This talk shows ways of visualising network data at a large and a small scale.
Network structures are everywhere: in social media, telecom, airports, banking, as well as a number of somewhat unusual places: fraudulent tea auctions, examination halls, and works of fiction.
We’ll start with traditional hierarchical and node-link visuals, but a number of new techniques have emerged over the last few years – such as attribute-driven layouts, pivot graphs, grouped means, etc.
You’ll see examples of these applied to real-life datasets, and the stories that these tell.
Anand is a data scientist at Gramener, a data visualisation company.