Chris Stolte
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.
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- Aiken, A., Chen, J., Stonebraker, M, and Woodruff, A. Tioga-2: A direct manipulation database visualization environment. Proceeding of the 12th International Conference on Data Engineering, February 1996, pp. 208--217. Google Scholar
Digital Library
- Becker, R., Cleveland, W. S., and Douglas Martin, R. Trellis graphics displays: A multi-dimensional data visualization tool for data mining. 3rd Annual Conference on Knowledge Discovery in Databases, August 1997.Google Scholar
- Bertin, J. Graphics and Graphic Information Processing. Walter de Gruyter, Berlin, 1980.Google Scholar
- Bertin, J. Semiology of Graphics. The University of Wisconsin Press, Madison, WI, 1983. Translated by W J. Berg. Google ScholarDigital Library
- Bosch, R., Stolte, C., Stoll, G., Rosenblum, M., and Hanrahan, P. Performance analysis and visualization of parallel systems using SimOS and Rivet: A case study. Proceedings of the Sixth Annual Symposium on High-Performance Computer Architecture, January 2000, pp. 360--371.Google Scholar
- Buja, A., Cook, D., and Swayne, D. F. Interactive high-dimensional data visualization. Journal of Computational and Graphical Statistics, 5(1):7--99,1996.Google Scholar
- Cleveland, W. s. The Elements of Graphing Data. Wadsworth Advanced Books and Software, Pacific Grove, CA, 1985. Google ScholarDigital Library
- Cleveland, W. s. Visualizing Data. Hobart Press, New Jersey, 1993. Google ScholarDigital Library
- Igehy, H., Stoll, G., and Hanrahan, P. The design of a parallel graphics interface. Proceedings of SIGGRAPH, 1998, pp. 141--150. Google ScholarDigital Library
- Kosslyn, S. M. Elements of Graph Design. W.h. Freeman and Co., New York, NY, 1994.Google Scholar
- Livny, M., Ramakrishnan, R., Beyer, K., Chen, G., Donjerkovic, D., Lawande, S., Myllymaki, J., and Wenger, K. Devise: Integrated querying and visual exploration of large datasets. Proceeding of ACM SIGMOD, May, 1997. Google ScholarDigital Library
- Mackinlay, J. D. Automating the design of graphical presentations of relational information. ACM Transaction of Graphics, April 1986, pp. 110--141. Google ScholarDigital Library
- Rogowitz, B. and Treinish, L. How Not to lie with visualization. Computers in Physics, May/June 1996, pp. 268--274. Google ScholarDigital Library
- Roth, S. F., Lucas, P., Senn, J. A., Gomberg, C. C., Burks, M. B., Stroffolino, P. J., Kolojejchick, J., and Dunmire, C. Visage: A user interface environment for exploring information. Proceeding of Information Visualization, october 1996, pp. 3--12. Google ScholarDigital Library
- spotfire Inc. {online} Available: http://www.spotfire.com, cited September 2001.Google Scholar
- Stevens, S. S. on the theory of scales of measurement. Science, 103:677--680.Google ScholarCross Ref
- Stolte, C. Query, analysis, and visualization of multidimensional databases. PhD Dissertation, Stanford University, June 2003. Google ScholarDigital Library
- Thomsen, E. OLAP Solutions: Building Multidimensional Information Systems. Wiley Computer Publishing, New York, 1997. Google ScholarDigital Library
- Travis, D. Effective Color Displays: Theory and Practice. Academic Press, London, 1991.Google Scholar
- Tufte, E. R. The Visual Display of Quantitative Information. Graphics Press, Box 430, Cheshire, CT, 1983. Google ScholarDigital Library
- Ward, M. Xmdv Tool: Integrating multiple methods for visualizing multivariate data. Proceedings of Visualization, October 1994, pp. 326--331. Google ScholarDigital Library
- Wilkinson, L. The Grammar of Graphics. Springer, New York, NY, 1999. Google ScholarDigital Library
Index Terms
- Polaris: a system for query, analysis, and visualization of multidimensional databases
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