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
