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  2. Data and information visualization - Wikipedia

    en.wikipedia.org/wiki/Data_and_information...

    Data and information visualization (data viz/vis or info viz/vis) [2] is the practice of designing and creating easy-to-communicate and easy-to-understand graphic or visual representations of a large amount [3] of complex quantitative and qualitative data and information with the help of static, dynamic or interactive visual items.

  3. Causal graph - Wikipedia

    en.wikipedia.org/wiki/Causal_graph

    Figure 1: Unidentified model with latent variables (and ) shown explicitly Figure 2: Unidentified model with latent variables summarized. Figure 1 is a causal graph that represents this model specification. Each variable in the model has a corresponding node or vertex in the graph.

  4. Scientific visualization - Wikipedia

    en.wikipedia.org/wiki/Scientific_visualization

    The key difference between scientific visualization and information visualization is that information visualization is often applied to data that is not generated by scientific inquiry. Some examples are graphical representations of data for business, government, news and social media.

  5. Visualization (graphics) - Wikipedia

    en.wikipedia.org/wiki/Visualization_(graphics)

    Data visualization is a related subcategory of visualization dealing with statistical graphics and geospatial data (as in thematic cartography) that is abstracted in schematic form. [7] Information visualization concentrates on the use of computer-supported tools to explore large amount of abstract data.

  6. Graphic communication - Wikipedia

    en.wikipedia.org/wiki/Graphic_communication

    Aristotle discusses representation in 3 ways: [7] The object: The symbol being represented. Manner: The way the symbol is represented. Means: The material that is used to represent it. The means of literary representation is language. The means of graphical representation are graphics. Graphical representation of data is one of the most ...

  7. Conceptual graph - Wikipedia

    en.wikipedia.org/wiki/Conceptual_graph

    Key features of GBKR, the graph-based knowledge representation and reasoning model developed by Chein and Mugnier and the Montpellier group, can be summarized as follows: [3] All kinds of knowledge (ontology, rules, constraints and facts) are labeled graphs, which provide an intuitive and easily understandable means to represent knowledge.

  8. Diagram - Wikipedia

    en.wikipedia.org/wiki/Diagram

    On the other hand, the representation of an object in a diagram may be overly specific and properties that are true in the diagram may not be true for the object the diagram represents. [7]: 48 A diagram may act as a means of cognitive extension allowing reasoning to take place on the diagram based on which constraints are similar. [7]: 50

  9. Visual modeling - Wikipedia

    en.wikipedia.org/wiki/Visual_modeling

    Visual modeling is the graphic representation of objects and systems of interest using graphical languages.Visual modeling is a way for experts and novices to have a common understanding of otherwise complicated ideas.