The core principle involves defining data semantics through the distinction between dimensions (categorical/discrete variables) and measures (numeric/continuous variables), which establishes a rigorous framework for aggregation and logical computation within business intelligence domains. Theoretical concepts such as Levels of Detail (LOD) expressions function by abstracting control over granularities independent of the view's native level, enabling complex data transformations across fixed, include, or exclude scopes without reliance on specific implementation syntax. This formalizes the relationship between underlying metadata structures and visual output mechanisms within the broader discipline of data visualization architecture.
The core principle involves defining data semantics through the distinction between dimensions (categorical/discrete variables) and measures (numeric/continuous variables), which establishes a rigoro…