Beast mode count distinct based on subset of data
Hi - I am trying to count distinct patient ids based on a subset of data. My beast calculation is shown below. To explain further, I am in need of the unique patients who are first in the initial group (have at least 1 record with one of the indicated procedure codes), and then, of those patients, how many also have a record with this procedure code 0521F. I can easily get a count of the unique patients for each independently. I just can't get it to work with the dependency. The calculation below indicates it's valid, but gives me a processing error. I've tried adjusting without success.
Is there a way to do this without having to use ETL? It is a huge dataset, so, I'm hoping there is an alternative way. Thanks so much!
( Case when left(`PROCEDURECODE`,5) in ('77427', '99201', '99202','99203', '99204', '99205', '99211', '99212', '99213', '99214', '99215','99241', '99242', '99243', '99244', '99245') then
COUNT(DISTINCT
case when left(`PROCEDURECODE`,5) = '0521F' then `PATIENTID`
end
)
end)
Comments
-
I don't believe this is possible via beastmode. I have heard rumors of being able to add aggregate fields to a filter, but that is not yet in the product so I think you will need to make these changes in a dataflow.
“There is a superhero in all of us, we just need the courage to put on the cape.” -Superman0 -
Thank you! I appreciate the reply.
0
Categories
- 10.5K All Categories
- 8 Connect
- 918 Connectors
- 250 Workbench
- 473 Transform
- 1.7K Magic ETL
- 69 SQL DataFlows
- 478 Datasets
- 209 Visualize
- 257 Beast Mode
- 2.1K Charting
- 12 Variables
- 18 Automate
- 355 APIs & Domo Developer
- 89 Apps
- 3 Workflows
- 20 Predict
- 5 Jupyter Workspaces
- 15 R & Python Tiles
- 247 Distribute
- 63 Domo Everywhere
- 243 Scheduled Reports
- 21 Manage
- 42 Governance & Security
- 183 Product Ideas
- 1.2K Ideas Exchange
- 11 Community Forums
- 27 Getting Started
- 14 Community Member Introductions
- 55 Community News
- 4.5K Archive