numerical data let' start with numerical data it' probably the most common data type basicallyit represents some quantifiable thing that you can measure some examples are heights of peoplepage load timesstock pricesand so on things that varythings that you can measurethings that have wide range of possibilities now there are basically two kinds of numerical dataso flavor of flavor if you will discrete data there' discrete datawhich is integer-based andfor examplecan be counts of some sort of event some examples are how many purchases did customer make in year wellthat can only be discrete values they bought one thingor they bought two thingsor they bought three things they couldn' have bought things or three and three-quarters things it' discrete value that has an integer restriction to it continuous data the other type of numerical data is continuous dataand this is stuff that has an infinite range of possibilities where you can go into fractions sofor examplegoing back to the height of peoplethere is an infinite number of possible heights for people you could be five feet and inches tallor the time it takes to do something like check out on website could be any huge range of possibilities seconds for all you knowor how much rainfall in given day againthere' an infinite amount of precision there so that' an example of continuous data to recapnumerical data is something you can measure quantitatively with numberand it can be either discretewhere it' integer-based like an event countor continuouswhere you can have an infinite range of precision available to that data