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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

Making simple maps - 1854 London Streets


 Plotting an entire country, district, lakes and forests can be seen as a task for polygons while plotting streets, roads, and rivers a quest for paths to handle. Really informative maps would request much more than this recipe is going to teach but we're getting there. This recipe is going to show you how to plot some 1854 London streets.

Do not get anxious, maps are pretty cool and there is plenty of stuff to learn. Step by step, this chapter will introduce you to a lot of useful ones. This recipe's intention is to show you how maps can simply be translated into paths (and polygons); later, we will be improving this very map to get a result very similar to the one that John Snow (the doctor, not the ranger) breed.

Getting ready

Besides the regulars (ggplot2, ggvis, and plotly), the king (the king being this recipe) demands the HistData package:

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

For now, we're still relying on packages to bring...

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