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shower999
Frequent Visitor

Lookupvalue Last Quarter in the same table without aggregation

Dear all,

 

I'm new to PowerBI DAX language.

I have a combined each month customer statuses and would like to compare their changes month over month. Customer is unique in each month

 

essentially, I want to  

1) lookup last month, profile status for the same customer and know the customer profile and warranty date

2) if customer is missing, it's off boarded and I need to flag it out

 

I am able to do this kind of lookup using Calculate (sum (last_data), DATEADD( date , -1, month)

 

but it need aggregation. I want this to be done in account level so I can count how many went up and down, warranty extended and slice/ fitler them when necessary.

 

hope you all can guide me. thank you in advance

 

 

Month1Data_dateAccountProfileLast_Mth_ProfileChangesWarranty_dateLast_Mth_W_DChanges
Jan1-JanMr. A1  1-Jan  
Feb1-FebMr. A31Up31-Dec1-JanExtended
Mar1-MarMr. A33 31-Dec31-Dec 
Jan1-JanMr. B3  31-Dec  
Feb1-FebMr. B13Down1-Jan1-JanCancelled
Mar1-Mar   Off boarded  Off boarded
2 ACCEPTED SOLUTIONS
v-yulgu-msft
Microsoft Employee
Microsoft Employee

Hi @shower999,

 

Please refer to below DAX formulas to add calculated columns:

Index =
RANKX (
    FILTER ( Sample1, Sample1[Account] = EARLIER ( Sample1[Account] ) ),
    Sample1[Data_date],
    ,
    ASC,
    DENSE
)

Last_Mth_Profile =
CALCULATE (
    SELECTEDVALUE ( Sample1[Profile] ),
    FILTER (
        ALLEXCEPT ( Sample1, Sample1[Account] ),
        Sample1[Index]
            = EARLIER ( Sample1[Index] ) - 1
    )
)

Profile_Changes =
IF (
    Sample1[Account] = BLANK (),
    "Off boarded",
    IF (
        Sample1[Last_Mth_Profile] = BLANK ()
            || Sample1[Last_Mth_Profile] = Sample1[Profile],
        BLANK (),
        IF ( Sample1[Last_Mth_Profile] < Sample1[Profile], "Up", "Down" )
    )
)

Last_Mth_W_D =
CALCULATE (
    SELECTEDVALUE ( Sample1[Warranty_date] ),
    FILTER (
        ALLEXCEPT ( Sample1, Sample1[Account] ),
        Sample1[Index]
            = EARLIER ( Sample1[Index] ) - 1
    )
)

Warranty_Changes =
IF (
    Sample1[Account] = BLANK (),
    "Off boarded",
    IF (
        Sample1[Last_Mth_W_D] = BLANK ()
            || Sample1[Last_Mth_W_D] = Sample1[Warranty_date],
        BLANK (),
        IF ( Sample1[Last_Mth_W_D] < Sample1[Warranty_date], "Cancelled", "Extended" )
    )
)

1.PNG

 

Best regards,

Yuliana Gu

Community Support Team _ Yuliana Gu
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

WoW!! this works perfectly. highly appreciated. I'll use these formulars across all my calculation.

 

View solution in original post

2 REPLIES 2
v-yulgu-msft
Microsoft Employee
Microsoft Employee

Hi @shower999,

 

Please refer to below DAX formulas to add calculated columns:

Index =
RANKX (
    FILTER ( Sample1, Sample1[Account] = EARLIER ( Sample1[Account] ) ),
    Sample1[Data_date],
    ,
    ASC,
    DENSE
)

Last_Mth_Profile =
CALCULATE (
    SELECTEDVALUE ( Sample1[Profile] ),
    FILTER (
        ALLEXCEPT ( Sample1, Sample1[Account] ),
        Sample1[Index]
            = EARLIER ( Sample1[Index] ) - 1
    )
)

Profile_Changes =
IF (
    Sample1[Account] = BLANK (),
    "Off boarded",
    IF (
        Sample1[Last_Mth_Profile] = BLANK ()
            || Sample1[Last_Mth_Profile] = Sample1[Profile],
        BLANK (),
        IF ( Sample1[Last_Mth_Profile] < Sample1[Profile], "Up", "Down" )
    )
)

Last_Mth_W_D =
CALCULATE (
    SELECTEDVALUE ( Sample1[Warranty_date] ),
    FILTER (
        ALLEXCEPT ( Sample1, Sample1[Account] ),
        Sample1[Index]
            = EARLIER ( Sample1[Index] ) - 1
    )
)

Warranty_Changes =
IF (
    Sample1[Account] = BLANK (),
    "Off boarded",
    IF (
        Sample1[Last_Mth_W_D] = BLANK ()
            || Sample1[Last_Mth_W_D] = Sample1[Warranty_date],
        BLANK (),
        IF ( Sample1[Last_Mth_W_D] < Sample1[Warranty_date], "Cancelled", "Extended" )
    )
)

1.PNG

 

Best regards,

Yuliana Gu

Community Support Team _ Yuliana Gu
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

WoW!! this works perfectly. highly appreciated. I'll use these formulars across all my calculation.

 

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