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[[Category:Chart, diagram and graph templates]] to the <includeonly> section at the bottom of that page. Otherwise, add <noinclude>[[Category:Chart, diagram and graph templates]]</noinclude> to the end of the template code, making sure it starts on the same line as the code's last character.
|color-#= The template can take a color input for each do that is color-dot number (The default color is red) (overrides color-even and color-odd) |legend-color= This template can take a legend input to add to the legend. |x labels= The labels to show along the x axis separated by commas (,) (label1,label2,label3)
Coxeter–Dynkin diagrams for the fundamental finite Coxeter groups Coxeter–Dynkin diagrams for the fundamental affine Coxeter groups. In geometry, a Coxeter–Dynkin diagram (or Coxeter diagram, Coxeter graph) is a graph with numerically labeled edges (called branches) representing a Coxeter group or sometimes a uniform polytope or uniform tiling constructed from the group.
In the mathematical discipline of graph theory, a graph labeling is the assignment of labels, traditionally represented by integers, to edges and/or vertices of a graph. [ 1 ] Formally, given a graph G = ( V , E ) , a vertex labeling is a function of V to a set of labels; a graph with such a function defined is called a vertex-labeled graph .
A graph or chart or diagram is a diagrammatical illustration of a set of data. If the graph is uploaded as an image file, it can be placed within articles just like any other image. Graphs must be accurate and convey information efficiently. They should be viewable at different computer screen resolutions.
Org-mode can work with DOT source code blocks. [10] PlantUML uses Graphviz to generate UML diagrams from text descriptions. Puppet can produce DOT resource graphs that can be viewed with Graphviz. Scribus is an open-source DTP program that can use Graphviz to render graphs by using its internal editor in a special frame type called render frame ...
A dot chart or dot plot is a statistical chart consisting of data points plotted on a fairly simple scale, typically using filled in circles. There are two common, yet very different, versions of the dot chart. The first has been used in hand-drawn (pre-computer era) graphs to depict distributions going back to 1884. [1]
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