Learning the difference between discrete and continuous data and the use cases can seem overwhelming. However, data-driven insights are playing an important role in business success.

Distinguishing between discrete vs. continuous data and situations that call for each data type is important in ensuring you get your desired results.

Key Points Attribute data are characteristics that aren’t readily quantified by hard numbers. It is a discrete data type. Making use of it requires more data on hand, as well as a robust method ...

Unstructured data is created at an incredible rate each day and with the advent of artificial intelligence and machine learning tools to gather, process, analyze and report insights from ...

Upfront, discrete data capture in synoptic reporting fails when pathologists choose a response not associated with discrete data. We sought to determine the factors associated with this event.

In political science, data with heterogeneous units are used in many studies, such as those involving legislative proposals in different policy areas, electoral choices by different types of voters, ...