Nominal Data

Nominal Data - The data related to gender, race, religious affiliation, political affiliation etc; are the examples for Nominal data. In a more general form the data assigned with labels or names are considered as the data in Nominal scale. Since, each label or name indicates a separate category in the data; this data is also called as categorical data. The only comparison that can be made between two categorical variables is that they are equal or not, these variables can not be compared with respect to the order of the labels.

[Category=Data Quality ]

Source: iSixSigma, 07 February 2011 07:38:33, https:web.archive.org/web/20111109014246/http:www.isixsigma.com/index.php?option=com_glossary

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nominal data - [data structures] Data divided into classes within which all elements are assumed to be equal to each other, and in which no class comes before another in sequence or importance; for example, a group of polygons colored to represent different soil types.

[Category=Geospatial ]

Source: esri, 20 June 2012 09:39:58, http://support.esri.com/en/knowledgebase/GISDictionary/term/abbreviation