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47 changes: 30 additions & 17 deletions r-packages/uselections/R/tx.R
Original file line number Diff line number Diff line change
Expand Up @@ -5,26 +5,39 @@
#' @importFrom tibble as_tibble
#' @export
loadTexas <- function() {

#must set working directory to "election-transparency/r-packages/uselections"
stopifnot(basename(getwd()) == "uselections")

countyNameFIPSMapping <- getCountyNameFIPSMapping('48') %>%
mutate(CountyName=toupper(CountyName))

page <- read_html("https://www.sos.state.tx.us/elections/historical/nov2016.shtml")
tables <- page %>% html_nodes("table") %>% html_table(fill=TRUE)

df <- tables[[1]] %>%
filter(`County Name` != 'Statewide Total') %>%
select(CountyName=`County Name`, N=`Voter Registration`) %>%
mutate_each(funs(gsub(x=., pattern=",", replacement=""))) %>%
mutate(D=NA, G=NA, L=NA, R=NA, O=NA) %>%
mutate(Year = 2016, Month = 11) %>% # Hardcode until we add historical data
select(CountyName, D, G, L, R, N, O, Year, Month) %>%
mutate_each("as.integer", -CountyName) %>%
mutate(CountyName=ifelse(CountyName=='LASALLE', 'LA SALLE', CountyName)) %>%
left_join(countyNameFIPSMapping, by=c("CountyName"="CountyName")) %>%
select(-CountyName) %>%
as_tibble()

df.list = list()
df.iterator <- 1
#start at 2008
for(i in seq(2008, 2016, 2))
{
page <- read_html(paste("https://www.sos.state.tx.us/elections/historical/nov", i, ".shtml", sep=""))
tables <- page %>% html_nodes("table") %>% html_table(fill=TRUE)

df.year.i <- tables[[1]] %>%
filter(`County Name` != 'Statewide Total') %>%
select(CountyName=`County Name`, N=`Voter Registration`) %>%
mutate_each(funs(gsub(x=., pattern=",", replacement=""))) %>%
mutate(D=NA, G=NA, L=NA, R=NA, O=NA) %>%
mutate(Year = i, Month = 11) %>% # Hardcode until we add historical data
select(CountyName, D, G, L, R, N, O, Year, Month) %>%
mutate_each("as.integer", -CountyName) %>%
mutate(CountyName=ifelse(CountyName=='LASALLE', 'LA SALLE', CountyName)) %>%
left_join(countyNameFIPSMapping, by=c("CountyName"="CountyName")) %>%
select(-CountyName) %>%
as_tibble()

df.list[[df.iterator]] <- df.year.i
df.iterator <- df.iterator + 1
}

df <- do.call(rbind, df.list)

df

}