Workflow
A structured workflow from data collection to interactive visualization.
Data Source
Data is collected from the Seoul Open Data Portal, including housing transactions and district-level amenity indicators.
Data Processing
Datasets are cleaned, merged, and transformed using Python. Scripts are developed in VS Code with Codex support.
AI-Assisted Analysis
Initial ideas are written as detailed prompts and refined through AI-assisted discussions to structure analysis and explore variable relationships.
Visualization
Visual outputs are created using Datawrapper, Tableau, Flourish, and Matplotlib, depending on the analysis type.
Web Integration
Final results are integrated into the website using GitHub Pages and Lovable.dev, focusing on clarity and storytelling.
Update Process
Data and visuals can be updated by re-running Python scripts and regenerating charts. Most steps are automated with minor manual adjustments.
Team
