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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

Crafting choropleth maps using ggplot2


Choropleths are thematic maps, usually colored according to a third continuous variable. This recipe demonstrates how to brew these using ggplot2. This recipe crafts a choropleth displaying the 1985 USA states' gross product (GSP). The way I see it--there are at least four important things to check out from this recipe:

  • How to use ggplot2 to get map data
  • How to merge map data (coordinates and stuff) and other data in order to plot
  • How to use polygons and colors to draw the map and make a choropleth
  • How to manipulate the guide color bar

To the job!

Getting ready

Besides ggplot2, we need some data coming from Ecdat, and dplyr is used to manipulate data. Make sure to have both by running the following:

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

Let's roll.

How to do it...

Let us start with the choropleth:

  1. ggplot2 has a function called map_data(), which is just what we need to a create data frame with...
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