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

Correctness

Numerical (Discrete or Continuous)

Last modified 1yr ago