attributespurity
Attribute purity refers to the concept that a specific attribute or characteristic within a dataset or system should be consistent and not exhibit contradictory values. In essence, it means that an attribute should hold a single, unambiguous meaning or state. For example, if an attribute represents a person's gender, it should ideally have only one value assigned to it per individual, such as "male," "female," or a designated non-binary option, rather than being simultaneously assigned multiple conflicting values.
This principle is crucial in data management and software development. In databases, attribute purity helps ensure
The concept is closely related to normalization in database design, where data is organized to reduce redundancy