Visualizing Intersecting Sets: Information Systems Applications in Academia and Business

Data visualization plays a crucial role in enhancing the communication capabilities of information systems through high-quality visual diagrams. Traditional techniques for depicting set intersections, i.e., Euler and Venn diagrams, offer limited information density and scalability. This paper examines an alternative approach, UpSet, which provides richer informational output and has gained acceptance across various disciplines. Despite its wide adoption, the Information Systems (IS) community has not yet fully recognized UpSet's potential. We introduce UpSet to the IS audience, demonstrating its utility through academic and business examples relevant to IS. Additionally, we discuss its general applicability in research, highlighting how UpSet can significantly improve set-intersecting visualization.

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Publication Details

Journal
Journal of the Association for Information Systems
Published
2025-08-15
Primary Topic
Cell Image Analysis Techniques
Type
article
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article

Visualizing Intersecting Sets: Information Systems Applications in Academia and Business

Journal of the Association for Information Systems
Cell Image Analysis Techniques
article

Visualizing Intersecting Sets: Information Systems Applications in Academia and Business

article en

Abstract

Data visualization plays a crucial role in enhancing the communication capabilities of information systems through high-quality visual diagrams. Traditional techniques for depicting set intersections, i.e., Euler and Venn diagrams, offer limited information density and scalability. This paper examines an alternative approach, UpSet, which provides richer informational output and has gained acceptance across various disciplines. Despite its wide adoption, the Information Systems (IS) community has not yet fully recognized UpSet's potential. We introduce UpSet to the IS audience, demonstrating its utility through academic and business examples relevant to IS. Additionally, we discuss its general applicability in research, highlighting how UpSet can significantly improve set-intersecting visualization.

Journal of the Association for Information Systems
Leibniz University Hannover (DE)
Quality Education
Openalex Percentile: Top 44%
Cell Image Analysis Techniques
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