3 Day Data Science Challenge: A visualization of passing scenarios to maximize assists.

March 2020

Background

People always make heat maps, shot charts, and such for basketball shots made. But no one really makes them for the other things that are just as important... like passing!

This was a challenge given to me by a professional organization to be done in 3 days.

Out of respect, I have removed any information that may relate to the team. I seek to find the relationship between location, passing distance, and assists to present information to let [TEAM] be more aware of their passing behaviors relative to the rest of the league. This was a really fun challenge because it pushed me to create something completely new, learn the tools needed to do so, and conduct meaningful analyses all within the span of three days.

See The Project

View the Interactive Visualizations:

Len Huang | Pass Analysis

Read the Paper: Click here to view in browser

https://s3-us-west-2.amazonaws.com/secure.notion-static.com/d135055d-856d-4da2-ad8c-32b7ef8fa2d0/Huang_Len_Passing_Report.pdf

Skills Used

Thanks for reading!

Curious? Reach out to me at [email protected] and let's chat.

Go back to view more projects! 👇👇👇 Or return to main site.