Granularity Meaning: Definition, Examples, and Translations

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granularity

[ˌɡranjʊˈlærəti ]

Definition

^{Context #1 | Noun}

data analysis

The extent to which a data set is broken down into individual data points or individual levels of detail. Granularity can affect the level of detail and accuracy of analysis.

Synonyms

detail, precision, specificity.

Which Synonym Should You Choose?

Word	Description / Examples
granularity	Use when describing the level of detail or depth in something, especially in data or analysis. The granularity of the report ensures that we cover all aspects of the project. We need more granularity in the financial data to make informed decisions.
detail	Best for general contexts where you are talking about small parts of something or additional information. She explained the plan in great detail. Pay attention to the details in the instructions.
specificity	This word is useful when highlighting how specific or precise something is, often in distinguishing one thing from another. The specificity of the symptoms helps in diagnosing the disease. The contract requires a high level of specificity regarding the terms.
precision	Refers to the accuracy or exactness of information, measurements, or processes. Often used in scientific or technical contexts. The precision of the clock is unmatched. We need precision in these calculations to avoid errors.

Examples of usage

The granularity of the sales data is at the daily level, allowing us to analyze daily trends.
By increasing the granularity of the data, we can identify specific patterns within the dataset.

Translations

To see the translation, please select a language from the options available.

Interesting Facts

Science

In computer science, granularity refers to how fine or coarse the level of detail is in a data set.
Granularity plays a crucial role in image processing; finer granularity can lead to better image resolution.
In particle physics, it’s important for researchers to understand the granularity of materials to investigate their properties.

Business

In project management, a granular plan breaks down tasks into small, manageable units, improving organization.
Companies analyze customer data with different levels of granularity to better understand behaviors and preferences.
Granularity is key for risk management, allowing businesses to identify fine details in potential threats.

Psychology

The human brain processes information at varying levels of granularity, affecting memory and recall.
People might remember detailed events (high granularity) differently from general impressions (low granularity).
Granularity in emotions can help individuals understand their feelings more precisely and improve emotional intelligence.

Technology

In programming, granularity refers to the size of tasks that can be parallelized for efficiency.
Cloud computing often utilizes granularity to adjust resource allocation based on demand.
Data storage systems operate at different granularities to balance between speed and storage efficiency.

Origin of 'granularity'

Main points about word origin

This term comes from the Latin word 'granulum,' which means 'small grain.'
It was first used in the context of geology to describe the size of particles in rocks.
The term has evolved to be widely used in various fields, particularly in data and analysis.

The word 'granularity' originated from the Latin word 'granulum,' which means 'small grain.' The term was first used in the context of data analysis in the mid-20th century. It has since become a common term in discussions related to data processing and analysis, highlighting the importance of the level of detail in datasets.