Effective Visual Exploration of Variables and Relationships in Parallel Coordinates Layout

Gurminder Kaur, Bijaya B. Karki

2019

Abstract

We present two innovative ways of enhancing parallel coordinates axes to better understand all variables and their interrelationships in high-dimensional datasets. Histogram and circle/ellipse plots based on uniform (linear) and non-uniform frequency/density mappings are adopted to visualize distributions of numerical and categorical data values. These plots are, particularly, helpful in emphasizing data values of low frequencies as well as those with similar frequencies. Color-mapped axis stripes are designed to visually connect numerical variables irrespective of their locations (adjacent or nonadjacent axes) in the parallel coordinates layout so that correlations can be fully realized in the same display. Distribution plots and axis stripes are integrated to further facilitate exploratory analysis of multivariate data with respect to a complete variable set.

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Paper Citation


in Harvard Style

Kaur G. and Karki B. (2019). Effective Visual Exploration of Variables and Relationships in Parallel Coordinates Layout. In Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - Volume 3: IVAPP; ISBN 978-989-758-354-4, SciTePress, pages 241-249. DOI: 10.5220/0007354602410249


in Bibtex Style

@conference{ivapp19,
author={Gurminder Kaur and Bijaya B. Karki},
title={Effective Visual Exploration of Variables and Relationships in Parallel Coordinates Layout},
booktitle={Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - Volume 3: IVAPP},
year={2019},
pages={241-249},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007354602410249},
isbn={978-989-758-354-4},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - Volume 3: IVAPP
TI - Effective Visual Exploration of Variables and Relationships in Parallel Coordinates Layout
SN - 978-989-758-354-4
AU - Kaur G.
AU - Karki B.
PY - 2019
SP - 241
EP - 249
DO - 10.5220/0007354602410249
PB - SciTePress