This practical guide provides more than 150 recipes to help you 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 use the ggplot2 package, a powerful and flexible way to make graphs in R. If you have a basic understanding of the R language, you’re ready to get started.

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 other examples
Provide annotations to help viewers interpret data
Control the overall appearance of graphics
Render data groups alongside each other for easy comparison
Use colors in plots
Create network graphs, heat maps, and 3D scatter plots
Structure data for graphing

About the Author

Winston Chang is a software engineer at RStudio, where he works on data visualization and software development tools for R. He holds a Ph.D. in Psychology from Northwestern University. During his time as a graduate student, he created a website called "Cookbook for R", which contains recipes for handling common tasks in R. In previous lives, he was a philosophy graduate student and a computer programmer.

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