- 1 Nominal data
- 2 What are nominal data or nominal variables, their meaning and concept?
Statistics allow the recognition of various types of data that includes nominal, ordinal variables, proportions and intervals. In this sense, we recommend you read this article with which you will learn What are nominal data or nominal variables, their meaning and concept?
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.
What are nominal data for?
Generally, nominal data are very useful when carrying out the process of data collection and analysis 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.
What are nominal data or nominal variables, their meaning and concept?
Nominal data or nominal variables are considered as a categorization item 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.
What is nominal data?
In statistics, nominal data are those that are represented by various categories which allow grouping the objects of study. Nominal data allows identify a class or category and it differs from the others by its name or identifier number.
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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.
The meaning of nominal data
The word “Nominal” comes from the Latin “nominalis” which means “belonging to a name”. For this reason, we say that a nominal data is a label. As the word “name” is also used to refer to a noun, it is common to use the term “nominal” as an adjective of “name”.
Nominal data attributes
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 function of these tags is to classify classes effectively. Nominal data do not have hierarchies, that is, they do not reflect a specific order.
Nominal data and their types
Nominal data can be divided according to the number of classes. In this sense, if a nominal datum has two classes it is called datum or dichotomous variable. On the other hand, nominal data with three or more classes or categories are called polycotomic or multichotomic data or variables.
Do nominal data allow for numerical analysis?
It is not possible to perform a numerical analysis of the data by using nominal variables and therefore adding by categories in Excel. This is because your data maintains the qualitative property so the response options always keep that attribute.
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Can the mean be obtained with nominal data?
We can not get the mean by using nominal data due to the qualitative nature of the options for these data or variables. However, it is possible to select a range of cells in Excel to know the mode or the highest frequency in which a response that implies a nominal data is emitted when the study of frequency distribution in statistics is carried out.
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