diff --git a/R/prerun_utils.R b/R/prerun_utils.R
index 78a0c72..2d5d04d 100644
--- a/R/prerun_utils.R
+++ b/R/prerun_utils.R
@@ -304,9 +304,10 @@ process_attendance_data <- function(attendance_data_raw, start_date, end_date, p
   # Calculate total as (Primary rate X primary census count) + (Secondary rate X secondary census count) + (Special rate X special census count) and divided all by total census count
   attendance_data_daily_totals <- attendance_data %>%
     filter(breakdown == "Daily") %>%
-    group_by(breakdown, time_period, time_identifier, geographic_level, country_code, country_name, region_code, region_name, new_la_code, la_name, old_la_code, attendance_date, day_number) %>%
+    group_by(breakdown, time_period, time_identifier, geographic_level, country_code, country_name, region_code, region_name, new_la_code, la_name, old_la_code, attendance_date, day_number, week_commencing) %>%
     summarise(across(where(is.numeric), sum), .groups = "keep") %>%
     mutate(
+      school_type = "Total",      
       attendance_perc = (sum(overall_attendance, na.rm = TRUE) / sum(possible_sessions, na.rm = TRUE)) * 100,
       overall_absence_perc = (sum(overall_absence, na.rm = TRUE) / sum(possible_sessions, na.rm = TRUE)) * 100,
       authorised_absence_perc = (sum(authorised_absence, na.rm = TRUE) / sum(possible_sessions, na.rm = TRUE)) * 100,