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? Time-based data often takes the properties of both time series and graph data sets, but the traditional visualizations for each are lacking. Time series visualizations like a stock ticker chart can show how a variable changes over time, but not how data elements are connected to one another. And node-link charts can show relationships but not how they may be changing over time. This talk introduces the new concept of visual timeline analysis, a kind of visualization designed to detangle complex time-based connected data. Corey will share his experience helping organizations harness visual timelines in their applications taking inspiration from the graph world. He’ll show some examples of how a visualization timeline can show connected data over time and how looking at the data this way can produce some really interesting insights.

• Corey Lanum, Chief Product Evangelist at Cambridge Intelligence

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