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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

Introducing a scatter plot


Scatter plots are used primarily to conduct a quick analysis of the relationships among different variables in our data. It is simply plotting points on the x-axis and y-axis. Scatter plots help us detect whether two variables have a positive, negative, or no relationship. In this recipe, we will study the basics of plotting in R using scatter plots. The following screenshot is an example of a scatter plot:

Getting ready

For implementing the basic scatter plot in R, we would use Carseats data available with the ISLR package in R.

How to do it…

We will also start this recipe by installing necessary packages using the install.packages() function and loading the same in R using the library() function:

install.packages("ISLR")
library(ISLR)

Next, we need to load the data in R. Almost all R packages come with preloaded data and hence we can load the data only after we load the library in R. We can attach the data in R using the attach() function. We can view the entire list...

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