R/globals.R

In Covid19R/covid19mobility: Fetches Data on Covid-19 Mobility Trends from Different Sources

globalVariables(
  c(

    # columns names I refer to
    "date",
    "location",
    "location_type",
    "location_code",
    "location_code_type",
    "data_type",
    "value",
    "data_set_name",
    "package_name",
    "function_to_get_data",
    "data_details",
    "data_url",
    "license_url",
    "data_types",
    "has_geospatial_info",

    # google
    "country_region_code",
    "country_region",
    "sub_region_1",
    "sub_region_2",
    "retail_and_recreation_percent_change_from_baseline",
    "grocery_and_pharmacy_percent_change_from_baseline",
    "parks_percent_change_from_baseline",
    "transit_stations_percent_change_from_baseline",
    "workplaces_percent_change_from_baseline",
    "residential_percent_change_from_baseline",


    # from apple or geospatial sources
    "geo_type",
    "transportation_type",
    "ISO_3166_2",
    "name_en",
    "name",
    "subdivision",
    "un_locode",
    "alternative_name",
    "region",
    "NAME.EN",
    "old_loc",
    "country",
    "sub_region",


    # from google
    "code",
    "subdivision_name",
    "country_code",
    "state",
    "iso_31662_subdivisions_extended",
    "STATEFP",
    "NAME",
    "geometry",
    "GEOID",
    "location_code.x",
    "sub_region_1.x",
    "subregion_1_clean",
    "sub_region_1",
    ".",
    "sub_region_2_old",
    "subregion_1_match"
  )
)