Discrete data provides a good understanding of the relationships between variables. It is also easier to analyze discrete data because it does not have as much variation.

Types of data include continuous, discrete and categoric. Classifying a variable as a particular type of data is important when considering how to present the data. Data can be presented in a ...

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.

The most important difference between the terms is that “continuous data” describes the type of information collected or entered into the study.

Learn the difference between discrete and continuous compounding and how they affect investment payoffs.