Visualization and analysis of NBA player tracking data
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Updated
Nov 24, 2017 - Python
Visualization and analysis of NBA player tracking data
Interactive exploration of NBA roster turnover
Analysis of NBA player stats and salaries of the 2016-17 for the 17-18 season
Find basketball players with similar shot charts
A NBA player data explorer web app in Python using the Streamlit library
3D visualization of basketball shots using plotly and NBA shot chart data
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This is a python program that uses selenium to web scrape stats from https://www.basketball-reference.com and then displays a graph of an NBA player's career averages using Matplotlib.
Python Tkinter Graphical User Interface to generate heat-maps of current NBA player shooting trends.
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A PyMySQL-based console app designed to provide insightful statistics and graphs based on data fetched from the NBA.com APIs.
Personal research project to work with NBA data, by preparing, filtering, adding metrics of interest and visualizing the top performers of the season
Quantifying NBA player interactions
Answers to the questions we've all been wondering.
All plays recorded by the NBA throughout the 1,230 games of the 2022-2023 regular season.
Discord Bot with information about the NBA!
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