# Why does my textbook say this is not a frequency distribution / not categorical data? It looks like one to me

I am reading an intro to statistics textbook, and they were telling us about pie charts. They were saying that pie charts can be used for categorical data sets. But then they said that they can be used for "other purposes" as well (without specifying what is different about those other purposes). Instead they gave an example that I have screenshot-ed below. In the example they show a table with types of grapes that were grown in california. The textbook says this table is not a frequency distribution. But from what the textbook said before, it seems like a frequency distribution to me (Here is how they define frequency distribution: "Frequency distribution for categorical data: A table that displays frequencies, and sometimes relative frequencies, for each of the possible values of a categorical variable."). What is the difference here?

Is the difference simply that these numbers are not from a sample but are estimates of the entire population? I can't see what else it would be, because correct me if I'm wrong but grapes would be the population here and type of grape would be the categories right? (the textbook emphasized that the target population could be anything not just people) So this would be a categorical data set. So why isn't the table a frequency distribution?

• It depends on how you are willing to treat the variable "tons produced". If you consider it to be discrete, e.g. taking values 0,1,2, etc, because you care about counting only integer tons, then the table is a frequency distribution. Otherwise, if you consider tons to be, e.g. the sum in kg, then when converting to kg to tons you may have decimal values, thus in this case the variable is continuous. Commented Jan 29, 2023 at 22:02