Get latitude and longitude data for each pharmacy based on BUYER_DEA_NO (Only includes retail and chain pharmacy designations)

Get latitude and longitude data for each pharmacy based on BUYER_DEA_NO (Only includes retail and chain pharmacy designations)

pharm_latlon(county = "Mingo", state = "WV", key = "WaPo")

Arguments

county

Filter the data to only this county (e.g. 'Mingo')

state

Filter the data to county within this state (e.g. 'WV')

key

Key needed to make query successful

See also

https://www.washingtonpost.com/graphics/2019/investigations/dea-pain-pill-database/#download-resources

Other geocoded data: buyer_addresses(), county_population(), not_pharmacies(), pharm_cbsa(), pharm_counties(), pharm_tracts(), reporter_addresses(), state_population()

Examples

# \donttest{
library(arcos)

mingo_wv <- pharm_latlon(county = "Mingo", state="WV", key="WaPo")

head(mingo_wv)
#>   BUYER_DEA_NO BUYER_STATE BUYER_COUNTY     lat      lon
#> 1    FG0153863          WV        MINGO 37.6114 -81.8634
#> 2    FR0261684          WV        MINGO 37.6114 -81.8634
#> 3    AA8151728          WV        MINGO 37.6026 -81.8702
#> 4    BR0780521          WV        MINGO 37.6125 -81.8713
#> 5    BM2933263          WV        MINGO 37.6219 -82.1631
#> 6    AM2373051          WV        MINGO 37.6234 -82.1676
# }