R is a language built for statistical computing and data analysis, and it shines wherever rigorous data manipulation, visualization, and modeling are needed. The tutorials here go beyond textbook exercises — you’ll build interactive web applications with Shiny’s reactive programming model, automate cryptocurrency trading with bot logic, and mine hidden patterns from transactional data using association rule techniques. No prior web development experience is required, and all packages are available from CRAN.Documentation Index
Fetch the complete documentation index at: https://mintlify.com/practical-tutorials/project-based-learning/llms.txt
Use this file to discover all available pages before exploring further.
R tutorials here use standard CRAN packages. The Shiny tutorial requires the ‘shiny’ package; others may need tidyverse, quantmod, or arules.