AnCaJuLu/R.R

library(tidycensus)
library(tidyverse)
library(plumber)


#* Call table
#* @get /table
#* @serializer json
callData = function(table,municipality) {
  
  census_api_key("7a853acf81fd5758228680556ac831138c40b83e")
  #year is between 2000 and 2020
  #table is dp02pr, dp03, dp04, dp05
  
  #load variables
  variables = load_variables(2020,"acs5/profile")
  #load variable vectors
  codes = variables$name
  codesBool = startsWith(codes,table)
  
  codes = codes[codesBool]
  labels = variables$label[codesBool]
  
  #pull table
  bigTable = get_acs(geography = "county",
                 state = "PR",
                 year = 2020,
                 county = municipality,
                 survey = "acs5",
                 variables = codes)
  
  bigTable$Label = labels
  bigTable = bigTable[c("Label","estimate","moe")]
  return(bigTable)
}