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

Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages. Seller Inventory # M01491978600-V

Bibliographic Details

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

Publisher: O'Reilly Media

Publication Date: 2018

Binding: Soft cover

Condition: very 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.