Power BI is turning 10, and we’re marking the occasion with a special community challenge. Use your creativity to tell a story, uncover trends, or highlight something unexpected.
Get startedJoin us for an expert-led overview of the tools and concepts you'll need to become a Certified Power BI Data Analyst and pass exam PL-300. Register now.
Hi,
SalesID | Region | OrderDate | DeliveryDate | WorkingDays |
SO1001 | Dubai | 1/7/2021 | 30/7/2021 | 22 |
SO1002 | UK | 7/7/2021 | 23/7/2021 | 13 |
SO1003 | Colombia | 21/7/2021 | 28/7/2021 | 6 |
How to calculate Working Days.
1. Dubai - Exclude "Friday & Saturday"
2. UK & Colombia - Exclude "Saturday & Sunday".
I have created a "Calendar" table with the below query.
calendar dim = CALENDAR(IF(MONTH(TODAY()) > 3, CONCATENATE(YEAR(TODAY())-1, "-04-01"), CONCATENATE(YEAR(TODAY())-2, "-04-01")), TODAY())
Can you please help us.
Hi Team,
Thank you everyone for your suggestions.
One more validation need to add, For example Dubai national holidays need to exclude and in the same way other region national holidays also exclude.
Please find the below sample data.
Region | Holiday |
Dubai | 1/1/2021 |
Dubai | 11/5/2021 |
Dubai | 12/5/2021 |
Dubai | 13/5/2021 |
Dubai | 14/5/2021 |
Dubai | 15/5/2021 |
Dubai | 19/7/2021 |
Dubai | 20/7/2021 |
Dubai | 21/7/2021 |
Dubai | 22/7/2021 |
Dubai | 12/8/2021 |
Dubai | 18/10/2021 |
Dubai | 19/10/2021 |
Dubai | 30/11/2021 |
Dubai | 2/12/2021 |
UK | 1/1/2021 |
UK | 2/4/2021 |
UK | 5/4/2021 |
UK | 3/5/2021 |
UK | 31/5/2021 |
UK | 30/8/2021 |
UK | 27/12/2021 |
UK | 28/12/2021 |
Thank you in advance.
Regards,
PQ solution,
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WCvY3NDAwVNJRcilNSswE0ob65vpGBkYgIWMDGDtWB6rSCCgc6g0kzBHKjIwxlBkDhZ3zc/JzkzITQSqQDDWygKuOBQA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [SalesID = _t, Region = _t, OrderDate = _t, DeliveryDate = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"SalesID", type text}, {"Region", type text}, {"OrderDate", type date}, {"DeliveryDate", type date}}, "fr"),
#"Added Custom" = Table.AddColumn(
#"Changed Type",
"NetWorkday_PQ",
each let l = List.Dates([OrderDate],Duration.Days([DeliveryDate]-[OrderDate])+1,#duration(1,0,0,0))
in
if [Region] = "Dubai" then
List.Accumulate(l,0,(s,c)=>s+Number.From(Date.DayOfWeek(c,Day.Sunday)<5))
else List.Accumulate(l,0,(s,c)=>s+Number.From(Date.DayOfWeek(c,Day.Monday)<5))
)
in
#"Added Custom"
DAX solution
Thanks to the great efforts by MS engineers to simplify syntax of DAX! Most beginners are SUCCESSFULLY MISLED to think that they could easily master DAX; but it turns out that the intricacy of the most frequently used RANKX() is still way beyond their comprehension! |
DAX is simple, but NOT EASY! |
@venal You should be able to modify this approach: https://community.powerbi.com/t5/Quick-Measures-Gallery/Net-Work-Days/m-p/367362#M109
Hi @Greg_Deckler ,
Thank you for the response.
In the above scenario, weekoffs are changing as per region.
Ex:- I have a data for Dubai, Please refer the above snippet and suggest.
Thank you in advance.
Hi @venal
Add a Week Day column to your calendar table by using this measure:
Week day = WEEKDAY('Calendar'[Date])
Then Try this code to add Working Days column into the main table:
Working Days =
VAR _Order = 'Table'[OrderDate]
VAR _Delivery = 'Table'[DeliveryDate]
VAR _DateTable =
FILTER (
'Calendar',
'Calendar'[Date] >= _Order
&& 'Calendar'[Date] <= _Delivery
)
VAR _dubaiWD =
CALCULATE (
COUNTROWS ( 'Calendar' ),
FILTER ( _DateTable, 'Calendar'[Week day] <> 6 && 'Calendar'[Week day] <> 7 )
)
VAR _NotDubaiWD =
CALCULATE (
COUNTROWS ( 'Calendar' ),
FILTER ( _DateTable, 'Calendar'[Week day] <> 1 && 'Calendar'[Week day] <> 7 )
)
RETURN
IF ( 'Table'[Region] = "Dubai", _dubaiWD, _NotDubaiWD )
Output:
Did I answer your question? Mark my post as a solution!
Appreciate your Kudos !!
This is your chance to engage directly with the engineering team behind Fabric and Power BI. Share your experiences and shape the future.
Check out the June 2025 Power BI update to learn about new features.
User | Count |
---|---|
11 | |
11 | |
10 | |
9 | |
8 |
User | Count |
---|---|
17 | |
12 | |
11 | |
11 | |
11 |