R Graphics Cookbook: Practical Recipes for Visualizing Data

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

• R Cookbook: Proven Recipes for Data Analysis, Statistics, and Graphics
• Advanced R, Second Edition (Chapman & Hall/CRC The R Series)
• R Cookbook (O'Reilly Cookbooks)
• R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
• ggplot2: Elegant Graphics for Data Analysis (Use R!)
• Data Visualization: A Practical Introduction
• Machine Learning with R: Expert techniques for predictive modeling, 3rd Edition
• Fundamentals of Data Visualization: A Primer on Making Informative and Compelling Figures
• Practical Statistics for Data Scientists: 50 Essential Concepts
• Hands-On Programming with R: Write Your Own Functions And Simulations