R Graphics Cookbook: Practical Recipes for Visualizing Data
<p>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.</p><p>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.</p><ul><li>Use R’s default graphics for quick exploration of data</li><li>Create a variety of bar graphs, line graphs, and scatter plots</li><li>Summarize data distributions with histograms, density curves, box plots, and other examples</li><li>Provide annotations to help viewers interpret data</li><li>Control the overall appearance of graphics</li><li>Render data groups alongside each other for easy comparison</li><li>Use colors in plots</li><li>Create network graphs, heat maps, and 3D scatter plots</li><li>Structure data for graphing</li></ul>