Data Profiling in Power BI - Excelerator BI

Data Profiling in Power BI

Today Microsoft released the October 2018 update of Power BI Desktop.  One of the fabulous new features that has been released is the ability to get a visual profile of your data in Power Query BEFORE you load the data.  This new feature is typical of the type of development effort Microsoft is investing in with its products.  MS is trying to make your life easier by helping you with the tools you need to do the job without you having to do everything yourself from scratch.

What is Data Profiling?

Data profiling is a process that data scientists use when wrangling with data.  In short, it is a bit like taking a step back and looking at the overall shape and structure of the data.  Kinda like looking at the overall forest rather than the trees.  Let me show you how it is done.

Turn on the Data Profiling Preview Feature

Data Profiling is (at October 2018) a preview feature.  Turn it on in the options settings

image image

You will have to restart Power BI for the changes to come into effect.

Power Query Online Training

Load and Profile Some Data

I am loading data from Adventure works.  I have 5 tables that make up the data model.  When I load the data using Power BI, I select Edit so it launches Power Query.

As a side note, it is very pleasing indeed to see Microsoft increasingly referring to the brand “Power Query” in the UI and conversations around the traps.  Personally I believe that Power Query can be as strong a brand name as R or Python, if only Microsoft will allow the brand for the technology to have a life of its own even though it lives inside of products like Power BI and Excel.

The first data profiling feature is very subtle.   Note the green bar in the image below.  If there are any errors in the columns, the percentage of errors will be indicated with a percentage of this bar being a different colour.  Red for error, grey for empty, green for OK.


The next thing I did was I went to the View menu (1) and turned on Column Distribution (2) and Column Quality (3) as shown below.  Then something wonderful happens – look at the data profiling information show in 4 below.


The data profiling tools look at the first 1,000 rows in the preview data loaded an shows you the big picture of what the data “looks” like.

Currently the profiling tool only works on the top 1000 rows of data.  It also takes some time to prepare the profile of the columns (as could be expected), however the benefits of getting this stuff right before moving on far outweigh the slower load times (IMO).  I would love to see an option to profile the entire set of data for one or more columns.  I am sure this will come.

What do you think of this new feature?  I love it.

13 thoughts on “Data Profiling in Power BI”

  1. I love this option too. No need to go for SSIS for data profiling. The ability to show for every column, the percentage numbers and the error % is perfect. I would love to see the profiling for entire data set.

  2. Thank you Matt and Imke.
    We are looking at tool sets for enduring solutions, and Power BI as a short term fix on some aspects.
    I will check out the link.

    Btw, I got Jan 19 version of Power. I Desktop but it has no Data Profiling, not dies it gave Preview Features. Quite odd, I think.

  3. Hi Anil,
    these profiling visuals are not customizable.
    Also, there is no real Regex-support in the M-language as one knows from other languages.
    But you can define all sorts of rules with the M-language. You could for example create an additional column that checks these rules for one or more fields within one row/record.

    This function has been provided by Erik Svensen and covers your specific scenario:

    (valueToCheck) =>
    l = Text.Length(valueToCheck) = 9,
    startsWithLetter = List.Contains({“A”..”Z”}, Text.Upper(Text.ToList(valueToCheck){0})),
    numbers = try Value.Type(Number.FromText(Text.Range(valueToCheck, 1, 8))) = type number otherwise false,
    result = l and startsWithLetter and numbers

    if you’re new to M-functions, check out this video on how to use this code in your solution:

  4. Hi Matt
    This is a brilliant post. I would like to know if I can specify DQ rules, ie, one field must be alphanumeric – 9 characters long, first letter beginning with a Capital letter – the other 8 characters are numbers

  5. Thanks Matt for the wonderful post. I am more interested in Data Profiling and how we can export the statistics. For now I can view the stats, but cant export to xml/xls.
    Is there any feature/way to export the stats?

  6. Talk about being just-in-time! I am just wrangling data using dplyr and ggplot for my coursework assignment. And then Matt’s email arrives.

    It was like a cool breeze on your face. So easy to profile the data using PowerBI.

    Thank you so much for the timely tip.

  7. Awesome. The pace at which Microsoft is bringing about new features is noteworthy. And they are all meant to make the life of the business user easy.

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