Baseball Salary Analysis
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.
- GitHub Repo: https://github.com/cottonjenn/baseball_project/tree/master
- Project Website: https://cottonjenn.github.io/baseball_project/
1 maintainer
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Release files for bbanalysis 0.2.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| bbanalysis-0.2.2.tar.gz | 1.7 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| bbanalysis-0.2.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 3.3 MB
Release files / bbanalysis-0.2.2.tar.gz
| Download URL | bbanalysis-0.2.2.tar.gz |
|---|---|
| Size | 1.7 MB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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twine/6.2.0 CPython/3.12.3
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Release files / bbanalysis-0.2.2-py3-none-any.whl
| Download URL | bbanalysis-0.2.2-py3-none-any.whl |
|---|---|
| Size | 1.7 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
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twine/6.2.0 CPython/3.12.3
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