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https://github.com/tejbirringtm/uk-explr

An ETL pipeline (and REST API web server) implementation that ingests bulk data (such as CSV files from UK censuses) to produce a single stats lookup table with OA (output area) resolution; queryable by OA, LSOA (lower-layer super output area), MSOA (middle-layer super output area), LAD (local area district), or postal code.
https://github.com/tejbirringtm/uk-explr

backend-service data-aggregation data-query demographic-analysis england etl etl-pipeline extract-transform-load geospatial-analysis market-analysis mcp mcp-server model-context-protocol northern-ireland policy-analysis rest-api restful-api scotland united-kingdom wales

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An ETL pipeline (and REST API web server) implementation that ingests bulk data (such as CSV files from UK censuses) to produce a single stats lookup table with OA (output area) resolution; queryable by OA, LSOA (lower-layer super output area), MSOA (middle-layer super output area), LAD (local area district), or postal code.

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# UK Explr

## Overview

UK Explr (alt. `uk-explr`) is a scalable ETL pipeline for UK census data that transforms bulk "raw" data (CSV and JSON files) into a unified statistical lookup table with multi-resolution querying capabilities.

**To get started, see [Usage](USAGE.md) file.**

### Example Deployment

A deployment can be accessed via the URL: https://uk-explr.up.railway.app

(test query: https://uk-explr.up.railway.app/v1/query-result?mode=oa&pageSize=50)

### Key Features

#### Flexible Geospatial Querying

Look up statistics by:

✅ Output Area (OA)
✅ Lower/Middle Layer Super Output Areas (LSOA/MSOA)
✅ Local Authority Districts (LAD)
✅ Postal Codes

#### Integrated Services

🚀 Production-ready REST API for web applications

⚡ MCP (Model Context Protocol) server for system integration — [TO DO](#to-do)

#### Optimised Data Processing

- Efficient handling of large datasets (e.g. UK census data)

- Normalised output structure for consistent analysis

### Use Cases

- Real estate investment

- Policy analysis & demographic research

- Location-based service development

- Academic studies requiring unified datasets

Built with reliability and scalability in mind, this pipeline serves as a robust foundation for applications requiring granular UK geospatial statistics.

## Structure

```text
data/
├─ raw/ # Source data files before processing (CSV, JSON, etc.)
etl-pipeline/ # Scripts for schema generation and data transformation
libs/ # Shared utilities and helper functions (project-wide)
web-api/ # REST API server implementation
├─ controllers/ # Business logic for handling requests/responses
├─ libs/ # API-specific utilities and helpers
├─ middleware/ # Express/HTTP middleware functions
├─ models/ # Data validation schemas (request/response shapes)
├─ services/ # Business logic and external service integrations
├─ types/ # TypeScript interfaces and type definitions
├─ index.ts # web server entry point
node_modules/ # Installed npm dependencies
```

## TO DO

Major features in the current roadmap:

```text
Key:
🔴 — scheduled: very important
🟠 — scheduled: important
🟡 — scheduled
🔘 — backlogged
```

- [ ] Implement MCP (Model Context Protocol) Server for AI integration. 🔴

- [ ] Create schema-derived `.../help` route (e.g. `GET /v1/query-result/help`) as documentation. 🟠

- [ ] Implement HATEOAS (Hypermedia as the Engine of Application State) best practises in RESTful API implementation. 🟠

- [ ] Ingest street names to associate with postal codes. 🟡

- [ ] Ingest point geocoordinates for streets. 🔘

- [ ] Ingest boundary geocoordinates for Output Area (OA), Lower-layer Super Output Area (LSOA), Middle-layer Super Output Area (MSOA), and Local Area District (LAD). 🔘

## Contribution

**Contributions are welcome!**

Feel free to discuss improvements by [opening an issue](https://github.com/TejBirringTM/uk-explr/issues).

Alternatively, feel free to make improvements by [submitting a pull request (PR)](https://github.com/TejBirringTM/uk-explr/pulls).

## License

MIT; please see [LICENSE file](LICENSE.md) for more information.