Viz Cancer
LiveStage 2-1Open data on cancer in the Philippines, every figure checked against its publisher before it ships.
- Cancer deaths covered
- 77,504
- Official sources
- 5
- Clean rows
- ~58,000
- Ground-truth checks
- 44,551
- MCP tools
- 8
- React 19
- Three.js
- TypeScript
- Python
- MCP
- Nx
- Vercel
About
An interactive 3D anatomical body map for women and men shades each organ by registered deaths, estimated new cases or survival. A reproducible pipeline builds the data, and a failing check blocks the deploy.
Highlights
- Python pipeline that snapshots five official sources (PSA, IARC GLOBOCAN, peer-reviewed studies) into four clean tables.
- Ground-truth checks against each publisher's own tables; every file is SHA-256 fingerprinted and each chart shows its verification status.
- An MCP server so AI assistants query the same verified data, deployed as a Vercel function beside the site.
1 more
- Accessible 3D viewer: full keyboard control, screen-reader announcements and reduced-motion support.
How it flows
From start to goal, the path the data takes
- 5 official sources
- Fingerprinted snapshots
- 4 clean tables
- 44,551 checks
- Deploy gate
- Site + MCP server

