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.

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.

Different types of data need to be presented in appropriate ways. Learn to present types of data with BBC Bitesize. For students between the ages of 11 and 14.

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 ...

Modeling bimodal behavior in discrete data is useful for various purposes, from comparing shapes of different samples (or survey questions) to predicting future ratings by new raters. The Poisson ...

Different types of data need to be presented in appropriate ways. Learn to present types of data with BBC Bitesize. For students between the ages of 11 and 14.