# arrow_back Why are frequencies and relative frequencies used for categorical data?

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Why are frequencies and relative frequencies used for categorical data?

When we collect $\textbf{categorical data}$ from each subject, the outcome is simply a list of the categories with $\textbf{frequencies}$ (the number of subjects in each category) or $\textbf{relative frequencies}$ (the $\textbf{percentage}$ of subjects in each category).

For example, suppose a fast food company samples teenagers to decide on a new milkshake flavor. Even though the data is categorical, the final result is a list of categories and frequencies (counts): vanilla: 20, chocolate: 27, cookies and cream: 35. CAUTION: even though there is a count involved, the actual data (milkshake flavors) is categorical.
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