Replacing nulls when adding across columns
I have a table which contains null values, and I want to get a dynamic (i.e. it responds to filters - therefore has to be done in beast mode, as I understand) total of values across three columns, keeping null values in the orignal columns but treating them as '0's for the purpose of the calculation. I have tried several methods none of which work, my most recent attempt is:
(case when LENGTH(`2016`) = 0 then 0 else `2016` end)+
(case when LENGTH(`2017`) = 0 then 0 else `2017` end)+
(case when LENGTH(`2018`) = 0 then 0 else `2018` end)
Can anyone point out where I am going wrong? For context, I want to use the new column ultimately to calculate a % of grand total (of displayed data), and belive this is the first step.
Best Answer
-
Solution was
(CASE WHEN `2016` IS NULL THEN '0' ELSE `2016` END)+
(CASE WHEN `2017` IS NULL THEN '0' ELSE `2017` END)+
(CASE WHEN `2018` IS NULL THEN '0' ELSE `2018` END)I think NULL has to be capitalised, as I had tried somethign simiilar before without success.
0
Answers
-
Solution was
(CASE WHEN `2016` IS NULL THEN '0' ELSE `2016` END)+
(CASE WHEN `2017` IS NULL THEN '0' ELSE `2017` END)+
(CASE WHEN `2018` IS NULL THEN '0' ELSE `2018` END)I think NULL has to be capitalised, as I had tried somethign simiilar before without success.
0
Categories
- All Categories
- 1.4K Product Ideas
- 1.4K Ideas Exchange
- 1.4K Connect
- 1.2K Connectors
- 284 Workbench
- 4 Cloud Amplifier
- 4 Federated
- 2.9K Transform
- 88 SQL DataFlows
- 554 Datasets
- 2.2K Magic ETL
- 3.3K Visualize
- 2.3K Charting
- 561 Beast Mode
- 9 App Studio
- 27 Variables
- 577 Automate
- 140 Apps
- 414 APIs & Domo Developer
- 22 Workflows
- 1 DomoAI
- 28 Predict
- 12 Jupyter Workspaces
- 16 R & Python Tiles
- 350 Distribute
- 90 Domo Everywhere
- 258 Scheduled Reports
- 2 Software Integrations
- 91 Manage
- 88 Governance & Security
- 9 Product Release Questions
- Community Forums
- 42 Getting Started
- 28 Community Member Introductions
- 85 Community Announcements
- 4.8K Archive