Unpivot data quickly with Power Query [tutorial]

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Power Query (Get & Transform data in Excel 2016) is a must have tool, if you wrangle with data every day. Here is a quick introduction, in case you are new.

Let’s learn how to use Power Query to unpivot data.

Essentially, we are trying to go from left to right in this picture.

unpivot-data-using-power-query

Doing something like this thru either formulas or VBA can be very complex. But Power Query can get you unpivoted data in just a few clicks. Sounds interesting? Read on.

Tutorial: Unpivot data using Power Query

Step 1: Set up your pivoted data as a table

If you want Power Query to work with data in Excel, it must be in table form. So select any cell in the pivoted data and press CTRL+T to turn it in to a table.

At this stage, we get this:

set-up-pivot-data-as-table

Step 2: Load table data in to Power Query

While keeping the selection inside pivot data, go to Power Query ribbon (or Get & Transform area of Excel 2016 data ribbon) and click on “from Table” button.

add-table-data-to-power-query

This will take your table data and load it in to a new query in Power Query. It looks like this:

initial-state-of-our-data-grand-totals-to-be-removed

Step 3: Get rid of grand totals

When unpivoting data, we don’t need the grand totals. To remove them,

  1. Select the grand total column
  2. Click on “Remove Columns” button in query editor (Power Query window)
  3. Click on “Remove Rows” button, select remove bottom rows option.
  4. Enter the number of rows as 1

At this stage, grand total column & row are gone. We end up with this:

data-after-grand-totals-gone

 

Step 4: Fill down the missing region names

If your pivot table has null / blank values in the first column, you can fill them with values from above cells using the Fill option of query editor. Select the Region column and click on the Fill button from transform ribbon. See this demo:

fill-down-power-query-demo

Step 5: Remove sub-total rows by filtering them away

Click on the filter button next to region and filter away all the sub-total columns too. We don’t need them for unpivoting.

filterin-away-sub-totals

Step 6: Unpivot the data

Now that our data is in correct shape, let’s unpivot.

Select the last 3 columns and click on Unpivot columns button in Transform ribbon.

unpivot-data

And we get the unpivoted data.

final-unpivot-data

You can load this data to Excel or to your data model for further processing.

Download example Power Query workbook

Please click here to download the example workbook for this tutorial. To examine the query settings and power query steps,

  1. Open the workbook
  2. Go to Power Query ribbon (or Data ribbon in Excel 2016) and click on Workbook Queries Show Pane option.
  3. Right click on “Unpivot Data” query and choose edit
  4. This opens the query editor. You can examine the steps in the query steps pane to right.

Learn more about Power Query / Get & Transform data:

Power Query (or less intimidating Get & Transform data in Excel 2016) is an impressive technology to help you deal with common data problems easily. If you are an analyst who relies on Excel, learning Power Query is going to make you super productive. Check out below tutorials to get started with this amazing feature.

How do you unpivot your data?

I used to write VBA programs to unpivot my data. But now that I have Power Query, I use it anytime I need unpivoting.

What about you? How do you unpivot your data? Please share your thoughts and tips in the comments section.

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11 Responses to “Who is the most consistent seller? [BYOD]”

  1. Hui... says:

    The Date column in the sample file is Text not Dates

  2. Great Chandoo. Keep it up, Looking forward more from BYOD..

  3. gayani says:

    Thanks

  4. Frank Tonsen says:

    With Excel 2013 the pivot table could be connected to the data model which provides a distinct count.

  5. Mak says:

    This will do for invoice count
    =COUNTIF(F:F,H12)
    Instead of
    =COUNTIFS(sales[SELLER],$H12)

  6. Alejandro says:

    Excellent document. How did you make the last graphic? Witch app. Thanks for answer.

  7. Chris says:

    Can someone tell me what =countif(sales[date],sales[date]) is counting? The value is 19. Its found in the =SUMPRODUCT(IF(sales[SELLER]=H12,1/COUNTIFS(sales[SELLER],H12,sales[date],sales[date]),0))

    • Vândalo says:

      Hi Chris,

      =countif(sales [date],sales[date]) function is counting the unique dates in the table.

      Vândalo

  8. Nguyen says:

    Excellent document!

    Can you explain more about the calculation on Weighted consistency? More specific the small number is 0,00001 ?

    How come the number should be smaller if there is more sellers?

  9. TS says:

    Hi,

    Not understood this formula: {=SUMPRODUCT(IF(sales[SELLER]=H12,1/COUNTIFS(sales[SELLER],H12,sales[date],sales[date]),0))}

    Please explain.

    Thanks.

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