Create NBA shot charts using data scrapped from stats.nba.com and R package ggplot2.
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Updated
Mar 25, 2017 - R
Create NBA shot charts using data scrapped from stats.nba.com and R package ggplot2.
Visualizing NBA margins of victory for 2016-2017
Analysis of NBA player stats and salaries of the 2016-17 for the 17-18 season
A wrapper site for NNNBA
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visualization course project
Find basketball players with similar shot charts
Visualization and analysis of NBA player tracking data
Visualizations of players' ages in the NBA
对NBA常规赛(2016-2017)中平均得分TOP30的球星的做了热图和雷达图的可视化分析
NBA Shots visualization
Visualizations to better understand NBA shooting tendencies and efficiency and classification models to predict shot outcomes
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The NBA Teams’ Performance Tracking System is a project aims to help users to track the performance of NBA teams from 2000 to 2009.
Answers to the questions we've all been wondering.
Python Tkinter Graphical User Interface to generate heat-maps of current NBA player shooting trends.
Estimating player value based on Win Share and Salary data
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