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

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