A retail analyst is designing a star schema for a sales data mart. They need to define fields such as Brand, Product_Line, and Store_ID, which will be used to slice, filter, and group numeric sales facts. According to data-type classifications, how should these fields be categorized?
These fields are descriptive attributes identifying qualitative groups (brands, products, stores). Such attributes are treated as categorical variables or dimension columns because their values are labels used for grouping and filtering. Continuous numeric measures differ because they represent quantities that can be aggregated. Unstructured text fields store large free-form content without predefined categories. Date values capture temporal points and are used for sequencing time, not for labeling product or location categories.
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