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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

Faceting

This chapter will cover the following recipes:

Creating a faceted bar graph
Crafting faceted histograms
Creating a facet box plot
Crafting a faceted line plot
Making faceted scatterplots
Creating faceted maps
Drawing facets using plotly
Plotting a high quality faceted bar graph

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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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