Carnegie Mellon Developing Tool for Visual Analysis of Large Data Sets

Carnegie Mellon is developing a new tool to easily do visual analysis of large data sets. “Called Explorable Visual Analytics, or EVA, the tool uses a novel computer architecture that enables the analyst to explore raw data through dynamic visualizations with minimal time delay. It’s designed to help users make sense of ‘high-dimensional’ data — that is, data with lots of parameters.” And I mean big data sets: “To refine the design of EVA, the researchers have explored a multidimensional, 100-gigabyte database on the workforce from the U.S. Census Bureau’s Longitudinal Employer-Household Dynamics (LEHD) program.”

%d bloggers like this: