The addition of a Correlation coefficient Measure to Power BI is very useful. It does, however not report on the uncertainty of the correlation coefficient being calculated, leading to incorrect insights being derived from insufficiently sized data pairs. A way to report on this would ensure that users do not claim correlations with absolute certainty where there is large uncertainty. i.e. The result could be: Pearson C.C is between 0.8 and 0.98 with 99% confidence in stead of reporting just 0.89 etc. Please see the Fisher Transform method for an easy-to implement version of this. Hope this suggestion can see implementation!
1 Comment
- fbcideas_migusrNew MemberStatus added:Needs Votes
Recent ideas
Pipeline: Activity-level Run Conditions (No IF Container Required)
We need the ability to add a "Run if" condition directly to every pipeline activity. Like, in each acticity's settings. One of the biggest readability issues in Fabric Pipelines is that conditional ...frithjof_v19 hours agoCommunity ChampionNew25Views3likes1CommentPipeline: New Routing activity as an improvement to IF and Switch
The current If Condition and Switch activities create large nested containers that own all activities inside their branches. These containers make the canvas much harder to read. Instead, add a lig...frithjof_v19 hours agoCommunity ChampionNew12Views1like1CommentEnhance Workspace Throttling to Allow Targeted Limits on Individual Workspaces
a { text-decoration: none; color: #464feb; } tr th, tr td { border: 1px solid #e6e6e6; } tr th { background-color: #f5f5f5; } The current workspace throttling design should be enhanced to allow Fabr...kyleleonard1 day agoNew MemberNew28Views5likes0Comments