R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
Practical guide to using R for data import, tidying, transformation, visualization, and modeling. Key benefit: structured workflows for data science with emphasis on ggplot. Customer insight: valued for writing quality and library depth
Highlights
- tidyverse workflow emphasis
- ggplot visualization focus
- foundational data science guide
Pros
- practical guide for data wrangling
- focus on tidyverse workflows
- emphasizes visualization with ggplot
- clear writing quality
- strong library value
Cons
- features: N/A
