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This is an example:
Date | System | Value |
09.07.2020 | 1st | 266471,4 |
10.07.2020 | 1st | 266471,4 |
11.07.2020 | 1st | 266471,4 |
12.07.2020 | 1st | 266471,4 |
13.07.2020 | 1st | 266471,4 |
14.07.2020 | 1st | 266471,4 |
15.07.2020 | 1st | 266471,4 |
16.07.2020 | 1st | 266471,4 |
17.07.2020 | 1st | 266471,4 |
18.07.2020 | 1st | 266471,4 |
19.07.2020 | 1st | 266471,4 |
20.07.2020 | 1st | 266471,4 |
21.07.2020 | 1st | 266471,4 |
22.07.2020 | 1st | 266471,4 |
23.07.2020 | 1st | 266471,4 |
24.07.2020 | 1st | 266471,4 |
25.07.2020 | 1st | 266471,4 |
26.07.2020 | 1st | 266471,4 |
27.07.2020 | 1st | 266471,4 |
28.07.2020 | 1st | 266471,4 |
08.07.2020 | 2nd | 263707,1 |
09.07.2020 | 2nd | 263707,1 |
10.07.2020 | 2nd | 263707,1 |
11.07.2020 | 2nd | 263707,1 |
12.07.2020 | 2nd | 263707,1 |
13.07.2020 | 2nd | 263707,1 |
14.07.2020 | 2nd | 263707,1 |
15.07.2020 | 2nd | 263707,1 |
16.07.2020 | 2nd | 263707,1 |
17.07.2020 | 2nd | 263707,1 |
18.07.2020 | 2nd | 263707,1 |
19.07.2020 | 2nd | 263707,1 |
20.07.2020 | 2nd | 263707,1 |
21.07.2020 | 2nd | 263707,1 |
22.07.2020 | 2nd | 263707,1 |
23.07.2020 | 2nd | 263707,1 |
24.07.2020 | 2nd | 263707,1 |
25.07.2020 | 2nd | 263707,1 |
26.07.2020 | 2nd | 263707,1 |
27.07.2020 | 2nd | 263707,1 |
28.07.2020 | 2nd | 263707,1 |
29.07.2020 | 2nd | 263707,1 |
30.07.2020 | 2nd | 263707,1 |
31.07.2020 | 2nd | 263707,1 |
01.08.2020 | 2nd | 86292,86 |
02.08.2020 | 2nd | 86292,86 |
07.08.2020 | 2nd | 86292,86 |
03.08.2020 | 2nd | 86292,86 |
04.08.2020 | 2nd | 86292,86 |
05.08.2020 | 2nd | 86292,86 |
06.08.2020 | 2nd | 86292,86 |
29.07.2020 | 1st | 266471,4 |
30.07.2020 | 1st | 266471,4 |
31.07.2020 | 1st | 266471,4 |
01.08.2020 | 1st | 83528,57 |
02.08.2020 | 1st | 83528,57 |
03.08.2020 | 1st | 83528,57 |
04.08.2020 | 1st | 83528,57 |
05.08.2020 | 1st | 83528,57 |
06.08.2020 | 1st | 83528,57 |
07.08.2020 | 1st | 83528,57 |
Expected result without filters:
1st | 350000 |
2nd | 350000 |
That means that for each system with have 2 months 7 and 8 and for each month we get first value. E.g.
1st system - july 266471,4286 and august 83528,57143
2nd system - july 86292,85714 and august 263707,1429
If i use slicer on a date for ex only july it should show:
1st system - july 266471,4286
2nd system - july 86292,85714
I think it should calculate first value for selected month. Thank you for any help.
Hi @seinomozh
I found the following solution:
First Value of Month =
CALCULATE(
MIN('Table'[Value]),
FILTER(
ALLEXCEPT('Table','Table'[System]),
MIN('Table'[Date])='Table'[Date]
)
)
With kind regards from the town where the legend of the 'Pied Piper of Hamelin' is at home
FrankAT (Proud to be a Datanaut)
This is great, but it is not summarize if remove month. Idea is to create a measure that can show you proper value per choosen month. So if i choose 2 month (jul+aug) it should be 350K per system.
Hi @seinomozh,
You can try to use the below formula to use system category and date filter to find out the minimum date and correspond value:
Measure =
VAR minDate =
CALCULATE (
MIN ( 'Table'[Date] ),
ALLSELECTED ( 'Table' ),
VALUES ( 'Table'[Date] ),
VALUES ( 'Table'[System] )
)
RETURN
CALCULATE (
MIN ( 'Table'[Value] ),
FILTER ( ALLSELECTED ( 'Table' ), [Date] = minDate ),
VALUES ( 'Table'[System] )
)
Regards,
Xiaoxin Sheng
Hello @seinomozh ,
From what I could understand from the description shared, following is the recreation of your scenario:
Sample Data Table:
Date | System | Value |
9-Jul-20 | 1st | 9 |
10-Jul-20 | 1st | 10 |
11-Jul-20 | 1st | 11 |
12-Jul-20 | 1st | 12 |
13-Jul-20 | 1st | 13 |
14-Jul-20 | 1st | 14 |
15-Jul-20 | 1st | 15 |
16-Jul-20 | 1st | 16 |
17-Jul-20 | 1st | 17 |
18-Jul-20 | 1st | 18 |
19-Jul-20 | 1st | 19 |
20-Jul-20 | 1st | 20 |
21-Jul-20 | 1st | 21 |
22-Jul-20 | 1st | 22 |
23-Jul-20 | 1st | 23 |
24-Jul-20 | 1st | 24 |
25-Jul-20 | 1st | 25 |
26-Jul-20 | 1st | 26 |
27-Jul-20 | 1st | 27 |
28-Jul-20 | 1st | 28 |
8-Jul-20 | 2nd | 8 |
9-Jul-20 | 2nd | 9 |
10-Jul-20 | 2nd | 10 |
11-Jul-20 | 2nd | 11 |
12-Jul-20 | 2nd | 12 |
13-Jul-20 | 2nd | 13 |
14-Jul-20 | 2nd | 14 |
15-Jul-20 | 2nd | 15 |
16-Jul-20 | 2nd | 16 |
17-Jul-20 | 2nd | 17 |
18-Jul-20 | 2nd | 18 |
19-Jul-20 | 2nd | 19 |
20-Jul-20 | 2nd | 20 |
21-Jul-20 | 2nd | 21 |
22-Jul-20 | 2nd | 22 |
23-Jul-20 | 2nd | 23 |
24-Jul-20 | 2nd | 24 |
25-Jul-20 | 2nd | 25 |
26-Jul-20 | 2nd | 26 |
27-Jul-20 | 2nd | 27 |
28-Jul-20 | 2nd | 28 |
29-Jul-20 | 2nd | 29 |
30-Jul-20 | 2nd | 30 |
31-Jul-20 | 2nd | 31 |
1-Aug-20 | 2nd | 1 |
2-Aug-20 | 2nd | 2 |
7-Aug-20 | 2nd | 7 |
3-Aug-20 | 2nd | 3 |
4-Aug-20 | 2nd | 4 |
5-Aug-20 | 2nd | 5 |
6-Aug-20 | 2nd | 6 |
29-Jul-20 | 1st | 29 |
30-Jul-20 | 1st | 30 |
31-Jul-20 | 1st | 31 |
1-Aug-20 | 1st | 1 |
2-Aug-20 | 1st | 2 |
3-Aug-20 | 1st | 3 |
4-Aug-20 | 1st | 4 |
5-Aug-20 | 1st | 5 |
6-Aug-20 | 1st | 6 |
7-Aug-20 | 1st | 7 |
Measure:
First Value =
VAR _MinDate = MIN('Table'[Date])
VAR _FirstValue = CALCULATE(FIRSTNONBLANK('Table'[Value],TRUE()),'Table'[Date] = _MinDate)
RETURN
_FirstValue
Result:
Hope this helps.
Cheers!
Vivek
If it helps, please mark it as a solution. Kudos would be a cherry on the top 🙂
If it doesn't, then please share a sample data along with the expected results (preferably an excel file and not an image)
Blog: vivran.in/my-blog
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Hi @vivran22
Not exactly. It calculates only first value for each system without date filter. E.g. for july only OR july and aug - same result.
Should be 350K for each row without filter. Below result works only for july dates.
Best guess - to create new column that gives "1" for first day per month for each system. Like:
Date | System | Value | New column |
09.07.2020 | 1st | 266471,4 | 1 |
10.07.2020 | 1st | 266471,4 | |
11.07.2020 | 1st | 266471,4 | |
12.07.2020 | 1st | 266471,4 | |
13.07.2020 | 1st | 266471,4 | |
14.07.2020 | 1st | 266471,4 | |
15.07.2020 | 1st | 266471,4 | |
16.07.2020 | 1st | 266471,4 | |
17.07.2020 | 1st | 266471,4 | |
18.07.2020 | 1st | 266471,4 | |
19.07.2020 | 1st | 266471,4 | |
20.07.2020 | 1st | 266471,4 | |
21.07.2020 | 1st | 266471,4 | |
22.07.2020 | 1st | 266471,4 | |
23.07.2020 | 1st | 266471,4 | |
24.07.2020 | 1st | 266471,4 | |
25.07.2020 | 1st | 266471,4 | |
26.07.2020 | 1st | 266471,4 | |
27.07.2020 | 1st | 266471,4 | |
28.07.2020 | 1st | 266471,4 | |
29.07.2020 | 1st | 266471,4 | |
30.07.2020 | 1st | 266471,4 | |
31.07.2020 | 1st | 266471,4 | |
01.08.2020 | 1st | 83528,57 | 1 |
02.08.2020 | 1st | 83528,57 | |
03.08.2020 | 1st | 83528,57 | |
04.08.2020 | 1st | 83528,57 | |
05.08.2020 | 1st | 83528,57 | |
06.08.2020 | 1st | 83528,57 | |
07.08.2020 | 1st | 83528,57 | |
08.07.2020 | 2nd | 263707,1 | 1 |
09.07.2020 | 2nd | 263707,1 | |
10.07.2020 | 2nd | 263707,1 | |
11.07.2020 | 2nd | 263707,1 | |
12.07.2020 | 2nd | 263707,1 | |
13.07.2020 | 2nd | 263707,1 | |
14.07.2020 | 2nd | 263707,1 | |
15.07.2020 | 2nd | 263707,1 | |
16.07.2020 | 2nd | 263707,1 | |
17.07.2020 | 2nd | 263707,1 | |
18.07.2020 | 2nd | 263707,1 | |
19.07.2020 | 2nd | 263707,1 | |
20.07.2020 | 2nd | 263707,1 | |
21.07.2020 | 2nd | 263707,1 | |
22.07.2020 | 2nd | 263707,1 | |
23.07.2020 | 2nd | 263707,1 | |
24.07.2020 | 2nd | 263707,1 | |
25.07.2020 | 2nd | 263707,1 | |
26.07.2020 | 2nd | 263707,1 | |
27.07.2020 | 2nd | 263707,1 | |
28.07.2020 | 2nd | 263707,1 | |
29.07.2020 | 2nd | 263707,1 | |
30.07.2020 | 2nd | 263707,1 | |
31.07.2020 | 2nd | 263707,1 | |
01.08.2020 | 2nd | 86292,86 | 1 |
02.08.2020 | 2nd | 86292,86 | |
03.08.2020 | 2nd | 86292,86 | |
04.08.2020 | 2nd | 86292,86 | |
05.08.2020 | 2nd | 86292,86 | |
06.08.2020 | 2nd | 86292,86 | |
07.08.2020 | 2nd | 86292,86 |
Than easiest way - CALCULATE(SUM('Table'[Value]),'Table'[New_Column]=1)
I did not understand the logic of 350k? How did you arrive at this value?
Cheers!
Vivek
Blog: vivran.in/my-blog
Connect on LinkedIn
Follow on Twitter
Hi @vivran22
I explained this in my first post 🙂
Expected result without filters:
1st | 350000 |
2nd | 350000 |
That means that for each system with have 2 months 7 and 8 and for each month we get first value. E.g.
1st system - july 266471,4286 and august 83528,57143
2nd system - july 86292,85714 and august 263707,1429
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