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Polaris: a system for query, analysis, and visualization of multidimensional databases
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Communications of the ACM archive
Volume 51 ,  Issue 11  (November 2008) table of contents
Remembering Jim Gray
SECTION: Research highlights table of contents
Pages 75-84  
Year of Publication: 2008
ISSN:0001-0782
Authors
Chris Stolte  Tableau Software, Seattle, WA
Diane Tang  Google, Inc., Mountain View, CA
Pat Hanrahan  Stanford University, Stanford, CA
Publisher
ACM  New York, NY, USA
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ABSTRACT

During the last decade, multidimensional databases have become common in the business and scientific worlds. Analysis places significant demands on the interfaces to these databases. It must be possible for analysts to easily and incrementally change both the data and their views of it as they cycle between hypothesis and experimentation.

In this paper, we address these demands by presenting the Polaris formalism, a visual query language for precisely describing a wide range of table-based graphical presentations of data. This language compiles into both the queries and drawing commands necessary to generate the visualization, enabling us to design systems that closely integrate analysis and visualization. Using the Polaris formalism, we have built an interactive interface for exploring multidimensional databases that analysts can use to rapidly and incrementally build an expressive range of views of their data as they engage in a cycle of visual analysis.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Chris Stolte: colleagues
Diane Tang: colleagues
Pat Hanrahan: colleagues