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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

Product type Paperback

Published in Nov 2017

Publisher Packt

ISBN-13 9781788398312

Length 366 pages

Edition 1st Edition

Languages

R

Tools

ggplot

Concepts

Data Visualization

Author (1):

Vitor Bianchi Lanzetta

View More author details

Table of Contents (13) Chapters

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

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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Authors (1)

Bianchi Lanzetta

Bianchi Lanzetta

Vitor Bianchi Lanzetta (@vitorlanzetta) has a master's degree in Applied Economics (University of So PauloUSP) and works as a data scientist in a tech start-up named RedFox Digital Solutions. He has also authored a book called R Data Visualization Recipes. The things he enjoys the most are statistics, economics, and sports of all kinds (electronics included). His blog, made in partnership with Ricardo Anjoleto Farias (@R_A_Farias), can be found at ArcadeData dot org, they kindly call it R-Cade Data.

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