For example, if you were conducting a survey on the political views of a group of people, you might collect nominant data on their party affiliation. The party affiliation could be represented by a code, such as "D" for Democrat, "R" for Republican, or "I" for Independent.
Nominant data can be used to describe the distribution of categories within a population, but it cannot be used to perform mathematical calculations. For example, you could use nominant data to determine the percentage of people in a population who are Democrats, Republicans, or Independents, but you could not use it to calculate the average age of the people in the population.
Nominant data is often used in conjunction with other types of quantitative data, such as interval or ratio data. For example, you could use nominant data to represent the gender of a group of people, and interval data to represent their age. This would allow you to compare the age distributions of different genders.
Here are some examples of nominant data:
* Gender
* Race
* Occupation
* Religion
* Party affiliation
* Country of origin
Nominant data is an important tool for researchers, as it allows them to describe and compare different groups of people.