R Graphics Cookbook : Practical Recipes for Visualizing Data

Winston Chang

ISBN 10: 1491978600 / ISBN 13: 9781491978603

Published by O'reilly Media Feb 2020, 2020

About this Item

Neuware - 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.

Seller Inventory # 9781491978603

Bibliographic Details

• Title: R Graphics Cookbook : Practical Recipes for Visualizing Data
• Publisher: O'reilly Media Feb 2020
• Publication Date: 2020
• Language: English
• ISBN 10: 1491978600
• ISBN 13: 9781491978603
• Binding: Taschenbuch
• Edition: 2nd Edition
• Condition: Neu
• Dimensions: 233W x 177H x 25D millimeters 233 millimeters width by 177 millimeters height by 25 millimeters depth
• Weight: 964 grams

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.