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Data

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Statistical population

The total membership or population or "universe" of a defined class of people, objects or events. There are two types of population, viz., target population and survey population. A "target population" is the population outlined in the survey objects about which information is to be sought and a "survey population" is the population from which information is obtained in a survey. The target population is also known as the scope of the survey and the survey population as the coverage of the survey. For administrative data sources, the corresponding populations are the "target population", as defined by the relevant legislation and regulations, and the actual "client population". Source: SDMX (2009).

Examples:
In an agriculture survey, the population is the farm register from which a sample is drawn.

Statistical presentation

Defines the main statistical characteristics of the data in the database.

Statistical processing

Statistical processing documents the overall data collection methodology, including validation, adjustment, and compilation.

Statistical subject-matter domain

A statistical activity that has common characteristics with respect to concepts and methodologies for data collection, manipulation and transformation. This allows the identification of subject matter domain groups involved in the development of guidelines and recommendations relevant to one or more statistical domains. Source: SDMX (2009).

Statistical unit

Entity for which information is sought and for which statistics are ultimately compiled. The statistical unit is the object of a statistical survey and the bearer of statistical characteristics. These units can, in turn, be divided into observation units and analytical units. Source: SDMX (2009).

Examples:
In an agriculture survey, the statistical unit is the farm.

Statistical variable

A characteristic of a unit being observed that may assume more than one of a set of values. A variable in the mathematical sense, i.e. a quantity which may take any one of specified set of values. Source: SDMX (2009).

Examples:
Crop production is a variable but it has to be qualified by specifying the country and year and usually also by type of crop. For example, crop production in Italy is a variable, measured yearly in tonnes, according to FCL.

Statistics

Section of data.fao.org that refers to numerical data and metadata.

Examples:
Crop yields

Structural metadata

Structural metadata is metadata that acts as an identifier and descriptor of the data. Structural metadata must be associated with statistical data, otherwise it becomes impossible to identify, retrieve and navigate the data. Source: OECD (2013).

Tags

A descriptive word or phrase applied to a object, such as a document or photo, as a way to identify it. Tags can be added by any user but they are moderated (accepted or rejected) by the data owners of the tagged resource. Tags also refers to a navigation menu in data.fao.org where data is organized by predefined tags.

data.fao.org strongly supports controlled vocabularies such as AGROVOC.

Topics

A navigation menu item that organizes available data by official FAO categories, for example, Animal Production and Health.

Unit multiplier

Exponent in base 10 specified so that multiplying the observation numeric values by 10^UNIT_MULT gives a value expressed in the unit of measure. Source: SDMX (2009).

Examples:
Thousands of tonnes, millions of people

Unit of measure

The unit in which the data values are measured. The unit of measure is a quantity or increment by which something is counted or described, such as kg, mm, °C, °F, monetary units such as Euro or US dollar, simple number counts or index numbers. The unit of measure has a type (e.g. currency) and, in connection with the unit multiplier, provides the level of detail for the value of the variable (e.g. Euro, 1000 Euro). Source: SDMX (2009).

Widget

A software component that performs a simple function and can be embedded into a webpage.

Examples:
Weather report, stock quote
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