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Web Application Development with R Using Shiny

You're reading from   Web Application Development with R Using Shiny Build stunning graphics and interactive data visualizations to deliver cutting-edge analytics

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Product type Paperback
Published in Sep 2018
Publisher
ISBN-13 9781788993128
Length 238 pages
Edition 3rd Edition
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Authors (2):
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Chris Beeley Chris Beeley
Author Profile Icon Chris Beeley
Chris Beeley
Shitalkumar R. Sukhdeve Shitalkumar R. Sukhdeve
Author Profile Icon Shitalkumar R. Sukhdeve
Shitalkumar R. Sukhdeve
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Table of Contents (11) Chapters Close

Preface 1. Beginning R and Shiny 2. Shiny First Steps FREE CHAPTER 3. Integrating Shiny with HTML 4. Mastering Shiny's UI Functions 5. Easy JavaScript and Custom JavaScript Functions 6. Dashboards 7. Power Shiny 8. Code Patterns in Shiny Applications 9. Persistent Storage and Sharing Shiny Applications 10. Other Books You May Enjoy

rCharts

The support in rCharts for different JavaScript libraries is very broad, and there are many possibilities for producing beautiful, interactive graphics. Here, we will take a look at just one and peruse the documentation at ramnathv.github.io/rCharts/ to see the different libraries and graphs supported by the package.

The rCharts package is not available on CRAN but can be installed very easily using the following code:

install.packages("devtools") require(devtools) install_github("ramnathv/rCharts") 

Let's now take a look at one of the many plot outputs possible with this package:

Plot outputs

This plot is a clustered bar chart of the selected input (Average session/Users/Sessions), showing the numbers on each day and in five different countries. Thanks to the magic of D3, the plot is interactive out of the box. It supports mouseover, as shown...

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