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.

A dripping tap shows discrete data, because each individual drop can be counted. The data collected will simply show the number of drops. A gushing tap is an example of continuous data.

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.

Many people are tempted to collect continuous data and then convert it to discrete or attribute data. For example, you are collecting delivery time for each order.

Choosing the right type of chart helps you display discrete data more effectively. Discrete data consists of whole numbers that are counted rather than measured. For example, when you track items ...

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.