https://github.com/ejw-data/proj-nba-eda

NBA exploratory data analysis project with Pandas and Tableau
https://github.com/ejw-data/proj-nba-eda

nba numpy pandas python tableau

Last synced: 2 months ago
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NBA exploratory data analysis project with Pandas and Tableau

• Host: GitHub
• URL: https://github.com/ejw-data/proj-nba-eda
• Owner: ejw-data
• Created: 2022-10-03T23:15:30.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2023-03-06T01:49:56.000Z (over 3 years ago)
• Last Synced: 2025-07-18T09:46:10.254Z (11 months ago)
• Topics: nba, numpy, pandas, python, tableau
• Language: Jupyter Notebook
• Homepage:
• Size: 452 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# proj-nba-eda

Author:  Erin James Wills, ejw.data@gmail.com  

![Tableau Banner](./images/nba-tableau.png)  

Photo by Markus Spiske on Unsplash




## Overview  

  

NBA exploratory data analysis project with Pandas and Tableau 





## Technologies    

*  Tableau




## Data Source  

*  NBA Revenue - https://runrepeat.com/nba-revenue-statistics  

*  NBA Salaries - https://hoopshype.com/salaries/  

*  NBA Salaries - https://data.world/datadavis/nba-salaries 

*  Alternate Pay - https://www.spotrac.com/nba/cash/   

*  All Stars - https://data.world/gmoney/nba-all-stars-2000-2016 




## Setup and Installation   

1.  A copy of the tableau workbook is `xxxxxx_v2022_1.twbx`.

1.  The dashboard can be viewed at https://ejw-data.github.io/xxxxxx/.  




## Examples  

TBD

## References:

Something to think about:  https://www.si.com/nba/2018/09/21/nba-teams-revenue-spending-breakdown-small-large-market  

Definitions:  

**Hard cap**: A team salary figure (set at the apron) that, once triggered, cannot be crossed for any reason. A hard cap can be triggered in one of three ways:  

*  A team uses the non-taxpayer mid-level exception.  

*  A team uses the bi-annual exception.  

*  A team acquires a player through a sign-and-trade.  

https://www.cbssports.com/nba/news/nba-salary-cap-explained-glossary-for-the-terms-you-need-to-know-ahead-of-basketball-free-agency/#:~:text=Hard%20cap%3A%20A%20team%20salary,uses%20the%20bi%2Dannual%20exception.

## ETL

Tables

* player

    - player_id

    - player_name

    - birthdate

    - first_game_date

    - retirement_date

* player-injury

    - player_id

    - injury

    - start_date

    - end_date

* team

    - team_id

    - team_name

    - team_abbrev

    - team_city

    - team_mascot

    - start_date

    - end_date

* games (schedule??)

    - game_id

    - home_team

    - away_team

    - location

    - arena

    - start_date

    - start_time_et

    - start_time_local

* player-team

    - player_id

    - team_id

    - position

    - start_date

    - end_date

* play-by-play

    - game_id

    - event_id

    - event_description

    - game_time

    - player_id

* players-substitution

    - player_id

    - game_id

    - team_id

    - quarter

    - time

    - type (sub-in or sub-out)

* players-scored

    - player_id

    - type_score (foul_shot, layup, dunk, 3ptr, etc)

    - location

    - pts_scored

    - quarter

    - time

    - shotclock

* players-fouls

    - player_id

    - type 

    - player_fouled

    - shooting_foul

    - pts_scored

* players-defense

    * player_id

    * type (steal, block, turnover)

    * offense_player

    * quarter

    * time

* players-assists

    - player_id

    - type (assist)

    - player_scored

* players-rebounds

    - player_id

    - type (offensive/defensive)

    - quarter

    - time

    - next play

* player-salary

    - player_id

    - season

    - income_source

    - conditions

* team-caps

*** What to record for p-b-p

    - event log

        - event_id

        - raw_description

        - table

        - _id

        - quarter

        - time