Is age a categorical data?

Ah, that's an interesting question indeed. Let's delve into it. When we talk about "age," we're usually referring to the number of years an individual has lived. Now, categorical data typically refers to data that falls into distinct, mutually exclusive categories or groups. For instance, gender (male, female, non-binary) or educational level (high school, undergraduate, graduate) are examples of categorical data. On the other hand, age is often represented by numerical values that can be measured and compared quantitatively. It's not a fixed set of categories like categorical data, but rather a continuum of numbers. We can calculate the average age, the median age, or even the standard deviation of ages, which suggests a quantitative nature. So, the question is, does this make age categorical data? In my opinion, no. Age is more appropriately classified as quantitative data, specifically continuous quantitative data, since it represents a measurable magnitude or amount that can take on any value within a specified range. What do you think? Does this analysis make sense? Or do you see age as categorical data in some way?