How to create a calculated field based on the metrics from 2 different dataset?

Hi Team,

I have 2 different datasets.
1)rl_transformation
2)test visualization.

I have one metrics calculated_weight in rl_transformation dataset & in test visualization dataset i have target metric.
now i want to divide calculated_weight by target .

The formula is
rating= calculated_weight / target.
=24,076.46/32,593,743
=0.07387(expected answer)

I have some common filters(parameter) on both dataset.
age,gender ,region and date.

and few diffrent filters on rl_transaformation dataset.

after applying above filters whatever the data is filtered out on both dataset data will be taken into consideration.

I have tried this using creating parameter (calculated field) but result is not correct.

Hello @suraj.nimse !

Looks like someone ran into a similar issue in this post thread if you want to check it out. Have you tried this yet? > Using level-aware calculations in Amazon QuickSight - Amazon QuickSight

I’ll try Using level-aware calculations in Amazon Quick Sight.
Rest all solutions tried mentioned in the following similar issues.

It will be great if any other solution is there.

There’s no ability to create a calculated field based on metrics from 2 different datasets.

I can mark it as a feature request.