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Input Raw Data | ||
Hire Date | Name | Location |
10/29/2019 | A | AAA |
10/30/2019 | B | BBB |
3/5/2012 | C | CCC |
5/10/2018 | E | AAA |
6/7/2018 | F | BBB |
8/25/2017 | G | CCC |
9/13/2016 | H | AAA |
1/19/2020 | I | BBB |
2/21/2020 | I | CCC |
3/19/2020 | I | AAA |
3/9/2020 | I | BBB |
Desired Output1 | ||
Number of Headcount per Month as on 2020 | Headcount by month | |
Jan'20 | 8 | |
Feb'20 | 9 | |
Mar'20 | 11 |
@Anonymous ,
You can create a measure with the below DAX and use for this purpose
running headcount = CALCULATE(COUNT('Table (2)'[Name]), FILTER(ALL('Table (2)'), 'Table (2)'[Hire Date] <= MAX('Table (2)'[Hire Date])))
Regards,
Something like this? You can use date table to slice the data.
HeadCount = COUNTROWS( HireData )
Running Headcount =
VAR Result =
CALCULATE (
[HeadCount],
FILTER ( ALL ( Dates ), Dates[Date] <= MAX ( Dates[Date] ) )
)
RETURN
IF ( [HeadCount] > 0, Result, BLANK () )
HI @Anonymous ,
See if this helps.
Watch this video from 5:38 onwards.
https://www.youtube.com/watch?v=rsx43g7TBBs
Regards,
Harsh Nathani
Appreciate with a Kudos!! (Click the Thumbs Up Button)
Did I answer your question? Mark my post as a solution!
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