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Dear all,
I have a Sales data Set with april 2022 to now. I am updating this every day morning. I need to show below data in same visual ( I use matrix)
Product Code | Sales Month to Date | Sales as at yesterday | sales year to date |
Thanks
Sample data set
product code | inv date | inv value | |
p1 | 01/04/2022 | - | 50 |
p2 | 09/04/2022 | - | 100 |
p1 | 01/05/2022 | - | 300 |
p2 | 11/05/2022 | - | 250 |
p1 | 05/06/2022 | - | 75 |
p2 | 06/06/2022 | - | 50 |
p1 | 08/07/2022 | - | 100 |
p2 | 12/07/2022 | - | 300 |
p1 | 23/07/2022 | - | 250 |
p2 | 30/08/2022 | - | 75 |
p1 | 31/08/2022 | - | 50 |
p2 | 01/09/2022 | - | 100 |
p1 | 11/09/2022 | - | 300 |
p2 | 21/09/2022 | - | 250 |
p1 | 30/09/2022 | - | 75 |
p2 | 01/10/2022 | - | 50 |
p1 | 06/10/2022 | - | 100 |
p2 | 15/10/2022 | - | 300 |
p1 | 02/11/2022 | - | 250 |
p2 | 07/11/2022 | - | 75 |
p1 | 30/11/2022 | - | 50 |
p2 | 01/12/2022 | - | 100 |
p1 | 09/12/2022 | - | 300 |
p2 | 01/01/2023 | - | 250 |
p1 | 02/01/2023 | - | 75 |
p2 | 15/01/2023 | - | 50 |
p1 | 19/01/2023 | - | 100 |
p2 | 04/02/2023 | - | 300 |
p1 | 07/02/2023 | - | 250 |
p2 | 08/02/2023 | - | 75 |
p1 | 15/02/2023 | - | 750 |
try to plot a visual with product code column and multiple measures like:
MTD =
CALCULATE(
SUM(TableName[inv value]),
TableName[inv date]<= TODAY(),
YEAR(TableName[inv date])= YEAR(TODAY()),
MONTH(TableName[inv date])=MONTH(TODAY())
)
LastD =
CALCULATE(
SUM(TableName[inv value]),
TableName[inv date]= TODAY()-1
)
YTD =
CALCULATE(
SUM(TableName[inv value]),
TableName[inv date]<= TODAY(),
YEAR(TableName[inv date])= YEAR(TODAY())
)
TD =
CALCULATE(
SUM(TableName[inv value]),
TableName[inv date]<= TODAY()
)
it worked like:
Sample DATA set
product code | inv date | inv value |
p1 | 01/04/2022 | 50 |
p2 | 09/04/2022 | 100 |
p1 | 01/05/2022 | 300 |
p2 | 11/05/2022 | 250 |
p1 | 05/06/2022 | 75 |
p2 | 06/06/2022 | 50 |
p1 | 08/07/2022 | 100 |
p2 | 12/07/2022 | 300 |
p1 | 23/07/2022 | 250 |
p2 | 30/08/2022 | 75 |
p1 | 31/08/2022 | 50 |
p2 | 01/09/2022 | 100 |
p1 | 11/09/2022 | 300 |
p2 | 21/09/2022 | 250 |
p1 | 30/09/2022 | 75 |
p2 | 01/10/2022 | 50 |
p1 | 06/10/2022 | 100 |
p2 | 15/10/2022 | 300 |
p1 | 02/11/2022 | 250 |
p2 | 07/11/2022 | 75 |
p1 | 30/11/2022 | 50 |
p2 | 01/12/2022 | 100 |
p1 | 09/12/2022 | 300 |
p2 | 01/01/2023 | 250 |
p1 | 02/01/2023 | 75 |
p2 | 15/01/2023 | 50 |
p1 | 19/01/2023 | 100 |
p2 | 04/02/2023 | 300 |
p1 | 07/02/2023 | 250 |
p2 | 08/02/2023 | 75 |
p1 | 15/02/2023 | 750 |
expected out put
Product Code | Sales Month to Date | Sales as at yesterday | sales year to date |
p1 | 1000 | 750 | 3075 |
p2 | 375 | 0 | 2325 |
yes, with three measures each. paste some sample data and let us see.
User | Count |
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54 | |
22 | |
19 | |
16 | |
11 |
User | Count |
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81 | |
55 | |
40 | |
19 | |
12 |