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
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Winston Chang
Winston Chang is a software engineer at RStudio, where he works on data visualization and software development tools for R. He has a Ph.D. in Psychology from Northwestern University, and created the Cookbook for R website, which contains recipes for common tasks in R.
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