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R Graphics Cookbook: Practical Recipes for Visualizing Data

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Visits number : 1843
Category : BookAdvisor
Keywords : R, Data visualization
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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

Author: Winston Chang