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Hello Team, Need your quick help that i have two datasets 1. HC and 2. Proficiency. i have conntected in the workflow many to many to retrive correct numbers but i am getting the incorrect numbers. Will share you the below examples
Scenario/Example: on the top left HC filter, filtered as Oct and Value should be 203290 as HC but next two columns that is Prof and Prof expert values are different it is showing as Prof 179222 and Prof Expert 1517 (screenshot 1), ideally that should be 103209 and 881 (refer screenshot 2) if i use Filter as Oct in Proficiency filter on the right then it is populating as 881 and 103209 but headcount is changing from 203290 to 276554 ,
Note: in both the screenshots filters are different but in the files i have tagged them to September and October.
Screenshot 1:
Screenshot 2:
Now, to explain detail i have used user id as common in both the files. example: "Prabha" is user id available in HC file with unique numbers and "Prabha" is available in Profiency file as wee with multiple lines on the same id. Also, Prabha is availble in Both the months i.e, Sept and Oct as well in HC and Proficiency File. refer below screenshot
i think since the "Prabha" is coming all the months numbers are getting added as per HC. need to fix this asap kindly help and guide me to use the right filters options to get the numbers. Any doubts i am happy to connect.
Expected Outcome for Oct month:
HC - 203290
Prof - 103209
Prof Expert - 881
Any workaround are acceptable
Solved! Go to Solution.
@Prabhakaran_Nag , Create common dimension tables and analyze with that
https://www.seerinteractive.com/blog/join-many-many-power-bi/
Thanks a ton for your response Amit, the var creation is difficult for me but i have figured out in simple way of concatenate user id and month then it worked. Thanks once again for first response and idealogy
Thanks a ton for your response Amit, the var creation is difficult for me but i have figured out in simple way of concatenate user id and month then it worked. Thanks once again for first response and idealogy
@Prabhakaran_Nag , Create common dimension tables and analyze with that
https://www.seerinteractive.com/blog/join-many-many-power-bi/
User | Count |
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94 | |
86 | |
78 | |
72 | |
66 |
User | Count |
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115 | |
106 | |
85 | |
65 | |
64 |