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A collaborative project to develop a full-stack data visualization web application, using Python Flask-powered API, HTML/CSS, JavaScript, and SQLite database, which will allow users to interactively explore a dataset.

Python 6.31% Jupyter Notebook 70.82% CSS 4.39% JavaScript 13.29% HTML 5.19%
azure-app-service flask-api javascript python sqlite

nba-dashboard's Introduction

Project 3: NBA Dashboard

Introduction

A collaborative project to develop a full-stack data visualization web application, using Python Flask-powered API, HTML/CSS, JavaScript, and SQLite database, which will allow users to interactively explore a dataset.

The result is a tool that allows users to explosure the historical performance of various NBA teams and gain insights into the players associated with each team.

How to use

To access and utilize our NBA Dashboard, simply follow the link https://nbadashboardproject.azurewebsites.net/

Select a team of interest

Dashboard will update the graphs and information accordingly

Furthermore, links have been provided to retrieve the underlying data yourself.

Sources:

We have gathered the necessary data from scraping the following webpages:

Team Members:

  • Zhao, Jessica
  • Fedorenko, Olena
  • Chen, Xing Ying
  • Benjamin, Colven
  • Nys, Brecht

nba-dashboard's People

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