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

14 Zitate (Scopus)


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.
Seiten (von - bis)1661-1671
FachzeitschriftIEEE Transactions on Visualization and Computer Graphics
PublikationsstatusVeröffentlicht - 1 Apr. 2020
Extern publiziertJa


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