Discrete Data

If we look at the discrete meaning, it is the type of data which refers to countable, individualized items. But these items are un-divisible and only exist in units. Discrete variables have a limited number of values. In other words, they are finite. The main characteristic of discrete data is that it is “measurable” or countable”. Discrete data can easily be visualized with the help of histograms, bar graphs and other methods. Discrete data contains a wide range of other data types as well. For example, it handles qualitative data and ordinal data. Moreover, discrete data, for example, the letter grading system, does not have to be in number all the time. Discrete data also have limited granularity, and the users can only divide it into the smallest units.

## Discrete Data vs. Continuous Data: What Is the Difference Between Discrete and Continuous Data?

Discrete data and continuous data are two types of data used in statistics and research. Learn about their key differences, the pros and cons of each, and when you should use each type of data.