It is generally understood that a specific characteristic (feature/column) of structured data can be broken down into one of four levels of data. The levels are:
As we move down the list, we gain more structure and, therefore, more returns from our analysis. Each level comes with its own accepted practice in measuring the
center of the data. We usually think of the mean/average as being an acceptable form of center, however, this is only true for a specific type of data.
The first level of data, the nominal level, (which also sounds like the word name) consists of data that is described purely by name or category. Basic examples include gender, ...