Earn the coveted Fabric Analytics Engineer certification. 100% off your exam for a limited time only!
Hi All,
I wonder if you maybe able to help with a calc or calcs for the following requirement. I want to try and make an output column using dax which will allow me to populate a total value of a column across a date range and then subtract from that total value when data present to do so. I have the following data:
Date | Name | Value |
01/01/2021 | ||
01/04/2021 | ||
01/07/2021 | ||
01/10/2021 | A | 5 |
01/01/2022 | A | 2 |
01/04/2022 | A | 1 |
01/07/2022 | ||
01/10/2022 |
I would like to achieve the following:
Date | Name | Value | Output |
01/01/2021 | 8 | ||
01/04/2021 | 8 | ||
01/07/2021 | 8 | ||
01/10/2021 | A | 5 | 3 |
01/01/2022 | A | 2 | 1 |
01/04/2022 | A | 1 | 0 |
01/07/2022 | 0 | ||
01/10/2022 | 0 |
is this possbile using a dax calc? Any help really appreciated - many thanks
Solved! Go to Solution.
Hi, @senorbol
Please check the below picture and the sample pbix file's link down below, whether it is what you are looking for.
all measures are in the sample pbix file.
https://www.dropbox.com/s/tmwgxfr94ogdkmf/senorbol.pbix?dl=0
Hi, My name is Jihwan Kim.
If this post helps, then please consider accept it as the solution to help other members find it faster, and give a big thumbs up.
If this post helps, then please consider accepting it as the solution to help other members find it faster, and give a big thumbs up.
Hi, @senorbol
Please check the below picture and the sample pbix file's link down below, whether it is what you are looking for.
all measures are in the sample pbix file.
https://www.dropbox.com/s/tmwgxfr94ogdkmf/senorbol.pbix?dl=0
Hi, My name is Jihwan Kim.
If this post helps, then please consider accept it as the solution to help other members find it faster, and give a big thumbs up.
If this post helps, then please consider accepting it as the solution to help other members find it faster, and give a big thumbs up.
User | Count |
---|---|
47 | |
27 | |
23 | |
18 | |
15 |
User | Count |
---|---|
55 | |
34 | |
18 | |
17 | |
15 |