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Hello people,
How can I deal with the following situation? I have Table1 that has all the Groups that certain ID has gone through. The Table2 has the quantity of distinct Groups that the ID has gone through.
For example, ID=13 from Table1, we can see that it has made 4 group change (G-H-G-A), but we can say that it went through only 3 groups, (G-H-A) and that's what Table2 say to us.
Let's suppose that this table is always updated with new IDs.
So, how can I count the Groups from IDs that have a Changed Group > 1 and count only the group in the oldest Date? So, in this hypothetical case, we would count only the oldest groups from ID 10, 13 and 20.
I am very grateful for your attention.
Solved! Go to Solution.
Hi @Mentzer ,
Here I suggest you to try this code to create a calculated column.
Count Group in Oldest Date =
VAR _Oldest_Date =
CALCULATE (
MIN ( Table1[Date] ),
FILTER ( Table1, Table1[ID] = EARLIER ( Table2[ID] ) )
)
VAR _GROUPinOldestDate =
CALCULATE (
SELECTEDVALUE ( Table1[Group] ),
FILTER (
Table1,
Table1[ID] = EARLIER ( Table2[ID] )
&& Table1[Date] = _Oldest_Date
)
)
VAR _Count_Group =
CALCULATE (
COUNT ( Table1[Group] ),
FILTER (
Table1,
Table1[ID] = EARLIER ( Table2[ID] )
&& Table1[Group] = _GROUPinOldestDate
)
)
RETURN
IF ( Table2[Change Group] > 1, _Count_Group, BLANK () )
Result is as below.
Best Regards,
Rico Zhou
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi @Mentzer
Please try
Count Changed =
SUMX ( VALUES ( Table1[ID] ), IF ( [Changed Group] > 1, 1 ) )
In the followin part, the Changed Group is not recognized:
IF ( [Changed Group] > 1, 1 )
Hi @Mentzer ,
Here I suggest you to try this code to create a calculated column.
Count Group in Oldest Date =
VAR _Oldest_Date =
CALCULATE (
MIN ( Table1[Date] ),
FILTER ( Table1, Table1[ID] = EARLIER ( Table2[ID] ) )
)
VAR _GROUPinOldestDate =
CALCULATE (
SELECTEDVALUE ( Table1[Group] ),
FILTER (
Table1,
Table1[ID] = EARLIER ( Table2[ID] )
&& Table1[Date] = _Oldest_Date
)
)
VAR _Count_Group =
CALCULATE (
COUNT ( Table1[Group] ),
FILTER (
Table1,
Table1[ID] = EARLIER ( Table2[ID] )
&& Table1[Group] = _GROUPinOldestDate
)
)
RETURN
IF ( Table2[Change Group] > 1, _Count_Group, BLANK () )
Result is as below.
Best Regards,
Rico Zhou
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi @Mentzer
Count Changed =
SUMX ( VALUES ( Table1[ID] ), IF ( DISTINCTCOUNT ( Table1[Groups] ) > 1, 1 ) )
@Mentzer check this video on my YT channel and tweak it as you see fit How to get value of each product based on the most recent transaction - Power BI - YouTube
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Your solution is very good, sir. Thank you very much for the video.
But when performing the first formula with TOPN, it gives a memory error and it is not possible to perform the calculations. Is there any other solution?
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