The term "non-numerical" refers to anything that is not related to numbers or numerical values. Antonyms for this term include "quantitative", "numeric", "arithmetical", and "mathematical". While non-numerical attributes are subjective, qualitative, and descriptive in nature, numerical attributes are objective, quantitative, and measurable. For example, a person's personality trait is a non-numerical attribute, while their height or weight is a numerical attribute. Understanding the antonyms for "non-numerical" is essential in any field that involves analysis, whether it's in social sciences, humanities, or any other field. Appreciating the difference between numerical and non-numerical attributes helps to clarify the nature of the data being used in research, analysis, and decision-making.