Arik Chakma
274082fd77
* refactor: clean to roadmap content * refactor: move shared helpers into scripts/lib
8 lines
763 B
Markdown
8 lines
763 B
Markdown
# Null Values
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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.
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Visit the following resources to learn more:
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- [@article@Python Null (None): Guide to Missing Values and NoneType](https://roadmap.sh/python/null#the-most-common-uses-of-none)
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- [@article@Null in Python: Understanding Python's NoneType Object](https://realpython.com/null-in-python/) |