When looking at a set of numbers, they are typically discrete (countable) variables or continuous (measurable) variables. We can compare discrete and continuous data by looking at how water comes out of a tap. Continuous random variables explained. Point and line GIS data such as tree locations, rivers, and streets all fall into the category of discrete datasets. This data is known as, Discrete Data. Discrete Data vs. Discrete data only includes values that can only be counted in integers or whole numbers. It contains finite values, so subdivision isn’t possible. 0 Votes 1 Answer from the example about weight being continuous, I would like to clarify my understanding of the difference between discrete and continuous numerical data. How you study this data should differ based on which group it falls into. What is the difference between discrete and continuous data? Discrete Data. This will certainly affect how it is measured as well. So they cannot be broken down into decimal or fraction. Discrete data values being finite can even be predicted whereas, on the other hand, continuous data possess infinite values that cannot be predicted. Continuous Data. Discrete vs continuous data. We have not yet encountered data that could take any value within a defined range, known as, Continuous Data.. Discrete data is the type of quantitative data that relies on counts. The data we've looked at, throughout this course, have had a fixed range of values. A race can be timed to a millisecond. Definition of Discrete Data. Continuous random variable can be height, weight, length, mass, time, amounts and many more. Discrete Data can only take certain values. Your weight is not a specific fixed number. It is continuous because it is infinite. Comparing discrete and continuous data. Discrete vs Continuous data Sayed Maguire 1 year ago. Discrete data is geographic data that only occurs in specific locations. Vote Up Vote Down. 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