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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
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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 a heat map

Heat maps are a visual representation of data wherein each value in a matrix is represented with a color. It has been widely observed among the visualization community that color as a visual cue is ranked toward the bottom when compared with other tools such as position, length, angle, and so on. The traditional heat map is represented in a rectangular format, but at the very basic level a heat map is representing colors for numbers. An interesting implementation of heat maps is its integration with a calendar. We will study the calendar heat maps in detail in the recipe Generating interactive calendar maps in Chapter 7, Data in Higher Dimensions.

The Iraq body count is a database that maintains records of violent civilian deaths since 2003. The heat map clearly shows that the most civilian deaths occurred in the 2006-2008 period and it declined thereafter. Heat maps have a much better application to data such as stock prices, sports data, and biology (to study the levels...

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