Dataset was scraped by Masoud Nosrati from Official USA in Mar 2020, geocoding by Andrew Maloney through QGIS.

hospitals

Format

A data frame with 145 rows and 15 variables:

city

name of the city

name

name of the hospital - XXX rename to NAME

type

type of hospital, one of 'critical access', 'general acute care', 'psychiatric', 'long term care', and 'military'

website

url if available

beds

number of BEDS

naics_desc

North American Industry Classification System (NAICS) descriptor: 'general medical and surgical hospital' or 'specialty hospital'

result_num

145 0s XXX delete column?

status

145 OKs XXX delete column?

address

formatted addresses - some are duplicates - XXX look into

state

state abbreviation

zip

zip code

latitude

geographic latitude

longitude

geographic longitude

classification

column used to classify the data set

Source

https://www.officialusa.com/stateguides/health/hospitals/iowa.html

Examples

# Map of hospitals in Iowa using ggplot2 library(ggplot2) library(dplyr) # for the pipe hospitals %>% ggplot() + geom_point(aes(x = longitude, y = latitude))
# leaflet map library(leaflet) library(sf) hospitals %>% leaflet() %>% addTiles() %>% addPolygons(data = ia_counties, weight = 1, color="#333333") %>% addCircleMarkers(lng = ~longitude, lat = ~latitude, radius = 1, stroke = 0.1, label = ~name, clusterOptions = markerClusterOptions())