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Hi All
I have bucketed my data into two dates in a month, all records in the first half of the month are assigned to 15/xx/xxxx
All records from the 16th of the month are bucketed into whatever the last date of the particular month is.
My date filter has these dates, so for example the user will see
15/05/2020
30/04/2020
15/04/2020
31/03/2020
15/03/2020
29/02/2020
15/02/2020
And so on
What I want to be able to do is say count records bucketed for the date selected and then return the difference to the previous date in the list.
A bit like month on month change but for these customs dates.
Not sure how to do this!
Any help or pointers appreciated!
Solved! Go to Solution.
@ajay_gajree , Create a period rank, on period start date
Period Rank = RANKX(all('Date'),'Date'[Period Start date],,ASC,Dense)
This Period = CALCULATE(sum('order'[Qty]), FILTER(ALL('Date'),'Date'[Period Rank]=max('Date'[Period Rank])))
Last Period = CALCULATE(sum('order'[Qty]), FILTER(ALL('Date'),'Date'[Period Rank]=max('Date'[Period Rank])-1))
change = [This Period] - [Last Period ]
change % = divide([This Period] - [Last Period ],[Last Period ])
Discussed in my video : https://www.youtube.com/watch?v=7Jc3D4iaTqs
@ajay_gajree , Create a period rank, on period start date
Period Rank = RANKX(all('Date'),'Date'[Period Start date],,ASC,Dense)
This Period = CALCULATE(sum('order'[Qty]), FILTER(ALL('Date'),'Date'[Period Rank]=max('Date'[Period Rank])))
Last Period = CALCULATE(sum('order'[Qty]), FILTER(ALL('Date'),'Date'[Period Rank]=max('Date'[Period Rank])-1))
change = [This Period] - [Last Period ]
change % = divide([This Period] - [Last Period ],[Last Period ])
Discussed in my video : https://www.youtube.com/watch?v=7Jc3D4iaTqs
@ajay_gajree bucket part is ok but not sure what you exactly want the output to be, if you share sample data with the expected output, it will help understand the problem.
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