The scope of this repository is to provide a guide for using Denmark Statistics' API using python.
You can find the full guide in this notebook.
The guide also presents a helper class I wrote to more easily access DST's data, DstApi. The class is defined in the python file dstapi.py.
This class is useful to visualize a table's metadata, as in the example below, and to import data from DST directly into pandas.
I hope you'll find this guide useful!
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The read the docs is set up to my GitHub branch, but that can change if the doc files are in the main branch.
I can also understand if you don't want contributors. I just know that I at Finance Denmark got some pressure to use your API, from my Executive Director, and thus some ease of use would be nice :)
Here is the read the docs link
https://dstapi.readthedocs.io/en/latest/
The read the docs is set up to my GitHub branch, but that can change if the doc files are in the main branch.
I can also understand if you don't want contributors. I just know that I at Finance Denmark got some pressure to use your API, from my Executive Director, and thus some ease of use would be nice :)
Here is the read the docs link https://dstapi.readthedocs.io/en/latest/
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