Ravix Documentation
Version: 1.0.1 | Source · Issues · Textbook
Ravix is a Python package for applied regression in business analytics. It provides clean, readable functions for the full statistical analysis workflow: fitting models, running diagnostics, selecting variables, and producing publication-ready visualizations. Ravix is the companion package for Applied Linear Regression for Business Analytics with Python (Springer).
🚀 Getting started
New to Ravix? The Quickstart covers installation, loading a dataset, fitting a model, and reading the output.
→ Quickstart📖 User Guide
In-depth coverage of OLS fitting, diagnostics, model selection, and visualization with worked examples.
→ User Guide🤝 Contribute
Want to improve Ravix? The contributing guide covers bugs, pull requests, tests, and documentation.
→ Contributing guide