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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

An interactive bar plot


We would like to make the bar plot interactive. The advantage of using the Google Chart API in R is the flexibility it provides in making interactive plots. The googleVis package allows us to skip the step to export a plot from R to an illustrator and we can make presentable plots right out of R.

The bar plot functionality in R comes with various options and it is not possible to demonstrate all of the options in this recipe. We will try to explore plot options that are specific to bar plots.

In this recipe, we will learn to plot the returns data of Microsoft over a 2-year period. The data for the exercise was downloaded using Google Finance. We have calculated 1-day returns for Microsoft in MS Excel and imported the CSV in R:

Return = ((Pricet  - Pricet-1)/pricet-1) *100

Readers should note that the following plot is only a part of the actual chart:

Getting ready

In order to plot a bar plot, we would install the googleVis package.

How to do it…

We would start the recipe...

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