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Frequent Visitor

## Counting Old Dates for a Specific Condition

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.

1 ACCEPTED SOLUTION
Community Support

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.

6 REPLIES 6
Super User

Hi @Mentzer

Count Changed =
SUMX ( VALUES ( Table1[ID] ), IF ( [Changed Group] > 1, 1 ) )
Frequent Visitor

In the followin part, the Changed Group is not recognized:

IF ( [Changed Group] > 1, 1 )

Community Support

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.

Super User

Hi @Mentzer

Count Changed =
SUMX ( VALUES ( Table1[ID] ), IF ( DISTINCTCOUNT ( Table1[Groups] ) > 1, 1 ) )
Super User

@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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Frequent Visitor

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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