Register now to learn Fabric in free live sessions led by the best Microsoft experts. From Apr 16 to May 9, in English and Spanish.
The documentation describes the impact weight (number in the bubble) to be the ratio of probabilities of segment of interest vs all probability in remaining population - which is like odds ratios, except with probabilities instead of odds. Please let me know if there is any gap in my understanding, because for most of the generated insights the numbers do not match with the ratios.
Solved! Go to Solution.
Hi @veharshv ,
Maybe this is the cause:
After some more digging, I understood that the visual takes a sample of 10k rows to build the analysis on. So if you load less than 10k rows, the division should work out, if more than 10k in the data, the sampling (stratified sampling) will grab the most representative 10k only and this is why the division will not match.
Reference: Key Influencer - likelihood calculation not matching.
Best Regards,
Icey
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi @veharshv ,
Maybe this is the cause:
After some more digging, I understood that the visual takes a sample of 10k rows to build the analysis on. So if you load less than 10k rows, the division should work out, if more than 10k in the data, the sampling (stratified sampling) will grab the most representative 10k only and this is why the division will not match.
Reference: Key Influencer - likelihood calculation not matching.
Best Regards,
Icey
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Covering the world! 9:00-10:30 AM Sydney, 4:00-5:30 PM CET (Paris/Berlin), 7:00-8:30 PM Mexico City
Check out the April 2024 Power BI update to learn about new features.
User | Count |
---|---|
110 | |
99 | |
80 | |
64 | |
57 |
User | Count |
---|---|
145 | |
110 | |
91 | |
84 | |
66 |