Friday, October 29, 2021
Cell phones are ubiquitous, and a huge amount of location-based data is generated by apps, advertiser networks, libraries, mobile software and hardware providers, and cell networks. This is a talk about working with location-based data for good: to understand mobility patterns and help improve urban, traffic, and economic planning. PySpark is used to wrangle the large amount of data, sessionize and calculate potential trips, and ingest into different form factors such as graphs to understand mobility patterns. I also discuss data quality engineering and experimentation.
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