R Graphics Cookbook: Practical Recipes for Visualizing Data

Chang, Winston

ISBN 10: 1491978600 / ISBN 13: 9781491978603

Published by O'Reilly Media, 2018

About this Item

Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority! Seller Inventory # S_429956074

Bibliographic Details

Title: R Graphics Cookbook: Practical Recipes for ...

Publisher: O'Reilly Media

Publication Date: 2018

Binding: Paperback

Condition: Good

Edition: 2nd Edition

About this title

Synopsis:

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

About the Author:

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.