rebuild

Author: trevorcampbell

docs/404.html

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 <meta name="author" content="Melissa Lee" />
 
 
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docs/Getting-started-with-version-control.html

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 <meta name="author" content="Melissa Lee" />
 
 
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docs/about-the-authors.html

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 <meta name="author" content="Melissa Lee" />
 
 
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docs/acknowledgments.html

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 <meta name="author" content="Melissa Lee" />
 
 
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docs/appendixA.html

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 <meta name="author" content="Melissa Lee" />
 
 
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docs/classification.html

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 <meta name="author" content="Melissa Lee" />
 
 
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docs/classification2.html

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 <meta name="author" content="Melissa Lee" />
 
 
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@@ -641,8 +641,8 @@ <h2><span class="header-section-number">9.3</span> Clustering</h2>
 </p>
 <p>Before we get started, we will load the <code>tidyverse</code> metapackage
 as well as set a random seed.
-This will ensure we have access to the functions we need,
-and help make our analysis will be reproducible.
+This will ensure we have access to the functions we need
+and that our analysis will be reproducible.
 As we will learn in more detail later in the chapter,
 setting the seed here is important
 because the K-means clustering algorithm uses random numbers.</p>

docs/clustering.html

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 <meta name="author" content="Melissa Lee" />
 
 
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docs/getting-started-with-jupyter.html

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@@ -535,7 +535,7 @@ <h1 class="title">Data Science: A First Introduction</h1>
 <p class="author"><em>Tiffany-Anne Timbers</em></p>
 <p class="author"><em>Trevor Campbell</em></p>
 <p class="author"><em>Melissa Lee</em></p>
-<p class="date"><em>2021-11-13</em></p>
+<p class="date"><em>2021-11-18</em></p>
 </div>
 <div id="preface" class="section level1 unnumbered">
 <h1>Preface</h1>