> For the complete documentation index, see [llms.txt](https://docs.telm.ai/academy/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.telm.ai/academy/correctness/categorical-nominal-or-ordinal.md).

# 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


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