https://github.com/conorheffron/nba-stats

NBA Analytics (2015 - 2023): Player Statistics
https://github.com/conorheffron/nba-stats

basketball basketball-stats json-api mathplotlib pandas plotly python-3 seaborn sports sports-analytics

Last synced: 6 days ago
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NBA Analytics (2015 - 2023): Player Statistics

• Host: GitHub
• URL: https://github.com/conorheffron/nba-stats
• Owner: conorheffron
• License: gpl-3.0
• Created: 2024-03-18T21:08:17.000Z (9 months ago)
• Default Branch: main
• Last Pushed: 2024-12-04T15:36:00.000Z (23 days ago)
• Last Synced: 2024-12-15T11:39:51.110Z (12 days ago)
• Topics: basketball, basketball-stats, json-api, mathplotlib, pandas, plotly, python-3, seaborn, sports, sports-analytics
• Language: Jupyter Notebook
• Homepage: https://conorheffron.github.io/nba-stats/
• Size: 29.8 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 5
• Metadata Files:
  • Readme: README.md
  • License: LICENSE
  • Security: SECURITY.md

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README

        
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Please see the inital version of this analysis in 2 parts (Jupyter notebooks using various Python 3 libraries).

This includes:

- [part1.ipynb](https://conorheffron.github.io/nba-stats/part1.ipynb) (Part 1 Notebook - download data for analysis via sports API - NBA V2)

- [part2-V1.ipynb](https://conorheffron.github.io/nba-stats/part2-V1.html) (Part 2 Notebook - read, clean, analyse and visualise data stored on disk)

- Data used available at `/raw` dir with all teams/seasons data, please contact `conorheffron` to collaborate on this analysis etc.

- [part2-V2.ipynb](https://conorheffron.github.io/nba-stats/part2-V2.html) (Part 2 Notebook - read, clean, analyse and visualise data stored on disk)