bbanalysis 0.1.1

Analyzing baseball statistics with salaries

final-project-demo

Teaching scaffold for STAT 386 final projects. The repository bundles a Python package, Quarto site, automated tests, and a customizable Streamlit prototype.

We explore the relationship between MBA performance and salaries from 2018-2025. We developed a python package that follows our webscraping, EDA, and multiple linear regression. Our tutorial, documentation, and report are a quarto github pages website, with additonal interactive app via Streamlit.

Quick start

uv sync
uv run pytest

Streamlit prototype

• Edit src/final_project_demo/streamlit_app.py to point at your own data sources, cleaning logic, and visuals.
• Launch the toy UI with:

uv run streamlit run src/final_project_demo/streamlit_app.py

• Use the sidebar toggles to preview how run_cleaning_pipeling and run_analysis_pipeline outputs appear, then replace them with real charts or KPIs.

Quarto site

Rebuild the public site (including the technical report placeholder) with:

uv run quarto render

Serve locally via uv run quarto preview while authoring docs.