Hey All,
I have 2 databases,
First: Contains a column of start date and end date
Second: Contains a column of date and value
I want to find the result in column C in the first database (column of the result) using the DAX function
The sum of the value of all major dates from start date and major from end date.
In Excel it is possible to do this in SUMIFS but how do I do it in the DAX function?
Attaches the example,
Thank you
I have 2 databases,
First: Contains a column of start date and end date
Second: Contains a column of date and value
I want to find the result in column C in the first database (column of the result) using the DAX function
The sum of the value of all major dates from start date and major from end date.
In Excel it is possible to do this in SUMIFS but how do I do it in the DAX function?
Attaches the example,
Start Date | End Date | Result | Date | Value | |||
06/04/2020 | 11/05/2020 | 1,516 | 24/02/2021 | 26,092 | |||
14/10/2020 | 08/11/2020 | - | 07/07/2019 | 36,990 | |||
14/04/2019 | 18/05/2019 | - | 28/12/2020 | 35,586 | |||
04/03/2019 | 09/03/2019 | - | 27/12/2019 | 21,272 | |||
08/04/2020 | 24/04/2020 | 1,516 | 13/06/2019 | 18,555 | |||
10/02/2020 | 28/03/2020 | - | 20/08/2019 | 11,049 | |||
11/11/2020 | 30/11/2020 | 34,879 | 11/08/2019 | 30,908 | |||
10/11/2020 | 10/12/2020 | 34,879 | 28/02/2021 | 29,489 | |||
22/03/2020 | 23/04/2020 | 1,516 | 20/12/2019 | 38,344 | |||
02/03/2019 | 09/03/2019 | - | 26/12/2020 | 5,592 | |||
19/10/2019 | 27/10/2019 | - | 01/07/2020 | 18,256 | |||
27/03/2020 | 09/04/2020 | - | 04/09/2019 | 46,605 | |||
27/01/2021 | 17/02/2021 | - | 19/01/2020 | 23,530 | |||
04/05/2020 | 19/06/2020 | 33,684 | 18/12/2019 | 48,177 | |||
30/01/2021 | 10/03/2021 | 100,798 | 25/08/2019 | 34,663 | |||
08/11/2019 | 13/11/2019 | - | 02/08/2019 | 10,881 | |||
16/04/2019 | 13/05/2019 | - | 18/03/2019 | 47,711 | |||
23/02/2020 | 16/03/2020 | - | 13/04/2020 | 1,516 | |||
25/11/2020 | 06/12/2020 | 34,879 | 28/07/2020 | 44,738 | |||
11/12/2019 | 31/12/2019 | 107,793 | 04/09/2020 | 35,446 | |||
31/03/2019 | 06/05/2019 | - | 29/11/2020 | 34,879 | |||
21/02/2019 | 29/03/2019 | 47,711 | 16/06/2020 | 33,684 | |||
05/06/2019 | 40,183 | ||||||
27/02/2021 | 45,217 | ||||||
Thank you