>2020-03-14</td>\n",
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- " <td>2.1</td>\n",
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- " <td>NaN</td>\n",
- " <td>23</td>\n",
- " <td>37.0</td>\n",
- " <td>74.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>177</th>\n",
- " <td>West Bank and Gaza</td>\n",
- " <td>2020-03-05</td>\n",
- " <td>2020-03-26</td>\n",
- " <td>2020-03-07</td>\n",
- " <td>2020-03-22</td>\n",
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- " </tr>\n",
- " <tr>\n",
- " <th>178</th>\n",
- " <td>Zambia</td>\n",
- " <td>2020-03-18</td>\n",
- " <td>2020-04-02</td>\n",
- " <td>2020-03-25</td>\n",
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- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>179</th>\n",
- " <td>Zimbabwe</td>\n",
- " <td>2020-03-20</td>\n",
- " <td>2020-03-23</td>\n",
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- " </tbody>\n",
- "</table>\n",
- "<p>180 rows × 70 columns</p>\n",
- "</div>"
- ],
- "text/plain": [
- " Country_Region first_1ConfirmedCases first_1Fatalities \\\n",
- "0 Afghanistan 2020-02-24 2020-03-22 \n",
- "1 Albania 2020-03-09 2020-03-11 \n",
- "2 Algeria 2020-02-25 2020-03-12 \n",
- "3 Andorra 2020-03-02 2020-03-22 \n",
- "4 Angola 2020-03-20 2020-03-29 \n",
- ".. ... ... ... \n",
- "175 Venezuela 2020-03-14 2020-03-27 \n",
- "176 Vietnam 2020-01-23 NaN \n",
- "177 West Bank and Gaza 2020-03-05 2020-03-26 \n",
- "178 Zambia 2020-03-18 2020-04-02 \n",
- "179 Zimbabwe 2020-03-20 2020-03-23 \n",
- "\n",
- " first_10ConfirmedCases first_50ConfirmedCases first_100ConfirmedCases \\\n",
- "0 2020-03-14 2020-03-24 2020-03-27 \n",
- "1 2020-03-10 2020-03-16 2020-03-23 \n",
- "2 2020-03-04 2020-03-16 2020-03-21 \n",
- "3 2020-03-17 2020-03-19 2020-03-22 \n",
- "4 NaN NaN NaN \n",
- ".. ... ... ... \n",
- "175 2020-03-15 2020-03-21 2020-03-26 \n",
- "176 2020-02-06 2020-03-14 2020-03-22 \n",
- "177 2020-03-07 2020-03-22 2020-03-29 \n",
- "178 2020-03-25 NaN NaN \n",
- "179 NaN NaN NaN \n",
- "\n",
- " cases_growth death_growth Cardiovascular diseases (%) Cancers (%) \\\n",
- "0 0.174179 0.083333 8.953006 3.372082 \n",
- "1 0.068699 0.130051 27.016784 13.225390 \n",
- "2 0.158588 0.228578 17.005476 6.481729 \n",
- "3 0.082774 0.345238 13.784688 17.879279 \n",
- "4 0.132143 0.000000 4.480300 3.011632 \n",
- ".. ... ... ... ... \n",
- "175 0.054474 0.361111 12.951494 9.719900 \n",
- "176 0.061529 NaN 16.842832 12.851948 \n",
- "177 0.101132 0.000000 NaN NaN \n",
- "178 0.104540 NaN 4.074966 3.864070 \n",
- "179 0.111310 0.000000 6.560883 4.998633 \n",
- "\n",
- " ... total fertility rate obesity - adult prevalence rate \\\n",
- "0 ... 4.82 5.5 \n",
- "1 ... 1.53 21.7 \n",
- "2 ... 2.59 27.4 \n",
- "3 ... 1.43 25.6 \n",
- "4 ... 5.96 8.2 \n",
- ".. ... ... ... \n",
- "175 ... 2.26 25.6 \n",
- "176 ... 1.77 2.1 \n",
- "177 ... NaN NaN \n",
- "178 ... 5.49 8.1 \n",
- "179 ... 3.93 15.5 \n",
- "\n",
- " school_shutdown_1case school_shutdown_10case school_shutdown_50case \\\n",
- "0 19.0 -0.0 -10.0 \n",
- "1 2.0 1.0 -5.0 \n",
- "2 16.0 8.0 -4.0 \n",
- "3 14.0 -1.0 -3.0 \n",
- "4 4.0 NaN NaN \n",
- ".. ... ... ... \n",
- "175 3.0 2.0 -4.0 \n",
- "176 60.0 46.0 9.0 \n",
- "177 NaN NaN NaN \n",
- "178 2.0 -5.0 NaN \n",
- "179 4.0 NaN NaN \n",
- "\n",
- " school_shutdown_1death FF_DayOfYear case1_DayOfYear case10_DayOfYear \\\n",
- "0 -8.0 82.0 55 74.0 \n",
- "1 -0.0 71.0 69 70.0 \n",
- "2 -0.0 72.0 56 64.0 \n",
- "3 -6.0 82.0 62 77.0 \n",
- "4 -5.0 89.0 80 NaN \n",
- ".. ... ... ... ... \n",
- "175 -10.0 87.0 74 75.0 \n",
- "176 NaN NaN 23 37.0 \n",
- "177 NaN 86.0 65 67.0 \n",
- "178 -13.0 93.0 78 85.0 \n",
- "179 1.0 83.0 80 NaN \n",
- "\n",
- " case50_DayOfYear \n",
- "0 84.0 \n",
- "1 76.0 \n",
- "2 76.0 \n",
- "3 79.0 \n",
- "4 NaN \n",
- ".. ... \n",
- "175 81.0 \n",
- "176 74.0 \n",
- "177 82.0 \n",
- "178 NaN \n",
- "179 NaN \n",
- "\n",
- "[180 rows x 70 columns]"
- ]
- },
- "execution_count": 2,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "country_health = pd.read_csv ('https://storage.googleapis.com/ml-service-repository-datastorage/Healthcare_system_finding_causes_and_patterns_for_common_diseases_data.csv')\n",
- "country_health"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 3,
- "metadata": {
- "pycharm": {
- "name": "#%%\n"
- }
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "<class 'pandas.core.frame.DataFrame'>\n",
- "RangeIndex: 180 entries, 0 to 179\n",
- "Data columns (total 70 columns):\n",
- " # Column Non-Null Count Dtype \n",
- "--- ------ -------------- ----- \n",
- " 0 Country_Region 180 non-null object \n",
- " 1 first_1ConfirmedCases 180 non-null object \n",
- " 2 first_1Fatalities 133 non-null object \n",
- " 3 first_10ConfirmedCases 153 non-null object \n",
- " 4 first_50ConfirmedCases 121 non-null object \n",
- " 5 first_100ConfirmedCases 112 non-null object \n",
- " 6 cases_growth 180 non-null float64\n",
- " 7 death_growth 130 non-null float64\n",
- " 8 Cardiovascular diseases (%) 165 non-null float64\n",
- " 9 Cancers (%) 165 non-null float64\n",
- " 10 Diabetes, blood, & endocrine diseases (%) 165 non-null float64\n",
- " 11 Respiratory diseases (%) 165 non-null float64\n",
- " 12 Liver disease (%) 165 non-null float64\n",
- " 13 Diarrhea & common infectious diseases (%) 165 non-null float64\n",
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- " 37 sugar_&_sweeteners 151 non-null float64\n",
- " 38 treenuts 151 non-null float64\n",
- " 39 vegetable_oils 151 non-null float64\n",
- " 40 vegetables 151 non-null float64\n",
- " 41 vegetal_products 151 non-null float64\n",
- " 42 hospital_beds_per10k 161 non-null float64\n",
- " 43 hospital_density 113 non-null float64\n",
- " 44 nbr_surgeons 129 non-null float64\n",
- " 45 nbr_obstetricians 135 non-null float64\n",
- " 46 nbr_anaesthesiologists 132 non-null float64\n",
- " 47 medical_doctors_per10k 161 non-null float64\n",
- " 48 school_closure 159 non-null object \n",
- " 49 bcg_coverage 139 non-null float64\n",
- " 50 bcg_year_delta 139 non-null float64\n",
- " 51 population 164 non-null float64\n",
- " 52 median age 164 non-null float64\n",
- " 53 population growth rate 164 non-null float64\n",
- " 54 birth rate 164 non-null float64\n",
- " 55 death rate 164 non-null float64\n",
- " 56 net migration rate 164 non-null float64\n",
- " 57 maternal mortality rate 159 non-null float64\n",
- " 58 infant mortality rate 164 non-null float64\n",
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- " 60 total fertility rate 164 non-null float64\n",
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- " 69 case50_DayOfYear 121 non-null float64\n",
- "dtypes: float64(62), int64(1), object(7)\n",
- "memory usage: 98.6+ KB\n"
- ]
- }
- ],
- "source": [
- "country_health.info()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 4,
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- " Country_Region first_1ConfirmedCases first_1Fatalities \\\n",
- "count 180 180 133 \n",
- "unique 180 51 39 \n",
- "top Afghanistan 2020-03-14 2020-03-21 \n",
- "freq 1 14 9 \n",
- "mean NaN NaN NaN \n",
- "std NaN NaN NaN \n",
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- "25% NaN NaN NaN \n",
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- "75% NaN NaN NaN \n",
- "max NaN NaN NaN \n",
- "\n",
- " first_10ConfirmedCases first_50ConfirmedCases first_100ConfirmedCases \\\n",
- "count 153 121 112 \n",
- "unique 45 40 37 \n",
- "top 2020-03-14 2020-03-16 2020-03-14 \n",
- "freq 8 10 10 \n",
- "mean NaN NaN NaN \n",
- "std NaN NaN NaN \n",
- "min NaN NaN NaN \n",
- "25% NaN NaN NaN \n",
- "50% NaN NaN NaN \n",
- "75% NaN NaN NaN \n",
- "max NaN NaN NaN \n",
- "\n",
- " cases_growth death_growth Cardiovascular diseases (%) Cancers (%) \\\n",
- "count 180.000000 130.000000 165.000000 165.000000 \n",
- "unique NaN NaN NaN NaN \n",
- "top NaN NaN NaN NaN \n",
- "freq NaN NaN NaN NaN \n",
- "mean 0.132892 0.203288 14.606034 10.290486 \n",
- "std 0.114934 0.220268 7.612798 5.659967 \n",
- "min 0.000000 0.000000 2.533060 1.905528 \n",
- "25% 0.067456 0.054575 9.275264 5.161070 \n",
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- "max 0.700000 1.731319 37.378055 21.826945 \n",
- "\n",
- " ... total fertility rate obesity - adult prevalence rate \\\n",
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- "top ... NaN NaN \n",
- "freq ... NaN NaN \n",
- "mean ... 2.507256 18.711656 \n",
- "std ... 1.234763 8.931097 \n",
- "min ... 0.870000 2.100000 \n",
- "25% ... 1.710000 9.200000 \n",
- "50% ... 1.960000 20.600000 \n",
- "75% ... 2.950000 25.150000 \n",
- "max ... 7.000000 37.900000 \n",
- "\n",
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- "count 159.000000 141.000000 111.000000 \n",
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- "max 60.000000 50.000000 30.000000 \n",
- "\n",
- " school_shutdown_1death FF_DayOfYear case1_DayOfYear \\\n",
- "count 119.000000 133.000000 180.000000 \n",
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- "top NaN NaN NaN \n",
- "freq NaN NaN NaN \n",
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- "75% 2.500000 86.000000 75.000000 \n",
- "max 43.000000 93.000000 91.000000 \n",
- "\n",
- " case10_DayOfYear case50_DayOfYear \n",
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- "\n",
- "[11 rows x 70 columns]"
- ]
- },
- "execution_count": 4,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "country_health.describe(include='all')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 5,
- "metadata": {
- "pycharm": {
- "name": "#%%\n"
- }
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "Country_Region 0\n",
- "first_1ConfirmedCases 0\n",
- "first_1Fatalities 47\n",
- "first_10ConfirmedCases 27\n",
- "first_50ConfirmedCases 59\n",
- " ..\n",
- "school_shutdown_1death 61\n",
- "FF_DayOfYear 47\n",
- "case1_DayOfYear 0\n",
- "case10_DayOfYear 27\n",
- "case50_DayOfYear 59\n",
- "Length: 70, dtype: int64"
- ]
- },
- "execution_count": 5,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "country_health.isnull().sum()"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "In the next step all determined duplicates from 'country_health' are completed in a for loop with the most frequent value for this respective column. The processed data set is passed in a new variable 'ch_wo_null'.\n",
- "\n",
- "This variable is checked again for duplicates and unwanted interfering factors."
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "# 3. Data Analysis\n",
- "\n",
- "The purpose of this chapter is to review, analyze, and prepare the data."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 6,
- "metadata": {
- "pycharm": {
- "name": "#%%\n"
- }
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "Country_Region 0\n",
- "first_1ConfirmedCases 0\n",
- "first_1Fatalities 0\n",
- "first_10ConfirmedCases 0\n",
- "first_50ConfirmedCases 0\n",
- " ..\n",
- "school_shutdown_1death 0\n",
- "FF_DayOfYear 0\n",
- "case1_DayOfYear 0\n",
- "case10_DayOfYear 0\n",
- "case50_DayOfYear 0\n",
- "Length: 70, dtype: int64"
- ]
- },
- "execution_count": 6,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "ch_wo_null = country_health\n",
- "\n",
- "for columnName in country_health.iteritems():\n",
- " ch_wo_null[columnName[0]] = country_health[columnName[0]].fillna(country_health[columnName[0]].mode().iloc[0])\n",
- " \n",
- "ch_wo_null.isnull().sum()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 7,
- "metadata": {
- "pycharm": {
- "name": "#%%\n"
- }
- },
- "outputs": [
- {
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- "<table border=\"1\" class=\"dataframe\">\n",
- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th></th>\n",
- " <th>Country_Region</th>\n",
- " <th>first_1ConfirmedCases</th>\n",
- " <th>first_1Fatalities</th>\n",
- " <th>first_10ConfirmedCases</th>\n",
- " <th>first_50ConfirmedCases</th>\n",
- " <th>first_100ConfirmedCases</th>\n",
- " <th>cases_growth</th>\n",
- " <th>death_growth</th>\n",
- " <th>Cardiovascular diseases (%)</th>\n",
- " <th>Cancers (%)</th>\n",
- " <th>...</th>\n",
- " <th>total fertility rate</th>\n",
- " <th>obesity - adult prevalence rate</th>\n",
- " <th>school_shutdown_1case</th>\n",
- " <th>school_shutdown_10case</th>\n",
- " <th>school_shutdown_50case</th>\n",
- " <th>school_shutdown_1death</th>\n",
- " <th>FF_DayOfYear</th>\n",
- " <th>case1_DayOfYear</th>\n",
- " <th>case10_DayOfYear</th>\n",
- " <th>case50_DayOfYear</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>0</th>\n",
- " <td>Afghanistan</td>\n",
- " <td>2020-02-24</td>\n",
- " <td>2020-03-22</td>\n",
- " <td>2020-03-14</td>\n",
- " <td>2020-03-24</td>\n",
- " <td>2020-03-27</td>\n",
- " <td>0.174179</td>\n",
- " <td>0.083333</td>\n",
- " <td>8.953006</td>\n",
- " <td>3.372082</td>\n",
- " <td>...</td>\n",
- " <td>4.82</td>\n",
- " <td>5.5</td>\n",
- " <td>19.0</td>\n",
- " <td>-0.0</td>\n",
- " <td>-10.0</td>\n",
- " <td>-8.0</td>\n",
- " <td>82.0</td>\n",
- " <td>55</td>\n",
- " <td>74.0</td>\n",
- " <td>84.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>1</th>\n",
- " <td>Albania</td>\n",
- " <td>2020-03-09</td>\n",
- " <td>2020-03-11</td>\n",
- " <td>2020-03-10</td>\n",
- " <td>2020-03-16</td>\n",
- " <td>2020-03-23</td>\n",
- " <td>0.068699</td>\n",
- " <td>0.130051</td>\n",
- " <td>27.016784</td>\n",
- " <td>13.225390</td>\n",
- " <td>...</td>\n",
- " <td>1.53</td>\n",
- " <td>21.7</td>\n",
- " <td>2.0</td>\n",
- " <td>1.0</td>\n",
- " <td>-5.0</td>\n",
- " <td>-0.0</td>\n",
- " <td>71.0</td>\n",
- " <td>69</td>\n",
- " <td>70.0</td>\n",
- " <td>76.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2</th>\n",
- " <td>Algeria</td>\n",
- " <td>2020-02-25</td>\n",
- " <td>2020-03-12</td>\n",
- " <td>2020-03-04</td>\n",
- " <td>2020-03-16</td>\n",
- " <td>2020-03-21</td>\n",
- " <td>0.158588</td>\n",
- " <td>0.228578</td>\n",
- " <td>17.005476</td>\n",
- " <td>6.481729</td>\n",
- " <td>...</td>\n",
- " <td>2.59</td>\n",
- " <td>27.4</td>\n",
- " <td>16.0</td>\n",
- " <td>8.0</td>\n",
- " <td>-4.0</td>\n",
- " <td>-0.0</td>\n",
- " <td>72.0</td>\n",
- " <td>56</td>\n",
- " <td>64.0</td>\n",
- " <td>76.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>Andorra</td>\n",
- " <td>2020-03-02</td>\n",
- " <td>2020-03-22</td>\n",
- " <td>2020-03-17</td>\n",
- " <td>2020-03-19</td>\n",
- " <td>2020-03-22</td>\n",
- " <td>0.082774</td>\n",
- " <td>0.345238</td>\n",
- " <td>13.784688</td>\n",
- " <td>17.879279</td>\n",
- " <td>...</td>\n",
- " <td>1.43</td>\n",
- " <td>25.6</td>\n",
- " <td>14.0</td>\n",
- " <td>-1.0</td>\n",
- " <td>-3.0</td>\n",
- " <td>-6.0</td>\n",
- " <td>82.0</td>\n",
- " <td>62</td>\n",
- " <td>77.0</td>\n",
- " <td>79.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>Angola</td>\n",
- " <td>2020-03-20</td>\n",
- " <td>2020-03-29</td>\n",
- " <td>2020-03-08</td>\n",
- " <td>2020-03-16</td>\n",
- " <td>2020-03-14</td>\n",
- " <td>0.132143</td>\n",
- " <td>0.000000</td>\n",
- " <td>4.480300</td>\n",
- " <td>3.011632</td>\n",
- " <td>...</td>\n",
- " <td>5.96</td>\n",
- " <td>8.2</td>\n",
- " <td>4.0</td>\n",
- " <td>-0.0</td>\n",
- " <td>-4.0</td>\n",
- " <td>-5.0</td>\n",
- " <td>89.0</td>\n",
- " <td>80</td>\n",
- " <td>68.0</td>\n",
- " <td>76.0</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",
- " <td>...</td>\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",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>175</th>\n",
- " <td>Venezuela</td>\n",
- " <td>2020-03-14</td>\n",
- " <td>2020-03-27</td>\n",
- " <td>2020-03-15</td>\n",
- " <td>2020-03-21</td>\n",
- " <td>2020-03-26</td>\n",
- " <td>0.054474</td>\n",
- " <td>0.361111</td>\n",
- " <td>12.951494</td>\n",
- " <td>9.719900</td>\n",
- " <td>...</td>\n",
- " <td>2.26</td>\n",
- " <td>25.6</td>\n",
- " <td>3.0</td>\n",
- " <td>2.0</td>\n",
- " <td>-4.0</td>\n",
- " <td>-10.0</td>\n",
- " <td>87.0</td>\n",
- " <td>74</td>\n",
- " <td>75.0</td>\n",
- " <td>81.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>176</th>\n",
- " <td>Vietnam</td>\n",
- " <td>2020-01-23</td>\n",
- " <td>2020-03-11</td>\n",
- " <td>2020-02-06</td>\n",
- " <td>2020-03-14</td>\n",
- " <td>2020-03-22</td>\n",
- " <td>0.061529</td>\n",
- " <td>0.000000</td>\n",
- " <td>16.842832</td>\n",
- " <td>12.851948</td>\n",
- " <td>...</td>\n",
- " <td>1.77</td>\n",
- " <td>2.1</td>\n",
- " <td>60.0</td>\n",
- " <td>46.0</td>\n",
- " <td>9.0</td>\n",
- " <td>-11.0</td>\n",
- " <td>71.0</td>\n",
- " <td>23</td>\n",
- " <td>37.0</td>\n",
- " <td>74.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>177</th>\n",
- " <td>West Bank and Gaza</td>\n",
- " <td>2020-03-05</td>\n",
- " <td>2020-03-26</td>\n",
- " <td>2020-03-07</td>\n",
- " <td>2020-03-22</td>\n",
- " <td>2020-03-29</td>\n",
- " <td>0.101132</td>\n",
- " <td>0.000000</td>\n",
- " <td>2.533060</td>\n",
- " <td>1.905528</td>\n",
- " <td>...</td>\n",
- " <td>1.77</td>\n",
- " <td>20.2</td>\n",
- " <td>2.0</td>\n",
- " <td>-0.0</td>\n",
- " <td>-4.0</td>\n",
- " <td>-11.0</td>\n",
- " <td>86.0</td>\n",
- " <td>65</td>\n",
- " <td>67.0</td>\n",
- " <td>82.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>178</th>\n",
- " <td>Zambia</td>\n",
- " <td>2020-03-18</td>\n",
- " <td>2020-04-02</td>\n",
- " <td>2020-03-25</td>\n",
- " <td>2020-03-16</td>\n",
- " <td>2020-03-14</td>\n",
- " <td>0.104540</td>\n",
- " <td>0.000000</td>\n",
- " <td>4.074966</td>\n",
- " <td>3.864070</td>\n",
- " <td>...</td>\n",
- " <td>5.49</td>\n",
- " <td>8.1</td>\n",
- " <td>2.0</td>\n",
- " <td>-5.0</td>\n",
- " <td>-4.0</td>\n",
- " <td>-13.0</td>\n",
- " <td>93.0</td>\n",
- " <td>78</td>\n",
- " <td>85.0</td>\n",
- " <td>76.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>179</th>\n",
- " <td>Zimbabwe</td>\n",
- " <td>2020-03-20</td>\n",
- " <td>2020-03-23</td>\n",
- " <td>2020-03-08</td>\n",
- " <td>2020-03-16</td>\n",
- " <td>2020-03-14</td>\n",
- " <td>0.111310</td>\n",
- " <td>0.000000</td>\n",
- " <td>6.560883</td>\n",
- " <td>4.998633</td>\n",
- " <td>...</td>\n",
- " <td>3.93</td>\n",
- " <td>15.5</td>\n",
- " <td>4.0</td>\n",
- " <td>-0.0</td>\n",
- " <td>-4.0</td>\n",
- " <td>1.0</td>\n",
- " <td>83.0</td>\n",
- " <td>80</td>\n",
- " <td>68.0</td>\n",
- " <td>76.0</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "<p>180 rows × 70 columns</p>\n",
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- " Country_Region first_1ConfirmedCases first_1Fatalities \\\n",
- "0 Afghanistan 2020-02-24 2020-03-22 \n",
- "1 Albania 2020-03-09 2020-03-11 \n",
- "2 Algeria 2020-02-25 2020-03-12 \n",
- "3 Andorra 2020-03-02 2020-03-22 \n",
- "4 Angola 2020-03-20 2020-03-29 \n",
- ".. ... ... ... \n",
- "175 Venezuela 2020-03-14 2020-03-27 \n",
- "176 Vietnam 2020-01-23 2020-03-11 \n",
- "177 West Bank and Gaza 2020-03-05 2020-03-26 \n",
- "178 Zambia 2020-03-18 2020-04-02 \n",
- "179 Zimbabwe 2020-03-20 2020-03-23 \n",
- "\n",
- " first_10ConfirmedCases first_50ConfirmedCases first_100ConfirmedCases \\\n",
- "0 2020-03-14 2020-03-24 2020-03-27 \n",
- "1 2020-03-10 2020-03-16 2020-03-23 \n",
- "2 2020-03-04 2020-03-16 2020-03-21 \n",
- "3 2020-03-17 2020-03-19 2020-03-22 \n",
- "4 2020-03-08 2020-03-16 2020-03-14 \n",
- ".. ... ... ... \n",
- "175 2020-03-15 2020-03-21 2020-03-26 \n",
- "176 2020-02-06 2020-03-14 2020-03-22 \n",
- "177 2020-03-07 2020-03-22 2020-03-29 \n",
- "178 2020-03-25 2020-03-16 2020-03-14 \n",
- "179 2020-03-08 2020-03-16 2020-03-14 \n",
- "\n",
- " cases_growth death_growth Cardiovascular diseases (%) Cancers (%) \\\n",
- "0 0.174179 0.083333 8.953006 3.372082 \n",
- "1 0.068699 0.130051 27.016784 13.225390 \n",
- "2 0.158588 0.228578 17.005476 6.481729 \n",
- "3 0.082774 0.345238 13.784688 17.879279 \n",
- "4 0.132143 0.000000 4.480300 3.011632 \n",
- ".. ... ... ... ... \n",
- "175 0.054474 0.361111 12.951494 9.719900 \n",
- "176 0.061529 0.000000 16.842832 12.851948 \n",
- "177 0.101132 0.000000 2.533060 1.905528 \n",
- "178 0.104540 0.000000 4.074966 3.864070 \n",
- "179 0.111310 0.000000 6.560883 4.998633 \n",
- "\n",
- " ... total fertility rate obesity - adult prevalence rate \\\n",
- "0 ... 4.82 5.5 \n",
- "1 ... 1.53 21.7 \n",
- "2 ... 2.59 27.4 \n",
- "3 ... 1.43 25.6 \n",
- "4 ... 5.96 8.2 \n",
- ".. ... ... ... \n",
- "175 ... 2.26 25.6 \n",
- "176 ... 1.77 2.1 \n",
- "177 ... 1.77 20.2 \n",
- "178 ... 5.49 8.1 \n",
- "179 ... 3.93 15.5 \n",
- "\n",
- " school_shutdown_1case school_shutdown_10case school_shutdown_50case \\\n",
- "0 19.0 -0.0 -10.0 \n",
- "1 2.0 1.0 -5.0 \n",
- "2 16.0 8.0 -4.0 \n",
- "3 14.0 -1.0 -3.0 \n",
- "4 4.0 -0.0 -4.0 \n",
- ".. ... ... ... \n",
- "175 3.0 2.0 -4.0 \n",
- "176 60.0 46.0 9.0 \n",
- "177 2.0 -0.0 -4.0 \n",
- "178 2.0 -5.0 -4.0 \n",
- "179 4.0 -0.0 -4.0 \n",
- "\n",
- " school_shutdown_1death FF_DayOfYear case1_DayOfYear case10_DayOfYear \\\n",
- "0 -8.0 82.0 55 74.0 \n",
- "1 -0.0 71.0 69 70.0 \n",
- "2 -0.0 72.0 56 64.0 \n",
- "3 -6.0 82.0 62 77.0 \n",
- "4 -5.0 89.0 80 68.0 \n",
- ".. ... ... ... ... \n",
- "175 -10.0 87.0 74 75.0 \n",
- "176 -11.0 71.0 23 37.0 \n",
- "177 -11.0 86.0 65 67.0 \n",
- "178 -13.0 93.0 78 85.0 \n",
- "179 1.0 83.0 80 68.0 \n",
- "\n",
- " case50_DayOfYear \n",
- "0 84.0 \n",
- "1 76.0 \n",
- "2 76.0 \n",
- "3 79.0 \n",
- "4 76.0 \n",
- ".. ... \n",
- "175 81.0 \n",
- "176 74.0 \n",
- "177 82.0 \n",
- "178 76.0 \n",
- "179 76.0 \n",
- "\n",
- "[180 rows x 70 columns]"
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- " <td>...</td>\n",
- " <td>180.000000</td>\n",
- " <td>180.000000</td>\n",
- " <td>180.000000</td>\n",
- " <td>180.000000</td>\n",
- " <td>180.000000</td>\n",
- " <td>180.000000</td>\n",
- " <td>180.000000</td>\n",
- " <td>180.000000</td>\n",
- " <td>180.000000</td>\n",
- " <td>180.000000</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>unique</th>\n",
- " <td>180</td>\n",
- " <td>51</td>\n",
- " <td>39</td>\n",
- " <td>45</td>\n",
- " <td>40</td>\n",
- " <td>37</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>Afghanistan</td>\n",
- " <td>2020-03-14</td>\n",
- " <td>2020-03-11</td>\n",
- " <td>2020-03-08</td>\n",
- " <td>2020-03-16</td>\n",
- " <td>2020-03-14</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>1</td>\n",
- " <td>14</td>\n",
- " <td>56</td>\n",
- " <td>35</td>\n",
- " <td>69</td>\n",
- " <td>78</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>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>0.132892</td>\n",
- " <td>0.146819</td>\n",
- " <td>13.599953</td>\n",
- " <td>9.591740</td>\n",
- " <td>...</td>\n",
- " <td>2.441722</td>\n",
- " <td>18.852222</td>\n",
- " <td>11.533333</td>\n",
- " <td>2.644444</td>\n",
- " <td>-1.805556</td>\n",
- " <td>-5.266667</td>\n",
- " <td>75.638889</td>\n",
- " <td>63.233333</td>\n",
- " <td>70.577778</td>\n",
- " <td>74.955556</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>std</th>\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>0.114934</td>\n",
- " <td>0.208093</td>\n",
- " <td>8.018388</td>\n",
- " <td>5.895034</td>\n",
- " <td>...</td>\n",
- " <td>1.196923</td>\n",
- " <td>8.507620</td>\n",
- " <td>15.616350</td>\n",
- " <td>11.231252</td>\n",
- " <td>7.178566</td>\n",
- " <td>9.593177</td>\n",
- " <td>10.740600</td>\n",
- " <td>17.353408</td>\n",
- " <td>13.352528</td>\n",
- " <td>8.905978</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>min</th>\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>0.000000</td>\n",
- " <td>0.000000</td>\n",
- " <td>2.533060</td>\n",
- " <td>1.905528</td>\n",
- " <td>...</td>\n",
- " <td>0.870000</td>\n",
- " <td>2.100000</td>\n",
- " <td>-20.000000</td>\n",
- " <td>-31.000000</td>\n",
- " <td>-20.000000</td>\n",
- " <td>-24.000000</td>\n",
- " <td>22.000000</td>\n",
- " <td>22.000000</td>\n",
- " <td>22.000000</td>\n",
- " <td>22.000000</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>25%</th>\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>0.067456</td>\n",
- " <td>0.000000</td>\n",
- " <td>6.783483</td>\n",
- " <td>4.368508</td>\n",
- " <td>...</td>\n",
- " <td>1.730000</td>\n",
- " <td>10.225000</td>\n",
- " <td>2.000000</td>\n",
- " <td>-2.000000</td>\n",
- " <td>-4.000000</td>\n",
- " <td>-11.000000</td>\n",
- " <td>71.000000</td>\n",
- " <td>57.000000</td>\n",
- " <td>66.000000</td>\n",
- " <td>73.000000</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>50%</th>\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>0.104198</td>\n",
- " <td>0.112478</td>\n",
- " <td>13.189690</td>\n",
- " <td>8.161231</td>\n",
- " <td>...</td>\n",
- " <td>1.905000</td>\n",
- " <td>20.200000</td>\n",
- " <td>6.000000</td>\n",
- " <td>-0.000000</td>\n",
- " <td>-4.000000</td>\n",
- " <td>-10.000000</td>\n",
- " <td>74.000000</td>\n",
- " <td>66.000000</td>\n",
- " <td>71.000000</td>\n",
- " <td>76.000000</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>75%</th>\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>0.159076</td>\n",
- " <td>0.236524</td>\n",
- " <td>17.268427</td>\n",
- " <td>14.887029</td>\n",
- " <td>...</td>\n",
- " <td>2.730000</td>\n",
- " <td>24.600000</td>\n",
- " <td>15.000000</td>\n",
- " <td>6.000000</td>\n",
- " <td>0.000000</td>\n",
- " <td>0.000000</td>\n",
- " <td>82.250000</td>\n",
- " <td>75.000000</td>\n",
- " <td>79.000000</td>\n",
- " <td>78.250000</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>max</th>\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>0.700000</td>\n",
- " <td>1.731319</td>\n",
- " <td>37.378055</td>\n",
- " <td>21.826945</td>\n",
- " <td>...</td>\n",
- " <td>7.000000</td>\n",
- " <td>37.900000</td>\n",
- " <td>60.000000</td>\n",
- " <td>50.000000</td>\n",
- " <td>30.000000</td>\n",
- " <td>43.000000</td>\n",
- " <td>93.000000</td>\n",
- " <td>91.000000</td>\n",
- " <td>93.000000</td>\n",
- " <td>93.000000</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "<p>11 rows × 70 columns</p>\n",
- "</div>"
- ],
- "text/plain": [
- " Country_Region first_1ConfirmedCases first_1Fatalities \\\n",
- "count 180 180 180 \n",
- "unique 180 51 39 \n",
- "top Afghanistan 2020-03-14 2020-03-11 \n",
- "freq 1 14 56 \n",
- "mean NaN NaN NaN \n",
- "std NaN NaN NaN \n",
- "min NaN NaN NaN \n",
- "25% NaN NaN NaN \n",
- "50% NaN NaN NaN \n",
- "75% NaN NaN NaN \n",
- "max NaN NaN NaN \n",
- "\n",
- " first_10ConfirmedCases first_50ConfirmedCases first_100ConfirmedCases \\\n",
- "count 180 180 180 \n",
- "unique 45 40 37 \n",
- "top 2020-03-08 2020-03-16 2020-03-14 \n",
- "freq 35 69 78 \n",
- "mean NaN NaN NaN \n",
- "std NaN NaN NaN \n",
- "min NaN NaN NaN \n",
- "25% NaN NaN NaN \n",
- "50% NaN NaN NaN \n",
- "75% NaN NaN NaN \n",
- "max NaN NaN NaN \n",
- "\n",
- " cases_growth death_growth Cardiovascular diseases (%) Cancers (%) \\\n",
- "count 180.000000 180.000000 180.000000 180.000000 \n",
- "unique NaN NaN NaN NaN \n",
- "top NaN NaN NaN NaN \n",
- "freq NaN NaN NaN NaN \n",
- "mean 0.132892 0.146819 13.599953 9.591740 \n",
- "std 0.114934 0.208093 8.018388 5.895034 \n",
- "min 0.000000 0.000000 2.533060 1.905528 \n",
- "25% 0.067456 0.000000 6.783483 4.368508 \n",
- "50% 0.104198 0.112478 13.189690 8.161231 \n",
- "75% 0.159076 0.236524 17.268427 14.887029 \n",
- "max 0.700000 1.731319 37.378055 21.826945 \n",
- "\n",
- " ... total fertility rate obesity - adult prevalence rate \\\n",
- "count ... 180.000000 180.000000 \n",
- "unique ... NaN NaN \n",
- "top ... NaN NaN \n",
- "freq ... NaN NaN \n",
- "mean ... 2.441722 18.852222 \n",
- "std ... 1.196923 8.507620 \n",
- "min ... 0.870000 2.100000 \n",
- "25% ... 1.730000 10.225000 \n",
- "50% ... 1.905000 20.200000 \n",
- "75% ... 2.730000 24.600000 \n",
- "max ... 7.000000 37.900000 \n",
- "\n",
- " school_shutdown_1case school_shutdown_10case school_shutdown_50case \\\n",
- "count 180.000000 180.000000 180.000000 \n",
- "unique NaN NaN NaN \n",
- "top NaN NaN NaN \n",
- "freq NaN NaN NaN \n",
- "mean 11.533333 2.644444 -1.805556 \n",
- "std 15.616350 11.231252 7.178566 \n",
- "min -20.000000 -31.000000 -20.000000 \n",
- "25% 2.000000 -2.000000 -4.000000 \n",
- "50% 6.000000 -0.000000 -4.000000 \n",
- "75% 15.000000 6.000000 0.000000 \n",
- "max 60.000000 50.000000 30.000000 \n",
- "\n",
- " school_shutdown_1death FF_DayOfYear case1_DayOfYear \\\n",
- "count 180.000000 180.000000 180.000000 \n",
- "unique NaN NaN NaN \n",
- "top NaN NaN NaN \n",
- "freq NaN NaN NaN \n",
- "mean -5.266667 75.638889 63.233333 \n",
- "std 9.593177 10.740600 17.353408 \n",
- "min -24.000000 22.000000 22.000000 \n",
- "25% -11.000000 71.000000 57.000000 \n",
- "50% -10.000000 74.000000 66.000000 \n",
- "75% 0.000000 82.250000 75.000000 \n",
- "max 43.000000 93.000000 91.000000 \n",
- "\n",
- " case10_DayOfYear case50_DayOfYear \n",
- "count 180.000000 180.000000 \n",
- "unique NaN NaN \n",
- "top NaN NaN \n",
- "freq NaN NaN \n",
- "mean 70.577778 74.955556 \n",
- "std 13.352528 8.905978 \n",
- "min 22.000000 22.000000 \n",
- "25% 66.000000 73.000000 \n",
- "50% 71.000000 76.000000 \n",
- "75% 79.000000 78.250000 \n",
- "max 93.000000 93.000000 \n",
- "\n",
- "[11 rows x 70 columns]"
- ]
- },
- "execution_count": 9,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "ch_wo_null.describe(include='all')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 10,
- "metadata": {
- "pycharm": {
- "name": "#%%\n"
- }
- },
- "outputs": [
- {
- "data": {
- "image/png": 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",
- "text/plain": [
- "<Figure size 432x288 with 1 Axes>"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- }
- ],
- "source": [
- "plt.scatter(ch_wo_null['cases_growth'],ch_wo_null['alcoholic_beverages'])\n",
- "plt.xlabel('x-Achsen-Titel')\n",
- "plt.xlabel('y-Achsen-Titel')\n",
- "plt.show()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 11,
- "metadata": {
- "pycharm": {
- "name": "#%%\n"
- }
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "<AxesSubplot:xlabel='cases_growth', ylabel='alcoholic_beverages'>"
- ]
- },
- "execution_count": 11,
- "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=ch_wo_null, x=\"cases_growth\", y=\"alcoholic_beverages\", hue=\"death_growth\")"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 12,
- "metadata": {
- "pycharm": {
- "name": "#%%\n"
- }
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "<AxesSubplot:xlabel='death_growth', ylabel='Density'>"
- ]
- },
- "execution_count": 12,
- "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(ch_wo_null['death_growth'])\n",
- "#sns.distplot(ch_wo_null['cases_growth'])\n",
- "#sns.distplot(ch_wo_null['alcoholic_beverages'])\n",
- "#sns.distplot(ch_wo_null['Share of deaths from smoking (%)'])\n",
- "#sns.distplot(ch_wo_null['Cancers (%)'])\n",
- "#sns.distplot(ch_wo_null['population growth rate'])\n",
- "#sns.distplot(ch_wo_null['pneumonia-death-rates'])"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 13,
- "metadata": {
- "pycharm": {
- "name": "#%%\n"
- }
- },
- "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>cases_growth</th>\n",
- " <th>death_growth</th>\n",
- " <th>Cardiovascular diseases (%)</th>\n",
- " <th>Cancers (%)</th>\n",
- " <th>Diabetes, blood, & endocrine diseases (%)</th>\n",
- " <th>Respiratory diseases (%)</th>\n",
- " <th>Liver disease (%)</th>\n",
- " <th>Diarrhea & common infectious diseases (%)</th>\n",
- " <th>Musculoskeletal disorders (%)</th>\n",
- " <th>HIV/AIDS and tuberculosis (%)</th>\n",
- " <th>...</th>\n",
- " <th>total fertility rate</th>\n",
- " <th>obesity - adult prevalence rate</th>\n",
- " <th>school_shutdown_1case</th>\n",
- " <th>school_shutdown_10case</th>\n",
- " <th>school_shutdown_50case</th>\n",
- " <th>school_shutdown_1death</th>\n",
- " <th>FF_DayOfYear</th>\n",
- " <th>case1_DayOfYear</th>\n",
- " <th>case10_DayOfYear</th>\n",
- " <th>case50_DayOfYear</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>0</th>\n",
- " <td>0.174179</td>\n",
- " <td>0.083333</td>\n",
- " <td>8.953006</td>\n",
- " <td>3.372082</td>\n",
- " <td>5.273280</td>\n",
- " <td>1.963170</td>\n",
- " <td>0.498116</td>\n",
- " <td>15.825522</td>\n",
- " <td>1.962412</td>\n",
- " <td>2.938014</td>\n",
- " <td>...</td>\n",
- " <td>4.82</td>\n",
- " <td>5.5</td>\n",
- " <td>19.0</td>\n",
- " <td>-0.0</td>\n",
- " <td>-10.0</td>\n",
- " <td>-8.0</td>\n",
- " <td>82.0</td>\n",
- " <td>55</td>\n",
- " <td>74.0</td>\n",
- " <td>84.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>1</th>\n",
- " <td>0.068699</td>\n",
- " <td>0.130051</td>\n",
- " <td>27.016784</td>\n",
- " <td>13.225390</td>\n",
- " <td>4.571592</td>\n",
- " <td>3.251425</td>\n",
- " <td>1.122277</td>\n",
- " <td>2.614149</td>\n",
- " <td>8.372171</td>\n",
- " <td>0.051632</td>\n",
- " <td>...</td>\n",
- " <td>1.53</td>\n",
- " <td>21.7</td>\n",
- " <td>2.0</td>\n",
- " <td>1.0</td>\n",
- " <td>-5.0</td>\n",
- " <td>-0.0</td>\n",
- " <td>71.0</td>\n",
- " <td>69</td>\n",
- " <td>70.0</td>\n",
- " <td>76.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2</th>\n",
- " <td>0.158588</td>\n",
- " <td>0.228578</td>\n",
- " <td>17.005476</td>\n",
- " <td>6.481729</td>\n",
- " <td>8.614000</td>\n",
- " <td>3.475417</td>\n",
- " <td>0.926308</td>\n",
- " <td>3.809944</td>\n",
- " <td>8.204561</td>\n",
- " <td>0.390351</td>\n",
- " <td>...</td>\n",
- " <td>2.59</td>\n",
- " <td>27.4</td>\n",
- " <td>16.0</td>\n",
- " <td>8.0</td>\n",
- " <td>-4.0</td>\n",
- " <td>-0.0</td>\n",
- " <td>72.0</td>\n",
- " <td>56</td>\n",
- " <td>64.0</td>\n",
- " <td>76.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>0.082774</td>\n",
- " <td>0.345238</td>\n",
- " <td>13.784688</td>\n",
- " <td>17.879279</td>\n",
- " <td>4.381889</td>\n",
- " <td>4.771667</td>\n",
- " <td>1.561389</td>\n",
- " <td>2.507505</td>\n",
- " <td>13.608032</td>\n",
- " <td>0.334845</td>\n",
- " <td>...</td>\n",
- " <td>1.43</td>\n",
- " <td>25.6</td>\n",
- " <td>14.0</td>\n",
- " <td>-1.0</td>\n",
- " <td>-3.0</td>\n",
- " <td>-6.0</td>\n",
- " <td>82.0</td>\n",
- " <td>62</td>\n",
- " <td>77.0</td>\n",
- " <td>79.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>0.132143</td>\n",
- " <td>0.000000</td>\n",
- " <td>4.480300</td>\n",
- " <td>3.011632</td>\n",
- " <td>2.733065</td>\n",
- " <td>1.711981</td>\n",
- " <td>1.439695</td>\n",
- " <td>20.527999</td>\n",
- " <td>1.839105</td>\n",
- " <td>9.101147</td>\n",
- " <td>...</td>\n",
- " <td>5.96</td>\n",
- " <td>8.2</td>\n",
- " <td>4.0</td>\n",
- " <td>-0.0</td>\n",
- " <td>-4.0</td>\n",
- " <td>-5.0</td>\n",
- " <td>89.0</td>\n",
- " <td>80</td>\n",
- " <td>68.0</td>\n",
- " <td>76.0</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",
- " <td>...</td>\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",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>175</th>\n",
- " <td>0.054474</td>\n",
- " <td>0.361111</td>\n",
- " <td>12.951494</td>\n",
- " <td>9.719900</td>\n",
- " <td>8.146976</td>\n",
- " <td>2.856847</td>\n",
- " <td>1.400547</td>\n",
- " <td>4.729301</td>\n",
- " <td>4.950649</td>\n",
- " <td>1.615396</td>\n",
- " <td>...</td>\n",
- " <td>2.26</td>\n",
- " <td>25.6</td>\n",
- " <td>3.0</td>\n",
- " <td>2.0</td>\n",
- " <td>-4.0</td>\n",
- " <td>-10.0</td>\n",
- " <td>87.0</td>\n",
- " <td>74</td>\n",
- " <td>75.0</td>\n",
- " <td>81.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>176</th>\n",
- " <td>0.061529</td>\n",
- " <td>0.000000</td>\n",
- " <td>16.842832</td>\n",
- " <td>12.851948</td>\n",
- " <td>6.516006</td>\n",
- " <td>4.246777</td>\n",
- " <td>2.665962</td>\n",
- " <td>4.698076</td>\n",
- " <td>6.828526</td>\n",
- " <td>3.366020</td>\n",
- " <td>...</td>\n",
- " <td>1.77</td>\n",
- " <td>2.1</td>\n",
- " <td>60.0</td>\n",
- " <td>46.0</td>\n",
- " <td>9.0</td>\n",
- " <td>-11.0</td>\n",
- " <td>71.0</td>\n",
- " <td>23</td>\n",
- " <td>37.0</td>\n",
- " <td>74.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>177</th>\n",
- " <td>0.101132</td>\n",
- " <td>0.000000</td>\n",
- " <td>2.533060</td>\n",
- " <td>1.905528</td>\n",
- " <td>2.154277</td>\n",
- " <td>0.998996</td>\n",
- " <td>0.430860</td>\n",
- " <td>1.136224</td>\n",
- " <td>1.145221</td>\n",
- " <td>0.051632</td>\n",
- " <td>...</td>\n",
- " <td>1.77</td>\n",
- " <td>20.2</td>\n",
- " <td>2.0</td>\n",
- " <td>-0.0</td>\n",
- " <td>-4.0</td>\n",
- " <td>-11.0</td>\n",
- " <td>86.0</td>\n",
- " <td>65</td>\n",
- " <td>67.0</td>\n",
- " <td>82.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>178</th>\n",
- " <td>0.104540</td>\n",
- " <td>0.000000</td>\n",
- " <td>4.074966</td>\n",
- " <td>3.864070</td>\n",
- " <td>2.823180</td>\n",
- " <td>1.453882</td>\n",
- " <td>1.369252</td>\n",
- " <td>19.027425</td>\n",
- " <td>1.631859</td>\n",
- " <td>22.644122</td>\n",
- " <td>...</td>\n",
- " <td>5.49</td>\n",
- " <td>8.1</td>\n",
- " <td>2.0</td>\n",
- " <td>-5.0</td>\n",
- " <td>-4.0</td>\n",
- " <td>-13.0</td>\n",
- " <td>93.0</td>\n",
- " <td>78</td>\n",
- " <td>85.0</td>\n",
- " <td>76.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>179</th>\n",
- " <td>0.111310</td>\n",
- " <td>0.000000</td>\n",
- " <td>6.560883</td>\n",
- " <td>4.998633</td>\n",
- " <td>3.622970</td>\n",
- " <td>2.377705</td>\n",
- " <td>0.681232</td>\n",
- " <td>17.107359</td>\n",
- " <td>1.907359</td>\n",
- " <td>25.493061</td>\n",
- " <td>...</td>\n",
- " <td>3.93</td>\n",
- " <td>15.5</td>\n",
- " <td>4.0</td>\n",
- " <td>-0.0</td>\n",
- " <td>-4.0</td>\n",
- " <td>1.0</td>\n",
- " <td>83.0</td>\n",
- " <td>80</td>\n",
- " <td>68.0</td>\n",
- " <td>76.0</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "<p>180 rows × 63 columns</p>\n",
- "</div>"
- ],
- "text/plain": [
- " cases_growth death_growth Cardiovascular diseases (%) Cancers (%) \\\n",
- "0 0.174179 0.083333 8.953006 3.372082 \n",
- "1 0.068699 0.130051 27.016784 13.225390 \n",
- "2 0.158588 0.228578 17.005476 6.481729 \n",
- "3 0.082774 0.345238 13.784688 17.879279 \n",
- "4 0.132143 0.000000 4.480300 3.011632 \n",
- ".. ... ... ... ... \n",
- "175 0.054474 0.361111 12.951494 9.719900 \n",
- "176 0.061529 0.000000 16.842832 12.851948 \n",
- "177 0.101132 0.000000 2.533060 1.905528 \n",
- "178 0.104540 0.000000 4.074966 3.864070 \n",
- "179 0.111310 0.000000 6.560883 4.998633 \n",
- "\n",
- " Diabetes, blood, & endocrine diseases (%) Respiratory diseases (%) \\\n",
- "0 5.273280 1.963170 \n",
- "1 4.571592 3.251425 \n",
- "2 8.614000 3.475417 \n",
- "3 4.381889 4.771667 \n",
- "4 2.733065 1.711981 \n",
- ".. ... ... \n",
- "175 8.146976 2.856847 \n",
- "176 6.516006 4.246777 \n",
- "177 2.154277 0.998996 \n",
- "178 2.823180 1.453882 \n",
- "179 3.622970 2.377705 \n",
- "\n",
- " Liver disease (%) Diarrhea & common infectious diseases (%) \\\n",
- "0 0.498116 15.825522 \n",
- "1 1.122277 2.614149 \n",
- "2 0.926308 3.809944 \n",
- "3 1.561389 2.507505 \n",
- "4 1.439695 20.527999 \n",
- ".. ... ... \n",
- "175 1.400547 4.729301 \n",
- "176 2.665962 4.698076 \n",
- "177 0.430860 1.136224 \n",
- "178 1.369252 19.027425 \n",
- "179 0.681232 17.107359 \n",
- "\n",
- " Musculoskeletal disorders (%) HIV/AIDS and tuberculosis (%) ... \\\n",
- "0 1.962412 2.938014 ... \n",
- "1 8.372171 0.051632 ... \n",
- "2 8.204561 0.390351 ... \n",
- "3 13.608032 0.334845 ... \n",
- "4 1.839105 9.101147 ... \n",
- ".. ... ... ... \n",
- "175 4.950649 1.615396 ... \n",
- "176 6.828526 3.366020 ... \n",
- "177 1.145221 0.051632 ... \n",
- "178 1.631859 22.644122 ... \n",
- "179 1.907359 25.493061 ... \n",
- "\n",
- " total fertility rate obesity - adult prevalence rate \\\n",
- "0 4.82 5.5 \n",
- "1 1.53 21.7 \n",
- "2 2.59 27.4 \n",
- "3 1.43 25.6 \n",
- "4 5.96 8.2 \n",
- ".. ... ... \n",
- "175 2.26 25.6 \n",
- "176 1.77 2.1 \n",
- "177 1.77 20.2 \n",
- "178 5.49 8.1 \n",
- "179 3.93 15.5 \n",
- "\n",
- " school_shutdown_1case school_shutdown_10case school_shutdown_50case \\\n",
- "0 19.0 -0.0 -10.0 \n",
- "1 2.0 1.0 -5.0 \n",
- "2 16.0 8.0 -4.0 \n",
- "3 14.0 -1.0 -3.0 \n",
- "4 4.0 -0.0 -4.0 \n",
- ".. ... ... ... \n",
- "175 3.0 2.0 -4.0 \n",
- "176 60.0 46.0 9.0 \n",
- "177 2.0 -0.0 -4.0 \n",
- "178 2.0 -5.0 -4.0 \n",
- "179 4.0 -0.0 -4.0 \n",
- "\n",
- " school_shutdown_1death FF_DayOfYear case1_DayOfYear case10_DayOfYear \\\n",
- "0 -8.0 82.0 55 74.0 \n",
- "1 -0.0 71.0 69 70.0 \n",
- "2 -0.0 72.0 56 64.0 \n",
- "3 -6.0 82.0 62 77.0 \n",
- "4 -5.0 89.0 80 68.0 \n",
- ".. ... ... ... ... \n",
- "175 -10.0 87.0 74 75.0 \n",
- "176 -11.0 71.0 23 37.0 \n",
- "177 -11.0 86.0 65 67.0 \n",
- "178 -13.0 93.0 78 85.0 \n",
- "179 1.0 83.0 80 68.0 \n",
- "\n",
- " case50_DayOfYear \n",
- "0 84.0 \n",
- "1 76.0 \n",
- "2 76.0 \n",
- "3 79.0 \n",
- "4 76.0 \n",
- ".. ... \n",
- "175 81.0 \n",
- "176 74.0 \n",
- "177 82.0 \n",
- "178 76.0 \n",
- "179 76.0 \n",
- "\n",
- "[180 rows x 63 columns]"
- ]
- },
- "execution_count": 13,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "numeric_data = ch_wo_null.select_dtypes(include=[np.number])\n",
- "numeric_data"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "## 3.1 Explorative data analysis\n",
- "In this chapter, initial analyses and visualizations will be made."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 14,
- "metadata": {
- "pycharm": {
- "name": "#%%\n"
- }
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "<AxesSubplot:>"
- ]
- },
- "execution_count": 14,
- "metadata": {},
- "output_type": "execute_result"
- },
- {
- "data": {
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yz5Zs1CCDLjmt/G+bjdepjlIAYIGmTZ2SG3pdkKNOvSSX9r0nzVu1yV03z9uPt7C414Y+kycfvisnn98nF/e+I0WFc/L4A7dn5ozp6XXJKdljv6NyUa9B2fewU3L1ZaenqKiwqssEgHLTpk7Jjb3Pz5GnXJpLrrk3LVq2yd039/lZcUeecmku6DkoF/QclK5HnJEGDRvnnwefnLKysvS59JTsvNfBuaDnoBx/9lW5vX/PjP3Kui4AVL2pU79J756X5eTTz8vV/W5Oq1atc0v/foscc8+dt6a0pCQ9+9yYHn1uTOGcwtx7120pKyvLZRefkz3/3jU9+tyQs86/NP1vuMZ7nQBUu8q830uS6d9OzYC+3TLohiuqtC4A+CnfTJ2ay3pdk/NOOzE39+2V1q1apt/A2+aJ+2LU6Jxw5nl57qWXK5y/6bY707xp0/Tvc2X6XnFJHnj0ibw/fERVpQ8AP9vi6G+469Z+adKsRS6/+rZceOWNefLR+zNy+LtVXQoALBJjHwC/d9OmTkm/Xhfm2NO6pXvfu9Ki1TK5c+D8exp+Ku6he2/JiA/ernDuuqsuSJOmLXLxVTfntAt65+Z+V2bSxPGVWhMALArzfAD8L5h7L3dBjj71klze9560aNUmdy6gj31BccO+62M/9fw+6db7jhQWzsljD9yeZO67nf2v6ZZbr78yKSur0toAYGEmfzszZ9/2aK7Yf8c8eOZBadN0yVz10JAKMR98OTY3D341Nx/3j9x32v5p12LpXP3wC0mSfw97P5+Pn5x7Tuuau07dL69/PCpPvuWeD4DqNXXqN7m6Z7ecdPoF6dXvtrRs1Tq39b/uZ8U9+eiD+WrMqPS4ZkAu6dEvDz9wdz4a8UH5tYWFc9Kr+4UV9mGfNHF8LrvwzBx0+HG5ok//rL/RX3L9NVdWfsEAMB9Tpk3Pef0G5bJj98993c+Yu1b1nfOuVX3V7Q+m98mHZlC3k7P/TlvlpJ5z9+gbPOzt3PnE87nmtMNz16WnZnZhUQY9+kx1lAIA8zV16jfp+d1es9ddf9MC96NdUMzo0aPSqFHj9O5zbfnfpptunnbtlqtwbo0118pf/rJpNtxo4+ooE4D/cVOnTsk1PbvlxNMuTK/rBqVlq2Vy24Brf1bcU489mK/HjMqVVw/MJT2uz8MPzn3WOWPG9HS/6Iz8s+vhuaLPwBx0+Am58tKzy/dlGPHheznjxEMz4kO9fQBUv+nTJueO685K1+N65vQr/52mLdrm37f3mG/suDGf5JoLD8g7rz5Z4XzX43rkpEvuzUmX3Js9Djo39Rs2zq77n1EV6QPAz/LN1Gnp1vu6XHDKsbntmivSumXLXHfzHfPEfT5qTI49+6IMeenVCue/HPNVGjdulJt6div/2+ovnm8C8OsybeqUXNvzohx32kXpcd1/1iDr+7Pi7r9rYEpKSnJZn5tzWe+bU1g4J/+6++YkSd8eF6ZJsxa5pNeAnHHhVRl4XU/rtwBQpSqzp6GsrCzdLz4re/x9/3Tvc1POOP/yDLihT74eMyrvvPlaBj/xcC6+om+u6NM/623451zdo1tVlw8A5aZNnZLre12YY07rlu597567RsvA+a9VvaC4r0Z/kUaNl8jFV91a/rfRJltXdSkA8LNNnzY5d/Y7I/sc2zMnd38kTVosm0funLfvfPxXn+Xh27vnwJP75fhu92fznQ7JzT2ProaMAeCnLY49ie6/a0BKS0pyae9byuf5Hvhunu+mvt3zly23yyW9BuaQo0/PVZeelZKS4nm+HwAq29RvvkmPK6/MGWeemetvuCGtWrVK//79FznmxRdfzEMPPpiLu3VL32uvzZzCwtz/r38lSa6++upstdVW6XP11TnuuOPS7eKLU1JSUtUlAgAAAAAAAPBfKqjuBPjteuWVV/LPf/4zw4cPz/bbb19+fvDgwTnssMOSJP369cvOO++cHXbYIZdddlnKysoyevTobL311tlrr73StWvXCt9ZWFiYk046Kdtss00OPPDATJkypcJvJUn//v2zww47ZKeddsrZZ5+dJCkpKUm3bt3Kf2vAgAFJkuLi4px55pnZY489svnmm+fwww/P7NmzM3369Bx88MHZZZddsssuu+Tpp59OknzxxRfp2rVrdt555+y111754IMP8mNDhw5N8+bNs9RSS6VmzZopKSnJ7NmzM2vWrNSuXTuDBg3Kbrvtllq1alW4bqeddsr111+/GP7lgUXx/ltDs3znldJymXZJkk233i0vP/doysrKFjmutLQ0c+bMSlFxYYqLilJcXJTadeomSUpLSzJjxrQkyexZM1O7dt0qrA4AFmzYm+9khU4d03aZ1kmSHbfeMk8NeWGeMfBfjzyev265aTbZaL0K598bPjIFBQU58rRz0vXokzPgjntTUlJaZfkDwC8x9NOvsvIyzbJckyWSJLuv1SWPvvdZhXGwsLgkw8dOzoCh72e36x7KCfcMyddTZ1RXygDws7z+xlvp0rlz2rZZJkmy/bZb5+lnn5vnnu/Bfz+abbbaMn/eeMMK51dbeeX8Y8/dUlBQkJo1a6ZThw4ZN35CleUPAD/HsLfey4qdOmTZZVolSXbeerM8+fzQeca9+x59Ottt8ZdsuuG6Fc6XlpZm1pw5KSouSmFRcYqKi1Ondu0qyx8AKsNyh/09o266O1/f+1h1pwIAv9jwt19Ku44rp0Xr5ZIkG225R15/4eF57vuS5IUnbs/6m+2S1dffssL5Yc89mE232zcNGy2ZgoKC7HHQWVnnz9vPcz0A/Np89O6LWXb5VdKsVfskyfqb75k3X/r3PONgzdp1suuBF2SJpZsnSdouv0qmfzMxxcWFVZ0yACyyl9//OCu3b5PlWjZNkuy+ybp59JW3K4xzKy3XJg9ceGwaN6iXOUVFGT9lWpZs2CBJcvKe2+a43f8vSTJh6rcpKi5Oo/r1qr4QAPgvvPr2+1mxU/ss27plkmSX/9s0jz//SoVxsE7tWjntsH3TbOmlkiQrdGyfSd9MTVGRDa0A+PV544030rlLl7Rp0yZJ8te//jXPPjO4wti2sJjBTz+dXXbeJY0bN57bv37UUdlss83Lr73mmj7ZYssts8QSS1RtYQCwiOb283VaxH6+LfKnH/Xz/euhh3PqCcelSZOlqyxnAFgchr7/UVZevm3atWqWJNl9s/Xz6MtvVZzza98m/7rkxO/n/L6ZmiUbNaiulAHgJ735xuvp3KVLlmnTNkmyzV+3z5Bnnq4wvi0sZvgH76egZkFOOem4HHX4wbl90C0pKSlJUVFR9tr7n1l9jTWTJM2aNc8SSy6ZiRMnVn2RAPAD7781NO07r/yD/Rd2zysL2KdhQXGff/JhNtjkrymoWTO1atfOamttnNeGPp1atWun+42PZbkOK6SsrCwTxo1Jo8ZLVnmNAPAf77z5ajp0XjGtl1k2SbLlNrvkxSFPzDPuLSxuxZVXz8577JeCgoIU1KyZ9h26ZMKEsUnmrmc2Y/oP9ieqU6cKqwOABXv5neFZqcNyade6RZJk1y3/lMdeHDZPD8OZB+2dZkvPvW9bsUO7TPpmWoqKi/POyE9TUFCQg87tkb1OvjjX3/toSkrtTwTAr8t7b76SDp1WSqvvnmFutvWuGTrksXnu+RYW9+IzD2frHfdOo8Zz1yrb97BTs+Gm22TcV1+mQcNGWfmPc9e1XqZt+9Rv0DAfD3+3aosEgB94762Xs/wPxrRNt941Q5+bz9i3CHHFRUW54arzsvcBx6dp81YpKirMjnsclJX/OHf/2ibNWqbxEktlyqTxVVQdAHzvrTeGpXPnP5S/s7n1X3fMc89WfK9zYTErr7Jadtvzn+V78XXo2CkTJoxLUVFR9thrn/xxjbWSzH2vc8kll8ykifbpA6B6Veb9XpK8+uJTWbpJs+zR9ZgqqggAFs2wN9/JHzp3TNtlWidJdtxmqzw95Pl5xsB/PfxYtt1q8/xlo/UrnD/qoK45bP99kiSTJ09JUVFRGjbQ0w7Ar9fi6G/Y9+Dj8o/9j0ySfDN5UoqLitKgQaOqLQQAFpGxD4Dfu3fffCUdOq9YPn+3xTa75MUhj88z1v1U3Afvvp533ng5m2+9c/k107+dmnffGpZd9jowSdK0WYuc3/3GNGps3wYAqp95PgD+F7z7o/70zbfeNS/Np499YXEvPPNwtvlBH3vXw07NRptukyR55YWnslST5tmr69FVWxgA/IShwz/LKu1aZbkWTZIkf9t4jTzy2gcV9yRq1yoPnnVQGtevmzlFxRn/zbdZqmH9JElJaVlmFRalsLgkRd/91alVq1pqAYD/ePuNV9Op8wpp3Wbuuyn/99ed8vyzT85zj7ewuFeHPp9Nt9g2NWvWSqPGjbPRnzfLc888WX7tDdf0yCZbbJPGS3y/J8PQF57NGmutlw6d/pAk2XKbHdL14KMqu1wAmK+X3x2elTq0S7tWc9eq3m2LjfLoi6/Ps1b1WQfuWb5W9UrLt8ukb75NUXFxHn5+WP6x7aZZslHDFBQU5PT998i2G69TLbUAwPy88cbr6dzlD2nTpk2SZNu/bpdnnxlcYaxbWMyHH3yQgpoFOfmk43Pk4Yfk9kG3pqSkpMJvvPfeu3nxhedzxFHm+ACoHu+8MSwdf/AMc6tt5/+sc2Fxrwx9Lptu+d2zzkaNs9GfNs/zzz6RsV+NToOGjbLq6msnSdosu1waNGiYkR++nyR59KF78vd9D02nzitWYcUAMH8j3nkpy3ZYOc1bL5ck2WjLPfL6iw/PMyYmyQtP3JH1N9s1f1xvq/l+V3FxUQb1PSM77XNKlm7aulLzBoD/xqtvvZMVOnXIst/18u209RZ58rkX5xn37n/0iWy3xabZZMP1Kpx/b/jIFBQU5MjTzst+x5ySAXfel5ISe9IC8OvyzhuvpmPnFcufaW657c554dn5rFW2kLgVVv5jdt5z3xQUFKSgZs2079AlE8ePzfRvp+Wdt4Zlt732TzJ3/ZYLruyXRo2s3wJA1anMnoaiosLsvtd+WW2NufN8TZu1yBJLLpVJEydkqaWb5KAjTkiDBg2TJB07/yETxo+rwsoBoKJ333wly/9gXc7Nt9llgWu5LCjuo+HvpKCgZs4/9eCcdtTfc/8dN6T0R+97AsCv0ch3X8yyHVZJ81btkyQbbLFn3nzx3/OMg7Vq18nuB16QJZZuniRZdvlV8u03E1NcXFjVKQPAT1ocexKtuPLq2XmP/SrM802YMDZJUlpamhnTpyVJZs+amdp16lRhdQDwvTfeeCNdunQp71H/63bb5ZlnnvlRH/uCY55++unsvMsuady4cQoKCnLUkUdms802SzJ3vJs+fXqSZOasWaljvAMAAAAAAAD4TbFDI7/YCiuskBo1amTkyJHp0qVLHn744eywww557rnn8t577+Wee+5JjRo1ctJJJ+XBBx/MWmutlc8++yw33HBD2rZtW+G7brnlliTJo48+ms8//zw77LBDhc9LSkpy3XXX5fnnn0/NmjVzxhlnZNy4cRk8eHCS5P77709hYWEOOOCArLLKKikrK0vt2rVz5513prS0NPvuu2+GDBmSmTNnpk2bNunXr18+/PDDPPjgg9l8881zyimn5Oyzz85KK62Ujz/+OEcccUQef/zxCjkMHjw4a689tzG6YcOG2XXXXbPLLrtk0003TcuWLTN06NBce+218/w7denSJR9//HG++eabLLXUUovrnx9YgMkTx6VJ01blx0s3bZFZM2dk9qwZqd+g0SLFbbzp9nntpadywgHbpKSkJKusvn5WX+fPSZJ/HHxqLj/7kDz50KBMmzo5hx7fLTVrGlYBqH7jJ05Ki2ZNy4+bN2uaGTNnZeasWWnYoEH5+WMPmbuw3WtvvVPh+pLSkqz1x1VzyD57pbi4JKdecGkaNqif3XfYtmoKAIBfYNy0mWm1xPfjXcslGmT6nKLMKCxKo7pzG14mfDsz67RvlSM3WT0dmy+VgS9/kGPveiZ3HPjX1KhRo7pSB4BFMn7ixHnu+WbOnDnPPd9Rhx2cJHn9zbcqXL/2mquX/+dx48fnvgcfynFHHlapOQPAf2vcpElp0axJ+XHzpk2+e9Y5Ow0b1C8/f/xB+yRJhr39XoXrt9n0Txn80qvZ6cBjUlJSmnVXXyUbr7NG1SQPAJXk/WMuSJI023Kjas4EAH65KZPGZqkfvL+5VNOWmT1reubMmpF6P3jPM0l22/+MJMmId16qcH7811+k3bTJ6XvxoZk6ZXw6rrBmdvj78ZWfPAD8Qt9MGpslfzAOLtmkZebMZxxs0rxNmjSfu0hsWVlZ/n3bpVlxzc1Sq5aFXwH49Ro7ZWpaLr1k+XGLpZfI9FlzMmP2nDSqX6/8fO1aNfPMmx/k/JsfSO1aNXPYjpsnSWrUqJFaNWvmjBvuzlOvf5BN11gx7Vs1q/I6AOC/MW7S5LRo+sP3XZae532X1i2apXWLuWNbWVlZeg24M39ae/XUrq1PHYBfnwkTJqR5s+blx82aNc/MmTMza9bMNGjQ8CdjxowZk2+mTs1ZZ52RyZMmZeWVV8n+BxyYJHn8sUdTUlySrbfeJnfecXvVFgYAi2jCxIlp3uz755PNmzVbaD/faz/q5+t2/jlVkicALG7jJk9NyyaLOOf3xvu5oP99qV2rVg7bacvqSBcAFsmECRPSbBGedy4opqS0NKuvvmb27XpAiotLcv45Z6RBg4bZcaddstX/bVN+zWOPPpxZs2bmDyusWHXFAcB8zN1/oWX58dz9F6YvYJ+G+cd16LJKhj77cDqt8McUFxXl9aFPp2atue+41KpVO1O/mZTzT9g706d9k0NOvKTqigOAH5k0YVyaNvt+PGvSrHlmzZxR4Z7vp+JWW3O98vMTxn+dRx+8KwcdcUqSpOuhJ+TCM47Kow/cmalTp+Tok863PxEAvwrjJk1Jy6ZLlR+3aLJUZsyanRmzZqfRdz0MyzRvmmWaz13PuqysLD1uuS9/XmvV1K5Va+46nav8IUfutWOKS0py7GXXpmH9etl7202roxwAmK/JE8elSbMW5cdNmi1kT9oFxI0dMyodOk9J93OPzpTJE/OHlVbPHvsdlfr1G2TO7Fl5982Xs+oa6+fTjz7ImC8/zTdTJlZpjQDwQ3PHtB8+x1zY2LfwuOeeeiBLNWmWtdafe59Xp07d/GXLHcuvefbx+zJ71sx07LJKZZcFAPOYOGFCmjb//j6uabPmmfmjOb6Fxay+5jrl58ePH5uHHrg3hx11QurUqZMt/u+v5Z898ehDmTVrVrqssFIVVAUAC1aZ93tJstnWuyZJnn/6ocouBQB+lgkTJ6ZFhbVbmn63RmfFtVuOOXTu2mSvvfl2hetr1KiRmjVr5qIremXISy/nT+uvm2XbLFM1yQPAf2Fx9Dc0aNAwNWvWSp8rzs2rLz6btTf4c5Zp065K6wCARWXsA+D3btLE8fOdv5tnrFtI3JxZM3PL9T1y8rk9M/ix+8tjxn09Okst3TSP/GtQ3n59aIqLi/LXnf6e1sZBAH4FzPMB8L9g8sRxabqIfewLihs7ZlSmdZ6Sy849Ot9MnpguK62ePfc7Kkmy+TZz3+187ul/V1FFALBoxn7zbVou3bj8uOVSjTN9dmFmzC5Mo/p1y8/Xrlkzg9/5KOfd/lhq16qZw7fdOEmy43qr5Mk3R2TLs65JSWlpNlhh+WyyaqcqrwMAfmjShPE/2bv+U3ETJ45PswqftcgXn32SJHnq8X+nuKQkW269fe6785bymK/HjE69evVy5aXn5qvRo9KseYt0PeioyiwVABZo3KQpadlkqfLj79eqnpNGDebuQTvPWtW33Z8/r7lKateqlS+/Hp/JHdvlqEv7ZsKUqVnjDx1z9F47VEcpADBfExdhP9qFxZSUlmT11dfMfl33T3FxSc4758w0aNAgO+60S3l8/xuvzz777lfhXhIAqtLEiePT7Ae9CU0X0K+3sLhJE8dXeNelabPm+eLzT9K6zbKZPXtW3n7j1fxxzXXz8cgPM+rLzzJlyqQkybEnn5skue+u75+BAkB1mTJpbJZq2qr8eMkmLTN71vTMmTUj9X7wjmeS7Nr1jCTJiHdemu93vfLMvVli6RZZbZ0tKi9hAPgFxk+cnBbNmpYfN2/WZL69fMcd3DVJMuytdytcX1JSmrVXWyWH7LNniotLcsqFl6dB/fr52w7bVE0BALAI5vfcckHrtywo7o9rrld+fsL4sXn0wTtz4JGnZOxXo7P00s3y8L/uyFuvv5ziosJst/Pe1jEDoEpVZk9DnTp1s/n/bVd+/slHH8zsWTPTeYWVU7fu9/2ARUWFuW3Addlg400qqUoA+GmTJv54Der/rMs5Iw1+MM+3sLjSkpKs/Md1sse+R6SkuDjdzz8+9es3zNY77lWltQDAz/XNpLFZqslPv+/SpHmbNGneJsncHr8Hb7s0K625WWrVqlPlOQPAT1kcexKtVmGe7+s8+uBdOeiIU5IkXQ89IReecVQefeDOTJ06JUefdH5q1qxVBZUBQEUTJk5Ms+Y/7FFvNrdHfebMNGjY8CdjxowenalduuSsM8/MpEmTsvIqq+SAAw5Ikhx+xBE57dRTc//992fq1Kk55dRTU7NmzaotEAAAAAAAAID/WkF1J8Dvww477JCHH344s2fPzrBhw7LZZptl6NCheeedd7LLLrtk5513znvvvZePP/44SdK0adO0bdt2nu959dVXs802cxeXat++fdZYY40Kn9esWTNrrLFGdtttt/Tp0yddu3ZNy5YtM3To0AwePDg77rhjdt9994wdOzYjRozIOuusk7333ju33XZbLrroonz++eeZOXNm1lhjjTz11FM5/PDD8+677+aII47IjBkz8t577+W0007LjjvumBNOOCEzZ87MlClTKuTwxRdfpFWr71+uP/DAA/PII4/kpJNOSr9+/XLAAQfk8ccfz4EHHpgLL7wwpaWl5bGtWrXKqFGjFtu/O7BgZWVlSY15zxcU1FzkuAfu7JfGSyydnv2fzBU3PJIZ06fmsQduSVHhnFzb/dTsf9S5ueKGR3PqhTdk4LUXZfLEsZVUDQAsutKy0gWMbYt2+7f9Vpvn2IO7pn69emncqGH+tuNf8/zLwxZzlgBQOUrLylJjPgNhzRrfn2uzdONcvdfm6dRi6dSoUSP7rr9SRk+Znq++mV6VqQLAf2Xu88x5x7pFvef7j5Eff5JjTzkjO263bdZfd53FlR4ALFZlpWWp8QvGvf533Z+ll2ych27qk/uv75lp02fk9gceXdxpAgAA8F8qK5v/fV+Nn/G8s6SkOCPeGZqux3bPid3uzMzp0/LwHb0XZ5oAUCnKykp/1vPPwtkzc1vv4zJx3JfZ7cDzKzs9APhF5s7zzXu+5nzGuU3XWCnP9Dgth26/WY7oObBCP+5FB+6eZ3qcmmkzZqXfQ89UZsoAsNiU/oz3XWbNnpMzruib0WPH57TD9quC7ADg51vQnN4P125ZWExJSXHefPONnHba6el5Ve98O/3b3DxwQD7++KM88sgjOeLIoyo1fwD4pUp/5rweAPxelC7gXm++c35rrpzBvc/KITttniOuvKnCnB8A/JosyrubC4v5v623zSGHHZl69eqnUaNG2XHn3TL0pRcqxN191x0ZdOvNOfucC1K3bt3FXwQA/AwLHtd+vE/DguP26Hp8atSokfOO3zt9Ljk+K62+fmrVql0es+RSTXPFjY/n9EsGpH/vczN2zBeLvxAAWAQLfn+l4GfHffrx8Jx3yuH5v7/umjXX3SiFhXPS67KzctixZ+bqAQ/knG7X5IarL8ukCeMWfyEA8DMtaGyb37zerNlzctpVN2X0uAk58+C9kyQ7b75RTur6t9SvVzeNGzbI37fdNM8Oe7vS8waAn6OsrHQBezPM+6xzQXElJcV5761Xc8TJF+e8KwZm+vRpuefWvqnfoFGOPv3y/PueATnzmL3z4jMPZ8XV1q7wHBQAqtqC92eo+bPjHn/o9my/+wHz/Z1/3zsg99/RL8eecWXq1K33C7MGgJ/vl77X+R+ffDQiZ5x8TLbdbqess+4GFeLuvWtQ7rhtQE4/+yLvdQJQ7arqfg8Afm1KS8syn6Wqf/baLWeccHQeuPXGTJs+PTffec/iSQ4AKsHi7G848oRz0++2RzLj22m5947+iz9ZAFgMjH0A/N6VlZYu0jPOBcWlrCx9up+dfxxwbJZu0qzCR8XFxZkw7qvUb9Aw5152fY488YLcemPPfPbx8MWWPwD8t8zzAfC/YEH96TUWsY+9xg/62I86+eKcf8XAzPiujx0Afs3KyspSYz53fQUF857bbLXOGdLtqBy2zUY5rO/dKS0ty7WPvpilG9XPMxcdmSfOPzxTZ8zKwMGvVkXqALBAC9pz78fPNBcWV1ZamvxgjCwrK0tBQc18+vGIPPHIAznkiBPmua64pDjDXn4xe/3jgHTvfWNWXX2tXH7Rmb+8IAD4Lyx4D9p5z82aPSen9hqQUWMn5qyD9kySFJeU5JV3R6TbUV1zy4UnZuqMmbnm7ocrPW8AWFSL0pewsJitt942hx52RPl+tDvtvGuGvvRiecyHH7yfqVOn5i+bbFY5BQDAIpj7nsq85+ft11twXFlpaYVXXeY+6yxIgwYNc/KZF+e+u27JiUfulyGDH8sqq62ZWrVqLeYqAOCXW9C61DV+Zk9Dkgx55JZstfPBiyMtAKgUP76P+49F7eXbfqvNcuzB+6V+vXpp3Khh/rbDtnn+lWGLOUsA+GVKF7jX7I/f8/zpuE8/Hp5zTzk8W223a9Zad6OUlBRn/Hfrt5x/+bU5+uTzc/MNvfKp9VsAqEKV2dPwQ/ffdWvuvO2mnHr2JRX25Js69ZtccOYJqVevfvbe1/NQAKpPWemC+tjns0/fAuI2/b+dsu8hJ6Zevfpp2Khxttlpr7z28pBKyxkAFpcFrVW2oHm/wtkzc2uv4zJp7JfZ/aDzKzs9APivLM49iT79eHjOO+Xw/N9fd82a626UwsI56XXZWTns2DNz9YAHck63a3LD1Zdl0oRxi78QAPgJC9ybqGbNRYopKSnJm2++mdNOOy1X9eqV6d9+m4EDBqSwsDCXdOuW444/Prfcemsuu+yy9O7VKxMmTKi0WgAAAAAAAABYvKzaymKx/fbbZ999980KK6yQjTfeOHXr1k1JSUn23XffdO3aNUkybdq01KxZM1OmTEm9evXm+z01atRIWVlZ+fH8Fha+5ppr8tZbb+W5557LgQcemO7du6ekpCQnnXRSttpqqyTJ5MmT07Bhwzz99NPp1atX9tlnn+yyyy6ZMmVKysrK0r59+zz66KN5/vnn88wzz+Smm27K3XffnTp16uSBBx4o/62xY8dmqaWWmifH+eU1bty4jBo1Kuuss07+7//+Lw8++GAuuuiivPTSS9l4442TJDVr1lzkxbeAn+/+QX3z1rDnkiSzZs1I23adyj+bMmlCGjZaInXr1a9wTdNmrfLpyPfmG/fGy89k74NOSq3atVOrdu1suOl2ee2lp/OHlddKYeHsrL7On5MkHf+watos2zGfjnwvTZq1qoJKAWDBWjZvlg9Hflx+PHHS5DRu1DD1F/D/wX/s8WeeS6fll0vH9sslmdtUU6tmzZ+4CgB+HVov2TDvfTWx/Hj8tJlZol6d1K9Tu/zcyHFTMnLclGy3Wofyc2UpS62antkA8OvXonmzfDhiZPnxxEmT0rhRo0W+50uSZ4Y8n159++XIQw/K5pv8uTLSBIDFomXzpvngo0/KjydOmvLds866C7nqe0Nefi3HHfjP1K5dK7Vr18o2m2ycZ4e+mr123KayUgYAAOAnPHJXn7z32rNJktmzpqd1u87ln02dPD4NGi6RuvUaLPL3Lbl08/xx3c1Tr0GjJMnaf9ouj9977WLNGQAWlyfu6Z0P3hicJJkza0ZaLfv9ODhtyrjUb7hE6sxnHJwy8asMvPKINF+mQw45Y0Bq11n0uUEAqA6tmi6Zdz8bXX48/ptvs0SD+qlft075uS/HT8qkqdOzRue5fQs7brxmLrr1wUybOTsffD4mndq2TIullkiDenWz9bqr5uk3PqjyOgDgv9GqeZN88NGn5ccTJk9J40YN5nnfZeyESTnpkl5p36Z1+px7Uur9YJwEgF+T5s2bZ8SI4eXHkyZOTKNGjSqsHbWwmCZNmmbDDTdKgwYNkySbbrpZbh80KEkyc+bMnHji8UnmrhV1+eWXZv8DDsz6629QFaUBwCJp0bx5ho/4qPz4v+nnA4DfolZNlsp7n4wqPx4/ZVqWaPijOb9xE+fO+XVpnyTZ8U9r5+KB/8q0mbOyVKOGVZ0yAPyk5s1bZOQ8zzIbp94P1qpeWMzgp5/M8h06Zvnl/7N2WVn5OvVFRYXpeeXl+fLLL3P5lVelZUvrUwNQPf41qG/eGjYkyfz2aRifBvPZp6HJPPs0fB83acLX2W2fY9Ko8ZJJkofvuTEtWi+bmTO+zfB3h2XN9TdLkizXccUs275LRn/5cVq1Wa6yywSAJMndt16f1199IUkya+aMLNv++7WmJ0+akIY/uudLkqbNW+bjke8vMO6l557MTX27p+shJ2SjTebugTbqi09TOGd21lx3oyRJ5xVWSdt2y+fjke+nafOWlVojAPyUlk2Xznsff15+PGHy1CzRcD49DBMn5/jLr0v7Ni3T96yjU6/O3Hm/R55/NZ3btUnn5dokScqS1KplfyIAqt99t12XN/+zJ+3MGWm73E/vSdukeat88oN7vh/GLdWkWdbeYJPU/26tsg032ToP3HFjSktLU69e/Zx20ffrlp182K5p2bptZZYHAPO4b9C1efPVuWPf7FmLNvY1bd4yn340//3Yk+SLT0ektKQ4K6yyZoXriooKc0Ov8/LVqM9y5iU3pXnLZSqrLABYqGbNW2bkiA/LjydNmjDPe50/FfP8kMHpd03PHHTY0fnzJluUxxUVFabXlZdm9KjPc8kVV6eF9zoBqCZVeb8HAL9WLZs3y4cjv1+7ZcKkyd/tSbtoa7e8+sZb6bBcuzRr2iT169fP5n/eKM+99EplpQsA/5XF3d/w9hsvZ9nlOqZJ0+apV79BNvzzlnn1pWerpBYAWBTGPgB+7+65rV9ef/X5JN+Ndct1LP9s8nfzd4s21i2RMaM+y/hxY3LrTVclSaZOmZTS0tIUFc3Jjrt3TZL8ZfPtkiStllk2XVb8Yz4Z+X6W77RCpdYIAD/FPB8Av1f33nZd3vhBH/uy83m3c957vvn3sdebTx/7RptsnfvvuLEKKgGA/16rpZfIu59/XX48fuq3WaJBvTT44Z5EE6Zk4rQZWbPj3DVYdlp/1Vx45xOZNmt2nn7no5y66+apXatmateqmR3WWyVPvjUi+262bpXXAsD/tjtuuTGvvfJikmTmzBlpV+Edlnn3JEqS5s1b5qMRH8w3rlnzlpkyeWL5Z1MmT0zTZs0zZPDjmTVzRs448fDy870uvyD/3P+wNGnSLH9YaZW0brNskmTzrf6a/tf1ypw5c1K3bsV1QQGgsrVqunTe+/iL8uOFrVV93BXXp/0yLXPtmUeWr1XdfOkls+k6f0yjBnPnBLfdaO1cf//jVVcAAPyE5s2bZ8RP7ke74JjBTz+V5Tt0KN+PtixlqfndfrRJ8txzQ7LZ5lukoKCgCqoBgO/dcesN5c86Z82ckXbtf9jDMHG+/XrNmrfMRz9Yq/OHcc2at8zkSZPKP5syeVKaNmv+3b4MDXLeJb3LPzv64L3Syr4MAPxKPHp3n7z3+jNJ5q7fucyyncs/mzp5fBo0XCJ16zX4Wd85+rMPU1Jako4rrrNYcwWAxall82b54KNPyo8n/sxevsefeT6dll8uHdu3++5MWWrVtCctANXvrluvz+uv/Getspk/WqtsQc8+W+XjH73n+cO4l4Y8lRv7dk/XQ4/PxptslSRZukmzJMkmW2ybJGm1TNv8YaXV8vHID9PB+i0AVKKq6mlI5u7J1+fKbhk96vNcfEXftGjZujzu888+yaXnn5Z1N/hT9jng8NR0TwhAFbvntuvyxgLW71zwWi4t88nIeffpq1evfl545pG0a9857Zb/br6wrOL7ngDwa/L4Pb3z/uuDkyRzZs1Iqx+87zJt8rjUb7hE6sznfZcpE79K/yuOSItlOuTQMwekdp1FmxsEgKqwuPckSpKXnnsyN/Xtnq6HnJCNvpvnG/XFpymcMztrrrtRkqTzCqukbbvl8/HI99O0ectKrREAfqx5ixYZMWJE+fHEiRPTqFGj1PvBu5wLi2nSpEk23HDDNGjYMEmy6WabZdCgQfn8888ze86crLfeekmSFVZcMcstt1xGDB+e5s2bV1F1AAAAAAAAAPwSVixnsWjZsmVat26dfv36ZYcddkiSrL/++nnggQcyY8aMFBcX54gjjsjjjy98k5gNNtggDz30UEpLSzNmzJi88cYbFT6fPHlytt1223Tp0iXHHHNMNtpoo4wYMSLrr79+7rrrrhQVFWXGjBnZe++989Zbb2Xo0KHZZpttsuuuu2aJJZbIK6+8kpKSktx6663p3bt3ttlmm5xzzjmZPHlyysrK0r59+zzwwANJkhdffDF///vf58mxXbt2GTNmzDzne/funcMPn7sJXFFRUQoKClKjRo3MmTOnPGbcuHFp29ZiyVBZdt77sJzX4/ac1+P2nHnJgHw68t2M++rLJMmzj9+T1df9yzzXrLz6+guMa9dxhQx78ckkSXFxUd569bl0/MOqadl62cycMT0fD387STL+61H5atSnabf8H6qiTABYqHVWXy0fjPg4o7/6Okny4GNPZaN1117k6z/7clRuGnR3SkpKM2dOYe5/5PFs+qcNKitdAFisNujQOu+MmZgvJk9Lktzzxshs0mXZCjEFNZJLnxiWMVO+TZLc9frIdG6xdFou0bDK8wWAn2utNVbPhyNGZvSYr5IkDz3yeDZcf91Fvn7oK8Nydb8bcskF52TzTf5cWWkCwGK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Mz549c8IJJ6RXr17p1avXXN0zSRo3bpxmzZrlnXfeyZAhQ9KtW7fZ1tCrV6+ceuqp2XPPPbPRRhvluuuqFoYoLy/PBRdckB49emTbbbfNbbfdVn3NZZddls022yy77LJLDjvssDz00EMz3XP06NE55JBD0rNnz+ywww557bXXkiTjx4/PoYcemu7du2e77bbLoEGDcsMNN2TkyJE58MADM27cuAwZMiS77bZbevTokX333TfffPNNkmTYsGHp0aNHevTokWuuuWaWOj799NPcc889ueeee/Lggw+mV69e2W+//bLlllumT58++eKLL7Lnnntmm222yS677JIhQ4YkSU488cScccYZ6dmzZzbffPM88sgj1Z/Lvz/vxx9/PFtuuWW22mqrnHjiiSktLc1PP/2U/fbbLzvvvHM22GCDXHXVVbPk9J9eeeWVbLXVVunZs2fuu+++6vN77rlnBg8enB9//DF77LFHevbsmR133DHvvfdekszx83jjjTeqz2+88cZ57rnnqnPdbrvt0rNnzxx++OGZMWNGkuSGG26o/re8+OKLU1lZmcmTJ+fAAw9Mz54907Nnzzz//POz5P3YY49llVVWSZ06dVKnTp3MmDEj06dPT2lpaYqKinL99dfnwAMPnOW6bbbZJrfccstvfibAvPH6kOFZepEF06VD2yTJDpuum6defXOmzRrr1inOqQfsntYtmiVJllqkS8aMn5jSsrIM+fjzFBYW5oAzr8hux5+fGx/sn/KKilqpBQDm5MP3BmWhxZZJu45dkiQbbrFTBr/Uf6bx7vfivvzso6y5wVYpLCpKcZ06WX7ldfLWoOczedKEDHt/cLbdper/c1u2bpdTLrojjZo0rdkiAWA2Fm5fkB/GJuMmVx2/82lllulSMNvY4qJk2zUK8/x7Mz/TPftuZZ5/r2rMbNwgKS5MZpTO07QB4E/7Ytgr6bDgcmnZbqEkyUrr7ZZhbzw+y/NfUXHddN/z3DRuVvW9aPsFl83kiaNTXlaSH7/+MMusvl0KC4tSVFw3XZfbIMPfebqmSwGA3/XNx6+mbefl0rzNQkmSZdbcNZ+8O+u412aBZbPbCU+nXoMmKSudkSkTf0q9Rs2TJJWVFSkrmZbyspJUlJWkorw0RXXq1nAlAPDHfTL01XReeNm0br9QkmSNjXfNu689MevzX5262WH/c9K0RZskyQILL5vJ40enrKykplMGgLk2aPiXWbZL+yzYtkWSZOe1V0y/t4fNNM4t3bl9Hjt1/zRpUC8zSssycsLkNG/YIEky7JufsvWqS6eosDB1iouy7jKL5Ln3R9RKLQDwV1nw4L/lm1vuzw8PPlXbqQDAf22xjoX5bnRFxkyses4bPLw8K3SdfUt7naJkp/WL029w2UznO7UuyHuflqeyMimvSEZ8W5FlF/rL2+IB4C83t/M82y+4bA465+nU/3m+y6TxP6XBz/NdAGB+NuTdN7LIYkulQ8fOSZJNu/fMqwOfmWWs+624vQ88Knvse1iSZPzYMSkrLU3Dho1rthAAmI133nkniy++WDp16pQk2WqrrfLCiwNmGud+K6aioqJ6TcLS0tKUlZWlbt2q/oWKiopMnlzVED9t6rTq8wAwv/j2516+Zv/u5Vtj13w6h16+XY//j16+CT+lXsPmSZJR3w7L4t22re5h77LU+vl8qB52AOZPw94flAUXXSbtOi6YJFl/850y+OVZ1+9MkgH97806m/TIymtuOtP5xZfuli13PCCFhYUpLCpK50WWyJjR39dI/gDw3/jwvUFZaNFf1qfeYIs5j4Mv9r8v627SIyuvteksrwHA/Gr4+6+lS9dl0rZD1TPf2pvukrdfeXK2Y90rz/TNGhv1zIprzDzWvfnSY9lw673TqHGzFBYWZpcDTsuq621TI/kDwB/hu04A/pcM+uiLLLtghyzYtmWSZOf1uqXfmx/OvHZZlw557KyD06RB/Z/XLpuU5o2q1i57YvDQ7LXJ6mnWqEEKCwty6m7ds/Xqy9ZKLQDwewYN/yLLdvmPcW+dldLvrV+t2dmlfR47/aBfxr3xk6rX7CyvrMy0ktKUlJWn9Oc/dYuLaqUWAJid9955M4sutmQ6dlogSbLFVtvm5QHPzTTW/VbM2DGj88agV3L6OZfMdN/S0pLsvNveWWGlVZIkrVu3TbNmzTNm9KgaqgwAft/rX/yYZdq3zIItmyRJdlpp0fT/8KuZxsGSsvKM+Glcbn/jo+x0c/8c8/Ar+WHilCRJt85tcsBaS6ewoCBFhYVZsl2L6tcAYH70+YevpONCv6zRufIGu+WDwbPfi32rvc5Nk+ZVe7F3WHDZTJ5QtRd7RUV5Skumpby0JOVlJSkvL01xnXo1XQoA/K4luxTl658qMmp81Tj36pDSrLxEnVniioqSBdoUZuOV6+aEvzXMvlvVT4smBUmShTsWpaKyMofv2CAn/K1hNl+tbgoKarQMAJhrw4dU9fK1mZtevqfvyRob7pAVVt9stvcqKyvN3deekh57nZAWrTvM07wB4M/4eMhr6bzIstXj3lqb7Jp3X539uPfqM32z+mzGvW+/GJZu62yTwsKiFBfXzVIrrZchbzxTI/kDwB/ldz4A/q95/503suhiS6ZDp6o99Tbfavu8PODZWca234p7Y9DL2XCTLVNUVJzGTZpk7fU2yksvPlt97U3XXpENNumeJk2bVZ/7/NMRWXXNddKocdW80TXWWi+vvzpwXpcLAHP09fBX0q7LcmnRdqEkyfJr75bhb8/6vNeu87L5+6m/7E80ecJPafDz/kRJ8s0ng/PlRy9nubV3rcHsAWDO5vVz32svv5iWLVtnr/0Omel+Tz35cDbefOusuc4G875IAPiDvvvk1bRZYNk0a71QkmTpNXbLp+89Mdv5LmUl0/LivSdkja1OqOEsAeDP+/zDV9NxoeXS6uf5LatssOts57cUF9fN1nufUz2/peNCv8xv+bfyspI8esuJ2WzXk9KspZ4GAOYPH743KAsvtnT1vrMbbrFjXn9p1j2JfiuuoqIiM2ZMS2lZScpKS1NWVpo6davmclZUlGfKlIlJkunTpqaOOZ4AzCeKuiyRip++SeX40UmS0iGvpc4S3X4VVJTCNp1Sd+UN0/Bvx6b+VnunoEnzJElBYUEK6tRNioqr/hQWp7K8rIarAIC58+47b2exxRev3o+h+1bbZOCLz8/07PdbMcOHfZjCosKccNxR+echB6ZvnztTXl5eK7UAwJwMeeeNdF1sqeq5m5tu2SOvDHhmlu86fytuyWVWSI9d967ef32hRRbP6JE/JkkGvfx8WrRqnT32PaxmCwOAubB456J8M7IioydUjXuvDyvPSovOuq9sUWHSsXVB1l+xOEftVC97blY3zRtXLUr9+Q8Vef6dslQmqaxMvhtTmeZNLFgNQO17+513s8Rii6VTp45Jkq236p4XBgyc6Xnvt2I++fSzbLLRhikqKkqdOnWy+qqr5OVXXp3pPYZ+8GFefuW1HH7YzH19AFDbBn3wcZZepHO6tG+TJNlxozXTf9C7M42DdYuLc9q+O6VN86ZJkqUX7pwxEyaltKwsw7/8NluutXKKCgtTp7g466ywZJ5/c0it1AIAv+f1oSOy9ML/Me5tvHb6v/b2zONeneKctv8uad2iai3OpRfunDHjq8a9fystK8uZ/+qTY/bYPu1btajZIgBgLg0e8lGW6rpQunSo6kvvuel6eeqVN2Ya9+oU18nJB+5RPe4ttUiXjBk/MaVlZTl6751z+B47JElGj5+QkrKyNGrYoOYLAQAAAAAAAOAvUTwvbtq9e/c8/fTTWWONNTJkyJAsscQS1T9MT548Oc8991zuvPPO1K9fP1dddVXuvvvunHbaadXXDxgwIEsttVSuvvrqlJSUZKuttsqHH36YJPnyyy/z4osvpkmTJunVq9dc3/PfNthgg/z973/Pcccdly233HKONYwYMSJ33313Jk2alE022SR/+9vf8uSTTyZJHn744ZSUlGS//fbLsssum4kTJ+btt9/OE088kWnTpqVHjx7ZaKONZrrfeeedlx122CEbb7xxRo4cmd133z2PPPJIrrrqqnTp0iXXXHNNRowYkdNPPz333ntv7rnnntxwww1p1KhRTj311Fx//fXp2LFjXn755Zx22mm57bbbcsIJJ+TEE0/M2muvnWuuuSaDBw+e6T0XXXTR7Lpr1UacO+ywQ3r16pWSkpL069cvSbLjjjvmwAMPzGabbZb33nsvRxxxRJ5++ukkyTfffJN77703Y8aMSc+ePbP22mtX3/enn37KBRdckIceeijt27fPcccdl4EDB+arr77K1ltvnR49emTSpElZf/31s+eee8728y0pKcmJJ56Y22+/PV27ds0pp5wyS8wDDzyQDTbYIPvvv39eeumlvP3221l66aXn+HncddddOffcc9O1a9cMGjQo559/fjbZZJNceeWVue+++9KqVatcdNFF+fzzzzNq1Kh88MEHeeCBB1JQUJDjjjsujz32WCoqKtKpU6fccMMN+eijj/LYY49l4403nimvF154IbvsskuSpGvXrllyySXTs2fP7LbbbhkzZkzGjRuX5ZdffpZ6Vl111ZxwwgmprKxMQYFGaqhJP40Zl3atmlcft23ZPFOmTc+UadPT+OfJTx3btErHNq2SJJWVlbnizoey3srLpU5xccrLK7LaskvksN22S1l5eY68+Po0alA/u2+5YW2UAwCzNXb0T2nZql31cYtWbTNt6uRMnzYlDRo2nqu4RRZfNoMGPJlFl1whZaWleXvQ8ykqLs7IH75Jsxat88xjd+eDd15NaWlJNt9ur7TvtGCN1ggAs9O0QTJx6i9NMROnJfXrFqRucVLyq/07uq9SkHc/q8zI8bPep7Iy2Xb1gizZuSAjvq3MmEnzNm8A+LMmjvsxTVq0rz5u2qJ9ZkyfnJLpU1KvwS/Pf81bL5Dmras2/6isrMwLD1yQxZbfKEXFddNxoeXz4eBHs8Ci3VJeWpIR7z6doqI6NV4LAPyeyeN/SOPmv4x7jZu1T8n0ySmdMSV16zeeKbaoqE6++OC5DLj/1BQV182qmx2eJFlilR757P2ncse566eyoiwLLLZ2Flp65jkdADA/Gj/mxzRr9cs42Kxlu8yYNjkzpk1J/f/4/a9lm05p2aZTkqrnvyfuvihLddsoxcV1azxnAJhbP46blHbNm1Qft2veJJOnl2TKjJI0rl+v+nydoqK8MOSTnHXP06lTXJRDuq+TJFluwQ554s1hWXGRTiktK89z73+S4qLCGq8DAP5KHx5xTpKk9aZr/04kAMz/mjUuyIQpvxxPnFI1t7NenWRG6cyx261dnDeHl+fHcRUznf9mVGVWXLQoX/1UluKiZJkFi1IxcwgAzJfmdp5nUjXf5eP3nkv/O09JUXHdrLvN4TWdLgD8YWNG/ZRWrX/pVW/Zuk2mTZ2SadOmpmHDRnMdV1RUnN6XnZk3Xh2QVdZcLx07danROgBgdkaNGpU2rdtUH7dp3TpTp07N1GnT0qhhw9+N2XSTTfLyK69kj732Snl5RbqttFLWWH31JMmhhxycE086OQ8//EjGT5iQE084PkVFRTVbIAD8hskTfkijZr98t9loLnr5Xnrg1BT+Ry9f2y7L5+N3Hku7hbqloqwkXwx9JoVF82TpawD4r40b/VNatv5l7GvRql2mz2b9ziTZ7YCTkiTD3hs00/mlV1yr+u9jRn6f55/okz3+Meu+CAAwvxk35qe0aP3761gnye4HnJgk+fD912s0RwD4b4wb82Oa/8eaLc1btcv02azZkiQ77lu1Z9qIIa/NdH7kD1+ly8Sxue78f2TCuJHpumS3bPu3o+d98gDwB/muE4D/JT+Om5h2LZpWH7dr3jSTp8/IlOkladzgV2uXvTciZ939ZNXaZVuvnyT5auTYjJ00NQf37ptR4yen26Kdc2QP61QDMH+qGvf+c83O3xj33v84Z/XtXzXubbVukmS71ZfLs+8Oz6an9k55RWXWXHKhbLDcYjVeBwDMyZhRI9O6zS99eq1at8nUX/Ws/1ZMy1atc8Kp58xy37p162WTzbeqPn6m/+OZNm1qFl9y6XlYDQD8MT9Ompp2TRtWH7dt0jCTS0ozpaQsjetV7Sk7avK0rLpguxy67nLp2rpZ7nhjeI568OX0/fvmWXPhDtXXfj9hSu5+a0RO23zVGq8DAObWxHE/pumv1+ic9vt7sT973wVZfIWqvdhXWLtnPnr7qVx1/HqpKC/LIsusk8VX8FsfAPOfFk0KM37yLxsqjJ9cmQb1ClKvbjKj5Je4Zo0K8sm35ek3qCQ/jKnIRt3qZP+tG+SSvlNTWFCQj78uz+OvzkhRYXLgdg0zvaQyA98rnc07AkDtGv8nevmG/6qX799ef+HBNGvRNsuvtsm8SxgA/gvjx/4w07jXrOWcx72e+5yaJPl46Mzj3oKLLp93Xnk8Cy++UsrKSjLkjWdTZM1OAOZTfucD4P+aMaNGplWbttXHs+tj+L240aNHpvVMr7XNV198liR57uknUlZenk232CYP3XtndcxiSyydJx65L9237pnGTZpmwPNPZdzYMfOyVAD4TZPG/ZgmzX953mvSvGp/opIZU1JvNvsTfTrkuTx3T9Xe62t2r9qfaPKEnzLwofPS4x83Zchr99Zo/gAwJ/P6uW/zLbdLkrz4bP+Z3nf/g49Kkrz/zpt/fVEA8F+aPOHHNGr2S296o6btUjpj9nvUvvzwGVlq9Z3TssMSNZ0mAPxpE8f+kKYt//j8lmfuvTCLr7hhiorrVse8+/KDadK8bZbstmnNFQAAv2Ps6J/SstV/7knUNtOmTpllT6Lfiltnw23y1mvP5Zj9uqe8vDzLrrhGVlx1vSTJHgeemEtOPyjPPt4nEyeMzT+OvkCPAwDzhcImzVMxeXz1ceXkCSmo1yCpWy8pmZEkKWjULOXffpqSQf1TMebH1Om2QRpsvW+m9r08pcPeTPGiK6TxfqcnhYUp+/rjlH8xrJaqAYDfNmrUqLRu/ct+DK1bt8nUqVNnmvPyWzHlFRVZccVu2Xuf/VJWVp6zzzglDRs2ynbb96zxWgBgTsaMHplWrWeeuzltdnM8fyNuhW6rV58fNfLH9H/s3ux/2AlJkk237JEkGfDck/O6FAD4w5o1KsiEyZXVxxP+vV51nWTGfyw33bRRQT77viJPv1Gan8ZVZv0VirP3FnVz1QMz8sm3v6x33bxxQdZdrjgPDiwJANS2UaNGp02b1tXHbVq3ztSpUzN12rQ0atjwd2OWXHzxPPfCi1lm6aVSWlqal199LcXFM89dufGWW/P3vfaovh8AzC9+Gjs+7Vs2rz5u27JZpkybninTZ6Rxg/pJko5tWqZjm5ZJqnoZLu/zWNZfaenUKS7Osl27pN9rb2eFxRZKaVlZnn9raIqLimqjFAD4XT+NGZd2rZpXH1ePe9NmpHHD2Y97V9z9aNbrtkzq/Mdz3qMDBqdNi6bZcNXlazR/APgjqsa9FtXHbVs1/3ncm57GDRskSTq2bZWObVslqRr3rrrzway78vLV415xUVHO6H1rXhj8TtZfdcUs2LFdzRcCAAAAAAAAwF+icF7cdKONNspLL72UioqK9O/fP927d69+rXHjxrnsssvy5JNP5rLLLsuLL76YqVOnznT91ltvnbXXXju33XZbzj333IwfP746ZuGFF06TJk1mip+beybJSSedlOnTp+ekk07Kww8/nKFDh+aiiy6abQ2rr7566tatm1atWqV58+aZNGlSBg0alBdeeCHbbbdddtppp/z4448ZMWJEXnvttXTv3j1169ZNs2bNsskmm8xyv9deey1XX311tttuuxxwwAEpKyvLN998kzfffDPbbVe1cdgSSyyRe++deePML7/8Mt98800OPvjgbLfddrn00kvzzTffZOzYsRk5cmTWXnvtJEnPnnO3INPyy1dNcJsyZUq+/vrrbLbZZkmSFVdcMc2aNcvnn39efb86deqkffv26datW95+++3qe7z77rvp1q1b2revWiz4kksuySabbJL99tsvHTp0yM0335zzzjsvpaWlmTZt2mzzGDFiRNq2bZuuXbsmSXr06DFLzJprrplbbrklxxxzTMaPH5899thjjp/Hv/P45JNPcs011+TWW2/NlClTkiQbbrhhdtttt1x88cXZfPPNs9RSS2XQoEEZMmRIevbsmR49euSDDz7Ip59+mpVWWinPPfdcDjnkkAwdOjSHHnroLHl99dVXadful8kSJ598cvr165e99947vXv3zqGHHpq77747++23X6699trquMaNG6eysjLjxo2bq38r4K9TWVmZgoKCWc4XFc46DE6bPiMnXXVLvv1pVE49cPckSY+N185x++ycBvXrpUmjhvnblhtmwJvvz/O8AeCPqKysmO14V1hYNNdxu+xzdAoKCnLW0bun94VHZ+kV10hxcZ2Ul5dl9E/fpUGDRjnpgltz0DEX5N5bL8uXn1kUHYDaN5thLUlSWTnzcbdFC1JRmQz5onL2FyR5bHBlrnikIg3qFmSdpedwYwCoZXN6riuYzfedSVIyY2oeufGIjBv1dbrveW6SZKMdT0wKCnLreT3y4PWHZuGl1k5hUZ15mjcA/BmVlRVJ5n7cW3jZTbLPWa9nlc0OyxM37Z/Kioq89ew1adC4Zf5++ivZ85SBmTFtQt4beMs8zhwA/ntz/l1vDs9/06fm7l5HZfRPX2fH/c+e1+kBwH+lal7nrOcLZ3Nyo+UXy8DzD8vBW6yVg6+/PxUVlTlm+w1SUJDscvEdOfKmh7PmEgumjsXPAQAA5hsFmXUeZ5JU/Orc6ksWpqIiefuTilli+79RllQmh21fJ3/bpE4+/b4i5b++AQDMh/7oPM/FV9wkR1w2OOts/c/c22u/VFbMOi4CwPxkTmu4/HpOy9zEHXbMmbnh7n6ZMmliHrzn1r8+WQD4g+ZmrbLfirm7T580a9osfe++O3fdcXsmTZ6UBx96KCUlJbngwgtzzFFH5a4778glF1+UXr16Z9SoUfO0HgD4I/7od5sLL7tJ9j7z9ayy6WF58uaqXr41tz4hBSnIg1f2zNO3H5YFFltLDzsA862KOfSx/3r9zrnx1WfDcslp+2aD7rtk+VXW+wuyA4B5q6Ji7taxBoD/X83pN705fd85O+XlZRkxZFD2OfLSHHvBvZk6eWKevKfXX5kmAPwlfNcJwP+SOfcpzGbtshWXyMBLjs7BW62Xg3v1TUVFZcrKyzPooy9yyX490/fEfTNh6rT0fmxADWQOAH/cHxr3Vlg8Ay88Igd3XycHX3tvKioqc33/V9KiccO8eP7heeacQzJh6vTc/vzgmkgdAOZKxVz0os9NzG956L67c8/dt+ak089PvXr1/nyyAPAXq6ysTMFsfuMr+o9xr1Pzxum90/pZtE3zFBQUZK/Vlsy34yfn+wlTqmOG/Tg2+939fHbttljWW7RTjeQOAH9GZUVFZrdJ0W/txf7Qv47IuJFfZ+u9q/Zif+nx3mnYpGWOuuzVHH7xS5k2ZXxef8aetADMfwoKZr9HQ+WvlpweO7Ey/3p0Wn4YU/XCC++UpnWzwrRsWpBBH5bmwYEzUlKWTCtJBrxbkuW7FtdA9gDwx1Xtq/Df9fL928B+d2bTHgf+BVkBwLxRWTH73/n+yLi3zd+OS1KQy0/eMbdddngWX26tFBVbsxOA+ZPf+QD4v2ZuexR+K+7X34lWVlamsLAon386Is/0ezQHHXrMLNetv9HmWXOdDXPmyUfm1OMOTafOC6a4jt//AKg9lZWzf94rLJj9896iy2+Sf5w/OGts8c88fP1+KSsrSf/bj8n6PU5Ko2Zt53W6ADDX5uVzHwD8/6pqj9pZz//6N79hg/qksKg4S6yyQw1lBgB/jcrKij80t7NkxtQ8eP2RGTfq62zz8/yWfxv83G1ZZ6t/zJM8AeDPqqysnF373izfW/5W3KP33pAmTVvkylufzWU39cuUyRPy1KN3prRkRq6/9MTs+88zc9lN/XPiuTfl9uvPy9jRP86jagDgDygoSGazfksqfjlZOXFspj16UyrGVI1dpe8MSGGzVilo2jJ1V98sldMmZ/KNZ2byzeekoF7D1Flp/RpKHgD+mKrf9H57zstvxWy+xZY56ODDUr9+gzRu3Djb9dgxg157ZZ7mDAB/VMWc+hhmmeP5+3Gffzo8Z55wSDbbeoesvNraf32yAPAXm4uvO5Mk4yZV5pZ+JflpXNULA98vS6umBWnR5D/2MmpdkIO3q5tXPyjLR1//asFrAKgFc+pZmPX7zdnHHLT/vikoKMjBhx+ZM885P91WWjHFxb+syfLhsI8yYcLEbLSB3/oAmP9Uzm5zoiRFs+lnmDajJCdcc1e+GTkmp+27U5LkqF23SVKQv51+RY656rasvsziqVOsrx2A+dOc1mopKpz13LTpM3Jir9vzzU+jc9r+u870Wp+nBmbf7TabZ3kCwF+hsqJidq16s3/emz4jJ195U775cWROOWiPmV4767B98vSNl2Ti5Cm5+cEn51G2AAAAAAAAAMxr82T34UaNGmXJJZfM22+/nddffz3HHHNM+vXrlyT54Ycfsueee2aPPfbIeuutl9atW+ejjz6a6fo777wzTz/9dHbeeeestdZa+fjjj6snONevX3+W95ube44fPz4vvvhiBg0alKKionz99dfZZ599ssMOs9/EpF69etV/LygoSGVlZcrLy3Pcccdls82qJoqNHTs2jRo1ymWXXZaKit9ujK2oqMjtt9+e5s2bJ0lGjhyZVq1apbi4eKYJbJ999lkWXnjhma5bYIEF8uijjyZJysvLM3r06Oqc/q2oaO4ma//785vdhPF/1/jr+1VUVMzUFPXrnMeOHZskueGGG/LNN99k6623ziabbJLXXnttjhPT5yb/lVdeOU8++WQGDBiQfv365eGHH84JJ5ww288jSXbfffesvvrqWX311bPmmmvm2GOPTZKceuqpGT58eAYOHJjjjjsuhx12WMrLy7P33ntnn332SZJMnDgxRUVFadSoUfr375+XX345L774Ym655Zb069dvpoaygoKC1KlTZ5Z8P/jggzRp0iQtW7ZM37598/jjj2f//ffPF198Uf1vWlRUNMtiJMC8165Vi3zw6ZfVx6PGTkjTRg3ToH69meJ+HD02R1/yryzUqV2uO+3w1K9bN0nS7+U3sliXTllswU5JqhZYKNYkA8B84JE+1+W9NwcmSaZNm5IFuixa/dq4MSPTsHHT1KvfYKZrWrZun88//mC2cWNG/ZAd9zoijZs0S5I8+cDNaduhc5q3bJMkWXvjbZMk7Tp0yaJLrpgvPvkwC3Vdep7WCACzs96yBVmsY9X3U3XrJKMmJP9eDq9Jg2TajMqUls98zfILFaROcbLfZgUpKkyKi5L9NivMvS9VpE3zZNT4ZPL0pLQs+fDryiy5QEFmv8QeANS8lx67Kp8OeSFJMmP65LTpuHj1a5PG/5T6DZulbr2Gs1w3Yez3eeCaf6R1h67Z7ag7Uqdu/ep7bNjzuDRo1DxJ8lr/69OiTZd5XwgAzIU3nr46X35YNe6VzJicVu1/GfemTPwp9Ro0S526M497E0Z/lamTRqfDwisnSZZcdYe89OCZmTFtQj4f+mzW3f6UFBXXTVFx3Syx8vb5fOjTWXH9fWuuKACYS8880CvD3vn5+W/alLTvvFj1axPH/ZQGjZqmbv1Zn//Gjf4+t19+aNp0XCQHnXJb9fMfAMyv2rdokqFf/VB9PHLCpDRtWD8N69WtPvf1qHEZPXFKunVdIEmy/RrL5dz7ns3EadMzbUZpjtp2/TRrVDUv5qZnXk+X1s1rtAYAAABmtvFKRVmqS1X/bL26Bflp7C99100bJlNnVKa0bOZrui1WlDrFyWHb1UlRYVKnqOrvtz9TmsLC5Kk3yzKtpCp2/eWLMmaieZ0AzJ/+zDzPcSO/yuSJo9J50VWSJMuvvUOe7nNGpk+dkAaNW9Rc8gAwF+6/68a8/cYrSZJpU6ek80KLVL82dsyoNGrcJPV/1dPeqk27fPrxh7ONe/+d19N5wa5p2apN6jdomLXW2zRvvDagRmoBgN/Spk2bDB8xovp49Ogxady48UzrX/5WzKuvDcoh/zgoderUSZ06dbLJxhvnlVdezXLLLpcZ02dk9dVXS5IsteSS6bLgghk+YkTatGlTcwUCwK+8+fTV+WrYL718Lf9EL98Sq+6Qlx+q6uUrLZmW1bc6NvUbNk+SvPPC9WnWasGaKQYA5sJjfa/N+28NSJJMnzolnRb8pX9v/BzW7/w9b77yVPrceH522//ErLbuln9lugDwl3q07y/rWE+fNiWd/mMd6z87DgLA/KTffb3zwb+f+aZNTocuvzzzTRg7Mg0bNU292azZMifNWrTJCqttnPoNGydJVll36zz94PV/ac4A8Gf5rhOA/1XtWzTN0C+/qz4eOX42a5eNHFu1dtminZMk26+1Qs7t2z8Tp05Lm2ZNsvGKS6Rxg6o9bLdaddn8q/8rNVsEAMyl9i2bZuhX31cfz3nNzsnp1vXncW/N5XPuvU9n4rTpef79j3PijpumTnFR6hQXZdvVls2z743I3huvXuO1AMDstGnTNp+M+Kj6eMyY0Wn8q571uYmZndLSkvS6/MJ8881XufCya9K2XYe/vgAA+C+0b9ooQ78fW308ctK0NK1fNw3qFlef+3jk+Hw8cly2Xnbh6nOVSYoLq9b8fGrYV7ng2bdz4qbd0n3phWoqdQCYawMevSqfvPfLGp1tO/3Sxz7xt/ZiH/N97u1dtRf7Hsf+shf7iHeezea7nVq9J+3ya/bIR28/nTU2syctALWv+xp1s+wiVc909esW5IfR5dWvNWtckCnTK1Pyqz0aOrYuTMfWhXlr+H+8UJCUVySrLFmc70dX5PvRv+z1UF4RAJhv9Luvdz54+8UkVfuvd+j83/XyJcm3X3yUioryLLr0qn9prgDw33rq/l4Z9k7VuDd96pRZetgb/MFxb/q0ydl696PTsHHzJMnzj9yQ1u27/KU5A8B/w+98APxfc8+dN+etwa8mSaZOnZIuM+29N/sehTZt2uWTEcNmG9e6TbuMGzu6+rVxY0enVes2GfjC05k2dUpOOfaQ6vNXX3JO9tz34Cy5zPJZd4NN0nPnPZIkw4cNTfsOC8yzmgFgdgb1uyqfffDz/kTTJ6d1h1+e9yZP+Cn1GjZLnV89740f9VWmTByVTl2r9l5fZo0d8sJ9Z2Tk10MzYcw3GfjIhUmSqRNHp7KiPGWlM7LpbufVUEUAUKWmnvsA4P8nbz17db76qGq+S+n0uduj9uN3HklZ6bQ8eHWPVJSXprx0eh68uke2+Pu/0qhp2xrNHwB+z4BHrs7H7/88v2Xa5LRdYO7nt9zT6+C07tA1ex57e/X8liT54ethqSgvz4JLrDbvCwCA3/Fwn+vy3psvJUmmTZuSBf5j39lxY0al0Wz2JGrVun0+//iD2ca98/qL2f2A41Jcp06K69TJWhtunbdeez5LLLNySkqmZ8VV10uSdF1iuXTq3DWff/xBWrZuXwOVAsCcVUwcl+J2v/TdFTRulsrpU5Oykupzha07pLB1x5QNf/uXCwuSVJSnuOtymTHw4aSiPCkpT+lHb6XOYsun9N2BNVgFAMydNm3a5uMRw6uPx4ye/Z4Nc4p54flns/AiXbPwwv+eN1OZ4uJf1rkGgNpy31035u3BVXvFTps6NZ1/Ncez0WzmeLZu0z6f/mqO53/GvTbwudx83aXZ5x9HZ50NNquBKgDgz9lsleIsvVBRkqRe3eTHMZXVrzVtVJCp0ytT+qv1qtu3LEjHVoV555Nf1rYuSFJRUXXtCl2L0mPdOnnkldK892l5AGB+0KZNmwwf8XH18egxY9KkceM0qF9/rmJGjhyV/ff9e5o2aZIk6XvvfenY4Ze9Zwe+/Eo22XjDFP68bx8AzE/at2yeDz77uvp41LiJadqoQRrUqztT3A9jxuWoK27Nwh3b5l8n/iP169ZJkkyePj1H7LJVmjWu6n+45fHn07lt65orAAD+gPatWvxq3JuQpo0apkH9ejPF/Th6XI66/KYs1LFdrj/lkNSv+8u4OPzLb1NeXp6Vl+paY3kDwJ/RrnXLfPDpl9XHo8aOn8O4NzbHXHxtFurUPteeflT1uPf6+8PStXPHtGnZPA3r189ma62aF994tyZLAAAAAAAAAOAvNM+6Wrp3757LLrssyy677EwLBg0dOjQLLrhg/v73v2e55ZbLc889l/LymRtLX3311eyyyy7ZdtttM2PGjAwfPjwVFRVzfK+5uWfjxo1Tt27dDBtWtejDWmutlSlTpmTixIm/ee//tMYaa+S+++5LaWlppkyZkt133z3vvfde1lprrTzzzDMpKSnJ5MmTM2DAgBQUFMxybZ8+fZIkn376abbZZptMmzYtq6yySp588skkyWeffZYDDjggBQUFKSoqSnl5eRZZZJFMmDAhb731VpLkwQcfzLHHHpsWLVqkY8eOGTBgQJLkiSeemG3ORUVFKSsrm+V848aNs8ACC+SZZ55Jkrz33nsZPXp0FltssSRJ//79U1lZme+++y5DhgzJyiuvXH3tcsstl/feey+jRo1Kkpx//vl5/vnn8+qrr2a//fZL9+7d88UXX+Snn36a42e7xBJLZPTo0Rk+vGrhqX9/Bv/p4osvzmOPPZYePXrk9NNPz7Bhw+b4eYwfPz5ffvlljjjiiKy33np5/vnnU15enrKysmy22WZp0aJFDjrooGy33Xb56KOPssYaa+TRRx/NlClTUlZWlkMPPTRPP/107rrrrvTq1Svdu3fPGWeckbFjx2by5Mkz5dWlS5d8++23s+R77bXX5pBDDkllZVXzdEFBQQoKCjJjxowkqb5P8+bNZ/uZAPPOGssvlQ8++TJf/zAySfLgcy9nvVWWmylmyrTpOeicq7Lhqiv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QxgCw8KZPGZ+X7j892x1wQ/Y768U0bdk5bz995Vxxo74fnI9fuzO7Hd87+5z+TJq3WSzvPlt1/OeHr9yWn77+qLpSB4CFNmPq+Lz20Bn56z7XZ49TXkiTFp3z/nNXzRU35sfBGfDGndnxyAez20lPp2mrrvnwhYp278uPn8zEMd/mHyc+lV1PeCIjvvkw3wx8sbpLAYCFUlC/Yer/bY9Mf/LOTL3zkpRNGpd6G21fNahW7TTc5fDM6vdapt57RWa992IabLNPzSQMAAupoF7D1Nv8n5nx3D2Zdt8VKZs8PnXX32auuKJ2i2XGC/dneu9rMr33NZn5wv1JkpnP3zvn3GsPp3zWzMx84/HqLgMAftXkSRNyxw0X5KhTL8ulNz6aNm075uF7ei5U3FGnXpYLr30gF177QPY/8sw0aNg4ex9ySjp2XqLy/IXXPpAVVl0n6/7lr1lzvc2qu0wAmKdpU8bnqbvOyC5HXJ8jL34hzVp3zquPzv2db+zIb/LqI1dkj+NuyyHnPpENtz08D994TJJk18OvzyHnPpFDzn0i2+1zYerVb5Kt9zynuksBgN/kfScA/y+ZMGlyLrnh1lx0yjF5sNcV6dCuTW6696G54r774acce06P9H2vX5XzF51yTO6+5uLcfc3FOfWIA9OoYYOccMi+1ZU+ACyUiZMmp8cNt+TCU4/L/TdelfZt2+aWe3rPFffdDz/luHMuzhvvVm333nivXx597sVcc/4Zuef6yzNr1uz0eer56kofABbahMlTc/6tD+Ty4w7IY1eemY5tWqbnQ09VifluxKhc9+BTueGUw/JAj1NywA5b5eRrK/ZpeO3DAXnopbdy4+lHpM9lp2Xm7OI88Pzr8/pTAFDjxk+ZlnPufSZXHbJznjrv8HRs1TzXPfFalZgh3/+ce175IPectG8eO/uQdGndIr2efiNJ8sonX+TBvh/l1mP2zGNnH5pZxcW597V+8/pTAPCnMG3y+Dx2+5nZ/ejrctxlz6dF6055qc881m/5+du88NAV2fekW3PUhY9nk+0PywPXV4zrfOWx69OkRdscc8nTOfy8Pun3Wu98/9Un1V0KACyQqZPHp/ctZ2f/46/NGVc/k5ZtOuWZB6+ZZ+yon77OjRcdmIH9Xq5y/qO3ns7oEd/llMsfz8mXPpqvP/8oAz54qTrSB4C5TJo0MT2vvTQnn3Fhbrj1vrRt1yH33XXLAse8/PxTGfHTD7n2xrty2TW35JknH8mwoZ8nSW678ZpstuXWuarnHTniuFNz9aXnpbS0JEky9PPBOf3EI/LF53PvcQsANWXa5PF54s4z8s8jr8/RPV5I89ad88oj85jH/vM3ebnPFdnrhNty+PlPZKO/H56Heh1Tea1+w6Y5/PwnKn9WXu/v1V0KAPyqggaN0miH/TPloRszsedZKZswJg222LlqUO06abL38ZnxzguZdMsFmf7GM2m880FJksKWbVM+Y1om3XxB5c/sQR/UQCUAsGAmTJ6a8+54OFcetXcev/TkdGzTIjc8XHU+3nc/j8l1Dz2XnicekN4XHpeD/r55TrrhniTJVQ8+nQZ16+SRS07Mv84+Mu8MGpo3P/28JkoBgIUyfur0nNP7pVy133Z56vT90rFF01z3zNvzjB0+ZkKufurNlJdXc5IA8D8YP3lqzr3z0Vxx5B55oscJ6dS6Ra5/pOpeskO++yn3vPBW7j7jsDxy4XHp0rZlbnx8zrjOp9/pnwMvvS1jJk6u7vQBYKGNnzo95zzwQq46YIc8deZB6diyWa576s0qMUN+GJl7Xv8w9xy3Zx47ff90ad0svZ6r6Ate8fjraVCnTh4//YDcd/xeeWfIN3lj8Nc1UQoAzNfkSRNyy3UX57jTe+Sqmx9K23Yd0/vuGxcq7uH7bk2LVq1zea/7c+HVd+aV5x/Ll18MSpIM+3xQtt1xj/S4/p7Kn/oNGlZrjQAwL+Onzcy5T72TK3fZJE8euWM6NWuc617tP8/Y4eMm55pXPqrybe+Klz5Mgzq18tjh3XPvAdvk7a9/yptf/lBN2QPAgpk8aUJuvf6iHHd6j1x5U5+0adchD/2r1++Ke/rRezN0yIAq5778fFC23WGP9Lju3soffT4AalpBg8ZpstOBmfRAz4y/9vSUThidhn/dtWpQ7Tpptv9Jmf7Wc5nQ69xMe/2pNPnHYUmSyQ/2yoSe52RCz3My5fG7Uj5jeqY8fW8NVAIA8zZp0sRce83VOePMs3PrbXekXbv2ueuuuxY45p133s7TTz+Viy+5NDfddEtmz5qdxx9/PMXFxbns0ktyzLHHpmevm7Lbbrvnqisvr4kSAWC+Jkyekotuvic9jj8kD19zfjq2aZUbH3yiSszwESNzw/2P5brTj859l52Z/XfaOqdeXbGW5y19nkqbls3y4JXn5O6LT8tjL7+ZQV9+UwOVAMCCmTF1fF7tfUa23u/67HX6C2naonPefWbu9TpH/zA4n/S9Mzsf82D2OOXpNG3dNR88f12S5OuBL2XgW/el+2F3Zo9TnklJ8cx8+sbd1VwJAPw289gB+L9u0sSJuebqq3PmWWfltttvT7t27eb+zvcrMWeedVZ69uqVnr165ZhjjknDRo1yxJFHJkmmTJmSG264IbfcckssaQbAn9EfsU7n0x8Oyf69+mTM5GnVkDEA/LZJkyam17U9cvIZF+b6W+9P23btc/9/7Un7W3H/2Zf2mhvvzqXX3Jpnn3w4w4YOSXFxca6+7LwcdszJuarnXdl5t31yw1UXJ0l2/MdeubLnnbmy5505/9LrUrduvRx/2nnVWToAVDF18vg8dMtZ2ff4a3Pa1c+mZZtOefbBq+cZO+qnr3PzRQdkYL+Xq5z/6K2nMmbEtznp8idy4qWP5ZvPP8zAD16qjvQBYKFNmTw+9914dg468eqcc93TadmmU5564Np5xo788ZvccMFB+fSDqm3fqBHfpkGjpjn9iocrf9b6y7bVkD0ALJwpk8bnnl7n5pCTr8z51z+ZVm075fH7r5tn7M8/fpNrzz8k/d9/pcr55x+7PaWlpTnrqodz9lUPZ/bsWXnh8TurI30AAAAAAAAA/kCFNZ0Av+2DDz7I/vvvn0MOOSTbbLNNrrzyytx4443ZaaedstNOO2Xs2LFZZpll5nt///79s9VWW2X48OH/cy7Tpk3Lqaeemp122indu3fPM888kyTp0aNHTj755CTJ008/nX/+858pLS3Nu+++m+233z5///vfc+ihh2bq1KlVnrfZZpvlxx9/rKxz7733TpIMGTIkO+64Y3bcccf06jVnw7XTTjstjz32WH788cfssMMOOfnkk7Pddttl3333zcSJE5Mkzz33XP72t79lp512yplnnpnTTjvtN+vq06dPdthhh+ywww754IMPkiQ33HBDbrjhhrlyveiiizJ48OCcf/75ueiiizJ69Ogc+e+FQp544onsuOOO6d69e84444zMmjUrSbLuuuvmoIMOSvfu3VNcXLzQ/92B/92QAe+l61IrpG2HrkmSjf+6az546/mU//cKCEn6Pv9QNtxix6yx3pZVzi+9/OrZZpeDU1hYmMKionReYpmMGzuiWvIHgAX1/sAvsvwSXdKlfZskyc5bbJgX3vmoSptXp3atnHXw7mnVvGmSZLklumTcxMkpLinJwC+/TWFhYQ4+/9rsfuqlue2x51NaVlYjtQDAgnhv+Kgs365ZujRvlCTZZeXF8/wXP1Rp+2aXlGbo6In510df5h/3vJKTn34/P0+eniQZ+PO4FBYW5MCH3sg/730lt77/eUrLLAELwJ/HJ/0/Trell06Hjp2SJFtv+/e88fqrVdq6X4s5+NAjc8BBhyZJxo8fn+Li4jRo2DAjfvopDRs0zCqrrp4k6dS5S+o3aJAvPh9SzRUCwLy9N+TrrNC1Y7q2bZkk2XXjNfP8B4OqtIHLd+2Qpy48Jo3r18us4uKMnjglTRvWr7z+4dBv8+5nX2WXjdas9vwB4H/Rb8BnWW6pxdK5fdskyU5/3TQvvvXBXN/8Tj9837Rq3ixJsuySi2XcxEkpLi6piZQBYKEN/+LttOuyUpq3WSxJsvKGu+eLj56ea1xn2y4rZr+zX0zd+o1TUjwrUyeOSr2GzSqv/zDsgwz//K2svOFu1Zg9ACycH758J206r5RmrRdLkqyw3m4Z9snc7V7rTitm91PntHvTJo9K3X+3e+XlZSmZPSOlJbNTVjI7ZaXFKapdp5orAYCFU2uxZVM68vuUTRyTJJn16Tups9wac8WUTRyXkm8rxqyUfD0405++u7pTBYDfpajL0ikb/UPKJ41NkhQPei+1l1mtalBhUQpbd0idNTZJg91PSL2t90lBo2ZzxdTbcrfMeuuplE+dVD3JA8ACGvzp+1l8qeXTrkOXJMmmf9s57735wlzvNxckrqS4OLdfd372OPCEtGzdrsr9Qz/7JB+991r2Pfy314oCgOryzWfvpMNiK6Vl28WSJGtuslsGfzD3d75atepku30vTONmFWu9dFhsxUydNDalJbMrY0pLZufJO0/LVrudnqYt2ldbDQCwoLzvBOD/JR9+OijLdVsinTtUvKfc8W+b5+U3352rv/fY869kuy03yabrrz3P5xQXl+Ti62/JMQfslbatWi7yvAHg9+j36cAsu9QS6dyh4r3kDn/bIi+/+c5c7d7jz7+U7bbYNJusv06V8y++/lZ2675tmjRulMLCwpx0+IH56yYbVlv+ALCw3h/0730a2lV8u9tliw3y/Dsfz7Vmy9kH7Va5T8Pyi3fJuIlTUlxSkmff+jB7bbNpmjZqmMLCwpxxwD+zzYZr1UgtAPBb3vv826zYtX26tmmRJPnHRqvnuQ8/q7pmZ5f2eer8w/+9ZmdJRk+akmb/XrPzmQ8GZZ8t1knThvVTWFiQs3bfOtuts2KN1AIAC2LY4HfScYkV06rdYkmStTfbPQPee2ae4zp3PGDOuM6Oi1eM6ywpmZ1t9zwjf9vtlCTJlIljUlI8O/XqN67WOgBgQQ0d+G46L7FCWrev2It9gy3/mY/feXaee7G//VLvrLvZzlllna2qnC8rK83sWTNSUjw7JSXFKS0pTq3adaslfwD4bwP6f5ilui1buc/eX7ftnrf6vlKlbfu1mA/eeyubbbF1iopqpVHjxtlwo83y5usvJalo86ZNnZokmTFjRmrXmbNW57NPPZq99js03ZZerrpKBYDf9PVn76Tj4r+Yx77pbhn0/tzz2Itq18n2+809j72kZHZ++OqTFBYW5c4ee+bGc7ZP36d6paystLpLAYBfVXvJFVLy03cpGz86STLzo76ps9I6/xWzfEonjEnxsEFJkuKhn2bKw7dUXOu8VMrLytNk/1PS9PDzUn/j7ZKCguotAgAWwnuDh2WFxTunS7tWSZJdN103z7/3SdU5DbWKcvb+O6d1syZJkuUX75Sxk6amuKQkn3/3U7Zdf/UUFRamdq1a2XDlZfPqh4NqpBYAWBjvDR2eFTu3S9fWzZMk/9hg5TzX/4u53nnOmF2cM+5/ISd137gm0gSA3+39z77KCot3Ste2/+nvrZPn3/+06ly+xTrmyR4npnGDeplVXJzREyanaaMGSZLREyan7ydDcuMJ+9dI/gCwsN774rus2KVdurb5Tz9v1Tz38ZCqbV/ndnnqrIPSuH7df89jn5pmDSrmsQ/5YVS2W2v5f7/rLMpfVlgirwwYWiO1AMD8DPykX5botlzad+icJNli653yzhsvzvVe89fi9jnk+Ox5wNFJkonjx6akuDgNGjRKknz5+aB8NvDjnHb03jn/1MPy+eBPqrE6AJi/974ZkRU6tEzXlhVjV3Zdc5k8P/ibub/tFZfkzCfeyolbrlnl/Oc/j8u2Ky1Z0ecrKspfluqUlz8fXm35A8CCGPTJB1mi23KV+6zPr8/3W3FDBn2cgf3fz+Z/27HKfcO+GJTPBn2U04/ZKxecdqg+HwB/CnW6rZjin75N6bhRSZIZH7yeequsVzVmqRVTOm50Zn85MEky+/NPMunBXlUfVFSUJrsclCnPPZCySeOrJXcAWBD9+/dPt6WXTseOHZMk2267bfq+/lqVvt6vxbz26qvZaced0rhx4xQWFuaoo4/OZpttntq1a+eee+/PkksulfLy8owc+XMaN2lSIzUCwPx8MPDzLLfkYunSvmItsp223CgvvN2vSjtYu1btnHHIXpX78i23RJeMmzg5xSUlOWHff+SYvXZOkoydOCmzS0rS8N9jPgHgz+j7oe+kTeeV0qz1YkmSFTfYLV/2n3u9zjadV8xeZ7yYuvUbp6R4VqZNGpV6DZslSb746Mmsusn+qdewWQoKC7PprudnmTW6V3MlAPDbzGMH4P+6/v37Z+lffsPbbru8/vrrc33n+62Y4uLiXHXVVTn0kEPSunXrJMmbb76Zli1a5MCDDqrGigBgwf2v63SOnjQ1rw3+OjcdslO15QwAv2VA/35Zqtuyad+xYh2Wv267Q97q+/Jc7duvxfV7761susU2lfvSbrDRZnnz9ZdTu3bt3HrPY1liyaVTXl6eUSNHpFHjucd03nPHjVltzXWy+prrLvqCAWA+hg58N52XWDGt23dNkqy/5W7p/86zc7WJSfLOSw9mnc12zsrrbFXlfHlZWWbPmpGS4tkpKZmdkpLi1KpdZ677AeDP4IsB76Xrkiumzb/bvr9s9Y98+NZz82z73nyxd9bbfKestm7Vtu+boQNSWFiYa87ZN5ectHOef+Rme7ED8Kc0ZMB76brUCmn773Zvo7/umn5vPT/Pdq/vCw9lg813zOrrbVnlfLflVs82uxycwsLCFBYVpfPiy2T8mBHVkj8AAAAAAAAAf5xaNZ0AC2bAgAF59tln06xZs6y//vo59dRT89hjj+X000/Ps88+O9/7vvjii5x55pm5+eab07Vr1/85j5tuuikrrLBCLrvsskydOjW77bZbVllllRx//PHZcccd88wzz+Tqq6/O3XffndLS0px00km54447stxyy+Wqq67K448/noYNG/7m3zn11FNz2mmnZYMNNkivXr3ywQcfzLO2Sy65JMsvv3yOPvroPP3009l2221zySWX5NFHH03r1q1zzDHHpFGjRr/59xo0aJAnnngiX3zxRQ455JC88sor840966yz0rNnz5x77rn58ccfs88++6RXr14ZNmxY+vTpk969e6du3bq56qqrcscdd+SII47IhAkTcvDBB2edddb5zVyARWPC2FFp0apd5XHzlm0zc/rUzJwxLfUbVP3/xO4Hn54kGfLpe1XOL7/q+pW/jxs9Iq8+80D2OuzsRZg1ACy8UeMnpm3L5pXHbVo0y7QZMzNtxsw0+vcGHh1at0yH1i2TJOXl5bnmvsez0RorpnatWiktK8vaKy6To3b7e0pKS3PcFbekYf162WPrTWukHgD4LaOmzEi7fy9mniRtGtfPtNklmTa7JI3q1k6SjJk2M2t1bp0j1l8+S7Zskns/HpYTn3ov9++5WUrKyrNOl9Y5esMVU1JalmOfeDeN6tTOHqsvVVMlAUAVY8eMTqtWbSqPW7VqnenTp2fGjOlp0KDhAsUUFRXlqit65N2338y662+Yjh07ZdasmZk5c2Y+6f9RVlt9zQz78ot8//3wjB8/vtprBIB5GTVhUtq1mLNga9vmTTJ15qxMmzkrjerXqzxfu6gor336eS6456nUrl0rh/+94l3m6ImTc0WfF9LrmL3yyJsfVXv+APC/GDVufNq0bFF53Lpl80ybPiPTZ8xMw39/82vfplXat6nYGLK8vDzX3/1Q/rLmqqld27BQAP7/YcrEkWnUfM64zsbN2mX2zKmZPXNa6tavOq6zqKh2vhr4Sl5+8MwU1aqTXbc5JkkyddKo9H304ux4+O0Z9M5D1Zo/ACyMqRN/TqNmc9q9Rk0r2r3iWdNSp97c7d63g19J34fPSlGtOllrq4p2b5k1d8zXA17IPRdtnPKyknTqtkEWW36zaq0DABZWYePmKZs8sfK4fMrEFNStn9Spm8yeVRHTvHXKp09O/b/unsLWHZJZMzLjjadqKGMAWDiFjZulbMrEyuPyqZMq2rradZPiirauoFGTlP74VWa/90LKxo9K7dU2Tv3t9sv03tdW3ld7+bVTPm1ySr4ZXM0VAMBvGz92VFq0alt53KJVm8yYPm2u9VoWJO7NV55Msxatssa6c89bf+hf12fnPQ+faw0YAKhJk8f/nCYt5nzna9K8XWbNmHt8S7NWndKsVackFWM6X3ro0iy96qYpqlWnMuaTtx5N42ZtsuzqVTeDBIA/C+87Afh/yaix49OmZcvK49YtW8w1fy9JTjhk3yTJh58Omudznnm1b1q2aJ6N111z0SYMAP+D0WPHp02rX7R7rf7T7s1IwwZz1vE8/pD9k8zd7v0wYmQmTJyUk86/NGPHT8jKyy+bw/fdvXqSB4DfYdS4CWnbolnl8Zx9GmalUYOKtcvm2qfh/sez0eoV+zR8//PojF+yS46+7KaMmTApqy2zZI7ZffuaKAUAftPICZPTtvkv1uxs9p81O2enUf26lecr1uwcmvPvfza1axXliO02TpIMHz0+46dMz+E9H8yYiVOz+lKdc9yO5q8D8Oc1afzING3RvvK4SYu2mTVjambNnJZ6vxjX2bx1xzRv3TFJRb/v+Qcuy7KrbZpa/x7XWVRUKw/ffEo+++jFLLf6FmnVfvHqLQQAFtCEcSPTrOWcOQ1NW7TNzBlTM2vGtNT7r3l4O+9/ZpJk6MB3q5xfe+MdMuD9l3LekZunrLQky6y8flZcY5NFnjsAzMvYMaPTqvWcffZatmqd6dOnzb0X33xixo4dM9e14d9+nSQ56PDjc94Zx+fpJx7O5EkTcvwp56aoqGLPhhNOPTdJ8lif+xZ5jQCwoCbNZx77XO87W3VK81/MY3+x96VZZtWK951lZaVZYvn1ssUuJ6a0tCQPXHto6tZrlPW22rfa6wGA+Sls2iJlk+fslV42eUIK6zVIQd16KZ81M0lS1LJdyqZOSsPt902tdp1TNnN6pr/8yL8fUJjib4Zk+iuPpqCoKI33ODbls2Zm5vuv1EQ5APCbRo2fmLYtmlYet2nRNFNnVN2PvUPrFunQumKv2vLy8lz14DPZeLXlUrtWray4ROc8+27/rNJtsRSXlOTVjwenVlFhjdQCAAtj5MQpadtszrvNtk0bZ+rM2Zk2a3Ya1Zszv+HCh1/JLuutlG4dWtVEmgDwu40cP6lqf695k7n6e0lSu1ZRXu8/JBfc/Vhq16qVw3fcojL+qqP2qva8AeD3GjlhSto2a1x53LbZvPt5tYuK8trAYTm/94sV89i33jBJslLX9nnmwyFZdYmOKS4pzSsDhnnXCcCfzvgxo9Ky1Zw5Ci1atc6M/5rjsCBxRUW10uuq89Lvndez5nobp0PHLkmSxk2aZv2Nt8ra62+aoUMG5uqLT0mP6++t8iwAqAmjJk9LuyZz2rq2TRpk6qziTJtdnEZ15+y5d9Gz72WXNZZOt7Ytqty/UsdWeXbQ11m1c5sUl5bm1S+Gp1ahPh8Afy7jxo6e5z7r/93n+7W4WTOm597brskp512b1154vMrzGzVukvU3/mvWXn/TfPn5gFx98Sm55Lr79PkAqFFFTVukbNIv5/KNn2suX61WbVM2dVIa73hAarXvnPIZ0zP1xT5VnlN/jY1SNnliZg/pX635A8BvGTNmTFq3al153KpV60yfPr1KX+/XYn766adMnDQpZ599ZsaPG5cVVlgxBxx4UJKkVq1amTBhQo495qhMmjQ5p512evUWBwC/YdS4CWnbsnnlcZuW/9mXb2Ya/Xsv9g5tWqZDmzn78l1376P5yxorp3atinU5axUV5dyed+W1D/pn47VWTdcObef+QwDwJzF14s9p1GzOep2NmrbL7JlTUzxrWurUq7pHQ1FR7Xwz6JW81uesFBXVyTp/OyZJMnHMd5kxdVyeuuWgTJs8Oh2WWDPrb3dStdYBAAvCPHYA/q8bM3ZsWrX+5Te8VhXf8KZPT4OGDRc45qUXX0zLli2z/gYbVMZtu+22SZKXX365OkoBgIX2v67T2aZpo1yz/9+rLV8AWBDjxoxOy9/Yk/a34saO/e89a9tU7ktbq1atTJwwPqcce1AmT5qUE047r8rf/+H779Lv/bfT8/YHF1GFALBgJo77Oc1azhnf0rRF28ycMTWzZkxLvQZVx7fstP9ZSZKhA9+tcn6tjXfIgPdfzAVHbpay0pIsvfL6WWGNTRd98gDwO0wYN7JK29esZUXbN3PGtNT/r7bvHweekST5YsB7Vc6XlZZkmZXWTfc9jk1paUluvvSo1KvfMJtuu/eiLwAAFsKEcaPS/BftXvOWbTNz+rzbvd0PqpiXPuS/2r3lV12/8vdxY0bktWcfyJ6Hnr0IswYAAAAAAABgUbBD4/9PLL300mnfvn3q16+f5s2bZ7311kuSdOjQIZMnT57vfQceeGDWX3/9LLHEEn9IHu+++2569+6d7t27Z88998z06dMzbNiw1KtXLz169MhJJ52Ugw46KF27ds3QoUPTtm3bLLfcckmSE088MXvv/dsD6saPH5/Ro0dng38vwLHTTjvNM65ly5ZZfvnlkyTdunXLpEmT8tFHH2W11VZL27ZtU1hYmB122GGB6tpll12SJMsuu2xatmyZb775ZoHu+6UPPvggw4cPzz/+8Y907949r776apXnrLLKKgv9TOCPU1ZelqRgrvOFhUUL/azhXw/JFWcfkE22/mdWXnOjPyA7APjjlJeVz6PFS4oK5+7+zZg5K6dfd1d+HDUmZx28e5Jkx83Wz8n77ZL69eqmccMG2XObTdP3w4GLOGsA+P3KUz6v7l6KCuec7Ni0Ya7fcYMs1appCgoKsvca3fLjpGkZMXl6dlpp8Zyy6aqpX7tWGterkz3X6JbXvxpRjRUAwK8rK593W1f4i37egsScePLpua/3Y5k6ZXIeevC+NGjQMGecfX4efuiBHHPkIXnt1Zez8sqrVm4KCQA1raysPAXzaODm9a5zs1WXS9+rT81h222SI66/N7OLS3L67Y/mpF3/mtZNG1dHugDwhyorK09BwbzGucz7m9+ZV92UH0eOzumH71cN2QHAH6S8bJ79vnm1d0my1Mpb5PAeH2S9rY/OYzcdmJLi2Xnu7hOz8U6np1HTNvO8BwD+LMrnM5+hYD7t3uIrbpH9z38/a251VJ65/aCUl5Xlo5d7pX6jFtnvnLez95lvZNaMSfn0jTsXceYA8D8qKEhSPvf58jnnCgqLUmvx5TN7wLuZdt9VmdX/zTTc+dCkaOHn/QFAtZvHN70kSXnZnF8nT8iMp+9M2fhRSZLiT95IYdOWKWjSvDKmzqp/yewPX1mkqQLA71U+33EsRQsd9+LTD+bvux44V8ywLwZkyqQJWXejv/0BGQPAH6d8PuNb5vedb/as6Xn05uMyYcz3+fu+F1W59sErd2fDbQ9bJHkCwB/C+04A/h9SXl4+z6avsHA+7eF8PPTUi9l31+5/UFYAsGiUl5XNp91bsK2KSkpL8tGAwTn/5GNy25UXZ8rUqbntvj5/cJYA8McpK5/3GJaiefT5ZsycldOuvzs/jBybsw/eLUlSUlqaDwYNTY+j98+9F52USdOm58aHn13keQPA71E+n3ZvXu86N1t1mbxxxQk5fNuNcvgND6asrDwlpaV57/Nvc8WBO+XB0w7IpOkz0vOpvtWQOQD8PhXjOuc2v/eds2dNT+9ex2fc6OHZ4YALq1zb9bDLc3rPdzNj2qS8/sSNiyBbAPjflZeXzbPfN785DfPy4qM3pWGT5rng5jdybq9XM33qpLz+zN1/YJYAsODKy8t+c5+9X4spL6u6rmd5eXkKCwsze/asXH3peTnq+NNy2z2P5MLLrs8tPa/M2DGjF0EVAPDHmN889l973/nwTcdl/Ojvs/3+FfPY19j4H9lmz7NTp26D1G/QJOtttV++6P/yIs0bABZWQUHBvJenLpszh72gsCh1uq2UWR+/mUm3XpSZH7yWJnsemxTVyqz+b2X68w8mxbNTPnNGZr73Uuosu1o1VgAAC2f+cxrmsQ/trNk5tdf9+WHU2Jyz/y5JkhN22y4FBQXZ49zrcsL192TdFbqldlGtRZ43APyvyssz7/kNBXPawIfeGZCiwsLsuM6K1ZkaAPwhysvL5zmfYV79vU1XXz6vX39WDuu+eY686q6U/eJ9KAD8/8V81+ycx8nNVu6WNy45Kof/bf0cfvPDKSsrz4k7bJKCguSfl9+T425/POst0zW17U8LwJ9MWXnZPPdn+O+xnAsSd+SJ5+WW+5/P1CmT81jvO5Mkx59xadbZYLMUFBRk2RVWSbdlV8qgT/v9wVUAwMIrm0+fr+gXJx/66IsUFRZkh1W7zRV3wpZrpSAF2e22p3N8n9ez7uIdUrtowee/A0B1KC9bsPXK5heX8vL0vPKc7HXgcWneotVcl48/47LKPt8yy6+absuulMH6fADUtIKClJfPPZnvl3P5UlQrdZdeOTM+7JsJN56f6e+/kqb7nJD8Yt5C/Q3+mml9n66OjAFgocx/X4aiBYopLS3JJ5/0z+mnn5Frr7shU6ZOyT3/ursypnnz5rnn3vtz1dVX55prr85PP/64SOoAgN9jfu8y5zmHfeasnHHt7flh5OiceeheVa6df9T+efG2KzJ56rTc8ah9+QD485rvHg0F8x6jssRKW+SgC9/P2n89Kk/dclDKy8pSVlqSH4a+m7/te23+cfwjmTl9Yt5/7tpFnDkALDzz2AH4v26+Yzp/Mfd8QWIef+KJ7Lb77n98ggCwCFmnE4D/i+a3F8Pc67XMP27e+9LO6QM2a94it97zWC656sb0uqZHRvz0Q+W1Z594OH/bbsc0bNjoD6gGAH6/8opO31znC+azH+28vPTojWnUpEXOu/mNnN3rtUyfOil9n7n7D8wSAP445WVl816veiHavg222CX/OOD01K3XIA0aNsmm2+6dAf1e+wOzBIA/RkW79+vz2hfU8K+H5MqzD8gmf/tnVl5zoz8iPQAAAAAAAACqUa3fDuHPoHbt2lWOi4oW7CP/lVdemVNOOSW77rprll122fnGnXnmmRk8eHCS5KKLLspKK600z7iysrJcccUVWWGFFZIkY8eOTdOmTZMk3377bVq0aFH5nNq1a1cZoDBlypRMmzZtrmf+ZyOakpKSJBWTl3+5Oc38aq1bt27l7/+5p7Cw8HctXPXLv1FWVpZatWqloKCgyrOKi4t/9RmlpaXZeuutc9ZZZyVJpk2bltLS0srr9erVW+i8gP/NUw/emAEf9U2SzJw+LR27ztnAeOK40WnQqEnq1qu/UM/88O0X8sBtl2T3g07L2n/Z5o9MFwD+EG1bNc/gr7+rPB4zflKaNGyQ+vXqVokbOXZ8Trjy1izWoV1uOuvo1KtTJ0ny3Fv90q1rx3Tr0jFJxb/Xay1g/wMAakK7xg0y+OcJlcdjps5Mk7q1U7/2nFefw8ZMypdjJmXb5btUnisvT2oVFuTZId9n6dZN06110yrnAeDPonXrNvly6OeVx+PGjk2jRo1T7xfvNn8tpv/HH6brYounZctWqV+/fjbaeLO8+85bKSsrS/369XPJZVdX3nfYQfumfYeO1VMYAPyG9i2aZvB3P1Uej544JU0a1Ev9unUqz30/elzGTZ6a1ZbqmiTZYYPVcvH9z+Sz4SPy49gJufLhF5Mk4yZPTVlZeWYXl+TcfbpXbyEA8Du0a90iQ4Z9U3k8ZvyENG40j29+Y8bl5Euvz2Id26fneSen3i/aSQD4M3r32evyzeCKRVpnzZyaVu2Xrrw2ddKo1G3QNLXrNqhyz8QxwzNt8ph0XHLNJMkK6+6cVx86N6N+GJRJ437Im49fmiSZNnlsystKU1o8K1vucXE1VQQA89fvxevz3WcV7d7sWVPTst2cdm/a5FGpW79patep2u5NGjs806eMTfvF10iSLLvWznnz0fMya8akfDPo5fxlhzNTVKtOimrVyTJr7JBvBr2YVTc+oPqKAoCFVDZ5Qmq371p5XNC4acpmTEuKZ8+JmTY5ZeNGpXTk8CRJydeDk4LdU9i0VcrGj6r2nAFgYZRNmZhabefMUyho1CTlM6cnJXPWpihs2T6FrdqnZGj/qjeXVqxlUdiqQ1JYmNKfvgkA/Fk89sDN+aTfm0mSmTOmpVPXpSqvTRg3Jg3nsV5Ly9Zt882wwfONG/7N0JSVlmTZFVef6+/1e/vlbLDptgu1YSQALCp9n7g+Xw749/iWGVPTptOc73yTJ45KvQZNU+e/xrckyaRxI9L7hsPTqv2S2fukf6V2nTnrDv78/ZCUlZam6zJrL/oCAOB38r4TgP+XtG3VMkO+/LryeOy4CWncqGHqL8Qa8l9+811Ky0qz2grzX/cfAP4M2rZulSHDftnujV+odq9Vi+bZaN210rBBxXvRrTbeMHc/9NgiyRUA/gjtWjbP4K+GVx7/2j4Nx191Wxbr0DY3n3VU5T4NrZs3zaZrrZJGDSraym02WDO3Pf5i9RUAAAuhXfMmGTSPNTsbVFmzc3zGTp6W1ZfqnCTZYf1VctGDz2fy9Blp3bRxNl91mTSqX9FObrvWirnl+bertwgA+A2vPHZ9vvjk9SQV4zrb/nJc54RRqd9w3uM6J44bkfuuOSKtOyyRA0+bM65z2KC307bT0mnSvE3q1muYldfdNp999FL1FAMAC+D5h3tm8McVbd/MGdPSofOcvdgnjR+dBg2bpG69udu++RnY75XstN8ZqVWrdmrVqp21NuqeAR+8lE232++PTh0AflOr1m0z7Jf77I2bey++X4tp1bptJowfW3ltwvhxadmqTb4f/m1mzZqVNddeP0my9LIrpHPXxTNs6JC0at2mGioDgAXz2uPXZ+inc+ax//J955QJo1LvV953Pnjd4WnVYcnsd8qc950D3n0ybTsvm3adl0mSlKc8hUW1q6ESAFhwpZPGp1bHxSuPCxs3m3t96ikTUzpmZEp++jZJUjz002T7fVPUvHWKOnRN6agfUzrqx4rggoKUl5VWZwkAsFDatWyWwd/8UHk8esLkNGlYv8p+7Eny87gJOe7af2Xx9q1z62mHpl6div7c1Jkzc+w/tknTRhX9wzuefi2d27asvgIA4Hdq16xxBg3/ufJ49KSpaVK/bhrUnfPO8sl+n2VmcUn+ceV9KS4tzax//97z4B3SpmmjmkgbABZYu5ZNM+g3+nvfjxqXcZOmZLWlF0uSdP/LGrn4nicyefrMNGu04GM/AeDPoF3z/+7nzWMe+5gJFfPYl+yUJNlh3ZVyUZ+XM3nGzMyYVZzjt984TRtWjBG9/aX306VVs2qtAQDm5eH7bk3/fhVrq0yfPi1dFluy8tr4cWPS8L/mOCRJq9bt8vWXQ+YZN6D/++nSdck0b9k69eo3yPobbZl+776eaVOn5OXnHk33XfdNQUFBxY3l5alVVGvRFwkAv6F9k4YZ/NOceXqjJ09Pk3p1Ur/OnG97Tw34KjOLS/OPW59KSWlZZpVU/N5z9y1SWlaW47ZYI03/vXbZ7W8PTOcWjau9DgD4b4/cf2s+7vdWkmTG9Gnp3PW/+3xN5urztWzdNl99+dlccT/98G1Gj/op9915XZJk0oRxKSsrS3HxrOyx/zF55blHs/0v+nzl5UlRUdGiLhEAflXpxHGp3XmJyuPCJs1TNn1q1bl8kyekZMzPKfmxYr/Z2Z9/koId909Ri9YpHfNzarXvkoLCwhR/+7ojcbwAATU4SURBVEW15w8Av6V169YZOnROGzVu7Ng0atQo9X6xF9+vxbRo0TLrr79BGjRomCTZdNPN8uADD2TatGkZMODTrL/+BkmSpZbqliUWXzzfffddOnbqVE3VAcCva9uqRQZ/9V3l8ZjxE+e7L9+Jl9+YxTq2y43nHF+5L9/7A4Zkyc4d0rpFszSoVy9brb9WXu/3SXWWAAC/6YPnr8+3n1Ws1zl75tS0bD9nvc6pk0albv2mqf1f63VOHDM806eMTYcl1kiSLLfOzun7yHmZOWNSGjZpnSVW3jJ16lXMY19mje3z4Us3VlM1ALDgzGMH4P+61m3aZOjQoZXHY+f1ne83Yr7+6quUlZZmpZVWqr7EAeAPYJ1OAP6v6H3vHfnog3eS/Ge9ljlzF8bPY0/aJGndum2GDR0yz7i596Udm5atWmfatKkZPKB/1ll/oyTJEkstk65LLJXvv/s6HTp2Tmlpad5/941cft1ti7JcAJivFx6+IZ99/HqSZOaMaWnfuVvltUnjR6d+wyapW2/Bv98N6vdKdtzvjNSqVSe1atXJmht1z8APXs4m2+33R6cOAL/LMw/1yqCP+iZJZs6Ymg5dqrZ9DRay7ev35tPp2HWZdOz6nzGi5SmqZY1OAP4cnup9Ywb+p92bPq1Kuzdx/Og0aNQkdf/rPehv+fDtF/Lg7ZdktwNPy9p/2eaPTBcAAAAAAACAalJY0wmwaK233no58cQTc9ZZZ6WsrGy+cRdffHGefPLJPPnkk7+6+MW6666bBx98MEkyevTobL/99vn5558zatSoXHvttXnooYcyZMiQvPHGG1l88cUzbty4fPXVV0mS22+/vfLe/2jevHnl9VdffbXyXIcOHdK3b98kyTPPPLPA9a6++uoZNGhQRo8enfLy8jz33HNzNt7+FU8//XSSZNCgQZk2bVq6du1aJbeBAwdmzJgxSSo2cispKUmS1KpVq/L3ddZZJy+//HLGjRuX8vLynHfeefnXv/61wLkDf7ztdz8iZ1/VJ2df1SenXnpvvvlyYEaNGJ4kefOlR7LKWpss1PMGfPhGHrrjshx79k0GTAHwp7XuSstm8LDh+f7n0UmSR199OxutUfXf+NNmzMyhF96QTddaJZccs1/lph9J8vWPP+eWh59LaVlZZs6enT4vvZUt11u9WmsAgIWxbtc2GTRyfL6fMDVJ8sjAb7Lxku2rxBQUJFf0HZCfJk1Lkjw88Jt0a9UkbRs3yNfjJuem94aktKw8M0tK02fA19lyGZs7AvDnsdrqa2ToF59nxE8/Jkmef+7prLPu+gsc8/Zbb6T3A/emvLw8xcWz8/Zbb2TlVVZNQUFBzj/3jAz7smLh9LfeeD2169TJYosvEQD4M1hv+SUz8JsfM3zUuCTJI29+lE1WWbZKzNhJU3PqbY9kwtSK/t5zHwzMUh3bZLWluuTFS09In7MPT5+zD88uG62ZrdZcIefu073a6wCA32PtVVbI4GHf5IefRyVJHn/pjWy01mpVYqbNmJEjz708m6yzei484bDU+8WmkADwZ7X+tsdmr1OfzF6nPpndT+iTkcMHZMLo75IkA9/unSVX2nyue6ZOHpPn7j4hM6aOT5J88dHTadm+WzousUYOvuCNyuetvMFuWXr1bbLlHhdXZ0kAMF9r//WY/OOEJ/KPE57ITkc/lFHfD8jEMd8lST57r3cWW2Gzue6ZNnlMXr7/hMyYNiFJMqz/02nRrlvqNWye1h2Xz1cDXkiSlJYW57shr6dtl1WrqxwA+F1Khn+RovaLpbBZ6yRJnVU2SMnXg6vGfDMkBU1bpLBtxdjNok5LJilP2aRx1Z0uACy00u+HpqhdlxQ0bZUkqb3iein55rOqQeVlqbdR9xQ0aV4Rs9J6KRs7MuXTJiVJijoukZIfv6rWvAHgt+y0x2G58NoHcuG1D+Tsy+7K10MHZ+SI75Mkr7/4aFZbe6O57llx1XV/Ne6LwR9nuZXWmudaUF8M7p/lV15rEVUDAAtnkx2OySHnPpFDzn0iB5zxUH76ekDGjfouSfJx395ZZtW5v/PNmjk191yxT5ZdfcvsfOjVqV2nXpXr3w/9MIstu+4CrYkIADXF+04A/l+y9qor5rMvv8oPI0YmSZ548dX8Ze2FW3Pz08++yBorLa+vB8Cf3lqrrpQhQ4flhxE/J0mefPHVbLj2Ggt8/ybrrZPX33k/s2bNTnl5ed764KMs2806ZQD8ea270rIZ/NV3+X7kf/ZpeCcbr7FilZhpM2bm0It6ZtM1V06Po6vu07DZ2qvmlQ8+yczZFW1f348GZfklulRrDQCwoNZbfokM/HZEho+uWJPl4bf6Z5OVl64SM3by1Jx65+OZMHV6kuS5foOzVIfWadaoQbZYbdm81P/zzJxdnPLy8rw+8Mus0LX9XH8HAGrSFjsdk6MufDxHXfh4Dj2nd374ekDGjvwuSfLhaw9l2dXmMa5zxrTc0WPfLL/GlvnnEVXHdQ7q93xee6JXysvLU1I8O4P7PZ8lllunusoBgN+09a5H5eRLH83Jlz6a4y64P98NG5AxP1fsxf7uKw9lxTXnbvt+TafFl8un7/977bKS4gz++PV0XWqVPzxvAFgQq66+Vr4cOqRyn72Xnnsqa627wQLHrL3uBnn15edSWlqSaVOn5O03Xs3a622Y9u07Zvr0afliSMX6ZiN//ik/fP9dFl+yWzVWBwC/bbMdj8nh5z+Rw89/Iged9VB+/GbOPPaP+vbOsvOaxz5jau6+bJ8st8aW2fWwqu87R/80LK8/cX3KykpTPHtm+r16f1Zce+vqKgcAFkjx15+lVqclU9iiTZKk3pqbZPYXn1aJmf3VoBQ2b5Wi9l2TJLW6dktSntKJY1KrTcc02LR7UlCQ1KqdemtvltmDP6zmKgBgwa234tIZ9PX3+X7k2CTJo6+/n41XW75KzLQZs3LIpbdmszVWyKVH7Jl6dWpXXnvk9Q9y0+MvJUnGTZqSJ978MFuvu2q15Q8Av9d6y3TNwOEjM3xMxd57D787MJusuGSVmAeO3yOPnbJP+py0V3oevEPq1q6VPiftlTZNG9VEygCwUNZboVsGffN9ho+q6O890rdfNll1uSoxYydNzmm39M6EKdOSJM+992mW7Ng2zRo1qPZ8AeB/td6yi2XgdyMyfPS/+3nvDMgmKy5VJWbs5Gk59V9Pz5nH/tGQLNW+VZo1rJ+H3/k0vZ5/J0kybvK0PPb+wGy9RtW2EwBqwq57HZIe19+THtffkwuuvC3Dhg7OzyN+SJK8+vzjWWOduffmW2m1tecb98Hbr+bRB+9IeXl5iotn5/23X80KK6+R+vUb5OVnH82H7/ZNknz39dB8PezzrLz6utVTKAD8ivWW7JCBP43J8HGTkySPfDw0myzTuUrM/Qdul0cP654+h2yfG3bfInVrFaXPIdunTeMGefjjL3Nj30+SJOOmzsjjnwzL1itarxqAmrfLnoekx3X3psd19+b8K27PV7/YZ72iL/eXue5ZabV15hnXbdmVcsOdT1U+b/O/7Zh1N9wiBx99ZkWf77lH8+F7ryep6PN9M2xIVlljveorFgDmYfZXg1O785Ipatk2SVJ/7U0z6/NPqsZ8OShFzVulVoeKuXy1F1s6KU9KJ1SMiam9+LKZ/c3n1Zs4ACyg1VdfI0O/+CI//fRTkuS5557Nuuuut8AxG2y4Yd5+683MmjUr5eXlef+997L00kunsLAw1157TYZ8VrGP+/Dh3+WHH3/MMssuU43VAcCvW2fl5TL4q2/z/c8V+/I99spb+cuaVdeYnjZjZg6/4OpsuvaqufjYg6rsy/fKex/n9kefTXl5eWYXF+eV9z/Omito6wD4c1ln62Oy20lPZLeTnsguxz6UkcMHZOKY75Ikg9/tncVXnHu9zulTxuTFe0/IjKkVcx++/PjptGjXLfUbNs+Sq/w1X336Qkpmz0x5eXm+GfRq2nReca5nAEBNM48dgP/rVl999XxR5Rvec1l3vf/+zvfrMYMGDcrKq6ySgoKC6kscAP4A1ukE4P+K3fY+MFf2vDNX9rwzPa6+OcOGDsnPP1Wsw/LSc09mrXU3nOueVVZfa75xa627YV77xb6077zxatZe7y8pLCzMjddemi+GDEqS/DD824z44ft0W6Zir4fvv/smjRo1Tpu27aujbACYy992PTonXvpYTrz0sRxzwQMZPmx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VFVl77bVz9DHHpEOHDqVoEQCW66ueW92/59mZ9uGnZ7lMn7r0LJdTu15Zl20AwEoZ+9ykXH3TbZ/u5TvhyOXv5et/TTpsuEEO/e2eST7Zy3ftyE/38m3z/Zxw2CH28gHwjTJ+/LMZMXzpPOZGG2+cU045dZk1vxXV3HvvPXnwgfuzuHqu89Q0bLha5s2blyGDB+Xtt9/OkiWLc/DBh2SXXXcrRYsAsFzPTngu1424Yel63kYb5fSTOy33zM7L+/TLxhu1z0H7/7b6+vz583Pa2V1y+sknZovNNq3D5ACw8iY/91T+dsOA6vcvHNGpW61re8urq6yoyI1De+X1lycmSb677fY5+C8np169enn1pefy1+FXpaKiPA1XWz1/OPKMdNj8O3XdIgDU6qXnn8joG/unvHxJ1m+/Wf58fPdax8Bk6X3f8AHdsv6Gm+VX+x6WJFmyeFFuvvbSvPnPl1NVVZWNN/9ufn/kOVlt9TVq/Q4AKIVivZvvlC69M3/enNw49PK8/85/smTJ4uxz4BHZfuc967I9AKjBuAcAAAAAAADA5xVKHQC+6e66664MGzYshx9+eEaPHp0xY8Zk7733LnUs4AvMnTM71/S7KKecc2muGPzXtGrTNreOGPil6u65/Ya8PmVyjWvDh/TKTrvtk0uvuiFHn9Ql/Xp1SUVFeVF7AoCV8dGcOenVb1AuOOeMjBzcL+u1aZ1rRty0TN1b77yb07tekCfGPlPr99x8+115ccqrxY4LAF/Z7Lnzc8G1t+byE/+cOy47K+1aNkv/v/69Rs2bH0xL31vvS/8zjszNPU5Lx9/smjP6jUySXDnq7jRaY7XcdukZGXFep4x98fU8MWlKKVoBgOWaO2d2hvS9OKeec3H6XH1LWrVpm5uHD16lutF/HZGKior0GjAyvfqPzJIli3PnbUvHw8F9LkqzFq3Ss9/wdLnoqoy4um9mzphWpz0CQLJ0frN3nz7p2qVLrh06NG3atMmwYcNWuqZrly4ZOGBABg4YkJNOOimN11orJxx/fJJk4MCB+dWvfpWBAwbk1FNPzSWXXpqKioo67xEAlmf23Hm58Oobc9mpR+b23udl/VbNM+Dmu2vUvPn+1PQbdWf6nX18RvU8Jx332z1n9bm2+nfrNG6UUT3Pqf7ZY4cflaIVAFiuuXNmZ3DfS3LaORel79U3p3Wbthm1nLnOFdU9/vCYdD+7U2bPmlF9rbysLFdddl6OPrFzLh8wIvsffFgG9O5RJ30BwBeZN2dWRgw4P8eceUUu7H9XWrRul9E3XlVr7Qfv/jt9uh+dieP+UeP632+/NpUVFenW+7ac1/u2lC1enPvvuL4u4gPAKpk9d34uGPrJc529Oqddq2bpf+t9NWre/GBa+t5yb/qfeVRuvui0dNx3t5zRb0SS5L6nn89bH0zLrZeckZsvOj0TX/tX/jHhxVK0AgBf6Kuu8f3XyLsfyqTX/lWX0QFgpcyZ81Gu6nNFzulyXoYMHZY2bdbL8GHXrXTNu+++kyaNm6TfgKurf36x865Jknnz5mZg/74ZevWgVFVV1XlvALAyvo51vpeefzI9z/5Tpr7/Zh0kBoAvb/bc+bngmlvS66S/5I7Lz8n6rZplwK331qh584Npuerme9L/rGMy6uIzcsS+u+XMfkv39vU66S8ZdfEZGXXxGenS8Xdp0mjNdD5s/1K0AgC1WrpHvW+6dTk31w29Justdx977TUPP/JI3n333QweNDCDBg7Iiy+9nCefeipJMmXKqznwgP0zaMCA6p9GjRrVeY8A8F/GPQD+l8yZ81H6fvLsytVDr1/u8y3Lq3n33XfSuHGT9B8wpPpn50+eb+nT+4q0aNEy/QYMzkWXXJarrx6UGTOm13mPAPBVNP5Wh/zkwRFps/+vSx0FAFbZnDkfZUDfnjnz3B7pf82Nad2mbW4cdvVK1zw05u68/9476TtoWC7rc3Xuvetv+efrr2aDDTfKlQOuq/75/jY/yg477Zrttt+xFG0CwHLNnzsrt1zdLYef2jfn9r43zVu1y70396m1dup7/8qgizrmxfEP1bj+3JP3ZNr7b+asXqNzZs/b869Xn8vkZx+si/gA8IXmzpmda/v1yIln98xlg/+Wlm3Wz19HDlyluufGPZqH7vtrzrpwQC7pf0vKlizOA3fdnCT552svZo/f/iE9+t5U/bNmo7XqtEcA/ncVa34zSV5/9ZX8Zv+Da8xzrvnJs5xvvPZKelzWr/r64Ud3qtvGAeBzZs2dn/Ovvz2Xn3Bo7rz0tLRr2Sz9/vZAjZopb76Xkfc/meHnHpu/9TglG7ZunkGjP53rvOfpienYc2imfzS3ruMDwEqZO2d2rut/YTp1viw9B92eVq3Xz20jB6xSXafOl6VH31Hp0XdUDj+hSxqt1SR/OvqsrL9Bh+rrPfqOylZb/yTb/fzX+eFPd6nrNgFgGR/NmZPLrxqQ7uecmRFD+me9Nq1z7fAbl6l76513c0bX7nny6XE1rt/019tTUVGRof17Z2j/3lm8ZHFG3XZHXcUHgJWydE3vspx57oUZcM0Nad2mbW4Yds0q1Tz68APp2vmkzJr56XvYFy9enFEjr82VPS9IRWVFnfUDACtr9py5uaT/NbnorJNy88DL07ZNqwy+4dZl6t58572cfN6leWzc+BrXH3j8qbz93gcZ0ffSDO9zcSa98loeHTt+mb8HgG+K+XNnZdTgbjnitD7p0veeNG/dLneP6ltr7Yfv/jsDexyZyc/W3Ms3+dl/5Mn7R+X4bkNz9pV3pmzJ4jx638g6SA8Aq2bWvI9z/og7c/mxB+fOHielXcum6XdHzffuTXnr/Yx8aGyGdz4yf+t+QjZs1TyD7nokSTLo7kfSuuna+Vv3E3LTuUfntsefy+R/vVOKVgBguebOmZ3BfS/JaedclL5X35zWbdpm1PDBq1z3+MNj0v3sTpk969O1vnYbbpxe/YdX/3zvBz/K9jvtlp/8bKc66Q0AVtbsufPT/brbckWnP2V0zzOzfqtm6X/bmBo1U958NzeMeSLDuh6f2y4+benevjseWM43AkDdK+b5LUMH9ckuv9wjVw64Lsef0jm9e3ZPRUV5pn74QUaNvDYXXdYvfQYOS8vWbXLrTcOWyQYAxTbno4/Sp3fvdOnaNUOvvTZtankn7Ypqnn766dxz99255NJLM3jIkCxesiSj77wzH3/8cS6+6KJ07NgxgwYPzgmdOuXSSy5J2ZIlpWgTAGr1dZxbfeLZPavPpP7vWS5/Puasum4FAL7Q7Dlzc8mAobnozBNz84Beadt6OXv53n0vJ5/fM4+Nm1Dj+gOPP710L1+fSzK890VL9/J9rgYASmnOnI/St0/vnNulW64Zel3atFlv2bnOFdQ8/fRTueeeu3PxJT0zePDVWbJ4SUaPHp0k6d37ijRv0SL9BwzMxZdcmiFXD8mMGdPrvEcAWJ6P5szJFX3757xzOmfY1YOyXpvWuW74svvP33rnnZzV5bw8+fTYGtefnfBcTjz9rLz77nt1FRkAVtnS9y9ckBM698qlg+5IyxW+p6H2urGP/T0fvPdWelx1Sy7oe3Nef2Vinhv7cMrLyjL4inPylxO65MK+N2efgzpmaN/z6rpFAKjVvDmzMmLA+TnmzCtyYf+70qJ1u4y+8apaaz9499/p0/3oTBxX83yXv99+bSorKtKt9205r/dtKVu8OPffcX1dxAeAlVLMd/MlybX9Lkiz5q1zYZ+bctYFA3PTtVdk1oypddojAPyXcQ8AAAAAAACA2hRKHQC+SYYMGZI999wz++yzT3r27JmuXbtm6tSpOeGEE3LsscemqqoqBx10UGbOnJk+ffrkd7/7XX7961/nT3/6U2bMmFHju8aNG5f9998/+++/fw4//PDMmjWrRF3B/6aXXng2HTb7dtq03TBJstse++fpxx9IVVXVKtVNeen5vDjxmey6+341/q6ysjIfz5+bJFm4cEEaNlyt2C0BwEqZ8MKL2WKzTdKu7XpJkn33+FUefvzJZcbAO++7P3v+atfstP12y3zHpJdeyYSJL+Q3u/+qTjIDwFcx7uU3smWHDbJhm5ZJkgN3+WnGjHuhxti3WoMG6XbEQWm57tpJki033iAz58xLWXl5Xnvz3ez5s21Tv1BIwwYNssP3v5WHJ7xYkl4AYHlenDg+m2z27ay3/gZJkl/uuV+eeuzBZe71VlT3ra2+n/0OOSyFQiGF+vWzUYfNM2Pah5k/b25enDQhB/7+iCRJ8xat0qP3NWnceO26bRIAkkycODGbb7551l9//STJ3nvtlUcffbTGmLcyNWVlZbnyyitz9DHHpGXLpfeLlZWVmT9/fpJk4YIFWW0163sAfLM88+Jr2bJD+2y4XqskyQG//Hnuf3pCzbnOhg3S9ahD06LpOkmSb3fYMDM/mpuy8vK8+Ma/UygUclT3Pvn9WZdk6O1jUlFZWZJeAGB5Jk+cUMsc5kPLzHWuqG7WzBmZ8MyTOffCK2v8TYOGDTN4xJ3ZeJPNU1VVlWkfvp8mTdapm8YA4AtMmTwu7TfdKq3btk+S7PTrg/Lsk2OWGQOT5LExt2aH3fbLtj/9ZY3rm2+5TfY88Kjq9b4NOmyRmTPer5P8ALAqln2u82e1P9fZ8bPPdbarfq6zsrIyCxcvyZKy8pSVl6esvCKrN2xQkl4A4It81TW+JHl+yhsZN/nV7L/bDnXfAAB8gRcmPp/NNt88bddvlyTZY6998vijD9cY61ZU89qUV1KoX0jnM0/NiccfnZtH3ZCKiookyVNPPJ5mzZvn8I5H131jALCSvo51vkf+fnOOOPnirNO0RZ1kBoAv65mXXq+5zrfr9hkzduKy63xHHpwWnz2/5aN51fOdSVJWXp7uV9+c0/+4b9o0b1q3TQDACizdo75Z9R71vfbaK488+lgt+9hrr6msrMyiRYtSVlaWsrKylJeXV+9Xf/XVVzNp8uQcd0KnnH7mWXnppZfrvkEA+AzjHgD/SyZOfD6bbb5F9Zi2515757FHH/ncuLf8mlenTEmhfiFnnXlaOh1/TG4edWMqKioyb97cTHphYn5/6B+TJC1atEzv3v3SuHGTum8SAL6C9sf9Ie9cf1s+uP3+UkcBgFU2eeKEbLrZt6r3K/x6r33z5GP/qHHPt6KaZ8c9mV122yP16zdI4yZNssOOu+SJRx+s8W9MeXlyxj31eI7pdHrdNQYAK+n1F8dmgw5bpeV6S/c0bP/Lg/P80/fVuqfhqQdvyXa7HJDv/6Tm+2crKyuyZPHClJctSXl5WSrKy9Kg4ep1kh8AvsjLLzybDptumTZtN0yS7LL7ARn3+P3LjHUrqnv60fuy+76HpnGTdVIoFHLYcWfnZzvvkST5v9dezJQXn0vXkw/NxecclddemVi3DQLwP62Y85uvv/pyXpr8Qk7rdES6ntUpr7w8OUky9cMPsnDhggzud3lOPf4vGdDn0sybN7eOOweAmp555f+y1cbt0r710nNXDtr5JxnzzKQaY+KWG62fuy49PU0arZHFZWWZNntu1mncKEkybfbcPPbClAw67fCS5AeAlfHypGey8WfmMHfe/YCMe6KWuc6VqCsvK8u1V12QQzueluYt29T4+9dfeSHPjXskhx13dpE7AoCV89wLk7PFZpumXdu2SZLf7PHrPPz4k8uMgXfdNyZ7/nK37Lj9T2tc/95WW+YPBx+YQqGQ+vXrZ9MOHTJ1+ow6yw8AK2PS59b0dt/rN8us+62oZtbMGRk/7qmc1+Pyz33v+CxatCgnnnZO3TUDAKtgwqSX8u3NOmSDtkvnKffbfdc89MTYZe757hjzj+z9y19k55/9uMb1pe+kXZyy8rLq99KutlrDOssPAKvqtcljs+EmW6XVZ/fyPbW8vXw3Z7td9s/W29V8P9GEJ+7OznsflrUaL93fcPBR3fKjHfepk/wAsCqemfKvbNW+bdq3bp4kOWinH2XMsy/WfLazfdvc1eOkT5/t/OjTZzvPOniPnHrg0j3t0+fMS1lZeRqvaf86AN8skydOyCabfTvrrb9BkuSXe+6Xpx57aJn7vBXVzZo5IxOeeTLnXnjlcv+dV1+enGeffixHnnBm8ZoBgC9p3Mv/zFYbb5AN2/x3b992GTPuhc/t7WuXOy87M00arZnFS/67t2+tUkUGgGUU8/yWysqKfDx/fpJk4cKFafjJO/oqKytSUV6ehQsXpLKyMksWL6r+HQDUpaXvm9380/fN7r13Hn300VreSVt7zcMPP5z99t8/TZo0SaFQyImdOmWXXXbJe++9l0aNGmXrH/wgSbLBBhukUaNGefW11+q+SQBYjq/j3Or/Ki8ry9C+F+TQjqemecvWddcEAKykCZNezrc3/exevl3y0JPjatnL93D23m2nldvL19BePgC+OSZOnJjNPjuPuddeeezRR5aZ61xezSMPP5z99/t0rrPTiSdml112zbx58zLphRdy6KF/SJK0aNEyfXr3TePGTeq+SQBYjucnTsrmm22adusvPbNznz13z8OPPbHMPd/d947JHr/aLT/f4Wc1rt95z305+/RT06xZ0zrLDACr6pXPvX9hl90PzDNPjFlmvFtRXWVlRZYsWpiy8rKUly1JRXlZGjZcLQ0aNkzv68akfYdvpaqqKtOnvpe1mqxb1y0CQK2mTB6X9ptuldZtl55bttOvD8qzTy47BibJY2NuzQ677Zdtf1rz3LLNt9wmex54VAqFQgr162eDDltk5oz36yQ/AKyMYr6bb/68OXll8vjse8hRSZJmLVrnvF7DslaTdeqoOwCoybgHAAAAAAAAQG0alDoAfFM8/vjjeeSRR3L77benYcOGOfHEE7PDDjtk7Nixueaaa9KuXbtsscUWueuuu/LWW2/l3//+d2655ZYUCoWcddZZufvuu3PEEUdUf9+gQYPSvXv3fO9738vQoUMzZcqU7LDDDiXsEP63zJwxLc1afHpIa7MWrbJwwcdZuHBBGjVaa6XqFi9ckBuG9slZ3fvmkftH1/j+vxxzRi7u2ilj7r4lc+fMzoln9Ej9+oZVAEpv+owZadWiRfXnli2a5+MFC7Ng4cKs1ahR9fWTjz0ySfLcC5Nr/P2MmbPSf+iw9OreJffc/1DdhAaAr2DqrI/Sptm61Z9bNVsnHy9clI8XLU7jNddIkrRt2SxtWzZLklRVVaX3qLuz0w+2TMMGDfKdTTbM38c+n+9vtlHKysvz8HMvpUH9+qVoBQCWa+aMaWneolX15+YtWi53vnN5dd/f5ifV16dP+zBj7r41R3bqnA/ffzdNm7bIfXfekknPP5PysiXZe79D03b9DeumOQD4jBnTp6flZ+Y3W7RokQULFtSY31yZmgcefDDNmzfP9j/79ED0E44/Pmefc05Gjx6dOXPm5OzOnVPf/R8A3yBTZ85O6+brVn9u1WzdpXOdCxelcaM1kyRtWzZP25bNkyyd6+xzwx3ZcdvvpmGDBqmoqMyPv7NFOv1+35RXVOSUXkOy1ppr5NA9dy5FOwBQq5kzpq7kXOfy65o1b5EzulxS6/c3aNAgH82elbNPPiLz5s7JKZ0vKF4zALAKZs+YmmYt2lR/btq8dRYtmJ9FCz/Omo0a16j9/VHnJEmmTBpX4/qWW3863zlz2vt5+N5R+eOx3YqYGgC+nKkzv8xznfdkp22WPte5z89/lH+MfzF7nNwjFZWV2e47m2fHH2xVilYA4At91TW+6bM+ypUjbk+/s4/PHQ8/VYoWAGCFpk+fnhYtWlZ/btGiZRYsWFBjfW9FNRWVldl6621y2OEdU15ekQvP75JGjdbKvr/dP3vstU+S5B8PPVC3TQHAKvg61vlO7jao+EEB4GswddZHn5vv/OJ1vj6j7sqO22yVhg0+PYfzrseeTcuma2fnH36vTvMDwBeZPn16Wn5mLrNlLXvUV1Tzy912y5NPPZU//vnPqaiozDY/+EG2+8nSs1yarN0kO//iF9lh++3zypQpueDCHhk0cECNPfEAUJeMewD8L5mxEs+3rKimorIiW2+9Tf5y+BEpL6/IBed3TaNGjfKtb2+Zps2a5c7Rt+f55yakrKws+x1wYNZv167OewSAr+KVk3skSVr8cvsSJwGAVTdj+rS0aFnzLLIFnzuzbEU1M2ZMX+Z3b/3nXzX+jZHXD8mhfz6yxhloAPBNMXvmh1m3+ad7GtZp1jqLFs7P4oUfZ43P7Wk44PAuSZLXXxxb4/qPd/ptJj/zYLqfsGsqK8qzxfd+lu9s+4uiZweAlTFrxtQ0+8wZ1M1atMrCBR8vs39vRXUfvvdOOmw2O1d0PymzZ83IFltunYP/cmKSpHGTdfLTHX+dH/5sl/zz1cnpe8kZuajvTWnWonXdNQnA/6xizm82abJ2fv6L3bLd9jvltSkvpWePLuk94LrM+Wh2vrf1tul4zMlp2qx5hl3TPwP7Xpazu11cR10DwLI+nDUnrZutU/25VdO1M3/h4hp72JOkYYP6eXTilFw4/I40bNAgx+23W3X9lZ3+WOe5AWBVLJ3D/HTeccVznSuue+Ifd2XdZi2y7XbLvoP21hH9csAfjlvm/DMAKJXp02fU2GPeskXzfPy5Pe1JctKxRyVJnnthUo2//+E2W1f/99Rp03LH3ffm1BOOLWpmAFhVM6dPS4uWn+5Tr23db0U1zZq3SOeuPZb53p/89Of5yU9/npdffKH4TQDAlzB1xqy0at68+nPL5s3y8YKFWbBwUdb65N18SXLa0YclSSZMeqnG3++x8455ZOz4/LbjSamoqMyPt/5OdvjRNnUTHgC+hM/v5Vu3+fL38h14RO17+aZ98FY2nDsrgy85NnNmT8sm39omv/nDacUPDwCrqNZnOxct59nOF17NhSPvTsOG9XPcb3ZJktSrVy8N6tdPl+tuzz+en5Kdf/CtbNTG2dQAfLPMnDE1zVvU3J+38HPrfF9U16x5i5zR5ZIV/js3DhuYQ/58tDPMAPhGmjrro5r3f83WWf7evudfSY9hf/tkb9+vShEXAGpVzPNbjjzu1HQ/99Tcc+dtmTtndk496/zUr98g67Vtl30POCQnHv2nrNW4cRo1WiuXXjmojjoGgE9NnzGjxl6FFp+8b3bhggVptNZaX1jz3rvvZs7mm6db166ZOXNmtvrOd9KxY8c0WnPNLFq0KBOffz7bbLtt3nj99bz99tuZNWtWnfcIAMvzdZxb/d+6xz85y+WHP132LBcA+CaYOnNmWrVoVv15uXv5jvpzkmTC5Jdr/P0eO/986V6+I0/+zF6+H9RNeABYCdOnT0/LFp+dx2y5dB7zM2t+K6p577338tGcOenWrUtmzZyZrbb6To7oeGTeeuutNG3WLHeOviPPPfdcysrKsv8BB2T9du3qvEcAWJ7pMz5/ZufS9bzPn9l54nFHJ1n2zM5LLzy/TnICwFfx+fcvNF3J9zR8tm6HXfbJhLEP57Qj9khlRUW22von2frHOyZJGjRokDkfzUz30/6Y+XM/ynFnXFp3zQHACsyeMTXNWnx6blnT5q2zaMH8ZcbAJPn9UeckSaZMGlfj+pZb/6z6v2dOez8P3zsqfzy2WxFTA8CqKea7+aZ98G7Wbdo8D9x1U16cODblZWXZ/bd/TJv129dRdwBQk3EPAAAAAAAAgNoUSh0AvimeeeaZ7LXXXllzzTXToEGDHHDAARk3blytte3bt0/nzp1z2223pWfPnpk0aVIWLFhQo2bXXXdNp06dcuGFF2bLLbfMDjvsUBdtAJ+oqqxMvVquFwqFlapLVVUGXHFe/tjxlDRtVvOFxkuWLE7/y7vmmFO6ZcCwe9LtkiG5btBlmTl96teWHwC+rMrKqpUaA2tTXl6eHlf0zQkdD0vzZk2//nAAUARVVVW1Xq9fy9i3cPGSdB54Y96ZNjPdjjgoSXLqIfskqZc/nNcnp181PD/ZavM0bFC/mJEBYJVVVlUm9Za92/v8vd7K1P37/15L987H51d7H5Btf7x9KirKM23q+1mz0Vq58PIhOemsCzPy2n759/+99vU3AgBfoLKqqtax7LP3eCtTc+fo0fn9IYdUf16yZEku7dkzp516am684Yb06tUr/fr3z/Tp07/mDgDgy6uqqkq9Lxjj/mvhosU556rr8+7U6el69KFJkv123T5nHv67rLnG6mmyVqP8Yc+d89iEyUXPDQCrYnnj3TLPdq5kXW3WbdosQ0bemR5XDMngvpfk/ffe/vKBAeBrUllVmdTydGehsOrPqLz1rym5vNsR+cUeB+d7P9zxa0gHAF+vquWu5y17beHixek84Ia8M3VGuh3xuyTJNaMfTNMma+WhAefn7327Zs7HC3LDmMeKHRsAvpSvssZXXl6RLv2H59Q/7Z8WTdepi7gAsMqqqiq/cN1uRTW/3n3PHHNcp6yxxppp3Lhx9t3vwIwb+1RRMwPA1+nrXOcDgG+6yqqq1Ktl3Ktfyz3fwkWLc3b/kUvX+ToeXON3ox54Ikfs+8ui5QSAL2tl1vZWVHPTqFFZZ+11cvNNN+XGkSMyb/683H7HHUmS87p2zc932CH16tX7f+zde8DW8/0/8GdXtdHBobo7iUpFzqcQYsxmmI3Zb3zZ9h0bc5ptDGOb7TuHOcwpleSQnBotY3M2OROFpHSuEemgpHPquu/790fcpCLTdV/k8fjv6np9Pj1ff33u6/15H7L1Vltlyy22yLAXh5WuGQD4BJ57AHyZrM669I+r2X//A3P8CSfVzG855Hvfz+Bnnk5lsTLTp01LgwYN8tdLr8gZZ/4u113TJxPGjytpPwAAAHygurpqZdM4V1jTsKqa6qrl54FWV1cvd+2YUSMzd8472XPvb6zJ2ACwxqxq7V6d1diX830P3tE7DdfbMOdc/Xj+1GtQFs6fk0fv6bcGUwLAf696left1V3tusrKYka+NCQnnfGX/PnSGzN//twMvKV3kuSXZ12cnffYN3Xq1MlmW26fTp23zciXhpSmGQD4iFKOb57xh/OyW7e9U6dOnWyx1bbZfIutMnzY89ms85b57R/OT7OK5qlbt24O/+HReXHo4CxdunRNtwcAq626unplj7uV7tm5z45b5tEr/5DjD943J116Q6qqqkofEADWgOqqVa1ZqPup6x68+2/5zg9+tkLN+DHDM2/O7HTda/81kBgA1oyq6uqVvcZbrTNnP2zchIn59W/PzsHfPiC77dJlDaUDgDWjajXWsq9ODQB80VSv8jffyt7+reiG2+/Mhuutl7tv6JU7r+ueufMX5G//vG8NpwSANWdV+5R9mrV8lZXFjH15cI7+9SU57YLbs3D+3Nx7W481GRMA1ohV/eZb6dzOHbbIo5f/Nsd/Z++c1P3m5eZ2nv+z7+fRy87I3AWLcs09j5UwMQB8equzZ/WnqVuZsaNHZN6cd7LH15zXB8Dn06rmtKz0999OW+WRnn/KcYd8Iydder21fQB8bpRq/5YlS97NZRf+X35xypm59qaBOfeiK9On5yWZ+daMvPTi0Dz79OO55sa/57qb/5Gdu3ZLj8svKEF3APDxqquqVrpnS6Fu3dWqqayszLBhw3LWWWel+5VXZv68ebmxX780aNgwZ//xj7n99ttz0oknZtCgQdl2u+1Sr169kvUCAJ/Wmti3+n0P/utv+e5hP13zIQFgDVn13mSrt57hhgF3ZsP1G+fuvj1z57VXvLeW7/41HRMA/murnqtZd7VqKiuLGTbsxZx11u9yRfcemTd/Xm66sV8qi8VMnzYtDRo0yCWXXpbfnnlWrr2mT8aPH1/SfgDg06haxXm09icDYG1SXbWq591Hz2lYdd0/b782jdfbIN37PZRLr78vC+bPzQN33VJTs/4GTXN53/vz+4tuyPU9/pxpU15b840AwKdUVb38eoX3ffQZuDpemzgqfz37p9n7gMOzbZe91kA6AFgzSnk2X2VlMW9NfzPrNmiYP1x4fU447fz8re9leXXC6DXYAQCsPs89AAAAAAAAAFbGbq3wnpUdZFMsFldaO3LkyPzmN7/JUUcdlW9961vLDg2orl6u5qijjso+++yTRx99NH/961/z8ssv54QTTihJdmCZgbdekxeGPJkkWbRwQTZu26Hmu7dnvZWGjdbLOuusu9w1TStaZMK4V1aom/L6fzJj+pTc0rd7kmTO7FmpqqrK0qXvZt/9D827776bHXfuliTp1HnrtNmkfSaMeyVNK1qUuk0A+FgtKppl9LgPNqt7a9bbadyoYdZdZ51PvHbshImZOn1Grup7Y5Lk7dnvpKqqKkuWLs3pJ/tbFoDPp5ZNNsjIiZNrPr81e27Wa7hu1v3qV5armzprdk65/Ia0b908fc48Put8pX6SZP7ixfnV4d/O+o0aJEn63j0oGzdvVnsNAMAqDLjl2rzw3FNJkkULF2bjdpvWfPf2rJlp2KjxCuOdzSpaZsLYUause+bxh3N970ty9PGnptve+yVJNmyy7Lm39zcOTJK0bN0mm2+5bSaMG51NO3YuXYMAsBLNKyoyduzYms8zZ85Mo0aNss6Hxjc/qWbCxImprKrKNttsU1Pz6quv5t3Fi7PrrrsmSbbo3Dlt27bNmLFjU1FRUeq2AGC1tGi6YUZOeLXm81tvz8l6DRtk3XW+ulzdtJlv59S/9km7jVqk99m/zDpfWTYWet+TQ9Jpk43Sqe1GSZLqJPXqffoNZAFgTRtwy3V5vmasc0E2affhuZ2rGuts8bFjnSuzcMH8jBz+QnbZ/WtJkk07bp627Tvm9VcnpfVGm6zJlgBgtfzrb1dl+POPJUkWL1yQjdp2qvnunVkz0qDRevnqxzzbVmboUw+k/7V/yRHHnJld9jxwTcYFgDWmZdOPzuuc8968zuXHOqfOnJ1TLu+b9q1bpM9ZJ9TM63z0+RE5/cffS/169VK/Xr0c1K1LBg15OT8+YO/abAMAVstnecf38rhJmTJjZi6/5R9JklnvzE1VVXWWLF2aP/z8h7XZBgCsUkVF84wbO6bm86yZM9PoI+/tPq7mkUH/TvtNO6R9+/fXQ1SnXj1bngHw+VaK93wA8EWw7D3fazWfa97zrTDeOTunXHZd2rVukat/d2LNmoYkGfPqG6msrMxOnTsEAD5vKioqMma5NeqzVljH/nE1Tz8zOCcef1zq16+f+vXr5xv77punnno639pvv9xz7705/LDDUqdOnSRJdXV16lrbB0AZee4B8GVSUVGRsZ84v2XVNY8MejjtN920Zn5LdapTt169NGnaJEnyjW9+K0nSuvVG2XKrrTJu3Nh07LRZbbQGAADwpdesokXGjx1d83nWrBV/831cTbOKFpn99sya72a/PStNmzWv+fz0k49k732XnUcNAJ8X9/+9Z0a+8GiSZPGiBWm98QdrGua8PSMNGq6Xr67TYLXv9/KQh3PoUb9LvXr1U69e/ey818EZ/txD2eego9Z0dABYLf+4tU+GDX0iybK9qtu07Vjz3exZb6XhStbvNalomYnjXllp3QZNmqXLbntn3QaNkiS7771//nnb9Vkwf14euX9gDvp/R31knou17gDUjlKNby6YPy8P3HtXDj3sRzXPuFQndevWy6iRw7Ng/vzs3HWPZf9cXZ06dQrGQAEoq5ZN18+ISa/XfJ4xe+57e1V/sEZ98vRZmTVnXnbYrF2S5OA9d8r5N92VuQsXZ4NGqz8eCgC16R/9r86wIcvGOhcvWr2xzqYVLTJp/MhV1r02aWyqKovpvPWOK/x/Q576d/bY59t+4wHwudK8olnGjBtf83nmrFlp3KhR1v3QmvZP8sgTT+XK3tfm5OOOyb5771mKmADwmVRUNP/E936rUwMAXzQtmjXNqHETaz7PnDU7jRs1XO3ffI8/OzSnHPu/qV+/XurXr5cD9umWx54ZmiMOdh47AJ8f9w3omZHvn0+0aH5abfLZ1vKtv2FFtttl36zz3vqGLnselAfvuHqNZgaANaFlk/Uz4j9v1Hye8c68rNfgI3M7Z8zKrDnzs0OntkmSg/fYMeffck/mLlycUa+9mY4bNU/zDdZLg3W+mv132SaDXhxV630AwEcNuOW6PP/cU0mWrWPfpN0H5+i9PWtmGq7kHV6zihaZMHbUJ9atzOAnBmXPr+9vbicAn1stm26QkZ+4tm/me2v72idJDt5r5/zlxjszd+GibNCoYa1nBoCPKtX+LZNf+0/efffddNll9yTJZp23ysZt22f82FEZOeKldNl1j6y/wYZJkgMOOiSnnHh0qVsFgBVUNG+escudNztzxTNpP6amSZMm2X333dOg4bLfd/t8/evp379/qqqqsu666+aiiy+uue6YY45J69ata6ErAFi1Nb1vdfL+Xi6VK93LBQA+L1pUNM2o8Stby/fV1br+8WefzynH/PiDtXx7d8tjg4fkiIMPKFVkAPhUKioqMnbsmJrPs1Y21vkxNU2aNM3uu++RBg3eG+vc5+v5W//++e7BhyRJvvHN/ZIkrVu3zpZbbZVx48amU6cP1goCQDk1r6jImLGfbc9OAPg8uvMj5zRs1PaDtXwf+25vFec0vPDsI/nhsWekXv36qVe/fvbY56A8P3hQ9vrmIRk9Ymh26rpPkqRdh87ZuF2nvPHahLTcqG0tdAoAy/vX367K8Pf3LVu4IBu1/WAs8p1ZM9JgJc/ATzL0qQfS/9q/5Ihjzswue9qvE4Dyq62z+TZo0ixJ0m3f7yRJWrTaOJ222D6Txr+Sdh23KE1zAPARnnsAAAAAAAAAfBInU8F7unbtmnvvvTeLFy9OsVjMHXfcka5du660dujQodlll11yxBFHpF27dnnsscdSWVm5XM0PfvCDLFiwIEcddVSOOuqojBrlQFQotf/3w5/ngu4354LuN+fPf70uE8aOzLQ3JydJBt1/Z3badc8Vrtlmh11XWtep8zbp0fdfNffbd//vpWu3b+TYk3+fFq3aZNHC+Rk3+uUkyfSpb2TK66+m3aab1V6zALAKXXbYLqPHjs8bb05Nktx9/0PZY9edV+varTpvngF9r85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Ul/7nxbZtTU1NmThuVE4adEaq6y7JYYd/N5MnXlCxuQDgzaxueDkzas/P4LPG5qJpV6RHzx1y+bz6Tcpdd/WC/O7h+9vWd+rVJ2MnL2hb9vr3T+RT+xzgQXgAvCOsaXgpC6aenRNOn5Rzaq9Lt6qdsnRRTbvZVSsfS+2o/rn31ze1u/+mpbPz6CP3lLEtAPxjXmlYnbFTpmf0kMFZNHVitq+qyvT5izfIPfH0Mxk8ckxuuX35ettvuWN5rr7+xlSPGpb5teOzdm1jrlh2Q6XqA8Df1dDwSqZUj8+Q4edm6sz5qeq5Q+bPmfmWM1ctXpiWlpbU1M9KTf2sNDauzdVXXJokqZ00Lu/r1j3VdTMy6oKLMmt6XV588Y8VnxEA/tbqhpczq3Z0Th16YcZNuyrde+6YK+a3/xvfxnIr7vh5bvrxFTnzvLpcMGVxmhrX5sall+VPr72a2guH5FvHnJoxtZfm6JOGpH78sDQ1NVZ6TABIkrzS0JCLamozcthZmT1jWrbv2TOXzJn3ljMXz5yVzp07Z+a0ukyeOCF33X13fr38rrz22ms5b8zYnHDcsZlePyWnnnxSxlw4Po1NTUWMCQDtemnNaxm54EeZOOAbWXbuSdmx27aZfO1/rZd5+KnnMv/mOzP/9KNzzdkD0qv7dqm/7pYkyc33/jaX/WJFZgw6Itec/b2sbWrKgv9a3t4/BQDvCGsaXsqC+pEZcMbEnFu7LN2qdsy1iya3m31u5WOZPOqEDa7tvG5xfbZ5X1XOrr4mQy5clFt/emUe+9397X4HABRpzeqXsnDq2en/w0kZOfm6vK/HTll2aU272VUrH8uU8/rnvjvXP+49/+zj6dL1vTlrwpVty8c/95UKtAeAN9fQ8Epqqi/KWcNHZvrM2enZc/vMnXPJW86sXPl0unbdKlPqLm5b9t13v7bPNjY2ZuKEcWlu9tseAO8MrzQ0ZFJ1dUYMH55ZM2emZ8+emTNnzlvOjBg+PPV1damvq8ugQYPSdcstc/LAgUmSRx5+ON/4xjfa9tfX1aVLly4VnxEA/tbqhpcze8qonHzmhIytvybde+6UqxZMeVu522/5cVY982RG11yeUdWX5Xe/uScrbr85O+68a0ZVX9a2fOjf984nP3dgPvqpL1R6TADYwMur12T09AW58LQTctWkc7Jjj26pv2zpepknn30+tZcuSe3Qk7PowmE57uv/N0Oq37in/eIrrkuP7bbN4gkjMvf8M3PNTb/MA79/rIhRAGCjVje8nOmTx+S0sy7IpIsXp0fPHXLZ3KlvK3fFwhnZrluPTKhflPMnXZKbbliS3//2wTQ3NaV2/Nk54ZQhGTdlfr7+zWMyddJ5lR4RANpVrvcVAcA7xRvHsQtzxrDRmTJjYap67pCFc6a/5cxNNyzLs888nZqpczKuenp+tPSq/OF3j2TnXr0zse6StuXf/uPj+ezn98ven9mniDEBYJN1ff+u+eRP56XnIQcWXQUA/iEvr341o2ZdngmnHpVrxp2ZnbpvlylXXL9e5onnXkjN5T/OlNP757LRP8jxB++X02vnJ0kmXrosXTp3zJVjT8+8kafk9gd+l1vve7iIUQDg73q5YXXG1F2SC844OYunjM0OVd0zdeGVG+SeWPlsTj13fH5+x4r1tk+ee1m26Nw5i2rGZObYs/Prex7IbSvuq1B7AHj7XmlYnQtrL87ooadl4bTq7NCzR6bPv2yD3BNPP5PTzj4/t9x+53rbn1r5bLbaastcUjOubdn/Pz9bqfoA8LataXgpC6aenRNOn5Rzaq9Lt6qdsnRRTbvZVSsfS+2o/hs8q/qvblo6O48+ck8Z2wLAP+a1NS9l2ZxhOXRgbU4e85Ns033n/OzqiRvkXlz1WH521YR8Z/DMDDjn2nz2KyflyqmDkiSHnVSbAedcmwHnXJuvHjU6nbfYOl86YmSlRwGAt6Sc97QDwDvB6oaXc8mUUTl5yPiMnXpNulftmCvn172t3MlDxue8mktzXs2lOebk4emy5VY5csCQ/Om1V1N34Rn51tHfz+jJi3PUiWdl2oShaWpqrPSYAJDkr8ez83LKkHG5cOrV6fGmx732c6cMGZfRNZdmdM2lOfYvx73vDjgzzU1NmXrRsBx78vCMrrk0Bx92XGbUOO8JQHEaXnkl1ZMmZfiIEZk5a1a77yd6s8xtt92W65YtywVjx2baxRdnbWNjllx7bZKkvr4+BxxwQOrq63Paaadl7AUXpKWlpdIjAsBGrWl4KfPrz8mAMy7KqNql6Va1U5Ysmtxu9rmVj6Vm1IDc8+ub19t+wzWz0tLSkhETr8zZE69MY+Pa/GTJ7ErUB4C3ZHXDy5lRe34GnzU2F027Ij167pDL59VvUu66qxfkdw/f37a+U68+GTt5Qduy179/Ip/a54B8/NP7ln0uAHi7Xl39Ui6fMTxHDa7JmRddn+167JzrL5+0Qe6FZx/Pjy+7KP3PnJEfjF2S/b72vcyvGVRAYwB4c6sbXs60mgvyg7POT830y1LVc4dcOnfa287d8rMbcu7QU/LyS+u/l+h3jzyUgw75dsZPmdu2bNGlS9nnAoD2NDS8kprqi3LW8JGZPnN2evbcPnPnXPKWMytXPp2uXbfKlLqL25Z9990vSVI96aJ069Y9tXXTcv4F4zJ9+tS8+OIfKz4jAGzMy6vX5PyL52fsaQNyZfWo7NijW6Zedu16mSefXZUpi67J5LNOzcJxw3PsIV/KkElvvKdv+hXL0uN92+Syi0Zm7pihueamW/Pg7x8rYBIA2Lhynu/802uvZtKYYTny2IGZUDcv/QeenppxI93HDkBhXNcJwLuZ51UD8K9udcPLubhmTE47a0yqp//1udPtn+vcWG7JFfPS0tKS8XXzM37K/DQ2rs21V85Pa2trJo0dnsOOOD7jpszL0FETs2BWbZ575ulKjwkASd44ns2qHZ1Th16YcdOuSveeO+aK+e2f69xYbsUdP89NP74iZ55XlwumLE5T49rcuPSNd9nOnHxetu3WI6NrFubM8+qycObEvPTi8xWdEQD+Vjmvb2luasrkcSMz4NQhmVA3L4d86+jUTRpdkbkA4K8aGl5Jfc3YnDFsdGpnLEpVz+2zaM70t5W76YZlefaZp1M9dW4urJ6RHy+9Mn/4f+zdd7ie8/0H8HdOTiJb1sk0MxArsUft2rSKUlqq1N5VWlVaozYVBLFijxo1apdoxAwSGTJsUZG9ZJ/1+yN+R44MieacR9PX67/neT73c96fXJfr67nv7xg1PKWlpfnrpefm2JPPyJW9bsv+B/0y1155YbXvHTl8aB57+L5a6RUAAAAAAACA76ao0AGgpvXu3Tt77rlnfvSjH+WSSy7J6NGjs9NOOy1Ud/vtt2e33XbLnnvumcsvvzxJcuaZZ+bYY4/NHnvskb59++add97JAQcckB//+Mc57LDD8umnnyZJDj300Fx44YXZd999s+eee+bll19OkvzjH//IPvvsk/322y8nn3xy5s6dW3uNw/+wdwa+mS5d10mHjqskSXbf68fp/6/nU1lZuVQ1kydNzIDXXs6fLri82vfWq1cvt9z5UDp17prKysqMG/tFmjZtVnuNAcASDB30Rjp17ZZ2HVZLkuy8x355pd+z1ca/pakbPvTtDBn4en64+76L/Dsj330nA159MUcc//sa7AYAlt6IIa9l9c7rp0371ZMk2+56YN7s/9RCY2CS9Hvm/mz9w/2y0Za7LvTZe+++meGDXsk2ux5Q45kB4Lsa8M6QrNOlU1bt0D5J8pPdd84/X3ploXHvkaefy94775gdtt6i2vvPvtg/B+2zV5o1bZKioqKcftyvs9sO29RafgD4Nu8MfCtd1lq72jO8l1584RvP+RZfs+4GG+aAgw5JUVFR6tatmzU7dc2E8ePy5ZfTM3jQ2zno579MkrRuXZLL/npdmjZpWvtNAsAChg16I526rFv17G6n3ffPa/2eWeh33pLqXnnxyey+z8/TpOnKKSoqymHHnZmtd9wj48aMTqPGTbJe982TJB1WWSMNGzXOByOH1m6TAPCVtwcOytpdu6Zjxw5Jkr332iN9/9Wv2ri3pJr3P/gwO++0Y+rWrZt69epli802Tf+XX8nnY8akcePG2ahH9yTJaquukkaNGmbEiJG13yQALMZrIz7O+qu3z+ptWiZJDtxu4zz15rvVxsF1V2ufx887Lk0bNsjc0rKMn/ZlmjdumCR54o2h+eXOW2Tlxg1TVFQnZx+8R/beYv2C9AIAS2PE4Neyepev53Zut9vi53a+9Mz9+cEP98vGW1Wf23nAEb/Pfr88LUkybcrElJXOS8NGTWo+PAAso5GDl35Nw0vP3p+tFrGm4aNRg1NUVJSr/nRYLjp9/zz9UO9UVJTXSn4AWJKBA99O17XWTseOHZMke+61d/71Yt9q49ySakYMH56iukX53Rmn5cTjj8l9996d8vKvx7gbrr82P9xl1zRrtnLtNgYAizFw4MCstdZaVePa3nvtlRdffPEbY9+315SWlubKK6/M0ccck5KSkiTJ8BEjMnjw4Bx/wgk5/YwzMnSo+ZwAFN6777yWNbuum7ZfrVXYcfef5vWXnl7o/uaS6ioqKjJ37uyUls1LWWlpyspKU6/+StWuf2/4oLz92gv55bFn1U5jAPAt3hgyIut2Wj2rtW+TJNl/l23zzCtvVhsD69Urzh+P+kVat5h//7Jbp9Uzaer0lJaV5beHHZCTD5m/X+fEqdMyr6wsTRo1rP1GAGAJhgwakE5du6V9h1WTJLvssV9e6ffcQr/5llR32NG/ySFHnJgkmTp5UspKS9OoUZMU16uX625/PGt2XjuVlZUZP/bzNHFeAwDfEzV1XhEAfF8M/sY4ttte+yw01i2p5o3X+mennfdI3brFadK0abbZbqe89OJz1f7G8GGD89rL/XLMib+tvcYAYDlZ/bhf5LM+D+aLh58pdBQA+I+8Nuy9rNtp1azWbv6ahJ/utFWefm1Qtd9/9YuLc84RB6Sk+fxndeuuuWomTfsypWVlGfnJv7Pn1pukblFR6hUXZ5vu6+SFN4cUpBcA+DYDBr+bbl3WzKod2iVJ9tttpzzX//WF5rk8/PQL+fHO22WnrTar9v7IDz/N7ttvnbp1i1KvXnG23qR7XnztrVrLDwDL6s1BQ7JOl85Z5aszaffZfZc83+/lhca+R596NnvtsmN2+EH1M2mHjXwvRUVFOfEPf87hJ/8ut9//cMrLK2otPwAsqxFDln7Pzn7P3J+tF7FnZ5K89+6bGT7olWyz6wE1nhkAvquP3n0lHdbYIK3arpEk2XSHgzLsjX8sNO4VF9fP3oddkKbN569377DG+pkxbWLKy+ZV1ZSXzctjfc7Mrgf9ISu3bF9rPQDAsqjJNe0A8H3w7juvZ80u66bdV3tx7rTYPTu/va6stDS3Xn1uDv71b9OqpF3GfTE6DRs1ybrdN0+StF9ljTRo1CQfjjTfE4DCGPaN8WzH3ffPay89s9C4tzR1ZaWlueXq8/LzX5+WViXtUlyvXq669ams3mn+vmUTxn2eJk2dVQRA4Xzz7KG99t77W88nWrDmhRdeyL777ZemTZumqKgoJ514YnbaaackSUVFRWbMmJEkmTV7durXr1/L3QHAkg0f/FpW77Je2n41r3O73Q7IgP4L3/dMkn8987f84If7ZuOtdqn2ftduG2fPnx6VoqKiFNWtm1XXXDuTJ4yplfwAsDSGDnojnbp2q7qPufMe++WVfs8uNN59W93woW9nyMDX88Pd913k3xn57jsZ8OqLOeL439dgNwDw3b039JWs2mn9lLRbI0my1c4HZdArTyy8xqFe/Rxw5AVp1mL+nmerrrl+vpw6MWULrHEAgO+DwQPfTOeu3dK+41drE/bcNy//658LjW1Lqps8aWLefL1/zjr/yoW+/72RwzJs8Ns548TD8uffHZ/hw96p8Z4AYHEGDnw7Xddau2ruyp577Z1/vdj3G/NbFl8zYvjwFNUtyu/OOC0nHn9M7rv37pSXl+fLL6fnnUEDc/DPD0mStG5dkr/+9Zo0adK09psEgMV4Y8iIdOu8RlZrP39flv122S7PvDyg2jhYr7hezjr6kLRuMX9tQrdOq2XS1OkpLSvLaYcdmJMP2T9JMnHqtMwrK0vjRg1rvxEAWIKavN/5xZh/p1HjJtmgx6ZJko6rrp6GjRrnvRHDaqEzAFiYeZ0A/C+zXzUAK7ohAwcs4h7mIvanXkLdOut1z74HHVa1dn2NTmtl4vixKS2dl/0PPjwb9Jh/fm2r1m3SbOXmmTxpfO02CQBfGTbojXSqtgf1/nmt3yL27FxC3SsvPpnd9/l5mjRdOUVFRTnsuDOz9Y57ZMaX0/Lu4AH5yUFHJUlatm6bP1/eJ43t2wlAAdXk/JbievVywx2PZs3Oa6WysjLjx45JU+MeALVs8MAB6dJ1naoxbLe9fpL+ixzrFl834LX+2XHnPVO3bnGaNG2aH2y3U1568Z+pV69ebrrz7+n01Vg3buyYNGnarOo7p06ZnFtu6JlDjziu9hoGAAAAAAAAYJkVFzoA1KR+/fqlb9++efjhh1OvXr2cdNJJ6d+//0J1Q4YMyb333puHH344DRs2zJFHHplhw+ZvaNW8efP07t078+bNy+67756ePXtmww03zNNPP53TTjstDz/8cJJkxowZeeSRRzJixIgcddRR6du3b3r27JkHHnggrVq1yqWXXpqPPvoo3bp1q9V/A/hfNGnC+LQuKal63ap1SWbNmpnZs2elUaPG31rTslXr/P7sCxb53cXFxZk6ZXJOP+XoTJ82Lb8980812wwALKVJE8enZeu2Va9btm6T2d8Y/76tbu7sWbnr5qvyu3N7pu8zjyzy79x727U58JBjqn0nABTS1Ilj06J1u6rXzVu1zZzZMzJn9sw0bNSkWu3PjjwrSTJi8GvVv2Py+Dx026U54Y835OV/PljzoQHgOxo/cXLatG5V9bqkdcvMnDU7s2bPTuNGjare/83RhydJ3nxnaLXrPxszNlOmTsvp512SiZOnZMN118lxhx1cO+EBYClMnDA+rVu3qXrdehHP+ZZUs9HGm1W9P37c2PzjsYdz/Emn5Ysxn6dFy1Z57JEHM/CtASktLc1P9j8wHVdZtfaaA4BFmDxxXFouMK79/7O7b97fXFLd2M8/S6euU3LFuSdnyuSJWXvdHvnZr05Kw4aNMnfO7Awd9Ho22GjLfPT+8Hw++qNMnTKxVnsEgP83YcLElJS0rnpd0rp1Zs2aVe3+5pJq1llrrTzf98Wst263lJaWpv8rr6a4uDgdO3bMnDlz8tbAQdl0440y6r338+no0Zk8eXKt9wgAizN2yvS0bfH1hq1tmzfLjDlzM3POvDRpuFLV+/Xq1k3fd0blvHueTL3iujl+7+2TJJ+On5zJX87Kcb3uy4SpM7Jxl1Vz6r471XofALC0pkwamxatvl630LxV28yZtWxzO+vUqZO6dYtz29V/yKDXn0+PzXdK2w5r1Hh2AFhWUyaNTfNWS7em4cBfzx/3Rn5j3KsoL8vaG2yZfX5+SsrLy9L7khPToGHj7LjXoTXfAAAswcQJE9K69dd7s8yfsznrG/M6F19TXlGeHj02zq8OPyJlZeU5789np1GjRtnnJ/vl2WeeTllZeXbffc88cP99td4bACzKxAkTUtL667krrRcxv2Vpap597rm0atUqP9h666q6Zs2aZYcddsg2P/hB3h0+POeff36uu+66at8FALVt8sRxabnA/c0WrZawpmExddvs+KO89erz+e2v90h5eXnW77Flemy2XbW/88AdPbPfz09Y6J4pABTKuElT06ZVi6rXbVo2z8zZczJz9pw0adQwSdKhpFU6lMzf46WysjI973o4222yQeoVzz/Wobhu3fyp1+3pO2BQdti0e1bv0HbhPwQABTRpwri0qrYHdcmi96r+lrq6dYvT68pzM+CVf2XTrbZLh46rJfn6vIazTv1Vvpw+LSf/7vzaaw4AlqAmzysCgO+DiRPGp3XJ1/uRLWqsW1LNxIkTFvrs048/rPY37uzTOz//5ZHOJQLgv9K7p8z/Tdd6lx8UOAkA/GfGTZ6adi2bV71u03Ll+fNb5sxNk4YNkiQdSlqmQ0nLJPPnt/z13sez/Ubrpl5xcdbvvFqeevXtdO+6RkrLyvLCW0NTXLduIVoBgG81buLktG3dsup1SasWX53LNyeNv5rXmSS/PWr+PiwD3nm32vXrde2UZ/q9mg3X6ZJ5pWV58fW3jHsAfK+NnzjpG2fStlrkmbSnHnNEkuStd4ZUu768ojybdN8gx/zy4JSVlefMCy5N40YNc8CP96ydBgBgGU2dODYtWi/dnp2L26t66uTxeei2S3PCH2/Iy/98sOZDA8B3NH3yF2nW8utxr1mLdpk7e0bmzZmZlRp+Pe41b71KmrdeJcn8Z33P/e2SrNVjx9Qtrl9VM6j/w2navE3W2XiX2msAAJZRTa9pB4BCmzxxXFouMIa1aL2EPTu/pe6l5x9L85Yl2WTLHZMk7TqslrlzZ2fYoNez/kZb5qP3382Y0R9m6pSJtdQdAFT3zfGs5VKOe4uqmz/uta4a95L5+5ZNmzopfz7t0MyYPjXHnX5RLXQFAIs2YeLEavuQ/f/ZQ7NnzUqjxo2/tebzf/8709ZaK+ecfXYmTZqU9dZfP7/+9a+TJMefcEL+cOaZeeSRRzJt2rT8/swzU9caBwC+R6ZMGpcW1c4gaps5sxY9r/PgI/+QJBn+jXmd6/b4+my+SRPGpO+T9+YXx5xTg6kBYNlMmjh+kfcxF5rTsoS6ubNn5a6br8rvzu2Zvs88ssi/c+9t1+bAQ46xdycA31tTJ41N8wXWOKzccv7avrmzZ6bBAr8BW5Z0TMuSjknmr3F4/J5Ls+7GO6V4gTUOAPB9MGniuLRqXf2chUX/3lt8XctWrXP6Hxc9b6VJ02bZZvtdssUPdsio4UNy+V/+kMuuvb3adwFAbZk4YUJat15w7krJ/Lkr1c4nWnxNeUV5evTYOL86/IiUlZXnvD+fnUaNGmWdbuumRcuWefSRh/P2W2+mtLQ0++7/03RcZZVa7xEAFmfcpClp26pF1es2rZrPP6dh9pw0+Wq/6g5tWqVDm/n7elZWVubqux7OtptsmHrFxUmS4rp18+det6XvGwOz/WY9snqHtgv/IQAooJq839m+46qZM2dOBg8ckO4bb54P3huRf4/+OFOnTKrZpgBgMczrBOB/mf2qAVjRTZo4finvdS6+rvvGW1S9P2H82Dz9+N9y5Im/T/36K2WnXX9U9dnzzzyW2bNnp+va69dwVwCwaPP34vx6PFvynp2Lrhv7+Wfp1HVKrjj35EyZPDFrr9sjP/vVSfn36I/SvEWrPPPYPRny9mspK52XPX5ySNp1XL1WewSABdX0er7i4uJMnTI5Z55yRL6cPi2n/v68mmsGABZh0oTxaVVSfQybtcjz9xZfN3Hi+LSu9lmbfPrxh0m+Hut+d8qRmT5tWk4789wkSXl5eXpefn4OPeLY1K1bXMNdAgAAAAAAAPCfKCp0AKhJr7/+evbaa680bNgwxcXF2X///fPaa68tVPfmm29mxx13TNOmTVNcXJzbb789668/f5HXhhtumCT55JNP0qxZs6rXe+yxR0aPHp0vv/wySXLggQcmSbp165aSkpKMGjUqO+64Yw4++OBcdtll2W233dKtW7faaBv+51VUVqZOnToLvV9UVLRMNYvTvEXL3HLnQ7n4yuvS66pLM+bzz/6zwACwHFRWVGThkW3hsW1xdamsTK8r/pRDfn1qWrRsvci/8d6IIfly+tRsvf1u/3FeAFheKiorFvn+0vy+S5LystLc1vP32f+wM7Jyi5JvvwAACqiyoiKLuK251ONeWXlZ3ho8LOedcXJuvuLCfDljRm6++4HlnBIAvrv5z/AWfn/h53xLrvng/fdy1u9OzZ4/+kk222KrlJeVZ9zYL9KoUeNccuW1Of3Mc9Lnpuvzwfvv1UQbALDUKisrsqiBraio7lLXlZeXZdg7A3LC7y7KeVfekRkzpuehu29Iw0ZNcvJZl+eJh27P2af8PK+8+GS6bbhpiovr1Vg/ALAklZXffn9zSTXHHHlE6tSpk+NOPjXnXnBRNt6oR4qLi9O4UaOce85Zuf+BB3PsiSfn+Rf6pseGG6a4njEPgO+PysWuX1j4vZ16rJ1+l5+W4/baLsdde18qKipTVl6e10Z8nMt/vV/uO/OITJs1O70e/1ctJAeA76ay4ruv3fumw0+5OJf16ZeZM6blqYduXB7xAGC5+k/ndibJD3b+aQ484g9ZqUGjNGrcLDvudWgGD+i7HFMCwHez+HubRUtVs/vue+bY405IgwYN06RJk/xk3/3z2quv5IMP3s/TTz2RE048uUbzA8CyqqisXOR8zbrfWNPwbTWPPvJIDj7ooGqfn3P22dl2m21Sp06drL/eeunWrVsGDRy4HNMDwLKrrKzMojYkW3hNw+LrHvvbTWnarEV63vbPXHnLU5k5Y1qeeeyuqpoPRg7Ol9OmZIvtdl/e8QHgO6tYzNqFuot4xjd7ztz84epb8+9xE/LHo39R7bPzT/xVnrvp0kybOSu3PvxUTcUFgO9kaZ71LW3dib89Nzfd81Rmfjk9D99/W9X7zVu0zPV3PJ7zL78pN159Ub74fPRy7AAAvpuaPq8IAApt/n5kC7//zf1bFldTWVGRBT+srKysdu3I4cMyfdrUbLvDzsszNgAAAMuosrJyke8vcn7L3Hn5/XV357Pxk3LOEQckSX5z0I+S1Mkv/nRVfnv17dlivbVSr7juQtcCwPdBZWVl6izipubSPr876VcHpU6d5LDTz82Zl16bzbuvl3rFxcs7JgAsNxVL8cxvSX606w9z6tGHp2GDBmnapHEO3Gev9H/9zeWcEgCWn4rKikW+v7RjX3lZaW7r+fvsf9gZWblFyfKMBgDLXWVlxSLvd9ZZzLg3b+6sPNz71EyZMDo/Ouwv1T574/nbs81ex9ZITgBYXmpjTTsAFNL8M4kWNYbVXea65/5xb350wBFVrxs2apKT/3BFnnioT/506sF59cUn023DzVJc7Ex2AApj8WfQfnPc+/a6Z/9xX350wK8Xqlm5eav07PNUzr60T2699vyM/fzT5ZAcAJZdZUXFoqZypqhu3aWqKS8vz6BBg/KHP/whV19zTWZ8+WXuuP32zJs3L5dcfHF+c9ppuevuu3PZZZfl2muuyYQJE2qsFwBYVkt733NpfPrh8FxxzhHZYfefZcNNt1se8QBguVjsb7pvzmlZTF0qK9Prij/lkF+fmhYtWy/yb7w3Yki+nD41W2+/23+cFwBqyvx9qpd+T5d5c2bl7mt+k0ljR+eAo86v6XgAsMyW5xqGRTn9jxdly212TJ06dbLOet2z1jrrZ8gge7oAUBhLM54tqWb33ffMscedkAYNGqZJkyb5yb7757VXX0l5WXnGjR2bRo0a5fIre+Z3Z56VW266MR+8/16N9gMAy2Jxz/EWeU7DnLk5q+ct+Wzs+PzxmEOqfXbeiYfn2Zsvz/QZM3Prw0/WUFoA+G5q8n5no0aNc/rZF+XRB+7MGScelpf6PpP1N9zEOnYACsa8TgD+l9mvGoAVXcVSrltYmrqPPhiZc39/fHbde/9ssvkPqtU99uBdeeieW/O7cy5N/ZVWWk7pAWDZLH69Xt2lrisvL8uwdwbkhN9dlPOuvCMzZkzPQ3ffkPLyskwYNyYNGzbJOZfekuPPuDD39rkqH38wosb6AYBvU9Pr+ZKkeYuW6X3no7ngit65oedFGfP56O8eGACWUcVSjmFLqqusqEgWeB5YWVlZ7Xdi8xYtc9Odf89FV16f6666OGM+/yz33nFT1l2/e7pvtNnyawYAAAAAAACAGlFc6ABQkyoqKhZ6r6ysbKH3iouLq02eGDduXBo2bJgkadCgwWK/q7KyMuXl5UmSugscGl5RUZHi4uKcffbZGTlyZPr165czzjgjJ554YvbZZ5//rCngW5WUtMn7o75esDJp0sQ0adI0DRo0XKaab5o5c0aGDh6ULbfeNknSuctaWaNT53z6yUfp0HHVGugEAJbsoXtuytsD+idJZs+amVVX71z12eRJE9K4SbOFxrZWJW3zwXvvLlT3+WcfZ/y4z3N3n6uTJNOmTEpFRUVKS+fmqJP+mCR5/eXns82OeyzVghoAqElP3H9dhrz1ryTJnNkz0mG1rlWfTZ08Po0aN8tKDRot1Xd9+uHwTBz/7zx8xxVJkulTJ6ayoiJlpXPzi+POW+7ZAeA/0bakdYa//2HV64mTJqdpk8Zp+NWzjG/TumWLbLflZmncaP44uev22+T2v/29RrICwHex0DO8iRO+/TnfN2r69+ubG6+7Okcdd3K23/GHSZKWrVolSX64y+5JkvYdOqbbeuvn/fdGpEvXtWq8LwBY0N/vuTGD3nwpyfxnfKus3qXqsylfPbtb6RvP+FqWtMuHCzzjW7CuecvW2XSrHdKwUZMkydY77J7H7r81FRUVadCgYf5wYe+q63533P5p236VmmwPABarpKQkI0e9V/V64qRJadqkSbX7m0uqGT9+Qo484ldp1rRpkuS+vz2QDu3bV415V1xyUdV1hx91bDq0b18LXQHA0mnXolmGfvJ51evxU79Ms0YN0mil+lXvjR4/OROnz8zGXeavTfjJ1t3zl/uezvRZs1OyctP8sMfaadJw/oFWe222fm58+uXabQIAvsU/7r8uQ9/qlySZPWtGOn5zbmeTpZ/bmSTD33klHVbrmuYt26RBw0bZdJs9Muj155d7bgD4Lp7423UZupg1DdOWcU1Dkgx46R/puPra6bj6/89jqUzdYtvBAFB4JSUlGTVqZNXrSRMXtX/L4mv6vvB81uzUKWuu2SlJUvnVGNf3hecza9asnHH6qUmSyZMn5YrLL8kRvz4qW2y5Ve00BwCL0KakJKNGjap6PXHixDRp0qRqL8Klqfngww9TXlGRDTbYoKpmxowZeeLJJ/OzAw/8er/DysoU++0HQAE8cu8Neef/1zTMnplVVvv2NQ2tWrfLR+8NW2TdwNdfzM+POiPF9eqluF69bL3j3nnr1Rey+z6HJkkGvPxctt5xb/uWAfC90q5Vy7z7wSdVrydMnppmjRulYYOVqtWNnTg5p13eO2t2bJfrzzklDerPn/f52uDh6bJqh5S0bJ5GDRpkt603Sd8B79RiBwCwaA/efXPeHjB/rcHsWTOz6hqdqj6bvwf1wucwLHqv6vl1gwe+nlVX75yWrUrSoGGjbL3dLhnw6r8ya+aMvDvk7Wy21fZJkjW7rJ3V1uyS0Z98mPYdV6uFTgFg8WrqvCIA+L5oXdL2W8exJdW0LmmbKZMnVn02ZfKktGrdpur1K/37Zocf7ub5HgAAQIG1a9k8wz4cXfV6wpTpada4YRousG9ZknwxaUp+c9VtWbNDm9x45rFpUL9ekmTGnDk55Wd7ZeUm89e89/nHC1m1TevaawAAlkHb1i3z7gLn8k2YNOWrc/lWWsJVX5s5a3ZOOPTANGs6/6yGOx5+Iqu0b1sjWQFgeWhb0joj3vug6vWynkn77Isvpcuaq6fzGqsnSSorK1Nct26NZAWA7+qJ+6/LkMXs2Tl1Gffs/PTD4Zk4/t95+I4rkiTTp05MZUVFykrn5hfHnbfcswPAsvrXo9fkvcF9kyRzZ89Im1W+Pit9+tRxadBo5dRfaeFxb9qkMbn/2uPSun3nHHr6HalX/+vfhV+MHp6K8vKsvvbmNd8AACyj2lrTDgCF8si9vTNowPw9O+fMnpmOq3eu+mxxe3a2LGmXD99f9J6dSfLpRyNTUV6etdffpKqmoqIiKzVolDMvvKnqvTOP3y9t2q9aI30BwKL8/Rvj3iqrL8Ve1SVt89ESx71RqSgvyzrrb1xVM2vmjIwY+mY22XLHJMkandfJqmt0zWeffph2HVevsf4AYHFK2rT51vOJllTTsmXLbL311mnUuHGSZMeddsq9996bTz75JHPmzs0WW2yRJFmnW7esvvrqGTVyZEpKSmqpOwBY2OP3X//1vM5ZMxee17mI33/f5s2Xn8l9t1yUg359Zjbfds/lGRcAvpOH7rkpbw/on+SrOS0LPOeb/NV9zKWb09Isn3/2ccaP+zx397k6STJtyqRUVFSktHRujjrpj0mS119+PtvsuIe9OwH43nn2oWvz7tv/v8ZhZtqt+vVvwOmTx6Vh42apv4i1fVMmjsltV56QNh065dizb6+2xgEACumBu2/JW298vYZhtTUW/L03cZFrGFqXtM0Ho4Z/a92CZs74Ms899Uh+csChqVOnTtX7xcXFy6sVAFgmJSUlGTVqZNXrSRMXdRbf4mv6vvB81uzUKWuuOX/9X2UqU7e4OC1btUyS7LzLbkmSDh06Zt311st7741Kl65fr5MHgEJq27plhn3wSdXrCZOnplnjRgvtVz124uT89rLrs0bHdrn+T79Jg/rzz3F4ffDwdF61Q0paNk+jBg2y69ab5cUBg2qzBQBYpNq631lRUZEGDRrmz5f0qnrv1KMPStv2HZdXKwDwrczrBOB/mf2qAVjRPXD3zXm76l7nrG/sT724e53tlniv89V+z+fWG67I4ceelm122LWqrrR0Xm646sL8e/QnOf+KG9OmbfuabA0AFvL3e27MoDfn79k5e9bS7dnZsqRdPlzgXueCdc1bts6mW+2Qho3mn8O+9Q6757H7b82uP/pZkmTbH+6dJGnbftWs1a17Pnr/3azZpVuN9ggAC6qt+S2zZs7IsMFvZ/Ott0+SdOqydlZfs0s+++SjdOi42vJsCQCquf+uW/PWG68kSWbNmpnVvnF/85tr+JKkpKRt3v/GWPf/da1L2mbK5IlVn02ZPDGtWpdk5swZGTZ4YLbYerskX411nbpk9Ccfpl/fZ7Ny8xYZ8Gr/zJkzO5MnTcjpJx6RK3r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uOuekPNzp6izbolluXcjYd8ql1+blQW+WO3/zfQ+ldq1aefCmK3Pn1Rdl8NvvGvsAWGpNmjI1V3W+M1ecc0oe6nztvDnf/T3mi/vym29z2iX/nm/O17f/gIz6dnS63nhV7rvhigx7/6O8/LMYAFiaTJw+Mxd375Prj/xbnrrg6LRu0ig3P/VquZgPvh6Tbi8PTbfTD87j5x2Rds0a5ZberydJrnvi5dSpUSNPnHdkHjjjkAz44PP0f++zyigFABZo8pQpueHGm3LRBefn7jvvSKsF9G/5pZiX+vXLN998ky633pJbb+mcd0e8l9denzcOdr7l1uy04w65tXPnnHHG6bnq6n+nuLi4wmsEgAWZNGVarrz13lx99onp0fHKtG7RLLc++Fi5mK++HZPO9z+aGy84Pd3+c0mO2Hu3nHfdrWXXe/cfmBMuvjbjJ02u4OwB4LeZOmVSbr/5ypx+3tW5/rYeadGydR6+79bfFPf0Yw/ko/eHV1TqALBYJk2Zmqs63ZEr/nFqHrrluizbciHrW77+NqddfHVeGTSk3Pm+/V+ft77lpqtz341XzlvfMnDIfPcDQGWaOmVS7u70r5x87jX5962PpXmL1nmkW+fFijv53Gty+U3dc/lN3XPESRekTt36OfTYf6SosDC3/uf8HHHSBbn8pu7ZY98jc8dNF1d0iQCwSKZPnZhH7rwgh552U875T+80bt42z/W4Yb64cd99kd4P/SdHnnNHTr/qiWzX4bh0u/nUSsgYAH7ZvDWbN+bCCy7IXXfeucB9+X4ppl+/fvn2m2/S5dZbc+stt2TEiBF5/Yd1nT/dly+lduYDYOk0ferEPHrHBTn41Jtz1nXPpXHzNunTYwH7NIz+Is89dF2O+McdOfXKJ7JNh+PzQMd587yXe92WkuKinHpVr5x2Va8Uzp2dV56+o6JLAYBfNGnq9Fx2R/dce/qRefw/F6R18ybp3OOpcjFffjc2Nz/0VDr94/h0v/ofOfJvO+acm+5OkvQbOjw9nn8tt553Ynpe88/MnluY7s+9XBmlAMAimTxlaq7p2CX/+ueZub/LTVm2ZYvc0a37fHFfff1Nzrzo8vQf+MYCf+ehx3vl3Q8+WtLpAsB/ZeL0mbn44T65/og98tT5R6Z1k4a5+ZnXysV88PXYdHv5zXQ77cA8fu7f065po9zy3IAkyXVPvpI6NWvkiX/+PQ+cflAGfPRl+r+vbxkASye9qgFgfvVWWyF/er5rWu61U2WnAgD/lYnTZ+XiR/rl+kN3zlPnHJzWjRvk5ucGLTD2q/GTc8OzA1KaH79VuOX5N9KiYd08fuaBefCUffPI4Pcy/KsxFZU+ACy2idNm5uIHe+f6o/bMUxcdm9ZNG+Xmp14pF/PBqDHp1u+NdDvzkDx+/tFp16xxbnl23rvA64/aMz3/eWR6/vPIXHzgLqlfu2bO32/HSqgEABZu6pRJuafTZTnpH9fl6lseT7OWbfLo/Z0WK25g/2cz5tuvcvlNPXLZjQ/l4/ffzpsDX0yS3NPp0izTpEUuvaF7zr60S7rfdV0mjh9boTUCwM9Nmjo9l93VI9edclgev+YfadOscTr17F0u5svR3+emHs+m09lH56HLz8xRe2yXszt2S5Jc3/2p1KlVI49cfXa6XnxyBr77cV4d9kFllAIACzR5ypRcf9PNuej883L3HbelZcuWuefe+xY55vY770rtWrVzR5dbctP1/8nQt97K4CFDUlpamsuvujqHHnxQunTumCv+dWluv+vufPvtdxVeIwAszOQpU3LdzZ1z6XnnpOttndKqZYvcdd8D88V99fU3OfvCS/PagPJrXx7s+ViKi4tzZ6cbcmenGzJn7px0f+TxikofABbbzGkT8/yD52X3Izvl7xf2TcMmbfP60/+ZL27sqPfyVr97csAZD+ew857JMs3bZ+CzNydJBj57c+o3apHDznsmB539aN4d8HC+++Kdii4FABZoypTJuenG/+S8Cy7O7Xfek5YtW+W+e+9e5Jhvvvk69erVT6fOt5X9t80225XdO3fu3Fx/3TUpKiqs0LoAYEGmTJmczjf9O+ecf3k63fFAWrRcNg/ce/six7zw3FP57tuvc9Ot9+aaG2/PM70ezciPP0ySdL7h6jRp0iz/6XR3Lr3y+txzW8dMGP99hdcIAAszaeq0XNGla64+87g8ctO/0rpF09za/YlyMV99NyadHngsN59/ah649qIcsdeuOff625Ik9z3eO8XFJXnwuovy4HUXZ87cwnR9sk9llAIAi2TG1Il5/M4LctApN+eMa5/LMs3bpO/C9uV7+Locfs4dOeWKJ7J1h+PT/Yd9+V556raUlBTllCt75ZQre6WocHb625cPgKXQjGkT80zX87L38Z1ywuV9s0yztun3+PzrWyaM+TwvPXpdDjj1rhxzca9ssdsJeazLKUmSEYN7ZcKYL3LMJU/n6It6ZdQnQ/LRW+Z9ACydZkybmKfuPT/7nNgxJ13ZJ42atc1Lj80/5xv/w9h30Ol35thLnswWu52QR26dN+fb94SOOfaSJ3PsJU9m98MuT63aDbLLwRdXdCkA8KtmTJuYp+87L/uc0CknXtE3jZr+8pzvwNPuyjGXzJvzPfp/c75B8+Z8x176dI65uFe++nhIPjTnAwAAAAAAAEjXrl2z3Xbbzfdf165dy8V9//33adasWdlx8+bNM3bs2IVeb9asWcaOHZtJkyalXr16qVatWrnzv1XBb74TKsDJJ5+cvn37lh3vtddeeffdd3PEEUdkzz33zIEHHpgPPpi38cyYMWNyyCGH5K9//WvOOuusbLnllkmSGTNm5Nxzz81ee+2VDh065JlnnkmSXHHFFXnvvfdy2WWXpaioKBdeeGH233//bLfddjnxxBMze/bsJMmcOXNy2mmnZY899sjJJ5+cKVOmlMuxuLg4V199dfbcc8/sscceue+++8rls9dee2WfffbJsGHDlvC/FvBTw98emhVXXj2tWrdNkuyw6555/ZUXUlpaushxEyeMz9DBr+X8f5VfVDz6u29Sp269rL3eRkmS1m2XS+06dfPJh+9VQGUA8MuGvvNuVl15xbRZtlWSpMMuO+al/q/NNwY++Wyf7Lrjdtnqz5uWO3/KMUfkhCMPS5JMnDgphYWFqVunTsUkDwC/waCRX2etNs2yXNNGSZL9Nl0zvYeNnG/smzW3MOf3eDFn7/bn+X5j6OffZsAno7LPJmtWRMoAsFjefvvtrLLKKmndunWSZLfdd8/LL79cbqxblJjCwsJcf/31Oe7YY8teQr766qtp0rhxjjr66AqsCAAWzaD3PskaK7RNu5bzxq19tt0szw16p9z4VqNatVx05L5p1qhBkmSN5dtmwpRpKSwqykdffpNdN98wVQsKUr1atWyx7mp5aei7lVILACwK7/kA+F/z9ScD0rzt2mnUrH2SZM3NDsjId56eb+xr1matHHhu39SsXT9FhXMyY+rY1KzbKElSWlqSormzUlw0NyVFc1NSXJiq1WtUcCUA8Os+f//1LNt+7TRu0T5JsuHWB+a9N+Yf96pWq5HdDrsi9Rs1T5K0Wm6tTJ8yft5YV1KcwrmzUlw4N8VFc1NcXJhq1WtWdCkA8KsGfz46a7ZqkuUaz3uHt+/6K+e5D74sN+7NLSrOx2MnpevgD7PvXc/mrMdfy+gpM5Ik30+bmVc++Sa37r9NpeQPAItjyPD3svpKy6ftsi2TJHvutE2ef23QfPO9x557KX/dfstss9nG5c5//NmX2WmrzVO1akGqV6+WzTdcJy8PGlph+QPA4hoy/P1yY99eO22b518bvMCxb4/tt8y2Pxv7Pvrsq+xcbuxbNy8PerPC8geAxTF02HtZfaUVfpzz7bxtXljAnO/x517K7ttvlW0236Tc+ZKSksyaMyeFRYWZW1iUwqKi1KhevcLyB4DFNeijL7NWu5ZZrvkySZL9/rxeer/1Qbmxb422LfPUhUenfu2amVNYlO+nTE+jOrWTJB98PTa7b7zGD9/zVc1f1lwhLw7/uFJqAYAFmdebZeUfe7Pstlv6vfzKAvq3LDimpKQks2fPTmFhYQoLC1NUVJQaNeZ9v1BSUpLp06cnSWbNnFV2HgCWBkPefT+rr9g+bVu1SJLstePW6fvaG+X7t1SvlvOOPzxNl2mUJFltxfaZMHlKCguLMm7i5Lw65J3cdOHplZA9APw2774zJCusvHpaLTtvH6Ltd9krA/r3ne9d36/FfTDi7Qx/e3C22+VvFZo/ACyqocNGZPWVf7q+Zbu88OrABaxveTG777D1oq1vqWF9CwBLl/eGDc7yK62Rlsu2S5Jss/PeGfRqn/nGu0WJKyoszF03X5aDjjozTZq1TLXq1XPj3b2z3AqrprS0NOPGfpt69RtWXHEAsBhGjhiQtsuvlaYt2ydJNt3ugLwz8Jn5+5hVr5G9j748DZaZt79Dm+XXyvTJ41NUNLeiUwaAX/TzPfd23223X92X76cxC1rXWf2H9ZuvvvpqGjdpkqOPOqriCwOARTRyxIC0WeGn87wDM2wB87xq1Wpkr6MvT4Mf+lX/dJ7XfrWNs02H41NQUJCCgqpZdrnVM2n8dxVdCgD8osEjPsoaK7RLu5bzxrJ9tv9znhvw1nzfNFx09AFpusy8d3VrLN8uEybP25P22deG5pBdt0nDenVTUFCQ84/cP7tusfEC/xYALA2GvjM8q6304560e+y8Q17s//p8870nej+f3XbYdr49aZPknRHvZ8jbw7PHzjtUSM4A8FsN+virrNW2ZZZr9n99y9ZN77c+/FnfshZ56oIjy/ctq1srSfLBN2Oz+0Y/6Vu2xvJ5cfjISqkFAH6NXtUAML/lTjg4X9/zSEY/1qeyUwGA/8qgkaOyVtvmWa5poyTJfpuuld7vfDLfnG/W3MKc//ALOXv3LcqdP3ePv+TM3f6cJBk/dUbmFhWnXi39qQFYeg366Ius1a5VlmveOEmy3xbrp/ebP9ufqF3LPHXxcalfu9a893yTp5XtT/R/CouKc9EDz+ScvbdLy2UaVGgNAPBr3h82KMuvvEZalPUk2yeDX31uvrneL8WVlJRkzpxZKSyam6LCwhQVFaZ6jZqZPm1K3h/+RvbY/5gkSeOmLXLhNV1Tt77xEIDKNei9T7LGCm3TruW8/mP7bLtZnhv0Tvlv+apVy0VH7ptmjeaNW2ss3zYTpsz7lu+jL7/Jrptv+MO6zmrZYt3V8tLQdyulFgBYkLfffierrrxyWrdeNkmy+267pN8r/X/Wt2zhMSM//TTbbbtNqlatmurVq2eTjTfO668PSGFhYQ458MBssP56SZJmTZumYcMGGTd+fIXXCAAL8+Y7w7PqyiulzbLzxrg9dtkpL/V/bb5nnr2efS677rB9tvzzZuXOr7PmGjl4/31SUFCQqlWrZqUVVsjYccY6AJZeX330elq2WzvLNG+fJFlniwPz0ZtPzzf2tWi3Vv5+Ud/UrF0/RYVzMn3y2NSq2yhJsvXeF2TLv52bJJkxdVyKiuamZq36FVkGACzU22+/lZVXWbVsD4Zdd9s9r7zc72fPOxce8+EHH6SgakH+cc6ZOfnE4/JQ9wdSXFxcdm+XWztlux12TIMG9uMDoPINf3toVlp5tSzbuk2SZKfdOuS1V14sN+79Uswbg17LttvvkqpVq6Ve/frZYstt8+rLz2fatKl5d9ib2e+gvydJmjRtnn/feFvq1bOeE4ClxxvDP8jqKy6Xdq1aJEn22mGr9Hn9jXLjYPVq1XL+cYeV7dOw+grLZcLkqSksKsp6q6+SI/fadd57voKCrNq+bcaMm1AptQDAohj53oC0/sm+fH/a9sAMH7Tgffn2POrHfflaL79Wpk/5YV++VTfONnv8uC9fq+VWz2T78gGwFPrig9fTarm107hF+yTJBlsdmPffmH99S9VqNbLbYVek/g/jXqvl1sr0qeNTXDQ3pSXFKZwzK8WFc1NcNDfFxYWpWr1mRZcCAIvk8/cHZNn2a6fJD2PfRlsfkPcWMPZVq1Yjux9+ednYt2z7eXO+4qK5ZTHFRXPT655/ZscDzkvDxq0qrAYAWFSfv/96lm3/45xvw60PXOC4t8A53w/jXklJcQrnlp/zVTPnAwAAAAAAAMjhhx+el156ab7/Dj/88HJxJSUlqVKlStlxaWlpueOFXf95XJL5jhdHtd98J1SADh065Omnn85OO+2UL7/8MnPmzMlVV12Viy++OGussUY+/fTTnHTSSenbt2+uvPLK7LLLLjn44IPzwgsv5JlnnkmSdOnSJWuuuWauueaaTJ8+PQcccEDWXXfdXHjhhencuXMuueSSDB06NNWrV0+PHj1SUlKSww8/PP3798+aa66ZCRMm5NBDD81GG22Ua665JrfcckvOP//8shx79uyZJHniiScyd+7cHHXUUVlrrbUyePDgbL311jn66KPz6quv5q233sp6661XGf+M8D9pwvixadK0edlxk6bNMmvmjMyaNTN16tRdpLjGTZrm7Auumu+3W7Vum9mzZ2f420Oy7gab5NNPPsw3o77I5EmaJQBQ+caNH5/mTZuWHTdr2iQzZs7KzFmzUrdOnbLzpx1/dJJ5G4X8VJUqVVK1atVceX3H9B84OH/ZdJO0/WGjLABYGo2ZMj0tGtYrO27RoF6mz5mbGXMKU69WjbLzlz/RP/v8ac2s3KpJufu/nzoj1z79em49Yvc8OuT9CssbABbVuPHj07RZs7Ljpk2bZubMmZk1c2bq1K27yDHP9+2bJk2aZPM//7ksbrfddkuSvPDCCxVRCgAslrETJ6dl40Zlx80bN8yMWbMzY/ac1KtdK0mybLPGWbZZ4yTzFtbc0P2pbLX+GqlerVrWWrFdeg98K+uu3D6FRUV56c0RqVa1amWUAgCLxHs+AP7XTJ88OvUatSw7rtewZebOnp7COTNSo1a9crFVq1bPF++9mFceuTBVq9XIxjuemiRZdaM989nwPul2xVYpLSlKm5X/nPZrbFuhdQDAopg6aUwaLPPjuNdgmZaZM2t65s6ekZq1fxz3GjVtk0ZN5216XFpamhd6Xp1V1t02VavVyLp/3isfvtUnN/9jy5QUF2WFNbfIKusa9wBY+oyZNjMtGvz4TLN5gzqZPqcwM+YWpV7N6kmScdNnZePlWuSkrdbJik0bptsbH+aMx17NQ0fsnOb16+T6vbesrPQBYLF8P35imjdtXHbcrEnjH97xzU7dOrXLzp91zKFJkiHD3it3/5orr5C+/QdmndVWztzCorwy+C3rWwBYqo0dPzEtyo19y/zK2Ff+e701V14hffoPzDqrrZS5hUV5efCbxj4AllpjJ0xYpDnfmcccliQZOrz8nG+Xbf6SfgOH5G9Hn5bi4pJsst5a2WLj9SsmeQD4DcZMmpYWjeqXHbdoVD/TZ8/NjDlzU6/WjxsVV69aNf3eHZnLHu6b6tWq5sRdtkiSrL1cqzwz9IOst0LrFBYV58XhI1OtakGF1wEACzNu3Lg0a/pjb5ZmP/Rm+en3e78Us8P22+e111/PIYcdluLikmyw/vrZ9E9/SpKcdOIJ+ed55+eJJ57M5ClT8s9z/5Gqnn0CsJQYO9/6lmUyY1b5Z52tmjdNq+bzvnMvLS1Nx6498peN1kv16tXSrHGj/PuckyoldwD4rSaOK78PUeOF7Ff0S3FzZs1MtztuzLmX3ZiX+jxZkekDwCIbO35imjf5cd+Fha5vOXbeJrpDh40od/8u22w5b33LUaf+ZH3LBhWTPAAsoonjx6Zx0xZlx42bNs+smTMye9aM1K5Tb7HiXn2xVxo1bpoNN92mLK5atWqZMnlCLjnz0EyfOjknnD3/3rUAsDSYPGFMGjb5sY9Zw8YtMmfW9MyZNSO1fjImNm7WOo2btU4y793fMw9ek9U32DbVqtWY7zcBoDKNHzcuzX6yL0PTBazr/KWY7X9Y13noYYeluLi43LpO+/IB8P+DKRPHpGGTVmXHDf5vnjd7Rmr9pF/1Ms1aZ5mfzPOe7X5NVt9gm1SrViOrrP3jvrSTxn+bAX27Zc8jL6u4IgBgEYydMCktyu1J22jenrSz5qRenf/bk7ZJlm02bw1MaWlpbnzwiWy5wVqpXq1aRo3+PhNXbJdTrumScZOmZP1VV8ypB+5RGaUAwCL5fvyENGv6k7WdC9mT9vTjjkySDB32brn7x0+YmM533ZdrLzk/T/V9sWKSBoDfaMykqeX7ljX8hb5lI0bmsh7Pp3q1ajlxl3nPNtderlWeefODrLf8svqWAbDU06saAOb3/mmXJ0ma7vDnX4kEgKXbmMnT06Lhj2s3WzSsl+lz5mbGnMLUq/Xjd3mXP/5K9vnTmlm5ZZNy91epUiXVqlbJeQ+/kBdHfJZt11wh7Zs1qqj0AWCxjZk0NS2W+en+RA0yffaczJg9N/Vq/+w93/BPctlDz83bn2i3v5T7nScGDU+zBvWy3bqrVljuALCoJo4fm8Y/6dOyTJNf6F22kLgttvlr3hz4Ys46apcUFxdnrfU2zXobb5nPP3kvDZdpmuefejAj3h6YwsK52bnDoWnZerkKrREAfm7sxMlpWe5bvobzvuWbPSf1av/ft3yNs2yzeWtgSktLc0P3p7LV+mukerVqWWvFduk98K2su3L7FBYV5aU3R6SaffgAWIqMGzcuTZv92JNsYfvRLixmtVVWzUv9Xs6aa6yewsLCvD5gYKpVq5oaNWpk5512LLun93N9MmvWrKy+mmefACw9xo0bX64357xv2GfO9w37qccfkyR5851h5e7faIP1yv732O+/z+NPPZMzTjp+ieYMAP+NaZPHpN4yP77Hq9+oZebOnp65s2ek5k/6dSZJ1arV8+m7L+aFhy5I1Wo1su+upyaZt76zStVqea7b2Rk5rG9WWmeHLNNi+QqtAwAWZvy4cWnatFnZcdOmzTJz5sxye6//UkxxSXHWW2+D/P2II1NUVJzLLrkwderUSYe/7ZW+fZ5LUVFxdt551/R8+KEKrw0Afm78uO/TtFnzsuMmTZtl5swZPxv3Fh4zfvy4+a599cVnGfPdt2m0TJM8/WTPvP3mGykqLMwee+2fZVu3rbjiAOBXjJ0wKS2a/Ni7rHmTZX7Yp2F26v3Qu2zZ5k2zbPN57wJLS0tzc7dH8peN1k31atWy6bprlN07etyEPPzcSznvmEMqtggAWAxTJoxJw8aLvy9f7+7XZLUf9uVb+Wf78g3s2y1/O8K+fAAsfaZOHJMGjX9c39JgmZaZs4D1LY2atkmjpm2SzBv3Xnzk6qyy7rapWq1G1tl8r3z4Vp90PHfLlBQXZfk1tsgq625b4bUAwKKYOnH0/GPfrF8f+57v8e+sst42qVrtx96e77z2WOo3ap7VNtih4goAgMUwddKYNFhm8ce9F3r+OOdb98/z5nw3/2PenG+FNc35AAAAAAAAAJKkQYMGadCgwa/GtWzZMm+++WbZ8bhx49K8efNy18eNG1d2PH78+DRv3jyNGzfOtGnTUlxcnKpVq8533+Iq+M13QgXYaqut8s4772T69Ol55plnsuuuu+a9997Leeedlw4dOuSss87KzJkzM2nSpAwYMCAdOnRIkuywww5l/0ccOHBgHn744XTo0CEHH3xwZs6cmZEjR5b7OxtvvHEOOuigPPjgg7nyyivz5ZdfZubMmUmS5ZdfPhtttFGSpEOHDhkyZEi5ewcNGpR+/fqlQ4cO2XfffTNmzJh8/PHH2WyzzXLPPffkrLPOyuTJk3PIIT6ihopUWlqaKlWqzHe+oKDgN8X9VJ06dXP2hVflyZ7dcs7Jh+fVfn2y1jobplq16v994gDwXyopKc38I9svj20LcsFZp6bXA3dn6vTp6dbj0d8nOQBYAhY+r/vxXI9B76Vq1YLsudHq5WIKi4vzz4dfyNm7/znNGtRd4rkCwG9RWlKy4Hle1aqLFfPEk0/mgAMP/P0TBIAlpLS0dIHnqy7gWeesOXNz7i0P5OvvJ+SiI/dNkpxxwF+TVMnBF9+Ys26+L39ac5VUr1Z1vnsBYGnhPR8A/2tKS0uSBYx+VRYy9i2/1vY54rLB2WjHk/PMXUentKQkb75wS2rXa5y/X/x6Dr2gf+bMmpJh/e9ZwpkDwOIrLSlJFrC+ZWHj3tw5M/P47adl0vejsvvhVyRJXn26c+rUb5wzrh+QU699NbNmTM7g5417ACx9SksXNNtLqv5kLGzdqF46779NVmrWKFWqVMlhf1o930yalu+mzKi4RAHgd1BSWpoqCxj5FvUd38l/PyCpUiV/P/uSnHdNx2y87prWtwCwVCv9L8e+U/5+QKpUSQ4/+9L885pO2WTdNVO9WrXfO00A+F2Ulix+b7KfurfnE1mmYf08fU/nPHHnTZk6fUYe6vXc750mAPxu5vVvmf98wQJObrvOyul/1ck5YefNc8Jtj6SkpDRn/W3rVKmS7H9tt5x+1xPZbNXlUr2q550ALD0W1qvsp9+u/1LMg927p2GDhnnowQfzQLeumTZ9Wh57/PHMnTs3V//73znrjDPywP3dct2116RTp87lNpgAgMo0b33L/Bb0rHPW7Dm54Ibb8s2YcTnvhMOXfHIAsISUlC74e76fj38Li0tpaTpdd3EOPfq0LNO46ZJKEwD+awt9x1ewoJng/O7t8USWadAgT997S5646+Yf1rf0/p2zBID/zsLXc1Zd7Li+Tz+Uv+571HwxDRs1yU339M6F19yTuzv9K2O+/ep3yBwAfl+lpSWL9Y3D3Nkz82CnMzJ+7Kjsc/S/lnR6ALDYSkpLF/iu7qfrOn8pZt66zgbp/uCDub9bt0ybPj2PPf74Es0ZAH5PpaUL2X+2ysLned07nZEJY7/KXkddXu7at1+8n9uvODSb7XBwVl9/myWQLQD8diUL/WZv/nOzZs/JPzvel6/HjM9FxxyQJCkqLs4bIz7O1acckfuvODtTZszMrY88u8TzBoDfamHfqy9K77KioqJcfn3HnHTU4WnSeJklkR4A/K7mvc5bwLi3gOec2669cvpfcVJO2GmznHDbY/P6lnXYKlWS7P+f+3P63b30LQNgqaZXNQAAwB/XovRv6TFoRKoWFGTPjddY6O9cfcAO6X/xkZkyc3Zuf3HokkgVAH4XC1/fsoD9idZdJf3/fVpO2GWLnHBrj5SUlJZdu//loTlm582XaK4A8FuVlpZmQR/wzde77BfievW4I/UbLJOb7n0h19/VOzOmT0mfXvenuLgo48d+m1q16+b8q+/J8WddnYfvvT5ffvbhEqoGABZNaWnpAs9XXdD+RHPm5txbHsjX30/IRUfumyQ544C/JqmSgy++MWfdfF/+tOYqqV7Nuk4Alh4L/269YJFijj36yFSpkpx46mm59PIrs8H666VatWrl4nr0fCT3P9g9l118cWrWrPn7FwEAv1HJQte3LNo3Df/nk08/y+nnXpQOu+2SzTbZ6HfKDgCWgNKSVFnAi7yFjX0rrbN9Trj6jWy2yyl5vMtRKS0pKbu2y2H/yfFXD87smVMyuM8tSyxlAFgci9Kr7Jdidt551xx/wkmpVat26tWrl7/tuXcGDRyQTz8dmed6P5OTTj51ieYPAIujtLRkIWs1CxYpZt4cr8pPYktTUFCQ4uKifD92dGrXqZOr/nNLzjj34tx7Z+d8NvLjJVAFAPw28/agnf/8Atd2zp6T82+8I1+PGZcLjju03LUPP/8qx11yXfbdaetsseE6SypdAPivLWzsW+j+63Nm5uHOZ2Ti2K+y55Hz78t35xWHZtPtD85q9uUDYCk0b9ybf+Cr8gvj3uO3n5aJ34/KboddkSR57enOqVOvcU7/z4Cccs2rmT1jcgY/f88SzRsAfqvShazt/KWx77HbTs+kcaPy18OvKHftjRfvyxa7Hb9E8gSA30NpSUkW9LDz1+Z8k74fld1/GPdefbpz6tRvnDOuH5BTr301s8z5AAAAAAAAABbL5ptvnkGDBmXixImZNWtWnn/++Wy55ZZl11u3bp2aNWvmrbfeSpL06tUrW265ZapXr56NNtoovXv3TpI8+eST5e5bXNV+PQQqT40aNbLNNtukX79+6dOnT26//fbcfffd6dWrV1nMmDFj0qhRo1StWnWBG9uUlJTkuuuuy5prrpkkGT9+fBo2bJi33367LOall15Kx44dc9hhh2WvvfbKpEmTyn7rp83+S0tL52v+X1xcnHPOOSc77rhjkmTixImpW7duatasmWeffTavvPJKevfunSeeeCL33nvv7/ePA8yn5wN35c03Xk+SzJo5I+3ar1h2beKE8albr35q1apd7p6mzVrk048/+NW4nyopKUmtWrVzyb87l507/dgD0qJV69+rFAD4zVo0a5oPPxlZdjxuwsTUr1c3tWvVWqT7h7w9LCss1y5NmzRO7dq1s92Wf86rA99YUukCwH+tZaN6GfH12LLj76fOSIPaNVOnRvWyc73e/iizC4uyX8ceKSwuyZzC4uzXsUfO22PLfDNxSq5/dkCSZPy0mSkpLc3couJcureGQAAsHZo1b56PP/6xKfn48eNTr1691PrJPO/XYj779NOUFBdn7bXXrrjEAeC/1LJxo7z32aiy43GTpqZB3dqpXbNGubjREybljBvvzfLLNs/t/zw+tX6YD06fPTun7b9bGtarkyS55+mX0rZ504orAAAWk/d8APwvGNK3Y758v1+SZO6c6WnScpWyazOmjk3N2g1TvUadcvdMGf9VZk4bn1bLb5gkWW3jvfPqY5dmzqwp+XzEC/nL3y5I1Wo1UrVajay64d/y+Yi+WW+rIyuuKABYiFd63ZyRw+aNe3NmT0/z1j+Oe1Mnj02tOg1To2ad+e6bMuG79Oh8fJq2WjGHnN0t1WvMmxd+/PYL2enAC8vGvXU22zMfvtU3m+5o3ANg6dKyQZ2M+G582fH302alQa0aqV3jx29zP/l+Uj4ZOzm7r7182bnSJNUW0iAdAJZWLZs2yQcjPy87Hj9h0g/v+Gou0v0zZs7OSYfulwb16yVJuj72dFq3arFEcgWA30OLpo3z/sjPyo7HLfbYN+tnY98zaWPsA2Ap1aJZk3zwk3Fvced8/Qe/mTOOPjTVq1dL9erVssvWW+SVQUNyYIddllTKAPBfablM/Yz4anTZ8fdTpqVBnVqp85Pv+UaNm5TxU2dkgxXbJEn+tunauaLnC5k6a3ZmzSnMGXtslYZ15/XxvOv5wWnXtFGF1gAAv6RZs2b5qFxvlgnz92/5hZgBAwflxOOPS/Xq1VO9evVsv912ef31AVl7rbUzZ/ac/OlPmyRJVl9ttbRbbrl89PHHadasWcUVCAAL0bJp43ww8ouy43ETJ6d+3TrzPescM25CzrmmU9q3bpXOl5ydWj/r7wIAS7tHHrgjbw+Zt1/RzPn2Kxq3kP2KWuazTz6YL+6br7/I92O/ywN3d0ySTJ40ISUlJSmcOzfHnnp+BVQDAIumRdMm+eCTBa1vWbS+Zf0HD80Zxxz24/qWbbbIKwOH5sAOuy6plAFgkTze/ba8M+TVJMnsWTPSZrmVyq5NmjAudes1SM2fzfGaNGuRz0e+t9C4rz7/OCXFRVltrQ3KYmbOmJ4PRwzNhpvO25+o/YqrpW37lfP1V5+lZevlllh9ALConn+0Uz54+4c+ZrNmpGXblcuuTZ00NrXrNkiNWvP3MZs0/rt0veGkNFt2hRx3wX1lfcwAYGnSvFmzX92X75diBg4cmBOOP/5n6zpfz9577VWhdQDA4njhsY758O2XkySzZ01Py7Y/6Vc9aWxq1224wHne5PHfpesNJ6b5sivkmPO7lpvnDR/0bHp1vTx7HHZh1tt89yVfBAAsppZNlsl7n35Vdjxu4pQ0WNA3DeMn5ozr70z7ZVvktgtPTq0a875paLZMw2yz8bqpV2fe+LfrnzfKnU/0rbgCAGAxNW/WNB9+8mnZ8fjF2JP2408/z3djvs8t93RLkkycNDklJSWZO3du/nHK8UssZwD4rVouUz8jRv20b9n0H/qWVS87N2rcpIyfNiMbrPBD37I/rZUrHnlxXt+yuYU5469b/ti37IU39C0DYKmlVzUAAMAfV8tG9TPi67Flx99PnZ4GtWumTo0fn3X2evOjzC4syn43PZzC4pLMKSzOfjc9nM5H/jUjR0/Iyq2apHmDuqlTs0Z2WW/lvPje5wv6UwCwVGjZuEFGfPVd2fHC9yeang1WbJsk+dtm6+SKHn0zddbsNKpbOx9+PSbFJSXZaKV2FZ4/ACzME927ZNjQeb3LZs2akTbtFqF3WdOW+fyTBfcue3vwyznomHNSrXr1VKtePZtvs3veHPhSNtx02yTJFtvtkSRp0aptVl5tvXwx8r20X3H1JV0mACxUy8aN8t5no8qOx02amgZ1a6f2z/YfGj1hUs648d4sv2zz3P7P41Prh2eh02fPzmn775aG9eZ9737P0y+lbfOmFVcAAPyK5s2a5aOPPyk7Hj9h/v1ofynm+++/z1FHHpEG9esnSR7q0TPLtmqVJJlbWJjrb7gpX309Kjdef11atmhRQVUBwKJp3qxpPvpkZNnx+AkTUr9evUXenyhJ+r36ejp2uTOnHHd0ttv6L0siTQD4rwx89uZ8/t4P+zLMnp6mrX7s1zl9ytjUrNMw1WuW79c5edxXmTF1XFqvuFGSZM1N985LPS7J7FlTMnbUe2m67Cqp17BFatSsm1U33C0jhz1fcQUBwC9o1qxZPv74o7LjCePHp97P9l7/pZh+L72Y5VdYIcsvv0KSpDSlqVqtWvq99GJmzpyZc84+PUkyceKE/Oe6f+fIo47JnzbdrGKKA4CfadqsRUZ+/GHZ8YQJ8497vxTTtFmLTJo4vuzapIkT0qRp8yzTeN66lm23n7cPe6tl22T1NdbOyE8+zIorr7qkywKARdKiaeO89+mXZcfjJk5e6D4NZ11zS9q3bplbLzmzbJ+GJHl+wNBcd3f3nH3kgdlpi00qKnUAWGQvPtYxH74zb1++ObOmp0WbBezLV3PB+/Ldf+OJabbsCjnqvPL78r07+Nk81fXy/PXQC7OuffkAWIr073VzPhk+b33L3NnT06z1j+PetMljU6vOgse9KRO+S89bjk/TlivmkLO6lY17H7/zQnY84MJUrVYjVavVyNqb75mP3uqbTXc8smIKAoBf8cqTHcvGvjmzpqf5T+d8vzL2PdzphDRttWIOPbv8nG/0qA9SUlyc5Vb1vBOApcsrvW7OyGE/ftPQvPWij3s9Oh+fpq1WzCFn/2TO9/YL2enAH+d862y2Zz405wMAAAAAAABYZC1atMgZZ5yRww47LIWFhdlnn32yzjrr5Jhjjsmpp56atddeO//5z39y4YUXZvr06VlzzTVz2GGHJUkuueSS/POf/0yXLl3SqlWr3HDDDb85j4LfqyBYUjp06JB77703jRo1SuvWrdO+ffv06tUrSTJgwIAcfPDBSZLNNtssTz/9dJKkf//+mTp1apJk0003zUMPPZQk+f7777PHHntk9OjRqVq1aoqKipIkgwYNyi677JK99947DRo0yBtvvJHi4uIkyWeffZYPPvggSfLYY49l8803L5ffpptump49e6awsDAzZszIQQcdlGHDhuXaa6/NU089lT333DMXX3xx2W8AS85+hxydazvdl2s73Zcrrr8jIz9+P6O//TpJ8kLvJ7PRpvM3Ll9n/U0WKe6nqlSpkn9fek4+Gzmvkd7AV19K9Ro1s9zyK/3ifQBQETZaf918+PHIfPPd6CTJ0889nz//aeNFvv+V1wem68OPpLS0NHMLC/PK64Oy/jprLal0AeC/ttnKbfPu12Pz1fjJSZJH3ngvW6+xfLmY7iftk8dPPyA9T90/nf++W2pWr5qep+6f9du3yvP/PDw9T90/PU/dP/v+ac3suPZKuXTvbSqhEgBYsA022CAfffRRvv322yRJ7969s+lmmy1WzIgRI7LOuuumSpUqFZc4APyXNl171Yz4bFRGjRmXJHm036Bstf6a5WJmzJqd466+LdtuuFauPvGQ1KpRvezaY/0G57bH+yZJJkyZlif7D8nOm61fcQUAwGLyng+A/wWb7HRq9jvzyex35pPZ65QeGTtqeCaP+zJJ8v6gh9N+zW3nu2fG1HF54cEzM2vGpCTJyLefTuOWK6dW3WXSrPUa+XR4nyRJcXFhvvzg5bRot15FlQMAv2jrDqflmEt65ZhLeuWI83rm28+HZ+LYL5Mkb/d/OKust91898yZPT33/+fQrLb+jtnr2BvLNT5v2W6NfPDmc0mS4qLCfDK8X1qvsG6F1AIAi2Oz5VtlxLcT8tXEed/4PvrOyGy9cptyMQVVquTaF9/Mt5OnJ0keeXtkVm7WKC0azN8gHQCWZpust1be/+SzfP3dmCTJE8+/nL9svOjrU558/uXc+fATSZKJk6fkmRdfzY5/2XSJ5AoAv4d5Y9/nZWPfk//l2Pf0i69mh7/8aYnkCgD/rU3WXbvcnO/J5/vlLxtvsMj3r7JC+/QbOCRJUlRUlNeHvp01VtGjDICl12artc+7X36Xr76ft17zkQHDs/Va5ceu8VNn5NyuT2fS9JlJkt5vfpCVWjVNo7q188iAYbnluQFJkglTZ+Txwe9mlw1Xr9giAOAXbLjBBvnoo4/LerM827t3Ntt000WOWWnFFfPqa68nmTfPG/zGG1lttdWy7LKtMmPmzLL+89+NHp1Ro0ZlxRVXrKjSAOAXbbLumnlv5Gf5evTYJMkTz7+SLTder1zMjFmzc9Kl12XrP22Qy884LrVq1qiETAHgv7PvIcfm6o7dcnXHbvnXf+7MyI/fy+jv5u1D9NJzT2TDP2053z1rr7/JAuNWWW3tdL63V9nvbbfLntn0L9vl2FPPr9CaAODXzFvX+emP61v6vpS/bLIY61tWbJ9+A95I8sP6liHvZI1VPdsEoPLtddDxufym7rn8pu656Jp789nH72XMd6OSJC/3fSzrbzL/HG+t9Tb9xbiP3nsrq6+9cbm9GgoKCnJ3p8sz8sPhSZJvR32W0d9+mRVXKd8DGwAqy477nJLTr3oip1/1RE669KGM+vTdjB/zZZJk8Es9ssYG8/fvnDNrRu648u9Zc6Ptc/DJ15frYwYAS5MF7bn383WdvxQzb13na0nKr+sEgKXZDnufmlOvfCKnXvlETrzk4Xz96fCyed4bvzTPu+rwrLnRDjnw5BvKzfM+fPvlPH3/VTnyH3dlvc13r6gyAGCxbLr2annv0y8zasz3SZLHXhqQrTYsv6/ejFmzc9wVnbPNRuvk6lP+nlo1fvymYdtN1suLb7yT2XPnprS0NK+8OSJrrNCuQmsAgMWx8Xrr5IOf7En7VJ8X8udNNlqke9dcbZU8cs+tufuma3P3Tddmj513yDZbbJ5/nHL8kkwZAH6zzVZtn3e/HJ2vxv3Qt2zg8Gy9VvlvEsZPnZFzuz37Y9+ytz78sW/ZwOG5pc/AJMmEaTPy+OAR+pYBsNTSqxoAAOCPa7NV2ubdUWPz1fjJSZJHBr+frddYvlxM91P2zeNnHpiepx+QzkfsnprVq6bn6QekeYO6ef7dT3PbC0NSWlqauUXFef7dT7PJiq0roRIAWDSbrbb8D/sTTUySPPL6O9l67ZXLxYyfMj3n3vfUj+/5hr5f9p4vSd769Otssspy5fq4AEBl2/OgE3LZjQ/lshsfyoX/vi+ffzIiY3/oSfZK30ez3iZbzXfPmuttutC4diuulqEDXkiSFBUVZtiQV7PiqmunWYvWWW6F1TLw5WeSJFMmT8inH7+b9iuuURFlAsBCbbr2qhnx2aiMGjMuSfJov0HZav3yvTVnzJqd466+LdtuuFauPvGQ1KpRvezaY/0G57bH+yZJJkyZlif7D8nOm61fcQUAwK/YcIP189HHH+fbb79Lkjzb+7lstumfFjnmmef6pNsDDyZJJk2alD59n882W8+bA1573fWZOXNmbvrPdWnZokVFlQQAi2yj9dfLBx9/km++mzfGPf3c89n8Txsv8v0DhwzNLXfcnWv+dVG22/ovSypNAPivbL7baTnk3F455NxeOfDMnhnz1fBM+v7LJMm7rz+cFdfebr57pk8dl973nZlZ0+etg/nozafTpNXKqV13mXzyznMZ/NwtKS0tTVHh3HzyznNpt8qm8/0GAFSG9TfYMB9/9OFP9mB4Jptuutkix3z11Zd58P6uKS4uzpw5c/LM00/lL1tulWOPOyF33HVvOnW+LZ0635bGjZvk7HP+mT/97LcBoCKtt8HG+eTjD/Ldt98kSZ7v/VQ23vTPixyzyaZ/zksv9E5xcVFmTJ+W1/u/lE022yItWrbKCiuukpdf6pMkmTxpYj7+6P2stPKqFVgdAPyyP62zRt4b+XlGjR6bJHn8hVfzl43WLRczY9bsnHDZ9dlmk/Vy5enHlNun4bW3hueG+3qk4wWnZactNqnQ3AFgUW2/96k55YoncsoVT+T4Sx7O15/9uC/fkH49svpC9uW76+rDs8ZGO+SAk362L987L+eZ+6/K38+5K+valw+ApcxWHU7LMRf3yjEX98rf/9kz330+PBPHfpkkebv/w1llvfnXt8yZPT0PXH9oVl1/x+x57I3lxr2W7dbIh289lyQpLirMyOH90nqFdef7DQCoLFv/7dQce8mTOfaSJ3Pk+T3y7WfDM+GHse+tVx7OqustYM43e3q6XXdYVttgh+x9XPk5X5KM+nho2q+2qf5lACx1tu5wWo65pFeOuaRXjjivZ75dxDnf/f85NKutv2P2WsCc74M3f5zzfWLOBwAAAAAAALDY/vrXv+aZZ55J3759c8wxxyRJ7rzzzqy99tpJktVWWy2PPvpo+vTpk+uvvz41fvhGs3Xr1rn//vvTu3fv3H333WnYsOFvzqFKaWlp6X9fCixZ22+/fY499tjst99++eyzz3LppZdm8uTJqV69ei699NKss846GTt2bM4999xMnjw5q622Wl566aUMHTo006dPz6WXXpqPPvooxcXFOfbYY7Pnnntm0qRJOfTQQ7P66qvn6KOPztlnn50kqV69elq3bp0VVlgh++67b44++uisuOKKGTVqVFZZZZX861//St26dbPtttumW7duadGiRa655poMHjw4RUVF2WuvvXLsscdm9OjROeusszJjxoxUrVo1p556arbeeutFrnnYyHFL6F8T/ne8M3RQune9LUVFRWnZqnVOOvPC1KvfIJ+N/Ci3d/x3ru103y/G/dT+u2+ROx98Jg0aNkqSfDDinXS9s2OKigrTaJkmOfaUf6RFy9YVXCH8cTQvGV3ZKcAfyuA3386d3bqnqKgoy7ZskfPOODmjx3yf6zp3yV03/6dc7L9v6pzll2uX/ffcI0kyffqM3NDljnzx1ddJkr9sukn+ftB+KSgoqPA64I+s8fsvV3YK8Ify2kdfpWPfwSksLk6bxg1z5X7b5ZuJU3PZ4y+n56n7l4v9dtLU7H3Twxl82bHz/U6XF4dk0ozZOb/DlhWVOvxP+Ha9v1Z2CvD/vaFDhuS+++774Rlmq5x99tkZPXp0Ot58czrfcstCY+rXr58kueWWW9K4ceMceOCBC/z9F154Ia+//nouu+yyCqsJ/qhafP9eZacAfyivD/8wnR95LoVFxWnTvEn+dewB+XbchFx+zyN56PIzc8/T/dLlsT5ZqW3Lcvd1Ofe4VK9aNRfd8XC+GTs+paXJEbtvk13/vGElVQJ/XFOXaV/ZKcAfivd8sHTr+fHalZ0C/OF89WH/vPHcDSkuLkzDJm2z7QHXpFadRvn+6xF55ZGLst+ZTyZJ3hv4UN4b2D0FBVVTt2Hz/GXPi9OgcZvMnjEprz15ecZ/+2GqFFRNm5U2zWa7/yNVq9X45T8MLJImjTRXht/TpyP6p9/j16e4qDDLNGuXDkddk9p1G+W7L0fk2a4X5phLemVA79vzypM3pXnrVcrde/BZ9yVJ+nS/PGO//iBVqlTN8qtvlu33Ne7B72X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I2NFD7dsCwNdGMZ/lS5JrRvXNPvv9LJcPmpz2Z/w2Q688L5WVFcv9PgCUwrsLF2TM4EvTuXufXDHi5mzQtFmm1LIO1hbXuXufXDpoci4dNDknnH5+GqzVMMeecm5dlwIANfoq+lumXDs6jZpsmCuHTc5lA8bmvntuyysvPZeK8vIM7vvbnNypW64YMjGHHXF8hg+4pK5LBIAkX/4eX5I8cP8fc363MzP/7XnLHDdq+KDsu3+bDBw6Jp26nJt+fS4xkwyAr4VizmnYdPOt0nfINdWvnXbZLXv9eL/sseeP66Q2APispX0rl6VLj97pN2JKNmy6SW6cUFt/y4rj7rplUl5+8a/V7zfdfKv0vmpS9es7O++eH+5zQHbb8ydFrwsAamNOAwDfJMWexZ4sndkwYsBFqagor7O6ACBZ2q8ydNAVOee8SzJ09KRs1HSTGntaaou595678tYbr2fQ8PHpO3BUfnfHzfn7y3/LBx+8n76X/zbHnXhqBg4blw6nd03/PhdXn9u9/NILueyKwRkwdGwGDB2bEzt0qvPaAfhmKuaMhvLy8gy4omdOPeOc9B86Pj8/8tgM6X959W++/Lfnc95ZHfPS356rs3oBoDbvvTs/1w7/bdqfNSAXXnVXGm+4ae68blCNsbNe/2eGXNI+z0y9r8bv77tjXP7xtxlFzBYAvpwFC99N7yGjc9m5XXLdsH7ZpOmGGTnpxuXi/j3zjXS5sFcefGLaMp9fdm6XjB/YO+MH9s65p7XP2ms1SNcOx9dR9gDw3y1c+E6GDOybbuf3zPCrJ2ajpptk4virVzrm5huuTWVlZQYNG5NBw8akrGxxbplyXZJk5LCrsu8BbTJo6NXp3PWcXNnbc+wAlN67Cxdk3JCLc/q5V6b3sFuzQdNNc/OkIZ8r7vGH7s6sN17NpYNuzMUDr8/LL8zIU4//KUkybkjPrN94o/QccF3O7jki1425MvPnza7TGgHg095duCBjh1yc07v1Te/ht2aDjZrlpolDP1fc4w/+Pm+98WouveqGXDzok7Xv/iTJ319+Nq0P/XUuGXRd9WvNNdeq0xoB4BPvLlyQkYMuT9cel2fgqE/2oK5537La4m6bMiGVlZXpO3Ri9Sz222+amCR5/713M2Zo30y4elCWxHw+AP63rP2trbPHvRPStN2BpU4FAL6QT+YOdenRO/1H3piNmjbLDSuYT1RT3E3Xjk6jJhuk77DJuXTAuPzpnlvzyktLn9cbOeiyNG6yYXpfNTHnXTYkE0YPzNvz5tRpjQCQLO3ZHDzwynQ/v2dGXD0hTZtunInjx6x0zORJ16RJkw0yZMTY9L9qeP5w91156W8vZPPNt8ygoaOrXzvv+r3s8+NW+eFePypFmQBQq2Lf8wOAUlq48J0MGjgg553/24y+emyaNt0448ePX+mYxx57NHfddWcu79UnI0aMStnistx2223Vx5aVlaXflX1TUVFRp3UBQG2+7Dz2m2+8NlWVlRk0dGwGDh2bssVluWXK5JSXl6ffFZfktDPOzsChY3P4kcfkqv69S1EiACyjmDNpk2TUVZemUeMN0+uqielx6ZBMHD1AfwsAJfPuwgUZM/jSdO7eJ1eMuDkbNG2WKbXMo60t7qknHsh9d0/JuZcMTa8hN6S8bHH+eMf11ceWlS3OSHP5APia+ORZha49emXAyE96VWp/pqGmuNumXJOqyspcMWRSdU/LHTdNzKabb5U+gydUv76zy+7Zc5/9s/ueLeu4SgBYsXcWLky/QYNz4Xk9Mm70iGzctGnGjp+wXNxrr83MueddkEcefbwEWQLAiq3MPNovMos2Sd57792MGtov40cPzpIly+5R9spLL+SSK4ak39Bx6Td0XE7o0LluCgaATynmfKJk6TMNA6/s5f4eAAAAAAAAwP+gQqkT4H/b/Pnzc/LJJ+fAAw/MqaeemrKystxyyy356U9/mp/97Gfp3r17Pvjgg5SXl+ecc85J27Zt07Zt20yZMiVJ0r1791x00UVp165dDjzwwNx+++1JkiFDhmTIkCEZPXp05syZkw4dOmTBggW55557csQRR+SQQw5J69atM2PGjJXOdcyYMTnggAPyy1/+Ms8++2z15w8//HAOP/zwtG3bNp06dcqCBQuSJK1atcqgQYNy+OGH5+CDD87zzz+fJBk/fnwOOeSQtG3bNhdeeGGS5NZbb0337t1z++235/nnn88FF1yQl19+OS1btkxVVVWSZOrUqWnfvv2X/jcHPr8nn30p395682y+8YZJkp/vt3f+8NhTyzT+rl5vtVxw8lFpsv66SZLtt948b7/zbsorKvLsK/9KoVDIyRcPylHd+uTqW+9J5cf/bQPA18VzT0/NVi22T9NNNk+S7NumXR5/6A/LPeiyori/v/RsCoVVc0n3DunR+Ve57YYxqaqsTJJMffT+rN+oSY46wYMxAJTeX2dMzzYtts/GzTZLkux/0GF59MH7llv3VhQ3/+15mf7kIznvkv7LHLNavXoZMeH2bLXNtlmyZEnmzHozDRuuWzeFAUAtnp0xrYY17d7l1r4VxX1rh+/msCOPS6FQSGHVVbPl1ttm3pxZyxz/t+efydTHHkj708+pm8IAoAbPPT01Wzf/9n+uYbb+ea3XOmuL++Ra56U9Ts55Zxxdfa1z1puvpcFaa2eH7+6eJNlk0y2zZoO18n8vPVe3RQLwjfbXGdPSvMW3qs/dDjy4bR6p8fpm7XHTnngkP9nvoKy66mpZu2HD7LVPqzz8wH3Vx44ZPjAt92uThuv859rmE48+mF2+t0e2br5dkmT/NofYFA+Ar4W/zHgm27Zonk2bbZIk+dlBrXP/gw8vtzbe+bt70uaA/fKjvfcsRZoAsFKKfc73+CMPpFGjJjn2pNOW+b0/3H1b9j3wp/nh3i2LXyQA1OKruM/36AN3p82hR2fthuumUCjkhI7ds9dP2qS8vCxtj2yfHXdeep+vUZONss4662X+vDl1WyQAfOzZp6dl6xbbZ+NNPu7XbNMujz1UQ1/nCuK232HnHPbL45fp65w7d1beenNm1lxrrez43e8nSZpttmXWXLNB/v7S83VbJADfaM/OmJ5tPnUN84CDar7WuaK4qU88nJ/s//G1zrUbZq8f7ZtHHrw3SVJVVZUP3n8vSbJo0YdZffXVkyT/+L9XsvsPfpS11m6YJNljzx/nyccerIuSASBJ8syM6WnRYrts0mzTJEnrgw/Nww/ev8wauKKYHXbcKYcfeUwKhUJWXXXVbL1N88ydOztJ8tgjD6ZRo8Y5/qRT67wuAKhNMZ/lS5Kqqsrq87+PFn2QevXq12F1ALBiz39mfWvV+ud5ooZ1cGXiKsrLc/Wgi3P0SV3TeION6q4IAFiBr6K/5bgOXfPrEzslSd6Z/3YqysvToMHaWa1evQy75s5stc12H+/Z+UbWbrhO3RYIAB/7svf45r89L1OfeCwXXtp3ud9e2uPyfpKlPS71Pu5xAYBSK+achk/72/N/zdTHHrRXNQAl9dzTU7P1p+bt7demXR576I8197esIO7F5/6SZ2c8mX1bH1bj33nphWcy7fEHcuJp3YpYDQD8d+Y0APBNUuxZ7EkyYeSV2Wffg9NwnfXqrC4ASJb2qzRv8a1P9asckkce/NNyPS21xUx94pG02q/NMntUP/TAfXnrzdfTYK21stPO30uSbLrZFlmzQYO8/LcXMnvWW1m06MMMH9wvXU47IUMG9sl7771b98UD8I1UzBkN9erVy+iJt2brbbbNkiVLMnvWm8s8w/D7O2/Jr44/Jc233b7uCgaAWrz01yeyxTY7ZsONt0iS/OiAIzL9kd8vtyYmycN/vCE/3LdddvnBAct998oL0/O3Zx7L3vv/oug5A8AXNf2Z5/KtFltns02aJknatt4v9z382HLr3m333Jef7t8yLffcvcbfKS+vyOWDR+aME4/JRk0aFz1vAFhZz8x4Ks233W6Z+3kPP/DZ59hrj/n2d3bKL478dfVe1Vtt3SJz5yzdq7qqqirvfzKr4UPPsQPw9fDCM09kqxbfzkYf92v+pPXhefLhe5Y7z1tRXFVVVRYvXpTyirJUlJenoqI89Vavn/ffW5gX/jo1h/zy5CRL59FecMWErGXvMgBK6IVnnsxWy+w7XdvaV3tcVVVlyj5alPKK8lSUl6Wyojz16n08j++lZ/O3557KhV2OSq8e7fPyCzPqtkAA+JRnZ0yrYT+yGvaqXkHct3b4bg478rhlZrHPmzMrSfLEI/dn/cZNqveyBoD/JVt0/FVmjrspb93yh1KnAgBfyGfnDtW2Z+eK4o7t0DW/OrFzkuSd+fOq5xO9/97CPPfMtLQ78qQkSeMmG+bS/mOy9tru8wFQ956uoWfzoc/0da4o5uRTTs8J7U9NkiyYPz/l5eVpsNZay/yNF55/No8/+nA6du5SN0UBwOdQ7Ht+AFBKM2bMSIttt02zZs2SJAcffHAefODPy6xzK4r58/33p91h7dKwYcMUCoV06tw5rVrtW33s8OFDs9/++2eddVzbBODr4cvOY99hx51y+JHHVD/HvvU2zTN37uzUq1cvYyfelK23aVG9d2dDz/AB8DVQzJm0S/tbpqfdUe2TLO1vuaTf2GX2rwaAuvT8Z+bMtmr98zxRw1y+FcU99sDdaX3o0Vm74bopFAo5rmP37PmTNtXHThrVNz/a96fm8gHwtfDZZxX2b9Mujz1UQ0/LCuK232HnHPbL45fpaZk7d9melpdeeCbTHnsgJ51+bt0UBgCfw19mPJ3tWrRIs2abJEl+enCb/PnBh5ZbD++8++60OfCA7LP3XqVIEwBWaGXm0X6RWbRJ8vgjD6RRoyY59qTTlvmbs2e9mUWLPszIwX3zm9OOy7CBvc1iB6AkijmfKElGDb8qrfY/MA3XWbduCwMAAAAAAADgSyuUOgH+t7355pu58MILc88992TevHm5/vrrM3LkyEyaNCl33XVX1lxzzQwdOjRPP/10Fi5cmNtvvz2jRo3KU089Vf0bM2fOzI033pgJEyakb9++mTt3bvV3HTp0yIYbbpjRo0dn3XXXzQ033JCRI0fmzjvvTPv27TN69OiVyvO5557LLbfckttuuy3jx4/PrFlLH+6aP39++vfvn7Fjx+b222/P3nvvnX79+lUft9566+Xmm2/OkUcemVGjRqWysjKjRo3KLbfckltvvTXl5eWZPfs/TRRt27bNjjvumMsuuyzbbbddNt1000ydOjVJcvvtt6ddu3Zf6t8b+GJmz38nGzVev/r9ho3WyweLPsoHiz6q/myTDRpn7112SJIsWbIkA6+9Lft8b8fUW221VFZVZfcdt8vgbh0z+sIz8uSzL+XGPz5U53UAwIq8PW92GjfZqPp9oyYbZtGHH2TRog9WOq6qsjI7fHe3nNvzqlzQe2SenTE19/5uSpJk3zbtctiR7VOv3up1UxAArMDS9WzD6veNm2zw8Xr24UrHNWrcJGef3yubNNt8ud9fbbXV8s6C+el43GG5dtzwHPLzo4tXDACshLfnzVnJta/2uO/uukf1ujd3zqzcc+eN2WPvVsscP3n8sPzy2FPSoMGyg5ABoC7N/8y53CfXMD/6zLXOFcVVVi291nnORYNzfq9Ree7pJ3Pv3VOycbPNs/ijRXnu6SeTJP/8+4t547V/5p0F8+qmOABI8vbcOWm8wbLnbh/WdI63grh58+akyTLfbZi3581Jkvzpj79LRWVl9m/9s2V+7603Xs8aa6yRAVf0zNmdT8qAPj2z2mr1ilEiAHwuc+fNywZNmlS/36BJk3z44Yf5cNGiZeI6d+yQVi1/XNfpAcDnUuxzvgMPOjS/OPr41Ftt2V7O9h275kct9y9GSQCw0r6K+3yz3piZdxcuSN+eZ+S8M47OrddfnQZrNczqq9dPy/0PrT7mz3+8LR8t+jDNt9ux+IUBQA3envvZZ/Rq6etcQdxOu+6Rjav7Ot/KPXdOyQ/2avVxf8tHeXbG0n0q/vHKi3n9tX9lwXz9LQDUnXnz5qTJp9aw2p5hWFFcTc83vD1v6b5S7Tt2zW03X5tTjmuXSy7ompNPOyurrrpaWmy3fZ6a9mjeXfhOqqqq8tCf/5AF898ucrUA8B/z5s79r/f7VhSz8667pdnHw5DnzJmVu+64JXvu3TJJ0vqgQ/LLo49b7l4fAJRSMZ/lS5LjTjk3d918Tc448afpc2GnHN+xW1ZddbW6KQ4A/ov582an0Uqug/8t7qE/3ZH1GjXJ93/4k+InDgAr6avob1lllVWy6qqrZWj/njm306+z/Xd2qd7H7JM9O08//tBMHj8sP2v3q7opDAA+48ve42vUuEm6X3BJ9X2+T+vQ8czcctPktD/2F+l5/tk55bQuWXXVVYtbEACshGLPafjEteOH5chjO9irGoCSenvenDSqcd7e8jMaaotb8PbcTLp6YE476+IUCjWPcb9u/JAc8WszGgAoPXMaAPgmKfYs9gfuvSOVlRX5yYFt66QeAPi0t+fOSZMNNqh+X1NPy4pi3p43J40/893b8+Zmk2abZfFHH+WZGdOTJH9/5aXMfO3fWTB/fha+syA77fy9nNrpN+k/ZEzWWGPNDBt0RR1UCwDFn9HwyTMMpxz380waOyJtDz+6Oq5rt4uy8667F6s0APhcFrw9K+s1blr9fr3GG+WjRe8vd78vSY446bzstvfBy33+zvw5ueWaK3LcGX2ySi29LgDwdTBn3tvZqHGj6vcbNG6UDz5ctNwc2q4djs/+++xV6+/87v4H06TR+tnnB7sVLVcA+CLmzZ2TJp/q1WxS43Pstcfssutuabbpx3tVz/5kr+qls9lPOe2M3DLlupx0zBG56PxzcurpZ3qOHYCSmz9vdhp96vrm+o1XsEdnLXF7/+RnWWvtdXLWSW3S9cQDs1HTzbLzbvtkzlszs+76TXLvnZPTq8eJufjsX+fVf76U+vXXrLP6AOCzlu47/Z9nFdZf4f7UNcft3epnabD2OvnNiW3S9YTW2bDpptl5932SJGs1XDctW7fLxQOvy+HHdMqQPudk/rzZdVMcAHxGTbNla9u/pba47+66R/WeZXPnzMo9d96YPfZulSTZ/6DD8vOjTsxq9erVQTUA8NV64cxL8+YNvyt1GgDwhc2f+9n9yGo+51tR3CfziYb175lunX6d7b+zazZptnlmvfV61lu/SX5/x/XpeW6HnN/1hPzrHy+n/hpr1Fl9APCJeXPnpkmT/+zFUnNfZ+0xS9e7VTPgyl7p3PGk7LjTd5ebVXTN2NH59XEn2qMagK+lYt/zA4BSmjt3bjZY7nzuw2XWuRXFvPHGG3ln4cL89rfn5/TTTs3ka6/N2muvnST54x/uSWVFZVq3blN3BQHAf/Fl57HvvOtu1dc358z55Dn2lkn+s3dn++OOyISxo3LY4UfWTVEAsALFnEk7+63Xs976jfP7269Lz3NPzgW/OT7//sfLqV9ffwsApbH02fSVm0dbW9ysN2bmvYUL0q/nGTn/jKNz+/VXZ621GiZJHrz39lRUVKTlAW3rpB4A+G/envvZWbO19LSsIG6nXffIxtU9LW/lnjun5Ad7LdvTMnn8sBxxzCl6PAH4Wpo7d1422KBJ9fsNmjTJhx9+uNzMhk4dT02rlj+u6/QAYKWszDzaLzqL9sCDDs0vjj4+9VZbfZm/ufD/sXef4VJWZ9uArz2AgIpKE7BgQRQLFpSm2E1eU94UTWISjdHYe8QY62dsRBSiIIgURUGwJkbzRmLF2BXFiiiC2FuiJFFAgV2+Hxu3ICWoe2YEzvOPx559z8y1sCyf51lr3f/+d7bedoccfuxJ6TdoZJo0aZohA/oWa4gAsETF7E901+23paqyMt/c+7slGg0AAAAAAAAA9alhuQOwfOvUqVPWX792UUGHDh3y0UcfZffdd0/z5s2TJPvtt19OO+20HH744XnllVdyyCGHZJdddslvf/vbus/YZ5990qhRo7Rt2zZdunTJxIkTF/tdhUIhl112WcaPH59XXnklEyZMWOiAjqWZMGFCdt1116y2Wu3mrb333jvV1dV55pln8s477+TAAw9MklRXV2fNNdese9/OO++cJOnYsWPuvPPONGjQINttt11+9KMfZc8998zBBx+cNm3aLPqF8+277775y1/+km233TaPPvpozj777GXKC9SvmuqaVCzm9QaL+W/Ix5/MyTlDx+a9Gf/KpacclST54R47LlSz/7d3z/W335eff2v3YsQFgC+ldr5bdMYrFBosc93u//ODhV771g9+ljv/78bs/f2f1WtWAPiqampqUlGxuPms8KXqFmet5i0ydPQtmT5tSs4/44Ss237DuqZYAFBq1TXVyTLMactSN33ai/lDn9Pzze/um+277VT3+pQXnsuH//l3dtr1G/WYHAC+uJolzGcVn7/XuZS63T93uPm3vv/z3PHXG7L3936WX5/eLzeNuTzXXX1pOm25XbbYeoc0bNioXscAAEtTvYz3LZdWV1NdnSzwzK+mpiaFQoNMnzYld467NeddOGiR91VWVWbiYw/nvIsGpd266+e2v/wx/fqcmf6DR371QQHAV1BdU/2ln+kBwNdNMa/5AODrrj6e81VVVWbS0xNy4hn90qhR4wwbeE7+OObyHHBo77q6//vjqNzx1+tz8u8GZpXGTep/IACwDOpzT8P0aS/m4j6n5X++s2+6zF/XedIZfXPDNcMy9qrL0mmrbbPl1ttb3wJASdVeuy36+qJz3ZLraqqrF7r8q73XWcjcuXNyyYVn55hfn5btu+2Ul158Pn3PPSUdOnbKrnvsnRnv/zPnnHFCGjdumm/s/b9p2MgRaQCUTs0yrGNZlpqXp05J3z5n5dvf/UG6dutZnLAAUA+KuZdvj733yWX9zsjhJ5yV7brunGlTnsvF55+UjTfZIi1bL/kcXwAolSXNb4uc37kMdXf85bocfPTp9R8SAL6C+lzfcuxJZ+eTo2fnkgtOz5+uvyo/3v/QJLVndg4Z9Ze8Mm1K+px5fNZrv1HaObMTgBKrr2d8nzd37tz073tujjvx1HTt1jNTXpyc359zejpu2imtWq9dP+EB4EsqRZ+GKS88l4+cVQ3A10BNdfVi+9AuMu8toS41NRnc/6wccMiv07xFq8V+x0svPJuPPvx3dtz1f75yXgD4qvRpAGBlUsxe7JtttV3G335zzrxgWL1mBoBltSznVC+tpvrz819N7eurrrpaTvl/5+fa0Vdk1Mih2WLLrdN56+3SsFHDbNppi5x65vl1b/np/gflVwfsk3nz5qVRI9d+ABRXKXo0rNW8RYaPvjnTp03JOaefmPXab5h11l2//gYBAPXg8+dwfmpZ+/FVVc7L1QNPyT6/PDlrNm9dz+kAoH5V19Qs4UyWL9aH9sa//C2/PfqQ+ooFAPWm9n7moq8v+sxv6TXTpr6UvueflW//7w/StXvP+fvYz8vxJ56Srt1r97H3OfuMbLJpp7S2jx2AMqqpqVlCD6LP72dYct2tNwxPszWaZ8BVd2Xu3E8yuO9Juf3Wa9Jh0855/7230qTpajn9gpF575030veMQ9JmnfbZsMPmRRoRACxd7bO9ZdnTsOS6W28YkWZrrJWBV9+ZuXPnZNAFJ+X2W8Zk7x8ckONO7VdXu+kW22aTzbbO8888lp33/F79DwYA/ovqJfZb+Pw6z/9eN33ai/lDn9Pzze/um+3n92IHAACgfOrzmu+Yk87OIUf/NpdccHpuvn5kOm/XLf987+00bbpazr5oeN59+42ce+pRabvO+tl4k071PxgAWIr66k/U++TTc9SxJ6Zvn7Nzw3XX5OcHHJQkeWHy8/nwP//OLrvtWf/hAaAeeOYHwIpsyb32GixTTVVVZZ566smcddbv0qjRKrn44v4ZPerq7LHnnhk3blwuvKjfIu8DgHKqr/udL0+dkr59zsq3v/uDdO3Ws+71tZq3yJWjb8rL017K704/Keu13yDrOrsTgDIqZk/aysrK2vUtq66Wsy8akXfffiPnnXZk2q6zfjayvgWAMlhSn9lFz29Zcl1VVWUmPT0hvz6jXxo1apzhA8/JH8dcnp12/3buvf3mnH7B8KLlB4AvasnP8QpfuG76tBdzcZ/T8j/f2TddFljT8tILz+XD//wrO+36zXpMDgD1p/bZ3qKvf9GeDQBQTl+1F/t/60W7OJt22iK/PbNP3c8/2f/gHHrAD/RiB6DkitWf6OVpL+X2cf+X3180oAipAQAAAAAAACiFhuUOwPKtYcPP/hGqqKjIGmuskQ8//LDutZqamlRWVqZ58+a57bbb8tBDD+W+++7LD3/4w9x2221JkgYNPluMV11dvdBnLmjWrFn50Y9+lO9973vp2rVrNttss4wdO3aZclZUVKSmpmah3HPnzk1VVVW6dOmSoUOHJknmzJmTWbNm1dU1bty47v2fGjJkSJ5++uncf//9OfTQQ9O/f/8lfu/ee++dSy65JHfccUd22WWXus8DSqtNq+aZ9PKrdT//c8Z/ssZqq6Zpk4X/nXz3/Rnp3X94NlynbS4/87g0WWWVJMm4Byak4wbrpmP7dZPU/retYYOlLyQGgFL449hheXLCA0mSj2fPyvobdKj73b8++GdWW32NNGnSdKH3tGzdJi+/NGmxdQ/eOy7tN+yY9ht1rP1lTU0aLOH/zwGg1G4cc0WeeOzBJLXzXvsNP5v3ZnzwflZbvdki816r1m0ybcrk/1q3oNmzZmbSMxPTbcddkyQbb7JZNthok7zx6vSss277+hwSACzVjWNGZGLd3Dc762+4cd3vljz3tV3q3PfwfXfnysv75+Aje6fXbgsfevfI/fdklz2+5UAhAMriT2OH5cnH70/y6b3OTep+t+R7nW3z8kvPL7buwXvHpf1GHdN+w9p7nbXP9xqmuro6jZs0zRl9hta97+Sj9s3a7dYr5vAAINdfc2WeeOyhJMns2bPS/nPXeKsv5hqvdes2mfq5a7xP61q1bpN/zXi/7nf/mvF+WrZqnfvG35GPZ8/KGb85uu71S/udl1/86qi0aNEqm22xVdrNb/a45ze/k6uGXZo5c+ZY1wZAWa3dunVenDK17uf3P/ggzVZfPU2bNCljKgBYdqW65gOAr6P6fs63VotW2aHnbmm66upJkp122zt/vv7KJMm8eXMzfOC5eeuN6fndhVemdZt1ij08AFjITWNGZOKEz/Y0LLyu85+LXdfZsnWbTFtg3vt83cP335WRl/fPwUeclJ3mr+usrq5Ok6ZNc9YFl9W978Qj9kvbdaxvAaC4rh9zRd29zi+yf2/qlBcWW9eqdZvM+OCDut/9a8YHadmqdd547ZXMmfNJtu+2U5Jk005bZv32G2XqlMlp3KRpeu32jfzwJ79Ikkx54bm0tcYTgBJq1bpNXlpgbvvgg38u8rzvv9U8cN/4DB8yIIcddXx22W2v0oUHgGVUqr18b772cubM+STbdd05SbLJZp2zbvuN8/JLk9KydZtiDxMAFuvmscPy1ALz4HqLmQcbf24ebLGEefDTutemT0l1VVU6bdWlBCMAgKWr7/Utzzz5aNbfoENatGydJk1XzY67fCMTHv57Zs+ameefnZiuPWvP7Nxok83SfqNN8vqrL6edMzsBKLH6eMa3OK+/9krmzpmTrt16Jkk267RF1t9gw7w05YW0ar12EUYCAEtXqj4Nn3rk/nuy8x57O6sagLL449jhmbiEvnwzltKXb9F7nWvkrTdeyT/eeytjRg5MkvznXx+kuro68+bNyWHHnZEkefTBu9Nrdz0aACgffRoAWJmUqhf7g+PH5ePZs3LObw+tfc+Mf2bIxWflZwcdl+2771LkUQJA0rr12gudyfLBYs6pXlpN69ZrZ8aMz85tmTH/jOrq6uo0adI05/UdWPe7Yw47IG3brZvJk57NzJkfpVuP2jNdampqUlFRcO8TgKIpVY+GWbNmZtIzT6b7jrXXcxtvslk22Lh2D8M68/vxAUA5/fWGy/LcE39Pknzy8cys075j3e/+M+MfWXW1NdK4yarL9FmvTZ+c9//xZm4e1T9J8uG/30/N/LUu+x95Tr1nB4Cvok2rlnnhpWl1P7//wYw0W321L9SH9qXpr6aquirbbrl5MSICwFeyyPO89xfdo/7fah64b3yGXTYwhx11fHbdfc8kyeuvvpI5n3ySrt0X3sc+dcoLaW0fOwAl9udrL8/Tn+5n+HhW1mv/38/obNmqbaYvZl1n4yZN8+Sj9+bnh52cho0apWGjRtlx9+/miYfvyfY99kiS9Nrze0mSNu3WT8dO2+aVqZOyYQfXhACUzp+vHZqnJtTOfZ98PCvrLmZPw2LPp566+Llv4qPjs/9hv62b+3ba/bt54pF7sste38/4v92U7/zo4FRUVMx/Z00aNGhY9DECwKduHDMiE+vOLZv9ubOql3RuWdulnlv28H1358rL++fgI3un1/xe7AAAAJTeTWOG58n5/YlmL3JW9eL7E7Vq3TYvvzR5sXXPPPlo2m/QIc0X6k90b3bZ8ztJkl33qv1r23XWz6ZbbJ2XX5qcjTfpVOxhAsBCWrdeOy9NebHu5w/eX/xZLkuqeXLi49lgw43SsmWrNG3aNLvsunseeeiButoH7783u+/5Tee0APC14pkfACuL1q1bZ8oi13Orp8kC+9aXVtOiRcvsuONOWXXV1ZIku+++R6679tokyezZs/Ob3/ROksyYMSP9+l2YXx1yaHr06FmKoQHAYtVHP/YH7huf4UMG5LCjjs8uu+2VJJk1a2aee+ap9Nhx5yRJh002zYYbd8jrr07Pus7uBKDEStWT9vs/PjhJsuue300yf33L5tvk5Zeez0bWtwBQIjePHZanFuhHu95i+tEudg/7YvrRNm7SNGu1aJUdeu6WpquuniTZcbe9c+v1V9Z+/sezcv4ph9S+Z8Y/M/Tis7LfQceni758AJTQTWNGZOKET9e0zPrcmpbF72lY/DXfAmta7r8rIy/vn4OPOCk7fW5NyyMP3J2d9/iWNZ4AfG21bt06L055qe7n9z/4IM1WX/0L9WwAgHJbWp/ZZalZUi/apZk86ZnMmvlRuvbolUQvdgDKp1j9ie695858PHt2TvnNcUmSf834IBf365ODDjki3XrsVIqhAQAAAAAAAPAVWc1EvRs/fnz+/e9/J0luvPHGdO/ePffcc09OPvnk7LbbbjnzzDOz6qqr5p133kmS/O1vf0tNTU3eeuutPPvss9l+++0X+rwGDRqkqqoqr776aioqKnLkkUeme/fuueuuu1JVVbVMmXr27Jl77703H330UebMmZO77rorSbLNNtvk6aefziuvvJIkGTJkSC666KIlfs6MGTPy7W9/O5tuumlOOOGE7LTTTpkyZcpi8yapbRiwyy65+OKLs88++yxTVqD+9ejcKZOmvpbX3/lHkuRP9zyYXbbvvFDNrI8/yRHnDcruXbfJ748/KE1WWaXudy+/+U6G3TQuVdXV+WTu3Nx45wP5Rs8uJR0DACzOj/Y/Ir8fOCa/HzgmZ/e7MtOmTMq7b7+eJLnnbzenS/edF3lP5+26L7Huzdem50/XDk91VVXmzvkkd972x/TotVfpBgQAS/GTAw7NRYOuzkWDrs75fxieqVOezztvvZEkuWvcLdmhx6Lz3tbbdVumugUVCoUMHXhBXpz8bJLkjdem5603X88mm21RzyMCgKX7yQGH5cJBo3LhoFE57w/DM22BOe3ucX9e4ty3pLqJjz2Yq4dfktPPu2SxzR1fmPRUttpm+0VeB4BS2Hf/I9JnwNj0GTA2v7to5ML3MG+/OV26LXo4+Vbbdl9i3Zuvv5w/XTus7l7nXeNuSvedv5GKior84dwTM31q7QFDjz5wVxo1apz2G3Ys0UgBWFn99BeHpP/gkek/eGQuuHhopk6ZXHftdue4W+sOqlvQNl26LrGua49eGX/XuFRVVWbWzI/y0H33pFvPnXPw4cdn0Ihr676reYtWOf7k/5euPXqlW8+dM2XypLz37ttJkscevj/rb7BRGjduXKI/BQBYvO232zYvTJmSN9+qnaP+Ou6O9OzRrcypAGDZleqaDwC+jur7OV+3HffIYw/dnblzPklNTU0mPnpfNu5Yu37z8ovPysezZ+WsC69M6zbrlGiEAPCZHx9wWPpeOip9L9gsm6IAATU4SURBVB2Vc/vP39Pw9vz1mn+7JTssZi9f3Z6GxdRNnPBgRg2/JKedO2ChBscVFRW58OyT8vLU2sYhjzxwdxqtskrab7hJsYcIwErupwccmv6Drkr/QVfl938YttC+vDvH3bL4e52f27+3YF3XHr1y7123fXav8/570rXHzmnbbt3Mnj0rU154Lkny7jtv5c03Xs1GHTbN9Kkvpl+f01NZWZmqqsr8+aax2Xm3b5ToTwAAkm277JCXpryQt996M0lyx7j/W6QZ49JqHn/s4VwxbFB+d36/7LKb81oA+Hoq1V6+Nu3Wz8ezZ+alF2rPb3nvnTfz1huvZIONNyvRSAFgUfvsf0TOGzA25w0Ym7MuGpmXF5jfxt9+c7ZbzDzYedvuS617cdKT2bzzDqmoqCjNIABgKep7fcujD47PzdeNTE1NTebNm5tHHxyfLbfePoVCIcMG/j5TFjiz8+03X8smm21ZopECwGe+6jO+JWnXbt3Mmj0zL06elCR555238sbrr2WjDtZzAlAeperT8KnJk55OZ2dVA1AmP9r/8Fww8JpcMPCanNPvis/12/tztl+mvny1dR07dc6gkX+p+7w99/5hevTaK4cdd0bde2t7NOxQmsEBwGLo0wDAyqRUvdh/cVjv9B/6x7rvat6idY7ufW62777ovAoAxbBNl655acrkuvUqd477S7p+br3K0mo+f0b1g/eNT/eevVJRUZE+Z5+aaVNfTJI8eP/4rLLKKtlwow755JOPc8XQS/PRRx8mSW750w3p2WvXNGjQoFTDBmAlU6oeDYVCIUMG9M2Lk2vPLXvjtVfy9huvp+N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",
- "text/plain": [
- "<Figure size 28800x14400 with 2 Axes>"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- }
- ],
- "source": [
- "plt.figure(figsize=(400,200))\n",
- "feature_corr = numeric_data.drop(\"alcoholic_beverages\", axis=1).corr()\n",
- "feature_corr = feature_corr.drop(\"nbr_anaesthesiologists\", axis=1)\n",
- "feature_corr = feature_corr.drop(\"nbr_surgeons\", axis=1)\n",
- "feature_corr = feature_corr.drop(\"nbr_obstetricians\", axis=1)\n",
- "feature_corr = feature_corr.drop(\"Diarrhea & common infectious diseases (%)\", axis=1)\n",
- "feature_corr = feature_corr.drop(\"Nutritional deficiencies (%)\", axis=1)\n",
- "feature_corr = feature_corr.drop(\"pneumonia-death-rates\", axis=1)\n",
- "feature_corr = feature_corr.drop(\"Musculoskeletal disorders (%)\", axis=1)\n",
- "feature_corr = feature_corr.drop(\"total fertility rate\", axis=1)\n",
- "feature_corr = feature_corr.drop(\"life expectancy at birth\", axis=1)\n",
- "feature_corr = feature_corr.drop(\"infant mortality rate\", axis=1)\n",
- "feature_corr = feature_corr.drop(\"maternal mortality rate\", axis=1)\n",
- "feature_corr = feature_corr.drop(\"population\", axis=1)\n",
- "feature_corr = feature_corr.drop(\"birth rate\", axis=1)\n",
- "feature_corr = feature_corr.drop(\"median age\", axis=1)\n",
- "feature_corr = feature_corr.drop(\"Cancers (%)\", axis=1)\n",
- "feature_corr = feature_corr.drop(\"animal_products\", axis=1)\n",
- "feature_corr = feature_corr.drop(\"school_shutdown_1case\", axis=1)\n",
- "feature_corr = feature_corr.drop(\"school_shutdown_10case\", axis=1)\n",
- "feature_corr = feature_corr.drop(\"school_shutdown_50case\", axis=1)\n",
- "feature_corr = feature_corr.drop(\"school_shutdown_1death\", axis=1)\n",
- "feature_corr = feature_corr.drop(\"meat\", axis=1)\n",
- "feature_corr = feature_corr.drop(\"milk_-_excluding_butter\", axis=1)\n",
- "sns.heatmap(feature_corr, annot=True, cmap='coolwarm')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 15,
- "metadata": {
- "pycharm": {
- "name": "#%%\n"
- }
- },
- "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>Country_Region</th>\n",
- " <th>first_1ConfirmedCases</th>\n",
- " <th>first_1Fatalities</th>\n",
- " <th>first_10ConfirmedCases</th>\n",
- " <th>first_50ConfirmedCases</th>\n",
- " <th>first_100ConfirmedCases</th>\n",
- " <th>cases_growth</th>\n",
- " <th>death_growth</th>\n",
- " <th>Cardiovascular diseases (%)</th>\n",
- " <th>Diabetes, blood, & endocrine diseases (%)</th>\n",
- " <th>...</th>\n",
- " <th>bcg_coverage</th>\n",
- " <th>bcg_year_delta</th>\n",
- " <th>population growth rate</th>\n",
- " <th>death rate</th>\n",
- " <th>net migration rate</th>\n",
- " <th>obesity - adult prevalence rate</th>\n",
- " <th>FF_DayOfYear</th>\n",
- " <th>case1_DayOfYear</th>\n",
- " <th>case10_DayOfYear</th>\n",
- " <th>case50_DayOfYear</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>0</th>\n",
- " <td>Afghanistan</td>\n",
- " <td>2020-02-24</td>\n",
- " <td>2020-03-22</td>\n",
- " <td>2020-03-14</td>\n",
- " <td>2020-03-24</td>\n",
- " <td>2020-03-27</td>\n",
- " <td>0.174179</td>\n",
- " <td>0.083333</td>\n",
- " <td>8.953006</td>\n",
- " <td>5.273280</td>\n",
- " <td>...</td>\n",
- " <td>86.0</td>\n",
- " <td>5.0</td>\n",
- " <td>2.38</td>\n",
- " <td>12.7</td>\n",
- " <td>-0.1</td>\n",
- " <td>5.5</td>\n",
- " <td>82.0</td>\n",
- " <td>55</td>\n",
- " <td>74.0</td>\n",
- " <td>84.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>1</th>\n",
- " <td>Albania</td>\n",
- " <td>2020-03-09</td>\n",
- " <td>2020-03-11</td>\n",
- " <td>2020-03-10</td>\n",
- " <td>2020-03-16</td>\n",
- " <td>2020-03-23</td>\n",
- " <td>0.068699</td>\n",
- " <td>0.130051</td>\n",
- " <td>27.016784</td>\n",
- " <td>4.571592</td>\n",
- " <td>...</td>\n",
- " <td>99.0</td>\n",
- " <td>5.0</td>\n",
- " <td>0.28</td>\n",
- " <td>7.1</td>\n",
- " <td>-3.3</td>\n",
- " <td>21.7</td>\n",
- " <td>71.0</td>\n",
- " <td>69</td>\n",
- " <td>70.0</td>\n",
- " <td>76.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2</th>\n",
- " <td>Algeria</td>\n",
- " <td>2020-02-25</td>\n",
- " <td>2020-03-12</td>\n",
- " <td>2020-03-04</td>\n",
- " <td>2020-03-16</td>\n",
- " <td>2020-03-21</td>\n",
- " <td>0.158588</td>\n",
- " <td>0.228578</td>\n",
- " <td>17.005476</td>\n",
- " <td>8.614000</td>\n",
- " <td>...</td>\n",
- " <td>99.0</td>\n",
- " <td>5.0</td>\n",
- " <td>1.52</td>\n",
- " <td>4.4</td>\n",
- " <td>-0.9</td>\n",
- " <td>27.4</td>\n",
- " <td>72.0</td>\n",
- " <td>56</td>\n",
- " <td>64.0</td>\n",
- " <td>76.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>Andorra</td>\n",
- " <td>2020-03-02</td>\n",
- " <td>2020-03-22</td>\n",
- " <td>2020-03-17</td>\n",
- " <td>2020-03-19</td>\n",
- " <td>2020-03-22</td>\n",
- " <td>0.082774</td>\n",
- " <td>0.345238</td>\n",
- " <td>13.784688</td>\n",
- " <td>4.381889</td>\n",
- " <td>...</td>\n",
- " <td>99.0</td>\n",
- " <td>5.0</td>\n",
- " <td>-0.06</td>\n",
- " <td>7.7</td>\n",
- " <td>0.0</td>\n",
- " <td>25.6</td>\n",
- " <td>82.0</td>\n",
- " <td>62</td>\n",
- " <td>77.0</td>\n",
- " <td>79.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>Angola</td>\n",
- " <td>2020-03-20</td>\n",
- " <td>2020-03-29</td>\n",
- " <td>2020-03-08</td>\n",
- " <td>2020-03-16</td>\n",
- " <td>2020-03-14</td>\n",
- " <td>0.132143</td>\n",
- " <td>0.000000</td>\n",
- " <td>4.480300</td>\n",
- " <td>2.733065</td>\n",
- " <td>...</td>\n",
- " <td>79.0</td>\n",
- " <td>5.0</td>\n",
- " <td>3.43</td>\n",
- " <td>8.5</td>\n",
- " <td>-0.2</td>\n",
- " <td>8.2</td>\n",
- " <td>89.0</td>\n",
- " <td>80</td>\n",
- " <td>68.0</td>\n",
- " <td>76.0</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",
- " <td>...</td>\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",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>175</th>\n",
- " <td>Venezuela</td>\n",
- " <td>2020-03-14</td>\n",
- " <td>2020-03-27</td>\n",
- " <td>2020-03-15</td>\n",
- " <td>2020-03-21</td>\n",
- " <td>2020-03-26</td>\n",
- " <td>0.054474</td>\n",
- " <td>0.361111</td>\n",
- " <td>12.951494</td>\n",
- " <td>8.146976</td>\n",
- " <td>...</td>\n",
- " <td>82.0</td>\n",
- " <td>5.0</td>\n",
- " <td>-0.18</td>\n",
- " <td>7.5</td>\n",
- " <td>-3.4</td>\n",
- " <td>25.6</td>\n",
- " <td>87.0</td>\n",
- " <td>74</td>\n",
- " <td>75.0</td>\n",
- " <td>81.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>176</th>\n",
- " <td>Vietnam</td>\n",
- " <td>2020-01-23</td>\n",
- " <td>2020-03-11</td>\n",
- " <td>2020-02-06</td>\n",
- " <td>2020-03-14</td>\n",
- " <td>2020-03-22</td>\n",
- " <td>0.061529</td>\n",
- " <td>0.000000</td>\n",
- " <td>16.842832</td>\n",
- " <td>6.516006</td>\n",
- " <td>...</td>\n",
- " <td>97.0</td>\n",
- " <td>5.0</td>\n",
- " <td>0.84</td>\n",
- " <td>6.0</td>\n",
- " <td>-0.3</td>\n",
- " <td>2.1</td>\n",
- " <td>71.0</td>\n",
- " <td>23</td>\n",
- " <td>37.0</td>\n",
- " <td>74.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>177</th>\n",
- " <td>West Bank and Gaza</td>\n",
- " <td>2020-03-05</td>\n",
- " <td>2020-03-26</td>\n",
- " <td>2020-03-07</td>\n",
- " <td>2020-03-22</td>\n",
- " <td>2020-03-29</td>\n",
- " <td>0.101132</td>\n",
- " <td>0.000000</td>\n",
- " <td>2.533060</td>\n",
- " <td>2.154277</td>\n",
- " <td>...</td>\n",
- " <td>99.0</td>\n",
- " <td>5.0</td>\n",
- " <td>-0.19</td>\n",
- " <td>7.3</td>\n",
- " <td>0.0</td>\n",
- " <td>20.2</td>\n",
- " <td>86.0</td>\n",
- " <td>65</td>\n",
- " <td>67.0</td>\n",
- " <td>82.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>178</th>\n",
- " <td>Zambia</td>\n",
- " <td>2020-03-18</td>\n",
- " <td>2020-04-02</td>\n",
- " <td>2020-03-25</td>\n",
- " <td>2020-03-16</td>\n",
- " <td>2020-03-14</td>\n",
- " <td>0.104540</td>\n",
- " <td>0.000000</td>\n",
- " <td>4.074966</td>\n",
- " <td>2.823180</td>\n",
- " <td>...</td>\n",
- " <td>99.0</td>\n",
- " <td>5.0</td>\n",
- " <td>2.89</td>\n",
- " <td>11.6</td>\n",
- " <td>0.0</td>\n",
- " <td>8.1</td>\n",
- " <td>93.0</td>\n",
- " <td>78</td>\n",
- " <td>85.0</td>\n",
- " <td>76.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>179</th>\n",
- " <td>Zimbabwe</td>\n",
- " <td>2020-03-20</td>\n",
- " <td>2020-03-23</td>\n",
- " <td>2020-03-08</td>\n",
- " <td>2020-03-16</td>\n",
- " <td>2020-03-14</td>\n",
- " <td>0.111310</td>\n",
- " <td>0.000000</td>\n",
- " <td>6.560883</td>\n",
- " <td>3.622970</td>\n",
- " <td>...</td>\n",
- " <td>90.0</td>\n",
- " <td>5.0</td>\n",
- " <td>1.87</td>\n",
- " <td>9.3</td>\n",
- " <td>-5.0</td>\n",
- " <td>15.5</td>\n",
- " <td>83.0</td>\n",
- " <td>80</td>\n",
- " <td>68.0</td>\n",
- " <td>76.0</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "<p>180 rows × 48 columns</p>\n",
- "</div>"
- ],
- "text/plain": [
- " Country_Region first_1ConfirmedCases first_1Fatalities \\\n",
- "0 Afghanistan 2020-02-24 2020-03-22 \n",
- "1 Albania 2020-03-09 2020-03-11 \n",
- "2 Algeria 2020-02-25 2020-03-12 \n",
- "3 Andorra 2020-03-02 2020-03-22 \n",
- "4 Angola 2020-03-20 2020-03-29 \n",
- ".. ... ... ... \n",
- "175 Venezuela 2020-03-14 2020-03-27 \n",
- "176 Vietnam 2020-01-23 2020-03-11 \n",
- "177 West Bank and Gaza 2020-03-05 2020-03-26 \n",
- "178 Zambia 2020-03-18 2020-04-02 \n",
- "179 Zimbabwe 2020-03-20 2020-03-23 \n",
- "\n",
- " first_10ConfirmedCases first_50ConfirmedCases first_100ConfirmedCases \\\n",
- "0 2020-03-14 2020-03-24 2020-03-27 \n",
- "1 2020-03-10 2020-03-16 2020-03-23 \n",
- "2 2020-03-04 2020-03-16 2020-03-21 \n",
- "3 2020-03-17 2020-03-19 2020-03-22 \n",
- "4 2020-03-08 2020-03-16 2020-03-14 \n",
- ".. ... ... ... \n",
- "175 2020-03-15 2020-03-21 2020-03-26 \n",
- "176 2020-02-06 2020-03-14 2020-03-22 \n",
- "177 2020-03-07 2020-03-22 2020-03-29 \n",
- "178 2020-03-25 2020-03-16 2020-03-14 \n",
- "179 2020-03-08 2020-03-16 2020-03-14 \n",
- "\n",
- " cases_growth death_growth Cardiovascular diseases (%) \\\n",
- "0 0.174179 0.083333 8.953006 \n",
- "1 0.068699 0.130051 27.016784 \n",
- "2 0.158588 0.228578 17.005476 \n",
- "3 0.082774 0.345238 13.784688 \n",
- "4 0.132143 0.000000 4.480300 \n",
- ".. ... ... ... \n",
- "175 0.054474 0.361111 12.951494 \n",
- "176 0.061529 0.000000 16.842832 \n",
- "177 0.101132 0.000000 2.533060 \n",
- "178 0.104540 0.000000 4.074966 \n",
- "179 0.111310 0.000000 6.560883 \n",
- "\n",
- " Diabetes, blood, & endocrine diseases (%) ... bcg_coverage \\\n",
- "0 5.273280 ... 86.0 \n",
- "1 4.571592 ... 99.0 \n",
- "2 8.614000 ... 99.0 \n",
- "3 4.381889 ... 99.0 \n",
- "4 2.733065 ... 79.0 \n",
- ".. ... ... ... \n",
- "175 8.146976 ... 82.0 \n",
- "176 6.516006 ... 97.0 \n",
- "177 2.154277 ... 99.0 \n",
- "178 2.823180 ... 99.0 \n",
- "179 3.622970 ... 90.0 \n",
- "\n",
- " bcg_year_delta population growth rate death rate net migration rate \\\n",
- "0 5.0 2.38 12.7 -0.1 \n",
- "1 5.0 0.28 7.1 -3.3 \n",
- "2 5.0 1.52 4.4 -0.9 \n",
- "3 5.0 -0.06 7.7 0.0 \n",
- "4 5.0 3.43 8.5 -0.2 \n",
- ".. ... ... ... ... \n",
- "175 5.0 -0.18 7.5 -3.4 \n",
- "176 5.0 0.84 6.0 -0.3 \n",
- "177 5.0 -0.19 7.3 0.0 \n",
- "178 5.0 2.89 11.6 0.0 \n",
- "179 5.0 1.87 9.3 -5.0 \n",
- "\n",
- " obesity - adult prevalence rate FF_DayOfYear case1_DayOfYear \\\n",
- "0 5.5 82.0 55 \n",
- "1 21.7 71.0 69 \n",
- "2 27.4 72.0 56 \n",
- "3 25.6 82.0 62 \n",
- "4 8.2 89.0 80 \n",
- ".. ... ... ... \n",
- "175 25.6 87.0 74 \n",
- "176 2.1 71.0 23 \n",
- "177 20.2 86.0 65 \n",
- "178 8.1 93.0 78 \n",
- "179 15.5 83.0 80 \n",
- "\n",
- " case10_DayOfYear case50_DayOfYear \n",
- "0 74.0 84.0 \n",
- "1 70.0 76.0 \n",
- "2 64.0 76.0 \n",
- "3 77.0 79.0 \n",
- "4 68.0 76.0 \n",
- ".. ... ... \n",
- "175 75.0 81.0 \n",
- "176 37.0 74.0 \n",
- "177 67.0 82.0 \n",
- "178 85.0 76.0 \n",
- "179 68.0 76.0 \n",
- "\n",
- "[180 rows x 48 columns]"
- ]
- },
- "execution_count": 15,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "ch_wo_null = ch_wo_null.drop(\"nbr_anaesthesiologists\", axis=1)\n",
- "ch_wo_null = ch_wo_null.drop(\"nbr_surgeons\", axis=1)\n",
- "ch_wo_null = ch_wo_null.drop(\"nbr_obstetricians\", axis=1)\n",
- "ch_wo_null = ch_wo_null.drop(\"Diarrhea & common infectious diseases (%)\", axis=1)\n",
- "ch_wo_null = ch_wo_null.drop(\"Nutritional deficiencies (%)\", axis=1)\n",
- "ch_wo_null = ch_wo_null.drop(\"pneumonia-death-rates\", axis=1)\n",
- "ch_wo_null = ch_wo_null.drop(\"Musculoskeletal disorders (%)\", axis=1)\n",
- "ch_wo_null = ch_wo_null.drop(\"total fertility rate\", axis=1)\n",
- "ch_wo_null = ch_wo_null.drop(\"life expectancy at birth\", axis=1)\n",
- "ch_wo_null = ch_wo_null.drop(\"infant mortality rate\", axis=1)\n",
- "ch_wo_null = ch_wo_null.drop(\"maternal mortality rate\", axis=1)\n",
- "ch_wo_null = ch_wo_null.drop(\"population\", axis=1)\n",
- "ch_wo_null = ch_wo_null.drop(\"birth rate\", axis=1)\n",
- "ch_wo_null = ch_wo_null.drop(\"median age\", axis=1)\n",
- "ch_wo_null = ch_wo_null.drop(\"Cancers (%)\", axis=1)\n",
- "ch_wo_null = ch_wo_null.drop(\"animal_products\", axis=1)\n",
- "ch_wo_null = ch_wo_null.drop(\"school_shutdown_1case\", axis=1)\n",
- "ch_wo_null = ch_wo_null.drop(\"school_shutdown_10case\", axis=1)\n",
- "ch_wo_null = ch_wo_null.drop(\"school_shutdown_50case\", axis=1)\n",
- "ch_wo_null = ch_wo_null.drop(\"school_shutdown_1death\", axis=1)\n",
- "ch_wo_null = ch_wo_null.drop(\"meat\", axis=1)\n",
- "ch_wo_null = ch_wo_null.drop(\"milk_-_excluding_butter\", axis=1)\n",
- "ch_wo_null"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 16,
- "metadata": {
- "pycharm": {
- "name": "#%%\n"
- }
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "<class 'pandas.core.frame.DataFrame'>\n",
- "RangeIndex: 180 entries, 0 to 179\n",
- "Data columns (total 48 columns):\n",
- " # Column Non-Null Count Dtype \n",
- "--- ------ -------------- ----- \n",
- " 0 Country_Region 180 non-null object \n",
- " 1 first_1ConfirmedCases 180 non-null object \n",
- " 2 first_1Fatalities 180 non-null object \n",
- " 3 first_10ConfirmedCases 180 non-null object \n",
- " 4 first_50ConfirmedCases 180 non-null object \n",
- " 5 first_100ConfirmedCases 180 non-null object \n",
- " 6 cases_growth 180 non-null float64\n",
- " 7 death_growth 180 non-null float64\n",
- " 8 Cardiovascular diseases (%) 180 non-null float64\n",
- " 9 Diabetes, blood, & endocrine diseases (%) 180 non-null float64\n",
- " 10 Respiratory diseases (%) 180 non-null float64\n",
- " 11 Liver disease (%) 180 non-null float64\n",
- " 12 HIV/AIDS and tuberculosis (%) 180 non-null float64\n",
- " 13 Malaria & neglected tropical diseases (%) 180 non-null float64\n",
- " 14 Share of deaths from smoking (%) 180 non-null float64\n",
- " 15 alcoholic_beverages 180 non-null float64\n",
- " 16 animal_fats 180 non-null float64\n",
- " 17 aquatic_products,_other 180 non-null float64\n",
- " 18 cereals_-_excluding_beer 180 non-null float64\n",
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- "dtypes: float64(40), int64(1), object(7)\n",
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- " <td>Afghanistan</td>\n",
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- " <td>2020-03-22</td>\n",
- " <td>2020-03-14</td>\n",
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- " <td>...</td>\n",
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- " <td>2.38</td>\n",
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- " <td>Algeria</td>\n",
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- " <td>2020-03-12</td>\n",
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- " <td>2020-03-16</td>\n",
- " <td>2020-03-21</td>\n",
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- " <td>5.0</td>\n",
- " <td>1.52</td>\n",
- " <td>4.4</td>\n",
- " <td>-0.9</td>\n",
- " <td>27.4</td>\n",
- " <td>72.0</td>\n",
- " <td>56</td>\n",
- " <td>64.0</td>\n",
- " <td>76.0</td>\n",
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- " <tr>\n",
- " <th>3</th>\n",
- " <td>Andorra</td>\n",
- " <td>2020-03-02</td>\n",
- " <td>2020-03-22</td>\n",
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- " <td>25.6</td>\n",
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- " <td>62</td>\n",
- " <td>77.0</td>\n",
- " <td>79.0</td>\n",
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- " <tr>\n",
- " <th>4</th>\n",
- " <td>Angola</td>\n",
- " <td>2020-03-20</td>\n",
- " <td>2020-03-29</td>\n",
- " <td>2020-03-08</td>\n",
- " <td>2020-03-16</td>\n",
- " <td>2020-03-14</td>\n",
- " <td>0.132143</td>\n",
- " <td>0.000000</td>\n",
- " <td>4.480300</td>\n",
- " <td>2.733065</td>\n",
- " <td>...</td>\n",
- " <td>79.0</td>\n",
- " <td>5.0</td>\n",
- " <td>3.43</td>\n",
- " <td>8.5</td>\n",
- " <td>-0.2</td>\n",
- " <td>8.2</td>\n",
- " <td>89.0</td>\n",
- " <td>80</td>\n",
- " <td>68.0</td>\n",
- " <td>76.0</td>\n",
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- " <tr>\n",
- " <th>175</th>\n",
- " <td>Venezuela</td>\n",
- " <td>2020-03-14</td>\n",
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- " <td>2020-03-15</td>\n",
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- " <td>25.6</td>\n",
- " <td>87.0</td>\n",
- " <td>74</td>\n",
- " <td>75.0</td>\n",
- " <td>81.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>176</th>\n",
- " <td>Vietnam</td>\n",
- " <td>2020-01-23</td>\n",
- " <td>2020-03-11</td>\n",
- " <td>2020-02-06</td>\n",
- " <td>2020-03-14</td>\n",
- " <td>2020-03-22</td>\n",
- " <td>0.061529</td>\n",
- " <td>0.000000</td>\n",
- " <td>16.842832</td>\n",
- " <td>6.516006</td>\n",
- " <td>...</td>\n",
- " <td>97.0</td>\n",
- " <td>5.0</td>\n",
- " <td>0.84</td>\n",
- " <td>6.0</td>\n",
- " <td>-0.3</td>\n",
- " <td>2.1</td>\n",
- " <td>71.0</td>\n",
- " <td>23</td>\n",
- " <td>37.0</td>\n",
- " <td>74.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>177</th>\n",
- " <td>West Bank and Gaza</td>\n",
- " <td>2020-03-05</td>\n",
- " <td>2020-03-26</td>\n",
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- " <td>65</td>\n",
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- " <td>82.0</td>\n",
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- " <tr>\n",
- " <th>178</th>\n",
- " <td>Zambia</td>\n",
- " <td>2020-03-18</td>\n",
- " <td>2020-04-02</td>\n",
- " <td>2020-03-25</td>\n",
- " <td>2020-03-16</td>\n",
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- " <td>2.823180</td>\n",
- " <td>...</td>\n",
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- " <td>5.0</td>\n",
- " <td>2.89</td>\n",
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- " <td>93.0</td>\n",
- " <td>78</td>\n",
- " <td>85.0</td>\n",
- " <td>76.0</td>\n",
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- " <tr>\n",
- " <th>179</th>\n",
- " <td>Zimbabwe</td>\n",
- " <td>2020-03-20</td>\n",
- " <td>2020-03-23</td>\n",
- " <td>2020-03-08</td>\n",
- " <td>2020-03-16</td>\n",
- " <td>2020-03-14</td>\n",
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- " <td>90.0</td>\n",
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- " <td>1.87</td>\n",
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- " <td>15.5</td>\n",
- " <td>83.0</td>\n",
- " <td>80</td>\n",
- " <td>68.0</td>\n",
- " <td>76.0</td>\n",
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- " Country_Region first_1ConfirmedCases first_1Fatalities \\\n",
- "0 Afghanistan 2020-02-24 2020-03-22 \n",
- "1 Albania 2020-03-09 2020-03-11 \n",
- "2 Algeria 2020-02-25 2020-03-12 \n",
- "3 Andorra 2020-03-02 2020-03-22 \n",
- "4 Angola 2020-03-20 2020-03-29 \n",
- ".. ... ... ... \n",
- "175 Venezuela 2020-03-14 2020-03-27 \n",
- "176 Vietnam 2020-01-23 2020-03-11 \n",
- "177 West Bank and Gaza 2020-03-05 2020-03-26 \n",
- "178 Zambia 2020-03-18 2020-04-02 \n",
- "179 Zimbabwe 2020-03-20 2020-03-23 \n",
- "\n",
- " first_10ConfirmedCases first_50ConfirmedCases first_100ConfirmedCases \\\n",
- "0 2020-03-14 2020-03-24 2020-03-27 \n",
- "1 2020-03-10 2020-03-16 2020-03-23 \n",
- "2 2020-03-04 2020-03-16 2020-03-21 \n",
- "3 2020-03-17 2020-03-19 2020-03-22 \n",
- "4 2020-03-08 2020-03-16 2020-03-14 \n",
- ".. ... ... ... \n",
- "175 2020-03-15 2020-03-21 2020-03-26 \n",
- "176 2020-02-06 2020-03-14 2020-03-22 \n",
- "177 2020-03-07 2020-03-22 2020-03-29 \n",
- "178 2020-03-25 2020-03-16 2020-03-14 \n",
- "179 2020-03-08 2020-03-16 2020-03-14 \n",
- "\n",
- " cases_growth death_growth Cardiovascular diseases (%) \\\n",
- "0 0.174179 0.083333 8.953006 \n",
- "1 0.068699 0.130051 27.016784 \n",
- "2 0.158588 0.228578 17.005476 \n",
- "3 0.082774 0.345238 13.784688 \n",
- "4 0.132143 0.000000 4.480300 \n",
- ".. ... ... ... \n",
- "175 0.054474 0.361111 12.951494 \n",
- "176 0.061529 0.000000 16.842832 \n",
- "177 0.101132 0.000000 2.533060 \n",
- "178 0.104540 0.000000 4.074966 \n",
- "179 0.111310 0.000000 6.560883 \n",
- "\n",
- " Diabetes, blood, & endocrine diseases (%) ... bcg_coverage \\\n",
- "0 5.273280 ... 86.0 \n",
- "1 4.571592 ... 99.0 \n",
- "2 8.614000 ... 99.0 \n",
- "3 4.381889 ... 99.0 \n",
- "4 2.733065 ... 79.0 \n",
- ".. ... ... ... \n",
- "175 8.146976 ... 82.0 \n",
- "176 6.516006 ... 97.0 \n",
- "177 2.154277 ... 99.0 \n",
- "178 2.823180 ... 99.0 \n",
- "179 3.622970 ... 90.0 \n",
- "\n",
- " bcg_year_delta population growth rate death rate net migration rate \\\n",
- "0 5.0 2.38 12.7 -0.1 \n",
- "1 5.0 0.28 7.1 -3.3 \n",
- "2 5.0 1.52 4.4 -0.9 \n",
- "3 5.0 -0.06 7.7 0.0 \n",
- "4 5.0 3.43 8.5 -0.2 \n",
- ".. ... ... ... ... \n",
- "175 5.0 -0.18 7.5 -3.4 \n",
- "176 5.0 0.84 6.0 -0.3 \n",
- "177 5.0 -0.19 7.3 0.0 \n",
- "178 5.0 2.89 11.6 0.0 \n",
- "179 5.0 1.87 9.3 -5.0 \n",
- "\n",
- " obesity - adult prevalence rate FF_DayOfYear case1_DayOfYear \\\n",
- "0 5.5 82.0 55 \n",
- "1 21.7 71.0 69 \n",
- "2 27.4 72.0 56 \n",
- "3 25.6 82.0 62 \n",
- "4 8.2 89.0 80 \n",
- ".. ... ... ... \n",
- "175 25.6 87.0 74 \n",
- "176 2.1 71.0 23 \n",
- "177 20.2 86.0 65 \n",
- "178 8.1 93.0 78 \n",
- "179 15.5 83.0 80 \n",
- "\n",
- " case10_DayOfYear case50_DayOfYear \n",
- "0 74.0 84.0 \n",
- "1 70.0 76.0 \n",
- "2 64.0 76.0 \n",
- "3 77.0 79.0 \n",
- "4 68.0 76.0 \n",
- ".. ... ... \n",
- "175 75.0 81.0 \n",
- "176 37.0 74.0 \n",
- "177 67.0 82.0 \n",
- "178 85.0 76.0 \n",
- "179 68.0 76.0 \n",
- "\n",
- "[180 rows x 48 columns]"
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- "data_new = ch_wo_null\n",
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- "execution_count": 18,
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- "source": [
- "q = data_new['death_growth'].quantile(0.99)\n",
- "data_new2 = data_new[data_new['death_growth']<q]"
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- "cell_type": "code",
- "execution_count": 19,
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- " <th>1</th>\n",
- " <td>Albania</td>\n",
- " <td>2020-03-09</td>\n",
- " <td>2020-03-11</td>\n",
- " <td>2020-03-10</td>\n",
- " <td>2020-03-16</td>\n",
- " <td>2020-03-23</td>\n",
- " <td>0.068699</td>\n",
- " <td>0.130051</td>\n",
- " <td>27.016784</td>\n",
- " <td>4.571592</td>\n",
- " <td>...</td>\n",
- " <td>99.0</td>\n",
- " <td>5.0</td>\n",
- " <td>0.28</td>\n",
- " <td>7.1</td>\n",
- " <td>-3.3</td>\n",
- " <td>21.7</td>\n",
- " <td>71.0</td>\n",
- " <td>69</td>\n",
- " <td>70.0</td>\n",
- " <td>76.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2</th>\n",
- " <td>Algeria</td>\n",
- " <td>2020-02-25</td>\n",
- " <td>2020-03-12</td>\n",
- " <td>2020-03-04</td>\n",
- " <td>2020-03-16</td>\n",
- " <td>2020-03-21</td>\n",
- " <td>0.158588</td>\n",
- " <td>0.228578</td>\n",
- " <td>17.005476</td>\n",
- " <td>8.614000</td>\n",
- " <td>...</td>\n",
- " <td>99.0</td>\n",
- " <td>5.0</td>\n",
- " <td>1.52</td>\n",
- " <td>4.4</td>\n",
- " <td>-0.9</td>\n",
- " <td>27.4</td>\n",
- " <td>72.0</td>\n",
- " <td>56</td>\n",
- " <td>64.0</td>\n",
- " <td>76.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>Andorra</td>\n",
- " <td>2020-03-02</td>\n",
- " <td>2020-03-22</td>\n",
- " <td>2020-03-17</td>\n",
- " <td>2020-03-19</td>\n",
- " <td>2020-03-22</td>\n",
- " <td>0.082774</td>\n",
- " <td>0.345238</td>\n",
- " <td>13.784688</td>\n",
- " <td>4.381889</td>\n",
- " <td>...</td>\n",
- " <td>99.0</td>\n",
- " <td>5.0</td>\n",
- " <td>-0.06</td>\n",
- " <td>7.7</td>\n",
- " <td>0.0</td>\n",
- " <td>25.6</td>\n",
- " <td>82.0</td>\n",
- " <td>62</td>\n",
- " <td>77.0</td>\n",
- " <td>79.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>Angola</td>\n",
- " <td>2020-03-20</td>\n",
- " <td>2020-03-29</td>\n",
- " <td>2020-03-08</td>\n",
- " <td>2020-03-16</td>\n",
- " <td>2020-03-14</td>\n",
- " <td>0.132143</td>\n",
- " <td>0.000000</td>\n",
- " <td>4.480300</td>\n",
- " <td>2.733065</td>\n",
- " <td>...</td>\n",
- " <td>79.0</td>\n",
- " <td>5.0</td>\n",
- " <td>3.43</td>\n",
- " <td>8.5</td>\n",
- " <td>-0.2</td>\n",
- " <td>8.2</td>\n",
- " <td>89.0</td>\n",
- " <td>80</td>\n",
- " <td>68.0</td>\n",
- " <td>76.0</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",
- " <td>...</td>\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",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>175</th>\n",
- " <td>Venezuela</td>\n",
- " <td>2020-03-14</td>\n",
- " <td>2020-03-27</td>\n",
- " <td>2020-03-15</td>\n",
- " <td>2020-03-21</td>\n",
- " <td>2020-03-26</td>\n",
- " <td>0.054474</td>\n",
- " <td>0.361111</td>\n",
- " <td>12.951494</td>\n",
- " <td>8.146976</td>\n",
- " <td>...</td>\n",
- " <td>82.0</td>\n",
- " <td>5.0</td>\n",
- " <td>-0.18</td>\n",
- " <td>7.5</td>\n",
- " <td>-3.4</td>\n",
- " <td>25.6</td>\n",
- " <td>87.0</td>\n",
- " <td>74</td>\n",
- " <td>75.0</td>\n",
- " <td>81.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>176</th>\n",
- " <td>Vietnam</td>\n",
- " <td>2020-01-23</td>\n",
- " <td>2020-03-11</td>\n",
- " <td>2020-02-06</td>\n",
- " <td>2020-03-14</td>\n",
- " <td>2020-03-22</td>\n",
- " <td>0.061529</td>\n",
- " <td>0.000000</td>\n",
- " <td>16.842832</td>\n",
- " <td>6.516006</td>\n",
- " <td>...</td>\n",
- " <td>97.0</td>\n",
- " <td>5.0</td>\n",
- " <td>0.84</td>\n",
- " <td>6.0</td>\n",
- " <td>-0.3</td>\n",
- " <td>2.1</td>\n",
- " <td>71.0</td>\n",
- " <td>23</td>\n",
- " <td>37.0</td>\n",
- " <td>74.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>177</th>\n",
- " <td>West Bank and Gaza</td>\n",
- " <td>2020-03-05</td>\n",
- " <td>2020-03-26</td>\n",
- " <td>2020-03-07</td>\n",
- " <td>2020-03-22</td>\n",
- " <td>2020-03-29</td>\n",
- " <td>0.101132</td>\n",
- " <td>0.000000</td>\n",
- " <td>2.533060</td>\n",
- " <td>2.154277</td>\n",
- " <td>...</td>\n",
- " <td>99.0</td>\n",
- " <td>5.0</td>\n",
- " <td>-0.19</td>\n",
- " <td>7.3</td>\n",
- " <td>0.0</td>\n",
- " <td>20.2</td>\n",
- " <td>86.0</td>\n",
- " <td>65</td>\n",
- " <td>67.0</td>\n",
- " <td>82.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>178</th>\n",
- " <td>Zambia</td>\n",
- " <td>2020-03-18</td>\n",
- " <td>2020-04-02</td>\n",
- " <td>2020-03-25</td>\n",
- " <td>2020-03-16</td>\n",
- " <td>2020-03-14</td>\n",
- " <td>0.104540</td>\n",
- " <td>0.000000</td>\n",
- " <td>4.074966</td>\n",
- " <td>2.823180</td>\n",
- " <td>...</td>\n",
- " <td>99.0</td>\n",
- " <td>5.0</td>\n",
- " <td>2.89</td>\n",
- " <td>11.6</td>\n",
- " <td>0.0</td>\n",
- " <td>8.1</td>\n",
- " <td>93.0</td>\n",
- " <td>78</td>\n",
- " <td>85.0</td>\n",
- " <td>76.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>179</th>\n",
- " <td>Zimbabwe</td>\n",
- " <td>2020-03-20</td>\n",
- " <td>2020-03-23</td>\n",
- " <td>2020-03-08</td>\n",
- " <td>2020-03-16</td>\n",
- " <td>2020-03-14</td>\n",
- " <td>0.111310</td>\n",
- " <td>0.000000</td>\n",
- " <td>6.560883</td>\n",
- " <td>3.622970</td>\n",
- " <td>...</td>\n",
- " <td>90.0</td>\n",
- " <td>5.0</td>\n",
- " <td>1.87</td>\n",
- " <td>9.3</td>\n",
- " <td>-5.0</td>\n",
- " <td>15.5</td>\n",
- " <td>83.0</td>\n",
- " <td>80</td>\n",
- " <td>68.0</td>\n",
- " <td>76.0</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "<p>178 rows × 48 columns</p>\n",
- "</div>"
- ],
- "text/plain": [
- " Country_Region first_1ConfirmedCases first_1Fatalities \\\n",
- "0 Afghanistan 2020-02-24 2020-03-22 \n",
- "1 Albania 2020-03-09 2020-03-11 \n",
- "2 Algeria 2020-02-25 2020-03-12 \n",
- "3 Andorra 2020-03-02 2020-03-22 \n",
- "4 Angola 2020-03-20 2020-03-29 \n",
- ".. ... ... ... \n",
- "175 Venezuela 2020-03-14 2020-03-27 \n",
- "176 Vietnam 2020-01-23 2020-03-11 \n",
- "177 West Bank and Gaza 2020-03-05 2020-03-26 \n",
- "178 Zambia 2020-03-18 2020-04-02 \n",
- "179 Zimbabwe 2020-03-20 2020-03-23 \n",
- "\n",
- " first_10ConfirmedCases first_50ConfirmedCases first_100ConfirmedCases \\\n",
- "0 2020-03-14 2020-03-24 2020-03-27 \n",
- "1 2020-03-10 2020-03-16 2020-03-23 \n",
- "2 2020-03-04 2020-03-16 2020-03-21 \n",
- "3 2020-03-17 2020-03-19 2020-03-22 \n",
- "4 2020-03-08 2020-03-16 2020-03-14 \n",
- ".. ... ... ... \n",
- "175 2020-03-15 2020-03-21 2020-03-26 \n",
- "176 2020-02-06 2020-03-14 2020-03-22 \n",
- "177 2020-03-07 2020-03-22 2020-03-29 \n",
- "178 2020-03-25 2020-03-16 2020-03-14 \n",
- "179 2020-03-08 2020-03-16 2020-03-14 \n",
- "\n",
- " cases_growth death_growth Cardiovascular diseases (%) \\\n",
- "0 0.174179 0.083333 8.953006 \n",
- "1 0.068699 0.130051 27.016784 \n",
- "2 0.158588 0.228578 17.005476 \n",
- "3 0.082774 0.345238 13.784688 \n",
- "4 0.132143 0.000000 4.480300 \n",
- ".. ... ... ... \n",
- "175 0.054474 0.361111 12.951494 \n",
- "176 0.061529 0.000000 16.842832 \n",
- "177 0.101132 0.000000 2.533060 \n",
- "178 0.104540 0.000000 4.074966 \n",
- "179 0.111310 0.000000 6.560883 \n",
- "\n",
- " Diabetes, blood, & endocrine diseases (%) ... bcg_coverage \\\n",
- "0 5.273280 ... 86.0 \n",
- "1 4.571592 ... 99.0 \n",
- "2 8.614000 ... 99.0 \n",
- "3 4.381889 ... 99.0 \n",
- "4 2.733065 ... 79.0 \n",
- ".. ... ... ... \n",
- "175 8.146976 ... 82.0 \n",
- "176 6.516006 ... 97.0 \n",
- "177 2.154277 ... 99.0 \n",
- "178 2.823180 ... 99.0 \n",
- "179 3.622970 ... 90.0 \n",
- "\n",
- " bcg_year_delta population growth rate death rate net migration rate \\\n",
- "0 5.0 2.38 12.7 -0.1 \n",
- "1 5.0 0.28 7.1 -3.3 \n",
- "2 5.0 1.52 4.4 -0.9 \n",
- "3 5.0 -0.06 7.7 0.0 \n",
- "4 5.0 3.43 8.5 -0.2 \n",
- ".. ... ... ... ... \n",
- "175 5.0 -0.18 7.5 -3.4 \n",
- "176 5.0 0.84 6.0 -0.3 \n",
- "177 5.0 -0.19 7.3 0.0 \n",
- "178 5.0 2.89 11.6 0.0 \n",
- "179 5.0 1.87 9.3 -5.0 \n",
- "\n",
- " obesity - adult prevalence rate FF_DayOfYear case1_DayOfYear \\\n",
- "0 5.5 82.0 55 \n",
- "1 21.7 71.0 69 \n",
- "2 27.4 72.0 56 \n",
- "3 25.6 82.0 62 \n",
- "4 8.2 89.0 80 \n",
- ".. ... ... ... \n",
- "175 25.6 87.0 74 \n",
- "176 2.1 71.0 23 \n",
- "177 20.2 86.0 65 \n",
- "178 8.1 93.0 78 \n",
- "179 15.5 83.0 80 \n",
- "\n",
- " case10_DayOfYear case50_DayOfYear \n",
- "0 74.0 84.0 \n",
- "1 70.0 76.0 \n",
- "2 64.0 76.0 \n",
- "3 77.0 79.0 \n",
- "4 68.0 76.0 \n",
- ".. ... ... \n",
- "175 75.0 81.0 \n",
- "176 37.0 74.0 \n",
- "177 67.0 82.0 \n",
- "178 85.0 76.0 \n",
- "179 68.0 76.0 \n",
- "\n",
- "[178 rows x 48 columns]"
- ]
- },
- "execution_count": 19,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "data_new2"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 20,
- "metadata": {
- "pycharm": {
- "name": "#%%\n"
- }
- },
- "outputs": [],
- "source": [
- "q = data_new2['death_growth'].quantile(0.01)\n",
- "data_new2 = data_new2[data_new2['death_growth']>q]"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 21,
- "metadata": {
- "pycharm": {
- "name": "#%%\n"
- }
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "<AxesSubplot:xlabel='death_growth', 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": {},
- "output_type": "display_data"
- }
- ],
- "source": [
- "sns.distplot(data_new2['death_growth'])\n",
- "#sns.distplot(ch_wo_null['cases_growth'])\n",
- "#sns.distplot(data_new2['alcoholic_beverages'])\n",
- "#sns.distplot(ch_wo_null['Share of deaths from smoking (%)'])\n",
- "#sns.distplot(ch_wo_null['Cancers (%)'])\n",
- "#sns.distplot(ch_wo_null['population growth rate'])\n",
- "#sns.distplot(ch_wo_null['pneumonia-death-rates'])"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 22,
- "metadata": {
- "pycharm": {
- "name": "#%%\n"
- }
- },
- "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>Country_Region</th>\n",
- " <th>first_1ConfirmedCases</th>\n",
- " <th>first_1Fatalities</th>\n",
- " <th>first_10ConfirmedCases</th>\n",
- " <th>first_50ConfirmedCases</th>\n",
- " <th>first_100ConfirmedCases</th>\n",
- " <th>cases_growth</th>\n",
- " <th>death_growth</th>\n",
- " <th>Cardiovascular diseases (%)</th>\n",
- " <th>Diabetes, blood, & endocrine diseases (%)</th>\n",
- " <th>...</th>\n",
- " <th>bcg_coverage</th>\n",
- " <th>bcg_year_delta</th>\n",
- " <th>population growth rate</th>\n",
- " <th>death rate</th>\n",
- " <th>net migration rate</th>\n",
- " <th>obesity - adult prevalence rate</th>\n",
- " <th>FF_DayOfYear</th>\n",
- " <th>case1_DayOfYear</th>\n",
- " <th>case10_DayOfYear</th>\n",
- " <th>case50_DayOfYear</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>count</th>\n",
- " <td>103</td>\n",
- " <td>103</td>\n",
- " <td>103</td>\n",
- " <td>103</td>\n",
- " <td>103</td>\n",
- " <td>103</td>\n",
- " <td>103.000000</td>\n",
- " <td>103.000000</td>\n",
- " <td>103.000000</td>\n",
- " <td>103.000000</td>\n",
- " <td>...</td>\n",
- " <td>103.000000</td>\n",
- " <td>103.000000</td>\n",
- " <td>103.000000</td>\n",
- " <td>103.000000</td>\n",
- " <td>103.000000</td>\n",
- " <td>103.000000</td>\n",
- " <td>103.000000</td>\n",
- " <td>103.000000</td>\n",
- " <td>103.00000</td>\n",
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- " <td>0.074371</td>\n",
- " <td>0.146269</td>\n",
- " <td>7.458018</td>\n",
- " <td>2.911792</td>\n",
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- " <td>13.941667</td>\n",
- " <td>4.832311</td>\n",
- " <td>1.238615</td>\n",
- " <td>2.709987</td>\n",
- " <td>9.902037</td>\n",
- " <td>8.186200</td>\n",
- " <td>12.103203</td>\n",
- " <td>17.057361</td>\n",
- " <td>13.82115</td>\n",
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- " <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>0.000000</td>\n",
- " <td>0.001283</td>\n",
- " <td>2.533060</td>\n",
- " <td>2.154277</td>\n",
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- " <td>5.000000</td>\n",
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- " <td>1.600000</td>\n",
- " <td>-88.700000</td>\n",
- " <td>3.600000</td>\n",
- " <td>22.000000</td>\n",
- " <td>22.000000</td>\n",
- " <td>22.00000</td>\n",
- " <td>22.000000</td>\n",
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- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
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- " <td>0.073483</td>\n",
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- " <td>11.474504</td>\n",
- " <td>4.938349</td>\n",
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- " <td>71.000000</td>\n",
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- " <td>63.00000</td>\n",
- " <td>70.000000</td>\n",
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- " <td>NaN</td>\n",
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- " <td>0.209057</td>\n",
- " <td>14.413957</td>\n",
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- " <td>...</td>\n",
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- " <td>7.400000</td>\n",
- " <td>-0.100000</td>\n",
- " <td>21.800000</td>\n",
- " <td>77.000000</td>\n",
- " <td>61.000000</td>\n",
- " <td>70.00000</td>\n",
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- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
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- " <td>0.290279</td>\n",
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- " <td>7.856173</td>\n",
- " <td>...</td>\n",
- " <td>99.000000</td>\n",
- " <td>5.000000</td>\n",
- " <td>1.280000</td>\n",
- " <td>9.500000</td>\n",
- " <td>2.000000</td>\n",
- " <td>25.900000</td>\n",
- " <td>82.000000</td>\n",
- " <td>68.500000</td>\n",
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- " <td>79.000000</td>\n",
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- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
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- " <td>0.952381</td>\n",
- " <td>37.378055</td>\n",
- " <td>20.982919</td>\n",
- " <td>...</td>\n",
- " <td>99.000000</td>\n",
- " <td>38.000000</td>\n",
- " <td>4.250000</td>\n",
- " <td>15.000000</td>\n",
- " <td>27.100000</td>\n",
- " <td>36.200000</td>\n",
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- " <td>90.00000</td>\n",
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- " </tbody>\n",
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- "<p>11 rows × 48 columns</p>\n",
- "</div>"
- ],
- "text/plain": [
- " Country_Region first_1ConfirmedCases first_1Fatalities \\\n",
- "count 103 103 103 \n",
- "unique 103 41 35 \n",
- "top Afghanistan 2020-02-26 2020-03-11 \n",
- "freq 1 6 9 \n",
- "mean NaN NaN NaN \n",
- "std NaN NaN NaN \n",
- "min NaN NaN NaN \n",
- "25% NaN NaN NaN \n",
- "50% NaN NaN NaN \n",
- "75% NaN NaN NaN \n",
- "max NaN NaN NaN \n",
- "\n",
- " first_10ConfirmedCases first_50ConfirmedCases first_100ConfirmedCases \\\n",
- "count 103 103 103 \n",
- "unique 35 38 36 \n",
- "top 2020-03-08 2020-03-16 2020-03-14 \n",
- "freq 8 16 19 \n",
- "mean NaN NaN NaN \n",
- "std NaN NaN NaN \n",
- "min NaN NaN NaN \n",
- "25% NaN NaN NaN \n",
- "50% NaN NaN NaN \n",
- "75% NaN NaN NaN \n",
- "max NaN NaN NaN \n",
- "\n",
- " cases_growth death_growth Cardiovascular diseases (%) \\\n",
- "count 103.000000 103.000000 103.000000 \n",
- "unique NaN NaN NaN \n",
- "top NaN NaN NaN \n",
- "freq NaN NaN NaN \n",
- "mean 0.121835 0.230060 15.847214 \n",
- "std 0.074371 0.146269 7.458018 \n",
- "min 0.000000 0.001283 2.533060 \n",
- "25% 0.073483 0.129939 11.474504 \n",
- "50% 0.104680 0.209057 14.413957 \n",
- "75% 0.157083 0.290279 19.397898 \n",
- "max 0.560844 0.952381 37.378055 \n",
- "\n",
- " Diabetes, blood, & endocrine diseases (%) ... bcg_coverage \\\n",
- "count 103.000000 ... 103.000000 \n",
- "unique NaN ... NaN \n",
- "top NaN ... NaN \n",
- "freq NaN ... NaN \n",
- "mean 6.506570 ... 91.504854 \n",
- "std 2.911792 ... 13.941667 \n",
- "min 2.154277 ... 24.000000 \n",
- "25% 4.938349 ... 89.000000 \n",
- "50% 6.080061 ... 98.000000 \n",
- "75% 7.856173 ... 99.000000 \n",
- "max 20.982919 ... 99.000000 \n",
- "\n",
- " bcg_year_delta population growth rate death rate \\\n",
- "count 103.000000 103.000000 103.000000 \n",
- "unique NaN NaN NaN \n",
- "top NaN NaN NaN \n",
- "freq NaN NaN NaN \n",
- "mean 6.106796 0.727767 7.933981 \n",
- "std 4.832311 1.238615 2.709987 \n",
- "min 5.000000 -6.680000 1.600000 \n",
- "25% 5.000000 -0.065000 6.250000 \n",
- "50% 5.000000 0.720000 7.400000 \n",
- "75% 5.000000 1.280000 9.500000 \n",
- "max 38.000000 4.250000 15.000000 \n",
- "\n",
- " net migration rate obesity - adult prevalence rate FF_DayOfYear \\\n",
- "count 103.000000 103.000000 103.000000 \n",
- "unique NaN NaN NaN \n",
- "top NaN NaN NaN \n",
- "freq NaN NaN NaN \n",
- "mean -0.344660 20.525243 74.514563 \n",
- "std 9.902037 8.186200 12.103203 \n",
- "min -88.700000 3.600000 22.000000 \n",
- "25% -1.200000 18.750000 71.000000 \n",
- "50% -0.100000 21.800000 77.000000 \n",
- "75% 2.000000 25.900000 82.000000 \n",
- "max 27.100000 36.200000 91.000000 \n",
- "\n",
- " case1_DayOfYear case10_DayOfYear case50_DayOfYear \n",
- "count 103.000000 103.00000 103.000000 \n",
- "unique NaN NaN NaN \n",
- "top NaN NaN NaN \n",
- "freq NaN NaN NaN \n",
- "mean 56.291262 66.61165 73.058252 \n",
- "std 17.057361 13.82115 10.695267 \n",
- "min 22.000000 22.00000 22.000000 \n",
- "25% 52.000000 63.00000 70.000000 \n",
- "50% 61.000000 70.00000 75.000000 \n",
- "75% 68.500000 75.00000 79.000000 \n",
- "max 85.000000 90.00000 92.000000 \n",
- "\n",
- "[11 rows x 48 columns]"
- ]
- },
- "execution_count": 22,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "NewDataframeName = data_new2.reset_index(drop = True)\n",
- "NewDataframeName.describe(include='all')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 23,
- "metadata": {
- "pycharm": {
- "name": "#%%\n"
- }
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "<class 'pandas.core.frame.DataFrame'>\n",
- "RangeIndex: 103 entries, 0 to 102\n",
- "Data columns (total 48 columns):\n",
- " # Column Non-Null Count Dtype \n",
- "--- ------ -------------- ----- \n",
- " 0 Country_Region 103 non-null object \n",
- " 1 first_1ConfirmedCases 103 non-null object \n",
- " 2 first_1Fatalities 103 non-null object \n",
- " 3 first_10ConfirmedCases 103 non-null object \n",
- " 4 first_50ConfirmedCases 103 non-null object \n",
- " 5 first_100ConfirmedCases 103 non-null object \n",
- " 6 cases_growth 103 non-null float64\n",
- " 7 death_growth 103 non-null float64\n",
- " 8 Cardiovascular diseases (%) 103 non-null float64\n",
- " 9 Diabetes, blood, & endocrine diseases (%) 103 non-null float64\n",
- " 10 Respiratory diseases (%) 103 non-null float64\n",
- " 11 Liver disease (%) 103 non-null float64\n",
- " 12 HIV/AIDS and tuberculosis (%) 103 non-null float64\n",
- " 13 Malaria & neglected tropical diseases (%) 103 non-null float64\n",
- " 14 Share of deaths from smoking (%) 103 non-null float64\n",
- " 15 alcoholic_beverages 103 non-null float64\n",
- " 16 animal_fats 103 non-null float64\n",
- " 17 aquatic_products,_other 103 non-null float64\n",
- " 18 cereals_-_excluding_beer 103 non-null float64\n",
- " 19 eggs 103 non-null float64\n",
- " 20 fish,_seafood 103 non-null float64\n",
- " 21 fruits_-_excluding_wine 103 non-null float64\n",
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- " 23 offals 103 non-null float64\n",
- " 24 oilcrops 103 non-null float64\n",
- " 25 pulses 103 non-null float64\n",
- " 26 spices 103 non-null float64\n",
- " 27 starchy_roots 103 non-null float64\n",
- " 28 stimulants 103 non-null float64\n",
- " 29 sugar_&_sweeteners 103 non-null float64\n",
- " 30 treenuts 103 non-null float64\n",
- " 31 vegetable_oils 103 non-null float64\n",
- " 32 vegetables 103 non-null float64\n",
- " 33 vegetal_products 103 non-null float64\n",
- " 34 hospital_beds_per10k 103 non-null float64\n",
- " 35 hospital_density 103 non-null float64\n",
- " 36 medical_doctors_per10k 103 non-null float64\n",
- " 37 school_closure 103 non-null object \n",
- " 38 bcg_coverage 103 non-null float64\n",
- " 39 bcg_year_delta 103 non-null float64\n",
- " 40 population growth rate 103 non-null float64\n",
- " 41 death rate 103 non-null float64\n",
- " 42 net migration rate 103 non-null float64\n",
- " 43 obesity - adult prevalence rate 103 non-null float64\n",
- " 44 FF_DayOfYear 103 non-null float64\n",
- " 45 case1_DayOfYear 103 non-null int64 \n",
- " 46 case10_DayOfYear 103 non-null float64\n",
- " 47 case50_DayOfYear 103 non-null float64\n",
- "dtypes: float64(40), int64(1), object(7)\n",
- "memory usage: 38.8+ KB\n"
- ]
- }
- ],
- "source": [
- "NewDataframeName.info()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 24,
- "metadata": {
- "pycharm": {
- "name": "#%%\n"
- }
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "array(['Country_Region', 'first_1ConfirmedCases', 'first_1Fatalities',\n",
- " 'first_10ConfirmedCases', 'first_50ConfirmedCases',\n",
- " 'first_100ConfirmedCases', 'cases_growth', 'death_growth',\n",
- " 'Cardiovascular diseases (%)',\n",
- " 'Diabetes, blood, & endocrine diseases (%)',\n",
- " 'Respiratory diseases (%)', 'Liver disease (%)',\n",
- " 'HIV/AIDS and tuberculosis (%)',\n",
- " 'Malaria & neglected tropical diseases (%)',\n",
- " 'Share of deaths from smoking (%)', 'alcoholic_beverages',\n",
- " 'animal_fats', 'aquatic_products,_other',\n",
- " 'cereals_-_excluding_beer', 'eggs', 'fish,_seafood',\n",
- " 'fruits_-_excluding_wine', 'miscellaneous', 'offals', 'oilcrops',\n",
- " 'pulses', 'spices', 'starchy_roots', 'stimulants',\n",
- " 'sugar_&_sweeteners', 'treenuts', 'vegetable_oils', 'vegetables',\n",
- " 'vegetal_products', 'hospital_beds_per10k', 'hospital_density',\n",
- " 'medical_doctors_per10k', 'school_closure', 'bcg_coverage',\n",
- " 'bcg_year_delta', 'population growth rate', 'death rate',\n",
- " 'net migration rate', 'obesity - adult prevalence rate',\n",
- " 'FF_DayOfYear', 'case1_DayOfYear', 'case10_DayOfYear',\n",
- " 'case50_DayOfYear'], dtype=object)"
- ]
- },
- "execution_count": 24,
- "metadata": {},
- "output_type": "execute_result"
- }
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- "source": [
- "NewDataframeName.columns.values"
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- },
- {
- "cell_type": "code",
- "execution_count": 25,
- "metadata": {
- "pycharm": {
- "name": "#%%\n"
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- " <tr style=\"text-align: right;\">\n",
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- " <th>cases_growth</th>\n",
- " <th>death_growth</th>\n",
- " <th>Cardiovascular diseases (%)</th>\n",
- " <th>Diabetes, blood, & endocrine diseases (%)</th>\n",
- " <th>Respiratory diseases (%)</th>\n",
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- " <tr>\n",
- " <th>0</th>\n",
- " <td>Afghanistan</td>\n",
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- " <td>0.083333</td>\n",
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- " <td>5.273280</td>\n",
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- " <tr>\n",
- " <th>1</th>\n",
- " <td>Albania</td>\n",
- " <td>0.068699</td>\n",
- " <td>0.130051</td>\n",
- " <td>27.016784</td>\n",
- " <td>4.571592</td>\n",
- " <td>3.251425</td>\n",
- " <td>1.122277</td>\n",
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- " <td>0.019658</td>\n",
- " <td>19.09</td>\n",
- " <td>62.0</td>\n",
- " <td>0.28</td>\n",
- " <td>7.1</td>\n",
- " <td>-3.3</td>\n",
- " <td>21.7</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2</th>\n",
- " <td>Algeria</td>\n",
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- " <td>0.228578</td>\n",
- " <td>17.005476</td>\n",
- " <td>8.614000</td>\n",
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- " <td>10.92</td>\n",
- " <td>6.0</td>\n",
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- " <td>4.4</td>\n",
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- " <td>27.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>Andorra</td>\n",
- " <td>0.082774</td>\n",
- " <td>0.345238</td>\n",
- " <td>13.784688</td>\n",
- " <td>4.381889</td>\n",
- " <td>4.771667</td>\n",
- " <td>1.561389</td>\n",
- " <td>0.334845</td>\n",
- " <td>0.002159</td>\n",
- " <td>14.24</td>\n",
- " <td>0.0</td>\n",
- " <td>-0.06</td>\n",
- " <td>7.7</td>\n",
- " <td>0.0</td>\n",
- " <td>25.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>Argentina</td>\n",
- " <td>0.118696</td>\n",
- " <td>0.191227</td>\n",
- " <td>15.781373</td>\n",
- " <td>6.642161</td>\n",
- " <td>4.140331</td>\n",
- " <td>1.655163</td>\n",
- " <td>0.958667</td>\n",
- " <td>0.252262</td>\n",
- " <td>15.81</td>\n",
- " <td>93.0</td>\n",
- " <td>0.86</td>\n",
- " <td>7.4</td>\n",
- " <td>-0.1</td>\n",
- " <td>28.3</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",
- " <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>98</th>\n",
- " <td>United Arab Emirates</td>\n",
- " <td>0.169344</td>\n",
- " <td>0.283333</td>\n",
- " <td>11.278293</td>\n",
- " <td>8.792682</td>\n",
- " <td>5.432858</td>\n",
- " <td>0.708467</td>\n",
- " <td>0.394354</td>\n",
- " <td>0.028203</td>\n",
- " <td>9.14</td>\n",
- " <td>0.0</td>\n",
- " <td>1.49</td>\n",
- " <td>2.0</td>\n",
- " <td>7.6</td>\n",
- " <td>31.7</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>99</th>\n",
- " <td>United Kingdom</td>\n",
- " <td>0.126304</td>\n",
- " <td>0.159024</td>\n",
- " <td>14.392087</td>\n",
- " <td>4.287931</td>\n",
- " <td>6.677914</td>\n",
- " <td>1.441337</td>\n",
- " <td>0.145590</td>\n",
- " <td>0.078985</td>\n",
- " <td>15.43</td>\n",
- " <td>152.0</td>\n",
- " <td>0.49</td>\n",
- " <td>9.5</td>\n",
- " <td>2.5</td>\n",
- " <td>27.8</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>100</th>\n",
- " <td>Uruguay</td>\n",
- " <td>0.067719</td>\n",
- " <td>0.500000</td>\n",
- " <td>15.424930</td>\n",
- " <td>5.935960</td>\n",
- " <td>4.842926</td>\n",
- " <td>1.155385</td>\n",
- " <td>0.974250</td>\n",
- " <td>0.043620</td>\n",
- " <td>14.39</td>\n",
- " <td>85.0</td>\n",
- " <td>0.27</td>\n",
- " <td>9.3</td>\n",
- " <td>-0.9</td>\n",
- " <td>27.9</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>101</th>\n",
- " <td>Uzbekistan</td>\n",
- " <td>0.156740</td>\n",
- " <td>0.166667</td>\n",
- " <td>26.112204</td>\n",
- " <td>6.080061</td>\n",
- " <td>2.135775</td>\n",
- " <td>4.155907</td>\n",
- " <td>1.479813</td>\n",
- " <td>0.260031</td>\n",
- " <td>10.08</td>\n",
- " <td>41.0</td>\n",
- " <td>0.88</td>\n",
- " <td>5.4</td>\n",
- " <td>-1.9</td>\n",
- " <td>16.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>102</th>\n",
- " <td>Venezuela</td>\n",
- " <td>0.054474</td>\n",
- " <td>0.361111</td>\n",
- " <td>12.951494</td>\n",
- " <td>8.146976</td>\n",
- " <td>2.856847</td>\n",
- " <td>1.400547</td>\n",
- " <td>1.615396</td>\n",
- " <td>1.023029</td>\n",
- " <td>9.18</td>\n",
- " <td>38.0</td>\n",
- " <td>-0.18</td>\n",
- " <td>7.5</td>\n",
- " <td>-3.4</td>\n",
- " <td>25.6</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "<p>103 rows × 15 columns</p>\n",
- "</div>"
- ],
- "text/plain": [
- " Country_Region cases_growth death_growth \\\n",
- "0 Afghanistan 0.174179 0.083333 \n",
- "1 Albania 0.068699 0.130051 \n",
- "2 Algeria 0.158588 0.228578 \n",
- "3 Andorra 0.082774 0.345238 \n",
- "4 Argentina 0.118696 0.191227 \n",
- ".. ... ... ... \n",
- "98 United Arab Emirates 0.169344 0.283333 \n",
- "99 United Kingdom 0.126304 0.159024 \n",
- "100 Uruguay 0.067719 0.500000 \n",
- "101 Uzbekistan 0.156740 0.166667 \n",
- "102 Venezuela 0.054474 0.361111 \n",
- "\n",
- " Cardiovascular diseases (%) Diabetes, blood, & endocrine diseases (%) \\\n",
- "0 8.953006 5.273280 \n",
- "1 27.016784 4.571592 \n",
- "2 17.005476 8.614000 \n",
- "3 13.784688 4.381889 \n",
- "4 15.781373 6.642161 \n",
- ".. ... ... \n",
- "98 11.278293 8.792682 \n",
- "99 14.392087 4.287931 \n",
- "100 15.424930 5.935960 \n",
- "101 26.112204 6.080061 \n",
- "102 12.951494 8.146976 \n",
- "\n",
- " Respiratory diseases (%) Liver disease (%) \\\n",
- "0 1.963170 0.498116 \n",
- "1 3.251425 1.122277 \n",
- "2 3.475417 0.926308 \n",
- "3 4.771667 1.561389 \n",
- "4 4.140331 1.655163 \n",
- ".. ... ... \n",
- "98 5.432858 0.708467 \n",
- "99 6.677914 1.441337 \n",
- "100 4.842926 1.155385 \n",
- "101 2.135775 4.155907 \n",
- "102 2.856847 1.400547 \n",
- "\n",
- " HIV/AIDS and tuberculosis (%) Malaria & neglected tropical diseases (%) \\\n",
- "0 2.938014 1.393345 \n",
- "1 0.051632 0.019658 \n",
- "2 0.390351 0.124510 \n",
- "3 0.334845 0.002159 \n",
- "4 0.958667 0.252262 \n",
- ".. ... ... \n",
- "98 0.394354 0.028203 \n",
- "99 0.145590 0.078985 \n",
- "100 0.974250 0.043620 \n",
- "101 1.479813 0.260031 \n",
- "102 1.615396 1.023029 \n",
- "\n",
- " Share of deaths from smoking (%) alcoholic_beverages \\\n",
- "0 3.56 0.0 \n",
- "1 19.09 62.0 \n",
- "2 10.92 6.0 \n",
- "3 14.24 0.0 \n",
- "4 15.81 93.0 \n",
- ".. ... ... \n",
- "98 9.14 0.0 \n",
- "99 15.43 152.0 \n",
- "100 14.39 85.0 \n",
- "101 10.08 41.0 \n",
- "102 9.18 38.0 \n",
- "\n",
- " population growth rate death rate net migration rate \\\n",
- "0 2.38 12.7 -0.1 \n",
- "1 0.28 7.1 -3.3 \n",
- "2 1.52 4.4 -0.9 \n",
- "3 -0.06 7.7 0.0 \n",
- "4 0.86 7.4 -0.1 \n",
- ".. ... ... ... \n",
- "98 1.49 2.0 7.6 \n",
- "99 0.49 9.5 2.5 \n",
- "100 0.27 9.3 -0.9 \n",
- "101 0.88 5.4 -1.9 \n",
- "102 -0.18 7.5 -3.4 \n",
- "\n",
- " obesity - adult prevalence rate \n",
- "0 5.5 \n",
- "1 21.7 \n",
- "2 27.4 \n",
- "3 25.6 \n",
- "4 28.3 \n",
- ".. ... \n",
- "98 31.7 \n",
- "99 27.8 \n",
- "100 27.9 \n",
- "101 16.6 \n",
- "102 25.6 \n",
- "\n",
- "[103 rows x 15 columns]"
- ]
- },
- "execution_count": 25,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "NewDataframeName = NewDataframeName.drop('first_1ConfirmedCases', axis=1)\n",
- "NewDataframeName = NewDataframeName.drop('first_1Fatalities', axis=1)\n",
- "NewDataframeName = NewDataframeName.drop('first_10ConfirmedCases', axis=1)\n",
- "NewDataframeName = NewDataframeName.drop('first_50ConfirmedCases', axis=1)\n",
- "NewDataframeName = NewDataframeName.drop('first_100ConfirmedCases', axis=1)\n",
- "NewDataframeName = NewDataframeName.drop('animal_fats', axis=1)\n",
- "NewDataframeName = NewDataframeName.drop('aquatic_products,_other', axis=1)\n",
- "NewDataframeName = NewDataframeName.drop('cereals_-_excluding_beer', axis=1)\n",
- "NewDataframeName = NewDataframeName.drop('eggs', axis=1)\n",
- "NewDataframeName = NewDataframeName.drop('fish,_seafood', axis=1)\n",
- "NewDataframeName = NewDataframeName.drop('fruits_-_excluding_wine', axis=1)\n",
- "NewDataframeName = NewDataframeName.drop('miscellaneous', axis=1)\n",
- "NewDataframeName = NewDataframeName.drop('offals', axis=1)\n",
- "NewDataframeName = NewDataframeName.drop('oilcrops', axis=1)\n",
- "NewDataframeName = NewDataframeName.drop('pulses', axis=1)\n",
- "NewDataframeName = NewDataframeName.drop('spices', axis=1)\n",
- "NewDataframeName = NewDataframeName.drop('starchy_roots', axis=1)\n",
- "NewDataframeName = NewDataframeName.drop('stimulants', axis=1)\n",
- "NewDataframeName = NewDataframeName.drop('sugar_&_sweeteners', axis=1)\n",
- "NewDataframeName = NewDataframeName.drop('treenuts', axis=1)\n",
- "NewDataframeName = NewDataframeName.drop('vegetable_oils', axis=1)\n",
- "NewDataframeName = NewDataframeName.drop('vegetables', axis=1)\n",
- "NewDataframeName = NewDataframeName.drop('vegetal_products', axis=1)\n",
- "NewDataframeName = NewDataframeName.drop('hospital_beds_per10k', axis=1)\n",
- "NewDataframeName = NewDataframeName.drop('hospital_density', axis=1)\n",
- "NewDataframeName = NewDataframeName.drop('medical_doctors_per10k', axis=1)\n",
- "NewDataframeName = NewDataframeName.drop('school_closure', axis=1)\n",
- "NewDataframeName = NewDataframeName.drop('bcg_coverage', axis=1)\n",
- "NewDataframeName = NewDataframeName.drop('bcg_year_delta', axis=1)\n",
- "NewDataframeName = NewDataframeName.drop('FF_DayOfYear', axis=1)\n",
- "NewDataframeName = NewDataframeName.drop('case1_DayOfYear', axis=1)\n",
- "NewDataframeName = NewDataframeName.drop('case10_DayOfYear', axis=1)\n",
- "NewDataframeName = NewDataframeName.drop('case50_DayOfYear', axis=1)\n",
- "NewDataframeName"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 26,
- "metadata": {
- "pycharm": {
- "name": "#%%\n"
- }
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "<class 'pandas.core.frame.DataFrame'>\n",
- "RangeIndex: 103 entries, 0 to 102\n",
- "Data columns (total 15 columns):\n",
- " # Column Non-Null Count Dtype \n",
- "--- ------ -------------- ----- \n",
- " 0 Country_Region 103 non-null object \n",
- " 1 cases_growth 103 non-null float64\n",
- " 2 death_growth 103 non-null float64\n",
- " 3 Cardiovascular diseases (%) 103 non-null float64\n",
- " 4 Diabetes, blood, & endocrine diseases (%) 103 non-null float64\n",
- " 5 Respiratory diseases (%) 103 non-null float64\n",
- " 6 Liver disease (%) 103 non-null float64\n",
- " 7 HIV/AIDS and tuberculosis (%) 103 non-null float64\n",
- " 8 Malaria & neglected tropical diseases (%) 103 non-null float64\n",
- " 9 Share of deaths from smoking (%) 103 non-null float64\n",
- " 10 alcoholic_beverages 103 non-null float64\n",
- " 11 population growth rate 103 non-null float64\n",
- " 12 death rate 103 non-null float64\n",
- " 13 net migration rate 103 non-null float64\n",
- " 14 obesity - adult prevalence rate 103 non-null float64\n",
- "dtypes: float64(14), object(1)\n",
- "memory usage: 12.2+ KB\n"
- ]
- }
- ],
- "source": [
- "NewDataframeName.info()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 27,
- "metadata": {
- "pycharm": {
- "name": "#%%\n"
- }
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "Text(0.5, 1.0, 'Death growth and Obesity - adult prevalence rate')"
- ]
- },
- "execution_count": 27,
- "metadata": {},
- "output_type": "execute_result"
- },
- {
- "data": {
- "image/png": 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",
- "text/plain": [
- "<Figure size 3600x216 with 14 Axes>"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- }
- ],
- "source": [
- "f, (ax1, ax2, ax3, ax4, ax5, ax6, ax6, ax7, ax8, ax9, ax10, ax11, ax12, ax13) = plt.subplots(1, 14, sharey=True, figsize =(50,3))\n",
- "ax1.scatter(NewDataframeName['cases_growth'],NewDataframeName['death_growth'])\n",
- "ax1.set_title('Death growth and Case growth')\n",
- "ax2.scatter(NewDataframeName['Cardiovascular diseases (%)'],NewDataframeName['death_growth'])\n",
- "ax2.set_title('Death growth and Cardiovascular diseases (%)')\n",
- "ax3.scatter(NewDataframeName['Diabetes, blood, & endocrine diseases (%)'],NewDataframeName['death_growth'])\n",
- "ax3.set_title('Death growth and Diabetes, blood, & endocrine diseases (%')\n",
- "ax4.scatter(NewDataframeName['Respiratory diseases (%)'],NewDataframeName['death_growth'])\n",
- "ax4.set_title('Death growth and Respiratory diseases (%)')\n",
- "ax5.scatter(NewDataframeName['Liver disease (%)'],NewDataframeName['death_growth'])\n",
- "ax5.set_title('Death growth and Liver disease (%)')\n",
- "ax6.scatter(NewDataframeName['HIV/AIDS and tuberculosis (%)'],NewDataframeName['death_growth'])\n",
- "ax6.set_title('Death growth and HIV/AIDS and tuberculosis (%)')\n",
- "ax7.scatter(NewDataframeName['Malaria & neglected tropical diseases (%)'],NewDataframeName['death_growth'])\n",
- "ax7.set_title('Death growth and Malaria & neglected tropical diseases (%)')\n",
- "ax8.scatter(NewDataframeName['Share of deaths from smoking (%)'],NewDataframeName['death_growth'])\n",
- "ax8.set_title('Death growth and Share of deaths from smoking (%)')\n",
- "ax9.scatter(NewDataframeName['alcoholic_beverages'],NewDataframeName['death_growth'])\n",
- "ax9.set_title('Death growth and Alcoholic beverages')\n",
- "ax10.scatter(NewDataframeName['population growth rate'],NewDataframeName['death_growth'])\n",
- "ax10.set_title('Death growth and Population growth rate')\n",
- "ax11.scatter(NewDataframeName['death rate'],NewDataframeName['death_growth'])\n",
- "ax11.set_title('Death growth and Death rate')\n",
- "ax12.scatter(NewDataframeName['net migration rate'],NewDataframeName['death_growth'])\n",
- "ax12.set_title('Death growth and Net migration rate')\n",
- "ax13.scatter(NewDataframeName['obesity - adult prevalence rate'],NewDataframeName['death_growth'])\n",
- "ax13.set_title('Death growth and Obesity - adult prevalence rate')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 28,
- "metadata": {
- "pycharm": {
- "name": "#%%\n"
- }
- },
- "outputs": [],
- "source": [
- "from statsmodels.stats.outliers_influence import variance_inflation_factor"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 29,
- "metadata": {
- "pycharm": {
- "name": "#%%\n"
- }
- },
- "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>cases_growth</th>\n",
- " <th>death_growth</th>\n",
- " <th>Cardiovascular diseases (%)</th>\n",
- " <th>Diabetes, blood, & endocrine diseases (%)</th>\n",
- " <th>Respiratory diseases (%)</th>\n",
- " <th>Liver disease (%)</th>\n",
- " <th>HIV/AIDS and tuberculosis (%)</th>\n",
- " <th>Malaria & neglected tropical diseases (%)</th>\n",
- " <th>Share of deaths from smoking (%)</th>\n",
- " <th>alcoholic_beverages</th>\n",
- " <th>population growth rate</th>\n",
- " <th>death rate</th>\n",
- " <th>net migration rate</th>\n",
- " <th>obesity - adult prevalence rate</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>0</th>\n",
- " <td>0.174179</td>\n",
- " <td>0.083333</td>\n",
- " <td>8.953006</td>\n",
- " <td>5.273280</td>\n",
- " <td>1.963170</td>\n",
- " <td>0.498116</td>\n",
- " <td>2.938014</td>\n",
- " <td>1.393345</td>\n",
- " <td>3.56</td>\n",
- " <td>0.0</td>\n",
- " <td>2.38</td>\n",
- " <td>12.7</td>\n",
- " <td>-0.1</td>\n",
- " <td>5.5</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>1</th>\n",
- " <td>0.068699</td>\n",
- " <td>0.130051</td>\n",
- " <td>27.016784</td>\n",
- " <td>4.571592</td>\n",
- " <td>3.251425</td>\n",
- " <td>1.122277</td>\n",
- " <td>0.051632</td>\n",
- " <td>0.019658</td>\n",
- " <td>19.09</td>\n",
- " <td>62.0</td>\n",
- " <td>0.28</td>\n",
- " <td>7.1</td>\n",
- " <td>-3.3</td>\n",
- " <td>21.7</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2</th>\n",
- " <td>0.158588</td>\n",
- " <td>0.228578</td>\n",
- " <td>17.005476</td>\n",
- " <td>8.614000</td>\n",
- " <td>3.475417</td>\n",
- " <td>0.926308</td>\n",
- " <td>0.390351</td>\n",
- " <td>0.124510</td>\n",
- " <td>10.92</td>\n",
- " <td>6.0</td>\n",
- " <td>1.52</td>\n",
- " <td>4.4</td>\n",
- " <td>-0.9</td>\n",
- " <td>27.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>0.082774</td>\n",
- " <td>0.345238</td>\n",
- " <td>13.784688</td>\n",
- " <td>4.381889</td>\n",
- " <td>4.771667</td>\n",
- " <td>1.561389</td>\n",
- " <td>0.334845</td>\n",
- " <td>0.002159</td>\n",
- " <td>14.24</td>\n",
- " <td>0.0</td>\n",
- " <td>-0.06</td>\n",
- " <td>7.7</td>\n",
- " <td>0.0</td>\n",
- " <td>25.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>0.118696</td>\n",
- " <td>0.191227</td>\n",
- " <td>15.781373</td>\n",
- " <td>6.642161</td>\n",
- " <td>4.140331</td>\n",
- " <td>1.655163</td>\n",
- " <td>0.958667</td>\n",
- " <td>0.252262</td>\n",
- " <td>15.81</td>\n",
- " <td>93.0</td>\n",
- " <td>0.86</td>\n",
- " <td>7.4</td>\n",
- " <td>-0.1</td>\n",
- " <td>28.3</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",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>98</th>\n",
- " <td>0.169344</td>\n",
- " <td>0.283333</td>\n",
- " <td>11.278293</td>\n",
- " <td>8.792682</td>\n",
- " <td>5.432858</td>\n",
- " <td>0.708467</td>\n",
- " <td>0.394354</td>\n",
- " <td>0.028203</td>\n",
- " <td>9.14</td>\n",
- " <td>0.0</td>\n",
- " <td>1.49</td>\n",
- " <td>2.0</td>\n",
- " <td>7.6</td>\n",
- " <td>31.7</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>99</th>\n",
- " <td>0.126304</td>\n",
- " <td>0.159024</td>\n",
- " <td>14.392087</td>\n",
- " <td>4.287931</td>\n",
- " <td>6.677914</td>\n",
- " <td>1.441337</td>\n",
- " <td>0.145590</td>\n",
- " <td>0.078985</td>\n",
- " <td>15.43</td>\n",
- " <td>152.0</td>\n",
- " <td>0.49</td>\n",
- " <td>9.5</td>\n",
- " <td>2.5</td>\n",
- " <td>27.8</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>100</th>\n",
- " <td>0.067719</td>\n",
- " <td>0.500000</td>\n",
- " <td>15.424930</td>\n",
- " <td>5.935960</td>\n",
- " <td>4.842926</td>\n",
- " <td>1.155385</td>\n",
- " <td>0.974250</td>\n",
- " <td>0.043620</td>\n",
- " <td>14.39</td>\n",
- " <td>85.0</td>\n",
- " <td>0.27</td>\n",
- " <td>9.3</td>\n",
- " <td>-0.9</td>\n",
- " <td>27.9</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>101</th>\n",
- " <td>0.156740</td>\n",
- " <td>0.166667</td>\n",
- " <td>26.112204</td>\n",
- " <td>6.080061</td>\n",
- " <td>2.135775</td>\n",
- " <td>4.155907</td>\n",
- " <td>1.479813</td>\n",
- " <td>0.260031</td>\n",
- " <td>10.08</td>\n",
- " <td>41.0</td>\n",
- " <td>0.88</td>\n",
- " <td>5.4</td>\n",
- " <td>-1.9</td>\n",
- " <td>16.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>102</th>\n",
- " <td>0.054474</td>\n",
- " <td>0.361111</td>\n",
- " <td>12.951494</td>\n",
- " <td>8.146976</td>\n",
- " <td>2.856847</td>\n",
- " <td>1.400547</td>\n",
- " <td>1.615396</td>\n",
- " <td>1.023029</td>\n",
- " <td>9.18</td>\n",
- " <td>38.0</td>\n",
- " <td>-0.18</td>\n",
- " <td>7.5</td>\n",
- " <td>-3.4</td>\n",
- " <td>25.6</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "<p>103 rows × 14 columns</p>\n",
- "</div>"
- ],
- "text/plain": [
- " cases_growth death_growth Cardiovascular diseases (%) \\\n",
- "0 0.174179 0.083333 8.953006 \n",
- "1 0.068699 0.130051 27.016784 \n",
- "2 0.158588 0.228578 17.005476 \n",
- "3 0.082774 0.345238 13.784688 \n",
- "4 0.118696 0.191227 15.781373 \n",
- ".. ... ... ... \n",
- "98 0.169344 0.283333 11.278293 \n",
- "99 0.126304 0.159024 14.392087 \n",
- "100 0.067719 0.500000 15.424930 \n",
- "101 0.156740 0.166667 26.112204 \n",
- "102 0.054474 0.361111 12.951494 \n",
- "\n",
- " Diabetes, blood, & endocrine diseases (%) Respiratory diseases (%) \\\n",
- "0 5.273280 1.963170 \n",
- "1 4.571592 3.251425 \n",
- "2 8.614000 3.475417 \n",
- "3 4.381889 4.771667 \n",
- "4 6.642161 4.140331 \n",
- ".. ... ... \n",
- "98 8.792682 5.432858 \n",
- "99 4.287931 6.677914 \n",
- "100 5.935960 4.842926 \n",
- "101 6.080061 2.135775 \n",
- "102 8.146976 2.856847 \n",
- "\n",
- " Liver disease (%) HIV/AIDS and tuberculosis (%) \\\n",
- "0 0.498116 2.938014 \n",
- "1 1.122277 0.051632 \n",
- "2 0.926308 0.390351 \n",
- "3 1.561389 0.334845 \n",
- "4 1.655163 0.958667 \n",
- ".. ... ... \n",
- "98 0.708467 0.394354 \n",
- "99 1.441337 0.145590 \n",
- "100 1.155385 0.974250 \n",
- "101 4.155907 1.479813 \n",
- "102 1.400547 1.615396 \n",
- "\n",
- " Malaria & neglected tropical diseases (%) \\\n",
- "0 1.393345 \n",
- "1 0.019658 \n",
- "2 0.124510 \n",
- "3 0.002159 \n",
- "4 0.252262 \n",
- ".. ... \n",
- "98 0.028203 \n",
- "99 0.078985 \n",
- "100 0.043620 \n",
- "101 0.260031 \n",
- "102 1.023029 \n",
- "\n",
- " Share of deaths from smoking (%) alcoholic_beverages \\\n",
- "0 3.56 0.0 \n",
- "1 19.09 62.0 \n",
- "2 10.92 6.0 \n",
- "3 14.24 0.0 \n",
- "4 15.81 93.0 \n",
- ".. ... ... \n",
- "98 9.14 0.0 \n",
- "99 15.43 152.0 \n",
- "100 14.39 85.0 \n",
- "101 10.08 41.0 \n",
- "102 9.18 38.0 \n",
- "\n",
- " population growth rate death rate net migration rate \\\n",
- "0 2.38 12.7 -0.1 \n",
- "1 0.28 7.1 -3.3 \n",
- "2 1.52 4.4 -0.9 \n",
- "3 -0.06 7.7 0.0 \n",
- "4 0.86 7.4 -0.1 \n",
- ".. ... ... ... \n",
- "98 1.49 2.0 7.6 \n",
- "99 0.49 9.5 2.5 \n",
- "100 0.27 9.3 -0.9 \n",
- "101 0.88 5.4 -1.9 \n",
- "102 -0.18 7.5 -3.4 \n",
- "\n",
- " obesity - adult prevalence rate \n",
- "0 5.5 \n",
- "1 21.7 \n",
- "2 27.4 \n",
- "3 25.6 \n",
- "4 28.3 \n",
- ".. ... \n",
- "98 31.7 \n",
- "99 27.8 \n",
- "100 27.9 \n",
- "101 16.6 \n",
- "102 25.6 \n",
- "\n",
- "[103 rows x 14 columns]"
- ]
- },
- "execution_count": 29,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "NewDataframeName = NewDataframeName.drop('Country_Region', axis=1)\n",
- "NewDataframeName"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 30,
- "metadata": {
- "pycharm": {
- "name": "#%%\n"
- }
- },
- "outputs": [
- {
- "data": {
- "text/html": [
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- " }\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>cases_growth</th>\n",
- " <th>Cardiovascular diseases (%)</th>\n",
- " <th>Diabetes, blood, & endocrine diseases (%)</th>\n",
- " <th>Respiratory diseases (%)</th>\n",
- " <th>Liver disease (%)</th>\n",
- " <th>HIV/AIDS and tuberculosis (%)</th>\n",
- " <th>Malaria & neglected tropical diseases (%)</th>\n",
- " <th>Share of deaths from smoking (%)</th>\n",
- " <th>alcoholic_beverages</th>\n",
- " <th>population growth rate</th>\n",
- " <th>death rate</th>\n",
- " <th>net migration rate</th>\n",
- " <th>obesity - adult prevalence rate</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>0</th>\n",
- " <td>0.174179</td>\n",
- " <td>8.953006</td>\n",
- " <td>5.273280</td>\n",
- " <td>1.963170</td>\n",
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- " <td>3.56</td>\n",
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- " <td>-0.1</td>\n",
- " <td>5.5</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>1</th>\n",
- " <td>0.068699</td>\n",
- " <td>27.016784</td>\n",
- " <td>4.571592</td>\n",
- " <td>3.251425</td>\n",
- " <td>1.122277</td>\n",
- " <td>0.051632</td>\n",
- " <td>0.019658</td>\n",
- " <td>19.09</td>\n",
- " <td>62.0</td>\n",
- " <td>0.28</td>\n",
- " <td>7.1</td>\n",
- " <td>-3.3</td>\n",
- " <td>21.7</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2</th>\n",
- " <td>0.158588</td>\n",
- " <td>17.005476</td>\n",
- " <td>8.614000</td>\n",
- " <td>3.475417</td>\n",
- " <td>0.926308</td>\n",
- " <td>0.390351</td>\n",
- " <td>0.124510</td>\n",
- " <td>10.92</td>\n",
- " <td>6.0</td>\n",
- " <td>1.52</td>\n",
- " <td>4.4</td>\n",
- " <td>-0.9</td>\n",
- " <td>27.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>0.082774</td>\n",
- " <td>13.784688</td>\n",
- " <td>4.381889</td>\n",
- " <td>4.771667</td>\n",
- " <td>1.561389</td>\n",
- " <td>0.334845</td>\n",
- " <td>0.002159</td>\n",
- " <td>14.24</td>\n",
- " <td>0.0</td>\n",
- " <td>-0.06</td>\n",
- " <td>7.7</td>\n",
- " <td>0.0</td>\n",
- " <td>25.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>0.118696</td>\n",
- " <td>15.781373</td>\n",
- " <td>6.642161</td>\n",
- " <td>4.140331</td>\n",
- " <td>1.655163</td>\n",
- " <td>0.958667</td>\n",
- " <td>0.252262</td>\n",
- " <td>15.81</td>\n",
- " <td>93.0</td>\n",
- " <td>0.86</td>\n",
- " <td>7.4</td>\n",
- " <td>-0.1</td>\n",
- " <td>28.3</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",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>98</th>\n",
- " <td>0.169344</td>\n",
- " <td>11.278293</td>\n",
- " <td>8.792682</td>\n",
- " <td>5.432858</td>\n",
- " <td>0.708467</td>\n",
- " <td>0.394354</td>\n",
- " <td>0.028203</td>\n",
- " <td>9.14</td>\n",
- " <td>0.0</td>\n",
- " <td>1.49</td>\n",
- " <td>2.0</td>\n",
- " <td>7.6</td>\n",
- " <td>31.7</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>99</th>\n",
- " <td>0.126304</td>\n",
- " <td>14.392087</td>\n",
- " <td>4.287931</td>\n",
- " <td>6.677914</td>\n",
- " <td>1.441337</td>\n",
- " <td>0.145590</td>\n",
- " <td>0.078985</td>\n",
- " <td>15.43</td>\n",
- " <td>152.0</td>\n",
- " <td>0.49</td>\n",
- " <td>9.5</td>\n",
- " <td>2.5</td>\n",
- " <td>27.8</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>100</th>\n",
- " <td>0.067719</td>\n",
- " <td>15.424930</td>\n",
- " <td>5.935960</td>\n",
- " <td>4.842926</td>\n",
- " <td>1.155385</td>\n",
- " <td>0.974250</td>\n",
- " <td>0.043620</td>\n",
- " <td>14.39</td>\n",
- " <td>85.0</td>\n",
- " <td>0.27</td>\n",
- " <td>9.3</td>\n",
- " <td>-0.9</td>\n",
- " <td>27.9</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>101</th>\n",
- " <td>0.156740</td>\n",
- " <td>26.112204</td>\n",
- " <td>6.080061</td>\n",
- " <td>2.135775</td>\n",
- " <td>4.155907</td>\n",
- " <td>1.479813</td>\n",
- " <td>0.260031</td>\n",
- " <td>10.08</td>\n",
- " <td>41.0</td>\n",
- " <td>0.88</td>\n",
- " <td>5.4</td>\n",
- " <td>-1.9</td>\n",
- " <td>16.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>102</th>\n",
- " <td>0.054474</td>\n",
- " <td>12.951494</td>\n",
- " <td>8.146976</td>\n",
- " <td>2.856847</td>\n",
- " <td>1.400547</td>\n",
- " <td>1.615396</td>\n",
- " <td>1.023029</td>\n",
- " <td>9.18</td>\n",
- " <td>38.0</td>\n",
- " <td>-0.18</td>\n",
- " <td>7.5</td>\n",
- " <td>-3.4</td>\n",
- " <td>25.6</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "<p>103 rows × 13 columns</p>\n",
- "</div>"
- ],
- "text/plain": [
- " cases_growth Cardiovascular diseases (%) \\\n",
- "0 0.174179 8.953006 \n",
- "1 0.068699 27.016784 \n",
- "2 0.158588 17.005476 \n",
- "3 0.082774 13.784688 \n",
- "4 0.118696 15.781373 \n",
- ".. ... ... \n",
- "98 0.169344 11.278293 \n",
- "99 0.126304 14.392087 \n",
- "100 0.067719 15.424930 \n",
- "101 0.156740 26.112204 \n",
- "102 0.054474 12.951494 \n",
- "\n",
- " Diabetes, blood, & endocrine diseases (%) Respiratory diseases (%) \\\n",
- "0 5.273280 1.963170 \n",
- "1 4.571592 3.251425 \n",
- "2 8.614000 3.475417 \n",
- "3 4.381889 4.771667 \n",
- "4 6.642161 4.140331 \n",
- ".. ... ... \n",
- "98 8.792682 5.432858 \n",
- "99 4.287931 6.677914 \n",
- "100 5.935960 4.842926 \n",
- "101 6.080061 2.135775 \n",
- "102 8.146976 2.856847 \n",
- "\n",
- " Liver disease (%) HIV/AIDS and tuberculosis (%) \\\n",
- "0 0.498116 2.938014 \n",
- "1 1.122277 0.051632 \n",
- "2 0.926308 0.390351 \n",
- "3 1.561389 0.334845 \n",
- "4 1.655163 0.958667 \n",
- ".. ... ... \n",
- "98 0.708467 0.394354 \n",
- "99 1.441337 0.145590 \n",
- "100 1.155385 0.974250 \n",
- "101 4.155907 1.479813 \n",
- "102 1.400547 1.615396 \n",
- "\n",
- " Malaria & neglected tropical diseases (%) \\\n",
- "0 1.393345 \n",
- "1 0.019658 \n",
- "2 0.124510 \n",
- "3 0.002159 \n",
- "4 0.252262 \n",
- ".. ... \n",
- "98 0.028203 \n",
- "99 0.078985 \n",
- "100 0.043620 \n",
- "101 0.260031 \n",
- "102 1.023029 \n",
- "\n",
- " Share of deaths from smoking (%) alcoholic_beverages \\\n",
- "0 3.56 0.0 \n",
- "1 19.09 62.0 \n",
- "2 10.92 6.0 \n",
- "3 14.24 0.0 \n",
- "4 15.81 93.0 \n",
- ".. ... ... \n",
- "98 9.14 0.0 \n",
- "99 15.43 152.0 \n",
- "100 14.39 85.0 \n",
- "101 10.08 41.0 \n",
- "102 9.18 38.0 \n",
- "\n",
- " population growth rate death rate net migration rate \\\n",
- "0 2.38 12.7 -0.1 \n",
- "1 0.28 7.1 -3.3 \n",
- "2 1.52 4.4 -0.9 \n",
- "3 -0.06 7.7 0.0 \n",
- "4 0.86 7.4 -0.1 \n",
- ".. ... ... ... \n",
- "98 1.49 2.0 7.6 \n",
- "99 0.49 9.5 2.5 \n",
- "100 0.27 9.3 -0.9 \n",
- "101 0.88 5.4 -1.9 \n",
- "102 -0.18 7.5 -3.4 \n",
- "\n",
- " obesity - adult prevalence rate \n",
- "0 5.5 \n",
- "1 21.7 \n",
- "2 27.4 \n",
- "3 25.6 \n",
- "4 28.3 \n",
- ".. ... \n",
- "98 31.7 \n",
- "99 27.8 \n",
- "100 27.9 \n",
- "101 16.6 \n",
- "102 25.6 \n",
- "\n",
- "[103 rows x 13 columns]"
- ]
- },
- "execution_count": 30,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "vif_test = NewDataframeName.drop(\"death_growth\", axis=1)\n",
- "vif_test"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 31,
- "metadata": {
- "pycharm": {
- "name": "#%%\n"
- }
- },
- "outputs": [],
- "source": [
- "vif_data = pd.DataFrame()\n",
- "vif_data[\"feature\"] = vif_test.columns"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 32,
- "metadata": {
- "pycharm": {
- "name": "#%%\n"
- }
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- " feature VIF\n",
- "0 cases_growth 5.537001\n",
- "1 Cardiovascular diseases (%) 21.135935\n",
- "2 Diabetes, blood, & endocrine diseases (%) 6.832133\n",
- "3 Respiratory diseases (%) 16.065844\n",
- "4 Liver disease (%) 5.457675\n",
- "5 HIV/AIDS and tuberculosis (%) 1.517821\n",
- "6 Malaria & neglected tropical diseases (%) 3.612365\n",
- "7 Share of deaths from smoking (%) 26.716912\n",
- "8 alcoholic_beverages 4.793039\n",
- "9 population growth rate 7.851412\n",
- "10 death rate 19.033538\n",
- "11 net migration rate 3.814046\n",
- "12 obesity - adult prevalence rate 7.947916\n"
- ]
- }
- ],
- "source": [
- "vif_data[\"VIF\"] =[variance_inflation_factor(vif_test.values, i) for i in range(len(vif_test.columns))]\n",
- "print(vif_data)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 33,
- "metadata": {
- "pycharm": {
- "name": "#%%\n"
- }
- },
- "outputs": [
- {
- "data": {
- "text/html": [
- "<div>\n",
- "<style scoped>\n",
- " .dataframe tbody tr th:only-of-type {\n",
- " vertical-align: middle;\n",
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- " }\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>cases_growth</th>\n",
- " <th>death_growth</th>\n",
- " <th>Diabetes, blood, & endocrine diseases (%)</th>\n",
- " <th>Liver disease (%)</th>\n",
- " <th>HIV/AIDS and tuberculosis (%)</th>\n",
- " <th>Malaria & neglected tropical diseases (%)</th>\n",
- " <th>alcoholic_beverages</th>\n",
- " <th>population growth rate</th>\n",
- " <th>net migration rate</th>\n",
- " <th>obesity - adult prevalence rate</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>0</th>\n",
- " <td>0.174179</td>\n",
- " <td>0.083333</td>\n",
- " <td>5.273280</td>\n",
- " <td>0.498116</td>\n",
- " <td>2.938014</td>\n",
- " <td>1.393345</td>\n",
- " <td>0.0</td>\n",
- " <td>2.38</td>\n",
- " <td>-0.1</td>\n",
- " <td>5.5</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>1</th>\n",
- " <td>0.068699</td>\n",
- " <td>0.130051</td>\n",
- " <td>4.571592</td>\n",
- " <td>1.122277</td>\n",
- " <td>0.051632</td>\n",
- " <td>0.019658</td>\n",
- " <td>62.0</td>\n",
- " <td>0.28</td>\n",
- " <td>-3.3</td>\n",
- " <td>21.7</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2</th>\n",
- " <td>0.158588</td>\n",
- " <td>0.228578</td>\n",
- " <td>8.614000</td>\n",
- " <td>0.926308</td>\n",
- " <td>0.390351</td>\n",
- " <td>0.124510</td>\n",
- " <td>6.0</td>\n",
- " <td>1.52</td>\n",
- " <td>-0.9</td>\n",
- " <td>27.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>0.082774</td>\n",
- " <td>0.345238</td>\n",
- " <td>4.381889</td>\n",
- " <td>1.561389</td>\n",
- " <td>0.334845</td>\n",
- " <td>0.002159</td>\n",
- " <td>0.0</td>\n",
- " <td>-0.06</td>\n",
- " <td>0.0</td>\n",
- " <td>25.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>0.118696</td>\n",
- " <td>0.191227</td>\n",
- " <td>6.642161</td>\n",
- " <td>1.655163</td>\n",
- " <td>0.958667</td>\n",
- " <td>0.252262</td>\n",
- " <td>93.0</td>\n",
- " <td>0.86</td>\n",
- " <td>-0.1</td>\n",
- " <td>28.3</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",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>98</th>\n",
- " <td>0.169344</td>\n",
- " <td>0.283333</td>\n",
- " <td>8.792682</td>\n",
- " <td>0.708467</td>\n",
- " <td>0.394354</td>\n",
- " <td>0.028203</td>\n",
- " <td>0.0</td>\n",
- " <td>1.49</td>\n",
- " <td>7.6</td>\n",
- " <td>31.7</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>99</th>\n",
- " <td>0.126304</td>\n",
- " <td>0.159024</td>\n",
- " <td>4.287931</td>\n",
- " <td>1.441337</td>\n",
- " <td>0.145590</td>\n",
- " <td>0.078985</td>\n",
- " <td>152.0</td>\n",
- " <td>0.49</td>\n",
- " <td>2.5</td>\n",
- " <td>27.8</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>100</th>\n",
- " <td>0.067719</td>\n",
- " <td>0.500000</td>\n",
- " <td>5.935960</td>\n",
- " <td>1.155385</td>\n",
- " <td>0.974250</td>\n",
- " <td>0.043620</td>\n",
- " <td>85.0</td>\n",
- " <td>0.27</td>\n",
- " <td>-0.9</td>\n",
- " <td>27.9</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>101</th>\n",
- " <td>0.156740</td>\n",
- " <td>0.166667</td>\n",
- " <td>6.080061</td>\n",
- " <td>4.155907</td>\n",
- " <td>1.479813</td>\n",
- " <td>0.260031</td>\n",
- " <td>41.0</td>\n",
- " <td>0.88</td>\n",
- " <td>-1.9</td>\n",
- " <td>16.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>102</th>\n",
- " <td>0.054474</td>\n",
- " <td>0.361111</td>\n",
- " <td>8.146976</td>\n",
- " <td>1.400547</td>\n",
- " <td>1.615396</td>\n",
- " <td>1.023029</td>\n",
- " <td>38.0</td>\n",
- " <td>-0.18</td>\n",
- " <td>-3.4</td>\n",
- " <td>25.6</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "<p>103 rows × 10 columns</p>\n",
- "</div>"
- ],
- "text/plain": [
- " cases_growth death_growth Diabetes, blood, & endocrine diseases (%) \\\n",
- "0 0.174179 0.083333 5.273280 \n",
- "1 0.068699 0.130051 4.571592 \n",
- "2 0.158588 0.228578 8.614000 \n",
- "3 0.082774 0.345238 4.381889 \n",
- "4 0.118696 0.191227 6.642161 \n",
- ".. ... ... ... \n",
- "98 0.169344 0.283333 8.792682 \n",
- "99 0.126304 0.159024 4.287931 \n",
- "100 0.067719 0.500000 5.935960 \n",
- "101 0.156740 0.166667 6.080061 \n",
- "102 0.054474 0.361111 8.146976 \n",
- "\n",
- " Liver disease (%) HIV/AIDS and tuberculosis (%) \\\n",
- "0 0.498116 2.938014 \n",
- "1 1.122277 0.051632 \n",
- "2 0.926308 0.390351 \n",
- "3 1.561389 0.334845 \n",
- "4 1.655163 0.958667 \n",
- ".. ... ... \n",
- "98 0.708467 0.394354 \n",
- "99 1.441337 0.145590 \n",
- "100 1.155385 0.974250 \n",
- "101 4.155907 1.479813 \n",
- "102 1.400547 1.615396 \n",
- "\n",
- " Malaria & neglected tropical diseases (%) alcoholic_beverages \\\n",
- "0 1.393345 0.0 \n",
- "1 0.019658 62.0 \n",
- "2 0.124510 6.0 \n",
- "3 0.002159 0.0 \n",
- "4 0.252262 93.0 \n",
- ".. ... ... \n",
- "98 0.028203 0.0 \n",
- "99 0.078985 152.0 \n",
- "100 0.043620 85.0 \n",
- "101 0.260031 41.0 \n",
- "102 1.023029 38.0 \n",
- "\n",
- " population growth rate net migration rate \\\n",
- "0 2.38 -0.1 \n",
- "1 0.28 -3.3 \n",
- "2 1.52 -0.9 \n",
- "3 -0.06 0.0 \n",
- "4 0.86 -0.1 \n",
- ".. ... ... \n",
- "98 1.49 7.6 \n",
- "99 0.49 2.5 \n",
- "100 0.27 -0.9 \n",
- "101 0.88 -1.9 \n",
- "102 -0.18 -3.4 \n",
- "\n",
- " obesity - adult prevalence rate \n",
- "0 5.5 \n",
- "1 21.7 \n",
- "2 27.4 \n",
- "3 25.6 \n",
- "4 28.3 \n",
- ".. ... \n",
- "98 31.7 \n",
- "99 27.8 \n",
- "100 27.9 \n",
- "101 16.6 \n",
- "102 25.6 \n",
- "\n",
- "[103 rows x 10 columns]"
- ]
- },
- "execution_count": 33,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "data_no_multicollinearity = NewDataframeName.drop(['Cardiovascular diseases (%)'], axis=1)\n",
- "data_no_multicollinearity = data_no_multicollinearity.drop(['Respiratory diseases (%)'], axis=1)\n",
- "data_no_multicollinearity = data_no_multicollinearity.drop(['Share of deaths from smoking (%)'], axis=1)\n",
- "data_no_multicollinearity = data_no_multicollinearity.drop(['death rate'], axis=1)\n",
- "data_no_multicollinearity"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 34,
- "metadata": {
- "pycharm": {
- "name": "#%%\n"
- }
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "<class 'pandas.core.frame.DataFrame'>\n",
- "RangeIndex: 103 entries, 0 to 102\n",
- "Data columns (total 9 columns):\n",
- " # Column Non-Null Count Dtype \n",
- "--- ------ -------------- ----- \n",
- " 0 cases_growth 103 non-null float64\n",
- " 1 Diabetes, blood, & endocrine diseases (%) 103 non-null float64\n",
- " 2 Liver disease (%) 103 non-null float64\n",
- " 3 HIV/AIDS and tuberculosis (%) 103 non-null float64\n",
- " 4 Malaria & neglected tropical diseases (%) 103 non-null float64\n",
- " 5 alcoholic_beverages 103 non-null float64\n",
- " 6 population growth rate 103 non-null float64\n",
- " 7 net migration rate 103 non-null float64\n",
- " 8 obesity - adult prevalence rate 103 non-null float64\n",
- "dtypes: float64(9)\n",
- "memory usage: 7.4 KB\n"
- ]
- }
- ],
- "source": [
- "vif_test = data_no_multicollinearity.drop(\"death_growth\", axis=1)\n",
- "vif_test.info()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 35,
- "metadata": {
- "pycharm": {
- "name": "#%%\n"
- }
- },
- "outputs": [],
- "source": [
- "vif_data = pd.DataFrame()\n",
- "vif_data[\"feature\"] = vif_test.columns"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 36,
- "metadata": {
- "pycharm": {
- "name": "#%%\n"
- }
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- " feature VIF\n",
- "0 cases_growth 4.867332\n",
- "1 Diabetes, blood, & endocrine diseases (%) 5.298581\n",
- "2 Liver disease (%) 3.894135\n",
- "3 HIV/AIDS and tuberculosis (%) 1.385670\n",
- "4 Malaria & neglected tropical diseases (%) 2.772384\n",
- "5 alcoholic_beverages 3.211306\n",
- "6 population growth rate 6.532635\n",
- "7 net migration rate 3.525862\n",
- "8 obesity - adult prevalence rate 6.698736\n"
- ]
- }
- ],
- "source": [
- "vif_data[\"VIF\"] =[variance_inflation_factor(vif_test.values, i) for i in range(len(vif_test.columns))]\n",
- "print(vif_data)"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "<a id=\"cell2\"></a>\n",
- "# 4. Data preparation\n",
- "In this section, the dataset will be prepared for machine learning.\n",
- "\n",
- "<a id=\"cell2.1\"></a>\n",
- "## 4.1 Feature Engineering\n",
- "In this section, feature engineering is performed. Here, important information is extracted from the raw data.\n",
- "\n"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 37,
- "metadata": {
- "pycharm": {
- "name": "#%%\n"
- }
- },
- "outputs": [],
- "source": [
- "data_no_multicollinearity.to_csv('train_dummies.csv', index = False)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 38,
- "metadata": {
- "pycharm": {
- "name": "#%%\n"
- }
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "0 0.0\n",
- "1 62.0\n",
- "2 6.0\n",
- "3 0.0\n",
- "4 93.0\n",
- " ... \n",
- "98 0.0\n",
- "99 152.0\n",
- "100 85.0\n",
- "101 41.0\n",
- "102 38.0\n",
- "Name: alcoholic_beverages, Length: 103, dtype: float64"
- ]
- },
- "execution_count": 38,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "targets = data_no_multicollinearity['alcoholic_beverages']\n",
- "inputs = data_no_multicollinearity.drop(['alcoholic_beverages'], axis=1)\n",
- "targets"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 39,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "<class 'pandas.core.frame.DataFrame'>\n",
- "RangeIndex: 103 entries, 0 to 102\n",
- "Data columns (total 9 columns):\n",
- " # Column Non-Null Count Dtype \n",
- "--- ------ -------------- ----- \n",
- " 0 cases_growth 103 non-null float64\n",
- " 1 death_growth 103 non-null float64\n",
- " 2 Diabetes, blood, & endocrine diseases (%) 103 non-null float64\n",
- " 3 Liver disease (%) 103 non-null float64\n",
- " 4 HIV/AIDS and tuberculosis (%) 103 non-null float64\n",
- " 5 Malaria & neglected tropical diseases (%) 103 non-null float64\n",
- " 6 population growth rate 103 non-null float64\n",
- " 7 net migration rate 103 non-null float64\n",
- " 8 obesity - adult prevalence rate 103 non-null float64\n",
- "dtypes: float64(9)\n",
- "memory usage: 7.4 KB\n"
- ]
- }
- ],
- "source": [
- "y = inputs['Liver disease (%)']\n",
- "inputs.info()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 40,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "image/png": 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",
- "text/plain": [
- "<Figure size 432x288 with 1 Axes>"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- }
- ],
- "source": [
- "plt.scatter(targets, y)\n",
- "plt.xlabel('Alcohol')\n",
- "plt.ylabel('Liver disease')\n",
- "plt.show()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 41,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "<table class=\"simpletable\">\n",
- "<caption>OLS Regression Results</caption>\n",
- "<tr>\n",
- " <th>Dep. Variable:</th> <td>Liver disease (%)</td> <th> R-squared: </th> <td> 0.040</td>\n",
- "</tr>\n",
- "<tr>\n",
- " <th>Model:</th> <td>OLS</td> <th> Adj. R-squared: </th> <td> 0.030</td>\n",
- "</tr>\n",
- "<tr>\n",
- " <th>Method:</th> <td>Least Squares</td> <th> F-statistic: </th> <td> 4.164</td>\n",
- "</tr>\n",
- "<tr>\n",
- " <th>Date:</th> <td>Tue, 04 Jan 2022</td> <th> Prob (F-statistic):</th> <td>0.0439</td> \n",
- "</tr>\n",
- "<tr>\n",
- " <th>Time:</th> <td>21:01:11</td> <th> Log-Likelihood: </th> <td> -145.07</td>\n",
- "</tr>\n",
- "<tr>\n",
- " <th>No. Observations:</th> <td> 103</td> <th> AIC: </th> <td> 294.1</td>\n",
- "</tr>\n",
- "<tr>\n",
- " <th>Df Residuals:</th> <td> 101</td> <th> BIC: </th> <td> 299.4</td>\n",
- "</tr>\n",
- "<tr>\n",
- " <th>Df Model:</th> <td> 1</td> <th> </th> <td> </td> \n",
- "</tr>\n",
- "<tr>\n",
- " <th>Covariance Type:</th> <td>nonrobust</td> <th> </th> <td> </td> \n",
- "</tr>\n",
- "</table>\n",
- "<table class=\"simpletable\">\n",
- "<tr>\n",
- " <td></td> <th>coef</th> <th>std err</th> <th>t</th> <th>P>|t|</th> <th>[0.025</th> <th>0.975]</th> \n",
- "</tr>\n",
- "<tr>\n",
- " <th>const</th> <td> 1.4390</td> <td> 0.148</td> <td> 9.742</td> <td> 0.000</td> <td> 1.146</td> <td> 1.732</td>\n",
- "</tr>\n",
- "<tr>\n",
- " <th>alcoholic_beverages</th> <td> 0.0025</td> <td> 0.001</td> <td> 2.041</td> <td> 0.044</td> <td> 7.04e-05</td> <td> 0.005</td>\n",
- "</tr>\n",
- "</table>\n",
- "<table class=\"simpletable\">\n",
- "<tr>\n",
- " <th>Omnibus:</th> <td>47.898</td> <th> Durbin-Watson: </th> <td> 1.732</td>\n",
- "</tr>\n",
- "<tr>\n",
- " <th>Prob(Omnibus):</th> <td> 0.000</td> <th> Jarque-Bera (JB): </th> <td> 122.325</td>\n",
- "</tr>\n",
- "<tr>\n",
- " <th>Skew:</th> <td> 1.758</td> <th> Prob(JB): </th> <td>2.74e-27</td>\n",
- "</tr>\n",
- "<tr>\n",
- " <th>Kurtosis:</th> <td> 7.017</td> <th> Cond. No. </th> <td> 179.</td>\n",
- "</tr>\n",
- "</table><br/><br/>Notes:<br/>[1] Standard Errors assume that the covariance matrix of the errors is correctly specified."
- ],
- "text/plain": [
- "<class 'statsmodels.iolib.summary.Summary'>\n",
- "\"\"\"\n",
- " OLS Regression Results \n",
- "==============================================================================\n",
- "Dep. Variable: Liver disease (%) R-squared: 0.040\n",
- "Model: OLS Adj. R-squared: 0.030\n",
- "Method: Least Squares F-statistic: 4.164\n",
- "Date: Tue, 04 Jan 2022 Prob (F-statistic): 0.0439\n",
- "Time: 21:01:11 Log-Likelihood: -145.07\n",
- "No. Observations: 103 AIC: 294.1\n",
- "Df Residuals: 101 BIC: 299.4\n",
- "Df Model: 1 \n",
- "Covariance Type: nonrobust \n",
- "=======================================================================================\n",
- " coef std err t P>|t| [0.025 0.975]\n",
- "---------------------------------------------------------------------------------------\n",
- "const 1.4390 0.148 9.742 0.000 1.146 1.732\n",
- "alcoholic_beverages 0.0025 0.001 2.041 0.044 7.04e-05 0.005\n",
- "==============================================================================\n",
- "Omnibus: 47.898 Durbin-Watson: 1.732\n",
- "Prob(Omnibus): 0.000 Jarque-Bera (JB): 122.325\n",
- "Skew: 1.758 Prob(JB): 2.74e-27\n",
- "Kurtosis: 7.017 Cond. No. 179.\n",
- "==============================================================================\n",
- "\n",
- "Notes:\n",
- "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
- "\"\"\""
- ]
- },
- "execution_count": 41,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "x = sm.add_constant(targets)\n",
- "result = sm.OLS(y, x).fit()\n",
- "result.summary()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 42,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "image/png": 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",
- "text/plain": [
- "<Figure size 432x288 with 1 Axes>"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- }
- ],
- "source": [
- "plt.scatter(targets, y)\n",
- "yhat = 0.0025*targets + 1.4390\n",
- "fig = plt.plot(targets, yhat, c='orange', label='reression line')\n",
- "plt.xlabel('Alcohol')\n",
- "plt.ylabel('Liver disease')\n",
- "plt.show()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 43,
- "metadata": {
- "pycharm": {
- "name": "#%%\n"
- }
- },
- "outputs": [],
- "source": [
- "from sklearn.preprocessing import StandardScaler\n",
- "scaler = StandardScaler()\n",
- "scaler.fit(inputs)\n",
- "inputs_scaled = scaler.transform(inputs)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 44,
- "metadata": {
- "pycharm": {
- "name": "#%%\n"
- }
- },
- "outputs": [],
- "source": [
- "from sklearn.model_selection import train_test_split\n",
- "x_train, x_test, y_train, y_test = train_test_split(inputs_scaled, targets, test_size=0.2, random_state=365)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 45,
- "metadata": {
- "pycharm": {
- "name": "#%%\n"
- }
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "0.0 11\n",
- "38.0 2\n",
- "91.0 2\n",
- "2.0 2\n",
- "48.0 2\n",
- " ..\n",
- "81.0 1\n",
- "159.0 1\n",
- "86.0 1\n",
- "12.0 1\n",
- "143.0 1\n",
- "Name: alcoholic_beverages, Length: 63, dtype: int64"
- ]
- },
- "execution_count": 45,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "y_train.value_counts()"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "<a id=\"cell3.1\"></a>\n",
- "## 5 Logistic regression"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 46,
- "metadata": {
- "pycharm": {
- "name": "#%%\n"
- }
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "LinearRegression()"
- ]
- },
- "execution_count": 46,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "reg = LinearRegression()\n",
- "reg.fit(x_train,y_train)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 47,
- "metadata": {
- "pycharm": {
- "name": "#%%\n"
- }
- },
- "outputs": [],
- "source": [
- "y_hat = reg.predict(x_train)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 48,
- "metadata": {
- "pycharm": {
- "name": "#%%\n"
- }
- },
- "outputs": [
- {
- "data": {
- "image/png": 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mWLKKJTTQB4ve7YivPuyO2s6OKKkwa59c2wEqlkTKK5t1lnfEpmHVnu2xaMli7ty5Oo/v378PtVqtfezt7Y2srKxK29VqNbKyskw6lpdX9Uebq9U1u/O1BkMxqz1cka1nyUq1h6ukn/OhgYtC2Xa5neO+Xd3Qt2sLjJhzoNL5Kiwuxc7j19G3awsrRWc6a5/f6vzurB2zqewtXqs2cGs0GqhUf0zWIwgCVCqVwe2myMnJg0ajZz5qI5Q4WreqmPt3aqq3sbd/p6aSfk5PAw3enr/fvcv1HOu7wJVtl2vMFcnhN2zq704OMZvCFuN1cFBVeZMtqhpq3bp1uH//vtH9xo0bBw8PDzFvCQDw8fFBdna29nF2dja8vb0rbX/w4IG26opMY611n6WeFFAqbOw2D643bntElSySkpKwaNEiBAcHIyoqChEREWjQoEGl/YYPH27SwV977TVcv34dN2/eRKNGjbB37178x3/8B3x9feHi4oLU1FQEBwdj165d6NKli0nvTX+wxuBBpY5wN2VlP6qakgetUmWiksXWrVuRkZGB5ORkbN26FX//+9/RsWNHREZGokePHqhTp061Du7i4oIFCxZg7NixKCwsRFhYGHr16gUAWLx4MWbMmIG8vDwEBgYiPj6+Wscg61HixYKzzhLppxLKlr0zwZ07d7Bt2zasX78eKpUK3bp1w6BBgxASEiJFjNXCNgt50Dcwq2/XFrKNVx85n199lBYvoLyYbTFeY20WJjVwZ2RkICkpCfv378eFCxfw+uuvIzIyEvfv38f48ePRr18/TJ061ZS3JBtUPkGUVzbWor5bbd6pEymMqGSxZs0aJCUl4fz582jdujWioqKwatUqne6tvr6+mD17NpOFnas4KV9FRSUabEhKwz9G2+e67URKJSpZfPvtt4iMjMSSJUvQuHFjvfv86U9/wqxZs8waHCmPvpG7FT0w0D2ViOTLYLIoKiqCs7MzAGDfvn1G36hly5Z4+eWXzRYYKZOYEboNPVwtEAkRmZPBcRZ/+ctfsG3bNhQVFRl9k2fPnmHz5s2IiYkxa3CkPMbGIzg7OiC+dysLRUNE5mKwZLFu3Tp88sknWLRoEUJDQ9GxY0c0a9YMHh4eEAQBjx49wqVLl3Dq1CkcP34cPXv2xNq1ay0ZO8mQoUn5AGh7Q3UN9lNUTxIiqiJZeHh4YM6cOXjvvfeQmJiIrVu34uLFiygtLX3+QkdHBAQEoEuXLkhISICvr6/Fgib5UupgPCKqmtEG7hdffBHjxo3DuHHjoNFo8PjxYwCAp6en1LGRQilxMB4RVc2kcRYODg5MEkREdsjiK+UREZHyMFkQEZFRTBZERGSU6GRx/fp1PHnyvLvjyZMnMXv2bHz77beSBUZERPIhqoF7x44dmDlzJr766is0aNAA//Vf/4Xg4GDs378f9+7dw5gxY6SOU3Jlk989zC2EJ7t7EhHpEFWy+J//+R/MmTMHf/7zn/Hdd9+hefPmWLt2LZYsWYJt27ZJHaPkyia/y8kthIDnU1Z8uecC3l96DCnnM60dHhGR1YlKFvfu3dOuVXH48GF0794dANCoUSP89ttv0kVnIYYmv8vLL8H6pItMGERk90QlCz8/P5w4cQLHjh3DrVu30KNHDwDAzp070axZM0kDtISqJr8rKtFgx9F0C0ZDRCQ/otosxo4di0mTJqG0tBTR0dFo1aoVFixYgK1bt2LFihVSxyg5r/ouVSYMMTOpEhHZMlHJolevXnjjjTeQlZWFVq2ezxg6aNAgjBo1Cg0bNpQ0QEto4++Fw6fvGnze2EyqRES2TvR0Hx4eHigqKsLt27cBAE5OTsjPz8ft27fh5+cnWYCWcDY9x+Bzzo4OGBjmb8FolEPf+trsQUZkm0Qli6NHj2LmzJnIzs7W2S4IAlQqFdLS0iQJzlKqqmYa1juAF0A9Ki6fWra+NgCeLyIbJCpZLF68GEFBQXj33XdRr149qWOyOENtFl71XRR/4ZPq7l9fD7KyzgBKP2dEVJmoZHH79m0sXbrUJno+6aNvwR5zVT9Zs6pGyrt/Q6UxdgYgsk2ius62b98eZ8+elToWqwkN9MGw3gHwqu8CFZ6XKMxR/VR+sB/wx8XaUuM2qrr7rylDjf7sDEBkm0SVLNq1a4fZs2fj0KFDaNy4MZycnHSeHzdunCTBWVLZgj1qtZvZlvy0ZFWNvhKMlHf/UpbGiEh+RCWLlJQUtG7dGo8ePcKjR490nlOpVJIEJlemVCtZqqrmSOptvdVN9VwdkZdfUml/c9z9c/lUIvsiKlls3LhR6jgUwdQ2gKoazs1pQ1Ka3hKMk6MKzo4Okt39c/lUIvsheoryc+fOYfz48YiOjkZkZCTGjBmDlJQUKWOTHVPbAAaG+cPZUfcUS1FV8+BRvt7tTwtKtW0xgPnaYojI/ogqWSQnJ2PSpEkIDw/HoEGDUFpaitOnT+Odd97BZ599hjfffFPqOCUnZopyU6uVTK2qqW7PqYYersjWkzDKuv4yORBRTYlKFsuXL8ekSZMwfPhw7bbhw4dj3bp1WL58ueKThdjqpepUKxm7WJdPEOWZ0s01vncrLE/8lY3NRCQZUdVQd+7cQbdu3Spt79atG65fv272oCxNbPWSuauVKnatrUhsN9euwX6sbiIiSYkqWfj7++PYsWOIi4vT2X7kyBE0atRIksAsSWz1kqFqJQBIWHXC5OojQ+toiImtIqmrmzgPFJF9Ez1F+dixY3H69Gm0adMGAHD27FkcOHAAn3zyiaQBWoKDCtAI+rdXVPGiXJNR0mISgb4qrooX7uFRgQhs7G70vapL7GdkQiGyXaKqobp164Yvv/wSxcXFSExMxK5du6BSqbBlyxZERERIHaPk9CWKqraXV5NR0sa60Oqr4tI3KnzFtjOSjgoX8xmtPVqdiKQleory0NBQhIaGShmL1dRkPERNBt7pGwVd/tj67sz1XbgLi0slncBPzGfkxIJEts1gspg8eTL+9re/oV69epg8eXKVb7Jw4UKzB2ZJNZm6oiaJpjqjoK0xgZ+Yz8iJBYlsm8FqqFq1aun8v6p/NRUXF4fIyEj069cP/fr1w5kzZ3Dy5ElER0cjPDwcn376aY2PUZWaTCRY0x5SoYE+WPRuR7wT/ScAwJd7LiBh1QmD1TfWmMBPzGfkxIJEts1gyWL+/Pna/w8cOBBt27atNIFgUVERjh07VqMABEHAjRs3cPjwYTg6Pg+noKAAvXr1wsaNG/Hiiy9i9OjROHr0KMLCwmp0rKqYOpFg+cbceq6OcHJU4WlBabUadk1pJNdXCnJxqiXpmAoxJSBOLEhk26pss9BoNBAEAfHx8Th27Bi8vLx0nr906RI++OCDGk1ffu3aNQDAiBEj8PjxYwwaNAgtW7ZEkyZNtMu1RkdHIzk5WdJkIWYEd5mN+y/qrNmdl18CZ0cHvBP9p2rVz5tS36/vwi11b6iy41b12TixIJFtM5gstmzZgo8++ggqlQqCIKBLly569+vYsWONAsjNzUVoaChmzpyJ4uJixMfHY9SoUVCr1dp9vL29kZWVVaPjVMWUO/uU85k6iaJMTRpzqzONSPnjmHNa9Zrg1CJEtstgsoiNjYW/vz80Gg2GDRuGZcuWoUGDBtrnVSoV6tSpg5YtW9YogKCgIAQFBWkfx8TEYNmyZQgODtZuK1vr2xReXuKXf915PEXvnf3O49fRt2uLSvsa8jC3EGq1m0lxAoDawNxOag9X0e9XneNaE+OVltLiBZQXs73FW2U11Ouvvw4A+OGHH9CgQQPk5eXBx+f5nePx48fRqlWrSu0Ypjp16hSKi4u13XIFQYCvry+ys7O1+2RnZ8Pb29uk983JyYNGzEAJQO+Fumx7xTt2Q/sCgGd9l2rd4ffv1FRvF9pn+UXYfeSK0bt1uZQsxGK80lJavIDyYrbFeB0cVFXeZIsalJednY0ePXpg06ZN2m3z589Hr169kJaWJjJc/Z48eYKFCxeisLAQeXl5+O677/DBBx/g+vXruHnzJkpLS7F3716D1WDmYEpPnqp691S3MbesN1Y9V93c/bSglAPbiEgWVIIgGL39HjRoEN544w1MnDhRpzpo0aJFOH36NL7++usaBfHZZ59h//790Gg0GDJkCIYNG4aUlBTMnz8fhYWFCAsLw9SpU02qijKlZFGxzQJ43pNnWO8AALqNtm38vXDiXGalUkC3oJcQFxEgOj59yuaXqqieqyNcnGoZbDi2xbscOWG80lNazLYYr7GShahk0bZtW+zZs0fbO6nMrVu30LdvX/z666/iIrYgU5IFoL83FAC9SaTjqz44m55j9l4/IxYcErVfWSIrO6Yt/nDlhPFKT2kx22K8xpKFqOk+GjVqhBMnTiA2NlZn+08//aTTa0nJ9I2zSFh1Qm/D99n0HCx6t2a9wPQxNFK6Ik6jQUSWJipZ/Pd//zemTJmCX375BYGBgQCAtLQ07Nu3Dx9//LGkAVqTpaewqGquKEvFQESkj6hkERkZCU9PT2zZsgXbtm2Dk5MTmjRpgnXr1qFdu3ZSx2g1NZn3qTr0DWwrKCrB04JSi8VARKQPZ52tgjWmsDC2XoYlYiAiqoizzlZBDlNYyCEGIiKDyaLirLP2Sg5TWFgrBq58R0RlRM06W/7/ZB9qslwsEdkeg8lixYoVot9kzJgxZgmG5IMr3xFReQaTxcmTJ7X/12g0+PXXX9GwYUMEBATA0dERly9fRlZWFjp37myRQMmyuPIdEZVnMFmUn8Jj7ty5aNmyJf72t79pFyjSaDSYN28efvvtN+mjJIuzdLdhIpI3URMJbt++HW+//bY2UQCAg4MDhg4dioMHD0oWHFlPTZeLJSLbImqchbe3N3788Uc0bdpUZ3tSUlKl+aJIehV7KUmxUh677BJReaKSxaRJkzBhwgR8//33CAgIgCAIOHfuHNLS0vD5559LHSOVo6+X0optZxDf6xWzX8jl0G2YiORBVDVUz549sXPnTgQGBuLmzZu4desW2rdvj927d9vdqG5r09dLqbC4FDuOplspIiKyB6Kn+2jevDkSEhKQkZEBHx8fCIIAZ2dnKWMjPdhLiYisQVTJori4GP/4xz/w2muvISIiApmZmUhISMDEiRPx7NkzqWOkckxZ1Y+IyFxEJYtly5bh+PHjWLNmDVxcnl+U4uLicOHCBSxYsEDSAEmXvl5KLk612EuJiCQlqhrqX//6FxYtWoTg4GDttvbt22PevHl49913bXpNC7nNj6Svl5IUvaGIiMoTlSwePXoELy+vSttdXV1RUFBg9qDkQq7zI1XspaS0JR6JSHlEVUOFhobiyy+/RPnlup88eYIlS5YgJCREsuCsrar5kYiI7ImoZDFr1ixcunQJoaGhKCwsxOjRo9GlSxdkZmZixowZUsdoNex5RET0nKhqKBcXF2zfvh0pKSm4du0aSkpK0LRpU3Tq1AkODqLyjWIcSb2NdXvPIye3EA4qQCNU3oc9j4jI3ohKFv369cOqVatsfmnVlPOZ2JB8CYXFz9e81pcoOD8SEdkj0SWLoqIiqWOxuh1H07WJoryyEoYcekMREVmDqGTRuXNnjBgxAl26dIGvr692rEWZcePGSRKcpRlqi9AIwFcfdrdwNERE8iEqWVy+fBmtW7fGw4cP8fDhQ53nVCqVJIFZA9dwICLST1Sy2Lhxo9RxyMLAMH+dNguAbRRERICRZLF7924cOHAAzs7O6NGjByIjIy0Vl1WEBvqgvlttbW8otlEQET1nMFl88cUXWLp0KUJDQ1FSUoIpU6bg0qVL+OCDDywZn8V1Dfbj1BlERBUYTBaJiYmYO3cu+vfvDwA4cOAApk6digkTJthUOwURERlncERdZmamzpiK7t27Iz8/H/fv37dIYEREJB8Gk0VJSQkcHf8oeDg6OtrNeAsiItIleqU8W1c2FfnD3EJ4smGbiEhHlcli7969qFu3rvaxRqNBUlISPD09dfaLiYmRJjoL0TcV+Zd7LuDqnceIiwiwcnRERNZnMFm89NJLWL9+vc42Ly8vbNmyRWebSqVSfLLQNxU5ABw+fRfNG7mzhEFEds9gsjh06JAl47CqqqYcX7P3Ar7cc4FjLojIrtnW/OLVVNV0HmUzz5atkpdyPtNCURERyYesk8WePXvQp08fhIeHY/PmzZIdR+x0Hlwlj4jslWyTRVZWFj799FN8/fXX2LlzJ7Zu3YqrV69KcqzQQB90C3pJ1L5cJY+I7JFsu86ePHkSISEhcHd3BwBEREQgOTkZY8aMkeR4cREBaN7IHTuPX0f2o3zFr5JX1hWYc1wRkTnINlncv38farVa+9jb2xtnz54V/Xovr3omH7NvVzf07doCwPPlVVdsO6MzA62LUy0MjwqEWu1m8ntLrXxMR1Jv68yem5NbiA3Jl1DfrTa6BvtZK0QdcjyHVWG80lNazPYWr2yThUaj0ZmDShAEk+akysnJg0Zf0cAItdoN2dlPENjYHfG9Xql0dx7Y2B3Z2U9Mft8yUtzxl8VcZt3e85VW/CssLsW6vedlMUlixXjljvFKT2kx22K8Dg6qKm+yZZssfHx8cOrUKe3j7OxseHt7WzSG0EAfs1bd6Bv8tz7povZY5mKoXYXtLURUXbJt4O7QoQNSUlLw8OFD5Ofn48CBA+jSpYu1w6oRfYP/pOhhZahdRSntLUQkP7JNFi+88AImTJiA+Ph49O/fH1FRUWjTpo21w6oRS93xDwzzh7Oj7lfLFf+IqCZkWw0FANHR0YiOjrZ2GGZjqTW+y6q02BuKiMxF1snCWqTqdjowzF+nzQKQ7o7f3O0tRGTfmCwqOJJ6W7JGaN7xE5FSMVlUsCEpzWAjtDku6rzjJyIlkm0Dt7U8eJSvdzu7nRKRPWOyqKChh6ve7ex2SkT2jMmigvjerdjtlIioArZZVNA12A+5TwrYCE1EVA6ThR5shCYi0sVqKCIiMorJgoiIjGKyICIio5gsiIjIKCYLIiIyir2hzIxrXxORLWKy+F3ZRf5hbiE8q3mRt9RKeERElsZqKPxxkc/JLYSAPy7yKeczTXofS62ER0RkaUwWMN9FnmtfE5GtYrKA+S7yXPuaiGwVkwXMd5Hn2tdEZKuYLGC+i3xooA+G9Q7QJhmv+i4Y1juAjdtEpHjsDQXd5U5r0huq7L2YHIjI1jBZ/K7sIq9WuyE7+4m1wyEikhVWQxERkVFMFkREZBSTBRERGcVkQURERrGB+3fmmBuKiMhWMVmAEwASERnDaihwAkAiImOYLMAJAImIjGGyACcAJCIyhskCnACQiMgYNnDDvHNDERHZIiaL33FuKCIiw1gNRURERjFZEBGRUUwWRERkFJMFEREZZbMN3A4OKqu81lqUFjPjlZbS4gWUF7OtxWvseZUgCII5AyIiItvDaigiIjKKyYKIiIxisiAiIqOYLIiIyCgmCyIiMorJgoiIjGKyICIio5gsiIjIKCYLIiIyisminD179qBPnz4IDw/H5s2brR2OXnFxcYiMjES/fv3Qr18/nDlzBidPnkR0dDTCw8Px6aefWjtEAEBeXh6ioqJw584dADAYY1paGgYOHIiIiAhMnz4dJSUlsoh36tSpCA8P157ngwcPyireFStWIDIyEpGRkVi4cCEAeZ9jffHK+RwvXboUffr0QWRkJNauXQtA3udXX7xmP78CCYIgCJmZmUK3bt2ER48eCU+fPhWio6OFK1euWDssHRqNRujUqZNQXFys3Zafny+EhYUJt27dEoqLi4URI0YIR44csWKUgvDrr78KUVFRQmBgoHD79u0qY4yMjBROnz4tCIIgTJ06Vdi8ebPV4xUEQYiKihKysrIq7SuHeE+cOCG89dZbQmFhoVBUVCTEx8cLe/bske051hfvgQMHZHuOf/rpJyE2NlYoLi4W8vPzhW7duglpaWmyPb/64k1PTzf7+WXJ4ncnT55ESEgI3N3dUadOHURERCA5OdnaYem4du0aAGDEiBHo27cvNm3ahLNnz6JJkybw8/ODo6MjoqOjrR53YmIiZs2aBW9vbwAwGGNGRgYKCgrQtm1bAMDAgQOtEnvFePPz83H37l1MmzYN0dHRWLZsGTQajWziVavV+PDDD+Hs7AwnJyf4+/vjxo0bsj3H+uK9e/eubM/xG2+8gQ0bNsDR0RE5OTkoLS1Fbm6ubM+vvnhr165t9vPLZPG7+/fvQ61Wax97e3sjKyvLihFVlpubi9DQUKxcuRLr1q3Dli1bcPfuXdnFPXfuXLRv31772NC5rbhdrVZbJfaK8T548AAhISGYN28eEhMTcerUKWzfvl028bZo0UL7x37jxg0kJSVBpVLJ9hzri7dz586yPsdOTk5YtmwZIiMjERoaKvvfcMV4S0pKzH5+mSx+p9FooFL9MUWvIAg6j+UgKCgICxcuhJubGzw9PRETE4Nly5bJPm5D51au59zPzw8rV66Et7c3XF1dERcXh6NHj8ou3itXrmDEiBGYPHky/Pz8ZH+Oy8fbrFkz2Z/j999/HykpKbh37x5u3Lgh+/NbPt6UlBSzn18mi9/5+PggOztb+zg7O1tbLSEXp06dQkpKivaxIAjw9fWVfdyGzm3F7Q8ePJBF7JcuXcL+/fu1jwVBgKOjo6ziTU1NxfDhwzFx4kQMGDBA9ue4YrxyPsfp6elIS0sDALi6uiI8PBw//fSTbM+vvnj37dtn9vPLZPG7Dh06ICUlBQ8fPkR+fj4OHDiALl26WDssHU+ePMHChQtRWFiIvLw8fPfdd/jggw9w/fp13Lx5E6Wlpdi7d6/s4n7ttdf0xujr6wsXFxekpqYCAHbt2iWL2AVBwLx58/Dbb7+huLgYW7duRc+ePWUT77179/Dee+9h8eLFiIyMBCDvc6wvXjmf4zt37mDGjBkoKipCUVERfvjhB8TGxsr2/OqL9/XXXzf7+bXZlfJM9cILL2DChAmIj49HcXExYmJi0KZNG2uHpaNbt244c+YM+vfvD41GgyFDhiAoKAgLFizA2LFjUVhYiLCwMPTq1cvaoepwcXExGOPixYsxY8YM5OXlITAwEPHx8VaOFggICMBf//pXDB48GCUlJQgPD0dUVBQAecS7Zs0aFBYWYsGCBdptsbGxsj3HhuKV6zkOCwvD2bNn0b9/f9SqVQvh4eGIjIyEp6enLM+vvnjHjBkDDw8Ps55frpRHRERGsRqKiIiMYrIgIiKjmCyIiMgoJgsiIjKKyYKIiIxisiBF+PDDD/HKK68Y/Ldjxw6LxnP79m0cOXKk2q9PT09HbGxsjeN4+vRpjT778uXLMXjwYFH7fvPNN7KZ1Zgsj11nSRGePHmCgoICAM9Hso8fPx7Hjx/XPu/m5obatWtbLJ64uDi0a9cOEyZMqNbrhw8fjpEjR6Jz5841imPFihU4ceIEvvnmm2q9/unTpyguLoa7u7vRfUtKShAdHY1Vq1ahadOm1ToeKRdLFqQIbm5uUKvVUKvVaNCgAQBoH6vVaosmipr65ZdfkJGRUeNEATwfCV0TdevWFZUoAMDR0REDBgzAl19+WaNjkjIxWZBNSE9Px6hRoxAUFIRXX30VgwcPxpUrVwAAP/30E7p06YKPP/4YwcHBWL58OQBg3bp16Ny5M9q1a4c5c+YgLi5OW6UjCAJWrVqFzp07Izg4GCNHjsSNGzcAPK8S+/nnn/H5558jLi4OALB582b06NEDr776KqKjo3H48GGDsX7zzTd48803AQBFRUVo37499u3bp31eo9Ggc+fOOHDgQJWfeceOHVixYgV++eUXvPLKKwCA7t27Y+HChejUqRP69OmDkpISHD58GAMGDMCrr76K4OBgjB8/Hnl5eQB0q6F27NiBwYMHY8WKFQgJCUGnTp0wd+5caDQa7TF79OiBf/3rX8jNzRX3xZDNYLIgxRMEAe+++y5eeukl7Nq1C1u2bIFGo9GuyAYAWVlZ2vm0BgwYgN27d2Pp0qWYOnUqtm7dijt37uD//u//tPtv2rQJu3btwsKFC5GYmIgmTZpg+PDhyM/Px/Tp0xEUFIRhw4Zh+fLluHDhAubPn4+pU6ciOTkZffr0wfjx4/VeUAVBwI8//ogOHToAAJydndGzZ0+dNQVSU1Px7NkzhIWFVfm5+/TpgxEjRqBNmzY6VXK7d+/G6tWr8cknn+DevXsYO3YsYmNjkZSUhKVLl+J///d/DVZbnTt3Dunp6di8eTPGjx+PTZs24ccff9Q+7+/vjwYNGuDnn3828q2QrWGyIMXLz89HTEwMpkyZgsaNGyMwMBADBgzA1atXdfYbNWoUGjdujEaNGuHrr79GXFwc+vTpgxYtWuAf//iHTlXW6tWrMWnSJISGhsLf3x8zZ85ErVq1sH//fri5ucHJyQmurq5wd3dHRkYGAMDX1xe+vr4YPXo0Vq5cCScnp0qxZmRk4NGjR/D399dui46OxtGjR/Hs2TMAwL59+9CzZ0+4uLhU+blr166NOnXqwNHRUWeNgujoaAQEBKBVq1YoLS3F9OnT8dZbb6FRo0bo1KkTOnToUOnclCkpKcHHH38Mf39/xMTEICAgAOfOndPZp3nz5pW2ke3jRIKkeHXq1MGQIUOwa9cu/Pvf/8a1a9dw4cKFSnXxvr6+2v9funQJI0eO1D5u0KCBttH26dOnyMzMxKRJk+Dg8Mf9VGFhobYqqrxOnTohODgY/fv3R8uWLdG9e3fExMTA1dW10r4PHz4EAHh4eGi3hYSEwM3NDUeOHEFERAQOHDigM+meqcp/zpdffhnOzs745z//iStXruDKlSu4evWqdvbXijw8PODm5qZ9XK9evUprNLu7u2s/B9kPJgtSvKdPnyImJgYNGjTAm2++iaioKFy7dg1ffPGFzn7l79Rr1apVqXG47HFpaSkAYMmSJWjevLnOPuUvpGVcXV2xbt06pKam4vDhw0hOTsamTZuwefNmBAQE6I25fDuAg4MDevfujeTkZHh6ekKj0SA0NNSEM6Cr/Oe8ePEiBg8ejG7duiE4OBjDhw/H+vXrDb5WX2mo4nkqLS3VSaJkH/iNk+L9/PPPyMzMxMaNGzFq1Ch06NABd+/erbKnUPPmzXH+/Hnt47y8PNy8eRMAUL9+fXh5eSE7OxtNmjRBkyZN0KhRIyxZsgSXLl2q9F6nT5/GqlWr0L59eyQkJCApKQkNGzbEsWPHKu1bVl306NEjne1RUVE4fvw4vv/+e/Tq1QuOjuLu44ytcrZr1y60a9cOS5YswdChQ9GmTRvcvHmzRr2oHj9+jIYNG1b79aRMTBakeO7u7sjPz8fBgwdx584dbNu2DZs3b0ZRUZHB18TFxWHTpk3Yv38/0tPTMX36dDx79kx78R0+fDiWLl2K77//Hjdv3sTs2bNx8uRJNGvWDMDzLqe3bt1CTk4OateujVWrVmHLli24c+cODh06hHv37qF169aVjuvj4wMvL69KSee1116Dl5cXEhMTDVYR6VOnTh1kZ2fj9u3bBs/N5cuXcebMGdy4cQMLFizAuXPnUFxcLPoYFV2+fFnvZyPbxmRBihcUFIQxY8bg73//O/r27Ytvv/0Ws2bNwuPHj3H37l29r4mMjMTIkSPx0Ucf4S9/+Qt8fHzQqFEjbTXMyJEjERsbi9mzZ6Nv3764fPky1qxZgxdeeAEA8NZbb+HEiRN455130KpVK8yfPx/r169H7969MX/+fEyZMkXb46k8lUqFTp064dSpU5We69OnDzw9PREcHCz6s4eHh8PBwQFRUVHIycmp9HzZ4MG3334bsbGxyMjIwJgxY7TLcJoqPT0dT58+RUhISLVeT8rFEdxkl37++Wf4+fnhxRdfBPC8F1BISAhWrlyJP//5z5Ie+9SpU0hISMChQ4d0qpGmTp0KT09PJCQkSHr8mli2bBnu37+POXPmWDsUsjA2cJNd+v7773H69GnMnj0bdevWxYYNG1CvXj20bdtW8mO3b98evr6+OHr0KLp27YqzZ8/i/PnzSE5Oxrfffiv58aurqKgIu3fvrtRxgOwDkwXZpffffx8ff/wx3n77bRQWFiIoKAirV682OrbBXGbNmoUZM2aga9eu+PHHH7F69Wq899572jYRAJg7dy62b99u8D2GDBli0VLItm3b0KtXL50YyX6wGopIph4+fIgnT54YfN7NzQ2enp4WjIjsGZMFEREZxd5QRERkFJMFEREZxWRBRERGMVkQEZFRTBZERGTU/wMfuUv+hLyecgAAAABJRU5ErkJggg==",
- "text/plain": [
- "<Figure size 432x288 with 1 Axes>"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- }
- ],
- "source": [
- "plt.scatter(y_train, y_hat)\n",
- "plt.xlabel('Targets (y_train)', size=14)\n",
- "plt.ylabel('Predictions (y_hat)', size=14)\n",
- "plt.show()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 49,
- "metadata": {
- "pycharm": {
- "name": "#%%\n"
- }
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "Text(0.5, 1.0, 'Residuals PDF')"
- ]
- },
- "execution_count": 49,
- "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(y_train - y_hat)\n",
- "plt.title(\"Residuals PDF\", size=18)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 50,
- "metadata": {
- "pycharm": {
- "name": "#%%\n"
- }
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "0.4157978256227316"
- ]
- },
- "execution_count": 50,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "reg.score(x_train,y_train)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 51,
- "metadata": {
- "pycharm": {
- "name": "#%%\n"
- }
- },
- "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>Features</th>\n",
- " <th>Weights</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>0</th>\n",
- " <td>cases_growth</td>\n",
- " <td>-9.095213</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>1</th>\n",
- " <td>death_growth</td>\n",
- " <td>2.174800</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2</th>\n",
- " <td>Diabetes, blood, & endocrine diseases (%)</td>\n",
- " <td>-13.279028</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>Liver disease (%)</td>\n",
- " <td>5.427866</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>HIV/AIDS and tuberculosis (%)</td>\n",
- " <td>-3.507265</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>5</th>\n",
- " <td>Malaria & neglected tropical diseases (%)</td>\n",
- " <td>29.743934</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>6</th>\n",
- " <td>population growth rate</td>\n",
- " <td>-69.590781</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>7</th>\n",
- " <td>net migration rate</td>\n",
- " <td>59.670311</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>8</th>\n",
- " <td>obesity - adult prevalence rate</td>\n",
- " <td>7.295591</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " Features Weights\n",
- "0 cases_growth -9.095213\n",
- "1 death_growth 2.174800\n",
- "2 Diabetes, blood, & endocrine diseases (%) -13.279028\n",
- "3 Liver disease (%) 5.427866\n",
- "4 HIV/AIDS and tuberculosis (%) -3.507265\n",
- "5 Malaria & neglected tropical diseases (%) 29.743934\n",
- "6 population growth rate -69.590781\n",
- "7 net migration rate 59.670311\n",
- "8 obesity - adult prevalence rate 7.295591"
- ]
- },
- "execution_count": 51,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "reg.intercept_\n",
- "reg.coef_\n",
- "reg.summary = pd.DataFrame(inputs.columns.values, columns=['Features'])\n",
- "reg.summary['Weights'] = reg.coef_\n",
- "reg.summary"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 52,
- "metadata": {
- "pycharm": {
- "name": "#%%\n"
- }
- },
- "outputs": [
- {
- "data": {
- "image/png": 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5EmFhYejduzc8PT3x1FNPISAgAJs2beI+3EQNUGn0UFaqodbW7gkR5C/jrb3U5tjUsvD29jbfCdW9e3ecO3cOANC3b19cvHjRftERtXFc6JBchU3FIiIiAqtWrYJSqUT//v3x5Zdf4urVqzh48CD8/PzsHCJR28WFDslV2FQsFi5ciJs3b+LAgQOIjY1Fhw4dMHjwYKxYsQLPP/+8vWMkarPUWgO8JJZ/zbwkYqi1XOiQ2habxiwUCoV5hjVQeyvtr7/+ig4dOnALVaIGyKQS6AwmSD09zMd0BhNkUocvy0bUKDZfsdevX0dBQQG0Wi3qJn1XVFSgsLAQkZGRdguQqC0L8pehsLQaACwWOgwJbvqqyESOYFOxyMzMREpKCvT62wflRCIR8vPzWzwwIldQt9ChslINlab2bqiQYDnvhqI2x6ZisXbtWiQmJuL555+HXM5vRESNwYUOyRXYVCyuXbuGyZMns1AQUYM4p8R12XQ31IgRI7Bv3z57x0JEbRjnlLi2elsWr732mvlntVqN1atX4+DBgwgNDYWHh4fFc1esWGG/CImoTbh1TgkA8/+VlWp2w7mAeovFrQXB19cXjz32WGvEQ0RtlFprgNzb8p8UL0ntDobU9tVbLJYuXdroN3v11Vfx+uuvIyAgoFlBEVHbwzklrs2mMQtb5eTkQK3mMgZE7ijIXwatzgit3ghBEKDVG6HVGRHkL3N0aNQCWrRYEJH7qptTIhHXdj1JxGJ0D/bl3VAugu1DImoxnFPiutiyICIiq1gsiIjIqlYvFiqVCnFxcbh8+TIA4Pjx44iPj0dMTAzWrFljfl5+fj4SEhIwatQoLFiwAAYDb78jInKUVi0Wp0+fxqRJk3Dp0iUAQE1NDV5//XVs3LgRWVlZ+Omnn3DkyBEAQFJSEhYtWoT9+/dDEARkZGS0ZqhERHQLm4rFli1bUFZWZvV5s2fPRseOHev9fUZGBlJTUxEYGAgAOHPmDLp164bQ0FBIJBLEx8cjOzsbJSUlqKmpQXh4OAAgISEB2dnZtoRKRER2YNPdUPv27cM777yDAQMGIC4uDqNGjYKv7+13PEydOrXB90lLS7N4XFZWBoVCYX4cGBgIpVJ523GFQgGlUmlLqGYBAU1f9FCh8Gnya10Fc1CLeWAOAOYAsLFY7NixAyUlJcjOzsaOHTvw5ptvYvDgwYiNjcWIESMgkzVt0o3JZIJIJDI/FgQBIpGo3uONcfWqCiaT0OiYFAoflJffaPTrXAlzUIt5YA4A98mBWCxq8Eu2zWMWISEhmD59Onbv3o19+/bhvvvuw8KFCzF48GC88sor+O9//9vo4Dp37ozy8nLz4/LycgQGBt52vKKiwtx1RUREra9Rk/JKSkqwb98+7N+/H3l5eXjooYcQGxuLsrIyvPzyyxg3bhySk5Ntfr9+/frh4sWLKCoqQpcuXbB371488cQTCAkJgVQqRW5uLgYMGIDMzExERUU1+sMREVHLsKlYbN68Gfv27cPPP/+MPn36IC4uDhs3brQYVwgJCcHixYsbVSykUimWLVuGWbNmQavVIjo6GqNHjwYArFy5EikpKVCpVOjduzemTJnSyI9GREQtRSQIgtWO/bFjxyI2Nhbx8fHo2rXrHZ9z4cIF5OXlOc1S5hyzaDrmoBbzwBwA7pMDa2MW9bYsdDodvLy8AABZWVlWT9SzZ0/cfffdjY+QiIicXr0D3BMmTMDOnTuh0+msvolarca2bdswfvz4Fg2OiIicQ70tiy1btmDVqlV45513EBkZicGDB6N79+7o2LEjBEFAVVUVzp8/j1OnTuHo0aMYOXIkPvzww9aMnYiIWonVMYsrV64gIyMD33zzDc6dOwej0QgAkEgk6NWrF6Kiosx3MDkTjlk0HXNQi3lgDgD3yYG1MQubBrjrmEwmXLt2DQDg7+/f7ODsicWi6ZiDWswDcwC4Tw6aPMB95zcTO32RcAYqjR7KSjXUWgNkUgmC/GXcLYyI2jTuZ9HCVBo9CkurYTCZIPeWwGAyobC0GiqN3tGhERE1GbdVbWHKSjWkXh6QenoAgPn/yko1t5tsJWzZEbU8tixamFprgJfEMq1eEjHUWm7e1BrYsiOyD5uLxcWLF3HjRu0gz/Hjx7F48WLs3r3bboG1VTKpBDqDyeKYzmCCTMpGXGu4tWUnEokg9fSA1MsDykq1o0MjatNsKhZ79uxBXFwc8vLycO7cOTz33HO4dOkSVq1ahQ0bNtg7xlah0uhRUFKN3HNKFJQ0/ZtokL8MWp0RWr0RgiBAqzdCqzMiyL9py7hT47BlR2QfNhWL999/H2+99RYGDRqETz/9FD169MCHH36I1atXY+fOnfaO0e5u7broIPNqVteF3NsT3YN9IRGLodIYIBGL0T3Yl33mrYQtOyL7sOlv0JUrVxAREQEAOHToEP72t78BALp06YLq6mr7RddK7tR1UXe8KYPScm9PDmY7SJC/DIWltdekl0QMncEErc6IkOCm75xIRDYWi9DQUBw7dgyBgYH47bffMGLECADAZ599hu7du9s1wNag1hog97ZMhZektmVAbUtdy05ZqYZKU3s3VEiwnC07omayqVjMmjULc+fOhdFoRHx8PO6//34sW7YMO3bscIkxi7qui7oWBcCui7aMLTuilmfzch+VlZVQKpW4//77AQCFhYXo0KEDOnXqZNcAm6oxy33UjVlIvTwQ1MkHyoob0OqMbjvW4C7LG1jDPDAHgPvkoMX24O7YsSM6duyI4uJiFBcXw9PTExqNBsXFxS0SqCPdOih9Xa3joDQR0V/Y1M9y5MgRLFy4EOXl5RbHBUGASCRCfn6+XYJrTXVdF+7yLYKIqDFsKhYrV65E//798fzzz0Mu510l1DZxGRCiprOpWBQXF+Pdd991iTufyD3dOi4l9669oaGwtJrdjUQ2smnMYuDAgThz5oy9YyGyG3deBqRudYKzhVebtToBuTebWhYPPvggFi9ejJycHHTt2hWenpbfxGbPnt2sIDIzM7Fp0yYAQFRUFObNm4fjx49j6dKl0Gq1GDNmDObMmdOsc5B7c9e5NGxRUUuxqVicOHECffr0QVVVFaqqqix+JxKJmhWARqNBWloasrOz0aFDB0yaNAk5OTlYsmQJtm7dirvuugszZ87EkSNHEB0d3axzNaSuP/u3q2roa/Tsz3Yx7jqXhkvmU0ux6W/K1q1b7RaA0WiEyWSCRqOBTCaDwWCAXC5Ht27dEBoaCgCIj49Hdna23YrFrd++AmReUKq1/PblYtx1GRB3bVFRy7P5a9XZs2exefNmFBQUwGQy4Z577sFTTz2FyMjIZgUgl8sxe/ZsjBkzBt7e3njooYdQVlYGhUJhfk5gYCCUSmWzztOQll4bipyPuy4D4q4tKmp5Nl0x2dnZmDt3LmJiYvD3v/8dRqMRP/zwA5555hmsXbsWjz76aJMDOHfuHHbv3o1Dhw7Bx8cHc+fOxaVLlyy6t+rmczRGQzMR/+q3q2oEyLzM5+jo1x6CIOC6WgeFwqdR53UVrvi5FQDu6dq4PeTbeh7atZfifFEV2v3xZUirN0KkM+K+bh3hI/Oy6T3aeg5aAnNgY7FYv3495s6di6lTp5qPTZ06FVu2bMH69eubVSyOHj2KyMhIBAQEAAASEhKwefNmeHj8+U2ovLwcgYGBjXrfxiz3oa/RQ6nWQurpgY5+7VF17Sa0eiMkYrFbTtDjxMRarpKHgPaeUFaqUXbL/JKam1rU3NRafa2r5KA53CUHLbLcx+XLlzFs2LDbjg8bNgwXL15senQAevXqhePHj0OtVkMQBOTk5KBfv364ePEiioqKYDQasXfvXkRFRTXrPA3hhkXkyuTenggL8cUD3QMQFsJxOGoam1oWYWFh+Oabb5CYmGhx/PDhw+jSpUuzAhgyZAjy8vKQkJAAT09PPPDAA5g1axYGDx6MWbNmQavVIjo6GqNHj27WeRpya3923dpQ7tCfTURkK5tWnT106BBmzZqFmJgY9O3bFwBw5swZHDhwAKtWrcKoUaPsHmhjNaYb6lbu0uRsCHNQi3lgDgD3yUGLdEMNGzYM//nPf6DX65GRkYHMzEyIRCJs377dKQsFERG1LJvvn4uMjGz2bbJERNQ21VssXnvtNSxatAhyuRyvvfZag2+yYsWKFg+MiIicR73F4tZbV2/9mYiI3E+9xWLp0qXmnxMSEhAeHn7bAoI6nQ7ffPON/aIjIiKn0OAAt8lkgtFoxJQpU3Dt2jWYTCaL/86fP49XXnmltWIlIiIHqbdlsX37drzxxhsQiUQQBKHeSXGDBw+2W3DUfNwdjohaQr3F4sknn0RYWBhMJhOefvpprFu3Dr6+fy6qJxKJIJPJ0LNnz1YJlBqPexkQUUtp8NbZhx56CADw9ddfw9fXFyqVCp07dwZQu6bT/ffff9s4BjkP7mVARC3Fpkl55eXlGDFiBNLT083Hli5ditGjRyM/P99uwVHzqLUGeEks/4i9JGKotdzLgIgax6Zi8fbbb2PChAl49dVXzce+/PJLjBs3Dm+++abdgqPmqdvL4Fbcy4CImsKmYnHhwgVMnDjxtj0lJk6ciLy8PLsERs3H1XSJqKXYVCy6dOmCY8eO3Xb8u+++s9jRjpxL3Wq6EnHtNpoSsZiD20TUJDb1R/zrX//CvHnz8P3336N3794AgPz8fGRlZWHJkiV2DZCaR+7tycFsImo2m4pFbGws/P39sX37duzcuROenp7o1q0btmzZggcffNDeMRIRkYNx1VkiIrKKq84SEZFVXHWWiIissmlb1baI26o2HXNQi3lgDgD3yYG1bVXrbVls2LDB5pO8+OKLjYuKiIjalHqLxfHjx80/m0wm/Pjjj+jUqRN69eoFiUSCCxcuQKlUYujQoa0SKBEROU69xeLjjz82/5yWloaePXti0aJFkEhqX2IymfD222+jurra/lESEZFD2TSDe9euXfjnP/9pLhQAIBaL8dRTT+HgwYPNDiInJwcJCQkYM2YM3nrrLQC1LZv4+HjExMRgzZo1zT4H2YdKo0dBSTXOFl5FQUk1VBq9o0MiIjuwqVgEBgbi22+/ve34vn37EBoa2qwAiouLkZqaio0bN+Lzzz9HXl4ejhw5gtdffx0bN25EVlYWfvrpJxw5cqRZ56GWV7dfhsFkgtxbAoOpdr8MFgwi12PTpLy5c+dizpw5+Oqrr9CrVy8IgoCzZ88iPz8f//73v5sVwMGDBzF27FjzPhlr1qxBUVERunXrZi5E8fHxyM7ORnR0dLPORS2L+2UQuQ+bisXIkSPx2WefYffu3SgsLAQADBw4EMuXL0e3bt2aFUBRURE8PT3x3HPP4cqVK3jkkUdw7733WixQGBgYCKVS2aj3begWMGsUCp8mv9ZV2JKD366qESDzsliNWBAEXFfrXCaHrvI5moM5YA6ARiz30aNHDyQlJaGkpASdO3eGIAjw8vJqdgBGoxGnTp3C1q1bIZPJ8K9//Qvt2rW77R+gvy6Pbg3nWTSdrTnQ1+ihVGvNLQoA0OqNkIjFLpFDXgvMAeA+OWjyPItb6fV6rF69Gunp6TAajdi/fz9WrlwJiUSCN998EzJZ0/dH6NSpEyIjI+Hv7w8AePTRR5GdnW0xa7y8vByBgYFNPoezUmn0UFaqodYaIJNKEOQva1PLhwf5y1BYWns3nJdEDJ3BBK3OiJDgprfqqPna+nVFzsmmAe5169bh6NGj2Lx5M6RSKQAgMTEReXl5WLZsWbMCGDZsGI4ePYrr16/DaDTi22+/xejRo3Hx4kUUFRXBaDRi7969iIqKatZ5nI0rDA5zvwzn4wrXFTknm1oWX375Jd555x0MGDDAfGzgwIF4++238fzzzzdrT4t+/fphxowZmDx5MvR6PQYPHoxJkyahe/fumDVrFrRaLaKjozF69Ogmn8MZucrgMPfLcC6ucl2R87GpWFRVVSEgIOC2497e3qipqWl2EOPHj8f48eMtjkVGRuLzzz9v9ns7K7XWALm3Zfq9JLXf0ImaitcV2YtN3VCRkZH4z3/+g1vXHLxx4wZWr16NiIgIuwXnymRSCXQGk8UxncEEmdTmew6IbsPriuzFpmKRmpqK8+fPIzIyElqtFjNnzkRUVBR+//13pKSk2DtGlxTkL4NWZ4RWb4QgCNDqjdDqjAjyb/rNAkS8rshebPq6IZVKsWvXLpw4cQKFhYUwGAy45557MGTIEIjFNtUb+ou6wWFlpRoqTe1dKyHBcg4OU7PwuiJ7salYjBs3Dhs3buTWqi2Mg8NkD7yuyB5sahZIpVLodDp7x0JERE7KppbF0KFDMW3aNERFRSEkJMQ816LO7Nmz7RIcERE5B5uKxYULF9CnTx9UVlaisrLS4neNXYaDiIjaHpuKxdatW+0dBxERObEGi8Xnn3+OAwcOwMvLCyNGjEBsbGxrxUVERE6k3gHuTZs2ITk5GTU1NVCr1Zg3bx5Wr17dmrEREZGTqLdlkZGRgbS0NDz22GMAgAMHDiA5ORlz5szhOAURkZupt1j8/vvvFnMqhg8fDo1Gg7KyMgQFBbVKcESOxuW+iWrV2w1lMBggkfxZSyQSCedbkFu5odZxuW+iP3CtDqJ6lJarzMt9i0QiSD09IPXygLJS7ejQiFpdg3dD7d27F+3btzc/NplM2Ldvn3lXuzp/XV6cyBWoNHp4SSy/T3G5b3JX9RaL4OBg/N///Z/FsYCAAGzfvt3imEgkYrEglyT39kT5X/YY53Lf5K7qvepzcnJaMw4ipxOskOPyFe4xTgTYOIObqDU4251HPjIvLvdN9AcWC3IKKo0ehaXVkHp5QO5du9tbYWk1ugf7OvQfZy73TVSLd0ORU1BWqnnnEZETY7Egp6DWGu5455FayzuPiJyBUxWL5cuXY/78+QCA48ePIz4+HjExMVizZo2DIyN7k0lru55uxTuPiJyH0xSLEydO4NNPPwUA1NTU4PXXX8fGjRuRlZWFn376CUeOHHFwhGRPQf4yaHVGaPVGCIIArd4Irc6IIH+Zo0MjIjhJsbh27RrWrFmD5557DgBw5swZdOvWDaGhoZBIJIiPj0d2draDoyR7knt7onuwLyTi2klvErHY4YPbRPQnp2jjL1q0CHPmzMGVK1cAAGVlZVAoFObfBwYGQqlUOio8aiW884jIeTm8WOzcuRN33XUXIiMjsWfPHgC1y4rcugy6IAiNXhY9IKDpE6cUCp8mv9ZVMAe1mAfmAGAOACcoFllZWSgvL8e4ceNQXV0NtVqNkpISeHj8ucRCeXk5AgMDG/W+V6+qYDIJjY5HofBBefmNRr/OlTAHtZgH5gBwnxyIxaIGv2Q7vFh8+OGH5p/37NmDkydPYvHixYiJiUFRURG6dOmCvXv34oknnnBglERE7s3hxeJOpFIpli1bhlmzZkGr1SI6OhqjR492dFhERG5LJAhC4/tq2gB2QzUdc1CLeWAOAPfJgbVuKKe4dZaIiJwbiwUREVnFYkFERFaxWBARkVUsFkREZBWLBRERWcViQUREVrFYEBGRVU45g5ucg0qjh7JSDbXWAJlUgiB/GZcMJ3JTbFnQHak0ehSWVsNgMkHuLYHBZEJhaTVUGr2jQyMiB2CxoDtSVqoh9fKA1NMDIpEIUk8PSL08oKxUOzo0InIAFgu6I7XWAC+J5eXhJRFDrTU4KCIiciQWC7ojmVQCncFkcUxnMEEm5TAXkTtisaA7CvKXQaszQqs3QhAEaPVGaHVGBPnLHB0aETkAiwXdkdzbE92DfSERi6HSGCARi9E92Jd3QxG5KfYpUL3k3p6Qh/g6OgwicgJsWRARkVUsFkREZBWLBRERWcViQUREVrnsALdYLHLIa10Fc1CLeWAOAPfIgbXPKBIEQWilWIiIqI1iNxQREVnFYkFERFaxWBARkVUsFkREZBWLBRERWcViQUREVrFYEBGRVSwWRERkFYsFERFZxWJxiy+++AJjx45FTEwMtm3b5uhwWk1iYiJiY2Mxbtw4jBs3DqdPn8bx48cRHx+PmJgYrFmzxtEh2o1KpUJcXBwuX74MAPV+7vz8fCQkJGDUqFFYsGABDAbX2Yv8rzlITk5GTEyM+Xo4ePAgANfNwYYNGxAbG4vY2FisWLECgHteB1YJJAiCIPz+++/CsGHDhKqqKuHmzZtCfHy88Msvvzg6LLszmUzCkCFDBL1ebz6m0WiE6Oho4bfffhP0er0wbdo04fDhww6M0j5+/PFHIS4uTujdu7dQXFzc4OeOjY0VfvjhB0EQBCE5OVnYtm2bAyNvOX/NgSAIQlxcnKBUKm97rivm4NixY8LEiRMFrVYr6HQ6YcqUKcIXX3zhdteBLdiy+MPx48cREREBPz8/yGQyjBo1CtnZ2Y4Oy+4KCwsBANOmTcPf/vY3pKen48yZM+jWrRtCQ0MhkUgQHx/vkrnIyMhAamoqAgMDAaDez11SUoKamhqEh4cDABISElwmH3/NgUajQWlpKV5//XXEx8dj3bp1MJlMLpsDhUKB+fPnw8vLC56enggLC8OlS5fc7jqwhcuuOttYZWVlUCgU5seBgYE4c+aMAyNqHdevX0dkZCQWLlwIvV6PKVOmYMaMGbflQqlUOjBK+0hLS7N4fKdrQKlU3nZcoVC4TD7+moOKigpEREQgNTUVPj4+mDlzJnbt2oV7773XJXNw7733mn++dOkS9u3bh3/84x9udx3YgsXiDyaTCSLRn0v0CoJg8dhV9e/fH/379zc/Hj9+PNatW4cBAwaYj7lLLuq7Btzp2ggNDcV7771nfpyYmIjPPvsMYWFhLp2DX375BTNnzsRrr70GDw8PXLp0yfw7d7wO7oTdUH/o3LkzysvLzY/Ly8vNTXNXdurUKZw4ccL8WBAEhISEuGUu6rsG/nq8oqLCZfNx/vx57N+/3/xYEARIJBKXzkFubi6mTp2KV199FY8//jivg3qwWPzh4YcfxokTJ1BZWQmNRoMDBw4gKirK0WHZ3Y0bN7BixQpotVqoVCp8+umneOWVV3Dx4kUUFRXBaDRi7969bpGLfv363fFzh4SEQCqVIjc3FwCQmZnpsvkQBAFvv/02qqurodfrsWPHDowcOdJlc3DlyhW88MILWLlyJWJjYwHwOqgPu6H+EBQUhDlz5mDKlCnQ6/UYP348+vbt6+iw7G7YsGE4ffo0HnvsMZhMJkyePBn9+/fHsmXLMGvWLGi1WkRHR2P06NGODtXupFJpvZ975cqVSElJgUqlQu/evTFlyhQHR2sfvXr1wrPPPotJkybBYDAgJiYGcXFxAFwzB5s3b4ZWq8WyZcvMx5588km3vw7uhDvlERGRVeyGIiIiq1gsiIjIKhYLIiKyisWCiIisYrEgIiKrWCyoTZk/fz7uu+++ev/bs2dPq8ZTXFyMw4cPN/n1BQUFePLJJ5sdx82bN1vss+fn5+PUqVMAgMrKSjz22GPQarUt8t7UdvHWWWpTbty4gZqaGgC1s89ffvllHD161Px7Hx8ftGvXrtXiSUxMxIMPPog5c+Y06fVTp07F9OnTMXTo0GbFsWHDBhw7dgyffPJJs94HAIYPH45//etfmDBhAgDg3XffhVgsxqxZs5r93tR2cVIetSk+Pj7w8fEBAPj6+gKAxeJubcn333+PkpKSZhcKoHbmtb1MnjwZY8eOxbRp09C+fXu7nYecG7uhyKUUFBRgxowZ6N+/Px544AFMmjQJv/zyCwDgu+++Q1RUFJYsWYIBAwZg/fr1AIAtW7Zg6NChePDBB/HWW28hMTHR3KUjCAI2btyIoUOHYsCAAZg+fbp5kbn58+fj5MmT+Pe//43ExEQAwLZt2zBixAg88MADiI+Px6FDh+qN9ZNPPsGjjz4KANDpdBg4cCCysrLMvzeZTBg6dCgOHDjQ4Gfes2cPNmzYgO+//x733Xef+f3S0tIQERGBQYMGYfbs2aioqDC/pr44ExMTUVJSgpSUFMyfPx9AbTG+++67sXfvXtv+EMglsViQyxAEAc8//zyCg4ORmZmJ7du3w2QymXc/AwClUmleA+vxxx/H559/jnfffRfJycnYsWMHLl++jP/973/m56enpyMzMxMrVqxARkYGunXrhqlTp0Kj0WDBggXo378/nn76aaxfvx55eXlYunQpkpOTkZ2djbFjx+Lll1/G9evX7xjrt99+i4cffhgA4OXlhZEjR1rsj5Cbmwu1Wo3o6OgGP3fdt/6+ffuau+RWr16NH3/8Ee+//z62bt0KQRAwc+ZMCILQYJzr169H586dMX/+fCxYsMB8jocffhjffPNN0/5gyCWwWJDL0Gg0GD9+PObNm4euXbuid+/eePzxx/Hrr79aPG/GjBno2rUrunTpgo8//hiJiYkYO3Ys7r33XixfvtxizOODDz7A3LlzERkZibCwMCxcuBAeHh7Yv38/fHx84OnpCW9vb/j5+aGkpAQAEBISgpCQEMycORPvvfcePD09b4u1pKQEVVVVCAsLMx+Lj4/HkSNHoFarAQBZWVkYOXIkpFJpg5+7Xbt2kMlkkEgkUCgU0Gg0SE9Px+LFi9GvXz/07NkTK1aswK+//orc3NwG4/Tz84OHhwfkcrm5uw8AevTogbNnzzbyT4RcCccsyGXIZDJMnjwZmZmZ+Omnn1BYWIi8vDz4+flZPC8kJMT88/nz5zF9+nTzY19fX9xzzz0Aau8w+v333zF37lyIxX9+r9JqtRb7HdQZMmQIBgwYgMceeww9e/bE8OHDMX78eHh7e9/23MrKSgBAx44dzcciIiLg4+ODw4cPY9SoUThw4IDFAne2Ki4uhl6vx1NPPWVxXKvV4uLFi4iLi7M5zjp+fn7mmMk9sViQy7h58ybGjx8PX19fPProo4iLi0NhYSE2bdpk8bxbv6l7eHjcNjhc99hoNAKo7dLp0aOHxXNu/dZdx9vbG1u2bEFubi4OHTqE7OxspKenY9u2bejVq9cdYzaZTOafxWIxxowZg+zsbPj7+8NkMiEyMrIRGYBF3Fu3br0tTn9//ybHeWvBJPfDP31yGSdPnsTvv/+OrVu3YsaMGXj44YdRWlra4J1CPXr0wM8//2x+rFKpUFRUBADo0KEDAgICUF5ejm7duqFbt27o0qULVq9ejfPnz9/2Xj/88AM2btyIgQMHIikpCfv27UOnTp3u2NdfdwdXVVWVxfG4uDgcPXoUX331FUaPHg2JxLbvc7fu2BYaGgoPDw9UVVWZ4/b398fSpUtRUlLSqDjrVFVVoVOnTjbFQq6JxYJchp+fHzQaDQ4ePIjLly9j586d2LZtG3Q6Xb2vSUxMRHp6Ovbv34+CggIsWLAAarXa/I/v1KlT8e677+Krr75CUVERFi9ejOPHj6N79+4AgPbt2+O3337D1atX0a5dO2zcuBHbt2/H5cuXkZOTgytXrqBPnz63nbdz584ICAi4rej069cPAQEByMjIMG/GYwuZTIby8nIUFxdDLpdjwoQJePPNN3HixAkUFBRg3rx5uHDhAu6++26rcbZv3x6FhYW4du2a+f3Pnz9/x89BbkQgaqOOHTsm9OzZ0+LY+vXrhYiICKF///7CxIkThd27dws9e/YUSkpKhP/+979Cz549Bb1eb/Ga9957z/yat99+Wxg+fLjwxRdfCIIgCAaDQVi7dq0wZMgQoW/fvsLEiROF06dPm1+bk5MjPPTQQ8Ljjz8uCIIgZGZmCqNHjxb69OkjDB8+XEhPT683/qSkJGHZsmW3HV+9erUQHR0tmEwmm3NRXFwsjBw5Uujbt69QUVEhaDQaYfHixcKgQYOE8PBwYdq0aUJhYaH5+Q3F+cknnwjh4eHCiy++aD42YcIEYdeuXTbHQ66HM7jJrZ08eRKhoaG46667AAAGgwERERF47733MGjQILue+9SpU0hKSkJOTo5FN1JycjL8/f2RlJRk1/Pbqri4GE888QQOHTrESXlujAPc5Na++uor/PDDD1i8eDHat2+Pjz76CHK5HOHh4XY/98CBAxESEoIjR47gkUcewZkzZ/Dzzz8jOzsbu3fvtvv5bbV9+3Y89dRTLBRujsWC3NpLL72EJUuW4J///Ce0Wi369++PDz74wOrchpaSmpqKlJQUPPLII/j222/xwQcf4IUXXjCPiQBAWloadu3aVe97TJ482W6tkMrKSnzzzTfYuXOnXd6f2g52QxE5ucrKSty4caPe3/v4+MDf378VIyJ3xGJBRERW8dZZIiKyisWCiIisYrEgIiKrWCyIiMgqFgsiIrLq/wGzddUFYY0zoQAAAABJRU5ErkJggg==",
- "text/plain": [
- "<Figure size 432x288 with 1 Axes>"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- }
- ],
- "source": [
- "y_hat_test = reg.predict(x_test)\n",
- "plt.scatter(y_test, y_hat_test, alpha=0.2)\n",
- "plt.xlabel('Targets (y_test)', size=14)\n",
- "plt.ylabel('Predictions (y_hat_test)', size=14)\n",
- "plt.show()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 53,
- "metadata": {
- "pycharm": {
- "name": "#%%\n"
- }
- },
- "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>Predictions</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>0</th>\n",
- " <td>3.510365e+59</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>1</th>\n",
- " <td>8.885663e+54</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2</th>\n",
- " <td>1.853539e+26</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>5.029183e+18</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>4.074526e+48</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " Predictions\n",
- "0 3.510365e+59\n",
- "1 8.885663e+54\n",
- "2 1.853539e+26\n",
- "3 5.029183e+18\n",
- "4 4.074526e+48"
- ]
- },
- "execution_count": 53,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "df_pf = pd.DataFrame(np.exp(y_hat_test), columns=['Predictions'])\n",
- "df_pf.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 54,
- "metadata": {
- "pycharm": {
- "name": "#%%\n"
- }
- },
- "outputs": [
- {
- "data": {
- "text/html": [
- "<div>\n",
- "<style scoped>\n",
- " .dataframe tbody tr th:only-of-type {\n",
- " vertical-align: middle;\n",
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- " .dataframe tbody tr th {\n",
- " vertical-align: top;\n",
- " }\n",
- "\n",
- " .dataframe thead th {\n",
- " text-align: right;\n",
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- "<table border=\"1\" class=\"dataframe\">\n",
- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th></th>\n",
- " <th>Predictions</th>\n",
- " <th>Target</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>0</th>\n",
- " <td>3.510365e+59</td>\n",
- " <td>4.154590e+68</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>1</th>\n",
- " <td>8.885663e+54</td>\n",
- " <td>1.029820e+66</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2</th>\n",
- " <td>1.853539e+26</td>\n",
- " <td>1.142007e+26</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>5.029183e+18</td>\n",
- " <td>1.373383e+32</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>4.074526e+48</td>\n",
- " <td>2.388691e+50</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>5</th>\n",
- " <td>5.107470e+24</td>\n",
- " <td>3.150243e+59</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>6</th>\n",
- " <td>2.633729e+52</td>\n",
- " <td>8.223013e+36</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>7</th>\n",
- " <td>1.947696e+35</td>\n",
- " <td>6.327432e+60</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>8</th>\n",
- " <td>1.958388e+66</td>\n",
- " <td>4.216079e+101</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>9</th>\n",
- " <td>1.515681e+58</td>\n",
- " <td>4.201210e+25</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>10</th>\n",
- " <td>4.766600e+24</td>\n",
- " <td>3.584913e+09</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>11</th>\n",
- " <td>4.117172e+20</td>\n",
- " <td>5.399228e+44</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>12</th>\n",
- " <td>9.008084e+38</td>\n",
- " <td>1.651636e+38</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>13</th>\n",
- " <td>1.037098e+69</td>\n",
- " <td>1.000000e+00</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>14</th>\n",
- " <td>4.742886e+34</td>\n",
- " <td>1.000000e+00</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>15</th>\n",
- " <td>4.797696e+39</td>\n",
- " <td>1.202604e+06</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>16</th>\n",
- " <td>9.176587e+35</td>\n",
- " <td>2.451246e+40</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>17</th>\n",
- " <td>1.841167e+46</td>\n",
- " <td>8.344716e+69</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>18</th>\n",
- " <td>6.279663e+30</td>\n",
- " <td>6.398435e+17</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>19</th>\n",
- " <td>1.595112e+38</td>\n",
- " <td>1.000000e+00</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>20</th>\n",
- " <td>5.181699e+12</td>\n",
- " <td>1.041376e+23</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " Predictions Target\n",
- "0 3.510365e+59 4.154590e+68\n",
- "1 8.885663e+54 1.029820e+66\n",
- "2 1.853539e+26 1.142007e+26\n",
- "3 5.029183e+18 1.373383e+32\n",
- "4 4.074526e+48 2.388691e+50\n",
- "5 5.107470e+24 3.150243e+59\n",
- "6 2.633729e+52 8.223013e+36\n",
- "7 1.947696e+35 6.327432e+60\n",
- "8 1.958388e+66 4.216079e+101\n",
- "9 1.515681e+58 4.201210e+25\n",
- "10 4.766600e+24 3.584913e+09\n",
- "11 4.117172e+20 5.399228e+44\n",
- "12 9.008084e+38 1.651636e+38\n",
- "13 1.037098e+69 1.000000e+00\n",
- "14 4.742886e+34 1.000000e+00\n",
- "15 4.797696e+39 1.202604e+06\n",
- "16 9.176587e+35 2.451246e+40\n",
- "17 1.841167e+46 8.344716e+69\n",
- "18 6.279663e+30 6.398435e+17\n",
- "19 1.595112e+38 1.000000e+00\n",
- "20 5.181699e+12 1.041376e+23"
- ]
- },
- "execution_count": 54,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "y_test = y_test.reset_index(drop=True)\n",
- "y_test.head()\n",
- "df_pf['Target'] = np.exp(y_test)\n",
- "df_pf"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 55,
- "metadata": {
- "pycharm": {
- "name": "#%%\n"
- }
- },
- "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>Predictions</th>\n",
- " <th>Target</th>\n",
- " <th>Residuals</th>\n",
- " <th>Difference%</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>0</th>\n",
- " <td>3.510365e+59</td>\n",
- " <td>4.154590e+68</td>\n",
- " <td>4.154590e+68</td>\n",
- " <td>1.000000e+02</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>1</th>\n",
- " <td>8.885663e+54</td>\n",
- " <td>1.029820e+66</td>\n",
- " <td>1.029820e+66</td>\n",
- " <td>1.000000e+02</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2</th>\n",
- " <td>1.853539e+26</td>\n",
- " <td>1.142007e+26</td>\n",
- " <td>-7.115316e+25</td>\n",
- " <td>6.230534e+01</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>5.029183e+18</td>\n",
- " <td>1.373383e+32</td>\n",
- " <td>1.373383e+32</td>\n",
- " <td>1.000000e+02</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>4.074526e+48</td>\n",
- " <td>2.388691e+50</td>\n",
- " <td>2.347945e+50</td>\n",
- " <td>9.829424e+01</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>5</th>\n",
- " <td>5.107470e+24</td>\n",
- " <td>3.150243e+59</td>\n",
- " <td>3.150243e+59</td>\n",
- " <td>1.000000e+02</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>6</th>\n",
- " <td>2.633729e+52</td>\n",
- " <td>8.223013e+36</td>\n",
- " <td>-2.633729e+52</td>\n",
- " <td>3.202876e+17</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>7</th>\n",
- " <td>1.947696e+35</td>\n",
- " <td>6.327432e+60</td>\n",
- " <td>6.327432e+60</td>\n",
- " <td>1.000000e+02</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>8</th>\n",
- " <td>1.958388e+66</td>\n",
- " <td>4.216079e+101</td>\n",
- " <td>4.216079e+101</td>\n",
- " <td>1.000000e+02</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>9</th>\n",
- " <td>1.515681e+58</td>\n",
- " <td>4.201210e+25</td>\n",
- " <td>-1.515681e+58</td>\n",
- " <td>3.607725e+34</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>10</th>\n",
- " <td>4.766600e+24</td>\n",
- " <td>3.584913e+09</td>\n",
- " <td>-4.766600e+24</td>\n",
- " <td>1.329628e+17</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>11</th>\n",
- " <td>4.117172e+20</td>\n",
- " <td>5.399228e+44</td>\n",
- " <td>5.399228e+44</td>\n",
- " <td>1.000000e+02</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>12</th>\n",
- " <td>9.008084e+38</td>\n",
- " <td>1.651636e+38</td>\n",
- " <td>-7.356448e+38</td>\n",
- " <td>4.454036e+02</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>13</th>\n",
- " <td>1.037098e+69</td>\n",
- " <td>1.000000e+00</td>\n",
- " <td>-1.037098e+69</td>\n",
- " <td>1.037098e+71</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>14</th>\n",
- " <td>4.742886e+34</td>\n",
- " <td>1.000000e+00</td>\n",
- " <td>-4.742886e+34</td>\n",
- " <td>4.742886e+36</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>15</th>\n",
- " <td>4.797696e+39</td>\n",
- " <td>1.202604e+06</td>\n",
- " <td>-4.797696e+39</td>\n",
- " <td>3.989422e+35</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>16</th>\n",
- " <td>9.176587e+35</td>\n",
- " <td>2.451246e+40</td>\n",
- " <td>2.451154e+40</td>\n",
- " <td>9.999626e+01</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>17</th>\n",
- " <td>1.841167e+46</td>\n",
- " <td>8.344716e+69</td>\n",
- " <td>8.344716e+69</td>\n",
- " <td>1.000000e+02</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>18</th>\n",
- " <td>6.279663e+30</td>\n",
- " <td>6.398435e+17</td>\n",
- " <td>-6.279663e+30</td>\n",
- " <td>9.814373e+14</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>19</th>\n",
- " <td>1.595112e+38</td>\n",
- " <td>1.000000e+00</td>\n",
- " <td>-1.595112e+38</td>\n",
- " <td>1.595112e+40</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>20</th>\n",
- " <td>5.181699e+12</td>\n",
- " <td>1.041376e+23</td>\n",
- " <td>1.041376e+23</td>\n",
- " <td>1.000000e+02</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " Predictions Target Residuals Difference%\n",
- "0 3.510365e+59 4.154590e+68 4.154590e+68 1.000000e+02\n",
- "1 8.885663e+54 1.029820e+66 1.029820e+66 1.000000e+02\n",
- "2 1.853539e+26 1.142007e+26 -7.115316e+25 6.230534e+01\n",
- "3 5.029183e+18 1.373383e+32 1.373383e+32 1.000000e+02\n",
- "4 4.074526e+48 2.388691e+50 2.347945e+50 9.829424e+01\n",
- "5 5.107470e+24 3.150243e+59 3.150243e+59 1.000000e+02\n",
- "6 2.633729e+52 8.223013e+36 -2.633729e+52 3.202876e+17\n",
- "7 1.947696e+35 6.327432e+60 6.327432e+60 1.000000e+02\n",
- "8 1.958388e+66 4.216079e+101 4.216079e+101 1.000000e+02\n",
- "9 1.515681e+58 4.201210e+25 -1.515681e+58 3.607725e+34\n",
- "10 4.766600e+24 3.584913e+09 -4.766600e+24 1.329628e+17\n",
- "11 4.117172e+20 5.399228e+44 5.399228e+44 1.000000e+02\n",
- "12 9.008084e+38 1.651636e+38 -7.356448e+38 4.454036e+02\n",
- "13 1.037098e+69 1.000000e+00 -1.037098e+69 1.037098e+71\n",
- "14 4.742886e+34 1.000000e+00 -4.742886e+34 4.742886e+36\n",
- "15 4.797696e+39 1.202604e+06 -4.797696e+39 3.989422e+35\n",
- "16 9.176587e+35 2.451246e+40 2.451154e+40 9.999626e+01\n",
- "17 1.841167e+46 8.344716e+69 8.344716e+69 1.000000e+02\n",
- "18 6.279663e+30 6.398435e+17 -6.279663e+30 9.814373e+14\n",
- "19 1.595112e+38 1.000000e+00 -1.595112e+38 1.595112e+40\n",
- "20 5.181699e+12 1.041376e+23 1.041376e+23 1.000000e+02"
- ]
- },
- "execution_count": 55,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "df_pf['Residuals'] = df_pf['Target'] - df_pf['Predictions']\n",
- "df_pf['Difference%'] = np.absolute(df_pf['Residuals']/df_pf['Target']*100)\n",
- "df_pf"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 56,
- "metadata": {
- "pycharm": {
- "name": "#%%\n"
- }
- },
- "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>Predictions</th>\n",
- " <th>Target</th>\n",
- " <th>Residuals</th>\n",
- " <th>Difference%</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>count</th>\n",
- " <td>2.100000e+01</td>\n",
- " <td>2.100000e+01</td>\n",
- " <td>2.100000e+01</td>\n",
- " <td>2.100000e+01</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>mean</th>\n",
- " <td>4.947887e+67</td>\n",
- " <td>2.007657e+100</td>\n",
- " <td>2.007657e+100</td>\n",
- " <td>4.938562e+69</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>std</th>\n",
- " <td>2.262924e+68</td>\n",
- " <td>9.200239e+100</td>\n",
- " <td>9.200239e+100</td>\n",
- " <td>2.263133e+70</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>min</th>\n",
- " <td>5.181699e+12</td>\n",
- " <td>1.000000e+00</td>\n",
- " <td>-1.037098e+69</td>\n",
- " <td>6.230534e+01</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>25%</th>\n",
- " <td>1.853539e+26</td>\n",
- " <td>6.398435e+17</td>\n",
- " <td>-1.595112e+38</td>\n",
- " <td>1.000000e+02</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>50%</th>\n",
- " <td>1.595112e+38</td>\n",
- " <td>8.223013e+36</td>\n",
- " <td>1.041376e+23</td>\n",
- " <td>1.000000e+02</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>75%</th>\n",
- " <td>2.633729e+52</td>\n",
- " <td>3.150243e+59</td>\n",
- " <td>3.150243e+59</td>\n",
- " <td>3.202876e+17</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>max</th>\n",
- " <td>1.037098e+69</td>\n",
- " <td>4.216079e+101</td>\n",
- " <td>4.216079e+101</td>\n",
- " <td>1.037098e+71</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " Predictions Target Residuals Difference%\n",
- "count 2.100000e+01 2.100000e+01 2.100000e+01 2.100000e+01\n",
- "mean 4.947887e+67 2.007657e+100 2.007657e+100 4.938562e+69\n",
- "std 2.262924e+68 9.200239e+100 9.200239e+100 2.263133e+70\n",
- "min 5.181699e+12 1.000000e+00 -1.037098e+69 6.230534e+01\n",
- "25% 1.853539e+26 6.398435e+17 -1.595112e+38 1.000000e+02\n",
- "50% 1.595112e+38 8.223013e+36 1.041376e+23 1.000000e+02\n",
- "75% 2.633729e+52 3.150243e+59 3.150243e+59 3.202876e+17\n",
- "max 1.037098e+69 4.216079e+101 4.216079e+101 1.037098e+71"
- ]
- },
- "execution_count": 56,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "df_pf.describe()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 57,
- "metadata": {
- "pycharm": {
- "name": "#%%\n"
- }
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "0.004075369033738174"
- ]
- },
- "execution_count": 57,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "reg.score(x_test,y_test,)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 58,
- "metadata": {
- "pycharm": {
- "name": "#%%\n"
- }
- },
- "outputs": [],
- "source": [
- "logistic_model = LogisticRegression(random_state=0, C=1e8)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 59,
- "metadata": {},
- "outputs": [],
- "source": [
- "result = logistic_model.fit(x_train,y_train)\n",
- "prediction_test = logistic_model.predict(x_test)\n",
- "prediction_train = logistic_model.predict(x_train)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 60,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Accuracy auf dem Testdatensatz: 0.09523809523809523\n"
- ]
- }
- ],
- "source": [
- "acc = metrics.accuracy_score(y_test, prediction_test)\n",
- "print('Accuracy auf dem Testdatensatz: {}'.format(acc))"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 61,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Trainingsdaten:\n",
- " precision recall f1-score support\n",
- "\n",
- " 0.0 1.00 1.00 1.00 11\n",
- " 1.0 1.00 1.00 1.00 1\n",
- " 2.0 1.00 1.00 1.00 2\n",
- " 3.0 1.00 1.00 1.00 1\n",
- " 5.0 1.00 1.00 1.00 1\n",
- " 6.0 1.00 1.00 1.00 2\n",
- " 11.0 1.00 1.00 1.00 1\n",
- " 12.0 1.00 1.00 1.00 1\n",
- " 13.0 1.00 1.00 1.00 1\n",
- " 14.0 1.00 1.00 1.00 1\n",
- " 17.0 1.00 1.00 1.00 1\n",
- " 20.0 1.00 1.00 1.00 1\n",
- " 24.0 1.00 1.00 1.00 1\n",
- " 29.0 1.00 1.00 1.00 1\n",
- " 33.0 1.00 1.00 1.00 1\n",
- " 36.0 1.00 1.00 1.00 1\n",
- " 37.0 1.00 1.00 1.00 1\n",
- " 38.0 1.00 1.00 1.00 2\n",
- " 44.0 1.00 1.00 1.00 1\n",
- " 48.0 1.00 1.00 1.00 2\n",
- " 54.0 1.00 1.00 1.00 1\n",
- " 58.0 1.00 1.00 1.00 1\n",
- " 61.0 1.00 1.00 1.00 1\n",
- " 62.0 1.00 1.00 1.00 1\n",
- " 67.0 1.00 1.00 1.00 1\n",
- " 69.0 1.00 1.00 1.00 1\n",
- " 76.0 1.00 1.00 1.00 1\n",
- " 78.0 1.00 1.00 1.00 1\n",
- " 81.0 1.00 1.00 1.00 1\n",
- " 86.0 1.00 1.00 1.00 1\n",
- " 91.0 1.00 1.00 1.00 2\n",
- " 93.0 1.00 1.00 1.00 2\n",
- " 96.0 1.00 1.00 1.00 1\n",
- " 97.0 1.00 1.00 1.00 1\n",
- " 98.0 1.00 1.00 1.00 1\n",
- " 99.0 1.00 1.00 1.00 1\n",
- " 103.0 1.00 1.00 1.00 1\n",
- " 110.0 1.00 1.00 1.00 1\n",
- " 121.0 1.00 1.00 1.00 1\n",
- " 131.0 1.00 1.00 1.00 1\n",
- " 132.0 1.00 1.00 1.00 1\n",
- " 137.0 1.00 1.00 1.00 2\n",
- " 138.0 1.00 1.00 1.00 1\n",
- " 142.0 1.00 1.00 1.00 1\n",
- " 143.0 1.00 1.00 1.00 1\n",
- " 144.0 1.00 1.00 1.00 1\n",
- " 148.0 1.00 1.00 1.00 2\n",
- " 149.0 1.00 1.00 1.00 1\n",
- " 159.0 1.00 1.00 1.00 1\n",
- " 164.0 1.00 1.00 1.00 1\n",
- " 166.0 1.00 1.00 1.00 1\n",
- " 169.0 1.00 1.00 1.00 1\n",
- " 174.0 1.00 1.00 1.00 1\n",
- " 200.0 1.00 1.00 1.00 1\n",
- " 201.0 1.00 1.00 1.00 1\n",
- " 208.0 1.00 1.00 1.00 2\n",
- " 214.0 1.00 1.00 1.00 1\n",
- " 227.0 1.00 1.00 1.00 1\n",
- " 240.0 1.00 1.00 1.00 1\n",
- " 254.0 1.00 1.00 1.00 1\n",
- " 314.0 1.00 1.00 1.00 1\n",
- " 321.0 1.00 1.00 1.00 1\n",
- " 344.0 1.00 1.00 1.00 1\n",
- "\n",
- " accuracy 1.00 82\n",
- " macro avg 1.00 1.00 1.00 82\n",
- "weighted avg 1.00 1.00 1.00 82\n",
- "\n",
- "Testdaten:\n",
- " precision recall f1-score support\n",
- "\n",
- " 0.0 0.50 0.33 0.40 3\n",
- " 6.0 0.00 0.00 0.00 0\n",
- " 12.0 0.00 0.00 0.00 0\n",
- " 14.0 0.00 0.00 0.00 1\n",
- " 17.0 0.00 0.00 0.00 0\n",
- " 22.0 0.00 0.00 0.00 1\n",
- " 38.0 0.00 0.00 0.00 0\n",
- " 41.0 0.00 0.00 0.00 1\n",
- " 44.0 0.00 0.00 0.00 0\n",
- " 53.0 0.00 0.00 0.00 1\n",
- " 54.0 0.00 0.00 0.00 0\n",
- " 59.0 0.00 0.00 0.00 1\n",
- " 60.0 0.00 0.00 0.00 1\n",
- " 61.0 0.00 0.00 0.00 0\n",
- " 74.0 0.00 0.00 0.00 1\n",
- " 81.0 0.00 0.00 0.00 0\n",
- " 85.0 0.00 0.00 0.00 1\n",
- " 88.0 0.00 0.00 0.00 1\n",
- " 91.0 0.00 0.00 0.00 0\n",
- " 93.0 0.50 1.00 0.67 1\n",
- " 96.0 0.00 0.00 0.00 0\n",
- " 97.0 0.00 0.00 0.00 0\n",
- " 103.0 0.00 0.00 0.00 1\n",
- " 110.0 0.00 0.00 0.00 0\n",
- " 116.0 0.00 0.00 0.00 1\n",
- " 131.0 0.00 0.00 0.00 0\n",
- " 137.0 0.00 0.00 0.00 1\n",
- " 140.0 0.00 0.00 0.00 1\n",
- " 148.0 0.00 0.00 0.00 0\n",
- " 152.0 0.00 0.00 0.00 1\n",
- " 158.0 0.00 0.00 0.00 1\n",
- " 161.0 0.00 0.00 0.00 1\n",
- " 208.0 0.00 0.00 0.00 0\n",
- " 234.0 0.00 0.00 0.00 1\n",
- "\n",
- " accuracy 0.10 21\n",
- " macro avg 0.03 0.04 0.03 21\n",
- "weighted avg 0.10 0.10 0.09 21\n",
- "\n"
- ]
- }
- ],
- "source": [
- "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": 62,
- "metadata": {},
- "outputs": [],
- "source": [
- "cm = confusion_matrix(y_test,prediction_test)\n",
- "df_cm = pd.DataFrame(cm, index=[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34], columns=[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34],)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 63,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "Text(0.5, 39.5, 'Predicted label')"
- ]
- },
- "execution_count": 63,
- "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": [
- "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')"
- ]
- }
- ],
- "metadata": {
- "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": "3.8.12"
- }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
--
GitLab