Read in stats19 road safety data from .csv files downloaded.
Usage
read_vehicles(
year = NULL,
filename = "",
data_dir = get_data_directory(),
format = TRUE
)Arguments
- year
Single year for which data are to be read
- filename
Character string of the filename of the .csv to read, if this is given, type and years determine whether there is a target to read, otherwise disk scan would be needed.
- data_dir
Where sets of downloaded data would be found.
- format
Switch to return raw read from file, default is
TRUE.
Details
The function returns a data frame, in which each record is a reported vehicle in the STATS19 dataset for the data_dir and filename provided.
Examples
# \donttest{
if(curl::has_internet()) {
dl_stats19(year = 2019, type = "vehicle")
ve = read_vehicles(year = 2019)
}
#> Files identified: dft-road-casualty-statistics-vehicle-2019.csv
#> https://data.dft.gov.uk/road-accidents-safety-data/dft-road-casualty-statistics-vehicle-2019.csv
#> Attempt downloading from: https://data.dft.gov.uk/road-accidents-safety-data/dft-road-casualty-statistics-vehicle-2019.csv
#> Data saved at /tmp/RtmpNIg6OY/dft-road-casualty-statistics-vehicle-2019.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
# }