This repository contains files from Group 18's Time Series Project (Project 2)
We used Python with Jupyter Notebook. The add on packages we installed are Pandas, Numpy, SKLearn, Seaborn, and Matplotlib. We used Mac as our platform.
Hierarchy of folders and subfolders contained in the Project Folder, and listing the files stored in each folder or subfolder.
Folder | Files |
---|---|
DATA | players.csv, salaries_1985to2018.csv, Data Appendix.pdf |
SCRIPTS | Analysis.ipynb, EDA.ipynb, Master Script.ipynb |
OUTPUT | Average Salary by Position Over Time.png, Average Salary by Position.png, Distribution of Positions in the NBA.png, Distribution of Salary.png, Relationship bewteen Season Year and Salary for Guard Positions.png, Salary Distribution by Position.png |
REFERENCES | References |
- To reproduce this code, go to https://data.world/datadavis/nba-salaries/workspace/intro and download the players.csv and salaries_1985to2018.csv
- Execute cells of code within the Master Script jupyter notebook in order. The master script is the EDA and Analysis script put together.