GRANULARITY | English meaning - Cambridge Dictionary

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GRANULARITY definition: 1. the quality of including a lot of small details: 2. the quality of including a lot of small…. Learn more. These examples are from corpora and from sources on the web. Any opinions in the examples do not represent the opinion of the
What is granularity in data analysis and why is it important?
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In Power BI, data granularity refers to the level of detail or precision of the data that is used in a report or analysis. Power BI allows users to work with data at different levels of granularity, depending on the needs of the analysis. For example, data can be aggregated to show summary information, or it can be detailed to show individual ...
What Is Data Granularity? | Coursera
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Data granularity is the measure of how finely you divide your data. Choosing the right level of data granularity is essential to ensure analysis and predictions with your data are accurate, your data is stored correctly, and you can process it in the ways you want. In this article, we will explore what data granularity is, expand on different ...
Granularity - Wikipedia
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Granularity (also called graininess) is the degree to which a material or system is composed of distinguishable pieces, "granules" or "grains" (metaphorically). It can either refer to the extent to which a larger entity is subdivided, or the extent to which groups of smaller indistinguishable entities have joined together to become larger distinguishable entities.
GRANULARITY | definition in the Cambridge English Dictionary
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GRANULARITY meaning: 1. the quality of including a lot of small details: 2. the quality of including a lot of small…. Learn more. These examples are from corpora and from sources on the web. Any opinions in the examples do not represent the opinion of the ...
Understanding the Levels of Granularity: A Comprehensive Guide
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In conclusion, scope and detail are essential aspects of analysis, and the levels of granularity offer a means to effectively measure, categorize, and analyze data. The balance between high-level overviews and in-depth analysis allows for a more nuanced understanding, where both the big picture and the minute details contribute to the overall insights gained.
GRANULARITY Definition & Meaning | Dictionary.com
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Granularity definition: the state or quality of being grainy or granular. See examples of GRANULARITY used in a sentence. About Careers Contact us Cookies, terms, & privacy Do not sell my info Follow us Get the Word of the Day every day!
GRANULARITY definition and meaning | Collins English Dictionary
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2 meanings: 1. the state or quality of being grainy or granular 2. the state or quality of being composed of many individual.... Click for more definitions. TRANSLATOR
What is Granular Data? - Definition from Techopedia
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Granular data is detailed data, or the lowest level that data can be in a target set. It refers to the size that data fields are divided into, in short how detail-oriented a single field is. A good example of data granularity is how a name field is subdivided, if it is contained in a single field or subdivided into its constituents such as ...
Granularity - Definition, Meaning & Synonyms | Vocabulary.com
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granularity: 1 n the quality of being composed of relatively large particles Synonyms: coarseness , graininess Types: sandiness a texture resembling that of sand Type of: raggedness , roughness a texture of a surface or edge that is not smooth but is irregular and uneven
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What is Granularity? - Definition from Techopedia
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Granularity: In computer science, granularity refers to a ratio of computation to communication – and also, in the classical sense, to the breaking down of larger holistic tasks into smaller, more finely delegated tasks. Granularity can inform development practices and direct design for technologies, by bringing attention to how computing ...
Granularity - definition of granularity by The Free Dictionary
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Define granularity. granularity synonyms, granularity pronunciation, granularity translation, English dictionary definition of granularity. adj. 1. Composed or appearing to be composed of granules or grains: granular sugar; granular snow.
GRANULAR Definition & Meaning | Dictionary.com
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granular: 4. highly detailed; having many small and distinct parts: data analysis on a granular level.
The concept of granularity in the data analysis - Me-Mind
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Granularity in Me-Mind project. In the Me-Mind project, we have often addressed the concept of data granularity within the data analysis in our two use cases. In the data collection phase, it was possible to appreciate how important the concept of granularity is in defining a targeted strategy for achieving certain objectives.
Data Granularity - C3 AI
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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 ...
Granular Definition & Meaning - Merriam-Webster
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granular: [adjective] consisting of or appearing to consist of granules : grainy.
granularity, n. meanings, etymology and more - Oxford English Dictionary
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granularity, n. meanings, etymology, pronunciation and more in the Oxford English Dictionary Revision of the OED is a long-term project. Entries in oed.com which have not been revised may include: corrections and revisions to definitions, pronunciation
What Is Data Granularity? (Plus Why It's Important) | Indeed.com
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Data granularity is a useful way of collecting and analyzing complex data, but it does have some limitations. For example, higher levels of granularity require more computing resources. It may also require more memory and storage space within a database or data warehouse. A company that commits to maintaining a high level of data granularity ...
GRANULAR | definition in the Cambridge English Dictionary
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GRANULAR meaning: 1. made of, or seeming like, granules: 2. including small details: 3. made of, or seeming like…. Learn more. These examples are from corpora and from sources on the web. Any opinions in the examples do not represent the opinion of the ...