The Hierarchical Data Explorer (HiDE) software implements an approach to visual analysis in which datasets are explored by reconfiguring hierarchical graphical layouts of the data in the pursuit of research questions. The HiVE language can describe these layouts and can be used to help record the data exploration process and allow these graphics to be shared through blogging infrastructures. We demonstrate this approach of visual analysis using HiDE, give examples how HiDE is being used and reflect on the extent to which HiDE and HiVE facilitates collaborative visual analysis. Categories and Subject Descriptors (according to ACM CCS): Techniques—Interaction technique
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