CoCo is a visual analytics tool that enables users to compare two sets of temporal sequence data. It combines automated statistical tests with user-guidance to enable insights, hypothesis generation, and much more. Users see statistics about their dataset, event-level statistics, and a menu of metrics. CoCo displays significance tests in a unified form for measures such as prevalence and duration of gaps.
Demos, papers, and other information about Coco: http://hcil.umd.edu/coco/
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