# Data Discretization | Lansa

Data discretization involves dividing continuous data into distinct intervals or categories. This process simplifies complex data sets, making them easier to analyze and interpret. Techniques such as equal width or equal frequency binning are commonly used to discretize data. By reducing the number of unique values, [**data discretization**](https://lansa.com/blog/system-integration/data-and-process-integration/data-transformation/) facilitates pattern recognition, classification, and decision-making in various fields such as machine learning, statistics, and data mining. If you want to learn more, please visit our website.