Earn a 50% discount on the DP-600 certification exam by completing the Fabric 30 Days to Learn It challenge.
Hi,
I have a measure that counts the total per account and works well when using it in a matrix as it was built for this purpose.
But I do need this same count to be part of a counting category, so I just tried to copy the measure code into a new column on the table but is not working in the same way. Is it related probably to the different context I have in the matrix visual than in the table context?
Thanks,
MR
Solved! Go to Solution.
Hey @mario_ruiz ,
unfortunately it's no just copy and paste to create a calculated column based on the DAX that is used for a measure.
Indeed, this is due to the different context. A calculated column starts without a filter context but with a row context. A measure starts with a filter context. You can transform a row context by using CALCULATE this is called context transition, but you can not transform a filter context into a row context.
This does not mean that there never is a row context when creating a measure.
Nevertheless, you also have to be aware that a calculated column will only be "recalculted" during edit and a data refresh. This means the values will not change when users start interacting with the data.
Hopefully, this helps to tackle your challenge.
Regards,
Tom
Hey @mario_ruiz ,
unfortunately it's no just copy and paste to create a calculated column based on the DAX that is used for a measure.
Indeed, this is due to the different context. A calculated column starts without a filter context but with a row context. A measure starts with a filter context. You can transform a row context by using CALCULATE this is called context transition, but you can not transform a filter context into a row context.
This does not mean that there never is a row context when creating a measure.
Nevertheless, you also have to be aware that a calculated column will only be "recalculted" during edit and a data refresh. This means the values will not change when users start interacting with the data.
Hopefully, this helps to tackle your challenge.
Regards,
Tom
User | Count |
---|---|
106 | |
86 | |
81 | |
73 | |
71 |
User | Count |
---|---|
112 | |
100 | |
98 | |
72 | |
66 |