Granularity

C2 16+
  • Frequency of Use
    20 %
  • Retention Rate
    60 %
  • Complexity
    80 %
  • Granularity Meanings

    noun the quality or condition of being fine or detailed, as in granularity of data

    Fields related to granularity

    Computer Science

    In computer science, granularity refers to the size of the smallest unit of data that can be processed or stored. It can also refer to the level of detail in a system.

    Geography

    In geography, granularity can refer to the level of detail in maps or spatial data. Higher granularity maps show more detail, while lower granularity maps show less detail.

    Information Technology

    In IT, granularity is used to describe the level of detail in a system or data. It can also refer to the size of the smallest unit of data that can be processed.

    Data Analysis

    In data analysis, granularity refers to the level of detail in the data. Higher granularity means more detailed data, while lower granularity means less detailed data.

    Business Intelligence

    In business intelligence, granularity is important for determining the level of detail needed in reports and analyses. It can impact the accuracy and usefulness of the insights gained.

    Occupation Usage of granularity

    Writer

    In writing, granularity refers to the level of detail or specificity in the information being presented. Writers may need to adjust the granularity of their writing depending on the target audience or purpose of the content.

    Psychologist

    Psychologists may use the concept of granularity when discussing the level of detail in data or observations they are analyzing. It can also be relevant when considering the complexity of psychological constructs or theories.

    Software Developer

    In software development, granularity is important when designing systems or components. Developers need to consider the appropriate level of granularity for functions, modules, or interfaces to ensure efficiency and maintainability.

    Data Analyst

    Data analysts work with data at various levels of granularity, from raw data to aggregated summaries. They must understand how data granularity impacts analysis and reporting, and make decisions on the appropriate level of detail for different purposes.

    Architect

    Architects may consider granularity when designing structures or systems. They need to determine the appropriate level of detail in architectural drawings, specifications, or plans to communicate effectively with builders, clients, and other stakeholders.

    Consolidated Statistics about granularity

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    Gender Usage

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