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Yes Data can be modeled by a cubic function
Using finite differences to determine the degree of the polynomial function that fits the data, you know when a set of data could be modeled by a cubic function if you obtain a third difference that is nonzero and constant.
The entities that contain the measures and dimensions make up the relational graph that is the Cube data model. The term "cubes" for entities in Cube was adopted from OLAP cubes. They are essentially data tables with a semantic meta layer that describes the measures, dimensions, and connections between the cubes.
The basic primitives of dimensions and measurements are the basis on which Cube operates. These primitives can be combined to create metrics by the user.
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