NBA Data Analysis

Read this before you start with the project.

There is no specific order in which you must run the python scripts. But I would recommend the following order:

1. Web Scrape NBA Data
2. Data Analysis NBA 2004 to 2020
3. Stephen Curry Analysis
4. Height and Weight Analysis of NBA Players
5. NBA Simple Shot Chart

Please read the .md files of all of the above main files.

The site from which the majority of the data has been taken is: https://www.basketball-reference.com/ The official NBA site is pretty thorough as well but I prefer Basketball Refernce because of the easy access to information.

Some of the abbreviations to get acquainted before you start are:

1. Age -- Player's age on February 1 of the season
2. Tm -- Team
3. Lg -- League
4. Pos -- Position
5. G -- Games
6. GS -- Games Started
7. MP -- Minutes Played Per Game
8. FG -- Field Goals Per Game
9. FGA -- Field Goal Attempts Per Game
10. FG% -- Field Goal Percentage
11. 3P -- 3-Point Field Goals Per Game
12. 3PA -- 3-Point Field Goal Attempts Per Game
13. 3P% -- 3-Point Field Goal Percentage
14. 2P -- 2-Point Field Goals Per Game
15. 2PA -- 2-Point Field Goal Attempts Per Game
16. 2P% -- 2-Point Field Goal Percentage
17. eFG% -- Effective Field Goal Percentage. This statistic adjusts for the fact that a 3-point field goal is worth one more point than a 2-point field goal.
18. FT -- Free Throws Per Game
19. FTA -- Free Throw Attempts Per Game
20. FT% -- Free Throw Percentage
21. ORB -- Offensive Rebounds Per Game
22. DRB -- Defensive Rebounds Per Game
23. TRB -- Total Rebounds Per Game
24. AST -- Assists Per Game
25. STL -- Steals Per Game
26. BLK -- Blocks Per Game
27. TOV -- Turnovers Per Game
28. PF -- Personal Fouls Per Game
29. PTS -- Points Per Game

If you have any doubts, let me know in the Issues section.