A set of data is said to be nominal if the values / observations belonging to it can be assigned a code in the form of a number where the numbers are simply labels. You can count but not order or measure nominal data.
Data groups that do not have a specific order. An example of this could be country names, or individuals, or, as shown on the right, Courses by name. These don't need to be placed in any order.
With nominal data you can only make statements about the difference between groups, and comment on patterns, such as in the example on the right.
Note that the inferences we draw from the data are different for ordinal and nominal data. For example, with ordinal data you can look at trends.
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In computer programming , an ordinal data type is a data type with the property that its values can be counted. That is, the values can be put in a one-to-one correspondence with the positive integers .
Ordinal data have order , but the interval between measurements is not meaningful.
A set of data is said to be ordinal if the values / observations belonging to it can be ranked (put in order) or have a rating scale attached.You can count and order, but not measure, ordinal data.
Example 2: Colors To most people, the colors: black, brown, red, orange, yellow, green, blue, violet, gray, and white are just names of colors.
To an electronics student familiar with color-coded resistors, this data is in ascending order and thus represents at least ordinal data.
To a physicist, the colors: red, orange, yellow, green, blue, and violet correspond to specific wavelengths of light and would be an example of ratio data.
Pay bands in an organization, as denoted by A, B, C and D.
Example 1:
a group of people were asked to taste varieties of biscuit and classify each biscuit on a rating scale of 1 to 5, representing strongly dislike, dislike, neutral, like, strongly like. A rating of 5 indicates more enjoyment than a rating of 4, for example, so such data are ordinal.
However, the distinction between neighbouring points on the scale is not necessarily always the same. For instance, the difference in enjoyment expressed by giving a rating of 2 rather than 1 might be much less than the difference in enjoyment expressed by giving a rating of 4 rather than 3.
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