The ultimate Fabric, Power BI, SQL, and AI community-led learning event. Save €200 with code FABCOMM.
Get registeredCompete to become Power BI Data Viz World Champion! First round ends August 18th. Get started.
Hi everyone
I have 3 tables.
1) components table: each component is identified by an ID and has some information attached to it
2) Activities table: each activity is performed on a single component, so for a component there's more than one activity
3)location table: it represents the territorial structure of the company, for example city>state
relations between tables are:
1)activities to components based on component ID
2)Components to location using lowest level of location (i.e components are located in a city, the location table attaches state, region and so on)
now what i have to do is to filter activities based on some time conditions and activity type and output an "ok"/"not ok" result, for each component. the measure that i'm building goes like this:
what's the business reason for the bidirectional filter? Maybe show your data model?
i substituted the relation to a oneway relation, but i still had the problem. I solved it creating a calculated table, i don't know if it's the most efficient solution but now it works ok and it's a much simpler model.
User | Count |
---|---|
28 | |
12 | |
8 | |
7 | |
5 |
User | Count |
---|---|
35 | |
14 | |
12 | |
9 | |
7 |