📖
Data Science · R Programming
R for Data Science
Hadley Wickham, Mine Çetinkaya-Rundel, Garrett Grolemund · 2nd edition · 2023
🆓 FreeBeginner★★★★★548 pages
Free online book covering the full tidyverse workflow: import, tidy, transform, visualize, model, and communicate data.
Why you should read this
If you work in academia or statistics, R is often preferred over Python. This book teaches the modern tidyverse approach.
If you work in academia or statistics, R is often preferred over Python. This book teaches the modern tidyverse approach.
Key Topics
Chapters (5)
1Data Visualization14 key concepts
ggplot2 grammar of graphics
2Workflow Basics6 key concepts
Scripts, projects, file management
3Data Transformation16 key concepts
filter, select, mutate, summarize, group_by
4Tidy Data10 key concepts
Pivoting, separating, uniting
5Data Import12 key concepts
CSV, Excel, databases, APIs
Real-World Applications
- Academic research
- Biostatistics
- Social science analysis
- Financial modeling
Best For