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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

Introduction


Most of the visualizations studied so far have been widely observed in media, magazines, websites, or academic journals. Many of the recipes discussed in this chapter relate to visualizing data in higher dimensions or multivariate data. We might not have encountered some of the visualizations discussed in this chapter due to their limitations, but this does not imply that we cannot utilize them to convey the right information.

In this chapter, we will introduce plots such as sunflower plots, hexbins, calendar maps, coxcombs, and Chernoff faces, which are rarely used but are great tools to explore and present data. We will also explore network plots, pyramid plots, and radial plots, which have been utilized to convey information in a meaningful way.

Note

Note that, while running the code, you might encounter issues where the plots do not look right or they are generated over an existing plot. The best way to avoid this is by clearing the plot window using the clear all tab and typing...

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