Multiway data analysis: Difference between revisions

Revision as of 20:23, 26 December 2022

Revision as of 00:35, 27 December 2022

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In this sense, we can define the various ''ways'' of data to analyze:

* ''One-way data'' is an ''N''-dimensional [[Vector (mathematics and physics)|vector]] or an ''N''-dimensional data point is a one-way data that is stored in a one-way array data structure.

* ''Two-way data'' is a grid of data, a "data [[matrix (mathematics)|matrix]]" that is stored in a two-way array. A [[spreadsheet]] can be used to visualize such data in the case of discrete dimensions.

* ''Three-way data'' is a cube of data that is stored in a thre-way array. Such data might represent the temperature at different locations (two-way data) sampled over different times (leading to three-way data)

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* ''Five-way data'' and ''six-way data'' can be represented by similarly higher levels of data aggregation.

In general, a multwaymultiway data is stored in a multuwaymultiway array and may be measured at different times, or in different places, using different methodologies, and may contain inconsistencies such as missing data or discrepancies in data representation.

===Multiway model===