Burger Charts

Abstract

We present Burger Charts, a quantitative display of set intersections that stacks the contributing sets on top of each other. Sets are represented as horizontal layers. The size of each set intersection is encoded by the width of its layer section, forming a vertically stacked, burger-like visual representation.

A visual skewer maintains the unity of the burger by bridging gaps of set layers that do not contribute to the intersection. Color coding emphasizes which set contributes to each intersection. We use Burger Charts to visualize and analyze keyword co-occurrences from an argument search engine. The charts support quantitative discourse analysis by revealing the distribution of keyword sets and their co-occurrences. Users can explore keywords in online discourses about controversial topics, identify prevalent keyword combinations, and uncover overlooked perspectives.

Publication

P. Riehmann, D. Kiesel, J. König, and B. Froehlich. Burger Charts: A Quantitative Display of Set Intersections Short Paper to be presented at EuroVis 2025. Preprint, Video