Visualizing the behavior of higher dimensional dynamical systems
VIS '97 Proceedings of the 8th conference on Visualization '97
Hierarchical parallel coordinates for exploration of large datasets
VIS '99 Proceedings of the conference on Visualization '99: celebrating ten years
Metric 3D structure in visualizations
Information Visualization
Axes-based visualizations with radial layouts
Proceedings of the 2004 ACM symposium on Applied computing
A Parallel Coordinates Style Interface for Exploratory Volume Visualization
IEEE Transactions on Visualization and Computer Graphics
Clutter Reduction in Multi-Dimensional Data Visualization Using Dimension Reordering
INFOVIS '04 Proceedings of the IEEE Symposium on Information Visualization
3-Dimensional Display for Clustered Multi-relational Parallel Coordinates
IV '05 Proceedings of the Ninth International Conference on Information Visualisation
Simple 3D Glyphs for Spatial Multivariate Data
INFOVIS '05 Proceedings of the Proceedings of the 2005 IEEE Symposium on Information Visualization
Revealing Structure within Clustered Parallel Coordinates Displays
INFOVIS '05 Proceedings of the Proceedings of the 2005 IEEE Symposium on Information Visualization
Surface glyphs for efficient visualization of spatial multivariate data
Information Visualization
A Visualization System for Space-Time and Multivariate Patterns (VIS-STAMP)
IEEE Transactions on Visualization and Computer Graphics
Design and Evaluation of Tiled Parallel Coordinate Visualization of Multichannel EEG Data
IEEE Transactions on Visualization and Computer Graphics
Outlier-Preserving Focus+Context Visualization in Parallel Coordinates
IEEE Transactions on Visualization and Computer Graphics
EUROVIS'06 Proceedings of the Eighth Joint Eurographics / IEEE VGTC conference on Visualization
Judging correlation from scatterplots and parallel coordinate plots
Information Visualization
Proceedings of the International Conference on Advanced Visual Interfaces
Involve me and i will understand!: abstract data visualization in immersive environments
ISVC'11 Proceedings of the 7th international conference on Advances in visual computing - Volume Part I
Evaluation of cluster identification performance for different PCP variants
EuroVis'10 Proceedings of the 12th Eurographics / IEEE - VGTC conference on Visualization
Analytical review of data visualization methods in application to big data
Journal of Electrical and Computer Engineering
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This article presents a study that investigates the ability of humans to perceive relationships (patterns) in parallel coordinates, an ability that is crucial to the use of this popular visualization technique. It introduces a visual quality metric, acceptable distortions of patterns, which establishes the level of noise that may be present in data while allowing accurate identification of patterns. This metric was used to assess perceptual performance of standard 2D parallel coordinates and multi-relational 3D parallel coordinates in two experiments. In multirelational 3D parallel coordinates the axes are placed on a circle with a focus axis in the centre, allowing a simultaneous analysis between the focus variable and all other variables. The experiments aimed to determine the maximum number of variables that can be, from a user's point of view, efficiently used in a multi-relational 3D parallel coordinates display and to present a first attempt to study users' ability to analyse noisy data in parallel coordinates. The results show that, in terms of the acceptable level of noise in data, a multirelational 3D parallel coordinates visualization having 11 axes (variables) is as efficient as standard 2D parallel coordinates. Visualizing a larger number of variables would possibly require a greater amount of manipulation of the visualization and thus be less efficient.