R for Data Science by Hadley Wickham and Garrett Grolemund
Learn data science with R in this comprehensive guide.
Pricing: unknown · Visit website
R for Data Science by Hadley Wickham and Garrett Grolemund teaches you how to use R for data science tasks such as cleaning, transforming, visualizing, and modeling data. It covers best practices including the grammar of graphics, literate programming, and reproducible research. This book is essential for anyone looking to enhance their skills in data analysis with R.
Pros
- Comprehensive coverage of data science techniques
- Best practices for using R
- Includes practical examples and exercises
Cons
- Outdated content (first edition)
- Requires prior knowledge of R
- Not interactive or hands-on
FAQ
Is this book suitable for beginners?
Yes, but some background in programming is recommended.
Does it cover the latest R versions?
The first edition does not; check the updated version online.
Can I use this without prior knowledge of R?
Some familiarity with programming helps, especially for advanced topics.
Top alternatives
A comprehensive guide for advanced R programming.
Advanced R offers in-depth guidance on programming practices and package development, complementing Data Science's broader curriculum.
Text analysis guide using R and tidytext package.
Text Mining with R focuses on text analysis techniques using R, offering practical examples and code for natural language processing tasks.
A comprehensive guide to statistical learning with applications in R and Python.
An Introduction to Statistical Learning offers practical R programming examples and exercises for data analysis, complementing Hadley Wickha
A practical guide for generating high-quality R graphs.
R Graphics Cookbook offers practical recipes for creating visualizations in R, complementing data science workflows with Hadley Wickham's to
JMLR is a peer-reviewed open-access journal for machine learning research.
Journal Of Machine Learning Research offers academic papers on machine learning theory, contrasting R for Data Science's practical programmi
Last updated: 2026-07-27