R for Data Science by Hadley Wickham and Garrett Grolemund

Learn data science with R in this comprehensive guide.

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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 data manipulation and visualization
Includes practical examples and exercises

Cons

Outdated content compared to newer editions
Requires prior knowledge of R programming

FAQ

Is this book suitable for beginners?

Yes, but some background in R is recommended.

What version should I use?

Use the latest edition available online.

Does it cover all data science topics?

It covers core skills and best practices.

Last updated: 2026-06-21