The ultimate Fabric, Power BI, SQL, and AI community-led learning event. Save €200 with code FABCOMM.
Get registeredCompete to become Power BI Data Viz World Champion! First round ends August 18th. Get started.
Am looking to create a column in power query editor that will take the monch a order was invoiced then based in the number of months that it needs to be invoiced for will give me the dates. For example;
for an order invoiced on 23/04/2019 and the number of months being 3 the new column should give me 3 months worth of dates for example 23/05/2019 23/06/2019 23/07/2019. Below is a screenshot of the data i am trying to create this with. Any help will be gratefully appreciated
Solved! Go to Solution.
Example table
Calculated column
Expand to new rows
Expanded table
New calculated column
Result
https://docs.microsoft.com/en-us/powerquery-m/list-dates
Create a new column with your month column as count and month as duration. Then expand into new rows.
@tex628 thank you so much for the response so would it look like this
List.Dates([DateInvoiced],[Months], [Months] )
thank you
Nevermind that, apparently its not that simple.
It appear that list.dates cant use month as increment which leaves us with a more complicated solution.
Use List.Numbers to create a record for each month. So you would do something along the lines of:
List.Numbers( 0 , [Month] )
https://docs.microsoft.com/en-us/powerquery-m/list-numbers
When the list is expanded you should end up with 1 record representing each month. 1, 2, 3, 4, 5 etc.
Now you want to create a new column using:
Date.AddMonths( [DateInvoiced] , [New column that you just made] )
https://docs.microsoft.com/en-us/powerquery-m/date-addmonths
This should give you the desired result! Sorry for the missdirect in the beginning, hope it works out.
Br,
J
@tex628 but wont that just give me the end date i need all the iterim dates in between as a list. Thank you for all your help
Example table
Calculated column
Expand to new rows
Expanded table
New calculated column
Result
User | Count |
---|---|
83 | |
83 | |
37 | |
34 | |
32 |
User | Count |
---|---|
92 | |
79 | |
62 | |
53 | |
51 |