Update app.py

app.py

@@ -109,16 +109,19 @@ def build_report():
             missing_country += 1
             continue
 
+        # Count it for the table FIRST (all usage events with a valid country name)
+        country_counts[country] += 1
+
         iso3 = iso2_to_iso3(row.get("final_country_code"))
         if not iso3:
             invalid_country_code += 1
             continue
-
-        # Count it
-        country_counts[country] += 1
+        
+        # Count it for the map only (requires ISO3)
         iso3_counts[iso3] += 1
         iso3_to_name.setdefault(iso3, country)
 
+
     # Build table dataframe
     table_df = (
         pd.DataFrame([{"country": k, "usage events": v} for k, v in country_counts.items()])
@@ -144,6 +147,7 @@ def build_report():
     # Reconciliation
     rows_mappable = int(map_df["usage events"].sum())  # note: this is TOTAL events, not rows
     mappable_rows_count = int(sum(iso3_counts.values()))  # count of rows after filters (events counted)
+    table_rows_counted = int(sum(country_counts.values()))
     accounted = skipped_session_start + missing_country + invalid_country_code + mappable_rows_count
 
     # If you want “Rows mappable” to mean “rows that made it to map”, use mappable_rows_count
@@ -155,6 +159,8 @@ def build_report():
         fig.update_layout(height=740, margin=dict(l=0, r=0, t=40, b=0))
         summary = (
             f"Rows scanned: {scanned:,}\n"
+            f"- Rows counted in table: {table_rows_counted:,}\n"
+            f"- Rows mapped: {mappable_rows_count:,}\n"
             f"- Session starts skipped: {skipped_session_start:,}\n"
             f"- Missing country: {missing_country:,}\n"
             f"- Invalid country code: {invalid_country_code:,}\n\n"