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2008

DataMeadow: a visual canvas for analysis of large-scale multivariate data

11 years 1 months ago
DataMeadow: a visual canvas for analysis of large-scale multivariate data
Supporting visual analytics of multiple large-scale multidimensional datasets requires a high degree of interactivity and user control beyond the conventional challenges of visualizing such datasets. We present the DataMeadow, a visual canvas providing rich interaction for constructing visual queries using graphical set representations called DataRoses. A DataRose is essentially a starplot of selected columns in a dataset displayed as multivariate visualizations with dynamic query sliders integrated into each axis. The purpose of the DataMeadow is to allow users to create advanced visual queries by iteratively selecting and filtering into the multidimensional data. Furthermore, the canvas provides a clear history of the analysis that can be annotated to facilitate dissemination of analytical results to outsiders. Towards this end, the DataMeadow has a direct manipulation interface for selection, filtering, and creation of sets, subsets, and data dependencies using both simple and comp...
Niklas Elmqvist, John T. Stasko, Philippas Tsigas
Added 12 Dec 2010
Updated 12 Dec 2010
Type Journal
Year 2008
Where IVS
Authors Niklas Elmqvist, John T. Stasko, Philippas Tsigas
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