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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

Using ggtech to mimic tech companies themes


The ggtech package is useful to mimic themes from tech companies like Facebook, Google, Airbnb, Etsy, and Twitter. I find the last one pretty amazing to do some Twitter analysis, like word frequency or even to design a plot I wish to tweet. Once we get all the required fonts properly installed and imported, using ggtech is actually very easy; there are also geometries available. This recipe aims for a Twitter thematic plot.

Getting Ready

First things first, make sure to have ggtech installed; we need the devtools package for this. Also make sure that the fonts installed in the previous recipe are loaded into your R session using the extrafont package:

> if(!require(extrafont)){ install.packages('extrafont')}
> extrafont::loadfonts()
> if(!require(devtools)){ install.packages('devtools')}
> if(!require(ggtech)){ 
   library(devtools)
   install_github("ricardo-bion/ggtech", dependencies=FALSE)}

Let's understand what this package can do.

How...

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