GitHub topics: nba-visualization

Repositories

BryanDfor3/nba-draft-combine-command-center

This Shiny app compares the anthropometric and athletic measurements of draft prospects across NBA history, and allows for a surface-level evaluation of each participant by measuring each player against the historical averages of their positional peer group. The app also stores and displays historical box score stats from scrimmages at the combine.

Language: R - Size: 2.04 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

nprasad2077/nbaStats

NBA API Documentation

Language: JavaScript - Size: 9.23 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 40 - Forks: 3

nprasad2077/NBA_Go

NBA Statistics API

Language: Go - Size: 1.71 MB - Last synced at: 14 days ago - Pushed at: 14 days ago - Stars: 1 - Forks: 0

JovaniPink/nba-data

Project folder for all my Jupyter Notebooks and NBA data.

Language: Jupyter Notebook - Size: 110 MB - Last synced at: 4 days ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 0

grmreyes/nbasixdegrees

An implementation of six degrees of separation for mutual NBA teammates.

Language: JavaScript - Size: 8.71 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 16 - Forks: 2

varughese/nba-radial-bracket

Visualize the NBA Playoffs

Language: JavaScript - Size: 6.57 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 5 - Forks: 1

josedv82/sportVU_NBA_Tracking

A working workbook looking at physical demands of plays in NBA using SportVU legacy data.

Size: 50.4 MB - Last synced at: about 1 month ago - Pushed at: about 5 years ago - Stars: 7 - Forks: 1

joeyism/nnnba

Analysis of NBA player stats and salaries of the 2016-17 for the 17-18 season

Language: Python - Size: 51.4 MB - Last synced at: 3 months ago - Pushed at: about 8 years ago - Stars: 10 - Forks: 3

verneylmavt/st-nba-vis

A collection of NBA analysis and visualization

Language: Jupyter Notebook - Size: 19 MB - Last synced at: 5 days ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

josedv82/NBA-Game-Density-App

An app to visually explore the density (and other related factors) of the schedule for NBA teams.

Language: R - Size: 2.41 MB - Last synced at: 5 months ago - Pushed at: over 3 years ago - Stars: 8 - Forks: 2

jmahabal/margin-of-victory

Visualizing NBA margins of victory for 2016-2017

Language: Jupyter Notebook - Size: 470 KB - Last synced at: 30 days ago - Pushed at: over 8 years ago - Stars: 3 - Forks: 0

josedv82/EPV_NBA_Dashboard

A conceptual dashboard to visualize Expected Possession Value (EPV) in the NBA.

Language: R - Size: 9.31 MB - Last synced at: 5 months ago - Pushed at: over 4 years ago - Stars: 12 - Forks: 0

AdityaRao127/BBALLHQ-DISCORD-BOT

Discord Bot with information about the NBA!

Language: Python - Size: 42.6 MB - Last synced at: 2 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

sakibbuddy/NBADataVisualization

Data visualization of NBA(National Basketball Association)

Language: HTML - Size: 174 KB - Last synced at: over 1 year ago - Pushed at: almost 6 years ago - Stars: 0 - Forks: 0

m1nce/nba-shots

Explore the performance of NBA All-Stars in the 2022 draft through an interactive analysis of their shooting efficiency across different court zones!

Language: Svelte - Size: 6.6 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

M-MSilva/Predict-NBA-player-Points_End-to-end-Project

End-to-end project to predict basketball player points. (regression problem)

Language: Jupyter Notebook - Size: 9.25 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

christopherjenness/NBA-player-movement

Visualization and analysis of NBA player tracking data

Language: Python - Size: 57.4 MB - Last synced at: over 1 year ago - Pushed at: almost 8 years ago - Stars: 207 - Forks: 33

christopherjenness/Similar-Shooter

Find basketball players with similar shot charts

Language: Python - Size: 22.8 MB - Last synced at: over 1 year ago - Pushed at: almost 8 years ago - Stars: 8 - Forks: 1

abhayk23/NBA-Playstyle-Evolution

Statistical analysis exploring the evolution of playstyle in the NBA from 2000-2019.

Language: Jupyter Notebook - Size: 17 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

alejandropalaciosmartin/NBADatabase-CSharp

NBA database in C#

Language: HTML - Size: 273 MB - Last synced at: 6 months ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 1

arthursweetman/NBA-data-analysis-2014-2015

A half semester-long project I composed during my sophomore year

Language: SAS - Size: 3.18 MB - Last synced at: almost 2 years ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

donaldmyshen/NBA-player-shooting-data-visualization

A Front-End project to show the hot shooting points of NBA players to help analysis.

Language: JavaScript - Size: 1.21 MB - Last synced at: almost 2 years ago - Pushed at: almost 6 years ago - Stars: 4 - Forks: 1

slieb74/NBA-Shot-Analysis

Visualizations to better understand NBA shooting tendencies and efficiency and classification models to predict shot outcomes

Language: Jupyter Notebook - Size: 9.08 MB - Last synced at: almost 2 years ago - Pushed at: almost 7 years ago - Stars: 31 - Forks: 13

Schlon24/NBA_4thQuarter_Analysis

I wanted to find out: Do NBA teams in the regular season only care about defense in the 4th quarter? -->Statistical analysis of 4th quarter in comparison to the first three quarters. The data are from the 2019/2020 NBA season

Language: Jupyter Notebook - Size: 1.2 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

Maiae/NBA-Shot-Charts

Create NBA shot charts using data scrapped from stats.nba.com and R package ggplot2.

Language: R - Size: 14.6 KB - Last synced at: almost 2 years ago - Pushed at: over 8 years ago - Stars: 34 - Forks: 21

thunky-monk/kawhi

stats.nba.com library :basketball:

Language: Haskell - Size: 82 KB - Last synced at: 19 days ago - Pushed at: almost 8 years ago - Stars: 17 - Forks: 1

xieincz/visualization-final-project 📦

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。

Language: JavaScript - Size: 151 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 6 - Forks: 2

revpeter/nba_championship_rings

Collecting and visualizing data of the NBA champion teams from 1960 to 2023

Language: Jupyter Notebook - Size: 1.64 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

sumitrodatta/contract-prediction-2020

predicting contracts for 2020 nba free agents

Language: R - Size: 3.5 MB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0

syvert-h/NBA-Boxscore-Dashboard

Shiny Dashboard tracking the 2022-23 NBA season through the scope of team and player boxscores.

Language: R - Size: 3.63 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

LwrncLiu/basketball-shot-viz-dash-app

3D visualization of basketball shots using plotly and NBA shot chart data

Language: Python - Size: 597 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

naveedgol/NBARotationChart 📦

Displaying team performance against player rotations during NBA games

Language: TypeScript - Size: 1.89 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 15 - Forks: 3

logan-lauton/NBA-Player-HUD

NBA Player HUD RShiny Application

Language: R - Size: 34.6 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

matthew-hoty/nba-player-prop-analysis-shiny

An R Shiny app to help make betting decisions for FanDuel player props

Language: R - Size: 2.52 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 10 - Forks: 2

brendanwilliam/nbaplays_2022-2023

All plays recorded by the NBA throughout the 1,230 games of the 2022-2023 regular season.

Language: Python - Size: 55.2 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

ericrdrew/Lakers-Shooting

Headshot plots of shooting stats from the Lakers' '21-'22 season

Language: Jupyter Notebook - Size: 2.73 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

germannp/NBA_Game_Plots

Twitterbot. Because box scores don't tell the full story 🏀

Language: Python - Size: 332 KB - Last synced at: 9 months ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

wilsonCernWq/NBAstatsVIS

visualization course project

Language: JavaScript - Size: 440 MB - Last synced at: over 2 years ago - Pushed at: almost 8 years ago - Stars: 9 - Forks: 6

kewellcjj/nba-dash

NBA player shot selection dashboard

Language: Python - Size: 2.02 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

ihnguyen/sentimentanalysis_lakers

A Twitter Sentiment Analysis Using R

Size: 517 KB - Last synced at: over 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

QuevedoIB/NBA-stats

Web application to see latest NBA news and stats

Language: JavaScript - Size: 922 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 3

Alvin1359/nba_shot_analysis

A comparison between the 2008-09 and 2018-19 NBA season comparing shot locations for individual players and leaguewide.

Language: Jupyter Notebook - Size: 48.3 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

sumitrodatta/nba-free-agency-dashboard

http://sumitrodatta.shinyapps.io/nba-free-agency-dashboard/

Language: R - Size: 96.6 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

tta13/NBA-Stats-Explorer

A NBA player data explorer web app in Python using the Streamlit library

Language: Python - Size: 74.2 KB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0

arvkevi/nba-roster-turnover

Interactive exploration of NBA roster turnover

Language: Python - Size: 2.01 MB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 13 - Forks: 2

mateuszlesko/NBA_data_gain_-_analysis

NBA scoreboard web scraping using Python's selenium and Bucks 10 first games analysis

Language: Jupyter Notebook - Size: 540 KB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 3 - Forks: 0

ai1138/Predicting2022NBAMVP Fork of MateoC26/DataScienceProject-NBAAwards

Predicting the 2021-2022 NBA MVP voting race using regression models. Used different Data Science tools such as matplotlib,pandas and sklearn to gather and process data along with model building. Juypter Notebook is used to present and provide commentary on the model and the process taken to get prediction data/

Language: Jupyter Notebook - Size: 4.86 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0