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Get the core-based statistical area GEOID for each pharmacy based on BUYER_DEA_NO (Only includes retail and chain pharmacy designations)
pharm_cbsa(geoid = "26580", county = "Mingo", state = "WV", key = "WaPo")
Filter the data to only this cbsa GEOD (e.g. '26580')
If geoid not included, filter the data to only this county (e.g. 'Mingo')
If geoid not included, filter the data to county within this state (e.g. 'WV')
Key needed to make query successful
https://www.washingtonpost.com/graphics/2019/investigations/dea-pain-pill-database/#download-resources
Other geocoded data: buyer_addresses(), county_population(), not_pharmacies(), pharm_counties(), pharm_latlon(), pharm_tracts(), reporter_addresses(), state_population()
buyer_addresses()
county_population()
not_pharmacies()
pharm_counties()
pharm_latlon()
pharm_tracts()
reporter_addresses()
state_population()
# NOT RUN { library(arcos) mingo_wv <- pharm_cbsa(geoid="26580", key="WaPo") head(mingo_wv) # }
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