R for Data Science by Hadley Wickham, Mine Cetinkaya-Rundel, and Garrett Grolemund is an English-language textbook that focuses on the field of data science. This reference work is intended for readers who want to learn how to effectively import, transform, visualize, and model data with R and the tidyverse.
The book covers practical skills for data scientists, from processing data from spreadsheets, databases, and websites to creating clear visualizations and applying programming tools in R. In addition, it provides an overview of the data science cycle and helps users communicate results clearly with Quarto. This book is suitable for anyone who wants to learn how data science works in a business or research context.
Key topics include:
- Importing data in a format suitable for analysis
- Transforming and cleaning data
- Visualizing data for exploration and reporting
- Programming with R to solve data-related problems
- Communicating results by integrating text and code
The content aligns with themes such as data capture, data analysis, database management, and data visualization within the context of data science for data professionals.