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Anonymous
Not applicable

Categorize data based on column value

Hi, 

 

Kinda simple question but i just cant figure out how to achieve it. Basicly my data looks like following: 

Date - Denomination - Quantity - X - Y - Z

I want to group the data so that all rows where denomination is same is grouped togeter. Bellow is image from Apple Numbers that achieves just that: 

Näyttökuva 2019-7-4 kello 9.20.29.png

 

I assume that similar grouping would be possible in PowerBi but just cant make it happen. I tried to select the "Denomination" column and create new group but the end result just gives me all individual rows:

Näyttökuva 2019-7-4 kello 9.23.45.png

 

Thanks,

-Carl 

1 ACCEPTED SOLUTION
v-diye-msft
Community Support
Community Support

Hi @Anonymous 

 

It seems the data in Denomination count column is text type, please change it to number related type.

Then use “New group”, you’ll get the categorized data:

0.png

If you’d like to calculate the Denomination counts by Denomination groups. Please add the below measure:

Measure = CALCULATE(SUM(Table1[Denomination. Count]),ALLEXCEPT(Table1,Table1[Denomination]))

01.png

Best regards,

Dina Ye

Community Support Team _ Dina Ye
If this post helps, then please consider Accept it as the solution to help the other members find it more
quickly.

View solution in original post

2 REPLIES 2
v-diye-msft
Community Support
Community Support

Hi @Anonymous 

 

It seems the data in Denomination count column is text type, please change it to number related type.

Then use “New group”, you’ll get the categorized data:

0.png

If you’d like to calculate the Denomination counts by Denomination groups. Please add the below measure:

Measure = CALCULATE(SUM(Table1[Denomination. Count]),ALLEXCEPT(Table1,Table1[Denomination]))

01.png

Best regards,

Dina Ye

Community Support Team _ Dina Ye
If this post helps, then please consider Accept it as the solution to help the other members find it more
quickly.

Hi @Anonymous 

 

If my above post helps, could you please consider Accept it as the solution to help the other members find it more quickly. thanks!

 

Best regards,

Dina Ye

Community Support Team _ Dina Ye
If this post helps, then please consider Accept it as the solution to help the other members find it more
quickly.

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