What is replacing values during transformation?

< 1 min read

Replacing values during transformation means substituting specific data with new or standardized values.
In my project, null or blank city names were replaced with “Unknown”.
Misspelled product names like “iPhon” were corrected to “iPhone”.
Negative discounts were replaced with 0 to prevent calculation errors.
Status codes like “C” and “P” were mapped to “Completed” and “Pending”.
We used Power Query’s Replace Values or conditional logic for this.
It ensures consistency across the dataset for accurate reporting.
Replacements help meet business rules and KPI definitions.
This prevents errors in aggregation, filtering, or visualization.
So replacing values cleans and standardizes data for reliable dashboards.

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