What is text data cleaning?

< 1 min read

Text data cleaning means correcting and standardizing text fields before analysis.
We remove extra spaces, leading/trailing blanks, and special characters.
In my project, product names like “iPhone ” and “iPhone” were standardized.
We fixed inconsistent casing: “delivered” → “Delivered”.
Abbreviations like “NY” were replaced with full names “New York”.
Null or missing text values were replaced with “Unknown” or default labels.
Duplicate text entries were also identified and merged.
This ensures consistent joins, filtering, and grouping in reports.
Clean text improves dashboards and prevents user confusion.
So text cleaning makes textual data reliable and usable for analysis.

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