API Access
Access dataset files directly from scripts, code, or AI agents.
Browse dataset files
API Access
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 Files
Explore with AIkey-trends
| Field | 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 |
Download
Download CSVAbout
- Last updated
- 6 March 2026
- Total rows
- ...
- Format
- CSV
- File size
- 14.8 kB
- Source
- London Datastore
- License
- Open Government Licence v3.0
lost-customers-hours
| Field | 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 |
Download
Download CSVAbout
- Last updated
- 6 March 2026
- Total rows
- ...
- Format
- CSV
- File size
- 4.25 kB
- Source
- London Datastore
- License
- Open Government Licence v3.0
About this dataset
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.