On January 15, BuzzFeed released a large dataset of Donald Trump’s connections, including people, organizations and the nature of their relationships.
Courtesy of the US State Department we have access to part of Hillary Clinton’s emails. Using graph visualization we will explore this data, focusing not on the content of the emails but on their metadata. Let’s see what kind of information we can uncover about Hillary Clinton’s professional network. Building a graph of Clinton’s emails with […]
Recently Infogreffe, the organization responsible for keeping track of company information in France, opened access to its data. Anyone can now view key information regarding French companies created in 2014 and 2015. Let’s explore this data with a graph-approach to understand the connections between French companies. Open data about the French companies For years Infogreffe has enjoyed a lucrative monopoly […]
The European Union is giving free access to detailed information about public purchasing contracts. That data describes which European institutions are spending money, for what and who benefits from it. We are going to explore the network of public institutions and suppliers and look for interesting patterns with graph visualization. Public spending in Europe is a €1.3 trillion business […]
The German car manufacturer admitted cheating emissions tests. Which companies are impacted directly or indirectly by these revelations? James Phare from Data To Value used graph analysis and open source information to unravel the impact of the VW scandal on its customers, partners and shareholders. The VW scandal makes headlines Since September 18 when VW […]
Find out how Packt Publishing, a company editing books for developers, used linkurious.js to build one giant Python graph to understand how its content relate to StackOverflow topics. We connected with Greg Robert from Packt Publishing who shared with us how he build a great graph visualization application on top of linkurious.js. Read his story to learn […]