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R Data Visualization Recipes

You're reading from   R Data Visualization Recipes A cookbook with 65+ data visualization recipes for smarter decision-making

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Product type Paperback
Published in Nov 2017
Publisher Packt
ISBN-13 9781788398312
Length 366 pages
Edition 1st Edition
Languages
Tools
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Author (1):
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Vitor Bianchi Lanzetta Vitor Bianchi Lanzetta
Author Profile Icon Vitor Bianchi Lanzetta
Vitor Bianchi Lanzetta
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Table of Contents (13) Chapters Close

Preface 1. Installation and Introduction FREE CHAPTER 2. Plotting Two Continuous Variables 3. Plotting a Discrete Predictor and a Continuous Response 4. Plotting One Variable 5. Making Other Bivariate Plots 6. Creating Maps 7. Faceting 8. Designing Three-Dimensional Plots 9. Using Theming Packages 10. Designing More Specialized Plots 11. Making Interactive Plots 12. Building Shiny Dashboards

Installing and loading a shiny package

This recipe is intended to show the reader how to download the shiny development package. It also teaches the reader how to load the package and craft an empty web application. Even an empty application is still useful to explain the very basics of working a web app with shiny.

How to do it...

Once we're looking for a package's development version, we must reach for GitHub, and that said, we need devtools.

  1. Look for the devtools package. Once it's locked and loaded, we can proceed to make sure shiny will be installed:
> if(!require(devtools)){install.packages('devtools')}
> if(!require(shiny))
> {devtools::install_github('rstudio/shiny&apos...
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