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Hi,
I have 3 tables : Dim_Weeks, Fact1 and Fact2 joined by wk_num
Need dax code for the F,G,H
Fact 1: Fact2:
col- | A | B | C | D | ||
row | Wk_num | vol1 | vol2 | Wk_num | vol3 | |
1 | 157 | 345 | 325 | 157 | 455 | |
2 | 158 | 396 | 351 | 158 | 371 | |
3 | 159 | 375 | 468 | 159 | 313 | |
4 | 160 | 379 | 344 | 160 | 319 | |
5 | 161 | 393 | 356 | 161 | 364 | |
6 | 162 | 0 | 423 | 162 | 413 | |
7 | 163 | 0 | 380 | 163 | 349 | |
8 | 164 | 0 | 233 | 164 | 339 |
Examples used in excel formula:
E | F | G | H |
% vs F1F2:D6/A6 | rolling last 4 weeks: average (E3:E6) | Proj%:((D6/F6)-B6)/B6 | Projected:IF(A6=0,D6/F6,IF(AND(A6>0,A7=0),A6,NA())) |
Expected value for the row 6 and 7 is
84% | 98% | -6% | #N/A |
93% | 88% | 16% | 393 |
created calculated column for E:
%F1 vs.F2 =
VAR NUMERATOR = Fact2[Vol3]
VAR DENOMINATOR = Fact1[Vol1]
RETURN
DIVIDE(NUMERATOR, DENOMINATOR)
need help in other projections from excel to dax code
Thanks
Solved! Go to Solution.
Hi @Sara_J ,
% vs F1F2 = divide(RELATED(Table2[vol3]),[vol1],0)
rolling last 4 weeks =
AVERAGEX (
FILTER (
'Table1',
[Wk_num_1] <= EARLIER ( Table1[Wk_num_1] )
&& [Wk_num_1]
>= EARLIER ( Table1[Wk_num_1] ) - 3
),
[% vs F1F2]
)
Proj% =
DIVIDE (
DIVIDE ( RELATED ( Table2[vol3] ), [rolling last 4 weeks] ) - [vol2],
[vol2],
0
)
Projected =
IF (
[vol1] = 0,
DIVIDE ( RELATED ( Table2[vol3] ), [rolling last 4 weeks] ),
IF (
AND (
[vol1] > 0,
CALCULATE (
MAX ( 'Table1'[vol1] ),
FILTER ( 'Table1', [Wk_num_1] = EARLIER ( Table1[Wk_num_1] ) + 1 )
) = 0
),
[vol1],
BLANK ()
)
)
Result:
Pbix in the end you can refer.
Best Regards
Community Support Team _ chenwu zhu
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi @Sara_J ,
A little confused, row 6 and 7's A is 0, how is E(D6/A6) calculated?
Best Regards
Community Support Team _ chenwu zhu
Thanks for the response , there was typo. the correct
E | F | G | H |
% vs F1F2:D4/A4 | rolling last 4 weeks: average (E1:E4) | Proj%:((D4/F4)-B4)/B4 | Projected:IF(A4=0,D4/F4,IF(AND(A4>0,A5=0),A4,NA())) |
Expected value for the row 6 and 7 is
84% | 98% | -6% | #N/A |
93% | 88% | 16% | 393 |
Hi @Sara_J ,
% vs F1F2 = divide(RELATED(Table2[vol3]),[vol1],0)
rolling last 4 weeks =
AVERAGEX (
FILTER (
'Table1',
[Wk_num_1] <= EARLIER ( Table1[Wk_num_1] )
&& [Wk_num_1]
>= EARLIER ( Table1[Wk_num_1] ) - 3
),
[% vs F1F2]
)
Proj% =
DIVIDE (
DIVIDE ( RELATED ( Table2[vol3] ), [rolling last 4 weeks] ) - [vol2],
[vol2],
0
)
Projected =
IF (
[vol1] = 0,
DIVIDE ( RELATED ( Table2[vol3] ), [rolling last 4 weeks] ),
IF (
AND (
[vol1] > 0,
CALCULATE (
MAX ( 'Table1'[vol1] ),
FILTER ( 'Table1', [Wk_num_1] = EARLIER ( Table1[Wk_num_1] ) + 1 )
) = 0
),
[vol1],
BLANK ()
)
)
Result:
Pbix in the end you can refer.
Best Regards
Community Support Team _ chenwu zhu
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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