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R Data Visualization Cookbook

You're reading from   R Data Visualization Cookbook Over 80 recipes to analyze data and create stunning visualizations with R

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Product type Paperback
Published in Jan 2015
Publisher
ISBN-13 9781783989508
Length 236 pages
Edition 1st Edition
Languages
Tools
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Toc

Table of Contents (12) Chapters Close

Preface 1. A Simple Guide to R FREE CHAPTER 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

Creating dendrograms with colors and labels


The dendrogram plot in the previous example was all black and white. While making a good presentation, we would like this to be more informative. We would also like our audience to look at the dendrogram and immediately spot clusters and relationships among variables. We will now move a bit away from basic R plots and use a package called dendroextras. A sample dendrogram is as follows:

Getting ready

For creating a plot that is easy to interpret and study, we would use the dendroextras package.

For a better understanding on installing packages in R, please refer to the recipe Installing packages and getting help in R, in Chapter 1, A Simple Guide to R:

install.packages("dendroextras")
library(dendroextras)

How to do it…

The dendrogram is constructed using the USArrests data available in R. The dataset consists of four variables (Assault, Murder, Rape, and Percent of Urban Population) in each of 50 states of the USA in 1973. We would load the USArrests...

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