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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


Pie charts, as mediums of data representation, have been widely used in news media, corporate presentations, and research papers. Pie charts have been used in the past to compare data between two time periods as well as to represent parts of a whole in a single pie. However, even with such widespread use, they have been criticized by statisticians. The blog post at http://www.r-chart.com/2010/07/pie-charts-in-ggplot2.html summarizes the main criticism as follows:

  • The relative size of each slice is difficult to interpret. Studies have shown that pie charts are hard to read

  • Pie charts require too much space to present too little information

  • They are frequently rendered in 3D (this makes the previous two issues worse)

The main criticism of pie charts is that they are difficult to interpret, especially when the difference between two slices of a pie is small. Human beings are not trained well to observe angles; hence, many times, pie charts might even be interpreted wrongly. Even...

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