Categorical data is a type of data that can be divided into categories or groups. It represents characteristics such as color, size, or brand, and each category can have a limited and fixed number of possible values. Categorical data is usually stored as text, but can also be represented as numerical values if each number represents a unique category. Examples of categorical data include gender, educational level, and marital status.
Nominal data
Nominal data refers to data that is categorical in nature, meaning it is used to classify or label items into distinct categories or groups. It is often used in surveys and questionnaires, and can be represented by numbers or labels. Nominal data is not numerical and cannot be used to perform mathematical operations such as addition or averaging.
