Statistics - (Discrete | Nominal | Category | Reference | Taxonomy | Class | Enumerated | Factor | Qualitative | Constant ) Data


(Nominal|Category|Reference) data carries contextual information.

Mapping a category value in an attribute of an business entity instance requires often human judgement.

Also known as:

  • Data Mining/Machine learning: discrete classes
  • Statistics: Nominal, Factor
  • Business: Category, Label


nominal values are used in aggregation relationship such as:


Categorizing information logically helps absorb it.

An outline helps also Categorizing information in a hierarchical way.


In Statistics, a Nominal Measurement is the type of measurement in which the values of the variable are names (discrete, categorical variables), and not numerical at all.

Nominal data is measured by classification or categories.

For instance, information collected about the students gender, the town or sub-division in which they live, race, or political opinions.

There is no meaning to the values between the nominal measure. (i.e. 1/2 degree can be interpreted)

Business Logic

They are used to:

  • drive business logic in the application in order to execute a business process,
  • and/or provide meaningful segmentation in order to analyse transactional data.


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