Forum Discussion
Variance between rows if multiple entries exist in specified timeframe
Hi,
Fairly new to PowerBI here so sorry if this is something that should be straightforward.
I have a parent table that has Unique ID for each row.
I have a child table that gets written to by an app every time a record is modified. What the modification is could be any of the fields.
My requirement is to be able to check through the child table for each parent entry, and identify the variance between the "Current Score" in the most recent item and "Current Score" in any previous item with the same foreign key that falls within the time period specified.
e.g.
| Foreign Key ID | Date | Current Score |
| 1 | 1/1/2020 | 15 |
| 1 | 18/12/2019 | 10 |
| 1 | 20/11/2019 | 8 |
| 1 | 25/10/2019 | 11 |
So depending on the date range selected by the user I could return a variance between the current score of 15 and any of the other scores associated with that ID.
Hope this makes sense.
Thanks
- Anonymous6 years ago
Hi greenawayr,
In fact, I already filter on the 'parent' field to find out the minimum date based on its 'id' and stored into a variable.
After these steps, you can use current id and the first date to lookup the correspond score and calculate with the current score to get the diff.Diff = VAR currScore = MAX ( LIVE[Score] ) VAR currID = MAX ( LIVE[ID] ) VAR currDate = MAX ( LIVE[Modified] ) VAR prevDate = CALCULATE ( MIN ( Staging[Modified] ), FILTER ( ALLSELECTED ( Staging ), [ParentID] = currID && [Modified] <= currDate - 30 ) ) VAR prevScore = LOOKUPVALUE ( Staging[Score], Staging[ParentID], currID, Staging[Modified], prevDate ) RETURN IF ( prevDate <> BLANK (), currScore - prevScore, 0 )BTW, My formula is a measure, please not use it in a calculated column.
Regards,
Xiaoxin Sheng
7 Replies
- amitchandakSuper User
One way to get it in the table having the primary key is
Max date in Table 1 = maxx(filter(table2,table1[Primary Key] = table2[Foreign Key ID] ,table[Date]) Score in Table 1 = maxx(filter(table2,table1[Primary Key] = table2[Foreign Key ID] && table1[Max date in Table 1] = table2[Date],table[Date])Appreciate your Kudos. In case, this is the solution you are looking for, mark it as the Solution. In case it does not help, please provide additional information and mark me with @
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Connect on Linkedin - AnonymousNot applicable
HI greenawayr ,
I'd like to suggest you use parent key id to lookup related detail records, then you can do variance calculation by VARX.P VARX.S functions. BTW, can you please share the parent table structure to help us clarify your requirement for test?
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Regards,Xiaoxin Sheng
- greenawayrHelper I
Thanks,
So I'm dealing with a "LIVE" table and a "Staging" table. So the schemas are much the same, but the live table only holds one row per record and the staging table holds a record for each modifcation made to the parent record.
So LIVE
ID MODIFIED Score 1 01/22/2020 15 2 01/22/2020 8 3 01/20/2020 12 and Staging
RowID ParentID Modified Score 6 2 01/22/2020 8 5 1 01/22/2020 15 4 3 01/20/2020 12 3 2 01/10/2020 12 2 2 12/20/2019 11 1 1 12/05/2019 13 So for the LIVE table, ID 2, it's current score is 8, but 30 days ago it was 11 (we ignore the score change that made it 12, we just want the score as it was 30 days ago) and the variance is -3.
Hope this helps. Thanks
- AnonymousNot applicable
Hi greenawayr,
You can try to use the following measure formula to get the diff between the current 'live' score and filtered first 'staging' score based on 'ID' group:
Diff = VAR currScore = MAX ( LIVE[Score] ) VAR currID = MAX ( LIVE[ID] ) VAR currDate = MAX ( LIVE[Modified] ) VAR prevDate = CALCULATE ( MIN ( Staging[Modified] ), FILTER ( ALLSELECTED ( Staging ), [ParentID] = currID ) ) VAR prevScore = LOOKUPVALUE ( Staging[Score], Staging[ParentID], currID, Staging[Modified], prevDate ) RETURN currScore - prevScoreRegards,
Xiaoxin Sheng