nba-visualization
Here are 75 public repositories matching this topic...
Interactive exploration of NBA roster turnover
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Sep 4, 2024 - Python
Discord Bot with information about the NBA!
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Jun 2, 2024 - Python
A PyMySQL-based console app designed to provide insightful statistics and graphs based on data fetched from the NBA.com APIs.
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Apr 29, 2024 - Python
Explore the performance of NBA All-Stars in the 2022 draft through an interactive analysis of their shooting efficiency across different court zones!
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Mar 7, 2024 - Svelte
Statistical analysis exploring the evolution of playstyle in the NBA from 2000-2019.
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Jan 5, 2024 - Jupyter Notebook
Project folder for all my Jupyter Notebooks and NBA data.
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Dec 15, 2023 - Jupyter Notebook
NBA database in C#
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Oct 29, 2023 - HTML
Collecting and visualizing data of the NBA champion teams from 1960 to 2023
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Aug 19, 2023 - Jupyter Notebook
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Aug 5, 2023 - R
NBA Player HUD RShiny Application
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Apr 30, 2023 - R
All plays recorded by the NBA throughout the 1,230 games of the 2022-2023 regular season.
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Apr 18, 2023 - Python
This project was conducted for the purpose of enhancing my skills with Python web scraping and data visualization through Tableau. The data used in this project is pulled directly from the NBA API and currently consists of games played through March 26, 2023.
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Mar 27, 2023 - Jupyter Notebook
A comparison between the 2008-09 and 2018-19 NBA season comparing shot locations for individual players and leaguewide.
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Mar 11, 2023 - Jupyter Notebook
Web application to see latest NBA news and stats
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Feb 24, 2023 - JavaScript
Quantifying NBA player interactions
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Jan 11, 2023 - Python
3D visualization of basketball shots using plotly and NBA shot chart data
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Jan 7, 2023 - Python
Headshot plots of shooting stats from the Lakers' '21-'22 season
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Jan 4, 2023 - Jupyter Notebook
本项目综合运用d3、echarts来完成可视化工作,实现了对nba两场比赛的可视化数据分析,包括球员运动轨迹、个人数据、传球次数以及得分位置等多种可交互式图表。通过可视化方法,我们能够进一步深入分析球队的具体情况,便于制定更佳的战术。
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Dec 19, 2022 - JavaScript
NBAShotTracker is a data visualization tool to track player shot performance.
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Dec 11, 2022 - JavaScript
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