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  2. Google Charts - Wikipedia

    en.wikipedia.org/wiki/Google_Charts

    The Google Charts Release Notes page [2] provides a comprehensive list of all updates and changes made. Google Charts is notable for its use in education. The NCBI article titled "Teaching Data Science to Medical Students: A Multi-Disciplinary Approach" (NCBI article [ 3 ] ) covered how Google Charts has helped medical students learn about data ...

  3. Chart - Wikipedia

    en.wikipedia.org/wiki/Chart

    A chart (sometimes known as a graph) is a graphical representation for data visualization, in which "the data is represented by symbols, such as bars in a bar chart, lines in a line chart, or slices in a pie chart". [1] A chart can represent tabular numeric data, functions or some kinds of quality structure and provides different info.

  4. Bar chart - Wikipedia

    en.wikipedia.org/wiki/Bar_chart

    A bar graph shows comparisons among discrete categories. One axis of the chart shows the specific categories being compared, and the other axis represents a measured value. Some bar graphs present bars clustered in groups of more than one, showing the values of more than one measured variable.

  5. Plot (graphics) - Wikipedia

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

    The graphs can be used together to determine the economic equilibrium (essentially, to solve an equation). Simple graph used for reading values: the bell-shaped normal or Gaussian probability distribution, from which, for example, the probability of a man's height being in a specified range can be derived, given data for the adult male population.

  6. Layered graph drawing - Wikipedia

    en.wikipedia.org/wiki/Layered_graph_drawing

    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. [1] [2] [3] It is also known as Sugiyama-style graph drawing after Kozo Sugiyama, who first developed this drawing style. [4]

  7. Squaregraph - Wikipedia

    en.wikipedia.org/wiki/Squaregraph

    The characterization of squaregraphs in terms of distance from a root and links of vertices can be used together with breadth first search as part of a linear time algorithm for testing whether a given graph is a squaregraph, without any need to use the more complex linear-time algorithms for planarity testing of arbitrary graphs.