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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

Creating an interactive cholera map using plotly


The hoover feature displayed by plotly makes this package a very attractive option when it comes to the creation of interactive maps. The previous recipe intended to show you how maps can be seem and made out from primitives like paths; now it's time to see how points can add useful information.

This particular recipe will make an interactive version of a graph made by Doctor John Snow. For those who don't know him yet, his graph showed the spatial relation between cholera deaths happening in 1854 London and water pumps; at the time, the general believe was that cholera spreads through the air. He fixed the outbreak by making the contaminated pump unavailable.

His map outlines the spatial relation between water pumps and deaths by cholera; hence, proving that cholera was spreading through water. This map made its way into the hall of fame; for some people, it is the first important application of data visualization dedicated to human health...

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