nba-visualization

There are 75 repositories under nba-visualization topic.

  • NBA-players-shot-spot-hot-zone

    Language:Jupyter Notebook1
  • scthrees

    Language:TypeScript1
  • Projects-and-Analysis

    Language:Jupyter Notebook
  • Predicting2022NBAMVP

    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 Notebook1
  • Predict-NBA-player-Points_End-to-end-Project

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

    Language:Jupyter Notebook1
  • nba-2021-viz

    NBA 2020-21 stats, visualizations and NBA Reddit community posts.

    Language:Jupyter Notebook1
  • NBA_Game_Plots

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

    Language:Python1
  • NBA-Scrolly-Travel-APP

    A simple 'scrollytelling' app showing differences in travel (flight trajectories and mileage) for NBA teams over the last 3 seasons.

    Language:R1
  • nba-age

    Visualizations of players' ages in the NBA

    Language:TypeScript1
  • nba-database

    nba-database

    A PyMySQL-based console app designed to provide insightful statistics and graphs based on data fetched from the NBA.com APIs.

    Language:Python
  • BBALLHQ-DISCORD-BOT

    Discord Bot with information about the NBA!

    Language:Python
  • NBA-Playstyle-Evolution

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

    Language:Jupyter Notebook
  • nba_championship_rings

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

    Language:Jupyter Notebook
  • NBA-Player-HUD

    NBA Player HUD RShiny Application

    Language:R
  • Lakers-Shooting

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

    Language:Jupyter Notebook
  • nbaplays_2022-2023

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

    Language:Python
  • nba-free-agency-dashboard

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

    Language:R
  • sentimentanalysis_lakers

    A Twitter Sentiment Analysis Using R

  • nba_shot_analysis

    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
  • OLYMPIC-DATASET-ANALYSIS

    Dataset Analysis on Sports

    Language:Jupyter Notebook
  • NBA-players-stats-20-21

    Personal research project to work with NBA data, by preparing, filtering, adding metrics of interest and visualizing the top performers of the season

    Language:Python
  • NBA-Hall-of-fame-predictor

    This is the notebook of our final project for CMSC320: Introduction to Data Science. In this project, we explore Hall of Famers in the NBA.

    Language:HTML
  • drawing-shot-paths

    Looking at shot paths over time. Uses d3.js for the charts and canvas for the drawing of the lines.

    Language:JavaScript
  • ball-movements-x-y-canvas

    Sketching basketball movements over time.

    Language:JavaScript
  • basketball_analytics

    This repository includes basketball games' analytics.

    Language:Jupyter Notebook
  • NBA_2020_Predictions

    Carried out predictive analysis on the latest NBA 2020 games data to predict the winners/lossers of the NBA 2020 season. Used linear regression in python to develop a winning equation, matplotlib to develop charts and google api to create heat map.

  • NBA-Stats-Visualizer

    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.

    Language:Python
  • PlayByPlay

    Visualization web app built with Plot.ly and Dash, a framework that uses React.js and Flask, to view NBA statistics in a simple fashion with graphs and charts

    Language:Jupyter Notebook
  • contract-prediction-2020

    predicting contracts for 2020 nba free agents

    Language:R
  • 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
  • nba-factory

    Quantifying NBA player interactions

    Language:Python
  • NBA-data-analysis-2014-2015

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

    Language:SAS
  • NBADataVisualization

    Data visualization of NBA(National Basketball Association)

    Language:HTML
  • NBA-POTW-Visualization

    NBA Player of the Week Visualizations using ggplot

    Language:HTML
  • nba-vis

    Python Tkinter Graphical User Interface to generate heat-maps of current NBA player shooting trends.

    Language:Python
  • nba_dashboard

    NBA Player Statistics Visualization

    Language:Python