Categorical Data

Categorical data is a type of data that consists of categorical variables, which are variables that can take on one of a limited, and usually fixed, number of possible values or categories. Categorical data is often represented using labels or names, rather than numerical values. In data science, categorical data is commonly used in statistical analysis, machine learning, and data visualization. Categorical data can be further classified into nominal and ordinal data. Nominal data is data that has no inherent order or ranking, while ordinal data is data that has a natural order or ranking. Categorical data can also be binary, meaning it has only two categories, or multi-categorical, meaning it has more than two categories.
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