Different types of attributes:

1. Interval scaled attributes : This type of after represent measurement on almost continuous scale. for e.g. height, weight, temperature etc. The measurement units can affect the analysis process, so data is normalized before analysis.

2. Binary attributes : This type of attributes have only two possible state as 0 & 1, yes & no, true & false, positive & negative etc.

If both the states have equal importance them it is called symmetric binary after otherwise it is called asymmetric binary attributes.

3. Nominal attributes : This type of attributes represent generalized over binary attributes in a sense that they have more than two finite number of state. for example color after in a table of cal.