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Data Type Conversions with M in Power Query

Bryan
Power Query lets you perform a series of steps to clean & transform your Excel data. There are times when we want to do things that are not built in the user interface.
 This is possible with Power Query's programming language, which is M. One of the unique characteristics of M is it takes data types very seriously.

For example, if we try to concatenate or combine a text with a number, it will result in an error.

 So let us take a look what are our options for data type conversions in M.

Power Query lets you perform a series of steps to clean & transform your Excel data. There are times when we want to do things that are not built in the user interface.  This is possible with Power Query’s programming language, which is M. One of the unique characteristics of M is it takes data types very seriously. For example, if we try to concatenate or combine a text with a number, it will result in an error.  So let us take a look what are our options for data type conversions in M.

Key Takeaways

  • Essential for Accurate Analysis – Converting data types ensures correct calculations and logical operations in Power Query.

  • M Language Handles Conversions – Power Query uses M functions like Number.From, Text.From, and Date.From to change data types.

  • Automatic vs. Manual Conversion – Power Query often auto-detects data types, but manual conversion gives you greater control.

  • Use the ‘Changed Type’ Step Wisely – The automatically inserted step can be modified or removed to avoid unexpected results.

  • Combine Type Conversions with Error Handling – Pair conversions with try...otherwise statements to avoid breaking queries on bad data.

Data Type Conversions with M in Power Query

Let’s go through the steps in detail:

STEP 1: Select your data and turn it into an Excel Table by pressing the shortcut Ctrl + T or by going to Insert > Table

Data Type Conversions with M in Power Query

 

STEP 2: Go to Data > Get & Transform > From Table (Excel 2016) or Power Query > Excel Data > From Table (Excel 2013 & 2010)

Excel 2016:

 Merge Columns Using Power Query

Excel 2013 & 2010:

from table

 

STEP 3: This will open up the Power Query Editor.

Go to Add Column > Add Custom Column

We want to combine the Financial Year (Number) and Sales Qtr (Text):

Data Type Conversions with M in Power Query

 

STEP 4: Let us create a simple M expression to combine the Financial Year and the Sales Quarter.

In the New column name text box, type Financial Quarter

In the Custom column formula, type in: Text.From([FINANCIAL YEAR])&” “&[SALES QTR]

The main point here is we are doing the following steps:

  • We are using the Text.From formula to convert the Financial Year into Text
  • Since Financial Year and Sales Qtr are now both texts, we can combine them together.
  • We can now use the Ampersand (&) to join them together.

Click OK.

Data Type Conversions with M in Power Query

Now you will see your changes take place.

Data Type Conversions with M in Power Query

 

STEP 5: Click Close & Load from the Home tab and this will open up a brand new worksheet in your Excel workbook with the updated values.

Data Type Conversions with M in Power Query

Congratulations! You have used a M formula for data conversions!

Data Type Conversions with M in Power Query

There are a lot more data conversion formulas you could use:

  • Date.FromText() – Converts text dates into the date data type
    • ex. Date.FromText(“Jan 12, 2017”)
  • Time.FromText() – Converts text times into the time data type:
    • ex. Time.FromText(“6:55 AM”)
  • Number.FromText() – Converts text numbers into the decimal data type:
    • ex. Number.FromText(“123.34”)
  • Currency.From() – Converts values into the currency data type:
    • ex. Currency.From(500.15)

 

Frequently Asked Questions

Why is data type conversion important in Power Query?
Because incorrect data types can lead to errors in calculations, sorting, filtering, and merging data.

What are some common M functions used for conversion?
Functions like Number.From, Text.From, Date.From, and Duration.From are commonly used for data type changes.

How do I know if my data type is correct?
You can check the icon next to each column header or review the “Changed Type” step in the Applied Steps pane.

Can Power Query handle type mismatches automatically?
Sometimes yes, but it’s best to explicitly define types to ensure consistent results, especially in complex transformations.

What happens if a value can’t be converted?
The query may return an error. You can use try [conversion] otherwise [default value] to handle conversion failures gracefully.

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Data Type Conversions with M in Power Query | MyExcelOnline


Bryan

Bryan Hong is an IT Software Developer for more than 10 years and has the following certifications: Microsoft Certified Professional Developer (MCPD): Web Developer, Microsoft Certified Technology Specialist (MCTS): Windows Applications, Microsoft Certified Systems Engineer (MCSE) and Microsoft Certified Systems Administrator (MCSA).

He is also an Amazon #1 bestselling author of 4 Microsoft Excel books and a teacher of Microsoft Excel & Office at the MyExecelOnline Academy Online Course.

See also  Create Index Columns Using Power Query

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