Book Image

R Data Visualization Cookbook

Book Image

R Data Visualization Cookbook

Overview of this book

Table of Contents (17 chapters)
R Data Visualization Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
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...