Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Learning Shiny

You're reading from   Learning Shiny Make the most of R's dynamic capabilities and implement web applications with Shiny

Arrow left icon
Product type Paperback
Published in Oct 2015
Publisher
ISBN-13 9781785280900
Length 246 pages
Edition 1st Edition
Languages
Tools
Arrow right icon
Authors (2):
Arrow left icon
Hernan Resnizky Hernan Resnizky
Author Profile Icon Hernan Resnizky
Hernan Resnizky
Hernan Resnizky Hernan Resnizky
Author Profile Icon Hernan Resnizky
Hernan Resnizky
Arrow right icon
View More author details
Toc

Table of Contents (13) Chapters Close

Preface 1. Introducing R, RStudio, and Shiny FREE CHAPTER 2. First Steps towards Programming in R 3. An Introduction to Data Processing in R 4. Shiny Structure – Reactivity Concepts 5. Shiny in Depth – A Deep Dive into Shiny's World 6. Using R's Visualization Alternatives in Shiny 7. Advanced Functions in Shiny 8. Shiny and HTML/JavaScript 9. Interactive Graphics in Shiny 10. Sharing Applications 11. From White Paper to a Full Application Index

A walk around the googleVis package


googleVis is a package in R that mainly interfaces R and Google Chart's API. This means that you can create Google charts within R via high-level functions. This has the great advantage of not needing to make service calls and parse the objects to generate the charts. Unlike traditional plotting in R, Google charts are displayed in a browser. In fact, their plot creation functions do not display a plot directly but generate an HTML code.

When working under R but not in a Shiny application, a plot() call with the HTML object as argument automatically opens a browser with the corresponding plot. The following is an example of this:

data(iris)

iris.table <- aggregate(Petal.Length ~ Species, data=iris, FUN="mean")

column.chart <- gvisColumnChart(iris.table,"Species","Petal.Length")
plot(column.chart)

As it was said previously, gvisColumnChart() does not generate a plot by itself but it generates a list with an HTML code that will generate the corresponding...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime