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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

Constructing a waterfall plot in R


The waterfall plots or staircase plots are observed mostly in financial reports. I have not come across a nonfinancial application of these plots. The first and last columns of the plot are usually a total column and the floating columns indicate the incremental change. In this recipe, we generate some fake data of sales figures for every month.

Getting ready

In order to generate a waterfall plot, we will need to install and load the plotrix package in R.

How to do it…

The data for the same is imported in R using the read.csv() function. If we view the data, it begins with a total from last year's sales and we have some gains and some losses in sales, which are indicated by positive and negative values. The last row represents the current year's sales, which is the sum of all the rows:

sales = read.csv("waterf.csv")

The waterfall plot is constructed in R using the staircase.plot() function:

staircase.plot(sales$value, totals= sales$logic, labels = sales$labels...
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