Key Points Discrete data is qualitative data. Continuous data is quantitative data. Simply put, discrete values are finite, and continuous values are infinite. When it comes to Six Sigma, data is ...

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 Discrete data is categorical data, rather than continuous measurements. It can be treated as continuous data, but that depends on the measurements set. It allows you to quantify things ...

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.

Discrete data meanwhile shows the return in each individual period separately, typically each individual year’s performance although discrete months and quarters are also common.

In contrast — continuous data shows any value from a given range. Understanding the numerical data and the difference between discrete and continuous data might pose a challenge initially.

Discrete data meanwhile shows the return in each individual period separately, typically each individual year’s performance although discrete months and quarters are also common.