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Hi
I have a table like below, more complicated of course.
| Product | Price | Create Date |
| A | 5 | 10.05.2021 |
| A | 7 | 30.04.2021 |
| A | 9 | 20.04.2021 |
| A | 2 | 05.03.2021 |
| A | 4 | 06.01.2021 |
| B | 3,3 | 10.05.2021 |
| B | 2,6 | 30.04.2021 |
| B | 1,9 | 20.04.2021 |
| B | 1,2 | 05.03.2021 |
| B | 0,5 | 10.05.2021 |
| C | 5 | 30.04.2021 |
| C | 3 | 20.04.2021 |
| C | 2 | 05.03.2021 |
| C | 4 | 10.05.2021 |
| C | 9 | 30.04.2021 |
| D | 5 |
Now, I want to create another table, based on the above one, with the latest prices for each product.
(SUMMARIZE/SUMMARIZECOLUMNS function I think)
Please, keep in mind, if the date is blank, it should be kept too. (example - product D)
Solved! Go to Solution.
Hi @pawelj795 ,
Create a column to get max date for each product.
Column = IF(ISBLANK('Table'[Create Date]),BLANK(),MAXX(ALLEXCEPT('Table','Table'[Product]),'Table'[Create Date]))
Then filter the table with date = max date and date = blank.
Table 2 = FILTER('Table','Table'[Create Date]='Table'[Column]||'Table'[Column]=BLANK())
Best Regards,
Jay
Hi @pawelj795 ,
Create a column to get max date for each product.
Column = IF(ISBLANK('Table'[Create Date]),BLANK(),MAXX(ALLEXCEPT('Table','Table'[Product]),'Table'[Create Date]))
Then filter the table with date = max date and date = blank.
Table 2 = FILTER('Table','Table'[Create Date]='Table'[Column]||'Table'[Column]=BLANK())
Best Regards,
Jay
Hi, @pawelj795
Please check the below.
I created it in two steps.
Hi, My name is Jihwan Kim.
If this post helps, then please consider accept it as the solution to help other members find it faster, and give a big thumbs up.
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@pawelj795 , Try a table like
addcolumns(summarize(Table, Table[Product], "_1", max(Table[Create Date])), "_2", calculate(Max(Table[Price]), filter(Table, Table[Create Date] =_1)))
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