Different types of attributes in a data mining data set are:
The values of a nominal attribute are just different names, i.e. nominal attributes provide only enough information to distinguish one object from another(=,≠)
Examples: zip codes, employees ID numbers.
The values of an ordinal attribute provide enough information to order objects(<, >)
Examples: Hardness of minerals, street numbers
For interval attributes, the differences between values are meaningful,i.e. a unit of measurement exists(+,-)
Examples: Calendar dates, Temperature in Celsius or Fahrenheit.
- For ration variables, both differences and ratios are meaningful(*,/)
- Examples: Temperature in Kelvin, counts, age.