Interactive Visual Analysis Empower Relation-Discovery
📂 Source code unavailable due to collaboration restrictions.
This interactive visualization tool was developed as part of our Master’s project to help non-expert users explore relationships between attributes in tabular data through interactive binning techniques.
Based on an extensive literature review of visualization methods and relation discovery algorithms, we iteratively refined the design before delivering a tool that allows users to upload CSV files and explore data via intuitive, step-by-step visualizations. The interface guides users through their datasets in an accessible and flexible way.
The application stack includes React for the frontend, Python and FastAPI for the backend, and D3.js for dynamic visual rendering.
My Contributions
- Conducted literature review on interactive visualization design and relation discovery algorithms
- Led frontend and interaction design (UI/UX)
- Authored project report and documentation