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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 an interactive Gantt/timeline chart in R


Wikipedia describes a Gantt chart as "illustrate the start and finish dates of the terminal elements and summary elements of a project". These charts are used to track the progress of a project displayed against time. The first Gantt chart was developed by Karol Adamiecki in 1890.

Even though the most important application of Gantt charts is in project management, they have been applied in visualization to represent the following:

  • Historical era of artist

  • Periods during which baseball players are disabled

  • Vanishing Wall Street firms

Getting ready

To generate a timeline plot, we will need to install and load the googleVis package in R.

How to do it…

We would import our data in R using the read.csv() function. The gvisTimeline() function requires the dates to be in date format in R. Hence, we use the as.POSIXct() and as.Character() functions to re-define a new data frame:

base = read.csv("disable.csv")
data = data.frame(position = as.character(base...
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