R Graphics Cookbook: Practical Recipes for Visualizing Data, 2nd Edition

R Graphics Cookbook: Practical Recipes for Visualizing Data, 2nd Edition
PDF, ePUB
  • eBook:
    R Graphics Cookbook: Practical Recipes for Visualizing Data, 2nd Edition
  • Author:
    Winston Chang
  • Edition:
    2 edition
  • Categories:
  • Data:
    November 30, 2018
  • ISBN:
    1491978600
  • ISBN-13:
    9781491978603
  • Language:
    English
  • Pages:
    444 pages
  • Format:
    PDF, ePUB

Book Description
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

Content

Chapter 1. R Basics
Chapter 2. Quickly Exploring Data
Chapter 3. Bar Graphs
Chapter 4. Line Graphs
Chapter 5. Scatter Plots
Chapter 6. Summarized Data Distributions
Chapter 7. Annotations
Chapter 8. Axes
Chapter 9. Controlling the Overall Appearance of Graphs
Chapter 10. Legends
Chapter 11. Facets
Chapter 12. Using Colors in Plots
Chapter 13. Miscellaneous Graphs
Chapter 14. Output for Presentation
Chapter 15. Getting Your Data into Shape

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