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Learning Shiny

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

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Product type Paperback
Published in Oct 2015
Publisher
ISBN-13 9781785280900
Length 246 pages
Edition 1st Edition
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Authors (2):
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Hernan Resnizky Hernan Resnizky
Author Profile Icon Hernan Resnizky
Hernan Resnizky
Hernan Resnizky Hernan Resnizky
Author Profile Icon Hernan Resnizky
Hernan Resnizky
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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...

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