MoneyBall R: Strategic Player Replacement Analysis

• Tech Stack: R Programming, Data Visualization, Statistical Modeling
• Github URL: Project Link

This project analyzed historical player data to identify potential replacements for key players lost during the 2001–02 off-season for the Oakland softball/rugby team. The analysis aimed to support strategic decisions by applying data-driven insights.

Used R Programming for in-depth data cleaning, visualization, and statistical modeling, highlighting valuable player attributes that align with the team's needs and budget constraints.

Conducted exploratory data analysis to understand player performance metrics and applied predictive analytics to compare potential replacements, ensuring the team could maintain competitive performance.

This project showcases how analytical tools and strategic data applications can revolutionize team-building approaches in sports management.