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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/Rtmpc4SGfV/dft-road-casualty-statistics-vehicle-2019.csv
#> Rows: 216381 Columns: 28
#> ── Column specification ────────────────────────────────────────────────────────
#> Delimiter: ","
#> chr  (4): accident_index, accident_reference, generic_make_model, lsoa_of_dr...
#> dbl (24): accident_year, vehicle_reference, vehicle_type, towing_and_articul...
#> 
#>  Use `spec()` to retrieve the full column specification for this data.
#>  Specify the column types or set `show_col_types = FALSE` to quiet this message.
# }