Metadata-Version: 2.3
Name: bbanalysis
Version: 0.2.0
Summary: Analyzing baseball statistics with salaries
License: MIT
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Requires-Dist: aiohttp>=3.13.2
Requires-Dist: cloudscraper>=1.2.71
Requires-Dist: ipykernel>=7.1.0
Requires-Dist: jupyter>=1.1.1
Requires-Dist: matplotlib>=3.10.8
Requires-Dist: numpy>=2.3.5
Requires-Dist: pandas>=2.3.3
Requires-Dist: plotly>=6.5.0
Requires-Dist: seaborn>=0.13.2
Requires-Dist: statsmodels>=0.14.6
Requires-Dist: streamlit>=1.40.0
Requires-Dist: pytest ; extra == 'dev'
Requires-Python: >=3.11
Project-URL: Homepage, https://github.com/imick5555/baseball_salary_performance
Project-URL: Issues, https://github.com/imick5555/baseball_salary_performance/issues
Project-URL: Repository, https://github.com/imick5555/baseball_salary_performance.git
Provides-Extra: dev
Description-Content-Type: text/markdown

# 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 MLB 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.

https://github.com/cottonjenn/baseball_project/tree/master
https://cottonjenn.github.io/baseball_project/
