English | 2019 | ISBN: 1491978600 | 443 Pages | PDF | 32 MB
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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| Filename | Size | Filetype |
|---|
| R Graphics Cookbook Practical Recipes for Visualizing Data, 2nd Edition | 32.4 MB | Folder |
| | R Graphics Cookbook Practical Recipes for Visualizing Data, 2nd Edition.pdf | 32.4 MB | Adobe Document File |
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