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2007
Springer

Hierarchy-driven Visual Exploration of Multidimensional Data Cubes

10 years 6 months ago
Hierarchy-driven Visual Exploration of Multidimensional Data Cubes
: Analysts interact with OLAP data in a predominantly “drill-down” fashion, i.e. gradually descending from a coarsely grained overview towards the desired level of detail. Analysis tools enable visual exploration as a sequence of navigation steps in the data cubes and their dimensional hierarchies. However, most state-of-the-art solutions are limited either in their capacity to handle complex multidimensional data or in the ability of their visual metaphors to provide an overview+details context. This work proposes an explorative framework for OLAP data based on a simple but powerful approach to analyzing data cubes of virtually arbitrary complexity. The data is queried using an intuitive navigation in which each dimension is represented by its hierarchy schema. Any granularity level can be dragged into the visualization to serve as an disaggregation axis. The results of the iterative exploration are mapped to a specified visualization technique. We favor hierarchical layouts for ...
Svetlana Mansmann, Florian Mansmann, Marc H. Schol
Added 07 Jun 2010
Updated 07 Jun 2010
Type Conference
Year 2007
Where BTW
Authors Svetlana Mansmann, Florian Mansmann, Marc H. Scholl, Daniel A. Keim
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