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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

Introducing choropleth maps


Choropleth maps have been extensively used as a medium to represent statistical data. Choropleth maps can be used to represent different data types, such as quantitative, diverging, or qualitative data, using color schemes. The RColorBrewer website provides a great guide to select the color scheme based on the data available to the user. Legends play a very vital role in choropleth maps as we need to state what each color represents in a map.

Choropleth maps can be state level as well as county level. In this recipe, we will plot well-being data on a state level. The data is made available by Gallup (http://www.gallup.com/home.aspx).

Please note that there is more than one way to plot a choropleth map. We can use the basic R plotting function along with the maps package or use ggplot to plot a choropleth map. The benefit of the googleVis package is that it makes the plot interactive and makes it easy to integrate with web pages or blogs.

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