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Hi All,
I've been using chatbots but i cannot find a way to create a total column in a matrix for the difference between two columns. The columns in this Matrix are ordered by a fiscal week column in my dataset.Would it be possible to create an additional column that could show the Delta between weeks 35 and 36 for example?
Any help is really appreciated, thank you.
Hi @Kieran-q_20
Please share sample data and screenshot of requirement
Thanks
Pijush
Proud to be a Super User! | |
Hi Pijush,
I have attatched a sample of the data at the bottom below, unfortunately i could not use the exact data as it is for work but i recreated the file with only relevent information to my request. In the sample data is three columns, the SLOC column is an identifier which makes up the rows of my matrix in PowerBI, the total cost column makes up the values in my PowerBI matrix and finally the calender week column would make up the columns in my matrix.
The screenshot attatched below shows my requirment, is there a way to create an additional column here in this matrix that would show the Delta between the displayed Weeks?
| SLOC | Total Cost | Calender Week |
| BRS1 | 0.04 | Week 36 |
| RMA1 | 3305.75 | Week 36 |
| INT1 | Week 36 | |
| DRS6 | Week 36 | |
| RMA1 | Week 36 | |
| RMA1 | Week 36 | |
| RMA2 | 0 | Week 36 |
| RMA4 | 397028.04 | Week 36 |
| INT1 | 28557.05 | Week 36 |
| DRS6 | Week 36 | |
| INT2 | 154721.58 | Week 36 |
| DRE2 | 191175.72 | Week 36 |
| DRE6 | 102163.72 | Week 36 |
| DRS6 | 0 | Week 36 |
| DRS1 | 51158.67 | Week 36 |
| EX02 | 869171.11 | Week 36 |
| EX06 | 50767.37 | Week 36 |
| DRT2 | 0 | Week 36 |
| IC01 | 208456.87 | Week 36 |
| HP01 | 0 | Week 36 |
| HP02 | 2879.01 | Week 36 |
| LOG1 | 119196.2 | Week 36 |
| LOG2 | 1092.57 | Week 36 |
| LOG8 | 643.86 | Week 36 |
| BRS1 | 0.04 | Week 37 |
| RMA1 | 3305.75 | Week 37 |
| RMA2 | 0 | Week 37 |
| RMA4 | 397028.04 | Week 37 |
| INT1 | 28557.05 | Week 37 |
| INT2 | 154721.58 | Week 37 |
| DRE2 | 191175.72 | Week 37 |
| DRE6 | 102163.72 | Week 37 |
| DRS6 | 0 | Week 37 |
| DRS1 | 51158.67 | Week 37 |
| EX02 | 869171.11 | Week 37 |
| EX06 | 50767.37 | Week 37 |
| DRT2 | 0 | Week 37 |
| IC01 | 208456.87 | Week 37 |
| HP01 | 0 | Week 37 |
| HP02 | 2879.01 | Week 37 |
| LOG1 | 119196.2 | Week 37 |
| LOG2 | 1092.57 | Week 37 |
| LOG8 | 643.86 | Week 37 |
| RMA1 | 0 | Week 38 |
| RMA1 | 51158.67 | Week 38 |
| RMA2 | 869171.11 | Week 38 |
| RMA4 | 50767.37 | Week 38 |
| INT1 | 0 | Week 38 |
| DRS6 | 208456.87 | Week 38 |
| INT2 | 0 | Week 38 |
| DRE2 | 2879.01 | Week 38 |
| DRE6 | 119196.2 | Week 38 |
| DRS6 | 1092.57 | Week 38 |
| DRS1 | 643.86 | Week 38 |
| EX02 | 0 | Week 38 |
| EX06 | 51158.67 | Week 38 |
| DRT2 | 869171.11 | Week 38 |
| IC01 | 50767.37 | Week 38 |
| HP01 | 0 | Week 38 |
| DRE6 | 208456.87 | Week 38 |
| DRS6 | 0 | Week 38 |
| DRS1 | 2879.01 | Week 38 |
| LOG8 | 119196.2 | Week 39 |
| RMA1 | 1092.57 | Week 39 |
| RMA1 | 643.86 | Week 39 |
| RMA2 | 0 | Week 39 |
| RMA4 | 51158.67 | Week 39 |
| INT1 | 869171.11 | Week 39 |
| DRT2 | 50767.37 | Week 39 |
| IC01 | 0 | Week 39 |
| HP01 | 208456.87 | Week 39 |
| DRE6 | 0 | Week 39 |
| DRS6 | 2879.01 | Week 39 |
| DRS1 | 119196.2 | Week 39 |
| DRS6 | 1092.57 | Week 39 |
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