# Create the education and poverty data set for SOC 345
#' Extract and merge data
#'
#' This function creates a county level education and poverty data set.
#' @keywords poverty education data
#' @export
create_educ_poverty_data <- function()
{
loadNamespace('googlesheets')
library('dplyr')
poverty13 <- dplyr::select (poverty.states, FIPStxt, Area_Name, PCTPOVALL_2013)
poverty13$FIPS.Code <- as.integer(poverty13$FIPStxt)
lessthanhighschool13 <- select(education.states, Area.name, FIPS.Code, Percent.of.adults.with.less.than.a.high.school.diploma..2009.2013)
education_and_poverty<-merge(poverty13, lessthanhighschool13,
by.x='FIPS.Code', by.y='FIPS.Code')
# First let's create the region data set
gs_region<-googlesheets::gs_url('https://docs.google.com/spreadsheets/d/1h_jY4A44WoSLkrqhwZZ9oJh51N2GybwVvGgEaY3n2gc/pubhtml')
region_data<-googlesheets::gs_read(gs_region)
education_and_poverty <- merge(education_and_poverty, region_data,
by.x='FIPS.Code', by.y='FIPS.Code')
education_and_poverty
}
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