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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 .
UpSet plots are a data visualization method for showing set data with more than three intersecting sets. UpSet shows intersections in a matrix, with the rows of the matrix corresponding to the sets, and the columns to the intersections between these sets (or vice versa). The size of the sets and of the intersections are shown as bar charts.
An illustration of a compact set K, a compact neighborhood V of K, and an open set U containing V. Date: 9 August 2007, 01:14 (UTC) Source: self-made with Inkscape based on Image:Venn A subset B.svg: Author: Oleg Alexandrov
English: Venn diagram picturing relationships between elements within self-determination theory of student motivation. As per this is the uploader's own work as the diagram has been developed from the referenced source to to illustrate the three important elements discussed in the article. This image should be corrected to read "based on ...
Diagrama de Venn; Usage on cs.wikipedia.org Vennův diagram; Usage on es.wikipedia.org Diagrama de Venn; Usage on fi.wikipedia.org Venn-diagrammi; Usage on fr.wikipedia.org Diagrammes d'Euler, de Venn et de Carroll; Diagramme de Venn; Usage on hu.wikipedia.org Venn-diagram; Usage on pt.wikipedia.org Diagrama de Venn; Usage on ta.wikipedia.org
Inclusion–exclusion principle. In combinatorics, a branch of mathematics, the inclusion–exclusion principle is a counting technique which generalizes the familiar method of obtaining the number of elements in the union of two finite sets; symbolically expressed as. where A and B are two finite sets and | S | indicates the cardinality of a ...
File:Venn diagram cmyk.svg. Size of this PNG preview of this SVG file: 471 × 450 pixels. Other resolutions: 251 × 240 pixels | 502 × 480 pixels | 804 × 768 pixels | 1,072 × 1,024 pixels | 2,144 × 2,048 pixels. This is a file from the Wikimedia Commons. Information from its description page there is shown below.
The conditional mutual informations , and are represented by the yellow, cyan, and magenta regions, respectively. In probability theory, particularly information theory, the conditional mutual information[1][2] is, in its most basic form, the expected value of the mutual information of two random variables given the value of a third.