Metamock#

PyPI Status Python Version License

Documentation Tests

pre-commit Black Ruff Poetry

Features#

  • Generate synthetic data from a Datadoc metadata document.

  • Column data types will correspond with those specified in the metadata.

  • Where Statistics Norway’s classification system Klass is referenced, data will be generated from the codes.

  • Choose the output file format from json, csv or parquet.

  • Placeholder data is used where nothing more specific can be found in the metadata.

Example#

metamock --datadoc-document tests/data/person_data_v1__DOC.json --output-path ~/metamock/output --output-filename datadoc_example --file-type csv

csvlook --delimiter ";" --max-columns 10 --max-rows 2 ~/metamock/output/datadoc_example.csv

| a | pers_id        |  tidspunkt | sivilstand | alm_inntekt | ... |
| - | -------------- | ---------- | ---------- | ----------- | --- |
| 0 | et             | 1977-08-22 | fugiat     |         696 | ... |
| 1 | nam            | 1986-08-05 | cum        |         692 | ... |
| 2 | exercitationem | 2000-06-17 | illum      |         476 | ... |
| 3 | dignissimos    | 1985-12-12 | ab         |         642 | ... |
| 4 | ipsa           | 2023-02-04 | nihil      |         189 | ... |
| ... | ...            |        ... | ...        |         ... | ... |

Installation#

You can install Metamock via pipx:

pipx install ssb-metamock

Usage#

Please see the [Reference Guide] for details.

Contributing#

Contributions are very welcome. To learn more, see the Contributor Guide.

License#

Distributed under the terms of the MIT license, Metamock is free and open source software.

Issues#

If you encounter any problems, please file an issue along with a detailed description.

Credits#

This project was generated from Statistics Norway’s SSB PyPI Template.