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We need to create a table visualisation to display the following values by year and month (extendable to quarter and week):
1. Number of active donors
2. The Number of active donors split by their category. This category is based on the amount donated over the last 12 months.
Donor category is defined as:
0-100 -> low
101 - 500 --> middle
500+ --> high
The end result should look like this:
Year | Quarter | Month | Active Donors | Low | Middle | High |
2023 | 4 | October | 280 | 180 | 80 | 20 |
2023 | 4 | November | 310 | 200 | 100 | 10 |
2023 | 4 | December | 320 | 190 | 80 | 50 |
2024 | 1 | January | 120 | 90 | 20 | 10 |
For example: In October 2023 received donations from 180 donors who are categorized as "low" because their donations in the previous 12 months amounted to less than USD100.
My model has the tables transaction, donor and calendar. Calendar hat a relationsihp to transaction and is marked as calendar table.
I can calculate the number of active donors with this measure:
Active Donors =
VAR Result =
CALCULATE (
COUNT('Donor'[DonorID]),
FILTER(
'Transaction',
'Transaction'[Status] = "Booked"
)
)
RETURN Result
I am having trouble figuring out how to write measures to calculate the categories. I can calculate them for a static point in time but not in a way that they take the date categories into account. What should I look into? Thanks fory any help!
Solved! Go to Solution.
I managed to sort out a calculation like this:
High Donors =
CALCULATE (
[Active Donors],
FILTER (
ALL('Donor'),
CALCULATE (
SUM('Transaction'[Amount]),
DATESINPERIOD(
'Calendar'[Date],
LASTDATE('Calendar'[Date]),
-12,
MONTH
)
) >= 500
)
)
Would you say this is the right approach?
When I add the three categories as measures to my table it is taking a long time to calculate. Is there a better way to achieve this?
Hi @PBI-Bro ,
Based on your description, you are looking to create a table visualization that displays the number of active donors along with their categories by time period. To calculate the donor categories dynamically based on the amount donated over the last 12 months, you'll need to write DAX measures that take into account the time intelligence functions.
Here's another expression based on the MEASUR you created, you can try this MEASURE to see if it improves your computation speed. The rest of the levels of MEASURE you can achieve by changing the scope of the restrictions
High Category Donors =
CALCULATE(
COUNTROWS(
VALUES('Donor'[DonorID])
),
FILTER(
SUMMARIZE(
'Transaction',
'Donor'[DonorID],
"TotalDonation", CALCULATE(SUM('Transaction'[Amount]), 'Transaction'[Status] = "Booked")
),
[TotalDonation] > 500
),
DATESBETWEEN('Calendar'[Date], DATEADD(LASTDATE('Calendar'[Date]), -1, YEAR), LASTDATE('Calendar'[Date]))
)
Best regards
Albert He
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly
I managed to sort out a calculation like this:
High Donors =
CALCULATE (
[Active Donors],
FILTER (
ALL('Donor'),
CALCULATE (
SUM('Transaction'[Amount]),
DATESINPERIOD(
'Calendar'[Date],
LASTDATE('Calendar'[Date]),
-12,
MONTH
)
) >= 500
)
)
Would you say this is the right approach?
When I add the three categories as measures to my table it is taking a long time to calculate. Is there a better way to achieve this?
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