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.
Avantages
- Comprehensive coverage of data science techniques
- Best practices for using R
- Includes practical examples and exercises
Inconvénients
- Outdated content (first edition)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.
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Mis à jour le : 2026-07-27