Format STATS19 vehicles data
Arguments
- x
Data frame created with
read_vehicles()
Examples
# \donttest{
if(curl::has_internet()) {
dl_stats19(year = 2022, type = "vehicle", ask = FALSE)
x = read_vehicles(year = 2022, format = FALSE)
vehicles = format_vehicles(x)
}
#> Files identified: dft-road-casualty-statistics-vehicle-2022.csv
#> https://data.dft.gov.uk/road-accidents-safety-data/dft-road-casualty-statistics-vehicle-2022.csv
#> Attempt downloading from: https://data.dft.gov.uk/road-accidents-safety-data/dft-road-casualty-statistics-vehicle-2022.csv
#> Data saved at /tmp/RtmpNIg6OY/dft-road-casualty-statistics-vehicle-2022.csv
#> Warning: The following named parsers don't match the column names: accident_severity, carriageway_hazards, date, day_of_week, did_police_officer_attend_scene_of_accident, first_road_class, first_road_number, junction_control, junction_detail, Latitude, light_conditions, local_authority_district, local_authority_highway, local_authority_ons_district, location_easting_osgr, location_northing_osgr, longitude, lsoa_of_accident_location, number_of_casualties, number_of_vehicles, pedestrian_crossing_human_control, pedestrian_crossing_physical_facilities, police_force, road_surface_conditions, road_type, second_road_class, second_road_number, special_conditions_at_site, speed_limit, time, trunk_road_flag, urban_or_rural_area, weather_conditions, age_band_of_casualty, age_of_casualty, bus_or_coach_passenger, car_passenger, casualty_class, casualty_home_area_type, casualty_imd_decile, casualty_reference, casualty_severity, casualty_type, pedestrian_location, pedestrian_movement, pedestrian_road_maintenance_worker, sex_of_casualty, vehicle_text
#> Warning: NAs introduced by coercion
# }