Hierarchical parallel coordinates for exploration of large datasets
VIS '99 Proceedings of the conference on Visualization '99: celebrating ten years
Information visualization: perception for design
Information visualization: perception for design
Using shape to visualize multivariate data
Proceedings of the 1999 workshop on new paradigms in information visualization and manipulation in conjunction with the eighth ACM internation conference on Information and knowledge management
Visualizing multi-dimensional clusters, trends, and outliers using star coordinates
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Large Datasets at a Glance: Combining Textures and Colors in Scientific Visualization
IEEE Transactions on Visualization and Computer Graphics
VisDB: Database Exploration Using Multidimensional Visualization
IEEE Computer Graphics and Applications
GraphSplatting: Visualizing Graphs as Continuous Fields
IEEE Transactions on Visualization and Computer Graphics
Value and Relation Display for Interactive Exploration of High Dimensional Datasets
INFOVIS '04 Proceedings of the IEEE Symposium on Information Visualization
The Effect of Data-Relatedness in Interactive Glyphs
IV '05 Proceedings of the Ninth International Conference on Information Visualisation
Semiology of graphics
MatchPad: Interactive Glyph-Based Visualization for Real-Time Sports Performance Analysis
Computer Graphics Forum
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When visualizing a set of objects, it can be useful to visualize both the set as a whole and the individual attributes of each member of the set. A user may be interested in whether the set includes objects with specific attribute values, but also care about the distribution of attribute values within the set. The authors use the term depth to refer to the prevalence of particular desired values in the set, and diversity to refer to the distribution of these values across a range. Their approach for visualizing a set of objects uses glyphs overlaid on a composite representation of the entire set to convey objects' depth and the set's diversity. They test and apply this technique to three application domains: analyzing student applicant pools of a particular school or department, building an effective fantasy football team, and analyzing traffic activity on a network.