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

Downloading data from RGoogleAnalytics


We did not cover using the RGoogleAnalytics API in detail in Chapter 2, Building Your First Application, and won't here either because it's a little outside of the scope of this book. The Google Analytics application in this book makes use of the RGoogleAnalytics package mentioned in Chapter 2, Building Your First Application. The code is given and briefly summarized in the following section to give you a feel for how to use it.

Note that my username and password have been replaced with XXXX. You can get your own user details from the Google Analytics website. Also note that this code is not included on the GitHub because it requires the username and password to be present in order for it to work.

library(RGoogleAnalytics)

### Generate the oauth_token object
oauth_token <- Auth(client.id = "xxxx",
  client.secret = "xxxx")

# Save the token object for future sessions
save(oauth_token, file = "oauth_token")

Once you have your client.id and client.secret...