Readings in information visualization
Parallel bargrams for consumer-based information exploration and choice
Proceedings of the 14th annual ACM symposium on User interface software and technology
The Information Mural: A Technique for Displaying and Navigating Large Information Spaces
IEEE Transactions on Visualization and Computer Graphics
Visual hierarchical dimension reduction for exploration of high dimensional datasets
VISSYM '03 Proceedings of the symposium on Data visualisation 2003
Change Blindness in Information Visualization: A Case Study
INFOVIS '01 Proceedings of the IEEE Symposium on Information Visualization 2001 (INFOVIS'01)
Angular Brushing of Extended Parallel Coordinates
INFOVIS '02 Proceedings of the IEEE Symposium on Information Visualization (InfoVis'02)
PaintingClass: interactive construction, visualization and exploration of decision trees
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Value and Relation Display for Interactive Exploration of High Dimensional Datasets
INFOVIS '04 Proceedings of the IEEE Symposium on Information Visualization
Parallel Sets: Visual Analysis of Categorical Data
INFOVIS '05 Proceedings of the Proceedings of the 2005 IEEE Symposium on Information Visualization
Mapping nominal values to numbers for effective visualization
INFOVIS'03 Proceedings of the Ninth annual IEEE conference on Information visualization
Visualization of large-scale customer satisfaction surveys using a parallel coordinate tree
INFOVIS'03 Proceedings of the Ninth annual IEEE conference on Information visualization
Outlier-Preserving Focus+Context Visualization in Parallel Coordinates
IEEE Transactions on Visualization and Computer Graphics
Visual exploration of categorical and mixed data sets
Proceedings of the ACM SIGKDD Workshop on Visual Analytics and Knowledge Discovery: Integrating Automated Analysis with Interactive Exploration
Visual analysis of mixed data sets using interactive quantification
ACM SIGKDD Explorations Newsletter
Journal of Visual Languages and Computing
Event line view: interactive visual analysis of irregular time-dependent data
SG'10 Proceedings of the 10th international conference on Smart graphics
A visual analysis tool that smoothly switches between tabular forms and parallel coordinates
Proceedings of the 2011 Visual Information Communication - International Symposium
Proceedings of the 3rd BELIV'10 Workshop: BEyond time and errors: novel evaLuation methods for Information Visualization
The product explorer: decision making with ease
Proceedings of the International Working Conference on Advanced Visual Interfaces
Visualizing clusters in parallel coordinates for visual knowledge discovery
PAKDD'12 Proceedings of the 16th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part I
Towards closing the analysis gap: visual generation of decision supporting schemes from raw data
EuroVis'08 Proceedings of the 10th Joint Eurographics / IEEE - VGTC conference on Visualization
Visual clustering in parallel coordinates
EuroVis'08 Proceedings of the 10th Joint Eurographics / IEEE - VGTC conference on Visualization
Splatting the lines in parallel coordinates
EuroVis'09 Proceedings of the 11th Eurographics / IEEE - VGTC conference on Visualization
Aesthetic Expectations for Information Visualization
International Journal of Creative Interfaces and Computer Graphics
Integrating cluster formation and cluster evaluation in interactive visual analysis
Proceedings of the 27th Spring Conference on Computer Graphics
TouchViz: (multi)touching multivariate data
CHI '13 Extended Abstracts on Human Factors in Computing Systems
A Visualization Approach for Cross-level Exploration of Spatiotemporal Data
Proceedings of the 13th International Conference on Knowledge Management and Knowledge Technologies
Representing Multidimensional Cancer Registry Data
Proceedings of the 13th International Conference on Knowledge Management and Knowledge Technologies
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Categorical data dimensions appear in many real-world data sets, but few visualization methods exist that properly deal with them. Parallel Sets are a new method for the visualization and interactive exploration of categorical data that shows data frequencies instead of the individual data points. The method is based on the axis layout of parallel coordinates, with boxes representing the categories and parallelograms between the axes showing the relations between categories. In addition to the visual representation, we designed a rich set of interactions. Parallel Sets allow the user to interactively remap the data to new categorizations and, thus, to consider more data dimensions during exploration and analysis than usually possible. At the same time, a metalevel, semantic representation of the data is built. Common procedures, like building the cross product of two or more dimensions, can be performed automatically, thus complementing the interactive visualization. We demonstrate Parallel Sets by analyzing a large CRM data set, as well as investigating housing data from two US states.