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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
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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

Popular themes with ggthemes


What if you could set themes similar to the ones coming from FiveThirtyEight, The Economist, or the Wall Street Journal? Using the ggthemes package, this is easy to achieve. There are a bunch of other themes available such as Stata, Excel, and Pander. This recipe's goal is to demonstrate how to generally assign some themes from this package.

Getting Ready

There are two requirements. In the first place, we need a ggplot object to draw on; this recipe uses the bubble object created in the previous recipe. You can either make sure it's available on your environment by running that recipe or adapt this recipe by replacing bubble with a ggplot of your own. You also need to make sure that ggthemes is properly installed:

> if(!require(ggthemes)){ install.packages('ggthemes')}

To the playground!

How to do it...

The following steps delineate how to proceed with the recipe:

  1. Load ggthemes and stack theme_fivethirtyeight() to reach for the FiveThirtyEight theme:
> library...
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