Respuesta :
Detail, summary, aggregate represents the different information granularities
The size of the sub-divisions that make up a data field is referred to as its granularity. A single field can be used to store, for instance, a postal address with coarse granularity. The degree of detail in a data structure is measured by data granularity. For instance, with time-series data, the measurement granularity may be based on intervals of years, months, weeks, days, or hours.
Data granularity refers to the level of information that is taken into account in a model, decision-making process, or displayed in an analytical report. The level of detail increases as granularity increases. It defines granularity as the ratio of computation time to communication time, where computation time is the amount of time necessary to accomplish a task's calculation and communication time is the time required for communication.
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