Skip to content

Investigating the relationship between revenue and performance in the NBA

Notifications You must be signed in to change notification settings

massachusett/nba-revenue

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

4 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

About this Repository

This repository contains my final project (in collaboration with Joseph Doraid '23) for STAT 139: Introduction to Linear Models. This course was taken during my time as undergraduate student at Harvard during the Fall '22 semester. The project centers around investigating the statistical relationship between teams' on-court performance in the NBA and their future revenue when controlling for other factors.

Directory Guide

A full writeup of the project can be found in "writeup.pdf"

The code used to investigate and model the relationship between revenue and performance can be found in "code.Rmd"

The raw data used in this project can be found in the "raw_data" folder.

The code used to clean the raw data can be found in "clean_data.ipynb"

The cleaned dataset used in this project can be found in "cleaned.csv"

About

Investigating the relationship between revenue and performance in the NBA

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published