Hi All,
Please refer to the below sample data :
Country | Vehicle | Type | Engine | Sales | Sales Final |
USA | Cars | Sedan | Engine1 | 500 | 500 |
USA | Bus | Double | Engine1 | 700 | 700 |
Germany | Cars7 | Small | Engine2 | 67 | 500 |
Germany | Bus4 | Third | Engine2 | 33 | 700 |
Korea | Bus2 | Engine3 | 56 | 500 | |
Korea |
| Engine3 | 72 | 700 |
I need to derive in a flow the last column. The last column is based on the USA data. We just need to fill in the USA data accordingly for Germany and Korea.
Sometimes the data in Vehicle and Type would be missing, but still the data is to be derived in last column. Any idea on the logic to be used here.
Please note that my filters would work on the 'Engine' field
Thanks
Solved! Go to Solution.
Hi @ehughes
Here what I notice is in the first column filter is hardcoded to USA.
Now as per my previous post , I have 3 levels with different values.
Any thoughts how I can handle the filter in the flow you shared ?
Thanks
Hi Gallop,
Do you want a column for each country? Or do you want the user to be able to select which country to copy to the final column?
Hi @DavidP
Yes you are right...the join and union do not work since my data has null records.
Any other way to work this out ?
Thanks