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Remove la total filtering #147

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Remove la total filtering #147

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11693cd
Removal of filtering for LA totals
seankgibson Sep 15, 2025
496a814
autumn LA total filter removed
seankgibson Sep 15, 2025
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24 changes: 12 additions & 12 deletions R/prerun_utils.R
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Original file line number Diff line number Diff line change
Expand Up @@ -399,9 +399,9 @@ process_attendance_data <- function(attendance_data_raw, start_date, end_date, p
# Add total onto Primary, Secondary, Special data
attendance_data <- bind_rows(attendance_data, attendance_data_daily_totals, attendance_data_weekly_totals, attendance_data_ytd_totals)

attendance_data <- attendance_data %>%
dplyr::filter(!(geographic_level == "Local authority" & school_type == "Total")) %>%
arrange(time_period, time_identifier)
# attendance_data <- attendance_data %>%
# dplyr::filter(!(geographic_level == "Local authority" & school_type == "Total")) %>%
# arrange(time_period, time_identifier)

# #Handle strike days
# attendance_data <- attendance_data %>%
Expand Down Expand Up @@ -677,9 +677,9 @@ process_attendance_data_autumn <- function(attendance_data_raw, autumn_start, au
# Add total onto Primary, Secondary, Special data
attendance_data_autumn <- bind_rows(attendance_data_autumn, attendance_data_autumn_totals)

attendance_data_autumn <- attendance_data_autumn %>%
dplyr::filter(!(geographic_level == "Local authority" & school_type == "Total")) %>%
arrange(time_period, time_identifier)
# attendance_data_autumn <- attendance_data_autumn %>%
# dplyr::filter(!(geographic_level == "Local authority" & school_type == "Total")) %>%
# arrange(time_period, time_identifier)

# Data suppression
attendance_data_autumn <- attendance_data_autumn %>%
Expand Down Expand Up @@ -936,9 +936,9 @@ process_attendance_data_spring <- function(attendance_data_raw, spring_start, sp
# Add total onto Primary, Secondary, Special data
attendance_data_spring <- bind_rows(attendance_data_spring, attendance_data_spring_totals)

attendance_data_spring <- attendance_data_spring %>%
dplyr::filter(!(geographic_level == "Local authority" & school_type == "Total")) %>%
arrange(time_period, time_identifier)
# attendance_data_spring <- attendance_data_spring %>%
# dplyr::filter(!(geographic_level == "Local authority" & school_type == "Total")) %>%
# arrange(time_period, time_identifier)

# Data suppression
attendance_data_spring <- attendance_data_spring %>%
Expand Down Expand Up @@ -1209,9 +1209,9 @@ process_attendance_data_summer <- function(attendance_data_raw, summer_start, su
# Add total onto Primary, Secondary, Special data
attendance_data_summer <- bind_rows(attendance_data_summer, attendance_data_summer_totals)

attendance_data_summer <- attendance_data_summer %>%
dplyr::filter(!(geographic_level == "Local authority" & school_type == "Total")) %>%
arrange(time_period, time_identifier)
# attendance_data_summer <- attendance_data_summer %>%
# dplyr::filter(!(geographic_level == "Local authority" & school_type == "Total")) %>%
# arrange(time_period, time_identifier)

# Data suppression
attendance_data_summer <- attendance_data_summer %>%
Expand Down