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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 3D scatter plot


A 3D scatter plot is a great tool for visualizing multivariate data. Adding a third dimension to the existing plot helps in revealing information and portraying data from a newer angle. Even higher dimensions, such as the fourth and fifth, can be visualized by making use of color and shape attributes. We will implement this recipe using the plot3D package. The following screenshot shows a 3D scatter plot:

Getting ready

To implement a scatter plot in 3D, we will need to install and load the plot3D package in R. The manual for the package is available on the CRAN website http://cran.r-project.org/web/packages/plot3D/plot3D.pdf.

How to do it…

The package is installed and loaded in R using the install.packages() and library() functions respectively in R.

install.packages("plot3D")
library(plot3D)

The data used in generating the scatter plot is part of the book titled An Introduction to Statistical Learning, Gareth James, Daniela Witten, Trevor Hastie, and Robert Tibshirani...

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