HAXplorer: Interactive visual exploration of hierarchical item and attribute spaces

Analyzing tabular data by leveraging hierarchical structures for its items and attributes is a promising approach to scale for dataset sizes that make per-item and per-attribute analysis impractical. Existing approaches face limitations in supporting both item and attribute hierarchies, enabling use...

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Bibliographic Details

Published in:	Computers & graphics Vol. 129; p. 104233
Main Authors:	Blum, Michael, Blum, Jonas, Sachdeva, Madhav, Bernard, Jürgen
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.06.2025
Subjects:	Data exploration Hierarchical aggregation Interactive visual data analysis Tabular data Visual analytics Data exploration Hierarchical aggregation Visual analytics Interactive visual data analysis Tabular data
ISSN:	0097-8493
Online Access:	Get full text
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