Keep raw data separate from transformed outputs and record package versions with the analysis. Start with a small script that imports, checks, and summarizes the dataset before fitting a model. Store assumptions and diagnostic results alongside figures so another analyst can understand how the conclusions were reached.
This is best suited to researchers and analysts building reproducible statistical workflows. Before committing a larger project, account for these trade-offs: requires learning a programming language; package quality and compatibility vary.
