Categorical data represents variables that can be divided into groups or categories. These categories are typically names or labels, such as gender, color, or brand.
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Categorical data can be either nominal or ordinal, with nominal having no specific order and ordinal having a meaningful order.
Frequency tables and bar charts are common ways to display categorical data.
In statistical analysis, categorical data often requires different techniques than numerical data, such as chi-square tests.
Coding is sometimes used to convert categorical data into numerical form for analysis purposes.
Examples of categorical data include eye color, type of vehicle, and marital status.