R Graphics Cookbook: Practical Recipes for Visualizing Data

R Graphics Cookbook: Practical Recipes for Visualizing Data

by Winston Chang

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Overview

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

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