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  2. Heat map - Wikipedia

    en.wikipedia.org/wiki/Heat_map

    Heat map generated from DNA microarray data reflecting gene expression values in several conditions A heat map showing the RF coverage of a drone detection system. A heat map (or heatmap) is a 2-dimensional data visualization technique that represents the magnitude of individual values within a dataset as a color.

  3. Data and information visualization - Wikipedia

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

    Data presentation architecture weds the science of numbers, data and statistics in discovering valuable information from data and making it usable, relevant and actionable with the arts of data visualization, communications, organizational psychology and change management in order to provide business intelligence solutions with the data scope ...

  4. Visual variable - Wikipedia

    en.wikipedia.org/wiki/Visual_variable

    A visual variable, in cartographic design, graphic design, and data visualization, is an aspect of a graphical object that can visually differentiate it from other objects, and can be controlled during the design process.

  5. Graph coloring - Wikipedia

    en.wikipedia.org/wiki/Graph_coloring

    An edge coloring with k colors is called a k-edge-coloring and is equivalent to the problem of partitioning the edge set into k matchings. The smallest number of colors needed for an edge coloring of a graph G is the chromatic index, or edge chromatic number, χ ′ (G). A Tait coloring is a 3-edge coloring of a cubic graph.

  6. Glyph (data visualization) - Wikipedia

    en.wikipedia.org/wiki/Glyph_(data_visualization)

    Four-dimensional data visualization, using VisIt: in three-dimensional phase space a fourth scalar variable is visualized by use of coloured glyphs. In the context of data visualization, a glyph is any marker, such as an arrow or similar marking, used to specify part of a visualization. This is a representation to visualize data where the data ...

  7. Infographic - Wikipedia

    en.wikipedia.org/wiki/Infographic

    Therefore, it is crucial to identify the appropriate visualization for the data set and infographic by taking into consideration graphical features such as position, size, shape, and color. There are primarily five types of visualization categories – time-series data, statistical distributions, maps, hierarchies, and networking. [3]

  8. Security visualisation - Wikipedia

    en.wikipedia.org/wiki/Security_visualisation

    Big data mining techniques like Map Reduce help narrow down the search for meaning in vast data. Data visualisation is a data analytics technique, which is used to engage the human brain into finding patterns in data. Recognition and cognition of patterns will also lead to the identification of anomalous patterns.

  9. Domain coloring - Wikipedia

    en.wikipedia.org/wiki/Domain_coloring

    Domain coloring plot of the function f(x) = ⁠ (x 2 − 1)(x − 2 − i) 2 / x 2 + 2 + 2i ⁠, using the structured color function described below.. In complex analysis, domain coloring or a color wheel graph is a technique for visualizing complex functions by assigning a color to each point of the complex plane.