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Error handling examples in Power Query

Learn practical Power Query Error handling examples with M code, UI steps, common mistakes, FAQs and copy-ready transformation patterns.

Updated 2026-06-125 practical examplesCopy-ready M code

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When to use this Power Query pattern

Use this pattern when the same data preparation step needs to happen every time a file, table or report refreshes.

Syntax or pattern

Table.ReplaceErrorValues(Source, {{"Sales", 0}})

Typical UI steps

  1. Open Power Query Editor.
  2. Select the relevant column or query.
  3. Apply the transformation from the ribbon or formula bar.
  4. Review the generated step.
  5. Check data types and row counts before loading.
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5 practical examples

1

Use Error handling in a sales report

This example shows how to use Error handling when preparing a sales report.

Table.ReplaceErrorValues(Source, {{"Sales", 0}})

Use this pattern when the sales report needs a repeatable transformation instead of manual cleanup.

2

Use Error handling in a customer list

This example shows how to use Error handling when preparing a customer list.

Table.ReplaceErrorValues(CleanSource, {{"Amount", 0}})

Use this pattern when the customer list needs a repeatable transformation instead of manual cleanup.

3

Use Error handling in a inventory export

This example shows how to use Error handling when preparing a inventory export.

Table.ReplaceErrorValues(Inventory, {{"Units", 0}})

Use this pattern when the inventory export needs a repeatable transformation instead of manual cleanup.

4

Use Error handling in a monthly dashboard

This example shows how to use Error handling when preparing a monthly dashboard.

Table.ReplaceErrorValues(ReportData, {{"Revenue", 0}})

Use this pattern when the monthly dashboard needs a repeatable transformation instead of manual cleanup.

5

Use Error handling in a operations tracker

This example shows how to use Error handling when preparing a operations tracker.

Table.ReplaceErrorValues(Tracker, {{"Hours", 0}})

Use this pattern when the operations tracker needs a repeatable transformation instead of manual cleanup.

Common mistakes to avoid

  • Replacing all errors without understanding why they happened.
  • Hiding data-quality issues that should be fixed at the source.
  • Not keeping an audit step before removing or replacing errors.

Related Power Query examples

🔄 Replace errors🔄 Remove columns🔄 Rename columns🔄 Change data types🔄 All Power Query examples

FAQ

When should I use Error handling in Power Query?

Use Error handling when the transformation should be repeatable every time the data refreshes.

Can I do Error handling from the Power Query interface?

Usually yes. The interface creates the M code for many common transformations, and you can adjust it in the formula bar or Advanced Editor.

Should I edit the M code manually?

Edit M manually when the interface cannot express the pattern clearly, or when you need reusable logic, parameters or cleaner step names.