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Update Script Maintenance Report

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London GVA - is an dataset scraped from LondonData website. Is in two files gva.csv and gva-per-capita.csv it presents London borought with they GVA (Gross Value Added) through 1997-2014 and they va...

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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.

/core/london-gva/
https://datahub.io/core/london-gva/_r/-/README.md
https://datahub.io/core/london-gva/_r/-/UPDATE_SCRIPT_MAINTENANCE_REPORT.md
https://datahub.io/core/london-gva/_r/-/data/gva.csv
https://datahub.io/core/london-gva/_r/-/datapackage.json
https://datahub.io/core/london-gva/_r/-/london-gva.py
Key Files

Start with these files — they give you everything you need to understand and access the dataset.

datapackage.json— metadata & schema
https://datahub.io/core/london-gva/_r/-/datapackage.json
README.md— documentation
https://datahub.io/core/london-gva/_r/-/README.md
Typical Usage
  1. 1. Fetch datapackage.json to inspect schema and resources
  2. 2. Download data resources listed in datapackage.json
  3. 3. Read README.md for full context

Data Previews

gva

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Schema

nametypeformat
NUTS levelstringdefault
NUTS codestringdefault
Region namestringdefault
Yearanydefault
Valueanydefault

Data Files

FileDescriptionSizeLast modifiedDownload
gva
33.8 kB3 months ago
gva
FilesSizeFormatCreatedUpdatedLicenseSource
133.8 kBcsvabout 2 months ago
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Update Script Maintenance Report

Date: 2026-03-04

  • Re-ran london-gva.py to verify the pipeline still executes and reproduces current published output.
  • Fixed Python string comparison warning in filter_gva (!= instead of identity comparison).
  • Added first GitHub Actions automation workflow at .github/workflows/actions.yml with:
    • monthly schedule,
    • manual workflow_dispatch,
    • contents: write permissions,
    • commit-if-changed behavior for data/gva.csv and datapackage.json.
  • Current upstream London Datastore source remains capped at 1997-2014 in NUTS geography; a substantive freshness upgrade requires migration to newer ONS ITL-based releases.