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avatar456
Helper I
Helper I

Row into column / filtering column

Hello, I'm trying to filter my table with DAX. My data looks like the following:

 

NameTypeValue
Person 1Height187 cm
Person 1Weight76 kg
Person 2Height165 cm
Person 2Weight63 kg

 

And I would like to become the following:

 

NameWeightHeight
Person 1187 cm76 kg
Person 2165 cm63 kg

 

Any suggestions?

 

Thanks!

 

1 ACCEPTED SOLUTION
parry2k
Super User
Super User

@avatar456 use matrix visual:

 

Name on rows

Type on columns

Value on Values and aggregation should be min or max

 

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2 REPLIES 2
parry2k
Super User
Super User

@avatar456 use matrix visual:

 

Name on rows

Type on columns

Value on Values and aggregation should be min or max

 

Follow us on LinkedIn and YouTube.gif to our YouTube channel

I would  Kudos if my solution helped. 👉 If you can spend time posting the question, you can also make effort to give Kudos to whoever helped to solve your problem. It is a token of appreciation!

 

Visit us at https://perytus.com, your one-stop shop for Power BI-related projects/training/consultancy.

 



Subscribe to the @PowerBIHowTo YT channel for an upcoming video on List and Record functions in Power Query!!

Learn Power BI and Fabric - subscribe to our YT channel - Click here: @PowerBIHowTo

If my solution proved useful, I'd be delighted to receive Kudos. When you put effort into asking a question, it's equally thoughtful to acknowledge and give Kudos to the individual who helped you solve the problem. It's a small gesture that shows appreciation and encouragement! ❤


Did I answer your question? Mark my post as a solution. Proud to be a Super User! Appreciate your Kudos 🙂
Feel free to email me with any of your BI needs.

Thanks, this is working. But now I would like to add other columns to this matrix visual (calculations) but since these columns are not real columns of my dataset, I cannot use them in an IF statement. Any idea how I could, for example, add a column that calculates whether a person is overweight based on weight? Thanks for helping me out!

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