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Magistralis
Frequent Visitor

M solution converted to DAX

Good day beautiful people,

 

I need a help with below solution, for now it is made in PQ. This is just one piece of bigger query, which unfortunately is causing some issues with performance so I would like to switch from PQ to DAX.

 

Date format: d/m/yyyy

 

What I need?

IDAging_Start_DateEnd_Date
ABC1231/1/20221/5/2022

 

Above table contains about 10k rows with unique IDs and dates for each.

What I need to present on visualization is how many IDs were aged per month. Main problem is that I have only start_date and end_date, so if my filters are between 1/2/2022 - 4/1/2022 this ID will be ignored or I will just see data for January and May.

 

I need to see data for Jan 1st, Feb 1st, Mar 1st, Apr 1st and May 1st (1 per month).

 

I'm using below PQ solution which works amazing but I would like to get rid of heavy calculations (merges etc.) from PQ and focus on DAX only.

 

let

AllDates = {Number.From([Aging_Start_Date])..Number.From([End_Date])},

 

StofMonthDates =

List.Distinct(

List.Transform(

AllDates, each Date.StartOfMonth(Date.From(_))
)
)

in
StofMonthDates

 

 Credits: Generate Dates between Start and End Date in Power Query - YouTube

 

Is there a way to receive similar result as with above query? Sample of the result is presented below.

 

IDAging_Start_DateEnd_Date
ABC1231/1/20221/5/2022

 

After query will be transformed to:

 

IDStofMonthDates
ABC1231/1/2022
ABC1231/2/2022
ABC1231/3/2022
ABC1231/4/2022
ABC1231/5/2022

 

Edit: I can't center the tables, sorry for this. HTML errors.

1 ACCEPTED SOLUTION
amitchandak
Super User
Super User

2 REPLIES 2
amitchandak
Super User
Super User

Absolutely fantastic solution!
It's quite simple when you look at it but my brain could not figure it out.

 

Thank you!

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