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Helper I

Help with measurement

Hello all,

The calculation i found online didn't work so i thought i will try here. I am new to power bi. I have 2 colums in my bi, one with time spent and another with diffrent operation type (maybe 15 diffrent items) and now i need to calculate sum but for each category. How can i do this?

I use the f formaula belowe but it didnt work. Thank you for your help!

`=CALCULATE(SUM(Table6[Value]),ALLEXCEPT(Table6,Table6[Category]))`

1 ACCEPTED SOLUTION
Community Support

Hi,

hello @Just2431 , based on your description, you just need to create the following measure

``Measure = CALCULATE(SUM('Table'[Time Spent]),ALLEXCEPT('Table','Table'[Operation]))``

Output

Best Regards!

Yolo Zhu

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

4 REPLIES 4
Helper I

@Greg sorry about that! this is the sample data

trying to achieve this

i am trying to sum all the diffrent categories from column 2. I think i need to use Pivit column but not sure what excatly I need to do. Thank you

Community Support

Hi,

hello @Just2431 , based on your description, you just need to create the following measure

``Measure = CALCULATE(SUM('Table'[Time Spent]),ALLEXCEPT('Table','Table'[Operation]))``

Output

Best Regards!

Yolo Zhu

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

Helper I

@v-xinruzhu-msft Thank you so much for your help!! it does what i wanted to do!! I used a similar measure but it didnt work becasue my "time spent" column was swet as text not number...

Super User

@Just2431 Sorry, having trouble following, can you post sample data as text and expected output?
Not really enough information to go on, please first check if your issue is a common issue listed here: https://community.powerbi.com/t5/Community-Blog/Before-You-Post-Read-This/ba-p/1116882

The most important parts are:
1. Sample data as text, use the table tool in the editing bar
2. Expected output from sample data
3. Explanation in words of how to get from 1. to 2.

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