We’re running into a recurring issue with user expectations around percentage totals in pivot tables, and I’m wondering if anyone has tips or workarounds to improve clarity.
We’re using a pivot table with multiple levels, subtotals, and totals. It includes:
YoY value difference
YoY % difference
Quick Sight calculates totals by aggregating from the lowest-level data, which we understand – for % difference, it typically averages the underlying % values.
Users repeatedly report that the % total looks “wrong” because it doesn’t match what they get by doing a manual % = total diff / total base calculation.
They expect the % to be calculated directly from the displayed total values, not as an average of the rows.
We know Quick Sight is technically doing the right thing (aggregating by column, averaging the % diff from each row), but from a user perspective, it’s confusing – especially when the total value sums correctly, but the % doesn’t “match” and when we have multiple levels as shown on second picture.
Appreciate any advice – even just how to better communicate this behaviour to users!
Thanks in advance.
Hope everything is well with you! I see that there has not been a response in this thread for a while. Were you able to find a workaround to your question or are you still running into persistent issues? If we do not hear back in the next 3 business days, I’ll close this topic.
Since we have not heard back, I’ll go ahead and close out this topic. However, if you have any additional questions, feel free to create a new post in the community and link this discussion for relevant information if needed.