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Graphviz (short for Graph Visualization Software) is a package of open-source tools initiated by AT&T Labs Research for drawing graphs (as in nodes and edges, not as in bar charts) specified in DOT language scripts having the file name extension "gv". It also provides libraries for software applications to use the tools.
DOT is a graph description language, developed as a part of the Graphviz project. DOT graphs are typically stored as files with the .gv or .dot filename extension — .gv is preferred, to avoid confusion with the .dot extension used by versions of Microsoft Word before 2007.
The Graphviz project includes two command-line tools (gml2gv and gv2gml) that can convert to and from the DOT file format. Wolfram Language , a general very high-level programming language, supports GML import and export .
an example of a non-antialiased PNG scatterplot created by R. The free statistical package R (see R programming language) can make a wide variety of nice-looking graphics. It is especially effective to display statistical data. On Wikimedia Commons, the category Created with R contains many examples, often including the corresponding R source code.
An organizational chart, also called organigram, organogram, or organizational breakdown structure (OBS), is a diagram that shows the structure of an organization and the relationships and relative ranks of its parts and positions/jobs. The term is also used for similar diagrams, for example ones showing the different elements of a field of ...
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A layered drawing of a directed acyclic graph produced by Graphviz. Layered graph drawing or hierarchical graph drawing is a type of graph drawing in which the vertices of a directed graph are drawn in horizontal rows or layers with the edges generally directed downwards.
Graphic representation of a minute fraction of the WWW, demonstrating hyperlinks.. Graph drawing is an area of mathematics and computer science combining methods from geometric graph theory and information visualization to derive two-dimensional depictions of graphs arising from applications such as social network analysis, cartography, linguistics, and bioinformatics.