Revise ch19

DS-100 · May 29, 2023 · 3c2ea6e · 3c2ea6e
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diff --git a/content/ch/11/viz_comparisons.ipynb b/content/ch/11/viz_comparisons.ipynb
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     "The same data can be visualized many different ways, and deciding which plot to make can be daunting. Generally speaking, our plot should help a reader make meaningful comparisons. In this section, we go over several useful principles that can improve the clarity of our plots."
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     "We prefer the plot on the right since it has boxes ordered according to the median price for each city. Again, this ordering makes it easier to compare distributions across groups, in this case cities. We see that the lower quartile and median price in Albany and Walnut Creek are roughly the same but the prices in Walnut Creek have greater right skew."
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     "When possible, ordering bars in a bar plot by height and boxes in a box plot by median makes it easier for us to make comparisons across groups. Another technique used for presenting grouped data is stacking. We describe stacking in the next section and provide examples that are meant to convince you to stear away from this sort of plot. "
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     "It's easy to compare the proportion of one bedroom houses in each of the cities by simply scanning across the top of the first segment in each column. But, the comparison of four bedroom houses is more difficult. The bottom of the segments are not aligned horizontally so our eyes must judge the lengths of segments that move up and down across the plot. This up and down movement is called *jiggling the baseline*. "
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@@ -103365,12 +103381,13 @@
     "styles = cycle([None, 'dashdot', 'dash', 'dot'])\n",
     "for i in range(10):\n",
     "    fig.update_traces(selector=i, \n",
-    "                      line = dict(dash=next(styles)))\n",
+    "                      line=dict(dash=next(styles)))\n",
     "fig.update_yaxes(title_text='CO2 Emissions (million tons)')\n",
     "fig"
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    "source": [
     "## Guidelines for Comparisons in Plots"
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    "name": "python",
    "nbconvert_exporter": "python",
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