NBA stats: my course project for SEIS785 "Data Visualization" class at University of St. Thomas.
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Updated
Oct 23, 2013 - Python
NBA stats: my course project for SEIS785 "Data Visualization" class at University of St. Thomas.
Feature requests for the MySportsFeeds Sports Data API.
Create NBA shot charts using data scrapped from stats.nba.com and R package ggplot2.
Stattleship API Ruby client
🏀 🔎 A basketball-reference.com NBA players data scrapper
Analysis of NBA player stats and salaries of the 2016-17 for the 17-18 season
NBA API -> Feature Service
stats.nba.com library 🏀
Repository containing files related to the collection and analysis of NBA draft combine measurement data from Draft Express
Find basketball players with similar shot charts
Visualization and analysis of NBA player tracking data
Get NBA Stats (players, games and teams) on your CLI with NodeJS
2017 Example NBA basketball website using nba_py for people to learn how to use NBA Stats Python API.
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