Interactive Web Platform for Real-Estate Data Visualization


Role: Project Manager (EDIT Collective)
Period: March–October 2018
Location: Seoul, South Korea
Project Overview:
This project involved developing an interactive web platform that visualizes real-estate and urban spatial data, integrating GIS analysis with market information to support data-informed investment insights.
​
My Contribution:
  • Coordinated front-end designers and developers to guide the platform’s user experience and feature implementation.
  • Conducted GIS-based urban spatial analysis using geographic datasets, regulatory data, and policy information to generate meaningful insights.
  • Supported strategic planning and product development efforts that contributed to attracting      ₩4 billion in angel investment.

Multi-Source Spatial Data Integration Diagram

​A high-level diagram illustrating how diverse datasets (development, environmental, spatial planning, zoning, and social media data) are consolidated into the EdIt. Spatial Intelligence System. This integration enabled automated GIS analysis and real-estate market insights within the web platform.

Dynamic Apartment Unit Visualization

A visualization that computes spatial factors (sunlight, views, surrounding context) and displays unit-level differences through color gradients. Colors update dynamically to show how value varies across the building massing.

​Data Processing Pipeline

A tree-structured data pipeline representing automated extraction, cleaning, and structuring of parcel-level urban information. The system synthesized thousands of records, including zoning codes, floor-area ratios, land prices, and policy constraints, into a unified database for visualization and analysis.

​Interactive Urban Analytics Interface

A web-based interface that allows users to explore and filter unit-level data through parallel-coordinate visualizations, tabular information, and synchronized 3D renderings. Users can adjust spatial variables, such as orientation, sunlight, view, and privacy, and immediately see updated results reflected in both the charts and the building visualization.