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

Dietrich Kammer, Mandy Keck, Thomas Gründer, Alexander Maasch, Thomas Thom, Martin Kleinsteuber, Rainer Groh

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

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.
Original languageEnglish
Article number8967136
Pages (from-to)1661-1671
Number of pages11
JournalIEEE Transactions on Visualization and Computer Graphics
Volume26
Issue number4
DOIs
Publication statusPublished - 1 Apr 2020
Externally publishedYes

Keywords

  • Data analytics
  • Empirical studies in interaction design
  • Human-centered computing
  • Visualization systems and tools

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