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R Data Visualization Cookbook

You're reading from   R Data Visualization Cookbook Over 80 recipes to analyze data and create stunning visualizations with R

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Product type Paperback
Published in Jan 2015
Publisher
ISBN-13 9781783989508
Length 236 pages
Edition 1st Edition
Languages
Tools
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Toc

Table of Contents (12) Chapters Close

Preface 1. A Simple Guide to R FREE CHAPTER 2. Basic and Interactive Plots 3. Heat Maps and Dendrograms 4. Maps 5. The Pie Chart and Its Alternatives 6. Adding the Third Dimension 7. Data in Higher Dimensions 8. Visualizing Continuous Data 9. Visualizing Text and XKCD-style Plots 10. Creating Applications in R Index

Creating a very simple shiny app in R


The shiny package allows us to create applications in R. The advantage of using the shiny package is the flexibility it provides to users. The googleVis package provides us with the ability to interact with plot, but the shiny package provides its users with the ability to perform very specific tasks, such as uploading/downloading data interactively or creating GUI to calculate analytics.

Getting ready

We require the shiny package to create an application in R. We also need to create a folder in our current directory called shiny (or any other name) and further create two text documents named as server.r and ui.r in the shiny folder.

How to do it…

The server. r file contains the code that gets executed in R and ui.R contains code that creates the user interface. To launch the application, you can install and load the shiny package in R and further execute the runApp("shiny") function. The runApp() function will only execute if the shiny folder is stored...

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