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Hi,
I have a data table with the following attributes:
| Country | End of Week | Total Sales |
| US | 1/1/2022 | 100 |
| Canada | 1/1/2022 | 150 |
| France | 1/1/2022 | 75 |
| US | 1/8/2022 | 40 |
| Canada | 1/8/2022 | 150 |
| France | 1/8/2022 | 60 |
| US | 1/8/2022 | 90 |
| Canada | 1/15/2022 | 80 |
| US | 1/15/2022 | 90 |
| France | 1/15/2022 | 100 |
I would like to be able to create a measure for standard deviation of the 'Total Sales' column that changes dynamically if I adjust the date range or country in a visual. How can I do this?
Thanks for your help and suggestions!!
Solved! Go to Solution.
Hi @jackj ,
Please try below steps:
1. create a measure with below dax formula
Standard Deviation of the Total Sales =
VAR cur_country =
SELECTEDVALUE ( 'Table'[Country] )
VAR max_date =
MAXX ( 'Table', [End of Week] )
VAR min_date =
MINX ( 'Table', [End of Week] )
VAR tmp =
FILTER (
ALL ( 'Table' ),
'Table'[Country] = cur_country
&& 'Table'[End of Week] >= min_date
&& 'Table'[End of Week] <= max_date
)
RETURN
CALCULATE ( STDEV.P ( 'Table'[Total Sales] ), tmp )
2. add some visuals like below
Please refer the attached .pbix file.
Best regards,
Community Support Team_Binbin Yu
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi @jackj ,
Please try below steps:
1. create a measure with below dax formula
Standard Deviation of the Total Sales =
VAR cur_country =
SELECTEDVALUE ( 'Table'[Country] )
VAR max_date =
MAXX ( 'Table', [End of Week] )
VAR min_date =
MINX ( 'Table', [End of Week] )
VAR tmp =
FILTER (
ALL ( 'Table' ),
'Table'[Country] = cur_country
&& 'Table'[End of Week] >= min_date
&& 'Table'[End of Week] <= max_date
)
RETURN
CALCULATE ( STDEV.P ( 'Table'[Total Sales] ), tmp )
2. add some visuals like below
Please refer the attached .pbix file.
Best regards,
Community Support Team_Binbin Yu
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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