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Excel Power Query Tutorials

Microsoft Power Query for Excel accesses, cleans and transforms all that messy data and displays it in a way that Excel loves and can work with. You will be blown away by the data transformation potential of Power Query in Excel!
Here are the top things on what you can do with Power Query in Excel:

Consolidate Multiple Excel Workbooks Using Power Query

One of the most sought after query from the millions of Excel users around the world is:

How do I consolidate multiple Excel workbooks into one?

There are a couple of ways you can do this, using VBA or complex formulas but the learning curve is steep and out of reach for most Excel users.
Luckily with Power Query this consolidation task can be done in a couple of minutes!  That’s right, only a couple of minutes.
I show you how below…

Consolidate Multiple Excel Workbooks Using Power Query

Download excel workbookConsolidate-Multiple-Excel-Workbooks.xlsx

STEP 1: Create a New Folder on your Desktop or any directory and name it to whatever you like e.g. 2016 Sales
Move an Excel Workbook in this Folder that contains your Sales data e.g. January 2016.xlsx
move jan
STEP 2: Open a NEW Excel Workbook and go to Power Query > From File > From Folder
from folder
STEP 3: From the Folder dialogue box, click the Browse button
This will bring up the Browse for Folder dialogue box and you need to select the folder you created in Step 1 and press OK
browse dor folder
STEP 4: This will open up the Query Editor.
From in here you need to select the first 2 columns (hold down the CTRL key to select) and Right Click on the column heading and choose Remove Other Columns
remove other columns
STEP 5: You need to go to Add Column > Add Custom Column
add custom column
STEP 6: This will bring up the Add Custom Column dialogue box.
In here you need to name the new column E.G. Import, and within the Custom Column Formula you need to enter the following formula:

= Excel.Workbook([Content])

This will import the workbooks from within the Folder that you selected in Step 3
add custom column2
STEP 7: You now have a new column called Import.
Click on the Expand Filter and select the Data box only and press OK.  This will import the workbook from the folder
import expand
STEP 8: Click on the Expand Filter from the Import.Data column and select OK.  This imports all the columns’ data from within the workbook
expand import 2
data import
STEP 9: Now it is time to transform the data by making some cosmetic changes!
Remove the Content column by Right Clicking and choosing Remove
remove binary
STEP 10: Select the Import.Data.Column1 and filter out the CUSTOMER heading and press OK.  This will also remove the other column’s headers
remove column headings
STEP 11: Select the Date column and go to Transform > Data Type > Date
data type date
STEP 12: Select the Sales column and go to Transform > Data Type > Currency
data type currency
STEP 13: Rename the column headings to whatever you like by double clicking on the column header, renaming and pressing OK
column rename
STEP 14: Go to File > Close & Load.
close & load
This will put the data into a new worksheet within your workbook
new sheet
STEP 15: You can now Insert a Pivot Table to do your analysis by going to Insert > Pivot Table > New/Existing Worksheet
insert pivot table
Put the Months in the ROWS and the Sales $ in the VALUES area:
pivot table1


You can move similar workbooks into the Folder we created in Step 1, say for subsequent months eg. February 2016.xlsx, March 2016.xlsx etc
NB: The Excel Workbooks have to have the same format and number of columns as in the workbook we imported in Step 1
move subsequent months
STEP 17: In your Excel workbook, click on the imported data and this will open up the Workbook Queries pane (If this does not open, go to Power Query > Show Pane)
Click the Refresh button (or you can go to Table Tools > Query > Refresh)
refresh pane
STEP 18: This will import the February 2016.xlsx and March 2016.xlsx data into the Excel workbook and append it to January’s data
feb data
STEP 19: Now you can Refresh the Pivot Table and the new imported data will be reflected
updated pivot
Next month all you have to do is drop in the new month’s workbook into the 2016 Sales Folder and Refresh the Query & the Pivot Table to see the results!

Replicating Excel’s LEFT Function with M in Power Query

Power Query lets you perform a series of steps to 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.
Unfortunately not all of Excel’s formulas can be used in M.
For example, if we want to use the LEFT Excel Function, it is not supported in M.
But I have found a way for us to replicate the LEFT Function in M!

Replicating Excel’s LEFT Function with M in Power Query

Download excel workbookReplicating-Excels-LEFT-Function-with-M.xlsx

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
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:
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 get the first 3 characters of the Sales Month:
Power Query
STEP 4: Let us create a simple M expression to replicate the LEFT function in Excel.
In the New column name text box, type SALES MONTH (Shortened)
In the Custom column formula, type in: Text.Start(

From the Available columns choose SALES MONTH and Insert
Then finish off the formula by entering , 3) 
We now have build the following formula:

Text.Start([SALES MONTH], 3)

So lets quickly break down what we just did:

  • We are using the Text.Start formula to get the first X characters of the SALES MONTH column
  • We place in 3, to specify that we want the first 3 characters.

Click OK to confirm.
Power Query
Now you will see your changes take place.
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.
Power Query
Congratulations! You have used a M formula for replicating the LEFT function!
Power Query

Unpivot Data Using Excel Power Query

Power Query allows you to extract data from any source, clean and transform the data and then load it to another sheet within Excel, Power Pivot or the Power BI Designer canvas.
One of the best features is to Unpivot Columns.
What that does is transforms columns with similar characteristics (e.g. Jan, Feb, March…) and puts them in a unique column or tabular format (e.g. Month), which then allows you to do further analysis using Pivot Tables which was not possible before unpivoting.
Here is how this is done:

Unpivot Data Using Excel Power Query

Download excel workbookUnpivot.xlsx

STEP 1: Highlight your data and go to Power Query > From Table > OK
power query from table
STEP 2: This opens the Power Query editor and from here you need to select the columns that you want to unpivot
select column in editor
STEP 3: You then need to go to the Transform tab and select Unpivot Columns
unpivot columns power query
STEP 4: Go to the File tab and choose Close & Load
clos & load power query
STEP 5: This will load and open the unpivoted data into a new worksheet with your Excel workbook.  Now you can go crazy with your super analytical work, using Pivot Tables etc
unpivoted data

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