developer-roadmap/roadmaps/python-data-analysis/content/null@GidLncxwx7d1QzAOfHRLX.md

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.

Visit the following resources to learn more:

• @article@Python Null (None): Guide to Missing Values and NoneType
• @article@Null in Python: Understanding Python's NoneType Object