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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 2. Plotting Two Continuous Variables FREE CHAPTER 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


There is a wide variability among bivariate plots. Even if we have seen some of them, there are still some popular ones remaining. Bars, for instance, can account for bivariate data in more than one way. Also, there are line graphs, very popular among economists. Not to talk about hexagons plots, just like the one we glanced at Chapter 2, Plotting Two Continuous Variables.

This chapter covers these kinds of visualizations, bivariate bar chars, line and hexagon plots. Most of the recipes found in this chapter are focused on ggplot2, yet some recipes are carrying ggvis and plotly codes.

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