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Hi Team,
Good day,
We wanted to SUM the volumn column but consider only unique records,
Highlighted expected column in YELLOW color , Would like to set 0 for duplicate records on based
datekey, payer,payer_parent,eng_code as below, Same time this should be work even for filters and slicers.
datekey | payer | payer_name | payer_parent | payer_parent_name | egn_code | egn_name | Volume | Volume | Business_Unit | Attribute | Value |
3/1/2024 | 013730 | L3HARRIS IMS-KEO | 0007366010 | L3HARRIS TECHNOLOGIES | 1042078000 | L3 TECHNOLOGIES | 22 | 22 | Dom SP | Air | 0 |
3/1/2024 | 013730 | L3HARRIS IMS-KEO | 0007366010 | L3HARRIS TECHNOLOGIES | 1042078000 | L3 TECHNOLOGIES | 22 | 0 | Dom SP | Ground | 0.066276617 |
3/1/2024 | 013730 | L3HARRIS IMS-KEO | 0007366010 | L3HARRIS TECHNOLOGIES | 1042078000 | L3 TECHNOLOGIES | 22 | 0 | Dom SP | Facilities | 0.004344208 |
2/1/2024 | 039927 | L-3 MARITIME SYSTEMS | 0007366010 | L3HARRIS TECHNOLOGIES | 1042078000 | L3 TECHNOLOGIES | 10 | 10 | Dom SP | Air | 0 |
2/1/2024 | 039927 | L-3 MARITIME SYSTEMS | 0007366010 | L3HARRIS TECHNOLOGIES | 1042078000 | L3 TECHNOLOGIES | 10 | 0 | Dom SP | Ground | 0.036742053 |
2/1/2024 | 039927 | L-3 MARITIME SYSTEMS | 0007366010 | L3HARRIS TECHNOLOGIES | 1042078000 | L3 TECHNOLOGIES | 10 | 0 | Dom SP | Facilities | 0.00285356 |
Thanks
M. Vijay Antony
Solved! Go to Solution.
Thank you very much Rupak_bi for your prompt reply.
First, you can create a calculated column to combine datekey, payer, payer_parent, and egn_code to form a unique identifier.
UniqueID = [datekey] & "-" & [payer] & "-" & [payer_parent] & "-" & [egn_code]
Then create a measure.
AdjustedVolume =
var _rank =
RANKX(
FILTER(
ALL('Table'),
'Table'[UniqueID] = MAX('Table'[UniqueID])
),
CALCULATE(MAX('Table'[Attribute])),
,
ASC,
Dense
)
RETURN
IF(
_rank = 1,
SUM('Table'[Volume]),
0
)
If you don't want to create calculated columns, try that too:
Measure AdjustedVolume =
var _rank =
RANKX(
FILTER(
ALL('Table'),
'Table'[datekey] = MAX('Table'[datekey])
&&
'Table'[payer] = MAX('Table'[payer])
&&
'Table'[payer_parent] = MAX('Table'[payer_parent])
&&
'Table'[egn_code] = MAX('Table'[egn_code])
),
CALCULATE(MAX('Table'[Attribute])),
,
ASC,
Dense
)
RETURN
IF(
_rank = 1,
SUM('Table'[Volume]),
0
)
Here is the result.
Regards,
Nono Chen
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Thank you very much Rupak_bi for your prompt reply.
First, you can create a calculated column to combine datekey, payer, payer_parent, and egn_code to form a unique identifier.
UniqueID = [datekey] & "-" & [payer] & "-" & [payer_parent] & "-" & [egn_code]
Then create a measure.
AdjustedVolume =
var _rank =
RANKX(
FILTER(
ALL('Table'),
'Table'[UniqueID] = MAX('Table'[UniqueID])
),
CALCULATE(MAX('Table'[Attribute])),
,
ASC,
Dense
)
RETURN
IF(
_rank = 1,
SUM('Table'[Volume]),
0
)
If you don't want to create calculated columns, try that too:
Measure AdjustedVolume =
var _rank =
RANKX(
FILTER(
ALL('Table'),
'Table'[datekey] = MAX('Table'[datekey])
&&
'Table'[payer] = MAX('Table'[payer])
&&
'Table'[payer_parent] = MAX('Table'[payer_parent])
&&
'Table'[egn_code] = MAX('Table'[egn_code])
),
CALCULATE(MAX('Table'[Attribute])),
,
ASC,
Dense
)
RETURN
IF(
_rank = 1,
SUM('Table'[Volume]),
0
)
Here is the result.
Regards,
Nono Chen
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi @VijayAntonyM ,
Please see below image. Hope this solves your problem using a simgle measure. I dont think making duplicate entries Zero is really required as far as your output is concerned.
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