Filter Aggregate field work around?
Hello,
My delema is that I have a Start Date, Phone numbers, and a #Max Call field for particular campaigns. What I need to do, is figure out the count of a single phone number called with a certain start date and see if it ends up exceeding the max call nummber.
I actually managed to do this in a table with
case
when `Wireless_Flag`='YES' and (COUNT(`Phone_Number`))>(SUM(`WirelessAttempts`))
then 'Flag'
else 'Clear'
end
So it tells me if a particular phone number was called greater than the max number in was supposed to within a particular campaign... and "flags" it. This is an aggregated field... So I am not able to filter it to only "Flag'.
But I want a table of ONLY the flags. Is this at all possible?
Comments
-
This is a beast mode, right? In it you're trying to compare a single row of data to a conditional aggregated value. Beast mode doesn't like that kind of comparison. It likes columns vs columns or aggregations vs aggregations.
You'd have to bring the data into a dataflow to get the counting (find the count then apply it to the rows), then in the card's beast mode you can do a column comparison, which you can use in a filter.
Let me know if I'm way off base or this doesn't make sense.
Aaron
MajorDomo @ Merit Medical
**Say "Thanks" by clicking the heart in the post that helped you.
**Please mark the post that solves your problem by clicking on "Accept as Solution"0
Categories
- All Categories
- 1.7K Product Ideas
- 1.7K Ideas Exchange
- 1.5K Connect
- 1.2K Connectors
- 295 Workbench
- 6 Cloud Amplifier
- 8 Federated
- 2.8K Transform
- 97 SQL DataFlows
- 608 Datasets
- 2.1K Magic ETL
- 3.8K Visualize
- 2.4K Charting
- 710 Beast Mode
- 49 App Studio
- 39 Variables
- 667 Automate
- 170 Apps
- 446 APIs & Domo Developer
- 44 Workflows
- 7 DomoAI
- 33 Predict
- 13 Jupyter Workspaces
- 20 R & Python Tiles
- 391 Distribute
- 111 Domo Everywhere
- 274 Scheduled Reports
- 6 Software Integrations
- 115 Manage
- 112 Governance & Security
- Domo Community Gallery
- 31 Product Releases
- 9 Domo University
- 5.3K Community Forums
- 40 Getting Started
- 30 Community Member Introductions
- 103 Community Announcements
- 4.8K Archive