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dictionary.cambridge.org/dictionary/english/granularityPrivate View Granularity is the quality of including a lot of small details in information, making it possible to understand clearly what is happening. Learn more about the meaning, usage and examples of granularity in English and Business English.
Data Granularity - Statistics How To www.statisticshowto.com/data-granularityPrivate View Granularity refers to the level of detail in a process. In a data warehouse, data granularity is the level of detail in a model or decision making process. It tells you how detailed your data is: Lower levels of detail equal finer, more detailed, data granularity [1, 2].
GRANULARITY Definition & Meaning | Dictionary.com www.dictionary.com/browse/granularityPrivate View the state or quality of being composed of many individual pieces or elements. Discover More. Example Sentences. The acid of the tomato destroys the granularity of the sugar. From Project Gutenberg. Granularity definition: the state or quality of being grainy or granular. See examples of GRANULARITY used in a sentence.
Granularity - definition of granularity by The Free Dictionary www.thefreedictionary.com/granularityPrivate View adj. 1. Composed or appearing to be composed of granules or grains: granular sugar; granular snow. 2. a. Having a high level of detail, as in a set of data: a more granular report that shows daily rather than weekly sales figures. b. Consisting of multiple diverse or discrete elements: granular income streams from a variety of tenants. 3.
The concept of granularity in the data analysis - Me-Mind www.memind.eu/granularity-dataPrivate View The concept of “granularity” in the data analysis. Often the “granularity” concept comes up, when working with data. Whatdoes 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.
Data Granularity - C3 AI c3.ai/glossary/features/data-granularityPrivate View 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. For ordering transactions, granularity might be at the purchase order level, or line item level, or detailed configuration level for ...
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