Mostly collected using surveys or questionnaires, this data type is descriptive, as it sometimes allows respondents the freedom to type in responses. Examples of nominal data include name, hair colour, sex etc. Nominal data is sometimes called “labelled” or “named” data. Coined from the Latin nomenclature “Nomen” (meaning name), this data type is a subcategory of categorical data. This is a type of data used to name variables without providing any numerical value. There are two types of categorical data, namely nominal and ordinal data. One can neither add them together nor subtract them from each other. Read More: 5 Types of Biodata + Ĭategorical data can take on numerical values (such as “1” indicating Yes and “2” indicating No), but those numbers don’t have mathematical meaning. I.e, if an organisation or agency is trying to get a biodata of its employees, the resulting data is referred to as categorical. This data is called categorical because it may be grouped according to the variables present in the biodata such as sex, state of residence, etc. What is Categorical Data?Ĭategorical data is a collection of information that is divided into groups. Similarly, numerical data, as the name implies, deals with number variables. Although there is no restriction to the form this data may take, it is classified into two main categories depending on its nature-namely categorical and numerical data.Ĭategorical data, as the name implies, are usually grouped into a category or multiple categories. Information, in this case, could be anything which may be used to prove or disprove a scientific guess during an experiment.ĭata collected may be age, name, a person’s opinion, type of pet, hair colour etc. In mathematical and statistical analysis, data is defined as a collected group of information.
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