Skip to main content
cancel
Showing results for 
Search instead for 
Did you mean: 

Earn the coveted Fabric Analytics Engineer certification. 100% off your exam for a limited time only!

Reply
joostvanham
Frequent Visitor

Evaluating data series based on AND/OR compliancy

Hi all,

 

I am analysing customer conversations. of each conversation I have a unique ID. conversations can have multiple labels. some of these labels can be grouped /evaluated together. Some should all be present before it can be counted. small example (assume that there are many more conversations, on different days with many more label_names):

Conversation_IDLabel_name
1greeting_call
1name_check
1zipcode_check
2greeting_whatsapp
2name_check
2zipcode check
2birthday_check

I can show a graph, highlighting that 100% of all conversations have a proper greeting (e.g. if I group _call and _whatsapp to a group proper greeting). However for id_check I can't as only name_ zipcode_ and birthday combined are a proper id_check. It still would like to list these different labels into 1 graph. should I somehow create a new column or something (populating it with all label_names and only for id_check and greeting check if they meet requirements)? Any suggestions for me?

1 REPLY 1
amitchandak
Super User
Super User

@joostvanham , May a new column like

 

concatenatex(filter(Table, [Conversation_ID] = earlier([Conversation_ID]) ), [Label_name] , ", ")

 

Can you share expected output

Helpful resources

Announcements
April AMA free

Microsoft Fabric AMA Livestream

Join us Tuesday, April 09, 9:00 – 10:00 AM PST for a live, expert-led Q&A session on all things Microsoft Fabric!

March Fabric Community Update

Fabric Community Update - March 2024

Find out what's new and trending in the Fabric Community.