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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

Generating a simple correlation plot


Correlation plots are a great tool to visualize correlation data. When two sets of data are related to one another, we say they are correlated. Hence, correlation can be negative, positive, or 0 (implying no correlation). The strength of the relationship can be defined by the correlation coefficient, which ranges from -1 (strong negative correlation) to 1 (strong positive correlation). What this implies is that when one series moves, the other series is most likely to move. The direction of the movement depends on the sign and the coefficient. Readers should note that correlation does not imply causation. Google Correlate allows its users to perform correlation on real world data.

Getting ready

We need to install and load the following two packages in R:

  • corrplot

  • quantmod

How to do it…

For the purpose of this recipe, we will download foreign exchange data of various currencies by using the quantmod package:

rates=c("USD/EUR","USD/GBP","USD/CHF","USD/JPY...
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