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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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@@ -315,8 +315,8 @@ Modular arithmetic</h2>
geom_point(aes(size = n))</pre>
<div class="cell-output-display">
<figure id="fig-flights-dist-daily"><p><img src="numbers_files/figure-html/fig-prop-cancelled-1.png" alt="A line plot showing how proportion of cancelled flights changes over the course of the day. The proportion starts low at around 0.5% at 6am, then steadily increases over the course of the day until peaking at 4% at 7pm. The proportion of cancelled flights then drops rapidly getting down to around 1% by midnight." width="576"/></p>
<figcaption>Figure 13.1: A line plot with scheduled departure hour on the x-axis, and proportion of cancelled flights on the y-axis. Cancellations seem to accumulate over the course of the day until 8pm, very late flights are much less likely to be cancelled.</figcaption>
<figure id="fig-prop-cancelled"><p><img src="numbers_files/figure-html/fig-prop-cancelled-1.png" alt="A line plot showing how proportion of cancelled flights changes over the course of the day. The proportion starts low at around 0.5% at 6am, then steadily increases over the course of the day until peaking at 4% at 7pm. The proportion of cancelled flights then drops rapidly getting down to around 1% by midnight." width="576"/></p>
<figcaption>A line plot with scheduled departure hour on the x-axis, and proportion of cancelled flights on the y-axis. Cancellations seem to accumulate over the course of the day until 8pm, very late flights are much less likely to be cancelled.</figcaption>
</figure>
</div>
</div>
@@ -641,8 +641,8 @@ Center</h2>
#&gt; ℹ Please use `linewidth` instead.</pre>
<div class="cell-output-display">
<figure class="figure"><p><img src="numbers_files/figure-html/fig-mean-vs-median-1.png" alt="All points fall below a 45° line, meaning that the median delay is always less than the mean delay. Most points are clustered in a dense region of mean [0, 20] and median [0, 5]. As the mean delay increases, the spread of the median also increases. There are two outlying points with mean ~60, median ~50, and mean ~85, median ~55." width="576"/></p>
<figcaption class="figure-caption">Figure 13.2: A scatterplot showing the differences of summarising hourly depature delay with median instead of mean.</figcaption>
<figure id="fig-mean-vs-median"><p><img src="numbers_files/figure-html/fig-mean-vs-median-1.png" alt="All points fall below a 45° line, meaning that the median delay is always less than the mean delay. Most points are clustered in a dense region of mean [0, 20] and median [0, 5]. As the mean delay increases, the spread of the median also increases. There are two outlying points with mean ~60, median ~50, and mean ~85, median ~55." width="576"/></p>
<figcaption>A scatterplot showing the differences of summarising hourly depature delay with median instead of mean.</figcaption>
</figure>
</div>
</div>
@@ -716,18 +716,18 @@ flights |&gt;
<figure class="figure"><div class="quarto-layout-row quarto-layout-valign-top">
<div class="cell-output-display quarto-layout-cell quarto-layout-cell-subref" style="flex-basis: 50.0%;justify-content: center;">
<figure class="figure"><p><img src="numbers_files/figure-html/fig-flights-dist-1.png" alt="Two histograms of `dep_delay`. On the left, it's very hard to see any pattern except that there's a very large spike around zero, the bars rapidly decay in height, and for most of the plot, you can't see any bars because they are too short to see. On the right, where we've discarded delays of greater than two hours, we can see that the spike occurs slightly below zero (i.e. most flights leave a couple of minutes early), but there's still a very steep decay after that. " data-ref-parent="fig-flights-dist" width="384"/></p>
<figcaption class="figure-caption">(a) Histogram shows the full range of delays.</figcaption>
<figure id="fig-flights-dist-1"><p><img src="numbers_files/figure-html/fig-flights-dist-1.png" alt="Two histograms of `dep_delay`. On the left, it's very hard to see any pattern except that there's a very large spike around zero, the bars rapidly decay in height, and for most of the plot, you can't see any bars because they are too short to see. On the right, where we've discarded delays of greater than two hours, we can see that the spike occurs slightly below zero (i.e. most flights leave a couple of minutes early), but there's still a very steep decay after that. " data-ref-parent="fig-flights-dist" width="384"/></p>
<figcaption>(a) Histogram shows the full range of delays.</figcaption>
</figure>
</div>
<div class="cell-output-display quarto-layout-cell quarto-layout-cell-subref" style="flex-basis: 50.0%;justify-content: center;">
<figure class="figure"><p><img src="numbers_files/figure-html/fig-flights-dist-2.png" alt="Two histograms of `dep_delay`. On the left, it's very hard to see any pattern except that there's a very large spike around zero, the bars rapidly decay in height, and for most of the plot, you can't see any bars because they are too short to see. On the right, where we've discarded delays of greater than two hours, we can see that the spike occurs slightly below zero (i.e. most flights leave a couple of minutes early), but there's still a very steep decay after that. " data-ref-parent="fig-flights-dist" width="384"/></p>
<figcaption class="figure-caption">(b) Histogram is zoomed in to show delays less than 2 hours.</figcaption>
<figure id="fig-flights-dist-2"><p><img src="numbers_files/figure-html/fig-flights-dist-2.png" alt="Two histograms of `dep_delay`. On the left, it's very hard to see any pattern except that there's a very large spike around zero, the bars rapidly decay in height, and for most of the plot, you can't see any bars because they are too short to see. On the right, where we've discarded delays of greater than two hours, we can see that the spike occurs slightly below zero (i.e. most flights leave a couple of minutes early), but there's still a very steep decay after that. " data-ref-parent="fig-flights-dist" width="384"/></p>
<figcaption>(b) Histogram is zoomed in to show delays less than 2 hours.</figcaption>
</figure>
</div>
</div>
<figcaption class="figure-caption">Figure 13.3: The distribution of <code>dep_delay</code> appears highly skewed to the right in both histograms.</figcaption>
<p/><figcaption class="figure-caption">Figure 13.3: The distribution of <code>dep_delay</code> appears highly skewed to the right in both histograms.</figcaption><p/>
</figure></div>
</div>
<p>It’s also a good idea to check that distributions for subgroups resemble the whole. <a href="#fig-flights-dist-daily" data-type="xref">#fig-flights-dist-daily</a> overlays a frequency polygon for each day. The distributions seem to follow a common pattern, suggesting it’s fine to use the same summary for each day.</p>
@@ -738,8 +738,8 @@ flights |&gt;
geom_freqpoly(binwidth = 5, alpha = 1/5)</pre>
<div class="cell-output-display">
<figure class="figure"><p><img src="numbers_files/figure-html/fig-flights-dist-daily-1.png" alt="The distribution of `dep_delay` is highly right skewed with a strong peak slightly less than 0. The 365 frequency polygons are mostly overlapping forming a thick black bland." width="576"/></p>
<figcaption class="figure-caption">Figure 13.4: 365 frequency polygons of <code>dep_delay</code>, one for each day. The frequency polygons appear to have the same shape, suggesting that it’s reasonable to compare days by looking at just a few summary statistics.</figcaption>
<figure id="fig-flights-dist-daily"><p><img src="numbers_files/figure-html/fig-flights-dist-daily-1.png" alt="The distribution of `dep_delay` is highly right skewed with a strong peak slightly less than 0. The 365 frequency polygons are mostly overlapping forming a thick black bland." width="576"/></p>
<figcaption>365 frequency polygons of dep_delay, one for each day. The frequency polygons appear to have the same shape, suggesting that it’s reasonable to compare days by looking at just a few summary statistics.<code>dep_delay</code>, one for each day. The frequency polygons appear to have the same shape, suggesting that it’s reasonable to compare days by looking at just a few summary statistics.</figcaption>
</figure>
</div>
</div>