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

Publikation: Beitrag in FachzeitschriftArtikelBegutachtung

25 Zitate (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.
OriginalspracheEnglisch
Aufsatznummer8967136
Seiten (von - bis)1661-1671
Seitenumfang11
FachzeitschriftIEEE Transactions on Visualization and Computer Graphics
Jahrgang26
Ausgabenummer4
DOIs
PublikationsstatusVeröffentlicht - 1 Apr. 2020
Extern publiziertJa

Schlagwörter

  • Data visualization
  • Task analysis
  • Visualization
  • Tools
  • Multivariate data
  • Dimensionality reduction
  • Glyph-based Visualization Techniques

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