Categorical data is a statistical data type consisting of categorical variables. Categorical data is the data which can be divided into groups, this data can not be measured numerically.
There are often more informative to categorize the variables into relatively small number of group like race, sex, colour, educational qualification etc, which tells us that they are very qualitative in nature. Whereas, the other datas are quantitative and are often measured numerically.
Categorical data is divided into two main types:
- Simple attribute data
- Manifold attribute data
Simple attribute data: The data identified on the basis of single characteristic is called as simple attribute data.
Example: The number of students in a class room based on the characteristic sex. Here, we consider the characteristic as boys and girls. So, this data will be a simple attribute.
Manifold attribute data: The data identified on the basis of more than one characteristic is called as manifold attribute data.
Example: The number of students on a class room based on the characteristic sex and marks. Here, we consider the characteristic boys and girls and also below average and above average.