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Applied Data Visualization with R and ggplot2

You're reading from   Applied Data Visualization with R and ggplot2 Create useful, elaborate, and visually appealing plots

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Product type Paperback
Published in Sep 2018
Publisher
ISBN-13 9781789612158
Length 140 pages
Edition 1st Edition
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Dr. Tania Moulik Dr. Tania Moulik
Author Profile Icon Dr. Tania Moulik
Dr. Tania Moulik
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Geoms and Statistical Summaries

Sometimes, you will need to calculate statistical summaries, such as the mean, median, or a quartile of a variable, and view changes with respect to another variable. This can be done by using grouping commands.

Let's plot Genre versus AudienceScore for the HollywoodMovies dataset. Change the angle of the axis labeling text, in order to make it less cluttered, using the following command:

ggplot(HollywoodMovies,aes(Genre,AudienceScore))+geom_point()+theme(axis.text.x=element_text(angle=40))

You'll get the following output:

Using Grouping to Create a Summarized Plot

In this section, we'll use grouping to summarize multiple y values for a given x value. Let...

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