Discrete vs. Continuous Data: Real-World Scenarios When choosing between discrete and continuous data, it’s important to consider the nature of your data—what it means, how it’s collected ...

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

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.

In a split-sample contingent valuation study of willingness to pay (WTP) for food safety improvements, the dichotomous choice (DC) elicitation method consistently generated much larger estimates of ...

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.

Data analysis is a fundamental process in any project. However, data can be lumped into different types, with categorical and continuous data seeming almost opposed at first glance. That said ...