Book Image

Web Application Development with R Using Shiny Second Edition - Second Edition

By : Chris Beeley
Book Image

Web Application Development with R Using Shiny Second Edition - Second Edition

By: Chris Beeley

Overview of this book

R is a highly flexible and powerful tool for analyzing and visualizing data. Most of the applications built using various libraries with R are desktop-based. But what if you want to go on the web? Here comes Shiny to your rescue! Shiny allows you to create interactive web applications using the excellent analytical and graphical capabilities of R. This book will guide you through basic data management and analysis with R through your first Shiny application, and then show you how to integrate Shiny applications with your own web pages. Finally, you will learn how to finely control the inputs and outputs of your application, along with using other packages to build state-of-the-art applications, including dashboards.
Table of Contents (14 chapters)
Web Application Development with R Using Shiny Second Edition
Credits
About the Author
About the Reviewer
www.PacktPub.com
Preface
Index

rCharts


The support within rCharts for different JavaScript libraries is very broad, and there are many possibilities of producing beautiful, interactive graphics. Here, we will take a look at just one and peruse the documentation at http://rcharts.io/ 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. The final application tab looks like this:

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. Note that the number of sessions and users is logged because the UK has far more of these than any other country (as you would expect), and using a logged scale, makes the graph fit on the page better. Thanks to the magic...