There are two types of data densification: domain completion and domain padding. Domain completion is the more complex of the two and can be deployed cleverly to solve sparse data issues, but may also appear unexpectedly and prove a challenge to address.
- Domain completion: The addition of marks on a sparsely-populated view that cause all possible dimension/measure combinations to display results.
Grasping domain completion requires a good understanding of dimensions and measures – discrete and continuous – and partitioning and addressing within table calculations. The first two sets of terms, dimensions/measures and discrete/continuous, are discussed in Chapter 1, Getting Up to Speed – A Review of the Basics. The last set of terms, partitioning and addressing, is discussed in detail in Chapter 6, Table Calculations.
Now, let's consider...
