March 31 - April 2, 2025, in Las Vegas, Nevada. Use code MSCUST for a $150 discount! Early bird discount ends December 31.
Register NowBe one of the first to start using Fabric Databases. View on-demand sessions with database experts and the Microsoft product team to learn just how easy it is to get started. Watch now
I need to calculate the percentage of calculated column B, based on column A +B. I have two calculated columns, each one for a customer segment.
A - Column Retention = Customers that had their first purchase before 2021
Formula:
Vendas clientes Retenção < 2021 =
VAR m = 'Base Clientes e Pedidos'[Data_primeiro_pedido]
RETURN
CALCULATE(DISTINCTCOUNT('Base Clientes e Pedidos'[id_pedido_promob]),
FILTER('Base Clientes e Pedidos', m <= DATE(2021,01,01)))
B - Column New Clientes = Customers that had their first purchase after 2021
Formula:
Vendas clientes novos >2021 =
VAR m = 'Base Clientes e Pedidos'[Data_primeiro_pedido]
RETURN
CALCULATE(DISTINCTCOUNT('Base Clientes e Pedidos'[id_pedido_promob]),
FILTER('Base Clientes e Pedidos', m >= DATE(2021,01,01)))
I'm having a hard time to calculate the percentage % of new clients based on the calculated columns.
What i need: B/(A+B)
I've tried:
% Venda para Novos =
VAR m = 'Base Clientes e Pedidos'[Data_primeiro_pedido]
RETURN
DIVIDE(CALCULATE(DISTINCTCOUNT('Base Clientes e Pedidos'[id_pedido_promob]),
FILTER('Base Clientes e Pedidos', m >= DATE(2021,01,01)
)
), DISTINCTCOUNT('Base Clientes e Pedidos'[id_pedido_promob])
)
But it doesn't work as expected, returning the value of column B instead of B/(A+B)
Solved! Go to Solution.
Do you really create two calculated columns or measures?
You can try this:
MEASURE =
VAR m = 'Base Clientes e Pedidos'[Data_primeiro_pedido]
VAR _2021 =
CALCULATE(DISTINCTCOUNT('Base Clientes e Pedidos'[id_pedido_promob]),
FILTER('Base Clientes e Pedidos', m <= DATE(2021,01,01)))
VAR _2022 =
RETURN
_2021/(_2021+_2022)
If it not work. Please post your underlaying data structure and where do you want to use this measure.
AND be aware of <= and >=. In This case you will count rows with 2021-01-01 twice!
Proud to be a Super User!
I've tried both solutions, but it doesn't allow me to filter data to each Sales Person
As follow:
Change ...
FILTER(ALL('Base Clientes e Pedidos'), 'Base Clientes e Pedidos'[Data_primeiro_pedido]
To...
FILTER(ALL('Base Clientes e Pedidos'[Data_primeiro_pedido]), 'Base Clientes e Pedidos'[Data_primeiro_pedido]
Try the following...
% Venda para Novos =
VAR B = CALCULATE(DISTINCTCOUNT('Base Clientes e Pedidos'[id_pedido_promob]),
FILTER(ALL('Base Clientes e Pedidos'), 'Base Clientes e Pedidos'[Data_primeiro_pedido] >= DATE(2021,01,01)))
VAR A = CALCULATE(DISTINCTCOUNT('Base Clientes e Pedidos'[id_pedido_promob]),
FILTER(ALL('Base Clientes e Pedidos'), 'Base Clientes e Pedidos'[Data_primeiro_pedido] < DATE(2021,01,01)))
RETURN DIVIDE(B,A+B,0)
Do you really create two calculated columns or measures?
You can try this:
MEASURE =
VAR m = 'Base Clientes e Pedidos'[Data_primeiro_pedido]
VAR _2021 =
CALCULATE(DISTINCTCOUNT('Base Clientes e Pedidos'[id_pedido_promob]),
FILTER('Base Clientes e Pedidos', m <= DATE(2021,01,01)))
VAR _2022 =
RETURN
_2021/(_2021+_2022)
If it not work. Please post your underlaying data structure and where do you want to use this measure.
AND be aware of <= and >=. In This case you will count rows with 2021-01-01 twice!
Proud to be a Super User!
Hello, i've created calculated columns, thats why i could calculate each row. Changin it to measure and it worked!
March 31 - April 2, 2025, in Las Vegas, Nevada. Use code MSCUST for a $150 discount!
Your insights matter. That’s why we created a quick survey to learn about your experience finding answers to technical questions.
Arun Ulag shares exciting details about the Microsoft Fabric Conference 2025, which will be held in Las Vegas, NV.
User | Count |
---|---|
25 | |
18 | |
15 | |
9 | |
8 |
User | Count |
---|---|
37 | |
32 | |
18 | |
16 | |
13 |