What might replicable data pipeline from #Wikidata #KG Query to Data Frame to Network Visualisation of owners of artworks passing through a specific network look like?
— Open Art Data | @openartdata.bsky.social (@OpenLinkArtData) August 21, 2024
Perls Family Network-Red
Links to other owners-Blue
Jupyter Notebook in Google CoLabs
👉https://t.co/2oyU0kmuqi pic.twitter.com/UdQhY8ZKVp
What might replicable data pipeline from #Wikidata #KG Query to Data Frame to Network Visualisation of owners of artworks passing through a specific network look like?
In the example below, we look at 27 artworks that passed through one of the members of the Perls art dealing dynasty or one of their companies.
The starting point is a Wikdata Query to retrieve the artworks known to have been owned by one of the Perls family, as well as the other known owners of the same artworks.
The information is retrieved from Wikidata, loaded into a Data Frame, then visualised with MatPlotLib.
The code is saved in a Jupyter Notebook and Shared publicly via Google Colab.
Anyone with a Google Account should be able to run the code simply by clicking on the arrows to the left of each code cell.
Try it and let me know if it works.
https://colab.research.google.com/drive/1f7V2SMzxkCmt2lbCS3l4ulotqUGghNAm#scrollTo=0sPcg-gWZOo3
Perls Family Network-Red