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Narendra90
Frequent Visitor

Need dax solution which will create table and caulculations

Hi Team,

I have following input data.

Narendra90_0-1685607452695.png

need following output.
Basically when we talk about Rating 2, it should pick max date of Rating 2 and minus min date of Rating 1 for Tkt1 ID.

Same with Rating 3, it should pick maximum date of rating 3 and minus minimum date of rating 2.

all this i want to achive thorugh DAX. No extra table. Thanks in advance

Narendra90_1-1685607495231.png

 

 

1 ACCEPTED SOLUTION
Anonymous
Not applicable

Hi  @Narendra90 ,

 

Here are the steps you can follow:

1. Create calculated column.

Output1 =
var _date1=
MAXX(    FILTER(ALL('Table'),'Table'[ID]=EARLIER('Table'[ID])&&'Table'[Rating]=EARLIER('Table'[Rating])),[New date])
var _date2=
MINX(    FILTER(ALL('Table'),'Table'[ID]=EARLIER('Table'[ID])&&'Table'[Rating]=EARLIER('Table'[Rating])-1),[New date])
var _value=
  DATEDIFF(
        _date2,_date1,DAY)
var _count=
COUNTX(  FILTER(ALL('Table'),'Table'[ID]=EARLIER('Table'[ID])&&'Table'[Rating]=EARLIER('Table'[Rating])),[Rating])
return
IF(
    'Table'[Rating]=
MINX(
ALL('Table'),[Rating]),0,
_value / _count)

2. Result:

vyangliumsft_0-1685948856347.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  @Narendra90 ,

 

Here are the steps you can follow:

1. Create calculated column.

Output1 =
var _date1=
MAXX(    FILTER(ALL('Table'),'Table'[ID]=EARLIER('Table'[ID])&&'Table'[Rating]=EARLIER('Table'[Rating])),[New date])
var _date2=
MINX(    FILTER(ALL('Table'),'Table'[ID]=EARLIER('Table'[ID])&&'Table'[Rating]=EARLIER('Table'[Rating])-1),[New date])
var _value=
  DATEDIFF(
        _date2,_date1,DAY)
var _count=
COUNTX(  FILTER(ALL('Table'),'Table'[ID]=EARLIER('Table'[ID])&&'Table'[Rating]=EARLIER('Table'[Rating])),[Rating])
return
IF(
    'Table'[Rating]=
MINX(
ALL('Table'),[Rating]),0,
_value / _count)

2. Result:

vyangliumsft_0-1685948856347.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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