This is just a tool I made in two days to have easily accessible information that I could format in anyway I like(mostly graphs). I originally intended for this to be on a hosted relational database using the play by play as a fact table but when planning out how I would access the data it made more sense to use a series of documents.
Insert old schema graph here
The current data is setup as a hierachy where the player_info document drills down to the games_info document which drills down to a play_info table. There is also a seperate depth chart CSV which is a great reference and needs to be linked in players.
Insert new schema here
I still might host this using Mongo or another database tool depending on if I continue to use this and find a dataset which has full names and ids on one page (Tyreek Hill & Taysom Hill caused me more problems than I expected).
Copy the github and double check the paths before you run anything
Final copies of the datsets are in the queries folder along with a script containing some sample queries
DBSetup contains the scripts to build from scratch using the CSVs I created by scraping websites and the 2023 dataset linked here
- Bug occurs because of capitalization differences in names like LaPorta
- Handling duplicates in
playerMungingrequires manual input - Find a new dataset
- Host online for access anywhere