Categorical vs Numerical

Categorical data describes groups or qualities and uses words or labels (e.g., hair color), while numerical data represents measurable quantities with numbers (e.g., height). Numerical data can be discrete (countable, like the number of books) or continuous (measurable within a range, like temperature), whereas categorical data can be nominal (unordered categories, like gender) or ordinal (ordered categories, like shirt sizes).