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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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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

Applying sci themes with ggsci


If you are looking for popular journals' color scales or TV show-based ones, you're looking for the ggsci package. Within it, you find scales based on the Journal of Clinical Oncology (JCO) and The University of Chicago. There are also scales based on Tron Legacy, Star Trek, The Simpsons and Rick and Morty.

This package is different from  ggthemes because it carries only color scales and zero themes. Still, there are a lot of palettes available and theming functions coming from anywhere can be combined to achieve very cool results. Let's stick with the bubble object to demonstrate a couple.

Getting Ready

We're about to call the bubble object created in the Drawing a bubble plot recipe; if you can't see it in your environment, make sure to run that recipe before going on. We also need to make sure that the ggsci package is properly downloaded and installed:

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

Now let's test a couple color scales.

How to do it...

The...

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