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discrete data

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discrete data

In mathematics, data that can take only whole-number or fractional values, that is, distinct values. The opposite is continuous data, which can take all in-between values. Examples of discrete data include frequency and population data. However, measurements of time and other dimensions can give rise to continuous data.

Discrete data can take only certain values; for example, the types of cars in a car park, and the number of apples on an apple tree. The data can be collected by observation, experiment, data logging, questionnaires, or surveys. Often it is practical to arrange the data as grouped data.



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While scanning and imaging paper to create an electronic file is a first step, leading systems enable claims handlers to easily organize, search, analyze and share claims files with data stored in structured, searchable and discrete data fields.
A quarterly bank call report has hundreds of discrete data elements, all tagged and ready for import into a commercial database.
A similar approach was used for the discrete dosing data and for the combined continuous and discrete data by dividing the doses by the estimated numbers of days in each dosing period (8 days for the fetal dosing period, 21 days for the birth-weaning life stage, 39 days for the weaning-60-day life stage, and 663 days for the adult period).
 
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