Data visualization of NBA(National Basketball Association)
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Updated
Sep 27, 2019 - HTML
Data visualization of NBA(National Basketball Association)
NBA Player of the Week Visualizations using ggplot
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
Python Tkinter Graphical User Interface to generate heat-maps of current NBA player shooting trends.
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.
A comparison between the 2008-09 and 2018-19 NBA season comparing shot locations for individual players and leaguewide.
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.
Dataset Analysis on Sports
NBA Player HUD RShiny Application
A PyMySQL-based console app designed to provide insightful statistics and graphs based on data fetched from the NBA.com APIs.
NBA Player Statistics Visualization
predicting contracts for 2020 nba free agents
A Twitter Sentiment Analysis Using R
Lite bball reference in shiny
Personal research project to work with NBA data, by preparing, filtering, adding metrics of interest and visualizing the top performers of the season
Headshot plots of shooting stats from the Lakers' '21-'22 season
The NBA Teams’ Performance Tracking System is a project aims to help users to track the performance of NBA teams from 2000 to 2009.
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
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.
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