PROJECT
NBA Player Performance Analysis
An applied statistics project examining factors associated with NBA scoring performance using R, exploratory data analysis, visualization, and multiple linear regression.
OVERVIEW
Project overview
This project analyzes factors associated with NBA player scoring performance. The analysis examines playing time, shooting efficiency, player position, and offensive involvement in relation to points per game.
The project uses exploratory data analysis and multiple linear regression to investigate relationships among player statistics.
ANALYSIS
What I explored
- Data cleaning and preparation
- Exploratory data analysis
- Descriptive statistics
- Visualization of player performance
- Correlation analysis
- Multiple linear regression
- Model diagnostics
CURRENT VERSION
What this project demonstrates
This project demonstrates my ability to move from raw player-level data through data cleaning, exploratory analysis, visualization, statistical modeling, and interpretation using R.
I plan to revisit this analysis as my statistical training develops, particularly by strengthening the modeling strategy, diagnostics, interpretation, and presentation of results.
NEXT VERSION
Future improvements
I plan to redo this project within the next year with a more developed statistical approach, stronger diagnostics, improved visualizations, and additional modeling techniques.