Interactivity in data visualization has happily become a more common, essential part of exploratory data analysis and statistical discovery. In this episode of Statistically Speaking, Xan Gregg, Distinguished Engineering Fellow and data visualization expert at JMP, demonstrates and categorizes more than a dozen different ways interactivity hastens insight.
In addition to showcasing several intuitive implementations of interactive data visualization methods, Xan also shows how well these methods perform on large and varied data. Speed is important in the exploratory phase of data analysis — much data needs to be explored — but only some visual findings may be key in informing your next step in the analysis workflow.
Knowing more about these methods and how they can be combined to gain even more insight can speed your time to discovery and capitalize on amazing visual bandwidth. See for yourself and watch the on-demand episode.
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