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R Data Visualization Cookbook

You're reading from  R Data Visualization Cookbook

Product type Book
Published in Jan 2015
Publisher
ISBN-13 9781783989508
Pages 236 pages
Edition 1st Edition
Languages

Table of Contents (17) Chapters

R Data Visualization Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. A Simple Guide to R 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

Generating a 3D scatter plot with text


The main objective of writing this recipe is to introduce the reader to the additional functionality of the plot3D package. Applying text to a plot provides readers with additional information. If the dataset is large, we might encounter the issue of overlapping text, but it is a great tool to explore and present data.

The package under the code title Two ways to make a scatter 3D of quakes dataset provides an interesting implementation of the scatter3D() function, where the data points in 3D space are projected on a 2D space.

Getting ready

For the current recipe, we would install and load the plot3D package in R.

How to do it…

We will install and load the plot3D package in R using the install.packages() and library() functions. Next, we load the data using the read.csv() function. The dataset is the same data we used in the previous recipe.

install.packages("plot3D")
library(plot3D)
inc= read.csv("income2.csv")

We will define the column names as row names...

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