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BistoGravyGranules19kg

Snippets on granularity

Wikipedia:

Granularity is the extent to which a system is broken down into small parts, either the system itself or its description or observation. It is the “extent to which a larger entity is subdivided. For example, a yard broken into inches has finer granularity than a yard broken into feet.”[1]

Coarse-grained systems consist of fewer, larger components than fine-grained systems; a coarse-grained description of a system regards large subcomponents while a fine-grained description regards smaller components of which the larger ones are composed.

The terms granularity, coarse and fine are relative, used when comparing systems or descriptions of systems. An example of increasingly fine granularity: a list of nations in the United Nations, a list of all states/provinces in those nations, a list of all counties in those states, etc.

The terms “fine” and “coarse” are used consistently across fields, but the term “granularity” itself is not. For example, in investing, “more granularity” refers to more positions of smaller size, while photographic film that is “more granular” has fewer and larger chemical “grains”.

Webopedia:

The extent to which a system contains separate components (like granules). The more components in a system — or the greater the granularity — the more flexible it is.

A definition from a guy who read the whole of Proust’s In Remembrance of Things Past

More from Wikipedia:

Data granularity

The granularity of data refers to the fineness with which data fields are sub-divided. For example, a postal address can be recorded, with low granularity, as a single field:

  1. address = 200 2nd Ave. South #358, St. Petersburg, FL 33701-4313 USA

or with high granularity, as multiple fields:

  1. street address = 200 2nd Ave. South #358
  2. city = St. Petersburg
  3. postal code = FL 33701-4313
  4. country = USA

or even higher granularity:

  1. street number = 200
  2. street = 2nd Ave. South #358
  3. city = St. Petersburg
  4. postal code state = FL
  5. postal-code-first-part = 33701
  6. postal-code-second-part = 4313
  7. country = USA

Merrian Webster:

1 : consisting of or appearing to consist of granules

(no really, thanks guys)

learning object granularity

In credit portfolio risk management:

In credit portfolio risk modeling, granularity refers to the number of the exposures in the portfolio. The higher the granularity, the more positions are in a credit portfolio, providing a higher degree of size diversification, which in turn reduces concentration risk. This is colloquially known as “not putting all your eggs in one basket”.

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