A dimension is a series of predicates used to partition data.
A matrix is a two dimensional data structure.
A generator, to create a function to pass into query that averages numerical values derived from rows in a cube.
A callback function to derive a numerical value for each object in the source data.
Create a callback to used in a map operation to create the predicate for each point on a dimension from a set of simple values.
The property in the source data to base this predicate on.
Pivots source data by one or more dimensions returning an n-cube.
The source data, an array of objects.
The first dimension to pivot the source data by.
0-n additional dimensions to pivot the source data by.
Returns an n-cube; minimally a Matrix if only one dimension passed, a Cube if two dimensions passed, and so one as more dimensions added.
A generator, to create a function to pass into query that sums numerical values derived from rows in a cube.
A callback function to derive a numerical value for each object in the source data.
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A cube is a three dimensional data structure.