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.

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

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 ...

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.

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 ...

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