R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
by Garrett Grolemund, Hadley Wickham
R for Data Science presents a practical introduction to using R across the data science workflow. Garrett Grolemund and Hadley Wickham cover importing, tidying, transforming, visualizing, and modeling data, giving readers a structured foundation for working with data and developing useful analytical skills.
About This Book
R for Data Science introduces the R programming language through the essential tasks of working with data.
The book focuses on importing, tidying, transforming, visualizing, and modeling data with R.
Its structure follows a practical data science workflow, helping readers connect individual techniques into a broader process.
Written by Garrett Grolemund and Hadley Wickham, it is suited to readers learning how R can support data analysis.
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