Glyph Sorting: Interactive Visualization for Multi-dimensional Data

TL;DR

This paper introduces an interactive glyph sorting framework that enhances multivariate data analysis by enabling intuitive, high-dimensional sorting and comparison, demonstrated through a rugby match analysis case study.

Contribution

It presents a novel glyph-based visualization framework with design principles for effective, visually sortable glyphs supporting multi-dimensional data analysis.

Findings

Improved ability to compare multiple attributes visually.

Enhanced data trend analysis in high-dimensional datasets.

Discovery of new insights in rugby match analysis.

Abstract

Glyph-based visualization is an effective tool for depicting multivariate information. Since sorting is one of the most common analytical tasks performed on individual attributes of a multi-dimensional data set, this motivates the hypothesis that introducing glyph sorting would significantly enhance the usability of glyph-based visualization. In this paper, we present a glyph-based conceptual framework as part of a visualization process for interactive sorting of multivariate data. We examine several technical aspects of glyph sorting and provide design principles for developing effective, visually sortable glyphs. Glyphs that are visually sortable provide two key benefits: 1) performing comparative analysis of multiple attributes between glyphs and 2) to support multi-dimensional visual search. We describe a system that incorporates focus and context glyphs to control sorting in a visually intuitive manner and for viewing sorted results in an Interactive, Multi-dimensional Glyph (IMG) plot that enables users to perform high-dimensional sorting, analyse and examine data trends in detail. To demonstrate the usability of glyph sorting, we present a case study in rugby event analysis for comparing and analysing trends within matches. This work is undertaken in conjunction with a national rugby team. From using glyph sorting, analysts have reported the discovery of new insight beyond traditional match analysis.