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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 bar plot using XML in R

In the prior recipe, we learned to construct an API, studied various elements of an API, and imported data using the New York Times API. In this section, we will go a step further and import the data directly in R, parse the XML data, construct and structure our data, and plot a bar plot. For this recipe, we will use the New York Times website, but instead of real estate data, we will use the campaign finance data. The bar plot is shown as follows:

Constructing a bar plot using XML in R

Getting ready

In order to extract data from the New York Times and generate a bar plot, we would use the XML package and the generic plot function in R.

How to do it…

To extract the data from New York Times website, we will register our key with the Campaign Finance API. Please refer to the Basic introduction to API and XML recipe to understand how to register.

Once we register our API, we can now install and load the XML package in R using the install.packages() and library() functions:

install.packages...
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