Examples of Nominal Data.Nominal data or also called “nominal variables” are elements in statistics that are used to identify or distinguish subjects through categories. Usually, a label or name is used and they are divided into different groups. It is important to note that nominal data can present multiple values and cannot be quantitative.
Examples of Nominal Data
Nominal data refers to categorical data that can be organized into distinct categories or groups. Here are some examples of nominal data:
- Gender: Male, Female, Non-binary.
- Marital status: Married, Single, Divorced, Widowed.
- Eye color: Blue, Brown, Green, Hazel.
- Ethnicity: Caucasian, African American, Asian, Hispanic, Native American.
- Hair color: Blonde, Brunette, Red, Black.
- Political affiliation: Democrat, Republican, Independent, Libertarian.
- Blood type: A, B, AB, O.
- Education level: High school, Bachelor’s degree, Master’s degree, PhD.
- Vehicle type: Car, Truck, Motorcycle, SUV.
- Country of origin: United States, Canada, United Kingdom, Australia.
These examples demonstrate how nominal data represents different categories or labels without any inherent order or ranking.Generally, nominal data are very useful when conducting the data collection and analysis process during an investigation. Hence, this type of data can be called “categorical data”.
Nominal data can be used for calculations of ratios, proportions, and percentages. With nominal variables, frequency counts are carried out to know the number of times a given event occurs. In addition, it is possible to handle the “fashion” which is a measure of central tendency.
Nominal data or nominal variables are considered as an element of categorization in statistics. If you are conducting a study in this area, it is essential that you know what this data consists of, its meaning and its conceptualization.
In statistics, nominal data are those that are represented by various categories which allow grouping the objects of study. Nominal data allows a class or category to be identified and it is differentiated from the others by its name or identifying number.
Therefore, if two objects of study are linked by the same name, then they are part of the same category. Later, you could create a pivot table with dynamic range in Excel.
Attributes of nominal data
Nominal data or “nominal variables” use a nominal scale. This is the most elementary and allows the units or objects of study to be classified into classes according to their characteristics and properties. You can even use the VLOOKUP or HLOOKUP function to find these variables in a spreadsheet.
Another notable attribute refers to classes which have a name or number that is used as an identifier or a label. The role of these tags is to classify classes efficiently. Nominal data do not have hierarchies, that is, they do not reflect a specific order.
