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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

Constructing a correlation plot and a phrase tree


In the previous recipe, we learned how to create a comparison cloud, which allows us to study the differences or similarities between two documents. In the process, we generated the term document matrix. In this recipe, we will learn some important matrix functions that allow us to further conduct text analysis and also generate a correlation plot.

We will also learn how to generate a phrase tree or a word tree. Wattenberg and Viegas (2008) state that a word tree places a tree structure for the words that follow a particular search term and uses that structure to arrange those words spatially. At the time of writing this book, I was unable to find a package that would allow me to construct a word tree in R. Hence, I have used an external link to demonstrate it. The latest version of Google Charts allows you to generate a word tree; however, the googleVis package in R does not.

Getting ready

To generate a correlation plot, we will use the following...

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