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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.