triathlon-project 0.1.0

A data analysis package for Triathlon runners

Triathlon project

This is our STAT 386 Data Science Project. The repository bundles a Python package, Quarto site, automated tests, and a customizable Streamlit prototype.

Quick start

uv sync
uv run pytest

Streamlit prototype

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

uv run streamlit run src/triathlon_project/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.