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Add the ability to filter ZCTA results by state in get_acs #580

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Add the ability to filter ZCTA results by state in get_acs #580

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aacb75c
Adds a check for queries for ZCTAs for a specific state.
Aug 6, 2024
4ed3f59
Update DESCRIPTION to include zctaCrosswalk
Aug 6, 2024
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3 changes: 2 additions & 1 deletion DESCRIPTION
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Original file line number Diff line number Diff line change
Expand Up @@ -35,7 +35,8 @@ Imports:
utils,
rlang,
crayon,
tidyselect
tidyselect,
zctaCrosswalk
Suggests:
ggplot2,
survey,
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12 changes: 10 additions & 2 deletions R/acs.R
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Expand Up @@ -683,8 +683,10 @@ get_acs <- function(geography, variables = NULL, table = NULL, cache_table = FAL
} else {
vars <- format_variables_acs(variables)

dat <- suppressWarnings(load_data_acs(geography, vars, key, year, state, county,
zcta, survey, show_call = show_call))

dat <- suppressWarnings(load_data_acs(geography, vars, key, year, state, county,
zcta, survey, show_call = show_call))

}

vars2 <- format_variables_acs(variables)
Expand Down Expand Up @@ -740,6 +742,12 @@ get_acs <- function(geography, variables = NULL, table = NULL, cache_table = FAL
dat <- dat[!duplicated(names(dat), fromLast = TRUE)]
dat <- dat[c("GEOID", "NAME", var_vector)]

}

# Filters zctas within state queried
if(!is.na(state) & geography == "zip code tabulation area"){
dat <- dat[dat$GEOID %in% zctaCrosswalk::zcta_crosswalk[zctaCrosswalk::zcta_crosswalk$state_usps == state,]$zcta,]


# Convert missing values to NA
dat[dat == -111111111] <- NA
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13 changes: 9 additions & 4 deletions R/load_data.R
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Expand Up @@ -157,10 +157,6 @@ load_data_acs <- function(geography, formatted_variables, key, year, state = NUL

if (!is.null(zcta)) {

# if (is.null(state)) {
# stop("The `zcta` argument requires specifying a state.", call. = FALSE)
# }

if (!is.null(county)) {
stop("ZCTAs do not nest within counties, so `county` should not be specified.",
call. = FALSE)
Expand All @@ -173,6 +169,10 @@ load_data_acs <- function(geography, formatted_variables, key, year, state = NUL

in_area <- paste0("state:", state)

if(geography == "zip code tabulation area"){
in_area <- NULL
}

} else {
in_area <- NULL
}
Expand Down Expand Up @@ -233,6 +233,11 @@ load_data_acs <- function(geography, formatted_variables, key, year, state = NUL

}

# If state is supplied for zctas, query all and filter after in get_acs
if(geography == "zip code tabulation area"){
in_area <- NULL
}

vars_to_get <- paste0(formatted_variables, ",NAME")

if (geography == "state" && !is.null(state)) {
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