![]() Most of these tools represent up to three sets, and keep the regions approximately proportional to the number of elements (e. ![]() Multiple tools exist for the automatic creation of Euler diagrams, reflecting the extensive use of this representation in research. For this reason, making the area of each region proportional to the number of elements it contains is particularly useful. Similarities in the response to those conditions will be immediate apparent as intersections containing a larger-than-expected number of elements. In the field of bioinformatics, sets can for instance contain genes that are differentially expressed in multiple conditions. ![]() Venn diagrams are similar to Euler representations, but they show all the possible intersections between sets, even if they do not exist in the input. Venn and Euler diagrams are a popular tool for this purpose, as they represent in a single figure all the relevant overlaps between sets. Ideally, the aim of this analysis is to find the most important relationships between datasets at a glance ( Lex et al., 2014). A recurrent task in data mining is set visualization ( Alsallakh et al., 2016).
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