Create graphs from NBA.com's play by plays
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Updated
Aug 10, 2018 - JavaScript
Create graphs from NBA.com's play by plays
A wrapper API for data.nba.net written in Elixir
Sketching basketball movements over time.
Previsione dei punteggi ottenuti nell'intero campionato NBA 2015/2016, utilizzando la regressione di Poisson che tiene conto della forza offensiva e difensiva delle squadre coinvolte in ogni partita
This is my first data analytics project. I've tried to answer questions: Which NBA player scored the most points, had the least injuries and earned the least. It was fun to see many different ways to illustrate data.
Experimenting with K-means clustering on NBA players from '21-'22 season
Attempts to predict NBA success of NCAA basketball prospects. More info will be added as this project progresses
Models and visualises distance and shot data for the 2021-22 NBA season, allowing users to search for players, teams and positions. Also allows users to weight the models with attempts.
BA Stats is an official platform provided by the National Basketball Association (NBA) that offers a comprehensive collection of statistical data related to NBA games, players, and teams. This resource provides a detailed analysis of player performances, team standings, and game outcomes. Users can explore a wide range of statistics
predicting 2020's Most Improved Player, as well as candidates for next year
With the NBA bubble in Orlando, which teams are being spared the most/least from traveling to opponent arenas?
Project dealing with NBA salaries and contracts, researching the best way to allocate salary. See Final Paper and Presentation, R Shiny App and website below for results.
Analyzing and visualizing the final 8 games of the 2020-2021 NBA season.
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