Null Values

Null values represent missing or undefined data within a dataset, signaling that a specific observation or entry is absent. In Python, this is typically represented by None, while libraries like pandas utilize NaN (Not a Number) to denote missing numeric information. Handling these values is a fundamental step in data cleaning, as they must be identified and addressed to ensure that statistical calculations and machine learning models perform accurately.