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Hello,
I would like to regroup all the Product Group name with VMS ( from 29.27- 29.39) such that it returns the line in red .
Best regards ,
Anis
| Product Group Name | COGS (OM) raw materials | COGS (purchased third party) | COGS (OM) packaging materials |
| 02.67 NIN Functional Formulas | 148195 | 31096 | |
| 02.99 Other infant products | 123212 | 1000 | |
| 29.12 Devices | -148187 | 3234 | 67222 |
| 29.24 Vitaflo | 1342111 | 70909516 | 6323705 |
| 29.25 Medical Nutrition | 8424456745 | 31231 | 4123 |
| 29.26 Consumer Care | 212323123 | 1958429041 | 1399941479 |
| 29.27 VMS - Garden of Life | 12323123 | 23413421341324 | 611675147 |
| 29.28 VMS - Professional | 4295982588 | 134134138768 | 236178859 |
| 29.29 VMS - Other | 12342341 | 1675256107 | 23123 |
| 29.30 VMS - Wobenzym | 748126387 | 50447404 | 14680326 |
| 29.31 VMS - VP | 6310291451 | 34234 | 132151221 |
| 29.32 VMS - Nuun | 2342 | 7886757 | 12313 |
| 29.33 VMS Natures’s Bounty | 5593292169 | 8675 | |
| 29.34 VMS Solgar | 3423423 | 123 | |
| 29.35 VMS Puritan’s Pride | 1473203499 | 464567467 | |
| 29.36 VMS – Osteo Biflex | 34234 | 614946 | |
| 29.37 VMS Private Label (CMO) | 342342 | 13145074 | |
| 29.38 VMS – Sundown | 375380963 | 123132 | |
| 29.39 VMS - TBCo Other | 2342342 | 234234 | |
| 29.40 Pharma | 616356225 | 598417437 | 73174 |
| 29.41 VMHS – Orgain | 432365745 | 343234 | |
| 29.99 Other HealthCare nutrition | 17594487373 | 3881259048 | 3133085229 |
| 33.03 Pharmaceuticals | 134134234 | 30393899 | |
| 33.04 Diagnostics | 28225418 | ||
| 35.05 Maternal Nutrition WIN | 40000 | 2342342 | |
| 98.99 Unallocated | 12341234 | ||
| SUM ALL VMS RAW | SUM ALL VMS PURCHASED THIRD | SUM ALL VMS PACK | |
| CREATED ROW : TOTAL VMS | 18827087204 | 23549767798245 | 994720988,4 |
Solved! Go to Solution.
Hi @Anonymous ,
We cannot create calculated row directly, please refer to my pbix file to see if it helps you.
Create three measures.
package =
VAR _all =
SUMX (
FILTER (
ALL ( 'Table' ),
'Table'[Product] >= 29.27
&& 'Table'[Product] <= 29.39
),
'Table'[COGS (OM) packaging materials]
)
RETURN
IF (
HASONEVALUE ( 'Table'[Product] ),
MAX ( 'Table'[COGS (OM) packaging materials] ),
_all
)
purchased =
VAR _all =
SUMX (
FILTER (
ALL ( 'Table' ),
'Table'[Product] >= 29.27
&& 'Table'[Product] <= 29.39
),
'Table'[COGS (purchased third party)]
)
RETURN
IF (
HASONEVALUE ( 'Table'[Product] ),
MAX ( 'Table'[COGS (purchased third party)] ),
_all
)
raw =
VAR _all =
SUMX (
FILTER (
ALL ( 'Table' ),
'Table'[Product] >= 29.27
&& 'Table'[Product] <= 29.39
),
'Table'[COGS (OM) raw materials]
)
RETURN
IF (
HASONEVALUE ( 'Table'[Product] ),
MAX ( 'Table'[COGS (OM) raw materials] ),
_all
)
Best Regards
Community Support Team _ Polly
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Thank you so much !
Hi @Anonymous ,
We cannot create calculated row directly, please refer to my pbix file to see if it helps you.
Create three measures.
package =
VAR _all =
SUMX (
FILTER (
ALL ( 'Table' ),
'Table'[Product] >= 29.27
&& 'Table'[Product] <= 29.39
),
'Table'[COGS (OM) packaging materials]
)
RETURN
IF (
HASONEVALUE ( 'Table'[Product] ),
MAX ( 'Table'[COGS (OM) packaging materials] ),
_all
)
purchased =
VAR _all =
SUMX (
FILTER (
ALL ( 'Table' ),
'Table'[Product] >= 29.27
&& 'Table'[Product] <= 29.39
),
'Table'[COGS (purchased third party)]
)
RETURN
IF (
HASONEVALUE ( 'Table'[Product] ),
MAX ( 'Table'[COGS (purchased third party)] ),
_all
)
raw =
VAR _all =
SUMX (
FILTER (
ALL ( 'Table' ),
'Table'[Product] >= 29.27
&& 'Table'[Product] <= 29.39
),
'Table'[COGS (OM) raw materials]
)
RETURN
IF (
HASONEVALUE ( 'Table'[Product] ),
MAX ( 'Table'[COGS (OM) raw materials] ),
_all
)
Best Regards
Community Support Team _ Polly
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
The Power BI Data Visualization World Championships is back! Get ahead of the game and start preparing now!
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