Glyphboard: Visual Exploration of High-Dimensional Data Combining Glyphs with Dimensionality Reduction | IEEE Journals & Magazine | IEEE Xplore

Glyphboard: Visual Exploration of High-Dimensional Data Combining Glyphs with Dimensionality Reduction


Abstract:

Rigorous data science is interdisciplinary at its core. In order to make sense of high-dimensional data, data scientists need to enter into a dialogue with domain experts...Show More

Abstract:

Rigorous data science is interdisciplinary at its core. In order to make sense of high-dimensional data, data scientists need to enter into a dialogue with domain experts. We present Glyphboard, a visualization tool that aims to support this dialogue. Glyphboard is a zoomable user interface that combines well-known methods such as dimensionality reduction and glyph-based visualizations in a novel, seamless, and integrated tool. While the dimensionality reduction affords a quick overview over the data, glyph-based visualizations are able to show the most relevant dimensions in the data set at one glance. We contribute an open-source prototype of Glyphboard, a general exchange format for high-dimensional data, and a case study with nine data scientists and domain experts from four exemplary domains in order to evaluate how the different visualization and interaction features of Glyphboard are used.
Published in: IEEE Transactions on Visualization and Computer Graphics ( Volume: 26, Issue: 4, 01 April 2020)
Page(s): 1661 - 1671
Date of Publication: 23 January 2020

ISSN Information:

PubMed ID: 31985425

Funding Agency:


References

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