Granularity refers to the inconsistencies and missing values that exist within data.

Name: Granularity refers to the inconsistencies and missing values that exist within data.
Brand: Quizplus
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Quizplus · Accepted Answer

Granularity in data refers to the level of detail or fineness at which data fields are subdivided. For example, data can be granular if it is broken down into small, detailed pieces, such as itemized transactions rather than monthly summaries. It does not directly refer to inconsistencies or missing values.

Granularity Refers to the Inconsistencies and Missing Values That Exist