A New Perspective on Drawing Venn Diagrams for Data Visualization

Computer Science > Graphics arXiv:2601.06980 (cs) [Submitted on 11 Jan 2026] Title:A New Perspective on Drawing Venn Diagrams for Data Visualization Authors:Bálint Csanády View a PDF of the paper titled A New Perspective on Drawing Venn Diagrams for Data Visualization, by B\'alint Csan\'ady View PDF HTML (experimental) Abstract:We introduce VennFan, a method for generating $n$-set Venn diagrams based on the polar coordinate projection of trigonometric boundaries, resulting in Venn diagrams that resemble a set of fan blades. Unlike most classical constructions, our method emphasizes readability and customizability by using shaped sinusoids and amplitude scaling. We describe both sine- and cosine-based variants of VennFan and propose an automatic label placement heuristic tailored to these fan-like layouts. VennFan is available as a Python package (this https URL). Comments: 15 pages, 19 figures Subjects: Graphics (cs.GR); Computational Geometry (cs.CG); Human-Computer Interaction (cs.HC); Combinatorics (math.CO) MSC classes: 68U05, 05C62 ACM classes: I.3.3; I.3.5; I.3.6 Cite as: arXiv:2601.06980 [cs.GR] (or arXiv:2601.06980v1 [cs.GR] for this version) https://doi.org/10.48550/arXiv.2601.06980 Focus to learn more arXiv-issued DOI via DataCite Submission history From: Bálint Csanády [view email] [v1] Sun, 11 Jan 2026 16:31:41 UTC (12,756 KB) Full-text links: Access Paper: View a PDF of the paper titled A New Perspective on Drawing Venn Diagrams for Data Visualization, by B\'alint Csan\'adyView PDFHTML (experimental)TeX Source view license Current browse context: cs.GR < prev | next > new | recent | 2026-01 Change to browse by: cs cs.CG cs.HC math math.CO References & Citations NASA ADSGoogle Scholar Semantic Scholar export BibTeX citation Loading... BibTeX formatted citation × loading... Data provided by: Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer (What is the Explorer?) Connected Papers Toggle Connected Papers (What is Connected Papers?) Litmaps Toggle Litmaps (What is Litmaps?) scite.ai Toggle scite Smart Citations (What are Smart Citations?) Code, Data, Media Code, Data and Media Associated with this Article alphaXiv Toggle alphaXiv (What is alphaXiv?) Links to Code Toggle CatalyzeX Code Finder for Papers (What is CatalyzeX?) DagsHub Toggle DagsHub (What is DagsHub?) GotitPub Toggle Gotit.pub (What is GotitPub?) Huggingface Toggle Hugging Face (What is Huggingface?) ScienceCast Toggle ScienceCast (What is ScienceCast?) Demos Demos Replicate Toggle Replicate (What is Replicate?) Spaces Toggle Hugging Face Spaces (What is Spaces?) Spaces Toggle TXYZ.AI (What is TXYZ.AI?) Related Papers Recommenders and Search Tools Link to Influence Flower Influence Flower (What are Influence Flowers?) Core recommender toggle CORE Recommender (What is CORE?) Author Venue Institution Topic About arXivLabs arXivLabs: experimental projects with community collaborators arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs. Which authors of this paper are endorsers? | Disable MathJax (What is…

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