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Vaticle seminar
17 February 2022
Jon Thompson, Nodelab ApS
Pandora papers
with TypeDB
A ‘tsunami’ of data on the offshore industry
• 803,089 org_entities
• 747,001 officers
• 26,775 intermediaries
• 2,920 others
• 391,069 addresses
• 3,273,525 relations
Nodelab ApS
schema
Nodelab ApS
Entity types
Nodelab ApS
Attribute types
Nodelab ApS
Relation types
Nodelab ApS
data
Nodelab ApS
Example 1 - Shoreoff
Nodelab ApS
Example 1 - Shoreoff
Nodelab ApS
Example 1 - Shoreoff
Nodelab ApS
Example 1 - Shoreoff
Nodelab ApS
Example 1 - Shoreoff
Nodelab ApS
Example 2 – Harvey Weinstein
Nodelab ApS
Example 3 - Shakira
Nodelab ApS
Nodelab ApS
Try it for yourself!
https://github.com/typedb-osi/typedb-data-offshoreleaks
Acknowledgements
Nodelab ApS
By Plotly wiki 12 - Own work, CC BY-SA 4.0, https://commons.wikimedia.org/w/index.php?curid=57498677
Get in touch!
Nodelab ApS
jjt@tutanota.com
https://www.linkedin.com/in/jonatanthompson/

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Pandora Paper Leaks With TypeDB

Editor's Notes

  1. What is the presentation about? A new graphical interface to TypeDB Snippet preview of some key features
  2. The Pandora Papers consist of 11.9 million documents leaked from 14 financial service providers and obtained by the International Consortium of Investigative Journalists (ICIJ). The first stories based on the leaks appeared in print on 3 October 2021, with relevations about the secretive and often questionable financial dealings of heads of state, oligarchs, celebrities, local straw men and the accountants and lawyers providing offshore services. A processed text version of the leaked documents, combined with data from earlier troves of leaks (Offshore Leaks, Bahama Papers, Panama Papers, Paradise Papers), were made available by the ICIJ as a single dataset - the Offshore Leaks - in early December 2021. The text files consist of tables of entities, officers, intermediaries and other types, and pairwise relationships between them. Here, we clean and reformat the tabular data, create a simple schema, and import the whole dataset into TypeDB.
  3. Next: filter schema links
  4. Next: data
  5. Next: data
  6. Thanks to * The Vaticle team and the whole community Plotly for their open source Dash framework, and to all the React and Dash developers In particular Vasco Asturiano, creator of React-force-graph, that powers the visuals
  7. Thanks to * The Vaticle team and the whole community Plotly for their open source Dash framework, and to all the React and Dash developers In particular Vasco Asturiano, creator of React-force-graph, that powers the visuals
  8. All that remains is to say thanks To take your questions