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IEEE Transactions on Visualization and Computer Graphics

Orientation-Enhanced Parallel Coordinate Plots

Renata Georgia Raidou, Martin Eisemann, Marcel Breeuwer, Elmar Eisemann, and Anna Vilanova

The proposed OPCPs (red), applied to the Venus dataset [2]: (a) Visual enhancement of small patterns between the first two dimensions of the data, i.e., small structures obstructed by a strong pattern. - (b) Facilitated identification of distinct patterns between the second and third data dimension. - (c) Improved readability of outliers, i.e., low density information areas, in the representation. - (d) Efficient and accurate selection (blue) of a specific data structure, using the proposed O-Brushing (dark blue line).

Parallel Coordinate Plots (PCPs) is one of the most powerful techniques for the visualization of multivariate data. However, for large datasets, the representation suffers from clutter due to overplotting. In this case, discerning the underlying data information and selecting specific interesting patterns can become difficult. We propose a new and simple technique to improve the display of PCPs by emphasizing the underlying data structure. Our Orientation-enhanced Parallel Coordinate Plots (OPCPs) improve pattern and outlier discernibility by visually enhancing parts of each PCP polyline with respect to its slope. This enhancement also allows us to introduce a novel and efficient selection method, the Orientation-enhanced Brushing (O-Brushing). Our solution is particularly useful when multiple patterns are present or when the view on certain patterns is obstructed by noise. We present the results of our approach with several synthetic and real-world datasets. Finally, we conducted a user evaluation, which verifies the advantages of the OPCPs in terms of discernibility of information in complex data. It also confirms that O-Brushing eases the selection of data patterns in PCPs and reduces the amount of necessary user interactions compared to state-of-the-art brushing techniques.

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Renata Georgia Raidou, Martin Eisemann, Marcel Breeuwer, Elmar Eisemann, and Anna Vilanova, Orientation-Enhanced Parallel Coordinate Plots, IEEE Transactions on Visualization and Computer Graphics, 22, pp. 589–598, 2016.

BibTex

@article{bib:raidou:2016,
    author       = { Raidou, Renata Georgia and Eisemann, Martin and Breeuwer, Marcel and Eisemann, Elmar and Vilanova, Anna },    
    title        = { Orientation-Enhanced Parallel Coordinate Plots },
    journal      = { IEEE Transactions on Visualization and Computer Graphics },
    volume       = { 22 },
    year         = { 2016 },
    pages        = { 589--598 },
    doi          = { 10.1109/TVCG.2015.2467872 },
    dblp         = { journals/tvcg/RaidouEBEV16 },
    url          = { https://publications.graphics.tudelft.nl/papers/265 },
}