Nothing
R/idb-deprecated.R
In idbr: R Interface to the US Census Bureau International Data Base API
Defines functions
idb_api_key
idb5
idb1
Documented in
idb1
idb5
idb_api_key
#' (DEPRECATED) Retrieve data from the single-year-of-age IDB dataset.
#'
#' @param country The two-character country FIPS code, or a valid country name.
#' @param year The year for which you'd like to retrieve data
#' @param variables A vector of variables. If left blank, will return age, area in square kilometers, the name of the country, and the population size of the age group.
#' @param start_age (optional) The first age for which you'd like to retrieve data.
#' @param end_age (optional) The second age group for which you'd like to retrieve data.
#' @param sex (optional) One of 'both', 'male', or 'female'.
#' @param api_key The user's Census API key. Can be supplied here or set globally in an idbr session with
#' \code{idb_api_key(api_key)}.
#'
#' @return A data frame with the requested data.
#' @seealso \url{https://api.census.gov/data/timeseries/idb/1year.html}
#' @examples \dontrun{
#'
#' # Projected population pyramid of China in 2050 with idbr and plotly
#'
#' library(idbr)
#' library(plotly)
#' library(dplyr)
#'
#' idb_api_key('Your API key goes here')
#'
#' male <- idb1('CH', 2050, sex = 'male') %>%
#' mutate(POP = POP * -1,
#' SEX = 'Male')
#'
#' female <- idb1('CH', 2050, sex = 'female') %>%
#' mutate(SEX = 'Female')
#
#' china <- rbind(male, female) %>%
#' mutate(abs_pop = abs(POP))
#
#' plot_ly(china, x = POP, y = AGE, color = SEX, type = 'bar', orientation = 'h',
#' hoverinfo = 'y+text+name', text = abs_pop, colors = c('red', 'gold')) %>%
#' layout(bargap = 0.1, barmode = 'overlay',
#' xaxis = list(tickmode = 'array', tickvals = c(-10000000, -5000000, 0, 5000000, 10000000),
#' ticktext = c('10M', '5M', '0', '5M', '10M')),
#' title = 'Projected population structure of China, 2050')
#'
#' }
#' @export
idb1 <- function(country, year, variables = c('AGE', 'AREA_KM2', 'NAME', 'POP'),
start_age = NULL, end_age = NULL, sex = NULL, api_key = NULL) {
.Deprecated("get_idb")
if (Sys.getenv('IDB_API') != '') {
api_key <- Sys.getenv('IDB_API')
} else if (is.null(api_key)) {
# Check if tidycensus API key is available
if (Sys.getenv("CENSUS_API_KEY") != '') {
api_key <- Sys.getenv("CENSUS_API_KEY")
} else {
stop('A Census API key is required. Obtain one at https://api.census.gov/data/key_signup.html, and then supply the key to the `idb_api_key` function to use it throughout your idbr session.')
}
}
if (length(country) > 1) {
multi <- purrr::map_df(country, ~{
idb1(country = .x, year = year, variables = variables,
start_age = start_age, end_age = end_age, sex = sex,
api_key = api_key)
})
return(multi)
}
if (nchar(country) > 2) {
country <- countrycode::countrycode(country, 'country.name', 'fips')
}
if (!(country %in% valid_countries)) {
stop(paste0('The FIPS code ', country, ' is not available in the Census IDB.'))
}
variables <- paste(variables, sep = '', collapse = ',')
if (length(year) == 1) {
url <- paste0(
'https://api.census.gov/data/timeseries/idb/1year?get=',
variables,
'&FIPS=',
country,
'&time=',
as.character(year),
'&key=',
api_key
)
if (!is.null(start_age) & !is.null(end_age)) {
url <- paste0(url, '&AGE=', as.character(start_age), ':', as.character(end_age))
} else if (!is.null(start_age) & is.null(end_age)) {
url <- paste0(url, '&AGE=', as.character(start_age), ':100')
} else if (is.null(start_age) & !is.null(end_age)) {
url <- paste0(url, '&AGE=0:', as.character(end_age))
}
if (!is.null(sex)) {
if (sex == 'both') sex <- 0
if (sex == 'male') sex <- 1
if (sex == 'female') sex <- 2
url <- paste0(url, '&SEX=', as.character(sex))
}
return(load_data(url))
} else if (length(year) > 1) {
dfs <- lapply(year, function(x) {
url <- paste0(
'https://api.census.gov/data/timeseries/idb/1year?get=',
variables,
'&FIPS=',
country,
'&time=',
as.character(x),
'&key=',
api_key
)
if (!is.null(start_age) & !is.null(end_age)) {
url <- paste0(url, '&AGE=', as.character(start_age), ':', as.character(end_age))
} else if (!is.null(start_age) & is.null(end_age)) {
url <- paste0(url, '&AGE=', as.character(start_age), ':100')
} else if (is.null(start_age) & !is.null(end_age)) {
url <- paste0(url, '&AGE=0:', as.character(end_age))
}
if (!is.null(sex)) {
if (sex == 'both') sex <- 0
if (sex == 'male') sex <- 1
if (sex == 'female') sex <- 2
url <- paste0(url, '&SEX=', as.character(sex))
}
load_data(url)
})
return(dplyr::bind_rows(dfs))
}
}
#' (DEPRECATED) Retrieve data from the five-year-age-group IDB dataset.
#'
#' @param country A two-character FIPS code or country name, or a vector of FIPS codes or country names,
#' of the countries for which you'd like to retrieve data.
#' @param year A year, or a vector of years, for which you'd like to retrieve data.
#' @param variables A vector of variables. Use \code{idb_variables()} for a full list.
#' @param concept A concept for which you'd like to retrieve data.
#' Use \code{idb_concepts()} for a list of options.
#' @param country_name If TRUE, returns a column with the long country name along with the FIPS code.
#' @param api_key The user's Census API key. Can be supplied here or set globally in an idbr session with
#' \code{idb_api_key(api_key)}.
#'
#' @return A data frame with the requested data.
#' @seealso \url{https://api.census.gov/data/timeseries/idb/5year.html}
#' @examples \dontrun{
#'
#' # World map of infant mortality rates by country for 2016 with plotly
#'
#' library(idbr)
#' library(plotly)
#' library(viridis)
#'
#' idb_api_key('Your API key goes here')
#'
#' df <- idb5(country = 'all', year = 2016, variable = 'IMR', country_name = TRUE)
#'
#' plot_ly(df, z = IMR, text = NAME, locations = NAME, locationmode = 'country names',
#' type = 'choropleth', colors = viridis(99), hoverinfo = 'text+z') %>%
#' layout(title = 'Infant mortality rate (per 1000 live births), 2016',
#' geo = list(projection = list(type = 'robinson')))
#'
#'
#' }
#' @export
idb5 <- function(country, year, variables = NULL, concept = NULL, country_name = FALSE, api_key = NULL) {
.Deprecated("get_idb")
if (Sys.getenv('IDB_API') != '') {
api_key <- Sys.getenv('IDB_API')
} else if (is.null(api_key)) {
# Check if tidycensus API key is available
if (Sys.getenv("CENSUS_API_KEY") != '') {
api_key <- Sys.getenv("CENSUS_API_KEY")
} else {
stop('A Census API key is required. Obtain one at https://api.census.gov/data/key_signup.html, and then supply the key to the `idb_api_key` function to use it throughout your idbr session.')
}
}
suppressWarnings(if (country == 'all') {
country <- valid_countries
} else {
country <- purrr::map_chr(country, function(x) {
if (nchar(x) > 2) {
return(countrycode::countrycode(x, 'country.name', 'fips'))
} else {
return(x)
}
})
})
if (any(is.na(!match(country, valid_countries))) == TRUE) {
nomatch <- country[is.na(!match(country, valid_countries))]
country <- country[!country %in% nomatch]
warning(paste0('The FIPS codes ', paste(nomatch, sep = ' ', collapse = ', '),
' are not available in the Census IDB, and have been removed from your query.'))
}
if (length(variables) > 50) {
stop("Requests are limited to 50 variables. Consider using `idb_variables()` to identify which variables to select, or `idb_concepts()` to identify a concept by which you can subset.", call. = FALSE)
}
if (!is.null(variables)) {
if (!is.null(concept)) {
concept <- NULL
warning('concept cannot be used with variables; using the specified variables instead.', call. = FALSE)
}
variables <- paste(variables, sep = '', collapse = ',')
} else if (is.null(variables) & is.null(concept)) {
stop("Requests are limited to 50 variables. Consider using `idb_variables()` to identify which variables to select, or `idb_concepts()` to identify a concept by which you can subset.", call. = FALSE)
} else if (is.null(variables) & !is.null(concept)) {
sub <- variables5[variables5$Concept == concept, ]
vars <- unique(sub$Name)
variables <- paste(vars, sep = '', collapse = ',')
}
if (country_name == TRUE) variables <- paste0(variables, ',NAME')
if (length(country) == 1 & length(year) == 1) {
url <- paste0(
'https://api.census.gov/data/timeseries/idb/5year?get=',
variables,
'&FIPS=',
country,
'&time=',
as.character(year),
'&key=',
api_key
)
return(load_data(url))
} else if (length(country) > 1 & length(year) == 1) {
dfs <- lapply(country, function(x) {
url <- paste0(
'https://api.census.gov/data/timeseries/idb/5year?get=',
variables,
'&FIPS=',
x,
'&time=',
as.character(year),
'&key=',
api_key
)
load_data(url)
})
return(dplyr::bind_rows(dfs))
} else if (length(country) == 1 & length(year) > 1) {
dfs <- lapply(year, function(x) {
url <- paste0(
'https://api.census.gov/data/timeseries/idb/5year?get=',
variables,
'&FIPS=',
country,
'&time=',
as.character(x),
'&key=',
api_key
)
load_data(url)
})
return(dplyr::bind_rows(dfs))
} else if (length(country) > 1 & length(year) > 1) {
full <- lapply(country, function(x) {
dfs <- lapply(year, function(y) {
url <- paste0(
'https://api.census.gov/data/timeseries/idb/5year?get=',
variables,
'&FIPS=',
x,
'&time=',
as.character(y),
'&key=',
api_key
)
load_data(url)
})
dplyr::bind_rows(dfs)
})
return(dplyr::bind_rows(full))
}
}
#' Set the Census API key
#'
#' Use to set the Census API key in an idbr session so that the key does not have to be passed to each
#' \code{idb1} or \code{idb5} function call.
#'
#' @param api_key The idbr user's Census API key. Can be obtained from \url{https://api.census.gov/data/key_signup.html}.
#'
#' @examples \dontrun{
#'
#' idb_api_key('Your API key goes here')
#'
#' }
#' @export
idb_api_key <- function(api_key) {
Sys.setenv(IDB_API = api_key)
}
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idbr documentation built on April 12, 2021, 1:07 a.m.
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Defines functions idb_api_key idb5 idb1
Documented in idb1 idb5 idb_api_key
#' (DEPRECATED) Retrieve data from the single-year-of-age IDB dataset.
#'
#' @param country The two-character country FIPS code, or a valid country name.
#' @param year The year for which you'd like to retrieve data
#' @param variables A vector of variables. If left blank, will return age, area in square kilometers, the name of the country, and the population size of the age group.
#' @param start_age (optional) The first age for which you'd like to retrieve data.
#' @param end_age (optional) The second age group for which you'd like to retrieve data.
#' @param sex (optional) One of 'both', 'male', or 'female'.
#' @param api_key The user's Census API key. Can be supplied here or set globally in an idbr session with
#' \code{idb_api_key(api_key)}.
#'
#' @return A data frame with the requested data.
#' @seealso \url{https://api.census.gov/data/timeseries/idb/1year.html}
#' @examples \dontrun{
#'
#' # Projected population pyramid of China in 2050 with idbr and plotly
#'
#' library(idbr)
#' library(plotly)
#' library(dplyr)
#'
#' idb_api_key('Your API key goes here')
#'
#' male <- idb1('CH', 2050, sex = 'male') %>%
#' mutate(POP = POP * -1,
#' SEX = 'Male')
#'
#' female <- idb1('CH', 2050, sex = 'female') %>%
#' mutate(SEX = 'Female')
#
#' china <- rbind(male, female) %>%
#' mutate(abs_pop = abs(POP))
#
#' plot_ly(china, x = POP, y = AGE, color = SEX, type = 'bar', orientation = 'h',
#' hoverinfo = 'y+text+name', text = abs_pop, colors = c('red', 'gold')) %>%
#' layout(bargap = 0.1, barmode = 'overlay',
#' xaxis = list(tickmode = 'array', tickvals = c(-10000000, -5000000, 0, 5000000, 10000000),
#' ticktext = c('10M', '5M', '0', '5M', '10M')),
#' title = 'Projected population structure of China, 2050')
#'
#' }
#' @export
idb1 <- function(country, year, variables = c('AGE', 'AREA_KM2', 'NAME', 'POP'),
start_age = NULL, end_age = NULL, sex = NULL, api_key = NULL) {
.Deprecated("get_idb")
if (Sys.getenv('IDB_API') != '') {
api_key <- Sys.getenv('IDB_API')
} else if (is.null(api_key)) {
# Check if tidycensus API key is available
if (Sys.getenv("CENSUS_API_KEY") != '') {
api_key <- Sys.getenv("CENSUS_API_KEY")
} else {
stop('A Census API key is required. Obtain one at https://api.census.gov/data/key_signup.html, and then supply the key to the `idb_api_key` function to use it throughout your idbr session.')
}
}
if (length(country) > 1) {
multi <- purrr::map_df(country, ~{
idb1(country = .x, year = year, variables = variables,
start_age = start_age, end_age = end_age, sex = sex,
api_key = api_key)
})
return(multi)
}
if (nchar(country) > 2) {
country <- countrycode::countrycode(country, 'country.name', 'fips')
}
if (!(country %in% valid_countries)) {
stop(paste0('The FIPS code ', country, ' is not available in the Census IDB.'))
}
variables <- paste(variables, sep = '', collapse = ',')
if (length(year) == 1) {
url <- paste0(
'https://api.census.gov/data/timeseries/idb/1year?get=',
variables,
'&FIPS=',
country,
'&time=',
as.character(year),
'&key=',
api_key
)
if (!is.null(start_age) & !is.null(end_age)) {
url <- paste0(url, '&AGE=', as.character(start_age), ':', as.character(end_age))
} else if (!is.null(start_age) & is.null(end_age)) {
url <- paste0(url, '&AGE=', as.character(start_age), ':100')
} else if (is.null(start_age) & !is.null(end_age)) {
url <- paste0(url, '&AGE=0:', as.character(end_age))
}
if (!is.null(sex)) {
if (sex == 'both') sex <- 0
if (sex == 'male') sex <- 1
if (sex == 'female') sex <- 2
url <- paste0(url, '&SEX=', as.character(sex))
}
return(load_data(url))
} else if (length(year) > 1) {
dfs <- lapply(year, function(x) {
url <- paste0(
'https://api.census.gov/data/timeseries/idb/1year?get=',
variables,
'&FIPS=',
country,
'&time=',
as.character(x),
'&key=',
api_key
)
if (!is.null(start_age) & !is.null(end_age)) {
url <- paste0(url, '&AGE=', as.character(start_age), ':', as.character(end_age))
} else if (!is.null(start_age) & is.null(end_age)) {
url <- paste0(url, '&AGE=', as.character(start_age), ':100')
} else if (is.null(start_age) & !is.null(end_age)) {
url <- paste0(url, '&AGE=0:', as.character(end_age))
}
if (!is.null(sex)) {
if (sex == 'both') sex <- 0
if (sex == 'male') sex <- 1
if (sex == 'female') sex <- 2
url <- paste0(url, '&SEX=', as.character(sex))
}
load_data(url)
})
return(dplyr::bind_rows(dfs))
}
}
#' (DEPRECATED) Retrieve data from the five-year-age-group IDB dataset.
#'
#' @param country A two-character FIPS code or country name, or a vector of FIPS codes or country names,
#' of the countries for which you'd like to retrieve data.
#' @param year A year, or a vector of years, for which you'd like to retrieve data.
#' @param variables A vector of variables. Use \code{idb_variables()} for a full list.
#' @param concept A concept for which you'd like to retrieve data.
#' Use \code{idb_concepts()} for a list of options.
#' @param country_name If TRUE, returns a column with the long country name along with the FIPS code.
#' @param api_key The user's Census API key. Can be supplied here or set globally in an idbr session with
#' \code{idb_api_key(api_key)}.
#'
#' @return A data frame with the requested data.
#' @seealso \url{https://api.census.gov/data/timeseries/idb/5year.html}
#' @examples \dontrun{
#'
#' # World map of infant mortality rates by country for 2016 with plotly
#'
#' library(idbr)
#' library(plotly)
#' library(viridis)
#'
#' idb_api_key('Your API key goes here')
#'
#' df <- idb5(country = 'all', year = 2016, variable = 'IMR', country_name = TRUE)
#'
#' plot_ly(df, z = IMR, text = NAME, locations = NAME, locationmode = 'country names',
#' type = 'choropleth', colors = viridis(99), hoverinfo = 'text+z') %>%
#' layout(title = 'Infant mortality rate (per 1000 live births), 2016',
#' geo = list(projection = list(type = 'robinson')))
#'
#'
#' }
#' @export
idb5 <- function(country, year, variables = NULL, concept = NULL, country_name = FALSE, api_key = NULL) {
.Deprecated("get_idb")
if (Sys.getenv('IDB_API') != '') {
api_key <- Sys.getenv('IDB_API')
} else if (is.null(api_key)) {
# Check if tidycensus API key is available
if (Sys.getenv("CENSUS_API_KEY") != '') {
api_key <- Sys.getenv("CENSUS_API_KEY")
} else {
stop('A Census API key is required. Obtain one at https://api.census.gov/data/key_signup.html, and then supply the key to the `idb_api_key` function to use it throughout your idbr session.')
}
}
suppressWarnings(if (country == 'all') {
country <- valid_countries
} else {
country <- purrr::map_chr(country, function(x) {
if (nchar(x) > 2) {
return(countrycode::countrycode(x, 'country.name', 'fips'))
} else {
return(x)
}
})
})
if (any(is.na(!match(country, valid_countries))) == TRUE) {
nomatch <- country[is.na(!match(country, valid_countries))]
country <- country[!country %in% nomatch]
warning(paste0('The FIPS codes ', paste(nomatch, sep = ' ', collapse = ', '),
' are not available in the Census IDB, and have been removed from your query.'))
}
if (length(variables) > 50) {
stop("Requests are limited to 50 variables. Consider using `idb_variables()` to identify which variables to select, or `idb_concepts()` to identify a concept by which you can subset.", call. = FALSE)
}
if (!is.null(variables)) {
if (!is.null(concept)) {
concept <- NULL
warning('concept cannot be used with variables; using the specified variables instead.', call. = FALSE)
}
variables <- paste(variables, sep = '', collapse = ',')
} else if (is.null(variables) & is.null(concept)) {
stop("Requests are limited to 50 variables. Consider using `idb_variables()` to identify which variables to select, or `idb_concepts()` to identify a concept by which you can subset.", call. = FALSE)
} else if (is.null(variables) & !is.null(concept)) {
sub <- variables5[variables5$Concept == concept, ]
vars <- unique(sub$Name)
variables <- paste(vars, sep = '', collapse = ',')
}
if (country_name == TRUE) variables <- paste0(variables, ',NAME')
if (length(country) == 1 & length(year) == 1) {
url <- paste0(
'https://api.census.gov/data/timeseries/idb/5year?get=',
variables,
'&FIPS=',
country,
'&time=',
as.character(year),
'&key=',
api_key
)
return(load_data(url))
} else if (length(country) > 1 & length(year) == 1) {
dfs <- lapply(country, function(x) {
url <- paste0(
'https://api.census.gov/data/timeseries/idb/5year?get=',
variables,
'&FIPS=',
x,
'&time=',
as.character(year),
'&key=',
api_key
)
load_data(url)
})
return(dplyr::bind_rows(dfs))
} else if (length(country) == 1 & length(year) > 1) {
dfs <- lapply(year, function(x) {
url <- paste0(
'https://api.census.gov/data/timeseries/idb/5year?get=',
variables,
'&FIPS=',
country,
'&time=',
as.character(x),
'&key=',
api_key
)
load_data(url)
})
return(dplyr::bind_rows(dfs))
} else if (length(country) > 1 & length(year) > 1) {
full <- lapply(country, function(x) {
dfs <- lapply(year, function(y) {
url <- paste0(
'https://api.census.gov/data/timeseries/idb/5year?get=',
variables,
'&FIPS=',
x,
'&time=',
as.character(y),
'&key=',
api_key
)
load_data(url)
})
dplyr::bind_rows(dfs)
})
return(dplyr::bind_rows(full))
}
}
#' Set the Census API key
#'
#' Use to set the Census API key in an idbr session so that the key does not have to be passed to each
#' \code{idb1} or \code{idb5} function call.
#'
#' @param api_key The idbr user's Census API key. Can be obtained from \url{https://api.census.gov/data/key_signup.html}.
#'
#' @examples \dontrun{
#'
#' idb_api_key('Your API key goes here')
#'
#' }
#' @export
idb_api_key <- function(api_key) {
Sys.setenv(IDB_API = api_key)
}
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We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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