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<!DOCTYPE html>
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<title>Using RStudio / Importing data: Quiz & Exercises</title>
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<body>
<a class='sr-only sr-only-focusable visually-hidden-focusable' href='#learnr-tutorial-content'>Skip to Tutorial Content</a>
<div class="pageContent band">
<main class="bandContent page">
<article class="topics" id="learnr-tutorial-content">
<div id="section-quiz" class="section level2">
<h2>Quiz</h2>
<p><em>Question 1</em></p>
<div class="panel panel-default tutorial-question-container">
<div data-label="Q1" class="tutorial-question panel-body">
<div id="Q1-answer_container" class="shiny-html-output"></div>
<div id="Q1-message_container" class="shiny-html-output"></div>
<div id="Q1-action_button_container" class="shiny-html-output"></div>
<script>if (Tutorial.triggerMathJax) Tutorial.triggerMathJax()</script>
</div>
</div>
<p><img src="images/packageQuestion.jpg" width="100%" style="display: block; margin: auto auto auto 0;" /></p>
<p><em>Question 2</em></p>
<div class="panel panel-default tutorial-question-container">
<div data-label="Q2" class="tutorial-question panel-body">
<div id="Q2-answer_container" class="shiny-html-output"></div>
<div id="Q2-message_container" class="shiny-html-output"></div>
<div id="Q2-action_button_container" class="shiny-html-output"></div>
<script>if (Tutorial.triggerMathJax) Tutorial.triggerMathJax()</script>
</div>
</div>
<p><img src="images/Quiz1.PNG" width="100%" style="display: block; margin: auto auto auto 0;" /></p>
<p>*Question 3</p>
<div class="panel panel-default tutorial-question-container">
<div data-label="Q3" class="tutorial-question panel-body">
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<script>if (Tutorial.triggerMathJax) Tutorial.triggerMathJax()</script>
</div>
</div>
<p><em>Question 4</em></p>
<div class="panel panel-default tutorial-question-container">
<div data-label="Q4" class="tutorial-question panel-body">
<div id="Q4-answer_container" class="shiny-html-output"></div>
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<div id="Q4-action_button_container" class="shiny-html-output"></div>
<script>if (Tutorial.triggerMathJax) Tutorial.triggerMathJax()</script>
</div>
</div>
</div>
<div id="section-exercises" class="section level2">
<h2>Exercises</h2>
<p><strong>Exercise 1: Using the ‘happiness’ data set we used in the
workbook – let’s do a quick exercise to recap what we learnt in Modules
1-3, but writing out the code entirely in RStudio instead of
online.</strong></p>
<ol start="0" style="list-style-type: decimal">
<li><p>Start a new project file, and a new RMD script file and write the
initial set up code to import the happiness dataset and load the
<code>dplyr</code> and <code>ggplot2</code> libraries. Remember to save
the Excel file in CSV format before importing the data. (If you were
following along to here directly from the workbook you may have already
done this; so you can skip this step!). You can find the Excel file
here: <a
href="https://github.com/stats4sd/RCourse_2023_download_files/raw/dev/Happiness.xlsx">Happiness.xlsx</a></p></li>
<li><p>Find the 5 countries with the lowest ‘generosity scores’</p></li>
<li><p>Produce a subset of countries which have below average scores for
both GDP and generosity.</p></li>
<li><p>Make a plot showing the relationship between generosity and GDP
per capita</p></li>
</ol>
<p><strong>Exercise 2: Download the file below that contains the imdb
dataset and the Module 3 exercises in RMD format.</strong></p>
<p><a
href="https://github.com/stats4sd/r2020_04Quiz/raw/refs/heads/main/Module%203%20Exercises.zip">Module-3-Exercises.zip</a></p>
<p>Create a new project in RStudio and unzip the files into your new
project folder.</p>
<p>Then open the workbook, and load in the libraries and the dataset.
The code for these steps are written for you.</p>
<p>Then you can copy across your answers from Module 3 (which should
still be saved on the online version if you have completed Module 3)
into this new workbook.</p>
<p>And, if you did finish the Module 3 exercises, now is the time to do
so! Only now you are using your own version RStudio rather than using
the version of R on the server.</p>
</div>
<div id="section-appendix-happiness-dataset" class="section level2">
<h2>Appendix: ‘Happiness’ dataset</h2>
<p>The data used for the questions in this workbook comes from the World
Happiness Report 2019. The World Happiness Report is an annual
publication of the United Nations Sustainable Development Solutions
Network. It aims at ranking 156 countries by level of global happiness
of their population, by doing an annual survey on their citizens.</p>
<p>In this dataset, the variables ‘GDP per capita’,‘Social
support’,‘Healthy life expectancy’,‘Freedom to make life
choices’,‘Generosity’ and ‘Perceptions of corruption’ are factors used
to compute the Happiness Score (‘Score’).</p>
<p>The methodology, as well as more information about this publication,
can be found
<a href="https://worldhappiness.report/ed/2019/" target="_blank">here
</a>.</p>
</div>
<div id="section-appendix-imdb-dataset" class="section level2">
<h2>Appendix: ‘imdb’ dataset</h2>
<p>For one exercise of this module, we are using a dataset called
“imdb”, which we constructed from the subsets of the Internet Movie
Database made available for non-commercial purposes by the IMDb team:
<a href="https://www.imdb.com/interfaces/" target="_blank">https://www.imdb.com/interfaces/</a></p>
<p>It contains the following information for all the entries having more
than 500 votes, that are not of type “tvEpisodes” and for which
information about year of release, running time and director(s) was
available at the time of extraction (02/10/2024):</p>
<table>
<colgroup>
<col width="12%" />
<col width="87%" />
</colgroup>
<thead>
<tr class="header">
<th align="left">Column</th>
<th align="left">Description</th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td align="left">title</td>
<td align="left">popular title of the entry</td>
</tr>
<tr class="even">
<td align="left">type</td>
<td align="left">type of entry: movie, short, tvMiniSeries, tvMovie,
tvSeries, tvShort, tvSpecial, video or videoGame</td>
</tr>
<tr class="odd">
<td align="left">year</td>
<td align="left">year of release (for series, year of release of the
first episode)</td>
</tr>
<tr class="even">
<td align="left">length</td>
<td align="left">duration in minutes</td>
</tr>
<tr class="odd">
<td align="left">numVotes</td>
<td align="left">number of votes for the entry</td>
</tr>
<tr class="even">
<td align="left">averageRating</td>
<td align="left">IMDb’s weighted average rating for the entry</td>
</tr>
<tr class="odd">
<td align="left">director</td>
<td align="left">director of the entry (if multiple directors, the first
one was picked)</td>
</tr>
<tr class="even">
<td align="left">birthYear</td>
<td align="left">year of birth of the director</td>
</tr>
<tr class="odd">
<td align="left">animation</td>
<td align="left">the entry is of genre animation (TRUE/FALSE)</td>
</tr>
<tr class="even">
<td align="left">action</td>
<td align="left">the entry is of genre action (TRUE/FALSE)</td>
</tr>
<tr class="odd">
<td align="left">adventure</td>
<td align="left">the entry is of genre adventure (TRUE/FALSE)</td>
</tr>
<tr class="even">
<td align="left">comedy</td>
<td align="left">the entry is of genre comedy (TRUE/FALSE)</td>
</tr>
<tr class="odd">
<td align="left">documentary</td>
<td align="left">the entry is of genre documentary (TRUE/FALSE)</td>
</tr>
<tr class="even">
<td align="left">fantasy</td>
<td align="left">the entry is of genre fantasy (TRUE/FALSE)</td>
</tr>
<tr class="odd">
<td align="left">romance</td>
<td align="left">the entry is of genre romance (TRUE/FALSE)</td>
</tr>
<tr class="even">
<td align="left">sci_fi</td>
<td align="left">the entry is of genre science fiction (TRUE/FALSE)</td>
</tr>
<tr class="odd">
<td align="left">thriller</td>
<td align="left">the entry is of genre thriller (TRUE/FALSE)</td>
</tr>
</tbody>
</table>
</div>
<div id="section-appendix-useful-reference-links"
class="section level2">
<h2>Appendix: Useful reference links</h2>
<p>RStudio
website:<a href="https://rstudio.com/" target="_blank">https://rstudio.com/
</a></p>
<p>R-project
website:<a href="https://www.r-project.org/" target="_blank">https://www.r-project.org/
</a></p>
<p>Andy Field’s Getting started in R and
RStudio:<a href="http://milton-the-cat.rocks/learnr/r/r_getting_started" target="_blank">http://milton-the-cat.rocks/learnr/r/r_getting_started
</a></p>
<p>R Markdown
documentation:<a href="https://rmarkdown.rstudio.com/lesson-1.html" target="_blank">https://rmarkdown.rstudio.com/lesson-1.html
</a></p>
<p>RStudio
CheatSheet:<a href="https://ucdavis-bioinformatics-training.github.io/Oct2017-ILRI-Workshop/Cheat_Sheets/rstudio-IDE-cheatsheet.pdf" target="_blank">https://ucdavis-bioinformatics-training.github.io/Oct2017-ILRI-Workshop/Cheat_Sheets/rstudio-IDE-cheatsheet.pdf
</a></p>
<p>R Markdown
CheatSheet:<a href="https://rstudio.com/wp-content/uploads/2015/02/rmarkdown-cheatsheet.pdf" target="_blank">https://rstudio.com/wp-content/uploads/2015/02/rmarkdown-cheatsheet.pdf
</a></p>
<p>Data importing cheat sheet
<a href="https://evoldyn.gitlab.io/evomics-2018/ref-sheets/R_data-import.pdf" target="_blank">https://evoldyn.gitlab.io/evomics-2018/ref-sheets/R_data-import.pdf
</a></p>
<p>Illustrated presentation of ‘tidy data’:
<a href="https://docs.google.com/presentation/d/1N7hKepabvl9OrHjvGJWPjUsfzVdB5xzV5AsFndgSwms/edit?usp=sharing" target="_blank">Make
friends with tidy data </a></p>
<p>Video explaining the command to import text files into R -
DataCamp:<a href="https://www.youtube.com/watch?v=Yy-ismDUkkQ" target="_blank">https://www.youtube.com/watch?v=Yy-ismDUkkQ
</a></p>
<p>Article on the RStudio support site showing how to import data from
different files via the RStudio import
menu:<a href="https://support.rstudio.com/hc/en-us/articles/218611977-Importing-Data-with-RStudio" target="_blank">Importing
Data with RStudio</a></p>
<p>RStudio documentation on connecting to databases using R
<a href="https://db.rstudio.com" target="_blank">https://db.rstudio.com
</a></p>
<p>
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<h1 class="title toc-ignore" style="display:none;">Using RStudio /
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