🚌 Sejong City public bus usage analysis built with Python.
An interactive R Shiny dashboard for visualizing and analyzing urban transit data across multiple cities. Features temporal and spatial analysis, route performance metrics, and efficiency comparisons using synthetic GTFS data.
Human Design AI toolkit for BodyGraph chart calculation, structured readings, career analysis, relationship comparison, timing context, source citations, and LLM skills.
This project analyzes walking-based access to subway entrances, generates 10- and 15-minute walking isochrones, and identifies transit deserts,census tracts where subway access exceeds a realistic walking threshold.
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