I'm stuck. Sum of a Windowed/Partitioned Sum???
chapman
Member
in Beast Mode
I keep running into a wall with this. I think there is an easy answer, I just can't find it for the life of me.
- My dataset contains one row per store, per day.
- I want to display -- by region -- the count of stores with an average order value (AOV) less than $20.
- In order to do that, I first need to calculate AOV by store for the period.
I'm having trouble understanding why this won't work:
SUM( CASE WHEN (SUM(`Revenue`) / SUM(`Transactions`)) < 20 THEN 1 ELSE 0 END ) OVER (PARTITION BY `Store`)
I have also tried multiple iterations of this, to no avail:
COUNT( CASE WHEN SUM(SUM(`Revenue`) FIXED (BY `Store)) / SUM(SUM(`Transactions`) FIXED (BY `Store`)) < 20 THEN 1 END ) OVER (PARTITION BY `Region`)
Here is a mockup in Excel, with yellow to represent beast modes.
Tagged:
0
Answers
-
Hi @chapman
So I think you're close, but just need to move some things around. I made a video for you to show you how:
https://www.loom.com/share/295fd98f101c4ef0b5a6a7e6ddce4363
Good luck,
John Le
You're only one dashboard away.
More video solutions at: https://www.dashboarddudes.com/pantry
John Le
You're only one dashboard away.
Click here for more video solutions:
1
Categories
- All Categories
- 1.8K Product Ideas
- 1.8K Ideas Exchange
- 1.5K Connect
- 1.2K Connectors
- 296 Workbench
- 6 Cloud Amplifier
- 8 Federated
- 2.9K Transform
- 100 SQL DataFlows
- 614 Datasets
- 2.2K Magic ETL
- 3.8K Visualize
- 2.5K Charting
- 729 Beast Mode
- 53 App Studio
- 40 Variables
- 677 Automate
- 173 Apps
- 451 APIs & Domo Developer
- 45 Workflows
- 8 DomoAI
- 34 Predict
- 14 Jupyter Workspaces
- 20 R & Python Tiles
- 394 Distribute
- 113 Domo Everywhere
- 275 Scheduled Reports
- 6 Software Integrations
- 121 Manage
- 118 Governance & Security
- Domo Community Gallery
- 32 Product Releases
- 10 Domo University
- 5.4K Community Forums
- 40 Getting Started
- 30 Community Member Introductions
- 108 Community Announcements
- 4.8K Archive