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Reposting this with clearer table
So I have a table like so:
| Region | Name | Flag | Count of Job ID |
| North | John | On | 12 |
| South | Drake | Off | 11 |
| South | Jason | On | 5 |
| West | Kendall | Off | 9 |
| South | Jenny | Off | 13 |
| East | Sam | On | 8 |
The last column is a count of Job ID, which is a text type column. As an example, there are 12 Job ID entries with region North, name John, and flag On. I want a card that shows the number of entries that are "Off" and have a count higher than 10.
The preferred outcome would be a card displaying 2 since there are two rows that fit those criteria. How would I go about doing that?
Solved! Go to Solution.
And voila:
See attached .pbix file
So the data coming in (from direct query) looks like this:
| Region | Name | Flag | Job ID |
| North | John | On | 16127 |
| North | John | On | 77647 |
| North | John | On | 41588 |
| North | John | On | 46424 |
| North | John | On | 24132 |
| North | John | On | 56180 |
| North | John | On | 57396 |
| North | John | On | 41324 |
| North | John | On | 8899 |
| North | John | On | 809 |
| North | John | On | 19558 |
| North | John | On | 91024 |
| North | John | On | 90642 |
| South | Drake | Off | 52577 |
| South | Drake | Off | 76784 |
| South | Drake | Off | 81416 |
| South | Drake | Off | 77264 |
| South | Drake | Off | 53032 |
| South | Drake | Off | 25992 |
| South | Drake | Off | 50560 |
| South | Drake | Off | 20368 |
| South | Drake | Off | 81093 |
| South | Drake | Off | 97126 |
| South | Drake | Off | 46680 |
| South | Drake | Off | 59402 |
| South | Jason | On | 93735 |
| South | Jason | On | 24804 |
| South | Jason | On | 8312 |
| South | Jason | On | 96618 |
| South | Jason | On | 5066 |
...etc
And the table created above has the column "Count of Job ID" through Power BI. "Count of Job ID" is not an actual column, it's more like a measure. It's an aggregate count of "Job ID". So I can't use the function you've provided since "Count of Job ID" is not a column in my table.
That totally worked! Thank you so much!
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