EventColumn: Integrating Event Sequences into Tabular Visualizations

📅 2026-05-07
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🤖 AI Summary
This work addresses the challenge of synchronously comparing event sequences with heterogeneous tabular attributes—such as numerical, categorical, and temporal data—in visual analytics. To this end, the authors propose EventColumn, a novel column type that unifies event sequences and diverse attribute types within a single coordinated view, enabling both instance-level and cohort-level joint analysis. Through interactive mechanisms including compact overviews, heatmap-based summaries, event alignment, and boxplots of historically similar items, the approach significantly enhances analytical efficiency. Implemented in Taggle and Microsoft Power BI, the method has been validated on real-world datasets from steel production logistics and public e-commerce domains, demonstrating its effectiveness in structured event data scenarios and substantially improving users’ ability to discern relationships between events and associated attributes.
📝 Abstract
We introduce EventColumn, a new column type that integrates event-sequence data with heterogeneous tabular attributes into a single unified table. EventColumn lets analysts compare event sequences alongside numerical, categorical, and temporal attributes at both instance and group levels, offering a compressed overview, heatmap group summaries, alignment by event types, and boxplots of similar historical items. We developed EventColumn together with collaborators from the steel industry to facilitate the analysis of production events and warehouse logistics, but the solution generalizes to a wide range of event sequence datasets with additional tabular attributes. Unlike most existing approaches that compare either event sequences or tables, EventColumn supports simultaneous comparison of both. We demonstrate its integration with Taggle and Microsoft Power BI on data from steel production logistics and on a public e-commerce dataset.
Problem

Research questions and friction points this paper is trying to address.

event sequences
tabular visualization
heterogeneous attributes
simultaneous comparison
data integration
Innovation

Methods, ideas, or system contributions that make the work stand out.

EventColumn
event sequence visualization
tabular data integration
multivariate comparison
interactive visualization
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