Spatial Demand Analysis for Roblox Education

This project conducted a spatial feasibility analysis for deploying Roblox-based coding academies in Korea. Multiple datasets—including primary survey responses, student population counts, academy registry data, private education participation rates, and regional income levels—were ingested, cleaned, normalized, and merged using Python before being exported for spatial processing. In ArcGIS, these datasets were linked to administrative boundaries, visualized as spatial layers, and integrated through a multi-criteria decision analysis (MCDA) model to generate weighted suitability scores at both national and city scales.