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Mentzer
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.

 

Mentzer_1-1664811966794.png

 

 

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.

 

Mentzer_2-1664812435908.png

 

I am very grateful for your attention.

 

 

1 ACCEPTED 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.

RicoZhou_0-1665479162510.png

 

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.

View solution in original post

6 REPLIES 6
tamerj1
Super User
Super User

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.

RicoZhou_0-1665479162510.png

 

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 ) )
parry2k
Super User
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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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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