R for Data Science
Book • 2017
R for Data Science by Hadley Wickham and Garrett Grolemund provides a practical introduction to data science using R. The book covers essential topics such as data visualization with ggplot2, data manipulation with dplyr, and modeling.
It emphasizes the importance of tidy data and introduces tools like R Markdown for effective communication of results.
It emphasizes the importance of tidy data and introduces tools like R Markdown for effective communication of results.
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Mentioned by Minne Chechiganaya Rundell as a source of example data for AI-assisted data analysis.
Issue 2025-W15 Highlights
