power-query-coaching

To clean messy exported reports in Power Query, you fill down blank cells, unpivot wide columns into a long format, and correct data types. This transforms inconsistent data into an analysis-ready table for Pivot Tables or Power BI.

Power Query fill down leaves blank cells when grouped data lacks a stable anchor column. You must sort by a reliable identifier first, then apply fill down to ensure merged or blank cells propagate correctly down the table.

The best way to fix date locale errors in Power Query is to use the type correction feature with locale-aware settings. This ensures dates and numbers parse correctly according to regional formats before loading into your workflow.

Yes, you can build reproducible ETL workflows in Power Query to clean multi-row headers. By promoting headers and removing top rows, the applied steps repeat automatically whenever you refresh the data source.

Yes, Power Query works with both Excel and Power BI for transforming inconsistent data structures. It provides the same UI-driven step logic to diagnose structural issues and output clean tables across both platforms.

You should not use Power Query for data transformation when dealing with highly nested JSON APIs requiring custom code, or when you need real-time streaming data processing outside the boundaries of scheduled Excel or Power BI refreshes.