API AccessAccess dataset files directly from scripts, code, or AI agents.
Browse dataset files
Access dataset files directly from scripts, code, or AI agents.
Dataset Files
Each file has a stable URL (r-link) that you can use directly in scripts, apps, or AI agents. These URLs are permanent and safe to hardcode.
/luccasmmg/london-underground-report/
https://datahub.io/luccasmmg/london-underground-report/_r/-/README.md
https://datahub.io/luccasmmg/london-underground-report/_r/-/UPDATE_SCRIPT_MAINTENANCE_REPORT.md
https://datahub.io/luccasmmg/london-underground-report/_r/-/data/data/key-trends.csv
https://datahub.io/luccasmmg/london-underground-report/_r/-/data/data/lost-customers-hours.csv
https://datahub.io/luccasmmg/london-underground-report/_r/-/data/datapackage.json
https://datahub.io/luccasmmg/london-underground-report/_r/-/datapackage.json
Key Files
Start with these files — they give you everything you need to understand and access the dataset.
data/datapackage.json— metadata & schema
https://datahub.io/luccasmmg/london-underground-report/_r/-/data/datapackage.json
README.md— documentation
https://datahub.io/luccasmmg/london-underground-report/_r/-/README.md
Typical Usage
- 1. Fetch data/datapackage.json to inspect schema and resources
- 2. Download data resources listed in data/datapackage.json
- 3. Read README.md for full context
Data Previews
key-trends
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Schema
| name | type | format |
|---|---|---|
| Period and Financial year | any | default |
| Reporting Period | any | default |
| Days in period | any | default |
| Period ending | any | default |
| Month | any | default |
| Number of Lost Customer Hours | any | default |
| Operated Kms (Peak and Off Peak) | any | default |
| % of Scheduled Operated | any | default |
| Excess Journey Time (mins) | any | default |
lost-customers-hours
Loading data...
Schema
| name | type | format |
|---|---|---|
| Financial Year | string | default |
| Period 1 | number | default |
| Period 2 | number | default |
| Period 3 | number | default |
| Period 4 | number | default |
| Period 5 | number | default |
| Period 6 | number | default |
| Period 7 | number | default |
| Period 8 | number | default |
| Period 9 | number | default |
| Period 10 | number | default |
| Period 11 | number | default |
| Period 12 | number | default |
| Period 13 | any | default |
Data Files
| File | Description | Size | Last modified | Download |
|---|---|---|---|---|
key-trends | 14.8 kB | about 2 months ago | key-trends | |
lost-customers-hours | 4.25 kB | about 2 months ago | lost-customers-hours |
| Files | Size | Format | Created | Updated | License | Source |
|---|---|---|---|---|---|---|
| 2 | 19 kB | csv | about 2 months ago | Open Government Licence v3.0 | London Datastore |
Update Script Maintenance Report
Date: 2026-03-04
- Re-ran
scripts/london_underground.pyand refreshed:data/data/key-trends.csvdata/data/lost-customers-hours.csvdata/datapackage.json
- Updated dependency requirements to avoid legacy openpyxl compatibility issues with modern Python runtimes.
- Added first GitHub Actions workflow at
.github/workflows/actions.ymlwith monthly + manual runs and commit-if-changed automation.