FUNDAMENTALS OF COMPUTER

Detailed explanation-1: -Data granularity is the level of detail considered in a model or decision making process or represented in an analysis report. The greater the granularity, the deeper the level of detail.

Detailed explanation-2: -What does it mean? Granularity indicates the level of detail of that data. High granularity level refers to a high level of detail, vice-versa low granularity level refers to a low level of detail. Practically speaking, the more subdividable and specific a data is, the more granular it is considered to be.

Detailed explanation-3: -Data that has a low level of granularity would have a small number of individual pieces of information, such as summary data or aggregated data. The granularity of data can affect how it is used and analyzed, and can impact the accuracy and usefulness of the results.

Detailed explanation-4: -What is Data Granularity? Data granularity is a measure of the level of detail in a data structure. In time-series data, for example, the granularity of measurement might be based on intervals of years, months, weeks, days, or hours.