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