London underground performance

API Access

Access dataset files directly from scripts, code, or AI agents.

Browse dataset files

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/

├ README.md

https://datahub.io/luccasmmg/london-underground-report/_r/-/README.md

├ UPDATE_SCRIPT_MAINTENANCE_REPORT.md

https://datahub.io/luccasmmg/london-underground-report/_r/-/UPDATE_SCRIPT_MAINTENANCE_REPORT.md

├ data/data/key-trends.csv

https://datahub.io/luccasmmg/london-underground-report/_r/-/data/data/key-trends.csv

├ data/data/lost-customers-hours.csv

https://datahub.io/luccasmmg/london-underground-report/_r/-/data/data/lost-customers-hours.csv

├ data/datapackage.json

https://datahub.io/luccasmmg/london-underground-report/_r/-/data/datapackage.json

└ 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

Loading data...

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	30 days ago	key-trends
lost-customers-hours		4.25 kB	30 days ago	lost-customers-hours

Files	Size	Format	Created	Updated	License	Source
2	19 kB	csv		30 days ago	Open Government Licence v3.0	London Datastore

London underground performance report - this dataset was scraped from LondonData website.

Data

The data is given in two files key-trends, lost-customers-hours. ⚠️⚠️⚠️ Latest Official Updated Data had been 2020 dataset is no longer updated. ⚠️⚠️⚠️

Preparation

You will need Python 3.6 or greater and dataflows library to run the script

To update the data run the process script locally:

# Install dataflows
pip install -r scripts/requirements.txt

# Run the script
python scripts/london_underground.py

Licence

Open goverment licence

You are encouraged to use and re-use the Information that is available under this licence freely and flexibly, with only a few conditions. Using Information under this licence Use of copyright and database right material expressly made available under this licence (the 'Information') indicates your acceptance of the terms and conditions below. The Licensor grants you a worldwide, royalty-free, perpetual, non-exclusive licence to use the Information subject to the conditions below. This licence does not affect your freedom under fair dealing or fair use or any other copyright or database right exceptions and limitations.

You may find further information here