Bifocal Parallel Coordinates Plot for Multivariate Data Visualization

Gurminder Kaur, Bijaya B. Karki

Abstract

Visualization of multivariate data using parallel coordinates plot (PCP) becomes overwhelming as the number of dimensions/variables increases beyond one dozen or so. Here we propose bifocal parallel coordinates plot (BPCP) based on the focus + context approach. BPCP splits vertically the overall rendering into the focus and context regions whose sizes can be adjusted to optimize the use of the available space. The focus area maps a few selected dimensions of interest, referred to as priority axes, at sufficiently wide spacing. The remaining dimensions are represented in the context area in a compact way so as to retain useful information and provide the data continuity. The focus display can be further enhanced with various options, such as axes overlays, scatterplot, and nested juxtaposed PCPs. In order to accommodate an arbitrarily large number of dimensions, the context display supports multi-level stacked view, each PCP level mapping a subset of the context axes. With flexible interactivity, BPCP can manage the priority axes and data rendering with respect to the corresponding dimensions to support exploratory visualization while providing useful context on the same visualization display.

References

Download


Paper Citation


in Harvard Style

Kaur G. and Karki B. (2018). Bifocal Parallel Coordinates Plot for Multivariate Data Visualization.In Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: IVAPP, ISBN 978-989-758-289-9, pages 176-183. DOI: 10.5220/0006549901760183


in Bibtex Style

@conference{ivapp18,
author={Gurminder Kaur and Bijaya B. Karki},
title={Bifocal Parallel Coordinates Plot for Multivariate Data Visualization},
booktitle={Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: IVAPP,},
year={2018},
pages={176-183},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006549901760183},
isbn={978-989-758-289-9},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: IVAPP,
TI - Bifocal Parallel Coordinates Plot for Multivariate Data Visualization
SN - 978-989-758-289-9
AU - Kaur G.
AU - Karki B.
PY - 2018
SP - 176
EP - 183
DO - 10.5220/0006549901760183