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R Data Visualization Cookbook

You're reading from  R Data Visualization Cookbook

Product type Book
Published in Jan 2015
Publisher
ISBN-13 9781783989508
Pages 236 pages
Edition 1st Edition
Languages
Toc

Table of Contents (17) Chapters close

R Data Visualization Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. A Simple Guide to R 2. Basic and Interactive Plots 3. Heat Maps and Dendrograms 4. Maps 5. The Pie Chart and Its Alternatives 6. Adding the Third Dimension 7. Data in Higher Dimensions 8. Visualizing Continuous Data 9. Visualizing Text and XKCD-style Plots 10. Creating Applications in R Index

Constructing a fan plot


Fan plots are very similar to pie charts; the different sectors/slices in a fan plot overlap. The slice with the highest value is placed at the back and subsequent slices are plotted on top of it. In our example, Army has the highest percentage, followed by Marines, Air Force, and Navy. Note that Air Force and Navy overlap each other as the values are very close.

Getting ready

To construct a fan plot, we use the following two packages:

  • plotrix

  • RColorBrewer

How to do it…

The fan plot is implemented using the plotrix package; hence we need to install and load this in our R session. We have used the colors from RColorBrewer and hence we also need to load it in R.

The data and labels vectors, as well as the paste() function, are discussed in detail under the recipe Generating a simple pie chart in this chapter. We use the fan.plot() function to construct the fan plot in R.

data = c(179718,41370,41914,44280)
pct = (data/sum(data))*100
pct = round(pct,2)
labels = c("Army",...
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