Corey Lanum

Many projects I’ve worked on assume that to present business users with a node-link view means transferring all the data to a graph database. Worse still, I’ve seen teams duplicate and synchronize their data into a second database creating new layers of completely unnecessary complexity.

Timelines are one of the most basic forms of data visualization and plotting events on a timeline is usually a straightforward process. But what happens when we have connections in that data?

In this talk Corey will walk through the considerations one needs to take when deriving a graph model from tabular data such as survey data, and show the impact of those decisions in a visualization that he will build in real-time during the talk.

We are all using graphs for a reason - in many cases, it's because the graph model presents an intuitive view of the data. Unfortunately, the most elegant graph data models can often be stymied by bad visualizations that obscure rather than enlighten.