R Graphics Cookbook: Practical Recipes for Visualizing Data (2)

By: Winston Chang

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Synopsis: 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 dataCreate a variety of bar graphs, line graphs, and scatter plotsSummarize data distributions with histograms, density curves, box plots, and moreProvide annotations to help viewers interpret dataControl the overall appearance of graphicsExplore options for using colors in plotsCreate network graphs, heat maps, and 3D scatter plotsGet your data into shape using packages from the tidyverse