NBA Team Clustering Mini-Project

(in progress)

Project Motivation

The NBA has seen massive changes to both the association and teams around the league in the past decade.
For example, just to name a few:

1. Association

   • gamestyle
   • fouls favoring shooters
   • players' rights being voiced
   • playoff structure (2-3-2 to 2-2-1-1-1)
   • Travelling Rule w/ Zero Step
   • Reviews

2. League

   • James Harden to Houston
   • Kawhi Leonard to Raptors
   • Lebron James to Lakers
   • Chris Paul to Clippers

With so much going on, franchises are trying their best to bring home the Larry O'Brien trophy by buidling their teams with key personnel.

Which team has the best outlook? What team needs changes to be made and to which categories?

Problem Statement

Team _ has had a losing record for back to back years

1. Data
   Webscraped data of boxscores from the official site of the NBA stats link and season summaries from basketball-reference between the years of 2014-2019 to explore the differences between teams.

2. EDA
   Visualized the data using plotly dashboard

3. Work In Progress
   clustering project?