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Hi Community,
I have a set of data similar to below:
Region | Store | Order ID | Request ID | Order date | Delivery date | Date diff (Deliv. and order) |
EOS | A | 00820AK1 | 00820AK | 17-07-2020 | 22-07-2020 | 5 |
EOS | A | 00820BP1 | 00820BP | 20-10-2020 | 23-10-2020 | 3 |
EOS | A | 00820CA1 | 00820CA | 06-11-2020 | 12-11-2020 | 6 |
EUR | B | 02220B61 | 02220B6 | 16-04-2020 | 22-04-2020 | 6 |
EUR | B | 02220BA2 | 02220BA | 20-04-2020 | 22-04-2020 | 2 |
EUR | B | 02220CM2 | 02220CM | 28-05-2020 | 03-06-2020 | 6 |
EUR | B | 02220CM1 | 02220CM | 28-05-2020 | 03-06-2020 | 6 |
EUR | C | 02220DY1 | 02220DY | 07-07-2020 | 13-07-2020 | 6 |
EUR | B | 02220FT1 | 02220FT | 19-08-2020 | 27-08-2020 | 8 |
EUR | C | 02220FV1 | 02220FV | 20-08-2020 | 25-08-2020 | 5 |
EUR | B | 02220G61 | 02220G6 | 25-08-2020 | 27-08-2020 | 2 |
NWK | D | 02220GY1 | 02220GY | 07-09-2020 | 09-09-2020 | 2 |
EUR | B | 02220I91 | 02220I9 | 02-10-2020 | 10-10-2020 | 8 |
EUR | C | 02220IB2 | 02220IB | 12-10-2020 | 08-10-2020 | -4 |
EUR | B | 02220IC1 | 02220IC | 05-10-2020 | 10-10-2020 | 5 |
EUR | E | 02220J01 | 02220J0 | 27-11-2020 | 01-12-2020 | 4 |
EUR | F | 02221AK2 | 02221AK | 17-05-2021 | 20-05-2021 | 3 |
EUR | F | 02221B51 | 02221B5 | 24-06-2021 | 01-07-2021 | 7 |
EUR | F | 02221CI1 | 02221CI | 06-08-2021 | 12-08-2021 | 6 |
EUR | G | 02221DR1 | 02221DR | 15-09-2021 | 23-09-2021 | 8 |
I am trying to set up a report showing late, on time and early nominations of a given product but the definition of this should be adjustable.
My idea is to apply two separate parameters (high and low) and let these define the min and max for the “on time nominations” i.e. if low is set to 2 and high to 6 is everything below 2 defined as late, between 2 and 6 on time and above 6 early.
This then needs to be counted to visualize the count of each of the three categories for each region or store.
With the low parameter = 2 and high parameter = 6, the result would be similar to below:
Region | Early | On time | Late |
EOS | 0 | 3 | 0 |
EUR | 4 | 11 | 1 |
NWK | 0 | 1 | 0 |
and,
Store | Early | On time | Late |
A | 0 | 3 | 0 |
B | 2 | 6 | 0 |
C | 0 | 2 | 1 |
D | 0 | 1 | 0 |
E | 0 | 1 | 0 |
F | 1 | 2 | 0 |
G | 1 | 0 | 0 |
Thank you in advance for your time and assistance
Solved! Go to Solution.
Hi @Top006 ,
You can do the following:
TypeID
Early | 1 |
On time | 2 |
Late | 3 |
Nomination time =
SWITCH (
SELECTEDVALUE ( 'Nomination time'[Type] ),
"Early",
COUNTROWS (
FILTER (
'Nominations',
'Nominations'[Date diff (Deliv. and order)] > MAX ( 'Low - High'[Low - High] )
)
),
"On Time",
COUNTROWS (
FILTER (
'Nominations',
'Nominations'[Date diff (Deliv. and order)] >= MIN ( 'Low - High'[Low - High] )
&& 'Nominations'[Date diff (Deliv. and order)] <= MAX ( 'Low - High'[Low - High] )
)
),
"Late",
COUNTROWS (
FILTER (
'Nominations',
'Nominations'[Date diff (Deliv. and order)] < MIN ( 'Low - High'[Low - High] )
)
)
) + 0
Result below and in attach PBIX file.
Regards
Miguel Félix
Proud to be a Super User!
Check out my blog: Power BI em PortuguêsHi @Top006 ,
You can do the following:
TypeID
Early | 1 |
On time | 2 |
Late | 3 |
Nomination time =
SWITCH (
SELECTEDVALUE ( 'Nomination time'[Type] ),
"Early",
COUNTROWS (
FILTER (
'Nominations',
'Nominations'[Date diff (Deliv. and order)] > MAX ( 'Low - High'[Low - High] )
)
),
"On Time",
COUNTROWS (
FILTER (
'Nominations',
'Nominations'[Date diff (Deliv. and order)] >= MIN ( 'Low - High'[Low - High] )
&& 'Nominations'[Date diff (Deliv. and order)] <= MAX ( 'Low - High'[Low - High] )
)
),
"Late",
COUNTROWS (
FILTER (
'Nominations',
'Nominations'[Date diff (Deliv. and order)] < MIN ( 'Low - High'[Low - High] )
)
)
) + 0
Result below and in attach PBIX file.
Regards
Miguel Félix
Proud to be a Super User!
Check out my blog: Power BI em PortuguêsCheck out the May 2025 Power BI update to learn about new features.
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