bito-code-review[bot] commented on code in PR #43636:
URL: https://github.com/apache/superset/pull/43636#discussion_r3878267698


##########
docs/docs/using-superset/exploring-data.mdx:
##########
@@ -151,6 +151,16 @@ see some data!
 You should see months in the rows and Department and Travel Class in the 
columns. Publish this chart
 to your existing Tutorial Dashboard you created earlier.
 
+:::note
+Row and column totals/subtotals for the Pivot Table are computed by the 
database, at the same
+granularity as the total itself, rather than by summing the already-aggregated 
cells shown in the
+table. This means totals are correct for non-additive metrics too, such as 
ratios
+(`SUM(a)/SUM(b)`), `COUNT_DISTINCT`, `AVG`, and percentiles, not just additive 
ones like `SUM` or
+`COUNT`. Because of this, there's no separate "Aggregation function" control 
for totals: a total
+always reflects the metric's own definition evaluated at that total's level. 
The Table chart's
+**Show summary** row behaves the same way for percentage metrics.

Review Comment:
   <!-- Bito Reply -->
   The update correctly addresses the reviewer's concern by removing the 
inaccurate claim about the Table chart's behavior and clarifying the 
distinction between the Pivot Table and the Table chart's summary aggregation 
capabilities. This change improves the technical accuracy of the documentation.
   
   **docs/docs/using-superset/exploring-data.mdx**
   ```
   :::note
   Row and column totals/subtotals for the Pivot Table are computed by the 
database, at the same
   granularity as the total itself, rather than by summing the 
already-aggregated cells shown in the
   table. This means totals are correct for non-additive metrics too, such as 
ratios
   (`SUM(a)/SUM(b)`), `COUNT_DISTINCT`, `AVG`, and percentiles, not just 
additive ones like `SUM` or
   `COUNT`. Because of this, there's no separate "Aggregation function" control 
for totals: a total
   always reflects the metric's own definition evaluated at that total's level.
   ```



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