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Hi Expert,
Could you please help me to compute STDEV of revenue in DAX? I am attaching below data along with how it's working in exce
date | source | channel | revenue | Expected Output SD | SD Formula |
1/1/2022 | A | ABC | 100 | ||
1/2/2022 | A | ABC | 103 | 2.121320344 | =STDEV.S(D2:D3) |
1/3/2022 | A | ABC | 108 | 3.535533906 | =STDEV.S(D3:D4) |
1/4/2022 | A | ABC | 928 | 579.8275606 | =STDEV.S(D4:D5) |
1/5/2022 | A | ABC | 283 | 456.0838739 | =STDEV.S(D5:D6) |
1/1/2022 | A | ABC | 100 | ||
1/2/2022 | A | ABC | 200 | 70.71067812 | =STDEV.S(D7:D8) |
1/3/2022 | A | ABC | 300 | 70.71067812 | =STDEV.S(D8:D9) |
1/4/2022 | A | ABC | 202 | 69.29646456 | =STDEV.S(D9:D10) |
1/5/2022 | A | ABC | 205 | 2.121320344 | =STDEV.S(D10:D11) |
1/1/2022 | B | XYZ | 100 | ||
1/2/2022 | B | XYZ | 300 | 141.4213562 | =STDEV.S(D12:D13) |
1/3/2022 | B | XYZ | 303 | 2.121320344 | =STDEV.S(D13:D14) |
1/4/2022 | B | XYZ | 305 | 1.414213562 | =STDEV.S(D14:D15) |
1/5/2022 | B | XYZ | 308 | 2.121320344 | =STDEV.S(D15:D16) |
1/1/2022 | B | XYZ | 100 | ||
1/2/2022 | B | XYZ | 400 | 212.1320344 | =STDEV.S(D17:D18) |
1/3/2022 | B | XYZ | 402 | 1.414213562 | =STDEV.S(D18:D19) |
1/4/2022 | B | XYZ | 407 | 3.535533906 | =STDEV.S(D19:D20) |
1/5/2022 | A | XYZ | 411 | 2.828427125 | =STDEV.S(D20:D21) |
Solved! Go to Solution.
Hi @Uzi2019 ,
Please try:
First create an index column:
Then apply the measure:
Measure =
VAR _a =
STDEVX.S (
FILTER (
ALL ( 'Table' ),
[Index] <= MAX ( 'Table'[Index] )
&& [Index]
>= MAX ( 'Table'[Index] ) - 1
),
[revenue]
)
VAR _b =
MINX ( ALLEXCEPT ( 'Table', 'Table'[channel] ), [date] )
RETURN
IF ( MAX ( 'Table'[date] ) = _b, BLANK (), _a )
Then show items with no data:
Final output:
Best Regards,
Jianbo Li
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi @Uzi2019 ,
Please try:
First create an index column:
Then apply the measure:
Measure =
VAR _a =
STDEVX.S (
FILTER (
ALL ( 'Table' ),
[Index] <= MAX ( 'Table'[Index] )
&& [Index]
>= MAX ( 'Table'[Index] ) - 1
),
[revenue]
)
VAR _b =
MINX ( ALLEXCEPT ( 'Table', 'Table'[channel] ), [date] )
RETURN
IF ( MAX ( 'Table'[date] ) = _b, BLANK (), _a )
Then show items with no data:
Final output:
Best Regards,
Jianbo Li
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Thanks alot. It worked for me.
@Uzi2019 Try something like this:
Measure =
VAR __Date = MAX('Table'[Date])
VAR __NextDate = MINX(FILTER(ALL('Table),[Date] > __Date),[Date])
VAR __CurrentValue = MAX('Table'[revenue])
VAR __NextValue = MAXX(FILTER(ALL('Table'),[Date] = __NextDate),[revenue])
VAR __Result = STDDEVX.S( { __CurrentValue, __NextValue }, [Value])
RETURN
__Result
@Greg_Deckler Thanks for your reply. I tried your solution but not getting expected output like I mentioned in my first post.