Visual data representations leverage the power of human perception to process complex information, and through interaction, garner new insights. Our research focuses on visualizing data from a wide variety of domains and fundamentally tackles the question, what makes a visualization effective? We explore novel visual encodings and interaction techniques, multiscale approaches, and even simulation to bridge human and automated analysis of multivariate, time-series, and graph data, ultimately aiding in hypothesis generation, testing, and sense making.
The OrgOrgChart (Organic Organization Chart) project looks at the evolution of a company's structure over time. A snapshot of the Autodesk organizational hierarchy was taken each day between May 2007 and June 2011, a span of 1498 days.
With the Customer Involvement Program (CIP) we have a database of over 60 million commands issued by anonymized users. We start to visualize the product usage by ordering the commands from most-frequently-used to least-frequently-used. The size of the text and length of the bar are proportional to how frequently the command is used.