iceecodee/shot_distribution_analysis

Shot_Distribution_Analysis

This repository contains my solution to the following assesment. I have also included a Jupyter notebook that plots thegiven data into a scatter plot. The problem is stated as follows: For the provided shot coordinate and outcome dataset, determine the effective field goal percentage and percentage of team shots attempted (shot distribution) within the following shot zones: Two Point (2PT), Non Corner 3 (NC3) and Corner 3 (C3). The following is an outline of the provided datasets:

1. court_diagram.jpg • An annotated diagram of the official NBA Court. All markers are measured in feet relative to the center of the hoop • For all “Non Corner” 3’s (where Y > 7.8), the 3PT line is 23.75 ft from the center of the hoop • For all “Corner” 3’s (where Y <= 7.8), the 3PT line is 22 feet from the court’s Y-axis at all points (note the definition of “Corner” 3 is not determined by the “break” in the arc)
2. shots_data.csv • team: name of team (Team A, Team B) • x: X-coordinate of the shot, measured in feet • y: Y-coordinate of the shot, measured in feet • fgmade: boolean value indicating the outcome of the shot (0=Miss, 1=Make) Determine the shot zones (2PT, NC3 or C3) and calculate for each team the: • Shot Distribution: the percentage of team shots attempted within a zone • eFG%: the effective field goal percentage of team shots within a zone (note the formula fo eFG = (FGM +(0.5+3PM))/FGA

Deliverables: shot_distribution.py: contains the answers for the problem stated above. My output is below:
basketball_shot_chart.ipynb: contains a scatter plot made using matplotlib that plots the 'x' and 'y' coordinates of missed and made shots respectively. The dimensions were made to the standard of court_diagram and online rescource both of which can be seen below.

My shot charts for Team A and Team B respectively can be seen below: