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A Venn diagram is a widely used diagram style that shows the logical relation between sets, popularized by John Venn (1834–1923) in the 1880s. The diagrams are used to teach elementary set theory, and to illustrate simple set relationships in probability, logic, statistics, linguistics and computer science.
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Inoue classifies ikigai into three directions – social ikigai, non-social ikigai, and anti-social ikigai – from a social perspective. Social ikigai refers to ikigai that are accepted by society through volunteer activities and circle activities. An asocial ikigai is an ikigai that is not directly related to society, such as faith or self ...
You were absolutely correct to remove the graphic, which is a cultural misappropriation of the concept of ikigai by business writers. The Venn diagram is useful (in fact it appeared first in a book I published in 2008, called Finding the Sweet Spot, in slightly different form), but it is not in any way ikigai.
A Venn diagram is a representation of mathematical sets: a mathematical diagram representing sets as circles, with their relationships to each other expressed through their overlapping positions, so that all possible relationships between the sets are shown. [4]
Information diagrams have also been applied to specific problems such as for displaying the information theoretic similarity between sets of ontological terms. [ 3 ] Venn diagram showing additive and subtractive relationships among various information measures associated with correlated variables X and Y .
Inclusion–exclusion illustrated by a Venn diagram for three sets. Generalizing the results of these examples gives the principle of inclusion–exclusion. To find the cardinality of the union of n sets: Include the cardinalities of the sets. Exclude the cardinalities of the pairwise intersections.
Notice the analogy to the union, difference, and intersection of two sets: in this respect, all the formulas given above are apparent from the Venn diagram reported at the beginning of the article. In terms of a communication channel in which the output Y {\displaystyle Y} is a noisy version of the input X {\displaystyle X} , these relations ...