Book Image

R Data Visualization Cookbook

Book Image

R Data Visualization Cookbook

Overview of this book

If you are a data journalist, academician, student or freelance designer who wants to learn about data visualization, this book is for you. Basic knowledge of R programming is expected.
Table of Contents (17 chapters)
R Data Visualization Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
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",...