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Hi,
I have someting of the kind :
| UserID | Name | DT_EVAL | Conformity |
| Markov67 | Andrei Markov | 2020-08-10 | conform |
| Markov67 | Andrei Markov | 2020-08-08 | not conform |
| Plekanec14 | Thomas Plekanec | 2020-08-10 | not conform |
I want my measure to return me : 2
Reason : I only want the last evaluation of every user.
Thanks
Solved! Go to Solution.
In the end, I went with a non-performing option, but it works great.
First of all, I created a calculated column :
@NumeroENAP - Perhaps use MAX to get the greatest date in the table and then FILTER down to that date, use DISTINCT and COUNTROWS, so like:
Measure = COUNTROWS(DISTINCT(FILTER('Table',[Date] = MAX('Table'[Date])))
| Conformity | Distinct User |
| Conform | 1 |
| Not conform | 2 |
But, with what you gave me, even if it gives me a table with what I need (raw), but I can't group it the way I want.
Am I clear enough?
Thanks!
@NumeroENAP - Wait, now I am confused, where did conform/not comform come from? Perhaps we should back-up. Please first check if your issue is a common issue listed here: https://community.powerbi.com/t5/Community-Blog/Before-You-Post-Read-This/ba-p/1116882
Also, please see this post regarding How to Get Your Question Answered Quickly: https://community.powerbi.com/t5/Community-Blog/How-to-Get-Your-Question-Answered-Quickly/ba-p/38490
The most important parts are:
1. Sample data as text, use the table tool in the editing bar
2. Expected output from sample data
3. Explanation in words of how to get from 1. to 2.
I need to have a measure that tells me exactly :
| UserID | Name | DT_EVAL | Conformity |
| Markov67 | Andrei Markov | 2020-08-10 | Conform |
| Markov67 | Andrei Markov | 2020-08-08 | Not conform |
| Plekanec14 | Thomas Plekanec | 2020-08-10 | Not conform |
Thanks!
// You have to have a Calendar table
// that's DISCONNECTED from the T table.
// Now, this is a measure that for a
// selected period of time from Calendar
// tells you the number of 'Conform'
// emps at their last evaluation BEFORE OR ON
// the last day of the selected period.
// I assume an employee is fully identified
// by UserID and that each employee can only
// have 1 entry on any specific day. This
// measure does fully respond to slicers, so
// be careful to correctly interpret the results.
[# Conform Emps] =
var __lastVisibleDate = MAX( Calendar[Date] )
var __empsWithConformAsLastEval =
FILTER(
VALUES( T[UserID] ),
var __latestRecordForUser =
CALCULATETABLE(
TOPN(1,
filter(
T,
T[DT_EVAL] <= __lastVisibleDate
),
T[DT_EVAL],
DESC
)
)
var __conformityIsConform =
NOT ISEMPTY(
FILTER(
__latestRecordForUser,
T[Conformity] = "conform"
)
)
return
__conformityIsConform
)
return
COUNTROWS( __empsWithConformAsLastEval )
In the end, I went with a non-performing option, but it works great.
First of all, I created a calculated column :
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| 17 | |
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| 5 |