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This repository was archived by the owner on Apr 14, 2026. It is now read-only.

Releases: datasciencecampus/occupationcoder-international

v0.2.0 – Defaulting to ISCO and added reverse lookup

31 Oct 11:49
9a860c4

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Minor update to reflect change to ISCO scheme as default, and added reverse lookup for finding ISCO title from given code (facilitating easier output checks).

Features

  • Added functionality to retrieve matched titles as well as codes.
    • Required rebuilding ISCO JSON from XLSX file: edits to build_dict.py to accomodate.
    • Added utility check_dict.py that can compare key difference between old and new JSONS (development functionality only, not in package).
  • Set ISCO to be default coding scheme throughout.
  • Revised CONTRIBUTING.
  • Revised README.

Fixes

v0.1.0 – First formal release of occupationcoder-international

07 Oct 18:19
d99fed0

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This is the first formal release of occupationcoder-international (v0.1.0).

Features

  • #12: Moved repository to be presented as a formal package: now installable as a Python package as a regular user, directly from the Github repository; or in developer mode by directly cloning the repository.
  • As part of above, main module now renamed oc3i for convenience.

Fixes

  • Fixed issue when coding dataframes with missing values in some columns: #16 .
  • Minor fixes of JSONs versions of ISCO scheme: missing exact titles and code issues: #5 and #10

Notes

  • Users are encouraged to review README.md in full to familiarise with new way of installing and using the codebase.