prepping for first day

Author: dzchilds

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 <meta name="author" content="Dylan Z. Childs">
 
 
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 <meta name="author" content="Dylan Z. Childs">
 
 
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@@ -412,12 +413,12 @@ <h2><span class="header-section-number">23.2</span> Comparing descriptive statis
 <span class="st">  </span><span class="kw">summarise</span>(<span class="dt">mean_wind =</span> <span class="kw">mean</span>(wind))
 storms_sum</code></pre></div>
 <pre><code>## # A tibble: 4 x 2
-##                  type mean_wind
-##                &lt;fctr&gt;     &lt;dbl&gt;
-## 1 Tropical Depression  27.35867
-## 2       Extratropical  40.06068
-## 3      Tropical Storm  47.32181
-## 4           Hurricane  84.65960</code></pre>
+##   type                mean_wind
+##   &lt;fct&gt;                   &lt;dbl&gt;
+## 1 Tropical Depression      27.4
+## 2 Extratropical            40.1
+## 3 Tropical Storm           47.3
+## 4 Hurricane                84.7</code></pre>
 <p>We used <code>group_by</code> and <code>summarise</code> to calculate the set of means, which we called <code>mean_wind</code>. The second step uses the new data frame (called <code>storms_sum</code>) as the default data in a new graphical object, sets x and y aesthetic mappings from <code>type</code> and <code>mean_wind</code>, and adds a layer with <code>geom_col</code>:</p>
 <div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">mean.plt &lt;-
 <span class="st">  </span><span class="kw">ggplot</span>(storms_sum, <span class="kw">aes</span>(<span class="dt">x =</span> type, <span class="dt">y =</span> mean_wind)) <span class="op">+</span>
@@ -465,10 +466,11 @@ <h2><span class="header-section-number">23.2</span> Comparing descriptive statis
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