EventColumn: Integrating Event Sequences into Tabular Visualizations
Jakob Zethofer, Andreas Hinterreiter, Lukas Schiefermüller, Belgin Mutlu, Marc Streit
TLDR
EventColumn integrates event sequences into tabular visualizations, enabling simultaneous comparison with other data types.
Key contributions
- Introduces EventColumn, a new column type for integrating event-sequence data into unified tables.
- Enables comparison of event sequences with numerical, categorical, and temporal attributes.
- Offers compressed overviews, heatmap group summaries, event type alignment, and historical boxplots.
- Supports simultaneous comparison of both event sequences and tabular data, unlike existing methods.
Why it matters
EventColumn uniquely integrates event sequences with tabular data, enabling simultaneous comparison and addressing a key limitation of existing tools. It offers a unified view for complex data analysis, providing a generalizable solution to improve efficiency.
Original 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.
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