Forum Discussion
Key influencers vs Correlation
Hello All,
Sorry if this is not the proper forum for this question, but I would like to gain some insight as to the benefits of using Key Influencers over a Correlation plot (or vice versa).
I have analyzed a dataset using both Key Influencers and correlation plots. Key Influencers seem to indicate a stronger relationship between 2 variables than the correltion plots do (i.e. Key Influencer show that metric X is a key influencer on metric Y, but correlation plots only show a correlation coefficient of 0.3).
Why does one Visual show a greater influence on a metric over the other? Is Key Influencer more sensitive? Does Key Influencers consider all correlation coeffiecients to be significant?
1 Reply
- v-angzheng-msft
Community Support
Hi, Anonymous
You can read doc and blog below to achieve more info about key influencers:
https://docs.microsoft.com/en-us/power-bi/visuals/power-bi-visualization-influencers
https://databear.com/key-influencers-power-bi-ai-visuals/
https://www.burningsuit.co.uk/blog/2020/01/the-key-influencers-visual-versus-strictly-come-dancing/
Here are some references that may be helpful
Correlation Plot:
R:
https://docs.microsoft.com/en-us/power-bi/visuals/service-r-visuals#known-limitations
Best Regards,
Community Support Team _ Zeon Zheng
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
