diff --git a/tutorial_page.Rmd b/tutorial_page.Rmd index a8883f8baec45c2662ca56d078e9b8fa327486d0..68445c80e31c9f0c1bc53b441090380145ddfe28 100644 --- a/tutorial_page.Rmd +++ b/tutorial_page.Rmd @@ -7,6 +7,7 @@ runtime: shiny_prerendered ```{r setup, include=FALSE} library(learnr) library(readxl) +library("ggplot2") options(scipen = 10) gameData <- read_excel("bgg_dataset.xlsx", sheet = "Sheet") knitr::opts_chunk$set(echo = FALSE) @@ -93,9 +94,18 @@ Nur eine Spalte aus dem Datensatz lässt sich wie folgt lesen: gameData$`Year Published` ``` -You can swap `Year Published` with every column if the set and try it out! +#### Zeit zum üben! +Schreiben Sie den Code, um die Spalte `Mechanics`zu lesen: -Wie du weitere Dateientypen einlesen und benutzen kannst, findest du in diesem [Tutorial von Björn Walther](https://bjoernwalther.com/daten-in-r-importieren/). +```{r read-mechanics-column, exercise=TRUE} + +``` +```{r read-mechanics-column-hint} +gameData$`Mechanics` + +``` + +Wie Sie weitere Dateientypen einlesen und benutzen kannst, finden Sie in diesem [Tutorial von Björn Walther](https://bjoernwalther.com/daten-in-r-importieren/). ### Leerstellen beheben @@ -167,7 +177,7 @@ Dieser Befehl entfernt Sonderzeichen in der Spalte "Mechanics". 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. -### Jetzt bist du dran! Teste was du in diesem Abschnitt über Daten einlesen gelernt hast: +### Jetzt sind Sie dran! Testen Sie was Sie in diesem Abschnitt über Daten einlesen gelernt haben: ```{r second-quiz} quiz( @@ -317,10 +327,114 @@ quiz( ## Ergebnispräsentation +In diesem Kapitel beschäftigen wir uns mit ausgewählten grafischen Darstellungsmöglichkeiten von Daten und wie man diese in RStudio erstellen kann. ### Streudiagramm +Ein Steudiagramm wird häufig verwendet, um einen Zusammenhang zwischen Variablen darzustellen. In RStudio kann man mit Hilfe des plot()-Befehls ein solches Streudiagramm erzeugen. +Hier ein Beispiel: + +```{r plot} +plot(gameData[["Year Published"]],gameData[["ID"]],ylab="ID des Spiels", xlab="Veröffentlichung des Spiels", main="Zusammenhang ID und Erstveröffentlichung eines Spiels",xlim=c(1960,2024)) + +``` +\ +Der Code für dieses Streudiagramms ist grob zusammengefasst: +\ +\ +**plot(gameData[["xxx"]],gameData[["yyy"]],xlim=c(a,z))** +\ +\ +Enthalten sind hier drei Parameter, die beiden Variablen und eine Begrenzung. Wobei xlim eine Begrenzung der x-Achse, und damit die Begrenzung der Werte von "xxx" darstellt, um ein genaueres Bild zu erhalten. +\ +\ +\ +\ +Erstellen Sie nun anhand des Beispiels ein einfaches Streudiagramm welches den Zusammenhang zwischen "Min Age" und "Complexity Average" darstellt: +```{r plotExercise, exercise=TRUE} + +``` +```{r plotExercise-hint} +plot(gameData[["Complexity Average"]],gameData[["Min Age"]]) + +``` +\ +\ + +### Boxplot-Diagramm +Ein Boxplot ist ein Diagramm, dass verschiedene Lageparameter und Streuparameter abbildet und damit einen ersten groben Überblick über eine Verteilung gibt. Meistens verwendet man einen Boxplot um schnell eine Übersicht über Median, Quartile, Minimal- und Maximalwerte sowie Ausreißer zu erhalten. +\ +Folgend ein Beispiel: +```{r ggplot} +ggplot(gameData, aes(y = .data[["Play Time"]], group = .data[["Year Published"]], x = .data[["Year Published"]])) + geom_boxplot() + coord_cartesian(xlim = c(2000, 2020)) + +``` +\ +\ +Anhand des Beispiels nun ein kleines Quiz zur Verdeutlichung der Begrifflichkeiten: \ +```{r quiz-ggplot} +quiz( + question("Was ist der Median im Diagramm?", + answer("ein vertikaler Strich"), + answer("die Höhe der Box"), + answer("ein horizontaler Strich in der Mitter der Box", correct = TRUE), + answer("das untere Ende der Box")), + + question("Was sind die Quartile im Diagramm?(Es sind mehrere Antworten möglich)", + answer("das obere Ende der Box", correct = TRUE), + answer("Punkte oberhalb der Box"), + answer("ein Drittel des vertikalen Strichs"), + answer("das untere Ende der Box", correct = TRUE)), + + question("Was sind die Maximalwerte im Diagramm?", + answer("Punkte oberhalb der Box"), + answer("die Spitzen des vertikalen Strichs", correct = TRUE), + answer("die x-Achse und die y-Achse"), + answer("die Flaeche der Box") + ), + question("An was erkennt man im Diagramm die Ausreißer?", + answer("es sind Punkte außerhalb der Box", correct = TRUE), + answer("an der Größe der Box"), + answer("durch schlechtes Verhalten") + + ) +) +``` +\ +\ +Um ein Boxplot-Diagramm zu erstellen, muss man das ggplot2-package installiert haben, der grobe Syntax fürs Diagramm selbst sieht wiefolgt aus: +\ +**ggplot(gameData, aes(y = .data[["xxx"]], group = .data[["yyy"]], x = .data[["yyy"]])) + geom_boxplot()** +\ +\ +\ +\ + +### Säulendiagramme +Das bekannte Säulendiagramm wird meistens verwendet um eine Veränderung im Laufe der Zeit zu zeigen. Mit Säulendiagrammen kann man Steigerung, Rückgang, Stagnation als auch eine Häufigkeitsverteilung deutlich zeigen. Um ein Säulendiagramm in R mit Häufigkeitsverteilung zu erhalten, gibt man den Befehl: +\ +\ +**barplot(table(gameData[["xxx"]])** ein und kann um die Achsen näher zu beschreiben noch **xlab=""** und **ylab=""** einfügen. +\ +\ +Folgend ein Beispiel für ein Säulendiagramm mit Häufigkeitsverteilung: +\ +```{r barplot} +barplot(table(gameData[["Min Age"]]), xlab = "Altersfreigabe" , ylab = "Häufigkeit", + main = "Häufigkeit der Altersfreigaben" ) +``` +\ +\ +Geben Sie nun ein Säulendiagramm mit den Werten von "Complexity Average" und Achsenbeschriftung aus: +\ +```{r barplotExercise, exercise=TRUE} + + +``` +```{r barplotExercise-hint} +barplot(gameData[["Complexity Average"]], xlab = "Spiel" , ylab = "Score") + +``` -### Kein Plan ## Teaminfos diff --git a/tutorial_page.html b/tutorial_page.html index 0566a86d680d450b7410807e871c98b8b8a5569c..29b0d8c36fc75e1b930b56a02516f2f8da71eae2 100644 --- a/tutorial_page.html +++ b/tutorial_page.html @@ -225,9 +225,23 @@ data-lines="0" data-pipe="|>"> <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=\"{"engine":"R"}\">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 +</div> +<div id="section-zeit-zum-üben" class="section level4"> +<h4>Zeit zum üben!</h4> +<p>Schreiben Sie den Code, um die Spalte <code>Mechanics</code>zu +lesen:</p> +<div class="tutorial-exercise" data-label="read-mechanics-column" +data-completion="1" data-diagnostics="1" data-startover="1" +data-lines="0" data-pipe="|>"> +<script type="application/json" data-ui-opts="1">{"engine":"r","has_checker":false,"caption":"<span data-i18n=\"text.enginecap\" data-i18n-opts=\"{"engine":"R"}\">R Code<\/span>"}</script> +</div> +<div class="tutorial-exercise-support" +data-label="read-mechanics-column-hint" data-completion="1" +data-diagnostics="1" data-startover="1" data-lines="0" +data-pipe="|>"> +<pre class="text"><code>gameData$`Mechanics`</code></pre> +</div> +<p>Wie Sie weitere Dateientypen einlesen und benutzen kannst, finden Sie in diesem <a href="https://bjoernwalther.com/daten-in-r-importieren/">Tutorial von Björn Walther</a>.</p> @@ -331,10 +345,10 @@ 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" +id="section-jetzt-sind-sie-dran-testen-sie-was-sie-in-diesem-abschnitt-über-daten-einlesen-gelernt-haben" class="section level3"> -<h3>Jetzt bist du dran! Teste was du in diesem Abschnitt über Daten -einlesen gelernt hast:</h3> +<h3>Jetzt sind Sie dran! Testen Sie was Sie in diesem Abschnitt über +Daten einlesen gelernt haben:</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"> @@ -529,11 +543,131 @@ beweisen oder widerlegen.<br /> </div> <div id="section-ergebnispräsentation" class="section level2"> <h2>Ergebnispräsentation</h2> +<p>In diesem Kapitel beschäftigen wir uns mit ausgewählten grafischen +Darstellungsmöglichkeiten von Daten und wie man diese in RStudio +erstellen kann.</p> <div id="section-streudiagramm" class="section level3"> <h3>Streudiagramm</h3> +<p>Ein Steudiagramm wird häufig verwendet, um einen Zusammenhang +zwischen Variablen darzustellen. In RStudio kann man mit Hilfe des +plot()-Befehls ein solches Streudiagramm erzeugen. Hier ein +Beispiel:</p> +<img src="tutorial_page_files/figure-html/plot-1.png" width="624" /><br /> +Der Code für dieses Streudiagramms ist grob zusammengefasst:<br /> +<br /> +<strong>plot(gameData[[“xxxâ€]],gameData[[“yyyâ€]],xlim=c(a,z))</strong><br /> +<br /> +Enthalten sind hier drei Parameter, die beiden Variablen und eine +Begrenzung. Wobei xlim eine Begrenzung der x-Achse, und damit die +Begrenzung der Werte von “xxx†darstellt, um ein genaueres Bild zu +erhalten.<br /> +<br /> +<br /> +<br /> +Erstellen Sie nun anhand des Beispiels ein einfaches Streudiagramm +welches den Zusammenhang zwischen “Min Age†und “Complexity Average†+darstellt: +<div class="tutorial-exercise" data-label="plotExercise" +data-completion="1" data-diagnostics="1" data-startover="1" +data-lines="0" data-pipe="|>"> +<script type="application/json" data-ui-opts="1">{"engine":"r","has_checker":false,"caption":"<span data-i18n=\"text.enginecap\" data-i18n-opts=\"{"engine":"R"}\">R Code<\/span>"}</script> +</div> +<div class="tutorial-exercise-support" data-label="plotExercise-hint" +data-completion="1" data-diagnostics="1" data-startover="1" +data-lines="0" data-pipe="|>"> +<pre class="text"><code>plot(gameData[["Complexity Average"]],gameData[["Min Age"]])</code></pre> +</div> +<p><br /> +<br /> +</p> +</div> +<div id="section-boxplot-diagramm" class="section level3"> +<h3>Boxplot-Diagramm</h3> +<p>Ein Boxplot ist ein Diagramm, dass verschiedene Lageparameter und +Streuparameter abbildet und damit einen ersten groben Überblick über +eine Verteilung gibt. Meistens verwendet man einen Boxplot um schnell +eine Übersicht über Median, Quartile, Minimal- und Maximalwerte sowie +Ausreißer zu erhalten.<br /> +Folgend ein Beispiel: +<img src="tutorial_page_files/figure-html/ggplot-1.png" width="624" /><br /> +<br /> +Anhand des Beispiels nun ein kleines Quiz zur Verdeutlichung der +Begrifflichkeiten:<br /> +</p> +<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-ggplot-1" class="tutorial-question panel-body"> +<div id="quiz-ggplot-1-answer_container" class="shiny-html-output"></div> +<div id="quiz-ggplot-1-message_container" class="shiny-html-output"></div> +<div id="quiz-ggplot-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-ggplot-2" class="tutorial-question panel-body"> +<div id="quiz-ggplot-2-answer_container" class="shiny-html-output"></div> +<div id="quiz-ggplot-2-message_container" class="shiny-html-output"></div> +<div id="quiz-ggplot-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="quiz-ggplot-3" class="tutorial-question panel-body"> +<div id="quiz-ggplot-3-answer_container" class="shiny-html-output"></div> +<div id="quiz-ggplot-3-message_container" class="shiny-html-output"></div> +<div id="quiz-ggplot-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="quiz-ggplot-4" class="tutorial-question panel-body"> +<div id="quiz-ggplot-4-answer_container" class="shiny-html-output"></div> +<div id="quiz-ggplot-4-message_container" class="shiny-html-output"></div> +<div id="quiz-ggplot-4-action_button_container" class="shiny-html-output"></div> +<script>if (Tutorial.triggerMathJax) Tutorial.triggerMathJax()</script> +</div> +</div> +<p><br /> +<br /> +Um ein Boxplot-Diagramm zu erstellen, muss man das ggplot2-package +installiert haben, der grobe Syntax fürs Diagramm selbst sieht wiefolgt +aus:<br /> +<strong>ggplot(gameData, aes(y = .data[[“xxxâ€]], group = .data[[“yyyâ€]], +x = .data[[“yyyâ€]])) + geom_boxplot()</strong><br /> +<br /> +<br /> +<br /> +</p> +</div> +<div id="section-säulendiagramme" class="section level3"> +<h3>Säulendiagramme</h3> +Das bekannte Säulendiagramm wird meistens verwendet um eine Veränderung +im Laufe der Zeit zu zeigen. Mit Säulendiagrammen kann man Steigerung, +Rückgang, Stagnation als auch eine Häufigkeitsverteilung deutlich +zeigen. Um ein Säulendiagramm in R mit Häufigkeitsverteilung zu +erhalten, gibt man den Befehl:<br /> +<br /> +<strong>barplot(table(gameData[[“xxxâ€]])</strong> ein und kann um die +Achsen näher zu beschreiben noch **xlab=““** und +<strong>ylab=â€â€</strong> einfügen.<br /> +<br /> +Folgend ein Beispiel für ein Säulendiagramm mit +Häufigkeitsverteilung:<br /> +<img src="tutorial_page_files/figure-html/barplot-1.png" width="624" /><br /> +<br /> +Geben Sie nun ein Säulendiagramm mit den Werten vonâ€Complexity Average†+und Achsenbeschriftung aus:<br /> + +<div class="tutorial-exercise" data-label="barplotExercise" +data-completion="1" data-diagnostics="1" data-startover="1" +data-lines="0" data-pipe="|>"> +<script type="application/json" data-ui-opts="1">{"engine":"r","has_checker":false,"caption":"<span data-i18n=\"text.enginecap\" data-i18n-opts=\"{"engine":"R"}\">R Code<\/span>"}</script> +</div> +<div class="tutorial-exercise-support" data-label="barplotExercise-hint" +data-completion="1" data-diagnostics="1" data-startover="1" +data-lines="0" data-pipe="|>"> +<pre class="text"><code>barplot(gameData[["Complexity Average"]], xlab = "Spiel" , ylab = "Score")</code></pre> </div> -<div id="section-kein-plan" class="section level3"> -<h3>Kein Plan</h3> </div> </div> <div id="section-teaminfos" class="section level2"> @@ -550,6 +684,7 @@ beweisen oder widerlegen.<br /> <script type="application/shiny-prerendered" data-context="server-start"> library(learnr) library(readxl) +library("ggplot2") options(scipen = 10) gameData <- read_excel("bgg_dataset.xlsx", sheet = "Sheet") knitr::opts_chunk$set(echo = FALSE) @@ -585,7 +720,8 @@ output$`tutorial-exercise-install-readxl-output` <- renderUI({ <script type="application/shiny-prerendered" data-context="server"> learnr:::store_exercise_cache(structure(list(label = "install-readxl", global_setup = structure(c("library(learnr)", -"library(readxl)", "options(scipen = 10)", "gameData <- read_excel(\"bgg_dataset.xlsx\", sheet = \"Sheet\")", +"library(readxl)", "library(\"ggplot2\")", "options(scipen = 10)", +"gameData <- read_excel(\"bgg_dataset.xlsx\", sheet = \"Sheet\")", "knitr::opts_chunk$set(echo = FALSE)"), chunk_opts = list(label = "setup", include = FALSE)), setup = NULL, chunks = list(list(label = "install-readxl", code = "install.packages(\"readxl\")\nlibrary (readxl)", @@ -625,7 +761,8 @@ output$`tutorial-exercise-read-data-output` <- renderUI({ <script type="application/shiny-prerendered" data-context="server"> learnr:::store_exercise_cache(structure(list(label = "read-data", global_setup = structure(c("library(learnr)", -"library(readxl)", "options(scipen = 10)", "gameData <- read_excel(\"bgg_dataset.xlsx\", sheet = \"Sheet\")", +"library(readxl)", "library(\"ggplot2\")", "options(scipen = 10)", +"gameData <- read_excel(\"bgg_dataset.xlsx\", sheet = \"Sheet\")", "knitr::opts_chunk$set(echo = FALSE)"), chunk_opts = list(label = "setup", include = FALSE)), setup = NULL, chunks = list(list(label = "read-data", code = "gameData <- read_excel(\"bgg_dataset.xlsx\", sheet = \"Sheet\")", @@ -665,7 +802,8 @@ output$`tutorial-exercise-show-data-output` <- renderUI({ <script type="application/shiny-prerendered" data-context="server"> learnr:::store_exercise_cache(structure(list(label = "show-data", global_setup = structure(c("library(learnr)", -"library(readxl)", "options(scipen = 10)", "gameData <- read_excel(\"bgg_dataset.xlsx\", sheet = \"Sheet\")", +"library(readxl)", "library(\"ggplot2\")", "options(scipen = 10)", +"gameData <- read_excel(\"bgg_dataset.xlsx\", sheet = \"Sheet\")", "knitr::opts_chunk$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"), @@ -704,7 +842,8 @@ output$`tutorial-exercise-read-column-output` <- renderUI({ <script type="application/shiny-prerendered" data-context="server"> learnr:::store_exercise_cache(structure(list(label = "read-column", global_setup = structure(c("library(learnr)", -"library(readxl)", "options(scipen = 10)", "gameData <- read_excel(\"bgg_dataset.xlsx\", sheet = \"Sheet\")", +"library(readxl)", "library(\"ggplot2\")", "options(scipen = 10)", +"gameData <- read_excel(\"bgg_dataset.xlsx\", sheet = \"Sheet\")", "knitr::opts_chunk$set(echo = FALSE)"), chunk_opts = list(label = "setup", include = FALSE)), setup = NULL, chunks = list(list(label = "read-column", code = "gameData$`Year Published`", opts = list(label = "\"read-column\"", @@ -734,6 +873,46 @@ learnr:::store_exercise_cache(structure(list(label = "read-column", global_setup ))) </script> +<script type="application/shiny-prerendered" data-context="server"> +`tutorial-exercise-read-mechanics-column-result` <- learnr:::setup_exercise_handler(reactive(req(input$`tutorial-exercise-read-mechanics-column-code-editor`)), session) +output$`tutorial-exercise-read-mechanics-column-output` <- renderUI({ + `tutorial-exercise-read-mechanics-column-result`() +}) +</script> + + +<script type="application/shiny-prerendered" data-context="server"> +learnr:::store_exercise_cache(structure(list(label = "read-mechanics-column", global_setup = structure(c("library(learnr)", +"library(readxl)", "library(\"ggplot2\")", "options(scipen = 10)", +"gameData <- read_excel(\"bgg_dataset.xlsx\", sheet = \"Sheet\")", +"knitr::opts_chunk$set(echo = FALSE)"), chunk_opts = list(label = "setup", + include = FALSE)), setup = NULL, chunks = list(list(label = "read-mechanics-column", + code = "", opts = list(label = "\"read-mechanics-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 = "read-mechanics-column", exercise = TRUE, + code = "", out.width.px = 624, out.height.px = 384, params.src = "read-mechanics-column, 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-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({ @@ -744,7 +923,8 @@ output$`tutorial-exercise-remove-empties-column-output` <- renderUI({ <script type="application/shiny-prerendered" data-context="server"> learnr:::store_exercise_cache(structure(list(label = "remove-empties-column", global_setup = structure(c("library(learnr)", -"library(readxl)", "options(scipen = 10)", "gameData <- read_excel(\"bgg_dataset.xlsx\", sheet = \"Sheet\")", +"library(readxl)", "library(\"ggplot2\")", "options(scipen = 10)", +"gameData <- read_excel(\"bgg_dataset.xlsx\", sheet = \"Sheet\")", "knitr::opts_chunk$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$`Year Published`", @@ -785,7 +965,8 @@ output$`tutorial-exercise-remove-empties-output` <- renderUI({ <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)", "options(scipen = 10)", "gameData <- read_excel(\"bgg_dataset.xlsx\", sheet = \"Sheet\")", +"library(readxl)", "library(\"ggplot2\")", "options(scipen = 10)", +"gameData <- read_excel(\"bgg_dataset.xlsx\", sheet = \"Sheet\")", "knitr::opts_chunk$set(echo = FALSE)"), chunk_opts = list(label = "setup", include = FALSE)), setup = NULL, chunks = list(list(label = "remove-empties", code = "gameData <- lapply(gameData, trimws)\ngameData", @@ -825,7 +1006,8 @@ output$`tutorial-exercise-to-lowercase-column-output` <- renderUI({ <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)", "options(scipen = 10)", "gameData <- read_excel(\"bgg_dataset.xlsx\", sheet = \"Sheet\")", +"library(readxl)", "library(\"ggplot2\")", "options(scipen = 10)", +"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`", @@ -866,7 +1048,8 @@ output$`tutorial-exercise-replace-variable-output` <- renderUI({ <script type="application/shiny-prerendered" data-context="server"> learnr:::store_exercise_cache(structure(list(label = "replace-variable", global_setup = structure(c("library(learnr)", -"library(readxl)", "options(scipen = 10)", "gameData <- read_excel(\"bgg_dataset.xlsx\", sheet = \"Sheet\")", +"library(readxl)", "library(\"ggplot2\")", "options(scipen = 10)", +"gameData <- read_excel(\"bgg_dataset.xlsx\", sheet = \"Sheet\")", "knitr::opts_chunk$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$`Mechanics`", @@ -907,7 +1090,8 @@ output$`tutorial-exercise-replace-missing-variable-output` <- renderUI({ <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)", "options(scipen = 10)", "gameData <- read_excel(\"bgg_dataset.xlsx\", sheet = \"Sheet\")", +"library(readxl)", "library(\"ggplot2\")", "options(scipen = 10)", +"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)", @@ -947,7 +1131,8 @@ output$`tutorial-exercise-remove-duplicates-output` <- renderUI({ <script type="application/shiny-prerendered" data-context="server"> learnr:::store_exercise_cache(structure(list(label = "remove-duplicates", global_setup = structure(c("library(learnr)", -"library(readxl)", "options(scipen = 10)", "gameData <- read_excel(\"bgg_dataset.xlsx\", sheet = \"Sheet\")", +"library(readxl)", "library(\"ggplot2\")", "options(scipen = 10)", +"gameData <- read_excel(\"bgg_dataset.xlsx\", sheet = \"Sheet\")", "knitr::opts_chunk$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\"", @@ -987,7 +1172,8 @@ output$`tutorial-exercise-replace-special-chars-output` <- renderUI({ <script type="application/shiny-prerendered" data-context="server"> learnr:::store_exercise_cache(structure(list(label = "replace-special-chars", global_setup = structure(c("library(learnr)", -"library(readxl)", "options(scipen = 10)", "gameData <- read_excel(\"bgg_dataset.xlsx\", sheet = \"Sheet\")", +"library(readxl)", "library(\"ggplot2\")", "options(scipen = 10)", +"gameData <- read_excel(\"bgg_dataset.xlsx\", sheet = \"Sheet\")", "knitr::opts_chunk$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`)", @@ -1020,19 +1206,19 @@ learnr:::store_exercise_cache(structure(list(label = "replace-special-chars", gl <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_ca20291", + "character")), answers = list(structure(list(id = "lnr_ans_fab16f", 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_d955cae", + "tutorial_quiz_answer")), structure(list(id = "lnr_ans_dcc8b2f", 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_58176ef", + "tutorial_quiz_answer")), structure(list(id = "lnr_ans_4bc2e8c", 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_21ea4fa", + "tutorial_quiz_answer")), structure(list(id = "lnr_ans_1b7cf71", 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", @@ -1043,7 +1229,7 @@ learnr:::question_prerendered_chunk(structure(list(type = "learnr_radio", label "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 = 1369528815.86226, options = list()), class = c("learnr_radio", + seed = 494446241.269756, options = list()), class = c("learnr_radio", "tutorial_question")), session = session) </script> @@ -1051,16 +1237,16 @@ learnr:::question_prerendered_chunk(structure(list(type = "learnr_radio", label <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_39f493a", + "character")), answers = list(structure(list(id = "lnr_ans_99fd8c3", 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_e9e5f27", + "tutorial_quiz_answer")), structure(list(id = "lnr_ans_a6a1953", 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_e304c90", + "tutorial_quiz_answer")), structure(list(id = "lnr_ans_9e0048e", 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_b76a78f", + "tutorial_quiz_answer")), structure(list(id = "lnr_ans_b03b3ce", 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", @@ -1072,23 +1258,23 @@ learnr:::question_prerendered_chunk(structure(list(type = "learnr_radio", label "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 = 1855370276.13603, options = list()), class = c("learnr_radio", + seed = 973697199.046587, 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_f44c779", + "character")), answers = list(structure(list(id = "lnr_ans_955908", 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_4f8f5e", + "tutorial_quiz_answer")), structure(list(id = "lnr_ans_efd8107", 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_c900e27", + "tutorial_quiz_answer")), structure(list(id = "lnr_ans_f50fd5b", 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_84c70ca", + "tutorial_quiz_answer")), structure(list(id = "lnr_ans_1161587", 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", @@ -1099,7 +1285,7 @@ learnr:::question_prerendered_chunk(structure(list(type = "learnr_radio", label "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 = 1633355848.23941, options = list()), class = c("learnr_radio", + seed = 214373947.900174, options = list()), class = c("learnr_radio", "tutorial_question")), session = session) </script> @@ -1107,19 +1293,19 @@ learnr:::question_prerendered_chunk(structure(list(type = "learnr_radio", label <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_90b8a0a", + "character")), answers = list(structure(list(id = "lnr_ans_e0f3b5f", 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_d19421d", + "tutorial_quiz_answer")), structure(list(id = "lnr_ans_edcc894", option = "column$dataset", value = "column$dataset", label = structure("column$dataset", html = TRUE, class = c("html", "character")), correct = FALSE, message = NULL, type = "literal"), class = c("tutorial_question_answer", - "tutorial_quiz_answer")), structure(list(id = "lnr_ans_7ec7017", + "tutorial_quiz_answer")), structure(list(id = "lnr_ans_27145ea", option = "dataset%\\`column\\`", value = "dataset%\\`column\\`", label = structure("dataset%`column`", html = TRUE, class = c("html", "character")), correct = FALSE, message = NULL, type = "literal"), class = c("tutorial_question_answer", - "tutorial_quiz_answer")), structure(list(id = "lnr_ans_1b15dce", + "tutorial_quiz_answer")), structure(list(id = "lnr_ans_8066022", option = "dataset$\\`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", @@ -1131,7 +1317,7 @@ learnr:::question_prerendered_chunk(structure(list(type = "learnr_radio", label "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 = 26102984.9878449, options = list()), class = c("learnr_radio", + seed = 521059730.257363, options = list()), class = c("learnr_radio", "tutorial_question")), session = session) </script> @@ -1145,7 +1331,8 @@ output$`tutorial-exercise-mean-output` <- renderUI({ <script type="application/shiny-prerendered" data-context="server"> learnr:::store_exercise_cache(structure(list(label = "mean", global_setup = structure(c("library(learnr)", -"library(readxl)", "options(scipen = 10)", "gameData <- read_excel(\"bgg_dataset.xlsx\", sheet = \"Sheet\")", +"library(readxl)", "library(\"ggplot2\")", "options(scipen = 10)", +"gameData <- read_excel(\"bgg_dataset.xlsx\", sheet = \"Sheet\")", "knitr::opts_chunk$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"), @@ -1183,7 +1370,8 @@ output$`tutorial-exercise-median-output` <- renderUI({ <script type="application/shiny-prerendered" data-context="server"> learnr:::store_exercise_cache(structure(list(label = "median", global_setup = structure(c("library(learnr)", -"library(readxl)", "options(scipen = 10)", "gameData <- read_excel(\"bgg_dataset.xlsx\", sheet = \"Sheet\")", +"library(readxl)", "library(\"ggplot2\")", "options(scipen = 10)", +"gameData <- read_excel(\"bgg_dataset.xlsx\", sheet = \"Sheet\")", "knitr::opts_chunk$set(echo = FALSE)"), chunk_opts = list(label = "setup", include = FALSE)), setup = NULL, chunks = list(list(label = "median", code = "ptime <- gameData[[\"Play Time\"]]", opts = list( @@ -1223,7 +1411,8 @@ output$`tutorial-exercise-variance-output` <- renderUI({ <script type="application/shiny-prerendered" data-context="server"> learnr:::store_exercise_cache(structure(list(label = "variance", global_setup = structure(c("library(learnr)", -"library(readxl)", "options(scipen = 10)", "gameData <- read_excel(\"bgg_dataset.xlsx\", sheet = \"Sheet\")", +"library(readxl)", "library(\"ggplot2\")", "options(scipen = 10)", +"gameData <- read_excel(\"bgg_dataset.xlsx\", sheet = \"Sheet\")", "knitr::opts_chunk$set(echo = FALSE)"), chunk_opts = list(label = "setup", include = FALSE)), setup = NULL, chunks = list(list(label = "variance", code = "ptime <- gameData$\"Play Time\"", opts = list(label = "\"variance\"", @@ -1263,7 +1452,8 @@ output$`tutorial-exercise-standard-deviation-output` <- renderUI({ <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)", "options(scipen = 10)", "gameData <- read_excel(\"bgg_dataset.xlsx\", sheet = \"Sheet\")", +"library(readxl)", "library(\"ggplot2\")", "options(scipen = 10)", +"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\"", @@ -1303,7 +1493,8 @@ output$`tutorial-exercise-linear-regression-output` <- renderUI({ <script type="application/shiny-prerendered" data-context="server"> learnr:::store_exercise_cache(structure(list(label = "linear-regression", global_setup = structure(c("library(learnr)", -"library(readxl)", "options(scipen = 10)", "gameData <- read_excel(\"bgg_dataset.xlsx\", sheet = \"Sheet\")", +"library(readxl)", "library(\"ggplot2\")", "options(scipen = 10)", +"gameData <- read_excel(\"bgg_dataset.xlsx\", sheet = \"Sheet\")", "knitr::opts_chunk$set(echo = FALSE)"), chunk_opts = list(label = "setup", include = FALSE)), setup = NULL, chunks = list(list(label = "linear-regression", code = "raters <- gameData$\"Users Rated\"\nowned <- gameData$\"Owned Users\"", @@ -1343,7 +1534,8 @@ output$`tutorial-exercise-lm-plot-output` <- renderUI({ <script type="application/shiny-prerendered" data-context="server"> learnr:::store_exercise_cache(structure(list(label = "lm-plot", global_setup = structure(c("library(learnr)", -"library(readxl)", "options(scipen = 10)", "gameData <- read_excel(\"bgg_dataset.xlsx\", sheet = \"Sheet\")", +"library(readxl)", "library(\"ggplot2\")", "options(scipen = 10)", +"gameData <- read_excel(\"bgg_dataset.xlsx\", sheet = \"Sheet\")", "knitr::opts_chunk$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", @@ -1377,10 +1569,10 @@ learnr:::store_exercise_cache(structure(list(label = "lm-plot", global_setup = s <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_378b4dc", + "character")), answers = list(structure(list(id = "lnr_ans_8e12fab", 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_25d3c0d", + "tutorial_quiz_answer")), structure(list(id = "lnr_ans_942fbf5", option = "Falsch", value = "Falsch", label = structure("Falsch", 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", @@ -1391,7 +1583,7 @@ learnr:::question_prerendered_chunk(structure(list(type = "learnr_radio", label "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 = 51313380.4761053, options = list()), class = c("learnr_radio", + seed = 991454976.038318, options = list()), class = c("learnr_radio", "tutorial_question")), session = session) </script> @@ -1399,10 +1591,10 @@ learnr:::question_prerendered_chunk(structure(list(type = "learnr_radio", label <script type="application/shiny-prerendered" data-context="server"> learnr:::question_prerendered_chunk(structure(list(type = "learnr_radio", label = "hypothesis-quiz-2", question = structure("Spiele mit hoeherem Complexity Score haben hoehere Play Time.", html = TRUE, class = c("html", - "character")), answers = list(structure(list(id = "lnr_ans_8620b56", + "character")), answers = list(structure(list(id = "lnr_ans_a1be36f", 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_42abe8b", + "tutorial_quiz_answer")), structure(list(id = "lnr_ans_3f08a31", option = "Falsch", value = "Falsch", label = structure("Falsch", 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", @@ -1413,18 +1605,220 @@ learnr:::question_prerendered_chunk(structure(list(type = "learnr_radio", label "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, - seed = 2052683885.04414, options = list()), class = c("learnr_radio", + seed = 1482267074.30977, options = list()), class = c("learnr_radio", +"tutorial_question")), session = session) +</script> + +<script type="application/shiny-prerendered" data-context="server"> +`tutorial-exercise-plotExercise-result` <- learnr:::setup_exercise_handler(reactive(req(input$`tutorial-exercise-plotExercise-code-editor`)), session) +output$`tutorial-exercise-plotExercise-output` <- renderUI({ + `tutorial-exercise-plotExercise-result`() +}) +</script> + + +<script type="application/shiny-prerendered" data-context="server"> +learnr:::store_exercise_cache(structure(list(label = "plotExercise", global_setup = 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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 exercÃcio\",\"exercise_plural\":\"os exercÃcios\",\"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\":\"BaÅŸtan BaÅŸlamak\",\"startovertitle\":\"$t(button.startover)\",\"continue\":\"Devam et\",\"submitanswer\":\"Cevabı onayla\",\"submitanswertitle\":\"$t(button.submitanswer)\",\"previoustopic\":\"Önceki Konu\",\"nexttopic\":\"Sonraki Konu\",\"questionsubmit\":\"$t(button.submitanswer)\",\"questiontryagain\":\"Tekrar Deneyin\"},\"text\":{\"startover\":\"BaÅŸtan BaÅŸlamak\",\"areyousure\":\"BaÅŸtan baÅŸlamak istediÄŸinizden emin misiniz? (tüm egzersiz ilerlemesi kaybolacak)\",\"youmustcomplete\":\"Tamamlamalısın\",\"exercise\":\"egzersiz\",\"exercise_plural\":\"egzersizler\",\"inthissection\":\"devam etmeden önce bu bölümde\",\"code\":\"Kod\",\"enginecap\":\"$t(text.code) {{engine}}\",\"quiz\":\"Sınav\",\"oxfordcomma\":\"\"}}},\"emo\":{\"translation\":{\"button\":{\"runcode\":\"ðŸƒ\",\"runcodetitle\":\"$t(button.runcode) ({{kbd}})\",\"hint\":\"💡\",\"hint_plural\":\"$t(button.hint)\",\"hinttitle\":\"$t(button.hint)\",\"solution\":\"🎯\",\"solutiontitle\":\"$t(button.solution)\",\"copyclipboard\":\"📋\",\"startover\":\"â®\",\"startovertitle\":\"Start Over\",\"continue\":\"✅\",\"submitanswer\":\"🆗\",\"submitanswertitle\":\"Submit Answer\",\"previoustopic\":\"⬅\",\"nexttopic\":\"âž¡\",\"questionsubmit\":\"$t(button.submitanswer)\",\"questiontryagain\":\"ðŸ”\"},\"text\":{\"startover\":\"â®\",\"areyousure\":\"🤔\",\"youmustcomplete\":\"âš ï¸ ðŸ‘‰ 🧑â€ðŸ’»\",\"exercise\":\"\",\"exercise_plural\":\"\",\"inthissection\":\"\",\"code\":\"💻\",\"enginecap\":\"$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>"<\\/code>, <code>'<\\/code>, <code>(<\\/code> oder <code>{<\\/code> mit einem zugehörigen <code>"<\\/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\":\"ë‹¤ìŒ ížŒíŠ¸\",\"hintprev\":\"ì´ì „ 힌트\",\"solution\":\"솔루션\",\"solutiontitle\":\"$t(button.solution)\",\"copyclipboard\":\"í´ë¦½ë³´ë“œì— 복사\",\"startover\":\"재학습\",\"startovertitle\":\"$t(button.startover)\",\"continue\":\"ë‹¤ìŒ í•™ìŠµìœ¼ë¡œ\",\"submitanswer\":\"ì •ë‹µ ì œì¶œ\",\"submitanswertitle\":\"$t(button.submitanswer)\",\"previoustopic\":\"ì´ì „ í† í”½\",\"nexttopic\":\"ë‹¤ìŒ í† í”½\",\"questionsubmit\":\"$t(button.submitanswer)\",\"questiontryagain\":\"재시ë„\"},\"text\":{\"startover\":\"재학습\",\"areyousure\":\"다시 시작 í•˜ì‹œê² ìŠµë‹ˆê¹Œ? (ëª¨ë“ ì˜ˆì œì˜ ì§„í–‰ ì •ë³´ê°€ ìž¬ì„¤ì •ë©ë‹ˆë‹¤)\",\"youmustcomplete\":\"ë‹¹ì‹ ì€ ì™„ë£Œí•´ì•¼ 합니다\",\"exercise\":\"ì—°ìŠµë¬¸ì œ\",\"exercise_plural\":\"ì—°ìŠµë¬¸ì œë“¤\",\"inthissection\":\"ì´ ì„¹ì…˜ì„ ì‹¤í–‰í•˜ê¸° ì „ì—\",\"code\":\"코드\",\"enginecap\":\"$t(text.code) {{engine}}\",\"quiz\":\"퀴즈\",\"blank\":\"공백\",\"blank_plural\":\"공백들\",\"exercisecontainsblank\":\"ì´ ì—°ìŠµë¬¸ì œì—는 {{count}}ê°œì˜ $t(text.blank)ì´ í¬í•¨ë˜ì–´ 있습니다.\",\"pleasereplaceblank\":\"{{blank}}를 ìœ íš¨í•œ 코드로 바꾸ì‹ì‹œì˜¤.\",\"unparsable\":\"ì´ê²ƒì€ ìœ íš¨í•œ R 코드가 ì•„ë‹ ìˆ˜ 있습니다. Rì€ í…스트를 ì™„ì „í•œ ëª…ë ¹ìœ¼ë¡œ 변환하는 ë°©ë²•ì„ ê²°ì •í• ìˆ˜ 없습니다. ë‹¹ì‹ ì€ ê³µë°±ì´ë‚˜ ë°‘ì¤„ì„ ëŒ€ì²´í•˜ì—¬ 채우기, ì¸ìˆ˜ë¥¼ 컴마로 구분하기, ë˜ëŠ” <code>"<\\/code>, <code>'<\\/code>, <code>(<\\/code> , <code>{<\\/code>로 시작하는 êµ¬ë¬¸ì„ ë‹«ëŠ” <code>"<\\/code>, <code>'<\\/code>, <code>)<\\/code>, <code>}<\\/code>ì„ ìžŠì—ˆì„ ìˆ˜ë„ ìžˆìŠµë‹ˆë‹¤.\\n\",\"and\":\"ê·¸ë¦¬ê³ \",\"or\":\"혹ì€\",\"listcomma\":\", \",\"oxfordcomma\":\"\"}}},\"zh\":{\"translation\":{\"button\":{\"runcode\":\"è¿è¡Œä»£ç \",\"runcodetitle\":\"$t(button.runcode) ({{kbd}})\",\"hint\":\"æç¤º\",\"hint_plural\":\"æç¤º\",\"hinttitle\":\"$t(button.hint)\",\"hintnext\":\"下一个æç¤º\",\"hintprev\":\"上一个æç¤º\",\"solution\":\"ç”æ¡ˆ\",\"solutiontitle\":\"$t(button.solution)\",\"copyclipboard\":\"å¤åˆ¶åˆ°å‰ªåˆ‡æ¿\",\"startover\":\"釿–°å¼€å§‹\",\"startovertitle\":\"$t(button.startover)\",\"continue\":\"ç»§ç»\",\"submitanswer\":\"æäº¤ç”案\",\"submitanswertitle\":\"$t(button.submitanswer)\",\"previoustopic\":\"上一专题\",\"nexttopic\":\"下一专题\",\"questionsubmit\":\"$t(button.submitanswer)\",\"questiontryagain\":\"å†è¯•一次\"},\"text\":{\"startover\":\"é‡ç½®\",\"areyousure\":\"ä½ ç¡®å®šè¦é‡æ–°å¼€å§‹å—? (所有当å‰è¿›åº¦å°†è¢«é‡ç½®)\",\"youmustcomplete\":\"ä½ å¿…é¡»å®Œæˆ\",\"exercise\":\"ç»ƒä¹ \",\"exercise_plural\":\"ç»ƒä¹ \",\"inthissection\":\"在进行本节之å‰\",\"code\":\"代ç \",\"enginecap\":\"$t(text.code) {{engine}}\",\"quiz\":\"测试\",\"blank\":\"空\",\"blank_plural\":\"空\",\"exercisecontainsblank\":\"æœ¬ç»ƒä¹ åŒ…å«{{count}}个$t(text.blank)\",\"pleasereplaceblank\":\"请在{{blank}}内填写æ°å½“的代ç \",\"unparsable\":\"è¿™ä¼¼ä¹Žä¸æ˜¯æœ‰æ•ˆçš„R代ç 。 Rä¸çŸ¥é“如何将您的文本转æ¢ä¸ºå®Œæ•´çš„命令。 您是å¦å¿˜äº†å¡«ç©ºï¼Œå¿˜äº†åˆ é™¤ä¸‹åˆ’çº¿ï¼Œå¿˜äº†åœ¨å‚æ•°ä¹‹é—´åŒ…å«é€—å·ï¼Œæˆ–者是忘了用<code>"<\\/code>, <code>'<\\/code>, <code>)<\\/code>,<code>}<\\/code>æ¥å°é—<code>"<\\/code>, <code>'<\\/code>, <code>(<\\/code>。 or <code>{<\\/code>。\\n\",\"unparsablequotes\":\"<p>您的R代ç ä¸ä¼¼ä¹Žå«æœ‰ç‰¹æ®Šæ ¼å¼çš„引å·ï¼Œæˆ–者弯引å·(<code>{{character}}<\\/code>) 在å—符串å‰åŽï¼Œåœ¨Rä¸å—符串应该被直引å·(<code>"<\\/code> 或者 <code>'<\\/code>)包裹。<\\/p> {{code}} <p>别担心,该错误ç»å¸¸åœ¨å¤åˆ¶ç²˜è´´åŒ…嫿 ¼å¼çš„ä»£ç æ—¶é‡åˆ°ï¼Œ 您å¯ä»¥å°è¯•将该行ä¸çš„ä»£ç æ›¿æ¢ä¸ºä»¥ä¸‹ä»£ç ,也许还有其他地方需è¦ä¿®æ”¹ã€‚<\\/p> {{suggestion}}\\n\",\"unparsableunicode\":\"<p>您的代ç ä¸ä¼¼ä¹ŽåŒ…嫿œ‰å¼‚常å—符(<code>{{character}}<\\/code>),å¯¼è‡´ä»£ç æ— 效。<\\/p> {{code}} <p>æœ‰æ—¶å€™ä½ çš„ä»£ç å¯èƒ½å«æœ‰çœ‹ä¼¼æ£å¸¸å—符的特殊å—ç¬¦ï¼Œç‰¹åˆ«æ˜¯å½“ä½ å¤åˆ¶ç²˜è´´å…¶ä»–æ¥æºä»£ç 的时候。 请试ç€åˆ 除这些特殊å—符,釿–°è¾“å…¥<\\/p>\\n\",\"unparsableunicodesuggestion\":\"<p>您的代ç ä¸ä¼¼ä¹ŽåŒ…嫿œ‰å¼‚常å—符(<code>{{character}}<\\/code>),å¯¼è‡´ä»£ç æ— 效。<\\/p> {{code}} <p>æœ‰æ—¶å€™ä½ çš„ä»£ç å¯èƒ½å«æœ‰çœ‹ä¼¼æ£å¸¸å—符的特殊å—ç¬¦ï¼Œç‰¹åˆ«æ˜¯å½“ä½ å¤åˆ¶ç²˜è´´å…¶ä»–æ¥æºä»£ç 的时候。 请试ç€åˆ 除这些特殊å—符,釿–°è¾“å…¥<\\/p>\\n\",\"and\":\"且\",\"or\":\"或\",\"listcomma\":\",\",\"oxfordcomma\":\",\"}}},\"pl\":{\"translation\":{\"button\":{\"runcode\":\"Uruchom kod\",\"runcodetitle\":\"$t(button.runcode) ({{kbd}})\",\"hint\":\"Podpowiedź\",\"hint_plural\":\"Podpowiedzi\",\"hinttitle\":\"$t(button.hint)\",\"hintnext\":\"NastÄ™pna podpowiedź\",\"hintprev\":\"Poprzednia podpowiedź\",\"solution\":\"RozwiÄ…zanie\",\"solutiontitle\":\"$t(button.solution)\",\"copyclipboard\":\"Kopiuj do schowka\",\"startover\":\"Zacznij od poczÄ…tku\",\"startovertitle\":\"$t(button.startover)\",\"continue\":\"Kontynuuj\",\"submitanswer\":\"WyÅ›lij\",\"submitanswertitle\":\"$t(button.submitanswer)\",\"previoustopic\":\"Poprzednia sekcja\",\"nexttopic\":\"NastÄ™pna sekcja\",\"questionsubmit\":\"$t(button.submitanswer)\",\"questiontryagain\":\"Spróbuj ponownie\"},\"text\":{\"startover\":\"Zacznij od poczÄ…tku\",\"areyousure\":\"Czy na pewno chcesz zacząć od poczÄ…tku? (caÅ‚y postÄ™p w zadaniu zostanie utracony)\",\"youmustcomplete\":\"Musisz ukoÅ„czyć\",\"exercise\":\"ćwiczenie\",\"exercise_plural\":\"ćwiczenia\",\"inthissection\":\"w tej sekcji przed kontynuowaniem\",\"code\":\"Kod\",\"enginecap\":\"$t(text.code) {{engine}}\",\"quiz\":\"Quiz\",\"blank\":\"luka\",\"blank_plural\":\"luk(i)\",\"exercisecontainsblank\":\"To ćwiczenie zawiera {{count}} $t(text.blank).\",\"pleasereplaceblank\":\"ProszÄ™ uzupeÅ‚nić {{blank}} prawidÅ‚owym kodem.\",\"unparsable\":\"WyglÄ…da na to, że może to nie być prawidÅ‚owy kod R. R nie jest w stanie przetworzyć Twojego tekstu na polecenie. MogÅ‚eÅ›(-aÅ›) zapomnieć wypeÅ‚nić luki, usunąć podkreÅ›lnik, umieÅ›cić przecinka miÄ™dzy argumentami, lub zamknąć znak <code>"<\\/code>, <code>'<\\/code>, <code>(<\\/code> lub <code>{<\\/code> odpowiadajÄ…cym <code>"<\\/code>, <code>'<\\/code>, <code>)<\\/code> lub <code>}<\\/code>.\\n\",\"unparsablequotes\":\"<p>WyglÄ…da na to, że Twój kod zawiera szczególnie sformatowane cudzysÅ‚owy lub cudzysÅ‚owy typograficzne (<code>{{character}}<\\/code>) przy ciÄ…gach znaków, co sprawia, że kod jest niepoprawny. R wymaga cudzysÅ‚owów prostych (<code>"<\\/code> albo <code>'<\\/code>).<\\/p> {{code}} <p>Nie martw siÄ™, to powszechne źródÅ‚o błędów, gdy kopiuje się kod z innego programu, który sam formatuje teskt. Możesz spróbować zastÄ…pić swój kod nastÄ™pujÄ…cym kodem. 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