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Hello All,
I am a newish user and I have been trying to figure this out for a couple days, so I would appreciate all the help I can get.
Sorting by Date (Oldest to Newest), I would like to remove the last 4 entries for each Item. The Dates are different for each Item, so I couldn't just unpivot and remove the rows. The Items # and name will change so I don't think I can just separate them into their own queries?
Thank you in advance for your help.
Date | Item | Amount |
1/1/2019 | Madison | 14,595 |
2/1/2019 | Madison | 11,342 |
3/1/2019 | Madison | (3,412) |
4/1/2019 | Madison | 13,889 |
5/1/2019 | Madison | 3,393 |
6/1/2019 | Madison | 54,189 |
7/1/2019 | Madison | 26,452 |
8/1/2019 | Madison | 1,413 |
9/1/2019 | Madison | 29,344 |
1/1/2019 | Blake | 17,918 |
2/1/2019 | Blake | 17,990 |
3/1/2019 | Blake | 17,982 |
4/1/2019 | Blake | 17,984 |
5/1/2019 | Blake | (262,889) |
6/1/2019 | Blake | 71,844 |
1/1/2019 | Atrium | 5,388 |
2/1/2019 | Atrium | 5,389 |
3/1/2019 | Atrium | (982,410) |
4/1/2019 | Atrium | (3,273) |
5/1/2019 | Atrium | 104,967 |
6/1/2019 | Atrium | 104,968 |
7/1/2019 | Atrium | 76,594 |
8/1/2019 | Atrium | 66,725 |
1/1/2019 | Daybreak | 147,521 |
2/1/2019 | Daybreak | 147,710 |
3/1/2019 | Daybreak | 147,690 |
4/1/2019 | Daybreak | 147,713 |
Solved! Go to Solution.
In DAX you could add a calculated column to COUNT per category e.g.
Column = VAR _Item = Hotel[Item] VAR _Day = Hotel[Date] RETURN CALCULATE(COUNT(Hotel[Item]), FILTER(Hotel, Hotel[Date] <= _Day && Hotel[Item] = _Item ))
And then create a new table by filtering (where Column > x )
NewTable = FILTER(Hotel, Hotel[Column] > 4)
In DAX you could add a calculated column to COUNT per category e.g.
Column = VAR _Item = Hotel[Item] VAR _Day = Hotel[Date] RETURN CALCULATE(COUNT(Hotel[Item]), FILTER(Hotel, Hotel[Date] <= _Day && Hotel[Item] = _Item ))
And then create a new table by filtering (where Column > x )
NewTable = FILTER(Hotel, Hotel[Column] > 4)
thank you for your help.
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