R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
by Garrett Grolemund, Mine Çetinkaya-Rundel, Hadley Wickham
R for Data Science presents a practical approach to working with data in R. Covering import, tidying, transformation, visualization, and modeling, it offers a structured path through the essential stages of data science for readers developing analytical and programming skills.
About This Book
R for Data Science introduces a practical workflow for working with data in the R programming environment.
The book covers importing data, organizing it into a tidy form, transforming it for analysis, and creating visual representations.
It also addresses modeling data, helping readers connect preparation and exploration with deeper analytical work.
Designed as a structured resource, it brings together core stages of the data science process in one volume.
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