Olaf Veerman

@olafveerman.bsky.social

Understanding air quality requires data, tooling, and that people actually know how to understand and use them both. Proud that we were able to support @openaq.org and @developmentseed.org to put modern data tooling to work for mobile air quality datasets.

OpenAQ@openaq.org · 2y ago

Working with large datasets can be challenging. We collaborated with @developmentseed.org to develop new functionality to visualize and analyze large datasets like mobile air quality measurements with Lonboard, an open-source Python library for Jupyter notebooks. openaq.medium.com/exploring-mo...