juniorData Processing
What is data cleaning?
Updated May 15, 2026
Short answer
Data cleaning is the process of fixing or removing incorrect, corrupted, or missing data.
Deep explanation
It involves handling missing values, removing duplicates, correcting inconsistencies, and standardizing formats to improve data quality.
Real-world example
Cleaning customer email lists before sending marketing campaigns.
Common mistakes
- Ignoring missing values or blindly deleting data.
Follow-up questions
- What techniques handle missing data?
- Why is data cleaning important?