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
Toolglass and magic lenses: the see-through interface
SIGGRAPH '93 Proceedings of the 20th annual conference on Computer graphics and interactive techniques
Interactive graphic design using automatic presentation knowledge
CHI '94 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
CHI '94 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
How not to lie with visualization
Computers in Physics
FOCUS: the interactive table for product comparison and selection
Proceedings of the 9th annual ACM symposium on User interface software and technology
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 grammar of graphics
Visualizing Data
Visualizing multi-dimensional data
ACM SIGGRAPH Computer Graphics
Rivet: a flexible environment for computer systems visualization
ACM SIGGRAPH Computer Graphics
Data Cube: A Relational Aggregation Operator Generalizing Group-By, Cross-Tab, and Sub-Total
ICDE '96 Proceedings of the Twelfth International Conference on Data Engineering
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)
Semiology of graphics
Multiple Foci Drill-Down through Tuple and Attribute Aggregation Polyarchies in Tabular Data
INFOVIS '02 Proceedings of the IEEE Symposium on Information Visualization (InfoVis'02)
Visualization, Optimization, and Business Strategy: A Case Study
Proceedings of the 14th IEEE Visualization 2003 (VIS'03)
Browsing large online data tables using generalized query previews
Information Systems
Value-Cell Bar Charts for Visualizing Large Transaction Data Sets
IEEE Transactions on Visualization and Computer Graphics
INFOVIS'03 Proceedings of the Ninth annual IEEE conference on Information visualization
Data-Driven and user-driven multidimensional data visualization
ICWE'11 Proceedings of the 11th international conference on Current Trends in Web Engineering
Visual comparison for information visualization
Information Visualization - Special issue on State of the Field and New Research Directions
DataPlay: interactive tweaking and example-driven correction of graphical database queries
Proceedings of the 25th annual ACM symposium on User interface software and technology
TouchViz: a case study comparing two interfaces for data analytics on tablets
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
ExPlates: spatializing interactive analysis to scaffold visual exploration
EuroVis '13 Proceedings of the 15th Eurographics Conference on Visualization
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In the last several years, large multi-dimensional databases have become common in a variety of applications such as data warehousing and scientific computing. Analysis and exploration tasks place significant demands on the interfaces to these databases. Because of the size of the data sets, dense graphical representations are more effective for exploration than spreadsheets and charts. Furthermore, because of the exploratory nature of the analysis, it must be possible for the analysts to change visualizations rapidly as they pursue a cycle involving first hypothesis and then experimentation.In this paper, we present Polaris, an interface for exploring large multi-dimensional databases that extends the well-known Pivot Table interface. The novel features of Polaris include an interface for constructing visual specifications of table-based graphical displays and the ability to generate a precise set of relational queries from the visual specifications. The visual specifications can be rapidly and incrementally developed, giving the analyst visual feedback as they construct complex queries and visualizations.