Clean Facility Registry Service (FRS) dataset when updating copy for use in EJAM

Clean Facility Registry Service (FRS) dataset when updating copy for use in EJAM

Usage

frs_clean(
  frs,
  usefulcolumns = c("LATITUDE83", "LONGITUDE83", "REGISTRY_ID", "PRIMARY_NAME",
    "NAICS_CODES", "SIC_CODES", "PGM_SYS_ACRNMS")
)

Arguments

frs

data.table that is the output of frs_read()

usefulcolumns

optional, drops all columns except those in this vector of character colnames

Value

data.table with columns as defined by usefulcolumns parameter like REGISTRY_ID, and some renamed to for example lat, lon, NAICS, SIC

Details

Used by frs_get() This renames some columns (lat, lon, NAICS are new names) and it drops rows lacking lat/lon location info in the LATITUDE83 or LONGITUDE83 columns

See also

frs_update_datasets()