document: Query , analysis , and visualization of hierarchically structured data using Polaris In the last several years , large OLAP databases have become common in a variety of applications such as corporate data warehouses and scientific computing . To support interactive analysis , many of these databases are augmented with hierarchical structures that provide meaningful levels of abstraction that can be leveraged by both the computer and analyst . This hierarchical structure generates many challenges and opportunities in the design of systems for the query , analysis , and visualization of these databases . In this paper , we present an interactive visual exploration tool that facilitates exploratory analysis of data warehouses with rich hierarchical structure , such as might be stored in data cubes . We base this tool on Polaris , a system for rapidly constructing table-based graphical displays of multidimensional databases . Polaris builds visualizations using an algebraic formalism derived from the interface and interpreted as a set of queries to a database . We extend the user interface , algebraic formalism , and generation of data queries in Polaris to expose and take advantage of hierarchical structure . In the resulting system , analysts can navigate through the hierarchical projections of a database , rapidly and incrementally generating visualizations for each projection .
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