How can we improve Power BI?

Disregard (or weight down) "key influencers"" with a very small number of records

With the new key influencers visual, it's common for it to identify key influencers where the number of records described are only 1 or 2 (for example, "finish type quit is 11x more likely in Hanover, Maryland" when there was only one finish in Hanover Maryland and it was a quit). My idea would be to assign a weight based on number of records and adjust the influencers toward the overall population mean the lower below a threshold (30 records?) the number of records involved is.

2 votes
Sign in
(thinking…)
Sign in with: facebook google
Signed in as (Sign out)

We’ll send you updates on this idea

John Ford shared this idea  ·   ·  Flag idea as inappropriate…  ·  Admin →

1 comment

Sign in
(thinking…)
Sign in with: facebook google
Signed in as (Sign out)
Submitting...
  • Anonymous commented  ·   ·  Flag as inappropriate

    I agree with this. Power BI claims to ignore factors that have very few records in their regression model but it doesn't seem to be the case. I have experience using this visual that telling me my influencer is something with only has 1 record, while saying my other factor with 100 records is not "influential".

Feedback and Knowledge Base

Ready to get started?

Try new features of Power BI today by signing up and learn more about our powerful suite of apps.