A New Perspective on Drawing Venn Diagrams for Data Visualization

TL;DR

VennFan is a novel method for creating customizable, fan-shaped n-set Venn diagrams using polar coordinate projections, enhancing readability and label placement, and is available as a Python package.

Contribution

The paper introduces VennFan, a new approach for generating fan-shaped Venn diagrams with improved readability and customization, using trigonometric boundaries and automatic label placement.

Findings

VennFan produces visually distinct fan-shaped diagrams.

The method improves label placement for clarity.

VennFan is accessible as a Python package.

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/).