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@@ -643,8 +643,8 @@ <h3><span class="header-section-number">3.3.2</span> What is a vector?<a href="w
 You can create vectors in R using the <code>c</code> function (<code>c</code> stands for “concatenate”). For
 example, to create the vector <code>region</code> as shown in Figure
 <a href="wrangling.html#fig:02-vector">3.3</a>, you would write:</p>
-<div class="sourceCode" id="cb109"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb109-1"><a href="wrangling.html#cb109-1" tabindex="-1"></a>year <span class="ot">&lt;-</span> <span class="fu">c</span>(<span class="st">&quot;Toronto&quot;</span>, <span class="st">&quot;Montreal&quot;</span>, <span class="st">&quot;Vancouver&quot;</span>, <span class="st">&quot;Calgary&quot;</span>, <span class="st">&quot;Ottawa&quot;</span>)</span>
-<span id="cb109-2"><a href="wrangling.html#cb109-2" tabindex="-1"></a>year</span></code></pre></div>
+<div class="sourceCode" id="cb109"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb109-1"><a href="wrangling.html#cb109-1" tabindex="-1"></a>region <span class="ot">&lt;-</span> <span class="fu">c</span>(<span class="st">&quot;Toronto&quot;</span>, <span class="st">&quot;Montreal&quot;</span>, <span class="st">&quot;Vancouver&quot;</span>, <span class="st">&quot;Calgary&quot;</span>, <span class="st">&quot;Ottawa&quot;</span>)</span>
+<span id="cb109-2"><a href="wrangling.html#cb109-2" tabindex="-1"></a>region</span></code></pre></div>
 <pre><code>## [1] &quot;Toronto&quot;   &quot;Montreal&quot;  &quot;Vancouver&quot; &quot;Calgary&quot;   &quot;Ottawa&quot;</code></pre>
 <blockquote>
 <p><strong>Note:</strong> Technically, these objects are called “atomic vectors.” In this book
@@ -778,7 +778,7 @@ <h3><span class="header-section-number">3.3.4</span> What does this have to do w
 <p><strong>Note:</strong> You can use the function <code>class</code> on a data object to assess whether a data
 frame is a built-in R data frame or a tibble. If the data object is a data
 frame, <code>class</code> will return <code>"data.frame"</code>. If the data object is a
-tibble it will return <code>"tbl_df" "tbl" "data.frame"</code>. You can easily convert
+tibble it will return <code>"tbl_df"  "tbl"  "data.frame"</code>. You can easily convert
 built-in R data frames to tibbles using the <code>tidyverse</code> <code>as_tibble</code> function.
 For example we can check the class of the Canadian languages data set,
 <code>can_lang</code>, we worked with in the previous chapters and we see it is a tibble.</p>
@@ -2078,9 +2078,9 @@ <h3><span class="header-section-number">3.9.3</span> Calculating summary statist
 for each of the regions in the data set.</p>
 
 <div class="figure" style="text-align: center"><span style="display:block;" id="fig:summarize-groupby"></span>
-<img src="_main_files/figure-html/summarize-groupby-1.png" alt="summarize and group_by is useful for calculating summary statistics on one or more column(s) for each group. It creates a new data frame—with one row for each group—containing the summary statistic(s) for each column being summarized. It also creates a column listing the value of the grouping variable. The darker, top row of each table represents the column headers. The gray, blue, and green colored rows correspond to the rows that belong to each of the three groups being represented in this cartoon example." width="85%" />
+<img src="_main_files/figure-html/summarize-groupby-1.png" alt="summarize and group_by is useful for calculating summary statistics on one or more column(s) for each group. It creates a new data frame—with one row for each group—containing the summary statistic(s) for each column being summarized. It also creates a column listing the value of the grouping variable. The darker, top row of each table represents the column headers. The orange, blue, and green colored rows correspond to the rows that belong to each of the three groups being represented in this cartoon example." width="85%" />
 <p class="caption">
-Figure 3.16: <code>summarize</code> and <code>group_by</code> is useful for calculating summary statistics on one or more column(s) for each group. It creates a new data frame—with one row for each group—containing the summary statistic(s) for each column being summarized. It also creates a column listing the value of the grouping variable. The darker, top row of each table represents the column headers. The gray, blue, and green colored rows correspond to the rows that belong to each of the three groups being represented in this cartoon example.
+Figure 3.16: <code>summarize</code> and <code>group_by</code> is useful for calculating summary statistics on one or more column(s) for each group. It creates a new data frame—with one row for each group—containing the summary statistic(s) for each column being summarized. It also creates a column listing the value of the grouping variable. The darker, top row of each table represents the column headers. The orange, blue, and green colored rows correspond to the rows that belong to each of the three groups being represented in this cartoon example.
 </p>
 </div>
 <p>The <code>group_by</code> function takes at least two arguments. The first is the data