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Hi,
Share some data and show the expected result.
Here is a set of dummy data with a demo of what I am trying to do. The last column is what I am trying to create in BI, but I want to do this calculation using different filter contexts changing the # of "widgets sold" for non 1 year periods back through time:
| Widgets | Dates | Rolling Average Previous 12 Months | Rolling Average Month 13-24 | Growth Between Two Rolling Averages |
| 146 | Jan-16 | N/a | N/a | N/a |
| 322 | Feb-16 | N/a | N/a | N/a |
| 131 | Mar-16 | N/a | N/a | N/a |
| 335 | Apr-16 | N/a | N/a | N/a |
| 258 | May-16 | N/a | N/a | N/a |
| 180 | Jun-16 | N/a | N/a | N/a |
| 110 | Jul-16 | N/a | N/a | N/a |
| 345 | Aug-16 | N/a | N/a | N/a |
| 385 | Sep-16 | N/a | N/a | N/a |
| 135 | Oct-16 | N/a | N/a | N/a |
| 250 | Nov-16 | 236.0909091 | N/a | N/a |
| 418 | Dec-16 | 251.25 | N/a | N/a |
| 267 | Jan-17 | 261.3333333 | N/a | N/a |
| 19 | Feb-17 | 236.0833333 | N/a | N/a |
| 300 | Mar-17 | 250.1666667 | N/a | N/a |
| 252 | Apr-17 | 243.25 | N/a | N/a |
| 264 | May-17 | 243.75 | N/a | N/a |
| 123 | Jun-17 | 239 | N/a | N/a |
| 94 | Jul-17 | 237.6666667 | N/a | N/a |
| 1 | Aug-17 | 209 | N/a | N/a |
| 294 | Sep-17 | 201.4166667 | N/a | N/a |
| 476 | Oct-17 | 229.8333333 | N/a | N/a |
| 373 | Nov-17 | 240.0833333 | 236.0909091 | 2% |
| 146 | Dec-17 | 217.4166667 | 251.25 | -13% |
| 385 | Jan-18 | 227.25 | 261.3333333 | -13% |
| 21 | Feb-18 | 227.4166667 | 236.0833333 | -4% |
| 11 | Mar-18 | 203.3333333 | 250.1666667 | -19% |
| 219 | Apr-18 | 200.5833333 | 243.25 | -18% |
| 88 | May-18 | 185.9166667 | 243.75 | -24% |
| 7 | Jun-18 | 176.25 | 239 | -26% |
| 297 | Jul-18 | 193.1666667 | 237.6666667 | -19% |
| 363 | Aug-18 | 223.3333333 | 209 | 7% |
| 18 | Sep-18 | 200.3333333 | 201.4166667 | -1% |
| 396 | Oct-18 | 193.6666667 | 229.8333333 | -16% |
| 242 | Nov-18 | 182.75 | 240.0833333 | -24% |
| 350 | Dec-18 | 199.75 | 217.4166667 | -8% |
| 341 | Jan-19 | 196.0833333 | 227.25 | -14% |
| 65 | Feb-19 | 199.75 | 227.4166667 | -12% |
| 491 | Mar-19 | 239.75 | 203.3333333 | 18% |
| 442 | Apr-19 | 258.3333333 | 200.5833333 | 29% |
| 8 | May-19 | 251.6666667 | 185.9166667 | 35% |
| 156 | Jun-19 | 264.0833333 | 176.25 | 50% |
| 306 | Jul-19 | 264.8333333 | 193.1666667 | 37% |
| 243 | Aug-19 | 254.8333333 | 223.3333333 | 14% |
Hi,
The third colum there seems like a measure. Can you share the raw data.
Hi datakid1230,
Remove the all statement and try again:
Result =
CALCULATE (
[Daily Average Sales],
DATESBETWEEN (
'Calendar'[Date].[Date],
DATE ( 2017, 8, 1 ),
DATE ( 2018, 3, 31 )
),
DATESBETWEEN (
'Calendar'[Date],
LASTDATE ( 'Calendar'[Date] ) - 365,
LASTDATE ( 'Calendar'[Date] )
)
)
Regards,
Jimmy Tao
Hi @Anonymous
Can you share the pbix? It would be much easier to see what is going on
No I can't share the information sorry. No worries if there is not enough information to provide an answer.
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