Dirty data

Last updated Jun 5, 2023

Data that is incomplete, incorrect, or irrelevant to the problem you are trying to solve.

Opposite:

• Clean data

Types:

• Typos and spelling errors
• Inconsistent formatting
• Duplicates
• Wrong labeling