top of page

Open Data Institute's Open Data Challenge

Course: Data Management & Research Life Cycle


Co-collaborators: Danielle Lindo, M. Ed. & Sung Joon Roh, B.S.

An international data analytics competition hosted by Microsoft and the Open Data Institute. Two datasets detailing broadband access were provided: one from Microsoft, and another from BroadbandNow. Our goal was to develop an understanding of the digital divide in Texas' major metropolitan areas, with regards to broadband access in the context of the global pandemic. My group placed among the top five contributors!

​

Our machine learning algorithm (built by Sung Joon Roh) synthesized seven variables to evaluate digital access based on zip code.

  • Yellow dots indicate zip codes with low levels of digital access.

  • Orange dots indicate zip codes with medium levels of digital access

  • Red dots indicate zip codes with high levels of digital access.


I was responsible for all charts and visualizations in our report.

Broadband access provider count, 2019

provider%20count%20pre-covid_edited.jpg

Broadband access provider count, 2020

provider%20count%20during%20covid_edited

See our full report here!

Projects: Projects

Visualizing the Digital Divide in Silicon Valley

Course: Data Storytelling (2020)

A Tableau dashboard examining digital access in three counties in the San Francisco Bay Area that comprise the majority of Silicon Valley's workforce.

Projects: Video

Course: Mapping for the Common Good (2020)

Mapping Broadband Access in Central Texas

Three maps built in ArcGIS Pro visualizing the digital divide in Central Texas

Projects: Services
Central Texas Urban Areas.jpg

Central Texas Urban Areas

bottom of page