Nominal Data Dataset

Example(s):
- a Categorical Data Dataset (with categorical dataitems).
- a Congressional Voting Records Data Set (1984)[1]
Counter-Example(s):
- an Ordinal Data Dataset.
See: Binary Dataset, Ratio Scale, Dependent and Independent Variables, Nominal Level, Ordinal Scale, Interval Scale.

References

(Wikipedia, 2016) ⇒ https://en.wikipedia.org/wiki/Level_of_measurement#Nominal_level Retrieved:2016-9-14.
- The nominal type differentiates between items or subjects based only on their names or (meta-)categories and other qualitative classifications they belong to; thus dichotomous data involves the construction of classifications as well as the classification of items. Discovery of an exception to a classification can be viewed as progress. Numbers may be used to represent the variables but the numbers do not have numerical value or relationship: For example, a Globally unique identifier.

http://www.psychology.emory.edu/clinical/bliwise/Tutorials/CHTESTS/choose/nom.htm
- QUOTE: The following tests can be used with nominal data. Which test you select is determined by the number of samples and whether you are testing an hypothesis about group differences or the association between independent and dependent variables. If you are testing an hypothesis about group differences, you also must consider whether the groups/samples are independent or dependent