# Categorical (Nominal or Ordinal) Categorical data represent types of data which may be divided into groups. This data being of categorical nature often requires maintaining accurate lists of accepted values. Examples: Gender, country, counties, cities, etc When designing data quality for such data you can provide a reference set and validate the data against that set. **Telmai can offer:** Out of the box lists for most common types of categorical data Automated identification of potential accepted values based on frequency analysis Easy way to compile custom list of accepted values --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.telm.ai/academy/correctness/categorical-nominal-or-ordinal.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.