Types of data values
For successful data preprocessing, you need to know the different types of data values from two different standpoints: analytics and programming. I will review the types of data values for both standpoints and then share with you their relationships and their connections.
Analytics standpoint
There are four major types of values from analytics standpoints: nominal, ordinal, interval-scaled, and ratio-scaled. In the literature, these four types of values are under four types of data attributes. The reason is that the types of values for each attribute must remain the same, therefore, you can extrapolate value types to attribute types.
The preceding figure shows the tree of attribute types. The four mentioned types are in the middle. As you can see in the tree, Nominal and Ordinal attributes are called Categorical (or qualitative) attributes, whereas Interval-Scaled and Ratio-Scaled attributes...