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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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 Bianchi Lanzetta Bianchi Lanzetta
Author Profile Icon Bianchi Lanzetta
Bianchi Lanzetta
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Table of Contents (19) Chapters Close

Title Page
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
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

Zooming in on the map


If you want to analyze a specific region better, you might want to zoom in on the map. By doing this, a more detailed and better looking map is achieved. It's not hard to take the previous choropleth and zoom it. Although it's easy to obtain such a result, trusting the wrong tools leads to lame outcomes, so it's important to keep it straight.

With this recipe, we will zoom in on the tri-state area (New York, New Jersey, and Connecticut). Besides zooming in, we will outline them by coloring the outer states with grey. For now, go ahead and check the requirements.

Getting ready

This recipe requires the choropleth and merged_data objects created by the last recipe, Crafting choropleth using ggplot2, hence automatically requesting the same requirements from it.  Having ggplot2 installed, the choropleth object and merged_data in your environment would be enough.

How to do it...

We can zoom into the map as follows:

  1. Manipulate data using the %in% operator to create data that will...
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