R Graphics Cookbook: Practical Recipes for Visualizing Data

R Graphics Cookbook: Practical Recipes for Visualizing Data

by Winston Chang


$62.99 $69.99 Save 10% Current price is $62.99, Original price is $69.99. You Save 10%.
View All Available Formats & Editions
Choose Expedited Shipping at checkout for guaranteed delivery by Tuesday, November 26


This O’Reilly cookbook provides more than 150 recipes to help scientists, engineers, programmers, and data analysts generate high-quality graphs quickly—without having to comb through all the details of R’s graphing systems. Each recipe tackles a specific problem with a solution you can apply to your own project and includes a discussion of how and why the recipe works.

Most of the recipes in this second edition use the updated version of the ggplot2 package, a powerful and flexible way to make graphs in R. You’ll also find expanded content about the visual design of graphics. If you have at least a basic understanding of the R language, you’re ready to get started with this easy-to-use reference.

  • Use R’s default graphics for quick exploration of data
  • Create a variety of bar graphs, line graphs, and scatter plots
  • Summarize data distributions with histograms, density curves, box plots, and more
  • Provide annotations to help viewers interpret data
  • Control the overall appearance of graphics
  • Explore options for using colors in plots
  • Create network graphs, heat maps, and 3D scatter plots
  • Get your data into shape using packages from the tidyverse

Product Details

ISBN-13: 9781491978603
Publisher: O'Reilly Media, Incorporated
Publication date: 11/22/2018
Pages: 444
Sales rank: 337,231
Product dimensions: 6.90(w) x 9.10(h) x 1.00(d)

About the Author

Winston Chang is a software engineer at RStudio, where he works on data visualization and software development tools for R. He has a Ph.D. in Psychology from Northwestern University, and created the Cookbook for R website, which contains recipes for common tasks in R.

Table of Contents

  • Preface
  • Chapter 1: R Basics
  • Chapter 2: Quickly Exploring Data
  • Chapter 3: Bar Graphs
  • Chapter 4: Line Graphs
  • Chapter 5: Scatter Plots
  • Chapter 6: Summarized Data Distributions
  • Chapter 7: Annotations
  • Chapter 8: Axes
  • Chapter 9: Controlling the Overall Appearance of Graphs
  • Chapter 10: Legends
  • Chapter 11: Facets
  • Chapter 12: Using Colors in Plots
  • Chapter 13: Miscellaneous Graphs
  • Chapter 14: Output for Presentation
  • Chapter 15: Getting Your Data into Shape
  • Introduction to ggplot2
  • Colophon

Customer Reviews

Most Helpful Customer Reviews

See All Customer Reviews