🏙️ Clustering Analysis of Solitary Death Risk among Single-Person Households in Seoul, Korea

Team Project for 2025 Seoul Data Hub Visualization Competition | Aug 2025

Conducted exploratory data analysis (EDA) using open datasets from the Seoul Open Data Hub, focusing on demographic, housing, and social indicators.
Applied unsupervised clustering methods — including K-Means and DBSCAN — to group districts based on solitary-death risk and identify high-risk urban zones.
Performed correlation analysis between socioeconomic variables (e.g., age, housing type, welfare access) and mortality risk indices.
Proposed policy recommendations to the Seoul Metropolitan Government for mitigating isolation risks among elderly single-person households.
Submitted to the 2025 Seoul Data Hub Visualization Competition, demonstrating the application of data-driven methods for social policy analysis.

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