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Statistics about the Opendata.ch association
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data/opendatach19
LICENSE.md
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README.md
update.py

README.md

Statistics about the Opendata.ch association, compiled into Data Packages using simple data formats such as CSV, JSON and GeoJSON. Relevant files are added to the data folder. If you are looking for open datasets in general, visit our website, opendata.swiss, datahub.io or github/datasets.

A description of the currently published packages follows below.

#opendatach19

goodtables.io DataHub

The data collected here was initially prepared by the Opendata.ch/2019 unconference organisers. The image below is excerpted from the initial analysis of community needs, as described in the blog post. You can also explore this data at DataHub.

Some of the data here was compiled and published as an online spreadsheet (Google Sheets), others come from APIs and other Data Packages. In the update.py you will find a DataFlows script that copies the latest statistics into the data, tests for consistency and prepares a datapackage.json schema.

Usage

To run the scripts locally and update the Data Packages, use these commands:

pip install dataflows
python update.py

For additional background see the documentation at frictionlessdata.io and datahub.io.

License

This repository is made available by its maintainers under the Open Data Commons Public Domain Dedication and License v1.0, a copy of the full text of which is in LICENSE.md.

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