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Hi I have following table with Items sale per month e year per row.
Each items has more record
| Item_No | Somma di Sales_Entry_No | Sales_Post_Date | Somma di Sold_Quantity | Month | Year |
| T- Shirt 32 | 8149 | 10/06/2021 00:00 | 0 | Giugno | 2021 |
| T- Shirt 32 | 8237 | 16/06/2021 00:00 | 25 | Giugno | 2021 |
| T- Shirt 32 | 30875 | 28/06/2022 00:00 | 0 | Giugno | 2022 |
| T- Shirt 32 | 30970 | 30/06/2022 00:00 | 25 | Giugno | 2022 |
| Jacket 211 | 6527 | 04/05/2021 00:00 | 0 | Maggio | 2021 |
| Jacket 211 | 6528 | 05/05/2021 00:00 | 400 | Maggio | 2021 |
| Jacket 211 | 34239 | 13/12/2021 00:00 | 200 | Dicembre | 2021 |
| Jacket 211 | 51688 | 15/12/2021 00:00 | 0 | Dicembre | 2021 |
| Jacket 211 | 38939 | 05/01/2022 00:00 | 600 | Gennaio | 2022 |
| Jacket 211 | 49761 | 17/02/2022 00:00 | 400 | Febbraio | 2022 |
| Jacket 211 | 83009 | 20/04/2022 00:00 | 500 | Aprile | 2022 |
| Jacket 211 | 71665 | 05/12/2022 00:00 | 500 | Dicembre | 2022 |
| Jacket 211 | 144664 | 15/12/2022 00:00 | 1200 | Dicembre | 2022 |
| Jacket 211 | 75404 | 06/02/2023 00:00 | 800 | Febbraio | 2023 |
| Socket | 14734 | 05/03/2021 00:00 | 200 | Marzo | 2021 |
| Socket | 37830 | 16/07/2021 00:00 | 50 | Luglio | 2021 |
| Socket | 19327 | 19/07/2021 00:00 | 0 | Luglio | 2021 |
| Socket | 19415 | 20/07/2021 00:00 | 200 | Luglio | 2021 |
| Socket | 60562 | 25/10/2021 00:00 | 200 | Ottobre | 2021 |
| Socket | 116334 | 11/05/2022 00:00 | 250 | Maggio | 2022 |
| Socket | 72099 | 12/12/2022 00:00 | 200 | Dicembre | 2022 |
I would like to create a new table with aggred Item per sale last 12 month
for instance
| Item_No | Sold_Quantity 12 month |
| T- Shirt 32 | 35456 |
| Jacket 211 | 232456 |
| Socket | 12345 |
@fabiopaturzo , better to create a measure with help from date table
example
Rolling 12 = CALCULATE(sum(Sales[Sales Amount]),DATESINPERIOD('Date'[Date],MAX('Date'[Date]),-12,MONTH))
window function you can also use
Power BI Window function Rolling, Cumulative/Running Total, WTD, MTD, QTD, YTD, FYTD: https://youtu.be/nxc_IWl-tTc
I would like to have the total sales per Item
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