The elements of graphing data
Automating the design of graphical presentations of relational information
ACM Transactions on Graphics (TOG)
The visual display of quantitative information
The visual display of quantitative information
How not to lie with visualization
Computers in Physics
DEVise: integrated querying and visual exploration of large datasets
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
OLAP solutions: building multidimensional information systems
OLAP solutions: building multidimensional information systems
The design of a parallel graphics interface
Proceedings of the 25th annual conference on Computer graphics and interactive techniques
The grammar of graphics
Visualizing Data
Tioga-2: A Direct Manipulation Database Visualization Environment
ICDE '96 Proceedings of the Twelfth International Conference on Data Engineering
Visage: a user interface environment for exploring information
INFOVIS '96 Proceedings of the 1996 IEEE Symposium on Information Visualization (INFOVIS '96)
XmdvTool: integrating multiple methods for visualizing multivariate data
VIS '94 Proceedings of the conference on Visualization '94
Query, analysis, and visualization of multidimensional databases
Query, analysis, and visualization of multidimensional databases
Semiology of graphics
Feasible database querying using a visual end-user approach
Proceedings of the 2nd ACM SIGCHI symposium on Engineering interactive computing systems
Visual links across applications
Proceedings of Graphics Interface 2010
Visualization of multi-domain ranked data
Search computing
An analytic data engine for visualization in tableau
Proceedings of the 2011 ACM SIGMOD International Conference on Management of data
On studying a 3D user interface for OLAP
Data Mining and Knowledge Discovery
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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.