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"R (programming language)" as a book category covers texts focused on using and mastering the R language and its ecosystem for data analysis, statistics, visualization, and reproducible research. Books in this category range from beginner tutorials that introduce R syntax, data structures, and basic plotting to intermediate and advanced guides on tidyverse-style data wrangling, statistical modeling, machine learning, package development, Shiny web apps, and performance optimization. Typical formats include cookbooks with ready-to-run recipes, reference manuals, project- or domain-based case studies (e.g., bioinformatics, social science, finance), and best-practice guides for reproducible workflows using RStudio, version control, and literate programming (R Markdown). These books emphasize hands-on examples, code walkthroughs, and real datasets to teach practical skills for statisticians, data scientists, researchers, and programmers working with data.

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