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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

Introduction


Investigating the relationship between two variables may be much easier than investigating it for several variables simultaneously. There is one good reason for that: we can visualize bivariate relationships way better. Problems with numerous amount of variables are often split into several problems with only two variables.

There are several visualizations that supports the two variables context. The most popular of them may be the scatterplots. People are familiar with them, on the other hand there is a problem that haunts many scatterplots: over-plottingting. This chapter begins with recipes to draw very simple scatterplots, going all the way to explore solutions available when it comes to deal with over-plottingting, and demonstrate how enhance scattersplots by setting up marginal graphics.

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