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Fix figure manipulation

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Hadley Wickham
2022-11-18 10:42:43 -06:00
parent 78a1c12fe7
commit 89a854b7d0
15 changed files with 114 additions and 115 deletions
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oreilly/data-visualize.html
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@@ -177,8 +177,8 @@ ggplot(data = mpg) +
</ul><div class="cell" data-layout-align="center">
<div class="cell-output-display">
<figure id="fig-vis-stat-bar"><p><img src="data-visualize_files/figure-html/fig-shapes-1.png" alt="Mapping between shapes and the numbers that represent them: 0 - square, 1 - circle, 2 - triangle point up, 3 - plus, 4 - cross, 5 - diamond, 6 - triangle point down, 7 - square cross, 8 - star, 9 - diamond plus, 10 - circle plus, 11 - triangles up and down, 12 - square plus, 13 - circle cross, 14 - square and triangle down, 15 - filled square, 16 - filled circle, 17 - filled triangle point-up, 18 - filled diamond, 19 - solid circle, 20 - bullet (smaller circle), 21 - filled circle blue, 22 - filled square blue, 23 - filled diamond blue, 24 - filled triangle point-up blue, 25 - filled triangle point down blue." width="576"/></p>
<figcaption>Figure 2.1: R has 25 built in shapes that are identified by numbers. There are some seeming duplicates: for example, 0, 15, and 22 are all squares. The difference comes from the interaction of the color and fill aesthetics. The hollow shapes (0–14) have a border determined by color; the solid shapes (15–20) are filled with color; the filled shapes (21–24) have a border of color and are filled with fill.<code>color</code> and <code>fill</code> aesthetics. The hollow shapes (0–14) have a border determined by <code>color</code>; the solid shapes (15–20) are filled with <code>color</code>; the filled shapes (21–24) have a border of <code>color</code> and are filled with <code>fill</code>.</figcaption>
<figure id="fig-shapes"><p><img src="data-visualize_files/figure-html/fig-shapes-1.png" alt="Mapping between shapes and the numbers that represent them: 0 - square, 1 - circle, 2 - triangle point up, 3 - plus, 4 - cross, 5 - diamond, 6 - triangle point down, 7 - square cross, 8 - star, 9 - diamond plus, 10 - circle plus, 11 - triangles up and down, 12 - square plus, 13 - circle cross, 14 - square and triangle down, 15 - filled square, 16 - filled circle, 17 - filled triangle point-up, 18 - filled diamond, 19 - solid circle, 20 - bullet (smaller circle), 21 - filled circle blue, 22 - filled square blue, 23 - filled diamond blue, 24 - filled triangle point-up blue, 25 - filled triangle point down blue." width="576"/></p>
<figcaption>R has 25 built in shapes that are identified by numbers. There are some seeming duplicates: for example, 0, 15, and 22 are all squares. The difference comes from the interaction of the color and fill aesthetics. The hollow shapes (0–14) have a border determined by color; the solid shapes (15–20) are filled with color; the filled shapes (21–24) have a border of color and are filled with fill.<code>color</code> and <code>fill</code> aesthetics. The hollow shapes (0–14) have a border determined by <code>color</code>; the solid shapes (15–20) are filled with <code>color</code>; the filled shapes (21–24) have a border of <code>color</code> and are filled with <code>fill</code>.</figcaption>
</figure>
</div>
</div>
@@ -499,8 +499,8 @@ Statistical transformations</h1>
<div class="cell">
<div class="cell-output-display">
<figure class="figure"><p><img src="images/visualization-stat-bar.png" style="width:100.0%" alt="A figure demonstrating three steps of creating a bar chart. Step 1. geom_bar() begins with the diamonds data set. Step 2. geom_bar() transforms the data with the count stat, which returns a data set of cut values and counts. Step 3. geom_bar() uses the transformed data to build the plot. cut is mapped to the x-axis, count is mapped to the y-axis."/></p>
<figcaption class="figure-caption">Figure 2.2: When create a bar chart we first start with the raw data, then aggregate it to count the number of observations in each bar, and finally map those computed variables to plot aesthetics.</figcaption>
<figure id="fig-vis-stat-bar"><p><img src="images/visualization-stat-bar.png" style="width:100.0%" alt="A figure demonstrating three steps of creating a bar chart. Step 1. geom_bar() begins with the diamonds data set. Step 2. geom_bar() transforms the data with the count stat, which returns a data set of cut values and counts. Step 3. geom_bar() uses the transformed data to build the plot. cut is mapped to the x-axis, count is mapped to the y-axis."/></p>
<figcaption>When create a bar chart we first start with the raw data, then aggregate it to count the number of observations in each bar, and finally map those computed variables to plot aesthetics.</figcaption>
</figure>
</div>
</div>