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JB17
Frequent Visitor

Please HELP create DAX

 

Hello Everyone,

Can you help me create measure for below?

I need to categorize the values based on support in the last five years:

if the product is supported in the last five years then the category would be "Loyal", 

if the product is supported only in current year then "New"

if the product is unsupported in the last five years then "former & non-purchasing"

if the product is supported 3 or 4 out of the last 5 years then "potentially loyal"

if the product is supported 2 or 1 out of the last 5 years but not in the current year then "transient"

sample illustration is below:

 

JB17_1-1693889823302.png

Your help will be greatly appreciated! 

1 ACCEPTED SOLUTION
Anonymous
Not applicable

Hi  @JB17 ,

 

I created some data:

vyangliumsft_0-1694052755352.png

 

Here are the steps you can follow:

1. Create calculated column.

Flag =
var _yearcurrent=YEAR(TODAY())
var _count=
CALCULATE(DISTINCTCOUNT('Table'[Year]),
FILTER(ALL('Table'),'Table'[Group]=EARLIER('Table'[Group])&&'Table'[support]="yes"&&'Table'[Year]>=_yearcurrent-4&&'Table'[Year]<=_yearcurrent))
return
SWITCH(
    TRUE(),
    _count=5,"Loyal",
    _count>=3&&_count<=4&&
    CALCULATE(DISTINCTCOUNT('Table'[Year]),
FILTER(ALL('Table'),'Table'[Group]=EARLIER('Table'[Group])&&'Table'[support]="yes"&&'Table'[Year]=_yearcurrent))=0,"Potentially Loyal",
    _count=1&&
    CALCULATE(DISTINCTCOUNT('Table'[Year]),
FILTER(ALL('Table'),'Table'[Group]=EARLIER('Table'[Group])&&'Table'[support]="yes"&&'Table'[Year]=_yearcurrent))=1,"New",
    _count=BLANK(),"Former&Non-Purchasing",
    _count>=1&&_count<=2&&
CALCULATE(DISTINCTCOUNT('Table'[Year]),
FILTER(ALL('Table'),'Table'[Group]=EARLIER('Table'[Group])&&'Table'[support]="yes"&&'Table'[Year]=_yearcurrent))=0,"transient")

2. Result:

vyangliumsft_1-1694052755356.png

 

 

Best Regards,

Liu Yang

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

1 REPLY 1
Anonymous
Not applicable

Hi  @JB17 ,

 

I created some data:

vyangliumsft_0-1694052755352.png

 

Here are the steps you can follow:

1. Create calculated column.

Flag =
var _yearcurrent=YEAR(TODAY())
var _count=
CALCULATE(DISTINCTCOUNT('Table'[Year]),
FILTER(ALL('Table'),'Table'[Group]=EARLIER('Table'[Group])&&'Table'[support]="yes"&&'Table'[Year]>=_yearcurrent-4&&'Table'[Year]<=_yearcurrent))
return
SWITCH(
    TRUE(),
    _count=5,"Loyal",
    _count>=3&&_count<=4&&
    CALCULATE(DISTINCTCOUNT('Table'[Year]),
FILTER(ALL('Table'),'Table'[Group]=EARLIER('Table'[Group])&&'Table'[support]="yes"&&'Table'[Year]=_yearcurrent))=0,"Potentially Loyal",
    _count=1&&
    CALCULATE(DISTINCTCOUNT('Table'[Year]),
FILTER(ALL('Table'),'Table'[Group]=EARLIER('Table'[Group])&&'Table'[support]="yes"&&'Table'[Year]=_yearcurrent))=1,"New",
    _count=BLANK(),"Former&Non-Purchasing",
    _count>=1&&_count<=2&&
CALCULATE(DISTINCTCOUNT('Table'[Year]),
FILTER(ALL('Table'),'Table'[Group]=EARLIER('Table'[Group])&&'Table'[support]="yes"&&'Table'[Year]=_yearcurrent))=0,"transient")

2. Result:

vyangliumsft_1-1694052755356.png

 

 

Best Regards,

Liu Yang

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly

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