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I am trying to compare Snapshots for sales activity history. We have created daily snapshots and then made a copy of the snapshot table. The user can filter both tables independently to select the two Snapshot Dates they want to compare.
Below is an example.. we can count the number of deals that start in P1 and Status and then the Number of items in P1 and Status.
The challenge is to count the number of "NEW" items in P2 table. That is they were created after the user selected snapshot date for P1. So id 63636 is NEW in P2 based on the fact that it was created after the P1 Date and is in the P2 Date snapshot. We want to count these items and also sum the amount of New Items.
Having trouble getting the DAX correct to first find the "New" items and then count them.
Appreciate the quick response. however, the countrows function does not work.. or at least I can't make it work. but let me provide some more details.
Below is a screenshot of what we are trying to do.
We have a daily snapshot table in our Database. WE read that in and then make a COPY of the table. Probably not the most efficient but we don't have a HUGE dataset. WE then allow the user in reports to Select two SNAPshots that they want to compare.
We then need to identify the items in filtered Snapshot 2 that are NOT in the filtered Snapshot 1. We might just count them or we might calcuate(sum,avg etc) the values in other columns. We consider these items to be "NEW" in that they did not exist on the date of filtered Snapshot1 but do exist in Snapshot 2.
This example does not depict all the "Columns/Attributes" that are captured in our snapshots. We will provide slicers/filters for the user to be able to dig down into specifics..
@Ray_Brosius , Assume your date are joined with tables nad filtering those
New id in Table 2, Plot measure with if of Table 2
countrows(filter(Table2, not(Table2[Id] in allselected(Table1[id]) )))
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