Pandora Paper Leaks With TypeDB
•Download as PPTX, PDF•
0 likes•185 views
In this seminar we use TypeDB to open a window on the Pandora Papers, a massive 'data tsunami' based on 11.9 million leaked source documents obtained by the International Consortium of Investigative Journalists (ICIJ). We will use an automated query builder to get an initial set of results, and then hop from node to node, exploring neighbours and mapping out a suspicious-looking network of offshore shell companies, officers and intermediaries. Speaker: Jon Thompson Jon has an MSc in Applied Mathematics and has worked for several years as a Data Scientist in high-throughput biological sequencing. He is the founder of Nodelab, which is on a mission to provide a fully-featured graphical user interface experience for TypeDB.
Recommended
Recommended
More Related Content
What's hot
What's hot (20)
More from Vaticle
More from Vaticle (20)
Recently uploaded
Recently uploaded (20)
Pandora Paper Leaks With TypeDB
- 1. Vaticle seminar 17 February 2022 Jon Thompson, Nodelab ApS Pandora papers with TypeDB
- 2. 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
- 8. Example 1 - Shoreoff Nodelab ApS
- 9. Example 1 - Shoreoff Nodelab ApS
- 10. Example 1 - Shoreoff Nodelab ApS
- 11. Example 1 - Shoreoff Nodelab ApS
- 12. Example 1 - Shoreoff Nodelab ApS
- 13. Example 2 – Harvey Weinstein Nodelab ApS
- 14. Example 3 - Shakira Nodelab ApS
- 15. Nodelab ApS Try it for yourself! https://github.com/typedb-osi/typedb-data-offshoreleaks
- 16. Acknowledgements Nodelab ApS By Plotly wiki 12 - Own work, CC BY-SA 4.0, https://commons.wikimedia.org/w/index.php?curid=57498677
- 17. Get in touch! Nodelab ApS jjt@tutanota.com https://www.linkedin.com/in/jonatanthompson/
Editor's Notes
- What is the presentation about? A new graphical interface to TypeDB Snippet preview of some key features
- 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.
- Next: filter schema links
- Next: data
- Next: data
- 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
- 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
- All that remains is to say thanks To take your questions