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Hello,
I have a table like the following one:
| Item | Date | Value |
| A | 01/01/2021 | 5 |
| A | 01/02/2021 | 6 |
| A | 01/03/2021 | 2 |
| A | 01/04/2021 | 1 |
| B | 01/01/2021 | 1 |
| B | 01/02/2021 | |
| B | 01/03/2021 | 5 |
| B | 01/04/2021 | 1 |
| C | 01/01/2021 | |
| C | 01/02/2021 | 3 |
| C | 01/03/2021 | 3 |
| C | 01/04/2021 | 1 |
The actual table is much longer but a simplified problem is always better to find a solution. Some items don't have a value.
I made a line chart that shows the SUM of all the values by date. The problem is that at each point I'm adding differents items since not all of them have a value (e.g. the added value for 01/2021 will be 6 -A+B- where C has no value but for 03/2021 it will be 10 -A+B+C-).
I would like to create another table for a given year (let's say 2021) where I will be able to have all the common items with a value for each month of the year:
| Item | Date | Value |
| A | 01/03/2021 | 2 |
| B | 01/03/2021 | 5 |
| C | 01/03/2021 | 3 |
| A | 01/04/2021 | 1 |
| B | 01/04/2021 | 1 |
| C | 01/04/2021 | 1 |
If a given item doesn't have a value for one month in the year it won't be included but all the items with values for all the months in the year will be included.
Help please ?
Hey, you can try something like the below:
NewTable =
var datesWithBlank = SELECTCOLUMNS(FILTER('Table', ISBLANK('Table'[Value])), "dates", 'Table'[Date])
return FILTER('Table', NOT('Table'[Date]) in datesWithBlank)
the idea is to get a list of dates with those missing, and then use those as a filter.
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