15 -- Moneyball -- Andrew Pierce

[andrewmpierce]

• [x] Blank slate
  • [x] Create a GitHub repo called moneyball
  • [x] Copy all the files from this repo into it
  • [x] Set up your requirements/virtual environment
  • [x] Create a data folder and put the baseball statistics data into it
• [x] Normal mode
  • [x] Join together the relevant tables into DataFrame object(s)
  • [x] Calculate OBP of players and discard outliers
  • [x] Given a specific year, put together a 9-player roster that maximizes the OBP of the players while minimizing their salary
  • [x] Ensure that you have a complete roster with players who played at each position and that you aren't planning on using clones of players
• [ ] Hard mode
  • [ ] Adjust player salaries for inflation
  • [ ] Build an all-star moneyball dream team using the adjusted salaries

[andrewmpierce]

https://github.com/andrewmpierce/moneyball @powder-river Normal mode done.

Also I realized once I was almost done cleaning the data that I could have done it far more effectively than just deleting column after column, but what's done is done. It works!

[powder-river]

@andrewmpierce WHOA!!! lol. Yeah I'm guessing you've now discovered other methods such as .drop() Code looks good man!!!