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Multi-dimensional Analysis

Multi-dimensional Analysis

Multi-dimensional AnalysisMultidimensional (MD) analysis is a methodological approach that identifies co-occurrence patterns of linguistic features based on the factor analysis and characterizes a text or a group of texts in terms of those patterns that are functionally interpreted

multidimensional analysis (MDA) is a data analysis process that groups data into two categories: data dimensions and measurements. For example, a data set consisting of the number of wins for a single football team at each of several years is a single-dimensional (in this case, longitudinal) data set. A data set consisting of the number of wins for several football teams in a single year is also a single-dimensional (in this case, cross-sectional) data set. A data set consisting of the number of wins for several football teams over several years is a two-dimensional data set.


Multidimensional analysis is the analysis of dimension objects organized in meaningful hierarchies. The multidimensional analysis allows users to observe data from various viewpoints. This enables them to spot trends or exceptions in the data.
A hierarchy is an ordered series of related dimensions. An example of a hierarchy is Geography, which may group dimensions such as CountryRegion, and City.
In Web Intelligence you can use drill up or down to perform multidimensional analysis

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