diff --git a/tutorial_page.Rmd b/tutorial_page.Rmd
index 6308785e2a0a0e2d73ab4c5f40d58c85b61bc10f..93ea3b5da2c1b7e111b2b139fda29a0370080014 100644
--- a/tutorial_page.Rmd
+++ b/tutorial_page.Rmd
@@ -200,18 +200,123 @@ quiz(
 
 ## Datenanalyse
 
+In diesem Teil wird beschrieben, wie man verschiedene Daten mit Funktionen ermitteln kann.\
+Hierfuer sollte man sich die Daten erneut anschauen.\
+Fuer diesen Teil ist es wichtig zu wissen, wie man auf eine Spalte zugreifen kann. Dies macht man in dem man die Variable in dem der Datensatz gespeichert ist (hier gameData) angibt und den Spaltennamen in entweder zwei eckigen Klammern oder hinter einem $ Zeichen definiert.\
+Die Syntax waere dann beispielsweise:\
+```data[["column"]])``` oder ```data$column```, bzw. ```data$"spaced column name"```\
+\
+Die Tabelle unten zeigt alle Daten aus dem Datensatz. Mit den Pfeilen in der oberen Reihe kann man die durch die Spalten schalten.
+```{r dataset-tale}
+head(gameData)
+```
+\
+
 ### Mittelwert
 
+Der Mittelwert bestimmt den Durchschnitt aller gegebenen Werte. Die Rechnung dafuer ist:\
+$(x_{1} + x_{2} + \cdots + x_{n}) / x$\
+\
+Um den Mittelwert einer Spalte zu bestimmen, vewendet man die 'mean()' Funktion verwenden. In diese setzt man die Variable in der die Daten gespeichert sind (gameData) und gibt die gewuenschte Spalte an.\
+\
+Bestimmen Sie den Mittelwert von "Play Time".
+```{r mean, exercise=TRUE}
+```
+
+Sie sollten hier den Wert 99.884 bekommen.
+\
+
 ### Median
 
+Der Median ist der Mittelpunkt aller gegebenen Werte.\
+\
+Der Median wird durch die 'median()' Funktion bestimmt.\
+Da das schreiben von ```gameData[["Play Time"]]``` etwas dauert, kann man ab hier die Variable 'ptime' verwenden.\
+Bestimmen Sie den Median von "Play Time".
+```{r median, exercise=TRUE}
+ptime <- gameData[["Play Time"]]
+```
+
+Sie sollten hier den Wert 90 bekommen.
+\
+
 ### Varianz
 
+Die Varianz bestimmt die Verteilung um den Mittelwert.\
+\
+Die Varianz wird durch die 'var()' Funktion bestimmt.\
+Bestimmen sie die Varianz von "Play Time".
+```{r variance, exercise=TRUE}
+ptime <- gameData$"Play Time"
+```
+
+Sie sollten hier den Wert 6070.055 bekommen.
+\
+
 ### Standardabweichung
 
+Die Standardabweichung bestimmt die Wurzel Verteilung um den Mittelwert.\
+\
+Die Varianz wird durch die 'sd()' Funktion bestimmt.\
+Bestimmen sie die Standardabweichung von "Play Time".
+```{r standard-deviation, exercise=TRUE}
+ptime <- gameData$"Play Time"
+```
+
+Sie sollten hier den Wert 77.91056 bekommen.
+\
+
 ### Lineare Regression
 
+Die Lineare Regression bestimmt das Verhaeltnis zwischen zwei Werten(-sets).\
+\
+Die Varianz wird durch die 'lm()' Funktion bestimmt Hier uebergibt man Daten welche mit einem Tilde-Symbol (~) verbunden sind, also beispielsweise ```lm(x~y)```.\
+Bestimmen sie die Lineare Regression mit "Users Rated" im Verhaeltnis zu "Owned Users".
+```{r linear-regression, exercise=TRUE}
+raters <- gameData$"Users Rated"
+owned <- gameData$"Owned Users"
+```
+
+Falls man etwas mehr information will, kann man die Eingabe (oder die Variale in welche man dies gespeichert hat) noch in die ```summary()``` Funktion schreiben.\
+Weiterhin kann man dies auf ein Plot abbilden. Dazu verwendet man die ```plot()``` Funktion in welche man einen x und y Wert eingibt, zusammen mit Optionen wie das Plot aussehen soll. Mehr information dazu findet man [in der Dokumentation](https://www.rdocumentation.org/packages/graphics/versions/3.6.2/topics/plot).\
+Mit ```abline()``` kann man die Regressionslinie der lm Funktion abbilden. Dazu wird die lm Funktion, oder die Variable in der diese gespeichert ist, an ```abline()``` uebergeben.
+```{r lm-plot-example}
+raters <- gameData$"Users Rated"
+owned <- gameData$"Owned Users"
+x = lm(raters~owned, data = gameData)
+plot(raters, owned, pch = 16, col = "blue")
+abline(x)
+```
+
+Versuchen Sie nun den oben gezeigten Plot selbst zu erstellen. Die Farbe und Parameter sind bereits vorgegeben.
+```{r lm-plot, exercise=TRUE, exercise.lines=5}
+raters <- gameData$"Users Rated"
+owned <- gameData$"Owned Users"
+x = lm()
+plot(, , pch = 16, col = "blue")
+
+```
+
+Mithilfe der Linearen Regression kann man nun die Hypothesen entweder beweisen oder widerlegen.
+\
+
 ### Hypothesentest
 
+```{r hypothesis-quiz}
+quiz(
+  question("Spiele mit hoeherem Complexity Score haben eine niedrigere Anzahl von Owned Users.",
+    answer("Wahr", correct = TRUE),
+    answer("Falsch")
+  ),
+  question("Spiele mit hoeherem Complexity haben hoehere Play Time.",
+    answer("Wahr", correct = TRUE),
+    answer("Falsch")
+  )
+)
+```
+
+
+
 ## Ergebnispräsentation
 
 ### Streudiagramm
diff --git a/tutorial_page.html b/tutorial_page.html
index b9b19357ff29e883fed5d1d39f0aaffefc233b12..95c6ebcdd540d45779a8a06d363e7682a45c8e1a 100644
--- a/tutorial_page.html
+++ b/tutorial_page.html
@@ -14,7 +14,7 @@
 <meta name="allow-skip" content="false" />
 <meta name="learnr-version-prerender" content="0.11.5" />
 
-<title>Tutorial</title>
+<title>Data Science Tutorial</title>
 
 <!-- header-includes START -->
 <!-- HEAD_CONTENT -->
@@ -109,91 +109,448 @@ if (window.hljs) {
 
 <article class="topics" id="learnr-tutorial-content">
 
-<div id="section-topic-1" class="section level2">
-<h2>Topic 1</h2>
-<div id="section-exercise" class="section level3">
-<h3>Exercise</h3>
-<p><em>Here’s a simple exercise with an empty code chunk provided for
-entering the answer.</em></p>
-<p>Write the R code required to add two plus two:</p>
-<div class="tutorial-exercise" data-label="two-plus-two"
+<div id="section-datenbasis" class="section level2">
+<h2>Datenbasis</h2>
+<div id="section-datenherkunft" class="section level3">
+<h3>Datenherkunft</h3>
+<p>In diesem Praktikum verwenden wir das Dataset “Board Games Analysis
+🎲🎲🎯”. Die Daten wurden ursprünglich aus der BoardGameGeek-Datenbank
+extrahiert und anschließend auf Kaggle hochgeladen, wo sie zu einem
+Datensatz zusammengeführt wurden.</p>
+<p>Link zum Notebook auf Kaggle: <a
+href="https://www.kaggle.com/code/karnikakapoor/board-games-analysis"
+class="uri">https://www.kaggle.com/code/karnikakapoor/board-games-analysis</a><br />
+Link zum Datensatz auf Kaggle: <a
+href="https://www.kaggle.com/code/karnikakapoor/board-games-analysis/input"
+class="uri">https://www.kaggle.com/code/karnikakapoor/board-games-analysis/input</a></p>
+</div>
+<div id="section-inhalt" class="section level3">
+<h3>Inhalt</h3>
+<p>Der Datensatz umfasst 20.343 Einträge und enthält verschiedene
+Informationen zu Brettspielen. Hier sind die Spalten und ihre jeweiligen
+Inhalte:</p>
+<p><strong>ID</strong>: Eine eindeutige Identifikationsnummer für jedes
+Brettspiel im Datensatz.<em>(Integer)</em><br />
+<strong>Name:</strong> Der Name des Brettspiels.<em>(String)</em><br />
+<strong>Year:</strong> Das Jahr, in dem das Brettspiel veröffentlicht
+wurde.<em>(Integer)</em><br />
+<strong>Published:</strong> Informationen über die Veröffentlichung des
+Spiels.<em>(Integer)</em><br />
+<strong>Min Players:</strong> Die minimale Anzahl von Spielern, die das
+Spiel spielen können.<em>(Integer)</em><br />
+<strong>Max Players:</strong> Die maximale Anzahl von Spielern, die das
+Spiel unterstützt.<em>(Integer)</em><br />
+<strong>Play Time:</strong> Die durchschnittliche Spielzeit des
+Brettspiels.<em>(Integer)</em><br />
+<strong>Min Age:</strong> Die empfohlene minimale Altersgruppe für
+Spieler des Spiels.<em>(Integer)</em><br />
+<strong>Users Rated:</strong> Die Anzahl der Benutzer, die das Spiel
+bewertet haben.<em>(Double)</em><br />
+<strong>Rating Average:</strong> Der durchschnittliche Bewertungswert
+des Spiels durch Benutzer.<em>(Double)</em><br />
+<strong>BGG Rank:</strong> Die Rangposition des Spiels auf
+BoardGameGeek.<em>(Integer)</em><br />
+<strong>Complexity Average:</strong> Der durchschnittliche
+Schwierigkeitsgrad des Spiels.<em>(Double)</em><br />
+<strong>Owned Users:</strong> Die Anzahl der Benutzer, die das Spiel
+besitzen.<em>(Integer)</em><br />
+<strong>Mechanics:</strong> Informationen über die Spielmechanismen, die
+im Brettspiel verwendet werden.<em>(String)</em><br />
+<strong>Domains:</strong> Die Domänen oder Kategorien, zu denen das
+Brettspiel gehört.<em>(String)</em><br />
+</p>
+<p>Diese Spalten bieten eine breite Palette von Informationen über die
+charakteristischen Merkmale, Bewertungen und Eigenschaften der
+aufgeführten Brettspiele im Datensatz. Die Daten können für Analysen und
+Erkenntnisse im Bereich der Brettspielindustrie sowie für die
+Beurteilung von Präferenzen und Trends unter den Spielern verwendet
+werden.</p>
+</div>
+<div id="section-hypothesen" class="section level3">
+<h3>Hypothesen</h3>
+<p>Wir formulieren zwei Hypothesen, die wir im “Datenanalyse”-Abschnitt
+testen werden.</p>
+<p><strong>Hypothese 1:</strong> Spiele mit höheren Complexity Score
+haben niedriger anzahl von Owned Users.</p>
+<p><strong>Hypothese 2:</strong> Spiele mit höheren Complexity Score
+haben höhere Play Time.</p>
+</div>
+</div>
+<div id="section-datenaufbereitung" class="section level2">
+<h2>Datenaufbereitung</h2>
+<div id="section-einlesen-von-daten" class="section level3">
+<h3>Einlesen von Daten</h3>
+<p>Um Datensätze mit R zu analysieren, mussen diese zuerst eingelesen
+werden. Je nach Struktur des Datenfiles kommen verschiedene
+Einlese-Befehle zur Anwendung. Es können u.a. Textfiles (.txt, .dat),
+Datenfiles (.csv) und Excel-Files eingelesen werden.</p>
+<div id="section-xlsx-dateien-in-r-importieren" class="section level4">
+<h4>XLSX-Dateien in R importieren</h4>
+<p>In diesem Tutorial benutzen wir eine .xlsx Datei, die wir einlesen
+müssen. XLSX-Dateien lassen sich aus Excel heraus speichern und sind
+heutzutage weit verbreitet. Wir lesen hier die Datei “bgg_dataset.xlsx”
+mit dem Befehl read_excel in den Dataframe data_xlsx ein.</p>
+<p>Für diese Aufgabe bietet sich das readxl-Paket an, das am einfachsten
+mit den folgenden Befehlen installiert und geladen wird:</p>
+<div class="tutorial-exercise" data-label="install-readxl"
+data-completion="1" data-diagnostics="1" data-startover="1"
+data-lines="0" data-pipe="|&gt;">
+<pre class="text"><code>install.packages(&quot;readxl&quot;)
+library (readxl)</code></pre>
+<script type="application/json" data-ui-opts="1">{"engine":"r","has_checker":false,"caption":"<span data-i18n=\"text.enginecap\" data-i18n-opts=\"{&quot;engine&quot;:&quot;R&quot;}\">R Code<\/span>"}</script>
+</div>
+<p>Wie du sehen kannst, ist der Package schonmal installiert und wird
+verwendet, deswegen lässt R nicht zu, dass es wieder installiert
+wird.</p>
+<p>Wir können unser Datensatz einlesen:</p>
+<div class="tutorial-exercise" data-label="read-data"
+data-completion="1" data-diagnostics="1" data-startover="1"
+data-lines="0" data-pipe="|&gt;">
+<pre class="text"><code>gameData &lt;- read_excel(&quot;bgg_dataset.xlsx&quot;, sheet = &quot;Sheet&quot;)</code></pre>
+<script type="application/json" data-ui-opts="1">{"engine":"r","has_checker":false,"caption":"<span data-i18n=\"text.enginecap\" data-i18n-opts=\"{&quot;engine&quot;:&quot;R&quot;}\">R Code<\/span>"}</script>
+</div>
+<p>Leider funktioniert diese Funktion in diesem Dokument nicht, aber
+keine Sorge, wir haben Sie im Hintergrund genauso wie hier benutzt.</p>
+<p>Wir können jetzt unsere Daten benutzen:</p>
+<div class="tutorial-exercise" data-label="show-data"
+data-completion="1" data-diagnostics="1" data-startover="1"
+data-lines="0" data-pipe="|&gt;">
+<pre class="text"><code>gameData</code></pre>
+<script type="application/json" data-ui-opts="1">{"engine":"r","has_checker":false,"caption":"<span data-i18n=\"text.enginecap\" data-i18n-opts=\"{&quot;engine&quot;:&quot;R&quot;}\">R Code<\/span>"}</script>
+</div>
+<p>Nur eine Spalte aus dem Datensatz lässt sich wie folgt lesen:</p>
+<div class="tutorial-exercise" data-label="read-column"
+data-completion="1" data-diagnostics="1" data-startover="1"
+data-lines="0" data-pipe="|&gt;">
+<pre class="text"><code>gameData$`Year Published`</code></pre>
+<script type="application/json" data-ui-opts="1">{"engine":"r","has_checker":false,"caption":"<span data-i18n=\"text.enginecap\" data-i18n-opts=\"{&quot;engine&quot;:&quot;R&quot;}\">R Code<\/span>"}</script>
+</div>
+<p>You can swap <code>Year Published</code> with every column if the set
+and try it out!</p>
+<p>Wie du weitere Dateientypen einlesen und benutzen kannst, findest du
+in diesem <a
+href="https://bjoernwalther.com/daten-in-r-importieren/">Tutorial von
+Björn Walther</a>.</p>
+</div>
+</div>
+<div id="section-leerstellen-beheben" class="section level3">
+<h3>Leerstellen beheben</h3>
+<p>Das Beheben von Leerstellen in R Studio erfordert spezifische
+Schritte, die je nach Art der Daten und der Art der Probleme variieren
+können.</p>
+<div id="section-in-einer-bestimmten-spalte" class="section level4">
+<h4>In einer bestimmten Spalte:</h4>
+<div class="tutorial-exercise" data-label="remove-empties-column"
+data-completion="1" data-diagnostics="1" data-startover="1"
+data-lines="0" data-pipe="|&gt;">
+<pre class="text"><code>gameData$`Year Published` &lt;- trimws(gameData$`Year Published`)
+gameData$`Year Published`</code></pre>
+<script type="application/json" data-ui-opts="1">{"engine":"r","has_checker":false,"caption":"<span data-i18n=\"text.enginecap\" data-i18n-opts=\"{&quot;engine&quot;:&quot;R&quot;}\">R Code<\/span>"}</script>
+</div>
+</div>
+<div id="section-in-allen-spalten" class="section level4">
+<h4>In allen Spalten:</h4>
+<div class="tutorial-exercise" data-label="remove-empties"
+data-completion="1" data-diagnostics="1" data-startover="1"
+data-lines="0" data-pipe="|&gt;">
+<pre class="text"><code>gameData &lt;- lapply(gameData, trimws)
+gameData</code></pre>
+<script type="application/json" data-ui-opts="1">{"engine":"r","has_checker":false,"caption":"<span data-i18n=\"text.enginecap\" data-i18n-opts=\"{&quot;engine&quot;:&quot;R&quot;}\">R Code<\/span>"}</script>
+</div>
+<p>In unserem Dataset scheint alles gut zu sein, deswegen haben wir
+keine Änderungen nach Ausführung den Befehlen.</p>
+</div>
+</div>
+<div id="section-inkonsistenzen-beheben" class="section level3">
+<h3>Inkonsistenzen beheben</h3>
+<p>Das Beheben von Leerstellen in R Studio erfordert spezifische
+Schritte, die je nach Art der Daten und der Art der Probleme variieren
+können.</p>
+<div id="section-standardisierung-der-schreibweise"
+class="section level4">
+<h4>Standardisierung der Schreibweise:</h4>
+<div class="tutorial-exercise" data-label="to-lowercase-column"
+data-completion="1" data-diagnostics="1" data-startover="1"
+data-lines="0" data-pipe="|&gt;">
+<pre class="text"><code>gameData$`Mechanics` &lt;- tolower(gameData$`Mechanics`)
+gameData$`Mechanics`</code></pre>
+<script type="application/json" data-ui-opts="1">{"engine":"r","has_checker":false,"caption":"<span data-i18n=\"text.enginecap\" data-i18n-opts=\"{&quot;engine&quot;:&quot;R&quot;}\">R Code<\/span>"}</script>
+</div>
+<p>Somit wurden alle String in der “Mechanics”-Spalte zur Lowercase
+gecastet.</p>
+</div>
+<div id="section-ersetzen-von-werten" class="section level4">
+<h4>Ersetzen von Werten:</h4>
+<div class="tutorial-exercise" data-label="replace-variable"
 data-completion="1" data-diagnostics="1" data-startover="1"
 data-lines="0" data-pipe="|&gt;">
+<pre class="text"><code>gameData$`Mechanics` &lt;- gsub(&quot;Action&quot;, &quot;ACTION&quot;, gameData$`Mechanics`)
+gameData$`Mechanics`</code></pre>
 <script type="application/json" data-ui-opts="1">{"engine":"r","has_checker":false,"caption":"<span data-i18n=\"text.enginecap\" data-i18n-opts=\"{&quot;engine&quot;:&quot;R&quot;}\">R Code<\/span>"}</script>
 </div>
+<p>Somit haben wir alle “Action” Strings mit “ACTION” ersetzt.</p>
 </div>
-<div id="section-exercise-with-code" class="section level3">
-<h3>Exercise with Code</h3>
-<p><em>Here’s an exercise with some prepopulated code as well as
-<code>exercise.lines = 5</code> to provide a bit more initial room to
-work.</em></p>
-<p>Now write a function that adds any two numbers and then call it:</p>
-<div class="tutorial-exercise" data-label="add-function"
+<div id="section-behandlung-von-fehlenden-werten"
+class="section level4">
+<h4>Behandlung von fehlenden Werten:</h4>
+<div class="tutorial-exercise" data-label="replace-missing-variable"
 data-completion="1" data-diagnostics="1" data-startover="1"
-data-lines="5" data-pipe="|&gt;">
-<pre class="text"><code>add &lt;- function() {
-  
-}</code></pre>
+data-lines="0" data-pipe="|&gt;">
+<pre class="text"><code>gameData$`Rating Average`[is.na(gameData$`Rating Average`)] &lt;- mean(gameData$`Rating Average`, na.rm = TRUE)</code></pre>
 <script type="application/json" data-ui-opts="1">{"engine":"r","has_checker":false,"caption":"<span data-i18n=\"text.enginecap\" data-i18n-opts=\"{&quot;engine&quot;:&quot;R&quot;}\">R Code<\/span>"}</script>
 </div>
+<p>Dieser Befehl ersetzt fehlende Werte durch der Median der vorhandenen
+Werten in der Spalte.</p>
 </div>
+<div id="section-entfernen-von-duplikaten" class="section level4">
+<h4>Entfernen von Duplikaten</h4>
+<div class="tutorial-exercise" data-label="remove-duplicates"
+data-completion="1" data-diagnostics="1" data-startover="1"
+data-lines="0" data-pipe="|&gt;">
+<pre class="text"><code>gameData &lt;- unique(gameData)</code></pre>
+<script type="application/json" data-ui-opts="1">{"engine":"r","has_checker":false,"caption":"<span data-i18n=\"text.enginecap\" data-i18n-opts=\"{&quot;engine&quot;:&quot;R&quot;}\">R Code<\/span>"}</script>
+</div>
+<p>Dieser Befehl entfernt Duplikaten basierend auf allen Spalten. Wir
+haben aber in unserem Datensatz keine Duplikaten.</p>
 </div>
-<div id="section-topic-2" class="section level2">
-<h2>Topic 2</h2>
-<div id="section-exercise-with-hint" class="section level3">
-<h3>Exercise with Hint</h3>
-<p><em>Here’s an exercise where the chunk is pre-evaluated via the
-<code>exercise.eval</code> option (so the user can see the default
-output we’d like them to customize). We also add a “hint” to the correct
-solution via the chunk immediate below labeled
-<code>print-limit-hint</code>.</em></p>
-<p>Modify the following code to limit the number of rows printed to
-5:</p>
-<div class="tutorial-exercise" data-label="print-limit"
+<div id="section-behandlung-von-sonderzeichen" class="section level4">
+<h4>Behandlung von Sonderzeichen</h4>
+<div class="tutorial-exercise" data-label="replace-special-chars"
 data-completion="1" data-diagnostics="1" data-startover="1"
 data-lines="0" data-pipe="|&gt;">
-<pre class="text"><code>mtcars</code></pre>
+<pre class="text"><code>gameData$`Mechanics` &lt;- gsub(&quot;[^a-zA-Z0-9 ]&quot;, &quot;&quot;, gameData$`Mechanics`)</code></pre>
+<script type="application/json" data-ui-opts="1">{"engine":"r","has_checker":false,"caption":"<span data-i18n=\"text.enginecap\" data-i18n-opts=\"{&quot;engine&quot;:&quot;R&quot;}\">R Code<\/span>"}</script>
+</div>
+<p>Dieser Befehl entfernt Sonderzeichen in der Spalte “Mechanics”.</p>
+<p>Diese Beispiele sind allgemeiner Natur, und Sie sollten sie an Ihre
+spezifischen Daten und Probleme anpassen. Inkonsistenzen und Leerstellen
+können in verschiedenen Formen auftreten, und es ist wichtig, die
+geeigneten Methoden für Ihre speziellen Daten anzuwenden. Beachten Sie
+auch, dass Datenbereinigung oft datenabhängig ist, und eine gründliche
+Analyse der Daten ist vor der Bereinigung ratsam.</p>
+</div>
+</div>
+<div
+id="section-jetzt-bist-du-dran-teste-was-du-in-diesem-abschnitt-über-daten-einlesen-gelernt-hast"
+class="section level3">
+<h3>Jetzt bist du dran! Teste was du in diesem Abschnitt über Daten
+einlesen gelernt hast:</h3>
+<div class="panel-heading tutorial-quiz-title"><span data-i18n="text.quiz">Quiz</span></div>
+<div class="panel panel-default tutorial-question-container">
+<div data-label="second-quiz-1" class="tutorial-question panel-body">
+<div id="second-quiz-1-answer_container" class="shiny-html-output"></div>
+<div id="second-quiz-1-message_container" class="shiny-html-output"></div>
+<div id="second-quiz-1-action_button_container" class="shiny-html-output"></div>
+<script>if (Tutorial.triggerMathJax) Tutorial.triggerMathJax()</script>
+</div>
+</div>
+<div class="panel panel-default tutorial-question-container">
+<div data-label="second-quiz-2" class="tutorial-question panel-body">
+<div id="second-quiz-2-answer_container" class="shiny-html-output"></div>
+<div id="second-quiz-2-message_container" class="shiny-html-output"></div>
+<div id="second-quiz-2-action_button_container" class="shiny-html-output"></div>
+<script>if (Tutorial.triggerMathJax) Tutorial.triggerMathJax()</script>
+</div>
+</div>
+<div class="panel panel-default tutorial-question-container">
+<div data-label="second-quiz-3" class="tutorial-question panel-body">
+<div id="second-quiz-3-answer_container" class="shiny-html-output"></div>
+<div id="second-quiz-3-message_container" class="shiny-html-output"></div>
+<div id="second-quiz-3-action_button_container" class="shiny-html-output"></div>
+<script>if (Tutorial.triggerMathJax) Tutorial.triggerMathJax()</script>
+</div>
+</div>
+<div class="panel panel-default tutorial-question-container">
+<div data-label="second-quiz-4" class="tutorial-question panel-body">
+<div id="second-quiz-4-answer_container" class="shiny-html-output"></div>
+<div id="second-quiz-4-message_container" class="shiny-html-output"></div>
+<div id="second-quiz-4-action_button_container" class="shiny-html-output"></div>
+<script>if (Tutorial.triggerMathJax) Tutorial.triggerMathJax()</script>
+</div>
+</div>
+</div>
+</div>
+<div id="section-datenanalyse" class="section level2">
+<h2>Datenanalyse</h2>
+In diesem Teil wird beschrieben, wie man verschiedene Daten mit
+Funktionen ermitteln kann.<br />
+Hierfuer sollte man sich die Daten erneut anschauen.<br />
+Fuer diesen Teil ist es wichtig zu wissen, wie man auf eine Spalte
+zugreifen kann. Dies macht man in dem man die Variable in dem der
+Datensatz gespeichert ist (hier gameData) angibt und den Spaltennamen in
+entweder zwei eckigen Klammern oder hinter einem $ Zeichen
+definiert.<br />
+Die Syntax waere dann beispielsweise:<br />
+<code>data[["column"]])</code> oder <code>data$column</code>, bzw.
+<code>data$"spaced column name"</code><br />
+<br />
+Die Tabelle unten zeigt alle Daten aus dem Datensatz. Mit den Pfeilen in
+der oberen Reihe kann man die durch die Spalten schalten.
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+{"columns":[{"label":["ID"],"name":[1],"type":["dbl"],"align":["right"]},{"label":["Name"],"name":[2],"type":["chr"],"align":["left"]},{"label":["Year Published"],"name":[3],"type":["dbl"],"align":["right"]},{"label":["Min Players"],"name":[4],"type":["dbl"],"align":["right"]},{"label":["Max Players"],"name":[5],"type":["dbl"],"align":["right"]},{"label":["Play Time"],"name":[6],"type":["dbl"],"align":["right"]},{"label":["Min Age"],"name":[7],"type":["dbl"],"align":["right"]},{"label":["Users Rated"],"name":[8],"type":["dbl"],"align":["right"]},{"label":["Rating Average"],"name":[9],"type":["dbl"],"align":["right"]},{"label":["BGG Rank"],"name":[10],"type":["dbl"],"align":["right"]},{"label":["Complexity Average"],"name":[11],"type":["dbl"],"align":["right"]},{"label":["Owned Users"],"name":[12],"type":["dbl"],"align":["right"]},{"label":["Mechanics"],"name":[13],"type":["chr"],"align":["left"]},{"label":["Domains"],"name":[14],"type":["chr"],"align":["left"]}],"data":[{"1":"174430","2":"Gloomhaven","3":"2017","4":"1","5":"4","6":"120","7":"14","8":"42055","9":"8.79","10":"1","11":"3.86","12":"68323","13":"Action Queue, Action Retrieval, Campaign / Battle Card Driven, Card Play Conflict Resolution, Communication Limits, Cooperative Game, Deck Construction, Deck Bag and Pool Building, Grid Movement, Hand Management, Hexagon Grid, Legacy Game, Modular Board, Once-Per-Game Abilities, Scenario / Mission / Campaign Game, Simultaneous Action Selection, Solo / Solitaire Game, Storytelling, Variable Player Powers","14":"Strategy Games, Thematic Games"},{"1":"161936","2":"Pandemic Legacy: Season 1","3":"2015","4":"2","5":"4","6":"60","7":"13","8":"41643","9":"8.61","10":"2","11":"2.84","12":"65294","13":"Action Points, Cooperative Game, Hand Management, Legacy Game, Point to Point Movement, Set Collection, Trading, Variable Player Powers","14":"Strategy Games, Thematic Games"},{"1":"224517","2":"Brass: Birmingham","3":"2018","4":"2","5":"4","6":"120","7":"14","8":"19217","9":"8.66","10":"3","11":"3.91","12":"28785","13":"Hand Management, Income, Loans, Market, Network and Route Building, Score-and-Reset Game, Tech Trees / Tech Tracks, Turn Order: Stat-Based, Variable Set-up","14":"Strategy Games"},{"1":"167791","2":"Terraforming Mars","3":"2016","4":"1","5":"5","6":"120","7":"12","8":"64864","9":"8.43","10":"4","11":"3.24","12":"87099","13":"Card Drafting, Drafting, End Game Bonuses, Hand Management, Hexagon Grid, Income, Set Collection, Solo / Solitaire Game, Take That, Tile Placement, Turn Order: Progressive, Variable Player Powers","14":"Strategy Games"},{"1":"233078","2":"Twilight Imperium: Fourth Edition","3":"2017","4":"3","5":"6","6":"480","7":"14","8":"13468","9":"8.70","10":"5","11":"4.22","12":"16831","13":"Action Drafting, Area Majority / Influence, Area-Impulse, Dice Rolling, Follow, Grid Movement, Hexagon Grid, Modular Board, Trading, Variable Phase Order, Variable Player Powers, Voting","14":"Strategy Games, Thematic Games"},{"1":"291457","2":"Gloomhaven: Jaws of the Lion","3":"2020","4":"1","5":"4","6":"120","7":"14","8":"8392","9":"8.87","10":"6","11":"3.55","12":"21609","13":"Action Queue, Campaign / Battle Card Driven, Communication Limits, Cooperative Game, Critical Hits and Failures, Deck Construction, Grid Movement, Hand Management, Hexagon Grid, Legacy Game, Line of Sight, Once-Per-Game Abilities, Scenario / Mission / Campaign Game, Simultaneous Action Selection, Solo / Solitaire Game, Variable Player Powers","14":"Strategy Games, Thematic Games"}],"options":{"columns":{"min":{},"max":[10]},"rows":{"min":[10],"max":[10]},"pages":{}}}
   </script>
 </div>
+<p><br />
+</p>
+<div id="section-mittelwert" class="section level3">
+<h3>Mittelwert</h3>
+Der Mittelwert bestimmt den Durchschnitt aller gegebenen Werte. Die
+Rechnung dafuer ist:<br />
+<span class="math inline">\((x_{1} + x_{2} + \cdots + x_{n}) /
+x\)</span><br />
+<br />
+Um den Mittelwert einer Spalte zu bestimmen, vewendet man die ‘mean()’
+Funktion verwenden. In diese setzt man die Variable in der die Daten
+gespeichert sind (gameData) und gibt die gewuenschte Spalte an.<br />
+<br />
+Bestimmen Sie den Mittelwert von “Play Time”.
+<div class="tutorial-exercise" data-label="mean" data-completion="1"
+data-diagnostics="1" data-startover="1" data-lines="0"
+data-pipe="|&gt;">
+<script type="application/json" data-ui-opts="1">{"engine":"r","has_checker":false,"caption":"<span data-i18n=\"text.enginecap\" data-i18n-opts=\"{&quot;engine&quot;:&quot;R&quot;}\">R Code<\/span>"}</script>
+</div>
+<p>Sie sollten hier den Wert 99.884 bekommen.<br />
+</p>
+</div>
+<div id="section-median" class="section level3">
+<h3>Median</h3>
+Der Median ist der Mittelpunkt aller gegebenen Werte.<br />
+<br />
+Der Median wird durch die ‘median()’ Funktion bestimmt.<br />
+Da das schreiben von <code>gameData[["Play Time"]]</code> etwas dauert,
+kann man ab hier die Variable ‘ptime’ verwenden.<br />
+Bestimmen Sie den Median von “Play Time”.
+<div class="tutorial-exercise" data-label="median" data-completion="1"
+data-diagnostics="1" data-startover="1" data-lines="0"
+data-pipe="|&gt;">
+<pre class="text"><code>ptime &lt;- gameData[[&quot;Play Time&quot;]]</code></pre>
+<script type="application/json" data-ui-opts="1">{"engine":"r","has_checker":false,"caption":"<span data-i18n=\"text.enginecap\" data-i18n-opts=\"{&quot;engine&quot;:&quot;R&quot;}\">R Code<\/span>"}</script>
+</div>
+<p>Sie sollten hier den Wert 90 bekommen.<br />
+</p>
+</div>
+<div id="section-varianz" class="section level3">
+<h3>Varianz</h3>
+Die Varianz bestimmt die Verteilung um den Mittelwert.<br />
+<br />
+Die Varianz wird durch die ‘var()’ Funktion bestimmt.<br />
+Bestimmen sie die Varianz von “Play Time”.
+<div class="tutorial-exercise" data-label="variance" data-completion="1"
+data-diagnostics="1" data-startover="1" data-lines="0"
+data-pipe="|&gt;">
+<pre class="text"><code>ptime &lt;- gameData$&quot;Play Time&quot;</code></pre>
+<script type="application/json" data-ui-opts="1">{"engine":"r","has_checker":false,"caption":"<span data-i18n=\"text.enginecap\" data-i18n-opts=\"{&quot;engine&quot;:&quot;R&quot;}\">R Code<\/span>"}</script>
+</div>
+<p>Sie sollten hier den Wert 6070.055 bekommen.<br />
+</p>
+</div>
+<div id="section-standardabweichung" class="section level3">
+<h3>Standardabweichung</h3>
+Die Standardabweichung bestimmt die Wurzel Verteilung um den
+Mittelwert.<br />
+<br />
+Die Varianz wird durch die ‘sd()’ Funktion bestimmt.<br />
+Bestimmen sie die Standardabweichung von “Play Time”.
+<div class="tutorial-exercise" data-label="standard-deviation"
+data-completion="1" data-diagnostics="1" data-startover="1"
+data-lines="0" data-pipe="|&gt;">
+<pre class="text"><code>ptime &lt;- gameData$&quot;Play Time&quot;</code></pre>
 <script type="application/json" data-ui-opts="1">{"engine":"r","has_checker":false,"caption":"<span data-i18n=\"text.enginecap\" data-i18n-opts=\"{&quot;engine&quot;:&quot;R&quot;}\">R Code<\/span>"}</script>
 </div>
-<div class="tutorial-exercise-support" data-label="print-limit-hint"
+<p>Sie sollten hier den Wert 77.91056 bekommen.<br />
+</p>
+</div>
+<div id="section-lineare-regression" class="section level3">
+<h3>Lineare Regression</h3>
+Die Lineare Regression bestimmt das Verhaeltnis zwischen zwei
+Werten(-sets).<br />
+<br />
+Die Varianz wird durch die ‘lm()’ Funktion bestimmt Hier uebergibt man
+Daten welche mit einem Tilde-Symbol (~) verbunden sind, also
+beispielsweise <code>lm(x~y)</code>.<br />
+Bestimmen sie die Lineare Regression mit “Users Rated” im Verhaeltnis zu
+“Owned Users”.
+<div class="tutorial-exercise" data-label="linear-regression"
 data-completion="1" data-diagnostics="1" data-startover="1"
 data-lines="0" data-pipe="|&gt;">
-<pre class="text"><code>head(mtcars)</code></pre>
+<pre class="text"><code>raters &lt;- gameData$&quot;Users Rated&quot;
+owned &lt;- gameData$&quot;Owned Users&quot;</code></pre>
+<script type="application/json" data-ui-opts="1">{"engine":"r","has_checker":false,"caption":"<span data-i18n=\"text.enginecap\" data-i18n-opts=\"{&quot;engine&quot;:&quot;R&quot;}\">R Code<\/span>"}</script>
+</div>
+<p>Falls man etwas mehr information will, kann man die Eingabe (oder die
+Variale in welche man dies gespeichert hat) noch in die
+<code>summary()</code> Funktion schreiben.<br />
+Weiterhin kann man dies auf ein Plot abbilden. Dazu verwendet man die
+<code>plot()</code> Funktion in welche man einen x und y Wert eingibt,
+zusammen mit Optionen wie das Plot aussehen soll. Mehr information dazu
+findet man <a
+href="https://www.rdocumentation.org/packages/graphics/versions/3.6.2/topics/plot">in
+der Dokumentation</a>.<br />
+Mit <code>abline()</code> kann man die Regressionslinie der lm Funktion
+abbilden. Dazu wird die lm Funktion, oder die Variable in der diese
+gespeichert ist, an <code>abline()</code> uebergeben.
+<img src="tutorial_page_files/figure-html/lm-plot-example-1.png" width="624" /></p>
+Versuchen Sie nun den oben gezeigten Plot selbst zu erstellen. Die Farbe
+und Parameter sind bereits vorgegeben.
+<div class="tutorial-exercise" data-label="lm-plot" data-completion="1"
+data-diagnostics="1" data-startover="1" data-lines="5"
+data-pipe="|&gt;">
+<pre class="text"><code>raters &lt;- gameData$&quot;Users Rated&quot;
+owned &lt;- gameData$&quot;Owned Users&quot;
+x = lm()
+plot(, , pch = 16, col = &quot;blue&quot;)</code></pre>
+<script type="application/json" data-ui-opts="1">{"engine":"r","has_checker":false,"caption":"<span data-i18n=\"text.enginecap\" data-i18n-opts=\"{&quot;engine&quot;:&quot;R&quot;}\">R Code<\/span>"}</script>
 </div>
+<p>Mithilfe der Linearen Regression kann man nun die Hypothesen entweder
+beweisen oder widerlegen.<br />
+</p>
 </div>
-<div id="section-quiz" class="section level3">
-<h3>Quiz</h3>
-<p><em>You can include any number of single or multiple choice questions
-as a quiz. Use the <code>question</code> function to define a question
-and the <code>quiz</code> function for grouping multiple questions
-together.</em></p>
-<p>Some questions to verify that you understand the purposes of various
-base and recommended R packages:</p>
+<div id="section-hypothesentest" class="section level3">
+<h3>Hypothesentest</h3>
 <div class="panel-heading tutorial-quiz-title"><span data-i18n="text.quiz">Quiz</span></div>
 <div class="panel panel-default tutorial-question-container">
-<div data-label="quiz-1" class="tutorial-question panel-body">
-<div id="quiz-1-answer_container" class="shiny-html-output"></div>
-<div id="quiz-1-message_container" class="shiny-html-output"></div>
-<div id="quiz-1-action_button_container" class="shiny-html-output"></div>
+<div data-label="hypothesis-quiz-1" class="tutorial-question panel-body">
+<div id="hypothesis-quiz-1-answer_container" class="shiny-html-output"></div>
+<div id="hypothesis-quiz-1-message_container" class="shiny-html-output"></div>
+<div id="hypothesis-quiz-1-action_button_container" class="shiny-html-output"></div>
 <script>if (Tutorial.triggerMathJax) Tutorial.triggerMathJax()</script>
 </div>
 </div>
 <div class="panel panel-default tutorial-question-container">
-<div data-label="quiz-2" class="tutorial-question panel-body">
-<div id="quiz-2-answer_container" class="shiny-html-output"></div>
-<div id="quiz-2-message_container" class="shiny-html-output"></div>
-<div id="quiz-2-action_button_container" class="shiny-html-output"></div>
+<div data-label="hypothesis-quiz-2" class="tutorial-question panel-body">
+<div id="hypothesis-quiz-2-answer_container" class="shiny-html-output"></div>
+<div id="hypothesis-quiz-2-message_container" class="shiny-html-output"></div>
+<div id="hypothesis-quiz-2-action_button_container" class="shiny-html-output"></div>
 <script>if (Tutorial.triggerMathJax) Tutorial.triggerMathJax()</script>
 </div>
 </div>
+</div>
+</div>
+<div id="section-ergebnispräsentation" class="section level2">
+<h2>Ergebnispräsentation</h2>
+<div id="section-streudiagramm" class="section level3">
+<h3>Streudiagramm</h3>
+</div>
+<div id="section-kein-plan" class="section level3">
+<h3>Kein Plan</h3>
+</div>
+</div>
+<div id="section-teaminfos" class="section level2">
+<h2>Teaminfos</h2>
+<div id="section-nikolay-nikolaev" class="section level3">
+<h3>Nikolay Nikolaev</h3>
+</div>
+<div id="section-maximilian-fronmüller" class="section level3">
+<h3>Maximilian Fronmüller</h3>
+</div>
+<div id="section-lino-cortese" class="section level3">
+<h3>Lino Cortese</h3>
 <p>
 <script type="application/shiny-prerendered" data-context="server-start">
 library(learnr)
+library(readxl)
+gameData <- read_excel("bgg_dataset.xlsx", sheet = "Sheet")
 knitr::opts_chunk$set(echo = FALSE)
 </script>
  
@@ -218,18 +575,20 @@ session$onSessionEnded(function() {
 </script>
  
 <script type="application/shiny-prerendered" data-context="server">
-`tutorial-exercise-two-plus-two-result` <- learnr:::setup_exercise_handler(reactive(req(input$`tutorial-exercise-two-plus-two-code-editor`)), session)
-output$`tutorial-exercise-two-plus-two-output` <- renderUI({
-  `tutorial-exercise-two-plus-two-result`()
+`tutorial-exercise-install-readxl-result` <- learnr:::setup_exercise_handler(reactive(req(input$`tutorial-exercise-install-readxl-code-editor`)), session)
+output$`tutorial-exercise-install-readxl-output` <- renderUI({
+  `tutorial-exercise-install-readxl-result`()
 })
 </script>
 
 
 <script type="application/shiny-prerendered" data-context="server">
-learnr:::store_exercise_cache(structure(list(label = "two-plus-two", global_setup = structure(c("library(learnr)", 
+learnr:::store_exercise_cache(structure(list(label = "install-readxl", global_setup = structure(c("library(learnr)", 
+"library(readxl)", "gameData <- read_excel(\"bgg_dataset.xlsx\", sheet = \"Sheet\")", 
 "knitr::opts_chunk$set(echo = FALSE)"), chunk_opts = list(label = "setup", 
-    include = FALSE)), setup = NULL, chunks = list(list(label = "two-plus-two", 
-    code = "", opts = list(label = "\"two-plus-two\"", exercise = "TRUE"), 
+    include = FALSE)), setup = NULL, chunks = list(list(label = "install-readxl", 
+    code = "install.packages(\"readxl\")\nlibrary (readxl)", 
+    opts = list(label = "\"install-readxl\"", exercise = "TRUE"), 
     engine = "r")), code_check = NULL, error_check = NULL, check = NULL, 
     solution = NULL, tests = NULL, options = list(eval = FALSE, 
         echo = TRUE, results = "markup", tidy = FALSE, tidy.opts = NULL, 
@@ -247,36 +606,38 @@ learnr:::store_exercise_cache(structure(list(label = "two-plus-two", global_setu
         aniopts = "controls,loop", warning = TRUE, error = FALSE, 
         message = TRUE, render = NULL, ref.label = NULL, child = NULL, 
         engine = "r", split = FALSE, include = TRUE, purl = TRUE, 
-        max.print = 1000, label = "two-plus-two", exercise = TRUE, 
-        code = "", out.width.px = 624, out.height.px = 384, params.src = "two-plus-two, exercise=TRUE", 
-        fig.num = 0L, exercise.df_print = "paged", exercise.checker = "NULL"), 
+        max.print = 1000, label = "install-readxl", exercise = TRUE, 
+        code = c("install.packages(\"readxl\")", "library (readxl)"
+        ), out.width.px = 624, out.height.px = 384, params.src = "install-readxl, exercise=TRUE", 
+        fig.num = 0, exercise.df_print = "paged", exercise.checker = "NULL"), 
     engine = "r", version = "4"), class = c("r", "tutorial_exercise"
 )))
 </script>
  
 <script type="application/shiny-prerendered" data-context="server">
-`tutorial-exercise-add-function-result` <- learnr:::setup_exercise_handler(reactive(req(input$`tutorial-exercise-add-function-code-editor`)), session)
-output$`tutorial-exercise-add-function-output` <- renderUI({
-  `tutorial-exercise-add-function-result`()
+`tutorial-exercise-read-data-result` <- learnr:::setup_exercise_handler(reactive(req(input$`tutorial-exercise-read-data-code-editor`)), session)
+output$`tutorial-exercise-read-data-output` <- renderUI({
+  `tutorial-exercise-read-data-result`()
 })
 </script>
 
 
 <script type="application/shiny-prerendered" data-context="server">
-learnr:::store_exercise_cache(structure(list(label = "add-function", global_setup = structure(c("library(learnr)", 
+learnr:::store_exercise_cache(structure(list(label = "read-data", global_setup = structure(c("library(learnr)", 
+"library(readxl)", "gameData <- read_excel(\"bgg_dataset.xlsx\", sheet = \"Sheet\")", 
 "knitr::opts_chunk$set(echo = FALSE)"), chunk_opts = list(label = "setup", 
-    include = FALSE)), setup = NULL, chunks = list(list(label = "add-function", 
-    code = "add <- function() {\n  \n}", opts = list(label = "\"add-function\"", 
-        exercise = "TRUE", exercise.lines = "5"), engine = "r")), 
-    code_check = NULL, error_check = NULL, check = NULL, solution = NULL, 
-    tests = NULL, options = list(eval = FALSE, echo = TRUE, results = "markup", 
-        tidy = FALSE, tidy.opts = NULL, collapse = FALSE, prompt = FALSE, 
-        comment = NA, highlight = FALSE, size = "normalsize", 
-        background = "#F7F7F7", strip.white = TRUE, cache = 0, 
-        cache.path = "tutorial_page_cache/html/", cache.vars = NULL, 
-        cache.lazy = TRUE, dependson = NULL, autodep = FALSE, 
-        cache.rebuild = FALSE, fig.keep = "high", fig.show = "asis", 
-        fig.align = "default", fig.path = "tutorial_page_files/figure-html/", 
+    include = FALSE)), setup = NULL, chunks = list(list(label = "read-data", 
+    code = "gameData <- read_excel(\"bgg_dataset.xlsx\", sheet = \"Sheet\")", 
+    opts = list(label = "\"read-data\"", exercise = "TRUE"), 
+    engine = "r")), code_check = NULL, error_check = NULL, check = NULL, 
+    solution = NULL, tests = NULL, options = list(eval = FALSE, 
+        echo = TRUE, results = "markup", tidy = FALSE, tidy.opts = NULL, 
+        collapse = FALSE, prompt = FALSE, comment = NA, highlight = FALSE, 
+        size = "normalsize", background = "#F7F7F7", strip.white = TRUE, 
+        cache = 0, cache.path = "tutorial_page_cache/html/", 
+        cache.vars = NULL, cache.lazy = TRUE, dependson = NULL, 
+        autodep = FALSE, cache.rebuild = FALSE, fig.keep = "high", 
+        fig.show = "asis", fig.align = "default", fig.path = "tutorial_page_files/figure-html/", 
         dev = "png", dev.args = NULL, dpi = 192, fig.ext = "png", 
         fig.width = 6.5, fig.height = 4, fig.env = "figure", 
         fig.cap = NULL, fig.scap = NULL, fig.lp = "fig:", fig.subcap = NULL, 
@@ -285,30 +646,70 @@ learnr:::store_exercise_cache(structure(list(label = "add-function", global_setu
         aniopts = "controls,loop", warning = TRUE, error = FALSE, 
         message = TRUE, render = NULL, ref.label = NULL, child = NULL, 
         engine = "r", split = FALSE, include = TRUE, purl = TRUE, 
-        max.print = 1000, label = "add-function", exercise = TRUE, 
-        exercise.lines = 5, code = c("add <- function() {", "  ", 
-        "}"), out.width.px = 624, out.height.px = 384, params.src = "add-function, exercise=TRUE, exercise.lines = 5", 
+        max.print = 1000, label = "read-data", exercise = TRUE, 
+        code = "gameData <- read_excel(\"bgg_dataset.xlsx\", sheet = \"Sheet\")", 
+        out.width.px = 624, out.height.px = 384, params.src = "read-data, exercise=TRUE", 
         fig.num = 0, exercise.df_print = "paged", exercise.checker = "NULL"), 
     engine = "r", version = "4"), class = c("r", "tutorial_exercise"
 )))
 </script>
  
 <script type="application/shiny-prerendered" data-context="server">
-`tutorial-exercise-print-limit-result` <- learnr:::setup_exercise_handler(reactive(req(input$`tutorial-exercise-print-limit-code-editor`)), session)
-output$`tutorial-exercise-print-limit-output` <- renderUI({
-  `tutorial-exercise-print-limit-result`()
+`tutorial-exercise-show-data-result` <- learnr:::setup_exercise_handler(reactive(req(input$`tutorial-exercise-show-data-code-editor`)), session)
+output$`tutorial-exercise-show-data-output` <- renderUI({
+  `tutorial-exercise-show-data-result`()
+})
+</script>
+
+
+<script type="application/shiny-prerendered" data-context="server">
+learnr:::store_exercise_cache(structure(list(label = "show-data", global_setup = structure(c("library(learnr)", 
+"library(readxl)", "gameData <- read_excel(\"bgg_dataset.xlsx\", sheet = \"Sheet\")", 
+"knitr::opts_chunk$set(echo = FALSE)"), chunk_opts = list(label = "setup", 
+    include = FALSE)), setup = NULL, chunks = list(list(label = "show-data", 
+    code = "gameData", opts = list(label = "\"show-data\"", exercise = "TRUE"), 
+    engine = "r")), code_check = NULL, error_check = NULL, check = NULL, 
+    solution = NULL, tests = NULL, options = list(eval = FALSE, 
+        echo = TRUE, results = "markup", tidy = FALSE, tidy.opts = NULL, 
+        collapse = FALSE, prompt = FALSE, comment = NA, highlight = FALSE, 
+        size = "normalsize", background = "#F7F7F7", strip.white = TRUE, 
+        cache = 0, cache.path = "tutorial_page_cache/html/", 
+        cache.vars = NULL, cache.lazy = TRUE, dependson = NULL, 
+        autodep = FALSE, cache.rebuild = FALSE, fig.keep = "high", 
+        fig.show = "asis", fig.align = "default", fig.path = "tutorial_page_files/figure-html/", 
+        dev = "png", dev.args = NULL, dpi = 192, fig.ext = "png", 
+        fig.width = 6.5, fig.height = 4, fig.env = "figure", 
+        fig.cap = NULL, fig.scap = NULL, fig.lp = "fig:", fig.subcap = NULL, 
+        fig.pos = "", out.width = 624, out.height = NULL, out.extra = NULL, 
+        fig.retina = 2, external = TRUE, sanitize = FALSE, interval = 1, 
+        aniopts = "controls,loop", warning = TRUE, error = FALSE, 
+        message = TRUE, render = NULL, ref.label = NULL, child = NULL, 
+        engine = "r", split = FALSE, include = TRUE, purl = TRUE, 
+        max.print = 1000, label = "show-data", exercise = TRUE, 
+        code = "gameData", out.width.px = 624, out.height.px = 384, 
+        params.src = "show-data, exercise=TRUE", fig.num = 0, 
+        exercise.df_print = "paged", exercise.checker = "NULL"), 
+    engine = "r", version = "4"), class = c("r", "tutorial_exercise"
+)))
+</script>
+ 
+<script type="application/shiny-prerendered" data-context="server">
+`tutorial-exercise-read-column-result` <- learnr:::setup_exercise_handler(reactive(req(input$`tutorial-exercise-read-column-code-editor`)), session)
+output$`tutorial-exercise-read-column-output` <- renderUI({
+  `tutorial-exercise-read-column-result`()
 })
 </script>
 
 
 <script type="application/shiny-prerendered" data-context="server">
-learnr:::store_exercise_cache(structure(list(label = "print-limit", global_setup = structure(c("library(learnr)", 
+learnr:::store_exercise_cache(structure(list(label = "read-column", global_setup = structure(c("library(learnr)", 
+"library(readxl)", "gameData <- read_excel(\"bgg_dataset.xlsx\", sheet = \"Sheet\")", 
 "knitr::opts_chunk$set(echo = FALSE)"), chunk_opts = list(label = "setup", 
-    include = FALSE)), setup = NULL, chunks = list(list(label = "print-limit", 
-    code = "mtcars", opts = list(label = "\"print-limit\"", exercise = "TRUE", 
-        exercise.eval = "TRUE"), engine = "r")), code_check = NULL, 
+    include = FALSE)), setup = NULL, chunks = list(list(label = "read-column", 
+    code = "gameData$`Year Published`", opts = list(label = "\"read-column\"", 
+        exercise = "TRUE"), engine = "r")), code_check = NULL, 
     error_check = NULL, check = NULL, solution = NULL, tests = NULL, 
-    options = list(eval = TRUE, echo = TRUE, results = "markup", 
+    options = list(eval = FALSE, echo = TRUE, results = "markup", 
         tidy = FALSE, tidy.opts = NULL, collapse = FALSE, prompt = FALSE, 
         comment = NA, highlight = FALSE, size = "normalsize", 
         background = "#F7F7F7", strip.white = TRUE, cache = 0, 
@@ -324,75 +725,705 @@ learnr:::store_exercise_cache(structure(list(label = "print-limit", global_setup
         aniopts = "controls,loop", warning = TRUE, error = FALSE, 
         message = TRUE, render = NULL, ref.label = NULL, child = NULL, 
         engine = "r", split = FALSE, include = TRUE, purl = TRUE, 
-        max.print = 1000, label = "print-limit", exercise = TRUE, 
-        exercise.eval = TRUE, code = "mtcars", out.width.px = 624, 
-        out.height.px = 384, params.src = "print-limit, exercise=TRUE, exercise.eval=TRUE", 
-        fig.alt = NULL, fig.num = 0, exercise.df_print = "paged", 
-        exercise.checker = "NULL"), engine = "r", version = "4"), class = c("r", 
-"tutorial_exercise")))
+        max.print = 1000, label = "read-column", exercise = TRUE, 
+        code = "gameData$`Year Published`", out.width.px = 624, 
+        out.height.px = 384, params.src = "read-column, exercise=TRUE", 
+        fig.num = 0, exercise.df_print = "paged", exercise.checker = "NULL"), 
+    engine = "r", version = "4"), class = c("r", "tutorial_exercise"
+)))
+</script>
+ 
+<script type="application/shiny-prerendered" data-context="server">
+`tutorial-exercise-remove-empties-column-result` <- learnr:::setup_exercise_handler(reactive(req(input$`tutorial-exercise-remove-empties-column-code-editor`)), session)
+output$`tutorial-exercise-remove-empties-column-output` <- renderUI({
+  `tutorial-exercise-remove-empties-column-result`()
+})
+</script>
+
+
+<script type="application/shiny-prerendered" data-context="server">
+learnr:::store_exercise_cache(structure(list(label = "remove-empties-column", global_setup = structure(c("library(learnr)", 
+"library(readxl)", "gameData <- read_excel(\"bgg_dataset.xlsx\", sheet = \"Sheet\")", 
+"knitr::opts_chunk$set(echo = FALSE)"), chunk_opts = list(label = "setup", 
+    include = FALSE)), setup = NULL, chunks = list(list(label = "remove-empties-column", 
+    code = "gameData$`Year Published` <- trimws(gameData$`Year Published`)\ngameData$`Year Published`", 
+    opts = list(label = "\"remove-empties-column\"", exercise = "TRUE"), 
+    engine = "r")), code_check = NULL, error_check = NULL, check = NULL, 
+    solution = NULL, tests = NULL, options = list(eval = FALSE, 
+        echo = TRUE, results = "markup", tidy = FALSE, tidy.opts = NULL, 
+        collapse = FALSE, prompt = FALSE, comment = NA, highlight = FALSE, 
+        size = "normalsize", background = "#F7F7F7", strip.white = TRUE, 
+        cache = 0, cache.path = "tutorial_page_cache/html/", 
+        cache.vars = NULL, cache.lazy = TRUE, dependson = NULL, 
+        autodep = FALSE, cache.rebuild = FALSE, fig.keep = "high", 
+        fig.show = "asis", fig.align = "default", fig.path = "tutorial_page_files/figure-html/", 
+        dev = "png", dev.args = NULL, dpi = 192, fig.ext = "png", 
+        fig.width = 6.5, fig.height = 4, fig.env = "figure", 
+        fig.cap = NULL, fig.scap = NULL, fig.lp = "fig:", fig.subcap = NULL, 
+        fig.pos = "", out.width = 624, out.height = NULL, out.extra = NULL, 
+        fig.retina = 2, external = TRUE, sanitize = FALSE, interval = 1, 
+        aniopts = "controls,loop", warning = TRUE, error = FALSE, 
+        message = TRUE, render = NULL, ref.label = NULL, child = NULL, 
+        engine = "r", split = FALSE, include = TRUE, purl = TRUE, 
+        max.print = 1000, label = "remove-empties-column", exercise = TRUE, 
+        code = c("gameData$`Year Published` <- trimws(gameData$`Year Published`)", 
+        "gameData$`Year Published`"), out.width.px = 624, out.height.px = 384, 
+        params.src = "remove-empties-column, exercise=TRUE", 
+        fig.num = 0, exercise.df_print = "paged", exercise.checker = "NULL"), 
+    engine = "r", version = "4"), class = c("r", "tutorial_exercise"
+)))
+</script>
+ 
+<script type="application/shiny-prerendered" data-context="server">
+`tutorial-exercise-remove-empties-result` <- learnr:::setup_exercise_handler(reactive(req(input$`tutorial-exercise-remove-empties-code-editor`)), session)
+output$`tutorial-exercise-remove-empties-output` <- renderUI({
+  `tutorial-exercise-remove-empties-result`()
+})
+</script>
+
+
+<script type="application/shiny-prerendered" data-context="server">
+learnr:::store_exercise_cache(structure(list(label = "remove-empties", global_setup = structure(c("library(learnr)", 
+"library(readxl)", "gameData <- read_excel(\"bgg_dataset.xlsx\", sheet = \"Sheet\")", 
+"knitr::opts_chunk$set(echo = FALSE)"), chunk_opts = list(label = "setup", 
+    include = FALSE)), setup = NULL, chunks = list(list(label = "remove-empties", 
+    code = "gameData <- lapply(gameData, trimws)\ngameData", 
+    opts = list(label = "\"remove-empties\"", exercise = "TRUE"), 
+    engine = "r")), code_check = NULL, error_check = NULL, check = NULL, 
+    solution = NULL, tests = NULL, options = list(eval = FALSE, 
+        echo = TRUE, results = "markup", tidy = FALSE, tidy.opts = NULL, 
+        collapse = FALSE, prompt = FALSE, comment = NA, highlight = FALSE, 
+        size = "normalsize", background = "#F7F7F7", strip.white = TRUE, 
+        cache = 0, cache.path = "tutorial_page_cache/html/", 
+        cache.vars = NULL, cache.lazy = TRUE, dependson = NULL, 
+        autodep = FALSE, cache.rebuild = FALSE, fig.keep = "high", 
+        fig.show = "asis", fig.align = "default", fig.path = "tutorial_page_files/figure-html/", 
+        dev = "png", dev.args = NULL, dpi = 192, fig.ext = "png", 
+        fig.width = 6.5, fig.height = 4, fig.env = "figure", 
+        fig.cap = NULL, fig.scap = NULL, fig.lp = "fig:", fig.subcap = NULL, 
+        fig.pos = "", out.width = 624, out.height = NULL, out.extra = NULL, 
+        fig.retina = 2, external = TRUE, sanitize = FALSE, interval = 1, 
+        aniopts = "controls,loop", warning = TRUE, error = FALSE, 
+        message = TRUE, render = NULL, ref.label = NULL, child = NULL, 
+        engine = "r", split = FALSE, include = TRUE, purl = TRUE, 
+        max.print = 1000, label = "remove-empties", exercise = TRUE, 
+        code = c("gameData <- lapply(gameData, trimws)", "gameData"
+        ), out.width.px = 624, out.height.px = 384, params.src = "remove-empties, exercise=TRUE", 
+        fig.num = 0, exercise.df_print = "paged", exercise.checker = "NULL"), 
+    engine = "r", version = "4"), class = c("r", "tutorial_exercise"
+)))
+</script>
+ 
+<script type="application/shiny-prerendered" data-context="server">
+`tutorial-exercise-to-lowercase-column-result` <- learnr:::setup_exercise_handler(reactive(req(input$`tutorial-exercise-to-lowercase-column-code-editor`)), session)
+output$`tutorial-exercise-to-lowercase-column-output` <- renderUI({
+  `tutorial-exercise-to-lowercase-column-result`()
+})
+</script>
+
+
+<script type="application/shiny-prerendered" data-context="server">
+learnr:::store_exercise_cache(structure(list(label = "to-lowercase-column", global_setup = structure(c("library(learnr)", 
+"library(readxl)", "gameData <- read_excel(\"bgg_dataset.xlsx\", sheet = \"Sheet\")", 
+"knitr::opts_chunk$set(echo = FALSE)"), chunk_opts = list(label = "setup", 
+    include = FALSE)), setup = NULL, chunks = list(list(label = "to-lowercase-column", 
+    code = "gameData$`Mechanics` <- tolower(gameData$`Mechanics`)\ngameData$`Mechanics`", 
+    opts = list(label = "\"to-lowercase-column\"", exercise = "TRUE"), 
+    engine = "r")), code_check = NULL, error_check = NULL, check = NULL, 
+    solution = NULL, tests = NULL, options = list(eval = FALSE, 
+        echo = TRUE, results = "markup", tidy = FALSE, tidy.opts = NULL, 
+        collapse = FALSE, prompt = FALSE, comment = NA, highlight = FALSE, 
+        size = "normalsize", background = "#F7F7F7", strip.white = TRUE, 
+        cache = 0, cache.path = "tutorial_page_cache/html/", 
+        cache.vars = NULL, cache.lazy = TRUE, dependson = NULL, 
+        autodep = FALSE, cache.rebuild = FALSE, fig.keep = "high", 
+        fig.show = "asis", fig.align = "default", fig.path = "tutorial_page_files/figure-html/", 
+        dev = "png", dev.args = NULL, dpi = 192, fig.ext = "png", 
+        fig.width = 6.5, fig.height = 4, fig.env = "figure", 
+        fig.cap = NULL, fig.scap = NULL, fig.lp = "fig:", fig.subcap = NULL, 
+        fig.pos = "", out.width = 624, out.height = NULL, out.extra = NULL, 
+        fig.retina = 2, external = TRUE, sanitize = FALSE, interval = 1, 
+        aniopts = "controls,loop", warning = TRUE, error = FALSE, 
+        message = TRUE, render = NULL, ref.label = NULL, child = NULL, 
+        engine = "r", split = FALSE, include = TRUE, purl = TRUE, 
+        max.print = 1000, label = "to-lowercase-column", exercise = TRUE, 
+        code = c("gameData$`Mechanics` <- tolower(gameData$`Mechanics`)", 
+        "gameData$`Mechanics`"), out.width.px = 624, out.height.px = 384, 
+        params.src = "to-lowercase-column, exercise=TRUE", fig.num = 0, 
+        exercise.df_print = "paged", exercise.checker = "NULL"), 
+    engine = "r", version = "4"), class = c("r", "tutorial_exercise"
+)))
 </script>
  
 <script type="application/shiny-prerendered" data-context="server">
-learnr:::question_prerendered_chunk(structure(list(type = "learnr_radio", label = "quiz-1", question = structure("Which package contains functions for installing other R packages?", html = TRUE, class = c("html", 
-"character")), answers = list(structure(list(id = "lnr_ans_4fdf23c", 
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-    "character")), correct = FALSE, message = NULL, type = "literal"), class = c("tutorial_question_answer", 
-"tutorial_quiz_answer")), structure(list(id = "lnr_ans_2e0655d", 
-    option = "tools", value = "tools", label = structure("tools", html = TRUE, class = c("html", 
-    "character")), correct = FALSE, message = NULL, type = "literal"), class = c("tutorial_question_answer", 
-"tutorial_quiz_answer")), structure(list(id = "lnr_ans_488bd11", 
-    option = "utils", value = "utils", label = structure("utils", html = TRUE, class = c("html", 
-    "character")), correct = TRUE, message = NULL, type = "literal"), class = c("tutorial_question_answer", 
-"tutorial_quiz_answer")), structure(list(id = "lnr_ans_66ce8da", 
-    option = "codetools", value = "codetools", label = structure("codetools", html = TRUE, class = c("html", 
-    "character")), correct = FALSE, message = NULL, type = "literal"), class = c("tutorial_question_answer", 
-"tutorial_quiz_answer"))), button_labels = list(submit = structure("<span data-i18n=\"button.questionsubmit\">Submit Answer<\u002fspan>", html = TRUE, class = c("html", 
-"character")), try_again = structure("<span data-i18n=\"button.questiontryagain\">Try Again<\u002fspan>", html = TRUE, class = c("html", 
-"character"))), messages = list(correct = structure("Correct!", html = TRUE, class = c("html", 
-"character")), try_again = structure("Incorrect", html = TRUE, class = c("html", 
-"character")), incorrect = structure("Incorrect", html = TRUE, class = c("html", 
-"character")), message = NULL, post_message = NULL), ids = list(
-    answer = "quiz-1-answer", question = "quiz-1"), loading = NULL, 
-    random_answer_order = FALSE, allow_retry = FALSE, seed = 1925648562.1033, 
-    options = list()), class = c("learnr_radio", "tutorial_question"
-)), session = session)
-</script>
-
-
-<script type="application/shiny-prerendered" data-context="server">
-learnr:::question_prerendered_chunk(structure(list(type = "learnr_checkbox", label = "quiz-2", question = structure("Which of the R packages listed below are used to create plots?", html = TRUE, class = c("html", 
-"character")), answers = list(structure(list(id = "lnr_ans_8af68bc", 
-    option = "lattice", value = "lattice", label = structure("lattice", html = TRUE, class = c("html", 
-    "character")), correct = TRUE, message = NULL, type = "literal"), class = c("tutorial_question_answer", 
-"tutorial_quiz_answer")), structure(list(id = "lnr_ans_9708a27", 
-    option = "tools", value = "tools", label = structure("tools", html = TRUE, class = c("html", 
-    "character")), correct = FALSE, message = NULL, type = "literal"), class = c("tutorial_question_answer", 
-"tutorial_quiz_answer")), structure(list(id = "lnr_ans_eb75489", 
-    option = "stats", value = "stats", label = structure("stats", html = TRUE, class = c("html", 
-    "character")), correct = FALSE, message = NULL, type = "literal"), class = c("tutorial_question_answer", 
-"tutorial_quiz_answer")), structure(list(id = "lnr_ans_222623d", 
-    option = "grid", value = "grid", label = structure("grid", html = TRUE, class = c("html", 
-    "character")), correct = TRUE, message = NULL, type = "literal"), class = c("tutorial_question_answer", 
-"tutorial_quiz_answer"))), button_labels = list(submit = structure("<span data-i18n=\"button.questionsubmit\">Submit Answer<\u002fspan>", html = TRUE, class = c("html", 
-"character")), try_again = structure("<span data-i18n=\"button.questiontryagain\">Try Again<\u002fspan>", html = TRUE, class = c("html", 
-"character"))), messages = list(correct = structure("Correct!", html = TRUE, class = c("html", 
-"character")), try_again = structure("Incorrect. Be sure to select every correct answer.", html = TRUE, class = c("html", 
-"character")), incorrect = structure("Incorrect", html = TRUE, class = c("html", 
-"character")), message = NULL, post_message = NULL), ids = list(
-    answer = "quiz-2-answer", question = "quiz-2"), loading = NULL, 
-    random_answer_order = FALSE, allow_retry = FALSE, seed = 516800032.759346, 
-    options = list()), class = c("learnr_checkbox", "tutorial_question"
-)), session = session)
+`tutorial-exercise-replace-variable-result` <- learnr:::setup_exercise_handler(reactive(req(input$`tutorial-exercise-replace-variable-code-editor`)), session)
+output$`tutorial-exercise-replace-variable-output` <- renderUI({
+  `tutorial-exercise-replace-variable-result`()
+})
+</script>
+
+
+<script type="application/shiny-prerendered" data-context="server">
+learnr:::store_exercise_cache(structure(list(label = "replace-variable", global_setup = structure(c("library(learnr)", 
+"library(readxl)", "gameData <- read_excel(\"bgg_dataset.xlsx\", sheet = \"Sheet\")", 
+"knitr::opts_chunk$set(echo = FALSE)"), chunk_opts = list(label = "setup", 
+    include = FALSE)), setup = NULL, chunks = list(list(label = "replace-variable", 
+    code = "gameData$`Mechanics` <- gsub(\"Action\", \"ACTION\", gameData$`Mechanics`)\ngameData$`Mechanics`", 
+    opts = list(label = "\"replace-variable\"", exercise = "TRUE"), 
+    engine = "r")), code_check = NULL, error_check = NULL, check = NULL, 
+    solution = NULL, tests = NULL, options = list(eval = FALSE, 
+        echo = TRUE, results = "markup", tidy = FALSE, tidy.opts = NULL, 
+        collapse = FALSE, prompt = FALSE, comment = NA, highlight = FALSE, 
+        size = "normalsize", background = "#F7F7F7", strip.white = TRUE, 
+        cache = 0, cache.path = "tutorial_page_cache/html/", 
+        cache.vars = NULL, cache.lazy = TRUE, dependson = NULL, 
+        autodep = FALSE, cache.rebuild = FALSE, fig.keep = "high", 
+        fig.show = "asis", fig.align = "default", fig.path = "tutorial_page_files/figure-html/", 
+        dev = "png", dev.args = NULL, dpi = 192, fig.ext = "png", 
+        fig.width = 6.5, fig.height = 4, fig.env = "figure", 
+        fig.cap = NULL, fig.scap = NULL, fig.lp = "fig:", fig.subcap = NULL, 
+        fig.pos = "", out.width = 624, out.height = NULL, out.extra = NULL, 
+        fig.retina = 2, external = TRUE, sanitize = FALSE, interval = 1, 
+        aniopts = "controls,loop", warning = TRUE, error = FALSE, 
+        message = TRUE, render = NULL, ref.label = NULL, child = NULL, 
+        engine = "r", split = FALSE, include = TRUE, purl = TRUE, 
+        max.print = 1000, label = "replace-variable", exercise = TRUE, 
+        code = c("gameData$`Mechanics` <- gsub(\"Action\", \"ACTION\", gameData$`Mechanics`)", 
+        "gameData$`Mechanics`"), out.width.px = 624, out.height.px = 384, 
+        params.src = "replace-variable, exercise=TRUE", fig.num = 0, 
+        exercise.df_print = "paged", exercise.checker = "NULL"), 
+    engine = "r", version = "4"), class = c("r", "tutorial_exercise"
+)))
+</script>
+ 
+<script type="application/shiny-prerendered" data-context="server">
+`tutorial-exercise-replace-missing-variable-result` <- learnr:::setup_exercise_handler(reactive(req(input$`tutorial-exercise-replace-missing-variable-code-editor`)), session)
+output$`tutorial-exercise-replace-missing-variable-output` <- renderUI({
+  `tutorial-exercise-replace-missing-variable-result`()
+})
+</script>
+
+
+<script type="application/shiny-prerendered" data-context="server">
+learnr:::store_exercise_cache(structure(list(label = "replace-missing-variable", global_setup = structure(c("library(learnr)", 
+"library(readxl)", "gameData <- read_excel(\"bgg_dataset.xlsx\", sheet = \"Sheet\")", 
+"knitr::opts_chunk$set(echo = FALSE)"), chunk_opts = list(label = "setup", 
+    include = FALSE)), setup = NULL, chunks = list(list(label = "replace-missing-variable", 
+    code = "gameData$`Rating Average`[is.na(gameData$`Rating Average`)] <- mean(gameData$`Rating Average`, na.rm = TRUE)", 
+    opts = list(label = "\"replace-missing-variable\"", exercise = "TRUE"), 
+    engine = "r")), code_check = NULL, error_check = NULL, check = NULL, 
+    solution = NULL, tests = NULL, options = list(eval = FALSE, 
+        echo = TRUE, results = "markup", tidy = FALSE, tidy.opts = NULL, 
+        collapse = FALSE, prompt = FALSE, comment = NA, highlight = FALSE, 
+        size = "normalsize", background = "#F7F7F7", strip.white = TRUE, 
+        cache = 0, cache.path = "tutorial_page_cache/html/", 
+        cache.vars = NULL, cache.lazy = TRUE, dependson = NULL, 
+        autodep = FALSE, cache.rebuild = FALSE, fig.keep = "high", 
+        fig.show = "asis", fig.align = "default", fig.path = "tutorial_page_files/figure-html/", 
+        dev = "png", dev.args = NULL, dpi = 192, fig.ext = "png", 
+        fig.width = 6.5, fig.height = 4, fig.env = "figure", 
+        fig.cap = NULL, fig.scap = NULL, fig.lp = "fig:", fig.subcap = NULL, 
+        fig.pos = "", out.width = 624, out.height = NULL, out.extra = NULL, 
+        fig.retina = 2, external = TRUE, sanitize = FALSE, interval = 1, 
+        aniopts = "controls,loop", warning = TRUE, error = FALSE, 
+        message = TRUE, render = NULL, ref.label = NULL, child = NULL, 
+        engine = "r", split = FALSE, include = TRUE, purl = TRUE, 
+        max.print = 1000, label = "replace-missing-variable", 
+        exercise = TRUE, code = "gameData$`Rating Average`[is.na(gameData$`Rating Average`)] <- mean(gameData$`Rating Average`, na.rm = TRUE)", 
+        out.width.px = 624, out.height.px = 384, params.src = "replace-missing-variable, exercise=TRUE", 
+        fig.num = 0, exercise.df_print = "paged", exercise.checker = "NULL"), 
+    engine = "r", version = "4"), class = c("r", "tutorial_exercise"
+)))
+</script>
+ 
+<script type="application/shiny-prerendered" data-context="server">
+`tutorial-exercise-remove-duplicates-result` <- learnr:::setup_exercise_handler(reactive(req(input$`tutorial-exercise-remove-duplicates-code-editor`)), session)
+output$`tutorial-exercise-remove-duplicates-output` <- renderUI({
+  `tutorial-exercise-remove-duplicates-result`()
+})
+</script>
+
+
+<script type="application/shiny-prerendered" data-context="server">
+learnr:::store_exercise_cache(structure(list(label = "remove-duplicates", global_setup = structure(c("library(learnr)", 
+"library(readxl)", "gameData <- read_excel(\"bgg_dataset.xlsx\", sheet = \"Sheet\")", 
+"knitr::opts_chunk$set(echo = FALSE)"), chunk_opts = list(label = "setup", 
+    include = FALSE)), setup = NULL, chunks = list(list(label = "remove-duplicates", 
+    code = "gameData <- unique(gameData)", opts = list(label = "\"remove-duplicates\"", 
+        exercise = "TRUE"), engine = "r")), code_check = NULL, 
+    error_check = NULL, check = NULL, solution = NULL, tests = NULL, 
+    options = list(eval = FALSE, echo = TRUE, results = "markup", 
+        tidy = FALSE, tidy.opts = NULL, collapse = FALSE, prompt = FALSE, 
+        comment = NA, highlight = FALSE, size = "normalsize", 
+        background = "#F7F7F7", strip.white = TRUE, cache = 0, 
+        cache.path = "tutorial_page_cache/html/", cache.vars = NULL, 
+        cache.lazy = TRUE, dependson = NULL, autodep = FALSE, 
+        cache.rebuild = FALSE, fig.keep = "high", fig.show = "asis", 
+        fig.align = "default", fig.path = "tutorial_page_files/figure-html/", 
+        dev = "png", dev.args = NULL, dpi = 192, fig.ext = "png", 
+        fig.width = 6.5, fig.height = 4, fig.env = "figure", 
+        fig.cap = NULL, fig.scap = NULL, fig.lp = "fig:", fig.subcap = NULL, 
+        fig.pos = "", out.width = 624, out.height = NULL, out.extra = NULL, 
+        fig.retina = 2, external = TRUE, sanitize = FALSE, interval = 1, 
+        aniopts = "controls,loop", warning = TRUE, error = FALSE, 
+        message = TRUE, render = NULL, ref.label = NULL, child = NULL, 
+        engine = "r", split = FALSE, include = TRUE, purl = TRUE, 
+        max.print = 1000, label = "remove-duplicates", exercise = TRUE, 
+        code = "gameData <- unique(gameData)", out.width.px = 624, 
+        out.height.px = 384, params.src = "remove-duplicates, exercise=TRUE", 
+        fig.num = 0, exercise.df_print = "paged", exercise.checker = "NULL"), 
+    engine = "r", version = "4"), class = c("r", "tutorial_exercise"
+)))
+</script>
+ 
+<script type="application/shiny-prerendered" data-context="server">
+`tutorial-exercise-replace-special-chars-result` <- learnr:::setup_exercise_handler(reactive(req(input$`tutorial-exercise-replace-special-chars-code-editor`)), session)
+output$`tutorial-exercise-replace-special-chars-output` <- renderUI({
+  `tutorial-exercise-replace-special-chars-result`()
+})
+</script>
+
+
+<script type="application/shiny-prerendered" data-context="server">
+learnr:::store_exercise_cache(structure(list(label = "replace-special-chars", global_setup = structure(c("library(learnr)", 
+"library(readxl)", "gameData <- read_excel(\"bgg_dataset.xlsx\", sheet = \"Sheet\")", 
+"knitr::opts_chunk$set(echo = FALSE)"), chunk_opts = list(label = "setup", 
+    include = FALSE)), setup = NULL, chunks = list(list(label = "replace-special-chars", 
+    code = "gameData$`Mechanics` <- gsub(\"[^a-zA-Z0-9 ]\", \"\", gameData$`Mechanics`)", 
+    opts = list(label = "\"replace-special-chars\"", exercise = "TRUE"), 
+    engine = "r")), code_check = NULL, error_check = NULL, check = NULL, 
+    solution = NULL, tests = NULL, options = list(eval = FALSE, 
+        echo = TRUE, results = "markup", tidy = FALSE, tidy.opts = NULL, 
+        collapse = FALSE, prompt = FALSE, comment = NA, highlight = FALSE, 
+        size = "normalsize", background = "#F7F7F7", strip.white = TRUE, 
+        cache = 0, cache.path = "tutorial_page_cache/html/", 
+        cache.vars = NULL, cache.lazy = TRUE, dependson = NULL, 
+        autodep = FALSE, cache.rebuild = FALSE, fig.keep = "high", 
+        fig.show = "asis", fig.align = "default", fig.path = "tutorial_page_files/figure-html/", 
+        dev = "png", dev.args = NULL, dpi = 192, fig.ext = "png", 
+        fig.width = 6.5, fig.height = 4, fig.env = "figure", 
+        fig.cap = NULL, fig.scap = NULL, fig.lp = "fig:", fig.subcap = NULL, 
+        fig.pos = "", out.width = 624, out.height = NULL, out.extra = NULL, 
+        fig.retina = 2, external = TRUE, sanitize = FALSE, interval = 1, 
+        aniopts = "controls,loop", warning = TRUE, error = FALSE, 
+        message = TRUE, render = NULL, ref.label = NULL, child = NULL, 
+        engine = "r", split = FALSE, include = TRUE, purl = TRUE, 
+        max.print = 1000, label = "replace-special-chars", exercise = TRUE, 
+        code = "gameData$`Mechanics` <- gsub(\"[^a-zA-Z0-9 ]\", \"\", gameData$`Mechanics`)", 
+        out.width.px = 624, out.height.px = 384, params.src = "replace-special-chars, exercise=TRUE", 
+        fig.num = 0, exercise.df_print = "paged", exercise.checker = "NULL"), 
+    engine = "r", version = "4"), class = c("r", "tutorial_exercise"
+)))
+</script>
+ 
+<script type="application/shiny-prerendered" data-context="server">
+learnr:::question_prerendered_chunk(structure(list(type = "learnr_radio", label = "second-quiz-1", 
+    question = structure("Mit welchem R-Befehl lassen sich Packages installieren?", html = TRUE, class = c("html", 
+    "character")), answers = list(structure(list(id = "lnr_ans_9152b4", 
+        option = "install.packages()", value = "install.packages()", 
+        label = structure("install.packages()", html = TRUE, class = c("html", 
+        "character")), correct = TRUE, message = NULL, type = "literal"), class = c("tutorial_question_answer", 
+    "tutorial_quiz_answer")), structure(list(id = "lnr_ans_9fa1005", 
+        option = "add.packages()", value = "add.packages()", 
+        label = structure("add.packages()", html = TRUE, class = c("html", 
+        "character")), correct = FALSE, message = NULL, type = "literal"), class = c("tutorial_question_answer", 
+    "tutorial_quiz_answer")), structure(list(id = "lnr_ans_ecf2af8", 
+        option = "install.library()", value = "install.library()", 
+        label = structure("install.library()", html = TRUE, class = c("html", 
+        "character")), correct = FALSE, message = NULL, type = "literal"), class = c("tutorial_question_answer", 
+    "tutorial_quiz_answer")), structure(list(id = "lnr_ans_fb87b3f", 
+        option = "install()", value = "install()", label = structure("install()", html = TRUE, class = c("html", 
+        "character")), correct = FALSE, message = NULL, type = "literal"), class = c("tutorial_question_answer", 
+    "tutorial_quiz_answer"))), button_labels = list(submit = structure("<span data-i18n=\"button.questionsubmit\">Submit Answer<\u002fspan>", html = TRUE, class = c("html", 
+    "character")), try_again = structure("<span data-i18n=\"button.questiontryagain\">Try Again<\u002fspan>", html = TRUE, class = c("html", 
+    "character"))), messages = list(correct = structure("Correct!", html = TRUE, class = c("html", 
+    "character")), try_again = structure("Incorrect", html = TRUE, class = c("html", 
+    "character")), incorrect = structure("Incorrect", html = TRUE, class = c("html", 
+    "character")), message = NULL, post_message = NULL), ids = list(
+        answer = "second-quiz-1-answer", question = "second-quiz-1"), 
+    loading = NULL, random_answer_order = FALSE, allow_retry = FALSE, 
+    seed = 1655717186.729, options = list()), class = c("learnr_radio", 
+"tutorial_question")), session = session)
+</script>
+
+
+<script type="application/shiny-prerendered" data-context="server">
+learnr:::question_prerendered_chunk(structure(list(type = "learnr_radio", label = "second-quiz-2", 
+    question = structure("Mit welchem R-Befehl lassen sich die installierten Packages initialisieren?", html = TRUE, class = c("html", 
+    "character")), answers = list(structure(list(id = "lnr_ans_243a3dc", 
+        option = "use()", value = "use()", label = structure("use()", html = TRUE, class = c("html", 
+        "character")), correct = FALSE, message = NULL, type = "literal"), class = c("tutorial_question_answer", 
+    "tutorial_quiz_answer")), structure(list(id = "lnr_ans_9505c08", 
+        option = "library()", value = "library()", label = structure("library()", html = TRUE, class = c("html", 
+        "character")), correct = TRUE, message = NULL, type = "literal"), class = c("tutorial_question_answer", 
+    "tutorial_quiz_answer")), structure(list(id = "lnr_ans_d4b9fe6", 
+        option = "init()", value = "init()", label = structure("init()", html = TRUE, class = c("html", 
+        "character")), correct = FALSE, message = NULL, type = "literal"), class = c("tutorial_question_answer", 
+    "tutorial_quiz_answer")), structure(list(id = "lnr_ans_7226ea2", 
+        option = "install.packages()", value = "install.packages()", 
+        label = structure("install.packages()", html = TRUE, class = c("html", 
+        "character")), correct = FALSE, message = NULL, type = "literal"), class = c("tutorial_question_answer", 
+    "tutorial_quiz_answer"))), button_labels = list(submit = structure("<span data-i18n=\"button.questionsubmit\">Submit Answer<\u002fspan>", html = TRUE, class = c("html", 
+    "character")), try_again = structure("<span data-i18n=\"button.questiontryagain\">Try Again<\u002fspan>", html = TRUE, class = c("html", 
+    "character"))), messages = list(correct = structure("Correct!", html = TRUE, class = c("html", 
+    "character")), try_again = structure("Incorrect", html = TRUE, class = c("html", 
+    "character")), incorrect = structure("Incorrect", html = TRUE, class = c("html", 
+    "character")), message = NULL, post_message = NULL), ids = list(
+        answer = "second-quiz-2-answer", question = "second-quiz-2"), 
+    loading = NULL, random_answer_order = FALSE, allow_retry = FALSE, 
+    seed = 688985354.679166, options = list()), class = c("learnr_radio", 
+"tutorial_question")), session = session)
+</script>
+ 
+<script type="application/shiny-prerendered" data-context="server">
+learnr:::question_prerendered_chunk(structure(list(type = "learnr_radio", label = "second-quiz-3", 
+    question = structure("Welcher Packet benutzen wir, um XLSX-Dateien zu lesen?", html = TRUE, class = c("html", 
+    "character")), answers = list(structure(list(id = "lnr_ans_fd306fd", 
+        option = "readxl()", value = "readxl()", label = structure("readxl()", html = TRUE, class = c("html", 
+        "character")), correct = TRUE, message = NULL, type = "literal"), class = c("tutorial_question_answer", 
+    "tutorial_quiz_answer")), structure(list(id = "lnr_ans_a36632d", 
+        option = "readxls()", value = "readxls()", label = structure("readxls()", html = TRUE, class = c("html", 
+        "character")), correct = FALSE, message = NULL, type = "literal"), class = c("tutorial_question_answer", 
+    "tutorial_quiz_answer")), structure(list(id = "lnr_ans_db56eaa", 
+        option = "readexcel()", value = "readexcel()", label = structure("readexcel()", html = TRUE, class = c("html", 
+        "character")), correct = FALSE, message = NULL, type = "literal"), class = c("tutorial_question_answer", 
+    "tutorial_quiz_answer")), structure(list(id = "lnr_ans_6ef3f79", 
+        option = "excelread()", value = "excelread()", label = structure("excelread()", html = TRUE, class = c("html", 
+        "character")), correct = FALSE, message = NULL, type = "literal"), class = c("tutorial_question_answer", 
+    "tutorial_quiz_answer"))), button_labels = list(submit = structure("<span data-i18n=\"button.questionsubmit\">Submit Answer<\u002fspan>", html = TRUE, class = c("html", 
+    "character")), try_again = structure("<span data-i18n=\"button.questiontryagain\">Try Again<\u002fspan>", html = TRUE, class = c("html", 
+    "character"))), messages = list(correct = structure("Correct!", html = TRUE, class = c("html", 
+    "character")), try_again = structure("Incorrect", html = TRUE, class = c("html", 
+    "character")), incorrect = structure("Incorrect", html = TRUE, class = c("html", 
+    "character")), message = NULL, post_message = NULL), ids = list(
+        answer = "second-quiz-3-answer", question = "second-quiz-3"), 
+    loading = NULL, random_answer_order = FALSE, allow_retry = FALSE, 
+    seed = 660407116.692474, options = list()), class = c("learnr_radio", 
+"tutorial_question")), session = session)
+</script>
+
+
+<script type="application/shiny-prerendered" data-context="server">
+learnr:::question_prerendered_chunk(structure(list(type = "learnr_radio", label = "second-quiz-4", 
+    question = structure("Wie lassen sich einzelne Spalten aus dem Datensatz auslesen?", html = TRUE, class = c("html", 
+    "character")), answers = list(structure(list(id = "lnr_ans_e1aab94", 
+        option = "dataset&\\`column\\`", value = "dataset&\\`column\\`", 
+        label = structure("dataset&amp;`column`", html = TRUE, class = c("html", 
+        "character")), correct = FALSE, message = NULL, type = "literal"), class = c("tutorial_question_answer", 
+    "tutorial_quiz_answer")), structure(list(id = "lnr_ans_983f5f0", 
+        option = "column$dataset", value = "column$dataset", 
+        label = structure("column$dataset", html = TRUE, class = c("html", 
+        "character")), correct = FALSE, message = NULL, type = "literal"), class = c("tutorial_question_answer", 
+    "tutorial_quiz_answer")), structure(list(id = "lnr_ans_42d1b13", 
+        option = "dataset%\\`column\\`", value = "dataset%\\`column\\`", 
+        label = structure("dataset%`column`", html = TRUE, class = c("html", 
+        "character")), correct = FALSE, message = NULL, type = "literal"), class = c("tutorial_question_answer", 
+    "tutorial_quiz_answer")), structure(list(id = "lnr_ans_8bb43c9", 
+        option = "dataset$\\`column\\`", value = "dataset$\\`column\\`", 
+        label = structure("dataset$`column`", html = TRUE, class = c("html", 
+        "character")), correct = TRUE, message = NULL, type = "literal"), class = c("tutorial_question_answer", 
+    "tutorial_quiz_answer"))), button_labels = list(submit = structure("<span data-i18n=\"button.questionsubmit\">Submit Answer<\u002fspan>", html = TRUE, class = c("html", 
+    "character")), try_again = structure("<span data-i18n=\"button.questiontryagain\">Try Again<\u002fspan>", html = TRUE, class = c("html", 
+    "character"))), messages = list(correct = structure("Correct!", html = TRUE, class = c("html", 
+    "character")), try_again = structure("Incorrect", html = TRUE, class = c("html", 
+    "character")), incorrect = structure("Incorrect", html = TRUE, class = c("html", 
+    "character")), message = NULL, post_message = NULL), ids = list(
+        answer = "second-quiz-4-answer", question = "second-quiz-4"), 
+    loading = NULL, random_answer_order = FALSE, allow_retry = FALSE, 
+    seed = 1571822390.76806, options = list()), class = c("learnr_radio", 
+"tutorial_question")), session = session)
+</script>
+ 
+<script type="application/shiny-prerendered" data-context="server">
+`tutorial-exercise-mean-result` <- learnr:::setup_exercise_handler(reactive(req(input$`tutorial-exercise-mean-code-editor`)), session)
+output$`tutorial-exercise-mean-output` <- renderUI({
+  `tutorial-exercise-mean-result`()
+})
+</script>
+
+
+<script type="application/shiny-prerendered" data-context="server">
+learnr:::store_exercise_cache(structure(list(label = "mean", global_setup = structure(c("library(learnr)", 
+"library(readxl)", "gameData <- read_excel(\"bgg_dataset.xlsx\", sheet = \"Sheet\")", 
+"knitr::opts_chunk$set(echo = FALSE)"), chunk_opts = list(label = "setup", 
+    include = FALSE)), setup = NULL, chunks = list(list(label = "mean", 
+    code = "\n\n", opts = list(label = "\"mean\"", exercise = "TRUE"), 
+    engine = "r")), code_check = NULL, error_check = NULL, check = NULL, 
+    solution = NULL, tests = NULL, options = list(eval = FALSE, 
+        echo = TRUE, results = "markup", tidy = FALSE, tidy.opts = NULL, 
+        collapse = FALSE, prompt = FALSE, comment = NA, highlight = FALSE, 
+        size = "normalsize", background = "#F7F7F7", strip.white = TRUE, 
+        cache = 0, cache.path = "tutorial_page_cache/html/", 
+        cache.vars = NULL, cache.lazy = TRUE, dependson = NULL, 
+        autodep = FALSE, cache.rebuild = FALSE, fig.keep = "high", 
+        fig.show = "asis", fig.align = "default", fig.path = "tutorial_page_files/figure-html/", 
+        dev = "png", dev.args = NULL, dpi = 192, fig.ext = "png", 
+        fig.width = 6.5, fig.height = 4, fig.env = "figure", 
+        fig.cap = NULL, fig.scap = NULL, fig.lp = "fig:", fig.subcap = NULL, 
+        fig.pos = "", out.width = 624, out.height = NULL, out.extra = NULL, 
+        fig.retina = 2, external = TRUE, sanitize = FALSE, interval = 1, 
+        aniopts = "controls,loop", warning = TRUE, error = FALSE, 
+        message = TRUE, render = NULL, ref.label = NULL, child = NULL, 
+        engine = "r", split = FALSE, include = TRUE, purl = TRUE, 
+        max.print = 1000, label = "mean", exercise = TRUE, out.width.px = 624, 
+        out.height.px = 384, params.src = "mean, exercise=TRUE", 
+        fig.num = 0L, exercise.df_print = "paged", exercise.checker = "NULL"), 
+    engine = "r", version = "4"), class = c("r", "tutorial_exercise"
+)))
+</script>
+ 
+<script type="application/shiny-prerendered" data-context="server">
+`tutorial-exercise-median-result` <- learnr:::setup_exercise_handler(reactive(req(input$`tutorial-exercise-median-code-editor`)), session)
+output$`tutorial-exercise-median-output` <- renderUI({
+  `tutorial-exercise-median-result`()
+})
+</script>
+
+
+<script type="application/shiny-prerendered" data-context="server">
+learnr:::store_exercise_cache(structure(list(label = "median", global_setup = structure(c("library(learnr)", 
+"library(readxl)", "gameData <- read_excel(\"bgg_dataset.xlsx\", sheet = \"Sheet\")", 
+"knitr::opts_chunk$set(echo = FALSE)"), chunk_opts = list(label = "setup", 
+    include = FALSE)), setup = NULL, chunks = list(list(label = "median", 
+    code = "ptime <- gameData[[\"Play Time\"]]", opts = list(
+        label = "\"median\"", exercise = "TRUE"), engine = "r")), 
+    code_check = NULL, error_check = NULL, check = NULL, solution = NULL, 
+    tests = NULL, options = list(eval = FALSE, echo = TRUE, results = "markup", 
+        tidy = FALSE, tidy.opts = NULL, collapse = FALSE, prompt = FALSE, 
+        comment = NA, highlight = FALSE, size = "normalsize", 
+        background = "#F7F7F7", strip.white = TRUE, cache = 0, 
+        cache.path = "tutorial_page_cache/html/", cache.vars = NULL, 
+        cache.lazy = TRUE, dependson = NULL, autodep = FALSE, 
+        cache.rebuild = FALSE, fig.keep = "high", fig.show = "asis", 
+        fig.align = "default", fig.path = "tutorial_page_files/figure-html/", 
+        dev = "png", dev.args = NULL, dpi = 192, fig.ext = "png", 
+        fig.width = 6.5, fig.height = 4, fig.env = "figure", 
+        fig.cap = NULL, fig.scap = NULL, fig.lp = "fig:", fig.subcap = NULL, 
+        fig.pos = "", out.width = 624, out.height = NULL, out.extra = NULL, 
+        fig.retina = 2, external = TRUE, sanitize = FALSE, interval = 1, 
+        aniopts = "controls,loop", warning = TRUE, error = FALSE, 
+        message = TRUE, render = NULL, ref.label = NULL, child = NULL, 
+        engine = "r", split = FALSE, include = TRUE, purl = TRUE, 
+        max.print = 1000, label = "median", exercise = TRUE, 
+        code = "ptime <- gameData[[\"Play Time\"]]", out.width.px = 624, 
+        out.height.px = 384, params.src = "median, exercise=TRUE", 
+        fig.num = 0, exercise.df_print = "paged", exercise.checker = "NULL"), 
+    engine = "r", version = "4"), class = c("r", "tutorial_exercise"
+)))
+</script>
+ 
+<script type="application/shiny-prerendered" data-context="server">
+`tutorial-exercise-variance-result` <- learnr:::setup_exercise_handler(reactive(req(input$`tutorial-exercise-variance-code-editor`)), session)
+output$`tutorial-exercise-variance-output` <- renderUI({
+  `tutorial-exercise-variance-result`()
+})
+</script>
+
+
+<script type="application/shiny-prerendered" data-context="server">
+learnr:::store_exercise_cache(structure(list(label = "variance", global_setup = structure(c("library(learnr)", 
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+    include = FALSE)), setup = NULL, chunks = list(list(label = "variance", 
+    code = "ptime <- gameData$\"Play Time\"", opts = list(label = "\"variance\"", 
+        exercise = "TRUE"), engine = "r")), code_check = NULL, 
+    error_check = NULL, check = NULL, solution = NULL, tests = NULL, 
+    options = list(eval = FALSE, echo = TRUE, results = "markup", 
+        tidy = FALSE, tidy.opts = NULL, collapse = FALSE, prompt = FALSE, 
+        comment = NA, highlight = FALSE, size = "normalsize", 
+        background = "#F7F7F7", strip.white = TRUE, cache = 0, 
+        cache.path = "tutorial_page_cache/html/", cache.vars = NULL, 
+        cache.lazy = TRUE, dependson = NULL, autodep = FALSE, 
+        cache.rebuild = FALSE, fig.keep = "high", fig.show = "asis", 
+        fig.align = "default", fig.path = "tutorial_page_files/figure-html/", 
+        dev = "png", dev.args = NULL, dpi = 192, fig.ext = "png", 
+        fig.width = 6.5, fig.height = 4, fig.env = "figure", 
+        fig.cap = NULL, fig.scap = NULL, fig.lp = "fig:", fig.subcap = NULL, 
+        fig.pos = "", out.width = 624, out.height = NULL, out.extra = NULL, 
+        fig.retina = 2, external = TRUE, sanitize = FALSE, interval = 1, 
+        aniopts = "controls,loop", warning = TRUE, error = FALSE, 
+        message = TRUE, render = NULL, ref.label = NULL, child = NULL, 
+        engine = "r", split = FALSE, include = TRUE, purl = TRUE, 
+        max.print = 1000, label = "variance", exercise = TRUE, 
+        code = "ptime <- gameData$\"Play Time\"", out.width.px = 624, 
+        out.height.px = 384, params.src = "variance, exercise=TRUE", 
+        fig.num = 0, exercise.df_print = "paged", exercise.checker = "NULL"), 
+    engine = "r", version = "4"), class = c("r", "tutorial_exercise"
+)))
+</script>
+ 
+<script type="application/shiny-prerendered" data-context="server">
+`tutorial-exercise-standard-deviation-result` <- learnr:::setup_exercise_handler(reactive(req(input$`tutorial-exercise-standard-deviation-code-editor`)), session)
+output$`tutorial-exercise-standard-deviation-output` <- renderUI({
+  `tutorial-exercise-standard-deviation-result`()
+})
+</script>
+
+
+<script type="application/shiny-prerendered" data-context="server">
+learnr:::store_exercise_cache(structure(list(label = "standard-deviation", global_setup = structure(c("library(learnr)", 
+"library(readxl)", "gameData <- read_excel(\"bgg_dataset.xlsx\", sheet = \"Sheet\")", 
+"knitr::opts_chunk$set(echo = FALSE)"), chunk_opts = list(label = "setup", 
+    include = FALSE)), setup = NULL, chunks = list(list(label = "standard-deviation", 
+    code = "ptime <- gameData$\"Play Time\"", opts = list(label = "\"standard-deviation\"", 
+        exercise = "TRUE"), engine = "r")), code_check = NULL, 
+    error_check = NULL, check = NULL, solution = NULL, tests = NULL, 
+    options = list(eval = FALSE, echo = TRUE, results = "markup", 
+        tidy = FALSE, tidy.opts = NULL, collapse = FALSE, prompt = FALSE, 
+        comment = NA, highlight = FALSE, size = "normalsize", 
+        background = "#F7F7F7", strip.white = TRUE, cache = 0, 
+        cache.path = "tutorial_page_cache/html/", cache.vars = NULL, 
+        cache.lazy = TRUE, dependson = NULL, autodep = FALSE, 
+        cache.rebuild = FALSE, fig.keep = "high", fig.show = "asis", 
+        fig.align = "default", fig.path = "tutorial_page_files/figure-html/", 
+        dev = "png", dev.args = NULL, dpi = 192, fig.ext = "png", 
+        fig.width = 6.5, fig.height = 4, fig.env = "figure", 
+        fig.cap = NULL, fig.scap = NULL, fig.lp = "fig:", fig.subcap = NULL, 
+        fig.pos = "", out.width = 624, out.height = NULL, out.extra = NULL, 
+        fig.retina = 2, external = TRUE, sanitize = FALSE, interval = 1, 
+        aniopts = "controls,loop", warning = TRUE, error = FALSE, 
+        message = TRUE, render = NULL, ref.label = NULL, child = NULL, 
+        engine = "r", split = FALSE, include = TRUE, purl = TRUE, 
+        max.print = 1000, label = "standard-deviation", exercise = TRUE, 
+        code = "ptime <- gameData$\"Play Time\"", out.width.px = 624, 
+        out.height.px = 384, params.src = "standard-deviation, exercise=TRUE", 
+        fig.num = 0, exercise.df_print = "paged", exercise.checker = "NULL"), 
+    engine = "r", version = "4"), class = c("r", "tutorial_exercise"
+)))
+</script>
+ 
+<script type="application/shiny-prerendered" data-context="server">
+`tutorial-exercise-linear-regression-result` <- learnr:::setup_exercise_handler(reactive(req(input$`tutorial-exercise-linear-regression-code-editor`)), session)
+output$`tutorial-exercise-linear-regression-output` <- renderUI({
+  `tutorial-exercise-linear-regression-result`()
+})
+</script>
+
+
+<script type="application/shiny-prerendered" data-context="server">
+learnr:::store_exercise_cache(structure(list(label = "linear-regression", global_setup = structure(c("library(learnr)", 
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+    include = FALSE)), setup = NULL, chunks = list(list(label = "linear-regression", 
+    code = "raters <- gameData$\"Users Rated\"\nowned <- gameData$\"Owned Users\"", 
+    opts = list(label = "\"linear-regression\"", exercise = "TRUE"), 
+    engine = "r")), code_check = NULL, error_check = NULL, check = NULL, 
+    solution = NULL, tests = NULL, options = list(eval = FALSE, 
+        echo = TRUE, results = "markup", tidy = FALSE, tidy.opts = NULL, 
+        collapse = FALSE, prompt = FALSE, comment = NA, highlight = FALSE, 
+        size = "normalsize", background = "#F7F7F7", strip.white = TRUE, 
+        cache = 0, cache.path = "tutorial_page_cache/html/", 
+        cache.vars = NULL, cache.lazy = TRUE, dependson = NULL, 
+        autodep = FALSE, cache.rebuild = FALSE, fig.keep = "high", 
+        fig.show = "asis", fig.align = "default", fig.path = "tutorial_page_files/figure-html/", 
+        dev = "png", dev.args = NULL, dpi = 192, fig.ext = "png", 
+        fig.width = 6.5, fig.height = 4, fig.env = "figure", 
+        fig.cap = NULL, fig.scap = NULL, fig.lp = "fig:", fig.subcap = NULL, 
+        fig.pos = "", out.width = 624, out.height = NULL, out.extra = NULL, 
+        fig.retina = 2, external = TRUE, sanitize = FALSE, interval = 1, 
+        aniopts = "controls,loop", warning = TRUE, error = FALSE, 
+        message = TRUE, render = NULL, ref.label = NULL, child = NULL, 
+        engine = "r", split = FALSE, include = TRUE, purl = TRUE, 
+        max.print = 1000, label = "linear-regression", exercise = TRUE, 
+        code = c("raters <- gameData$\"Users Rated\"", "owned <- gameData$\"Owned Users\""
+        ), out.width.px = 624, out.height.px = 384, params.src = "linear-regression, exercise=TRUE", 
+        fig.num = 0, exercise.df_print = "paged", exercise.checker = "NULL"), 
+    engine = "r", version = "4"), class = c("r", "tutorial_exercise"
+)))
+</script>
+ 
+<script type="application/shiny-prerendered" data-context="server">
+`tutorial-exercise-lm-plot-result` <- learnr:::setup_exercise_handler(reactive(req(input$`tutorial-exercise-lm-plot-code-editor`)), session)
+output$`tutorial-exercise-lm-plot-output` <- renderUI({
+  `tutorial-exercise-lm-plot-result`()
+})
+</script>
+
+
+<script type="application/shiny-prerendered" data-context="server">
+learnr:::store_exercise_cache(structure(list(label = "lm-plot", global_setup = structure(c("library(learnr)", 
+"library(readxl)", "gameData <- read_excel(\"bgg_dataset.xlsx\", sheet = \"Sheet\")", 
+"knitr::opts_chunk$set(echo = FALSE)"), chunk_opts = list(label = "setup", 
+    include = FALSE)), setup = NULL, chunks = list(list(label = "lm-plot", 
+    code = "raters <- gameData$\"Users Rated\"\nowned <- gameData$\"Owned Users\"\nx = lm()\nplot(, , pch = 16, col = \"blue\")\n", 
+    opts = list(label = "\"lm-plot\"", exercise = "TRUE", exercise.lines = "5"), 
+    engine = "r")), code_check = NULL, error_check = NULL, check = NULL, 
+    solution = NULL, tests = NULL, options = list(eval = FALSE, 
+        echo = TRUE, results = "markup", tidy = FALSE, tidy.opts = NULL, 
+        collapse = FALSE, prompt = FALSE, comment = NA, highlight = FALSE, 
+        size = "normalsize", background = "#F7F7F7", strip.white = TRUE, 
+        cache = 0, cache.path = "tutorial_page_cache/html/", 
+        cache.vars = NULL, cache.lazy = TRUE, dependson = NULL, 
+        autodep = FALSE, cache.rebuild = FALSE, fig.keep = "high", 
+        fig.show = "asis", fig.align = "default", fig.path = "tutorial_page_files/figure-html/", 
+        dev = "png", dev.args = NULL, dpi = 192, fig.ext = "png", 
+        fig.width = 6.5, fig.height = 4, fig.env = "figure", 
+        fig.cap = NULL, fig.scap = NULL, fig.lp = "fig:", fig.subcap = NULL, 
+        fig.pos = "", out.width = 624, out.height = NULL, out.extra = NULL, 
+        fig.retina = 2, external = TRUE, sanitize = FALSE, interval = 1, 
+        aniopts = "controls,loop", warning = TRUE, error = FALSE, 
+        message = TRUE, render = NULL, ref.label = NULL, child = NULL, 
+        engine = "r", split = FALSE, include = TRUE, purl = TRUE, 
+        max.print = 1000, label = "lm-plot", exercise = TRUE, 
+        exercise.lines = 5, code = c("raters <- gameData$\"Users Rated\"", 
+        "owned <- gameData$\"Owned Users\"", "x = lm()", "plot(, , pch = 16, col = \"blue\")", 
+        ""), out.width.px = 624, out.height.px = 384, params.src = "lm-plot, exercise=TRUE, exercise.lines=5", 
+        fig.num = 0, exercise.df_print = "paged", exercise.checker = "NULL"), 
+    engine = "r", version = "4"), class = c("r", "tutorial_exercise"
+)))
+</script>
+ 
+<script type="application/shiny-prerendered" data-context="server">
+learnr:::question_prerendered_chunk(structure(list(type = "learnr_radio", label = "hypothesis-quiz-1", 
+    question = structure("Spiele mit hoeherem Complexity Score haben eine niedrigere Anzahl von Owned Users.", html = TRUE, class = c("html", 
+    "character")), answers = list(structure(list(id = "lnr_ans_b9f351b", 
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+        "character")), correct = TRUE, message = NULL, type = "literal"), class = c("tutorial_question_answer", 
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+    "character")), try_again = structure("<span data-i18n=\"button.questiontryagain\">Try Again<\u002fspan>", html = TRUE, class = c("html", 
+    "character"))), messages = list(correct = structure("Correct!", html = TRUE, class = c("html", 
+    "character")), try_again = structure("Incorrect", html = TRUE, class = c("html", 
+    "character")), incorrect = structure("Incorrect", html = TRUE, class = c("html", 
+    "character")), message = NULL, post_message = NULL), ids = list(
+        answer = "hypothesis-quiz-1-answer", question = "hypothesis-quiz-1"), 
+    loading = NULL, random_answer_order = FALSE, allow_retry = FALSE, 
+    seed = 1862864360.63254, options = list()), class = c("learnr_radio", 
+"tutorial_question")), session = session)
+</script>
+
+
+<script type="application/shiny-prerendered" data-context="server">
+learnr:::question_prerendered_chunk(structure(list(type = "learnr_radio", label = "hypothesis-quiz-2", 
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+    "character")), answers = list(structure(list(id = "lnr_ans_69aeae9", 
+        option = "Wahr", value = "Wahr", label = structure("Wahr", html = TRUE, class = c("html", 
+        "character")), correct = TRUE, message = NULL, type = "literal"), class = c("tutorial_question_answer", 
+    "tutorial_quiz_answer")), structure(list(id = "lnr_ans_367d8d6", 
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+    "tutorial_quiz_answer"))), button_labels = list(submit = structure("<span data-i18n=\"button.questionsubmit\">Submit Answer<\u002fspan>", html = TRUE, class = c("html", 
+    "character")), try_again = structure("<span data-i18n=\"button.questiontryagain\">Try Again<\u002fspan>", html = TRUE, class = c("html", 
+    "character"))), messages = list(correct = structure("Correct!", html = TRUE, class = c("html", 
+    "character")), try_again = structure("Incorrect", html = TRUE, class = c("html", 
+    "character")), incorrect = structure("Incorrect", html = TRUE, class = c("html", 
+    "character")), message = NULL, post_message = NULL), ids = list(
+        answer = "hypothesis-quiz-2-answer", question = "hypothesis-quiz-2"), 
+    loading = NULL, random_answer_order = FALSE, allow_retry = FALSE, 
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You may have forgotten to fill in a blank, to remove an underscore, to include a comma between arguments, or to close an opening <code>&quot;<\\/code>, <code>'<\\/code>, <code>(<\\/code> or <code>{<\\/code> with a matching <code>&quot;<\\/code>, <code>'<\\/code>, <code>)<\\/code> or <code>}<\\/code>.\\n\",\"unparsablequotes\":\"<p>It looks like your R code contains specially formatted quotation marks or &quot;curly&quot; quotes (<code>{{character}}<\\/code>) around character strings, making your code invalid. R requires character values to be contained in straight quotation marks (<code>&quot;<\\/code> or <code>'<\\/code>).<\\/p> {{code}} <p>Don't worry, this is a common source of errors when you copy code from another app that applies its own formatting to text. You can try replacing the code on that line with the following. There may be other places that need to be fixed, too.<\\/p> {{suggestion}}\\n\",\"unparsableunicode\":\"<p>It looks like your R code contains an unexpected special character (<code>{{character}}<\\/code>) that makes your code invalid.<\\/p> {{code}} <p>Sometimes your code may contain a special character that looks like a regular character, especially if you copy and paste the code from another app. Try deleting the special character from your code and retyping it manually.<\\/p>\\n\",\"unparsableunicodesuggestion\":\"<p>It looks like your R code contains an unexpected special character (<code>{{character}}<\\/code>) that makes your code invalid.<\\/p> {{code}} <p>Sometimes your code may contain a special character that looks like a regular character, especially if you copy and paste the code from another app. You can try replacing the code on that line with the following. There may be other places that need to be fixed, too.<\\/p> {{suggestion}}\\n\",\"and\":\"and\",\"or\":\"or\",\"listcomma\":\", \",\"oxfordcomma\":\",\"}}},\"fr\":{\"translation\":{\"button\":{\"runcode\":\"Lancer le Code\",\"runcodetitle\":\"$t(button.runcode) ({{kbd}})\",\"hint\":\"Indication\",\"hint_plural\":\"Indications\",\"hinttitle\":\"$t(button.hint)\",\"hintnext\":\"Indication Suivante\",\"hintprev\":\"Indication Précédente\",\"solution\":\"Solution\",\"solutiontitle\":\"$t(button.solution)\",\"copyclipboard\":\"Copier dans le Presse-papier\",\"startover\":\"Recommencer\",\"startovertitle\":\"$t(button.startover)\",\"continue\":\"Continuer\",\"submitanswer\":\"Soumettre\",\"submitanswertitle\":\"$t(button.submitanswer)\",\"previoustopic\":\"Chapitre Précédent\",\"nexttopic\":\"Chapitre Suivant\",\"questionsubmit\":\"$t(button.submitanswer)\",\"questiontryagain\":\"Réessayer\"},\"text\":{\"startover\":\"Recommencer\",\"areyousure\":\"Êtes-vous certains de vouloir recommencer? (La progression sera remise à zéro)\",\"youmustcomplete\":\"Vous devez d'abord compléter\",\"exercise\":\"l'exercice\",\"exercise_plural\":\"des exercices\",\"inthissection\":\"de cette section avec de continuer.\",\"code\":\"Code\",\"enginecap\":\"$t(text.code) {{engine}}\",\"quiz\":\"Quiz\",\"and\":\"et\",\"or\":\"ou\",\"oxfordcomma\":\"\"}}},\"es\":{\"translation\":{\"button\":{\"runcode\":\"Ejecutar código\",\"runcodetitle\":\"$t(button.runcode) ({{kbd}})\",\"hint\":\"Pista\",\"hint_plural\":\"Pistas\",\"hinttitle\":\"$t(button.hint)\",\"hintnext\":\"Siguiente pista\",\"hintprev\":\"Pista anterior\",\"solution\":\"Solución\",\"solutiontitle\":\"$t(button.solution)\",\"copyclipboard\":\"Copiar al portapapeles\",\"startover\":\"Reiniciar\",\"startovertitle\":\"$t(button.startover)\",\"continue\":\"Continuar\",\"submitanswer\":\"Enviar respuesta\",\"submitanswertitle\":\"$t(button.submitanswer)\",\"previoustopic\":\"Tema anterior\",\"nexttopic\":\"Tema siguiente\",\"questionsubmit\":\"$t(button.submitanswer)\",\"questiontryagain\":\"Volver a intentar\"},\"text\":{\"startover\":\"Reiniciar\",\"areyousure\":\"¿De verdad quieres empezar de nuevo? (todo el progreso del ejercicio se perderá)\",\"youmustcomplete\":\"Debes completar\",\"exercise\":\"el ejercicio\",\"exercise_plural\":\"los ejercicios\",\"inthissection\":\"en esta sección antes de continuar.\",\"code\":\"Código\",\"enginecap\":\"$t(text.code) {{engine}}\",\"quiz\":\"Cuestionario\",\"and\":\"y\",\"or\":\"o\",\"oxfordcomma\":\"\"}}},\"pt\":{\"translation\":{\"button\":{\"runcode\":\"Executar código\",\"runcodetitle\":\"$t(button.runcode) ({{kbd}})\",\"hint\":\"Dica\",\"hint_plural\":\"Dicas\",\"hinttitle\":\"$t(button.hint)\",\"hintnext\":\"Próxima dica\",\"hintprev\":\"Dica anterior\",\"solution\":\"Solução\",\"solutiontitle\":\"$t(button.solution)\",\"copyclipboard\":\"Copiar para a área de transferência\",\"startover\":\"Reiniciar\",\"startovertitle\":\"$t(button.startover)\",\"continue\":\"Continuar\",\"submitanswer\":\"Enviar resposta\",\"submitanswertitle\":\"$t(button.submitanswer)\",\"previoustopic\":\"Tópico anterior\",\"nexttopic\":\"Próximo tópico\",\"questionsubmit\":\"$t(button.submitanswer)\",\"questiontryagain\":\"Tentar novamente\"},\"text\":{\"startover\":\"Reiniciar\",\"areyousure\":\"Tem certeza que deseja começar novamente? (todo o progresso feito será perdido)\",\"youmustcomplete\":\"Você deve completar\",\"exercise\":\"o exercício\",\"exercise_plural\":\"os exercícios\",\"inthissection\":\"nesta seção antes de continuar.\",\"code\":\"Código\",\"enginecap\":\"$t(text.code) {{engine}}\",\"quiz\":\"Quiz\",\"and\":\"e\",\"or\":\"ou\",\"oxfordcomma\":\"\"}}},\"tr\":{\"translation\":{\"button\":{\"runcode\":\"Çalıştırma Kodu\",\"runcodetitle\":\"$t(button.runcode) ({{kbd}})\",\"hint\":\"Ipucu\",\"hint_plural\":\"İpuçları\",\"hinttitle\":\"$t(button.hint)\",\"hintnext\":\"Sonraki İpucu\",\"hintprev\":\"Önceki İpucu\",\"solution\":\"Çözüm\",\"solutiontitle\":\"$t(button.solution)\",\"copyclipboard\":\"Pano'ya Kopyala\",\"startover\":\"Baştan Başlamak\",\"startovertitle\":\"$t(button.startover)\",\"continue\":\"Devam et\",\"submitanswer\":\"Cevabı onayla\",\"submitanswertitle\":\"$t(button.submitanswer)\",\"previoustopic\":\"Önceki Konu\",\"nexttopic\":\"Sonraki Konu\",\"questionsubmit\":\"$t(button.submitanswer)\",\"questiontryagain\":\"Tekrar Deneyin\"},\"text\":{\"startover\":\"Baştan Başlamak\",\"areyousure\":\"Baştan başlamak istediğinizden emin misiniz? (tüm egzersiz ilerlemesi kaybolacak)\",\"youmustcomplete\":\"Tamamlamalısın\",\"exercise\":\"egzersiz\",\"exercise_plural\":\"egzersizler\",\"inthissection\":\"devam etmeden önce bu bölümde\",\"code\":\"Kod\",\"enginecap\":\"$t(text.code) {{engine}}\",\"quiz\":\"Sınav\",\"oxfordcomma\":\"\"}}},\"emo\":{\"translation\":{\"button\":{\"runcode\":\"🏃\",\"runcodetitle\":\"$t(button.runcode) ({{kbd}})\",\"hint\":\"💡\",\"hint_plural\":\"$t(button.hint)\",\"hinttitle\":\"$t(button.hint)\",\"solution\":\"🎯\",\"solutiontitle\":\"$t(button.solution)\",\"copyclipboard\":\"📋\",\"startover\":\"⏮\",\"startovertitle\":\"Start Over\",\"continue\":\"✅\",\"submitanswer\":\"🆗\",\"submitanswertitle\":\"Submit Answer\",\"previoustopic\":\"⬅\",\"nexttopic\":\"➡\",\"questionsubmit\":\"$t(button.submitanswer)\",\"questiontryagain\":\"🔁\"},\"text\":{\"startover\":\"⏮\",\"areyousure\":\"🤔\",\"youmustcomplete\":\"⚠️ 👉 🧑‍💻\",\"exercise\":\"\",\"exercise_plural\":\"\",\"inthissection\":\"\",\"code\":\"💻\",\"enginecap\":\"$t(text.code) {{engine}}\",\"oxfordcomma\":\"\"}}},\"eu\":{\"translation\":{\"button\":{\"runcode\":\"Kodea egikaritu\",\"runcodetitle\":\"$t(button.runcode) ({{kbd}})\",\"hint\":\"Laguntza\",\"hint_plural\":\"Laguntza\",\"hinttitle\":\"$t(button.hint)\",\"hintnext\":\"Aurreko laguntza\",\"hintprev\":\"Hurrengo laguntza\",\"solution\":\"Ebazpena\",\"solutiontitle\":\"$t(button.solution)\",\"copyclipboard\":\"Arbelean kopiatu\",\"startover\":\"Berrabiarazi\",\"startovertitle\":\"$t(button.startover)\",\"continue\":\"Jarraitu\",\"submitanswer\":\"Erantzuna bidali\",\"submitanswertitle\":\"$t(button.submitanswer)\",\"previoustopic\":\"Aurreko atala\",\"nexttopic\":\"Hurrengo atala\",\"questionsubmit\":\"$t(button.submitanswer)\",\"questiontryagain\":\"Berriro saiatu\"},\"text\":{\"startover\":\"Berrabiarazi\",\"areyousure\":\"Berriro hasi nahi duzu? (egindako lana galdu egingo da)\",\"youmustcomplete\":\"Aurrera egin baino lehen atal honetako\",\"exercise\":\"ariketa egin behar duzu.\",\"exercise_plural\":\"ariketak egin behar dituzu.\",\"inthissection\":\"\",\"code\":\"Kodea\",\"enginecap\":\"$t(text.code) {{engine}}\",\"quiz\":\"Galdetegia\",\"oxfordcomma\":\"\"}}},\"de\":{\"translation\":{\"button\":{\"runcode\":\"Code ausführen\",\"runcodetitle\":\"$t(button.runcode) ({{kbd}})\",\"hint\":\"Tipp\",\"hint_plural\":\"Tipps\",\"hinttitle\":\"$t(button.hint)\",\"hintnext\":\"Nächster Tipp\",\"hintprev\":\"Vorheriger Tipp\",\"solution\":\"Lösung\",\"solutiontitle\":\"$t(button.solution)\",\"copyclipboard\":\"In die Zwischenablage kopieren\",\"startover\":\"Neustart\",\"startovertitle\":\"$t(button.startover)\",\"continue\":\"Weiter\",\"submitanswer\":\"Antwort einreichen\",\"submitanswertitle\":\"$t(button.submitanswer)\",\"previoustopic\":\"Vorheriges Kapitel\",\"nexttopic\":\"Nächstes Kapitel\",\"questionsubmit\":\"$t(button.submitanswer)\",\"questiontryagain\":\"Nochmal versuchen\"},\"text\":{\"startover\":\"Neustart\",\"areyousure\":\"Bist du sicher, dass du neustarten willst? (der gesamte Lernfortschritt wird gelöscht)\",\"youmustcomplete\":\"Vervollstädinge\",\"exercise\":\"die Übung\",\"exercise_plural\":\"die Übungen\",\"inthissection\":\"in diesem Kapitel, bevor du fortfährst.\",\"code\":\"Code\",\"enginecap\":\"$t(text.code) {{engine}}\",\"quiz\":\"Quiz\",\"blank\":\"Lücke\",\"blank_plural\":\"Lücken\",\"pleasereplaceblank\":\"Bitte ersetze {{blank}} mit gültigem Code.\",\"unparsable\":\"Dies scheint kein gültiger R Code zu sein. R kann deinen Text nicht in einen gültigen Befehl übersetzen. Du hast vielleicht vergessen, die Lücke zu füllen, einen Unterstrich zu entfernen, ein Komma zwischen Argumente zu setzen oder ein eröffnendes <code>&quot;<\\/code>, <code>'<\\/code>, <code>(<\\/code> oder <code>{<\\/code> mit einem zugehörigen <code>&quot;<\\/code>, <code>'<\\/code>, <code>)<\\/code> oder <code>}<\\/code> zu schließen.\\n\",\"and\":\"und\",\"or\":\"oder\",\"listcomma\":\", \",\"oxfordcomma\":\",\"}}},\"ko\":{\"translation\":{\"button\":{\"runcode\":\"코드 실행\",\"runcodetitle\":\"$t(button.runcode) ({{kbd}})\",\"hint\":\"힌트\",\"hint_plural\":\"힌트들\",\"hinttitle\":\"$t(button.hint)\",\"hintnext\":\"다음 힌트\",\"hintprev\":\"이전 힌트\",\"solution\":\"솔루션\",\"solutiontitle\":\"$t(button.solution)\",\"copyclipboard\":\"클립보드에 복사\",\"startover\":\"재학습\",\"startovertitle\":\"$t(button.startover)\",\"continue\":\"다음 학습으로\",\"submitanswer\":\"정답 제출\",\"submitanswertitle\":\"$t(button.submitanswer)\",\"previoustopic\":\"이전 토픽\",\"nexttopic\":\"다음 토픽\",\"questionsubmit\":\"$t(button.submitanswer)\",\"questiontryagain\":\"재시도\"},\"text\":{\"startover\":\"재학습\",\"areyousure\":\"다시 시작 하시겠습니까? (모든 예제의 진행 정보가 재설정됩니다)\",\"youmustcomplete\":\"당신은 완료해야 합니다\",\"exercise\":\"연습문제\",\"exercise_plural\":\"연습문제들\",\"inthissection\":\"이 섹션을 실행하기 전에\",\"code\":\"코드\",\"enginecap\":\"$t(text.code) {{engine}}\",\"quiz\":\"퀴즈\",\"blank\":\"공백\",\"blank_plural\":\"공백들\",\"exercisecontainsblank\":\"이 연습문제에는 {{count}}개의 $t(text.blank)이 포함되어 있습니다.\",\"pleasereplaceblank\":\"{{blank}}를 유효한 코드로 바꾸십시오.\",\"unparsable\":\"이것은 유효한 R 코드가 아닐 수 있습니다. R은 텍스트를 완전한 명령으로 변환하는 방법을 결정할 수 없습니다. 당신은 공백이나 밑줄을 대체하여 채우기, 인수를 컴마로 구분하기, 또는 <code>&quot;<\\/code>, <code>'<\\/code>, <code>(<\\/code> , <code>{<\\/code>로 시작하는 구문을 닫는 <code>&quot;<\\/code>, <code>'<\\/code>, <code>)<\\/code>, <code>}<\\/code>을 잊었을 수도 있습니다.\\n\",\"and\":\"그리고\",\"or\":\"혹은\",\"listcomma\":\", \",\"oxfordcomma\":\"\"}}},\"zh\":{\"translation\":{\"button\":{\"runcode\":\"运行代码\",\"runcodetitle\":\"$t(button.runcode) ({{kbd}})\",\"hint\":\"提示\",\"hint_plural\":\"提示\",\"hinttitle\":\"$t(button.hint)\",\"hintnext\":\"下一个提示\",\"hintprev\":\"上一个提示\",\"solution\":\"答案\",\"solutiontitle\":\"$t(button.solution)\",\"copyclipboard\":\"复制到剪切板\",\"startover\":\"重新开始\",\"startovertitle\":\"$t(button.startover)\",\"continue\":\"继续\",\"submitanswer\":\"提交答案\",\"submitanswertitle\":\"$t(button.submitanswer)\",\"previoustopic\":\"上一专题\",\"nexttopic\":\"下一专题\",\"questionsubmit\":\"$t(button.submitanswer)\",\"questiontryagain\":\"再试一次\"},\"text\":{\"startover\":\"重置\",\"areyousure\":\"你确定要重新开始吗? (所有当前进度将被重置)\",\"youmustcomplete\":\"你必须完成\",\"exercise\":\"练习\",\"exercise_plural\":\"练习\",\"inthissection\":\"在进行本节之前\",\"code\":\"代码\",\"enginecap\":\"$t(text.code) {{engine}}\",\"quiz\":\"测试\",\"blank\":\"空\",\"blank_plural\":\"空\",\"exercisecontainsblank\":\"本练习包含{{count}}个$t(text.blank)\",\"pleasereplaceblank\":\"请在{{blank}}内填写恰当的代码\",\"unparsable\":\"这似乎不是有效的R代码。 R不知道如何将您的文本转换为完整的命令。 您是否忘了填空，忘了删除下划线，忘了在参数之间包含逗号，或者是忘了用<code>&quot;<\\/code>, <code>'<\\/code>, <code>)<\\/code>,<code>}<\\/code>来封闭<code>&quot;<\\/code>, <code>'<\\/code>, <code>(<\\/code>。 or <code>{<\\/code>。\\n\",\"unparsablequotes\":\"<p>您的R代码中似乎含有特殊格式的引号，或者弯引号(<code>{{character}}<\\/code>) 在字符串前后，在R中字符串应该被直引号(<code>&quot;<\\/code> 或者 <code>'<\\/code>)包裹。<\\/p> {{code}} <p>别担心，该错误经常在复制粘贴包含格式的代码时遇到， 您可以尝试将该行中的代码替换为以下代码，也许还有其他地方需要修改。<\\/p> {{suggestion}}\\n\",\"unparsableunicode\":\"<p>您的代码中似乎包含有异常字符(<code>{{character}}<\\/code>),导致代码无效。<\\/p> {{code}} <p>有时候你的代码可能含有看似正常字符的特殊字符，特别是当你复制粘贴其他来源代码的时候。 请试着删除这些特殊字符,重新输入<\\/p>\\n\",\"unparsableunicodesuggestion\":\"<p>您的代码中似乎包含有异常字符(<code>{{character}}<\\/code>),导致代码无效。<\\/p> {{code}} <p>有时候你的代码可能含有看似正常字符的特殊字符，特别是当你复制粘贴其他来源代码的时候。 请试着删除这些特殊字符,重新输入<\\/p>\\n\",\"and\":\"且\",\"or\":\"或\",\"listcomma\":\",\",\"oxfordcomma\":\",\"}}},\"pl\":{\"translation\":{\"button\":{\"runcode\":\"Uruchom kod\",\"runcodetitle\":\"$t(button.runcode) ({{kbd}})\",\"hint\":\"Podpowiedź\",\"hint_plural\":\"Podpowiedzi\",\"hinttitle\":\"$t(button.hint)\",\"hintnext\":\"Następna podpowiedź\",\"hintprev\":\"Poprzednia podpowiedź\",\"solution\":\"Rozwiązanie\",\"solutiontitle\":\"$t(button.solution)\",\"copyclipboard\":\"Kopiuj do schowka\",\"startover\":\"Zacznij od początku\",\"startovertitle\":\"$t(button.startover)\",\"continue\":\"Kontynuuj\",\"submitanswer\":\"Wyślij\",\"submitanswertitle\":\"$t(button.submitanswer)\",\"previoustopic\":\"Poprzednia sekcja\",\"nexttopic\":\"Następna sekcja\",\"questionsubmit\":\"$t(button.submitanswer)\",\"questiontryagain\":\"Spróbuj ponownie\"},\"text\":{\"startover\":\"Zacznij od początku\",\"areyousure\":\"Czy na pewno chcesz zacząć od początku? (cały postęp w zadaniu zostanie utracony)\",\"youmustcomplete\":\"Musisz ukończyć\",\"exercise\":\"ćwiczenie\",\"exercise_plural\":\"ćwiczenia\",\"inthissection\":\"w tej sekcji przed kontynuowaniem\",\"code\":\"Kod\",\"enginecap\":\"$t(text.code) {{engine}}\",\"quiz\":\"Quiz\",\"blank\":\"luka\",\"blank_plural\":\"luk(i)\",\"exercisecontainsblank\":\"To ćwiczenie zawiera {{count}} $t(text.blank).\",\"pleasereplaceblank\":\"Proszę uzupełnić {{blank}} prawidłowym kodem.\",\"unparsable\":\"Wygląda na to, że może to nie być prawidłowy kod R. R nie jest w stanie przetworzyć Twojego tekstu na polecenie. Mogłeś(-aś) zapomnieć wypełnić luki, usunąć podkreślnik, umieścić przecinka między argumentami, lub zamknąć znak <code>&quot;<\\/code>, <code>'<\\/code>, <code>(<\\/code> lub <code>{<\\/code> odpowiadającym <code>&quot;<\\/code>, <code>'<\\/code>, <code>)<\\/code> lub <code>}<\\/code>.\\n\",\"unparsablequotes\":\"<p>Wygląda na to, że Twój kod zawiera szczególnie sformatowane cudzysłowy lub cudzysłowy typograficzne (<code>{{character}}<\\/code>) przy ciągach znaków, co sprawia, że kod jest niepoprawny. R wymaga cudzysłowów prostych (<code>&quot;<\\/code> albo <code>'<\\/code>).<\\/p> {{code}} <p>Nie martw się, to powszechne źródło błędów, gdy kopiuje się kod z innego programu, który sam formatuje teskt. Możesz spróbować zastąpić swój kod następującym kodem. 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