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Granularity refers to the level of detail or depth of information in a dataset, analysis, or system. It indicates how finely a dataset can be divided or measured. In various contexts, granularity can have different implications: 1. **Data Analysis**: In databases, granularity can refer to the size of the data elements (e.g., individual transactions vs. aggregated data).

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  1. Statistical mechanics
  2. Applied probability
  3. Applied mathematics
  4. Fields of mathematics
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