In the evolving world of data analysis, mastering the tools that enable efficient data manipulation and visualization is crucial. R for Data Science by Hadley Wickham and Garrett Grolemund offers a comprehensive guide that empowers readers to import, clean, transform, visualize, and model data using R, one of the most powerful programming languages for statistical computing. The book is tailored for both beginners and experienced practitioners, focusing on practical workflows and the tidyverse ecosystem to streamline data science projects.

• Emphasis on the Tidyverse: The book centers around the tidyverse, a collection of R packages...
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