R for Data Science, 2E
An open-source book teaching data science using R, covering data import, transformation, visualization, and modeling.
What is R for Data Science, 2E?
R for Data Science is an open-source book that provides a comprehensive introduction to data science using the R programming language. It covers essential topics like data import, transformation, visualization, and modeling, leveraging the tidyverse ecosystem. The book is designed to teach practical skills for real-world data analysis and reproducible research.
Beginners and intermediate learners in data science, statistics, or programming who want to master data analysis with R. It's also valuable for educators and professionals seeking a structured resource for teaching or reference.
It offers a free, community-driven alternative to commercial data science textbooks, with up-to-date content focused on modern R practices like the tidyverse. The open-source nature allows continuous improvement and adaptation to the evolving data science landscape.
Overview
R for data science: a book
Use Cases
Best For
- Learning data science fundamentals with R from scratch
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