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Data Visualization: Visualization Types

This Libguide has been adapted from Duke University (Data Visualization: About Data Visualization @ https://guides.library.duke.edu/datavis), guide created by Angela Zoss. Modified by Jose-Ignacio Pareja

Common Static Visualization Types

This taxonomy is based on a data taxonomy from: Shneiderman, B. (1996). The eyes have it: A task by data type taxonomy for information visualizations. Proceedings of IEEE Symposium on Visual Languages - Boulder, CO (pp. 336-343).

The taxonomy is heavily weighted toward the more abstract information visualization techniques and is less representative of scientific visualizations, which can be highly specialized by domain and are more difficult to generalize.

(A slightly different taxonomy with examples is available at Visual Analytics Digital Library - Visualization Types or The Data Visualization Catalog)

1D/Linear

Examples:

  • lists of data items, organized by a single feature (e.g., alphabetical order)
    (not commonly visualized)

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2D/Planar (especially geospatial)

Examples (geospatial):

Examples (artificial planes):

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3D/Volumetric

Broadly, examples of scientific visualization:

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Temporal

See also:

Examples:

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nD/Multidimensional

Examples (category proportions, counts):

Examples (relationships between variables):

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Tree/Hierarchical

Examples:

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Network

Examples:

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