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Dear experts,
I need your help to visualise in matrix in PowerBI the accumulated number of people based on his/her registration date in each running calendar month. Here is the example data. I have 1 table that stores the person and when they registered:
Person | Registered Date |
A | 02-Jan-2020 |
B | 15-Jan-2020 |
C | 10-Mar-2020 |
D | 12-Feb-2020 |
E | 20-Apr-2020 |
Each month, I need to show where these people are grouped, i.e. 2 groups:
1.No of people registered < 3 months
2.No of people registered >= 3 months
Visualisation in matrix will be like this:
Jan-2020 | Feb-2020 | Mar-2020 | Apr-2020 | May-2020 | |
NoOfPeople registered < 3 months | A, B (2) | A, B, D (3) | A, B, C, D (4) | C, D, E (3) | C, E (2) |
NoOfPeople registered >= 3 months | A, B (2) | A, B, D (3) |
A, B, C, D, E in the matrix above are just to show where these people are each month. I only need the numeric (no of people) in each running month.
Thank you in advance.
Best Regards,
Alix
Solved! Go to Solution.
@Rita_Alix , Create two measure like these with an independent date table and use month from that date table in visual
less than 3 =
calculate(count(Table[person]), filter(Table, datediff(Table[Registered Date], max('Date'[Date]),month)<3))
More than and equal to 3= calculate(count(Table[person]), filter(Table, datediff(Table[Registered Date], max('Date'[Date]),month)>=3))
refer if needed
Need of an Independent Date Table:https://www.youtube.com/watch?v=44fGGmg9fHI
Hi @amitchandak
Thank you for your swift reply.
The measures give the count when the person is registered, not accumulated. I use the usual
@Rita_Alix , Create two measure like these with an independent date table and use month from that date table in visual
less than 3 =
calculate(count(Table[person]), filter(Table, datediff(Table[Registered Date], max('Date'[Date]),month)<3))
More than and equal to 3= calculate(count(Table[person]), filter(Table, datediff(Table[Registered Date], max('Date'[Date]),month)>=3))
refer if needed
Need of an Independent Date Table:https://www.youtube.com/watch?v=44fGGmg9fHI
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