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Easy question:
how to get just a single value from sumQty_by_item column?
| location | part | qty | sum_qty_by_item | date | expected result |
| 1 | 111 | 10 | 60 | 01.05.2019 | 60 |
| 2 | 111 | 20 | 60 | 01.05.2019 | 0 |
| 3 | 111 | 30 | 60 | 01.05.2019 | 0 |
| 1 | 222 | 5 | 9 | 01.05.2019 | 9 |
| 2 | 222 | 1 | 9 | 01.05.2019 | 0 |
| 3 | 222 | 3 | 9 | 01.05.2019 | 0 |
| 1 | 111 | 5 | 25 | 02.05.2019 | 25 |
| 2 | 111 | 6 | 25 | 02.05.2019 | 0 |
| 3 | 111 | 7 | 25 | 02.05.2019 | 0 |
| 4 | 111 | 7 | 25 | 02.05.2019 | 0 |
is it even possible with dax? i need it in new column as im using it in chart/as slicer etc.
Solved! Go to Solution.
Hi @mhsk
I would suggest you to add an index column in query editor.Then create the column as below:
Column =
VAR pre_sum =
CALCULATE (
MAX ( 'Table'[sum] ),
FILTER ( 'Table', 'Table'[Index] = EARLIER ( 'Table'[Index] ) - 1 )
)
RETURN
IF (
pre_sum <> 'Table'[sum],
CALCULATE ( MAX ( 'Table'[sum] ), ALLEXCEPT ( 'Table', 'Table'[sum] ) ),
0
)
Regards,
Hi @mhsk
You may try below dax.
Column =
IF (
[location] = 1,
CALCULATE (
MAX ( [sum_qty_by_item] ),
ALLEXCEPT ( 'Table', 'Table'[sum_qty_by_item] )
),
0
)
Regards,
thanks for a prompt reply, the thing is I don't want to connect it anyhow to location imagine my table looks:
| part | sum | expected result |
| 111 | 50 | 50 |
| 111 | 50 | 0 |
| 111 | 50 | 0 |
| 222 | 60 | 60 |
| 222 | 60 | 0 |
| 222 | 60 | 0 |
| 333 | 1 | 1 |
| 333 | 1 | 0 |
| 333 | 1 | 0 |
| 444 | 10 | 10 |
| 444 | 10 | 0 |
| 444 | 10 | 0 |
Hi @mhsk
I would suggest you to add an index column in query editor.Then create the column as below:
Column =
VAR pre_sum =
CALCULATE (
MAX ( 'Table'[sum] ),
FILTER ( 'Table', 'Table'[Index] = EARLIER ( 'Table'[Index] ) - 1 )
)
RETURN
IF (
pre_sum <> 'Table'[sum],
CALCULATE ( MAX ( 'Table'[sum] ), ALLEXCEPT ( 'Table', 'Table'[sum] ) ),
0
)
Regards,
ok this works while parts are always represented in multiple rows, but there are also cases where part can have just one row (no index-1 possible) - like part 555 below, could you have a look ?
| part | sum | expected result |
| 111 | 50 | 50 |
| 111 | 50 | 0 |
| 111 | 50 | 0 |
| 222 | 60 | 60 |
| 222 | 60 | 0 |
| 222 | 60 | 0 |
| 333 | 1 | 1 |
| 333 | 1 | 0 |
| 333 | 1 | 0 |
| 444 | 10 | 10 |
| 444 | 10 | 0 |
| 444 | 10 | 0 |
| 555 | 15 | 15 |
Hi @mhsk
The above workaround could work for your scenario.
Regards,
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