library(tidyverse)
library(ggmap)
library(ggplot2)
library(dplyr)
library(sf)
library(leaflet)
gambling <- readr::read_csv("All Licensed Substance Use Disorder - Problem Gambling Program.csv")
#cf_resources <- cf_resources %>% mutate(
# search_address = paste(Address, City, State, Zip, sep = ", ")
#)
register_google(key = "AIzaSyArse9KN5w6I6XekxNOkFWgt_brvM_m-CY", write = TRUE)
gambling <- gambling %>%
filter(!is.na(address)) %>%
mutate_geocode(address) #One NA value due to Address
# don't include the variable for the ID
#mat_locations <- mat_locations %>%
#select(-X1)
names(gambling)[names(gambling) == "lon"] <- "longitude"
names(gambling)[names(gambling) == "lat"] <- "latitude"
usethis::use_data(gambling, overwrite = TRUE)
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