Nominal Data
Nominal data is a type of categorical data that consists of data that can be placed into categories with no inherent order or ranking. Nominal data is used to label variables without any quantitative value. In data science, nominal data is often used to represent characteristics such as gender, race, or nationality. Nominal data can be analyzed using frequency tables, mode, and chi-square tests. It is important to note that nominal data cannot be used in mathematical operations such as addition or subtraction. Instead, it is used for qualitative analysis and to identify patterns and relationships between variables.
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