{
  "annotation_id": "ba0cb84c-91be-40c9-beea-c2eccf1927ae",
  "date_created": "2026-02-17T05:53:08.513000Z",
  "date_modified": "2026-02-17T05:53:08.513000Z",
  "file_hash": "e3626b4e02173ea6b78dea79df34d448e2b602fd1c97af169ea80b1d1ede8bd0",
  "private": false,
  "record": {
    "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 (https://pypi.org/project/vennfan/).",
    "arxiv_id": "2601.06980",
    "authors": [
      "B\u00e1lint Csan\u00e1dy"
    ],
    "categories": [
      "cs.GR",
      "cs.CG",
      "cs.HC",
      "math.CO"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "title": "A New Perspective on Drawing Venn Diagrams for Data Visualization",
    "url": "https://arxiv.org/abs/2601.06980",
    "version": "v1"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "6932d399-d7f0-4a55-9431-4ddb423d5b3f",
    "id": "arXiv Dataset",
    "type": "Model",
    "variant": "snapshot-2026-01-17",
    "version": "0.1.0"
  },
  "user_id": 1000002
}