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

Generating a slope chart


The idea behind visualizing data is to transfer the information in the right form and use the correct medium. We often observe the use of two different pie charts placed adjacent to each other. These plots are used to compare data between two different time periods. Schwabish (2014) provides slope charts and bar plots as alternatives to using two separate pie charts. The slope charts can be used to study the correlation between variables or to study the change in the same variable between two different time periods.

Some of the applications of slope charts are as follows:

  • Changing obesity rates in the United States

  • Changes in Child Mortality Rate

  • Cancer Survival

The following slope chart implementation has been inspired by the New York Times child mortality infographic:

Getting ready

We need to install and load the plotrix package in R.

How to do it…

We start our recipe by installing and loading the plotrix library in R. The data contained in the mortality1.csv file consist...