About

This canvas is focused on analyzing and simulating basketball shot data using a synthetic dataset of 100 players with various shot and ball features. It includes generating player-specific shot data with realistic spatial coordinates and simulating shot outcomes using a logistic model calibrated on shot distance. A RandomForest classifier is trained to predict shot success based on modifiable shot features. The canvas visualizes player shot charts and summary statistics, and it provides simulation capabilities to recommend feature adjustments for players to improve shot percentage. Additionally, an API layer is set up to expose player names and perform simulation requests for external use