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Repository: vincentarelbundock/countrycode
Branch: main
Commit: 284d6a2f7e49
Files: 166
Total size: 15.3 MB
Directory structure:
gitextract_dg_woieq/
├── .Rbuildignore
├── .github/
│ ├── .gitignore
│ └── workflows/
│ ├── altdoc.yaml
│ ├── lint.yaml
│ ├── r-check.yaml
│ └── revdep.yaml
├── .gitignore
├── .here
├── .scrutin/
│ └── config.toml
├── DESCRIPTION
├── LICENSE
├── Makefile
├── NAMESPACE
├── NEWS.md
├── R/
│ ├── cldr_examples.R
│ ├── codelist.R
│ ├── codelist_panel.R
│ ├── countrycode-package.R
│ ├── countrycode.R
│ ├── countryname.R
│ ├── countryname_dict.R
│ ├── get_dictionary.R
│ └── guess_field.R
├── README.Rmd
├── README.md
├── _pkgdown.yml
├── altdoc/
│ ├── .nojekyll
│ ├── docsify.html
│ ├── docsify.md
│ ├── preamble_man_qmd.yml
│ ├── preamble_vignettes_qmd.yml
│ └── preamble_vignettes_rmd.yml
├── appveyor.yml
├── countrycode.Rproj
├── cran-comments.md
├── data/
│ ├── cldr_examples.rda
│ ├── codelist.rda
│ ├── codelist_panel.rda
│ ├── countryname_dict.rda
│ ├── custom_dictionaries/
│ │ ├── data_ch_cantons.csv
│ │ ├── data_ch_cantons.rds
│ │ ├── data_exiobase3.csv
│ │ ├── data_exiobase3.rds
│ │ ├── data_global_burden_of_disease.csv
│ │ ├── data_global_burden_of_disease.rds
│ │ ├── data_gtap10.csv
│ │ ├── data_gtap10.rds
│ │ ├── data_gtap11.csv
│ │ ├── data_gtap11.rds
│ │ ├── data_gtap6.csv
│ │ ├── data_gtap6.rds
│ │ ├── data_gtap7.csv
│ │ ├── data_gtap7.rds
│ │ ├── data_gtap8.csv
│ │ ├── data_gtap8.rds
│ │ ├── data_gtap9.csv
│ │ ├── data_gtap9.rds
│ │ ├── data_us_states.csv
│ │ ├── data_us_states.rds
│ │ ├── get_ch_cantons.R
│ │ ├── get_exiobase3.R
│ │ ├── get_global_burden_of_disease.R
│ │ ├── get_gtap.R
│ │ └── get_us_states.R
│ └── extra/
│ └── countryhood.csv
├── dictionary/
│ ├── Dockerfile
│ ├── build.R
│ ├── codelist_panel_without_cldr.csv
│ ├── codelist_without_cldr.csv
│ ├── data_aviation.csv
│ ├── data_backup.rds
│ ├── data_cctld.csv
│ ├── data_cldr.csv
│ ├── data_cow.csv
│ ├── data_dhs.csv
│ ├── data_ecb.csv
│ ├── data_eurostat.csv
│ ├── data_fao.csv
│ ├── data_fips.csv
│ ├── data_fips.xls
│ ├── data_genc.csv
│ ├── data_gw.csv
│ ├── data_icao.csv
│ ├── data_imf.csv
│ ├── data_ioc.csv
│ ├── data_iso.csv
│ ├── data_iso4217.csv
│ ├── data_polity4.csv
│ ├── data_polity5.csv
│ ├── data_raw/
│ │ ├── data_small_countries.csv
│ │ ├── data_telephone.csv
│ │ └── data_vdem_v15_march2025.rds
│ ├── data_regex.csv
│ ├── data_regions.csv
│ ├── data_small_countries.csv
│ ├── data_telephone.csv
│ ├── data_un.csv
│ ├── data_un_names.csv
│ ├── data_unhcr.csv
│ ├── data_unicode_symbol.csv
│ ├── data_unpd.csv
│ ├── data_vdem.csv
│ ├── data_world_bank.csv
│ ├── data_world_bank_api.csv
│ ├── data_world_bank_region.csv
│ ├── data_wvs.csv
│ ├── get_cctld.R
│ ├── get_cldr.R
│ ├── get_countryname_dict.R
│ ├── get_cow.R
│ ├── get_dhs.R
│ ├── get_ecb.R
│ ├── get_eurostat.R
│ ├── get_fao.R
│ ├── get_fips.R
│ ├── get_genc.R
│ ├── get_gw.R
│ ├── get_ioc.R
│ ├── get_iso.R
│ ├── get_iso4217.R
│ ├── get_polity4.R
│ ├── get_polity5.R
│ ├── get_small_countries.R
│ ├── get_telephone.R
│ ├── get_un.R
│ ├── get_un_names.R
│ ├── get_unhcr.R
│ ├── get_unicode_symbol.R
│ ├── get_vdem.R
│ ├── get_world_bank.R
│ ├── get_world_bank_api.R
│ ├── get_world_bank_region.R
│ ├── get_wvs.R
│ └── utilities.R
├── inst/
│ └── CITATION
├── joss/
│ ├── paper.bib
│ └── paper.md
├── man/
│ ├── cldr_examples.Rd
│ ├── codelist.Rd
│ ├── codelist_panel.Rd
│ ├── countrycode.Rd
│ ├── countryname.Rd
│ ├── countryname_dict.Rd
│ ├── get_dictionary.Rd
│ └── guess_field.Rd
├── tests/
│ ├── test-all.R
│ └── testthat/
│ ├── data-known-name-variations.R
│ ├── test-basic.R
│ ├── test-codelist.R
│ ├── test-corner-cases.R
│ ├── test-countryname.R
│ ├── test-custom-dictionary.R
│ ├── test-destination-only.R
│ ├── test-destination.R
│ ├── test-dictionary_attributes.R
│ ├── test-known-name-variations.R
│ ├── test-nomatch.R
│ ├── test-regex-external.R
│ ├── test-regex-internal.R
│ ├── test-regex-sentence.R
│ ├── test-regex-special.R
│ └── test-unicode-symbols.R
└── vignettes/
├── contributions.qmd
├── countrycode.qmd
├── countryname.qmd
└── custom.qmd
================================================
FILE CONTENTS
================================================
================================================
FILE: .Rbuildignore
================================================
cran-comments.md
data/backup.rds
data/dictionary_static.csv
data/extra
data/custom_dictionaries
README.md
LICENSE*
joss
^dictionary
.lintr
revdep*
.travis.yml
^.*\.Rproj$
^\.Rproj\.user$
.here
^CRAN-RELEASE$
^appveyor\.yml$
^_pkgdown\.yml$
^docs$
^pkgdown$
^\.github$
README.Rmd
README.html
^altdoc$
^docs$
^docs/$
^vignettes/
Makefile
^_quarto$
.claude/
^\.scrutin$
================================================
FILE: .github/.gitignore
================================================
*.html
================================================
FILE: .github/workflows/altdoc.yaml
================================================
# Workflow derived from https://github.com/r-lib/actions/tree/v2/examples
# Need help debugging build failures? Start at https://github.com/r-lib/actions#where-to-find-help
on:
push:
branches: [main, master]
pull_request:
branches: [main, master]
release:
types: [published]
workflow_dispatch:
name: altdoc
jobs:
altdoc:
runs-on: ubuntu-latest
# Only restrict concurrency for non-PR jobs
concurrency:
group: altdoc-${{ github.event_name != 'pull_request' || github.run_id }}
env:
GITHUB_PAT: ${{ secrets.GITHUB_TOKEN }}
permissions:
contents: write
steps:
- uses: actions/checkout@v4
- uses: quarto-dev/quarto-actions/setup@v2
- name: Get Script
run: curl -OLs https://eddelbuettel.github.io/r-ci/run.sh && chmod 0755 run.sh
- name: Bootstrap
run: ./run.sh bootstrap
- name: Dependencies
run: ./run.sh install_all
- name: Build site
run: |
# If parallel = TRUE in render_docs()
# future::plan(future::multicore)
install.packages(".", repos = NULL, type = "source")
install.packages("pkgload")
pkgload::load_all()
altdoc::render_docs(parallel = FALSE, freeze = FALSE)
shell: Rscript {0}
- name: Deploy to GitHub pages 🚀
if: github.event_name != 'pull_request'
uses: JamesIves/github-pages-deploy-action@v4
with:
clean: false
branch: gh-pages
folder: docs
================================================
FILE: .github/workflows/lint.yaml
================================================
# Workflow derived from https://github.com/r-lib/actions/tree/v2/examples
# Need help debugging build failures? Start at https://github.com/r-lib/actions#where-to-find-help
on:
push:
branches: [main, master]
pull_request:
branches: [main, master]
name: lint
jobs:
lint:
runs-on: ubuntu-latest
env:
GITHUB_PAT: ${{ secrets.GITHUB_TOKEN }}
steps:
- uses: actions/checkout@v3
- uses: r-lib/actions/setup-r@v2
with:
use-public-rspm: true
- uses: r-lib/actions/setup-r-dependencies@v2
with:
extra-packages: any::lintr, local::.
needs: lint
- name: Lint
run: lintr::lint_package()
shell: Rscript {0}
env:
LINTR_ERROR_ON_LINT: false
================================================
FILE: .github/workflows/r-check.yaml
================================================
on:
push:
branches: [main, master]
pull_request:
name: scrutin
permissions: read-all
jobs:
check:
runs-on: ${{ matrix.config.os }}
name: ${{ matrix.config.os }} (${{ matrix.config.r }})
strategy:
fail-fast: false
matrix:
config:
- {os: macos-latest, r: 'release'}
- {os: windows-latest, r: 'release'}
- {os: ubuntu-latest, r: 'release'}
steps:
- uses: actions/checkout@v4
- uses: vincentarelbundock/scrutin/.github/actions/install_r@main
with:
r-version: ${{ matrix.config.r }}
packages: any::rcmdcheck
- uses: vincentarelbundock/scrutin/.github/actions/check_r@main
- uses: vincentarelbundock/scrutin/.github/actions/install_scrutin@main
- run: scrutin -r github --set run.tool=testthat
================================================
FILE: .github/workflows/revdep.yaml
================================================
# This workflow creates many jobs, run only when a branch is created
on:
push:
branches:
- "revdep*" # never run automatically on main branch
name: revdep
jobs:
matrix:
runs-on: ubuntu-22.04
outputs:
matrix: ${{ steps.set-matrix.outputs.matrix }}
name: Collect revdeps
env:
R_REMOTES_NO_ERRORS_FROM_WARNINGS: true
RSPM: https://packagemanager.rstudio.com/cran/__linux__/bionic/latest
GITHUB_PAT: ${{ secrets.GITHUB_TOKEN }}
# prevent rgl issues because no X11 display is available
RGL_USE_NULL: true
# Begin custom: env vars
# End custom: env vars
steps:
- name: Check rate limits
run: |
curl -s --header "authorization: Bearer ${{ secrets.GITHUB_TOKEN }}" https://api.github.com/rate_limit
shell: bash
- uses: actions/checkout@v3
# FIXME: Avoid reissuing succesful jobs
# https://docs.github.com/en/free-pro-team@latest/rest/reference/actions#list-jobs-for-a-workflow-run
# https://docs.github.com/en/free-pro-team@latest/rest/reference/actions#workflow-runs
- id: set-matrix
run: |
package <- read.dcf("DESCRIPTION")[, "Package"][[1]]
deps <- tools:::package_dependencies(package, reverse = TRUE, which = c("Depends", "Imports", "LinkingTo", "Suggests"))[[1]]
json <- paste0(
'{"package":[',
paste0('"', deps, '"', collapse = ","),
']}'
)
writeLines(json)
writeLines(paste0("matrix=", json), Sys.getenv("GITHUB_OUTPUT"))
shell: Rscript {0}
check-matrix:
runs-on: ubuntu-22.04
needs: matrix
steps:
- name: Install json2yaml
run: |
sudo npm install -g json2yaml
- name: Check matrix definition
run: |
matrix='${{ needs.matrix.outputs.matrix }}'
echo $matrix
echo $matrix | jq .
echo $matrix | json2yaml
R-CMD-check:
needs: matrix
runs-on: ubuntu-22.04
name: ${{ matrix.package }}
# Begin custom: services
# End custom: services
strategy:
fail-fast: false
matrix: ${{fromJson(needs.matrix.outputs.matrix)}}
env:
R_REMOTES_NO_ERRORS_FROM_WARNINGS: true
RSPM: https://packagemanager.rstudio.com/cran/__linux__/bionic/latest
GITHUB_PAT: ${{ secrets.GITHUB_TOKEN }}
# prevent rgl issues because no X11 display is available
RGL_USE_NULL: true
# Begin custom: env vars
# End custom: env vars
steps:
- name: Check rate limits
run: |
curl -s --header "authorization: Bearer ${{ secrets.GITHUB_TOKEN }}" https://api.github.com/rate_limit
shell: bash
- uses: actions/checkout@v3
# Begin custom: before install
# End custom: before install
- name: Use RSPM
run: |
mkdir -p /home/runner/work/_temp/Library
echo 'local({release <- system2("lsb_release", "-sc", stdout = TRUE); options(repos=c(CRAN = paste0("https://packagemanager.rstudio.com/all/__linux__/", release, "/latest")), HTTPUserAgent = sprintf("R/%s R (%s)", getRversion(), paste(getRversion(), R.version$platform, R.version$arch, R.version$os)))}); .libPaths("/home/runner/work/_temp/Library")' | sudo tee /etc/R/Rprofile.site
- name: Install remotes
run: |
if (!requireNamespace("curl", quietly = TRUE)) install.packages("curl")
if (!requireNamespace("remotes", quietly = TRUE)) install.packages("remotes")
shell: Rscript {0}
- uses: r-lib/actions/setup-pandoc@v2
- name: Install system dependencies
if: runner.os == 'Linux'
run: |
sudo apt-get update -y
Rscript -e 'writeLines(remotes::system_requirements("ubuntu", "22.04")); package <- "${{ matrix.package }}"; deps <- tools::package_dependencies(package, which = "Suggests")[[1]]; lapply(c(package, deps), function(x) { writeLines(remotes::system_requirements("ubuntu", "22.04", package = x)) })' | sort | uniq > .github/deps.sh
cat .github/deps.sh
sudo sh < .github/deps.sh
- name: Install package
run: |
package <- "${{ matrix.package }}"
install.packages(package, dependencies = TRUE)
remotes::install_cran("rcmdcheck")
shell: Rscript {0}
- name: Session info old
run: |
options(width = 100)
if (!requireNamespace("sessioninfo", quietly = TRUE)) install.packages("sessioninfo")
pkgs <- installed.packages()[, "Package"]
sessioninfo::session_info(pkgs, include_base = TRUE)
shell: Rscript {0}
# Begin custom: after install
# End custom: after install
- name: Check old
env:
_R_CHECK_CRAN_INCOMING_: false
_R_CHECK_SYSTEM_CLOCK_: false
_R_CHECK_FUTURE_FILE_TIMESTAMPS_: false
# Avoid downloading binary package from RSPM
run: |
package <- "${{ matrix.package }}"
options(HTTPUserAgent = "gha")
path <- download.packages(package, destdir = ".github")[, 2]
print(path)
dir <- file.path("revdep", package)
dir.create(dir, showWarnings = FALSE, recursive = TRUE)
check <- rcmdcheck::rcmdcheck(path, args = c("--no-manual", "--as-cran"), error_on = "never", check_dir = file.path(dir, "check"))
file.rename(file.path(dir, "check"), file.path(dir, "old"))
saveRDS(check, file.path(dir, "old.rds"))
shell: Rscript {0}
- name: Install local package
run: |
remotes::install_local(".", force = TRUE)
shell: Rscript {0}
- name: Session info new
run: |
options(width = 100)
pkgs <- installed.packages()[, "Package"]
sessioninfo::session_info(pkgs, include_base = TRUE)
shell: Rscript {0}
- name: Check new
env:
_R_CHECK_CRAN_INCOMING_: false
_R_CHECK_SYSTEM_CLOCK_: false
_R_CHECK_FUTURE_FILE_TIMESTAMPS_: false
run: |
package <- "${{ matrix.package }}"
path <- dir(".github", pattern = paste0("^", package), full.names = TRUE)[[1]]
print(path)
dir <- file.path("revdep", package)
check <- rcmdcheck::rcmdcheck(path, args = c("--no-manual", "--as-cran"), error_on = "never", check_dir = file.path(dir, "check"))
file.rename(file.path(dir, "check"), file.path(dir, "new"))
saveRDS(check, file.path(dir, "new.rds"))
shell: Rscript {0}
- name: Compare
run: |
package <- "${{ matrix.package }}"
dir <- file.path("revdep", package)
old <- readRDS(file.path(dir, "old.rds"))
new <- readRDS(file.path(dir, "new.rds"))
compare <- rcmdcheck::compare_checks(old, new)
compare
cmp <- compare$cmp
if (!identical(cmp[cmp$which == "old", "output"], cmp[cmp$which == "new", "output"])) {
if (!requireNamespace("waldo", quietly = TRUE)) install.packages("waldo")
print(waldo::compare(old, new))
stop("Check output differs.")
}
shell: Rscript {0}
- name: Upload check results
if: failure()
uses: actions/upload-artifact@main
with:
name: ${{ matrix.package }}-results
path: revdep/${{ matrix.package }}
- name: Check rate limits
if: always()
run: |
curl -s --header "authorization: Bearer ${{ secrets.GITHUB_TOKEN }}" https://api.github.com/rate_limit
shell: bash
================================================
FILE: .gitignore
================================================
.Rproj.user
.Rhistory
.RData
.Ruserdata
*.DS_Store
README.html
altdoc/freeze.rds
_quarto/
!_quarto/_freeze/
docs/
# scrutin history + caches (keep runner scripts tracked)
.scrutin/state.db*
================================================
FILE: .here
================================================
================================================
FILE: .scrutin/config.toml
================================================
# scrutin configuration
#
# scrutin is configured via .scrutin/config.toml in the project root. Fallback:
# ~/.config/scrutin/config.toml. There are no SCRUTIN_* environment
# variables: this file is the only persistent source of truth.
#
# Any field below can be overridden at invocation time with
# --set key.path=value (repeatable). The RHS is parsed as a TOML
# expression, falling back to a bare string for unquoted values. So
# --set run.workers=8, --set run.shuffle=true, --set run.tool=pytest
# and --set 'pytest.extra_args=["--tb=short"]' all Just Work.
#
# Precedence: built-in defaults < this file < --set overrides < surviving
# CLI flags. All fields are optional; every line below is commented out
# so the file is a no-op as-shipped.
# ---------------------------------------------------------------------------
# [[suite]]: explicit test-suite declarations
# ---------------------------------------------------------------------------
# When at least one [[suite]] entry is present, auto-detection is skipped
# entirely: you control exactly which tools run and where their
# files live. When absent (the default), scrutin auto-detects from
# marker files (DESCRIPTION, pyproject.toml, jarl.toml, ...) at the
# *project root* (this directory).
# Detected at `scrutin init` time: testthat
#
# Terminology:
# - project root: where this .scrutin/config.toml lives. Anchors
# shared state (.scrutin/state.db, runner scripts, hooks).
# - suite root: the directory each suite's tool runs from. Drives
# the subprocess CWD and the SCRUTIN_PKG_DIR env var, so
# pkgload::load_all() / pytest find the right DESCRIPTION /
# pyproject.toml / .venv / ruff.toml / jarl.toml.
#
# Supported `tool` values: "testthat", "tinytest", "pointblank",
# "validate", "jarl", "pytest", "ruff", "great_expectations".
#
# Fields per [[suite]]:
# tool (required) tool name
# root (optional) suite root, relative to project root (default ".")
# Absolute paths allowed.
# run (optional) glob patterns for files the tool operates on
# (tests to execute, files to lint). Always globs,
# anchored under `root`. Default: plugin-provided.
# watch (optional) glob patterns for files watched to trigger
# reruns. Default: plugin-provided (or `run` for
# linters, which re-check what they operate on).
# runner (optional) path to a custom runner script, relative to
# the project root.
#
# Single-package project (default shape):
#
# [[suite]]
# tool = "testthat"
# # root / run / watch omitted → plugin defaults under project root
#
# Monorepo: two sibling packages under one scrutin invocation:
#
# [[suite]]
# tool = "testthat"
# root = "r"
#
# [[suite]]
# tool = "pytest"
# root = "python"
#
# Custom globs:
#
# [[suite]]
# tool = "pytest"
# root = "python"
# run = ["tests/**/test_*.py"]
# watch = ["marginaleffects/**/*.py"]
# ---------------------------------------------------------------------------
# [run]: execution parameters
# ---------------------------------------------------------------------------
[run]
# tool = "auto"
# Restrict auto-detection to a single tool. "auto" (default)
# enables every tool whose marker files are present. Ignored
# when explicit [[suite]] entries are configured.
# workers = 4
# Number of concurrent test-file slots per suite. Default:
# min(physical_cores, 8), minimum 2. In fork mode this is the
# semaphore width (how many children run in parallel); there is
# still exactly one parent process per suite.
# fork_workers = false
# Worker isolation strategy. When false (the default), workers are
# killed and respawned after every file: safe but pays startup cost
# per file. When true (Linux/macOS only), each suite has one
# long-lived parent that fork()s a copy-on-write child per test
# file: fast startup + full process isolation.
#
# Dangerous: forking a process that is itself multithreaded or that
# spawns its own forked workers (R's parallel::mclapply, Python's
# multiprocessing with the fork start method, BLAS/OpenMP threads,
# etc.) can deadlock or crash the child. Only turn this on if you
# know no code under test forks on its own. Auto-disabled on Windows
# where fork() is unavailable.
# max_fail = 0
# Stop after this many failing *files* (failed + errored). 0 (default)
# means unlimited. File-level, not expectation-level: one crashing
# file counts as one bad file regardless of how many assertions it
# took down with it.
# color = true
# ANSI color in plain-mode output. TUI and web always render colors
# regardless of this setting.
# shuffle = false
# Randomize test-file execution order to surface inter-file state
# leaks. Does not reorder expectations within a file.
# seed = 0
# Shuffle seed. Omit to draw a fresh seed from system time; the
# drawn seed is always printed so the run is reproducible by
# re-running with --set run.seed=<printed value>.
# timeout_file_ms = 0
# Per-file timeout in milliseconds. A worker that doesn't return
# results within this budget is killed and the file marked errored.
# 0 (default) disables the per-file timeout.
# timeout_run_ms = 0
# Whole-run timeout in milliseconds across all suites. When
# exceeded, every in-flight worker is cancelled. 0 (default)
# disables this gate.
# reruns = 0
# Re-execute failing files up to this many extra times before
# reporting. A file that passes on attempt > 1 is marked flaky in
# the history DB, in JUnit output, and in the plain-mode summary.
# reruns_delay = 0
# Milliseconds to wait between rerun attempts. Useful for flakes
# caused by external rate limits or eventual consistency in fixtures.
# ---------------------------------------------------------------------------
# [preflight]: startup checks that fail fast with actionable errors
# ---------------------------------------------------------------------------
# Each check runs once at scrutin startup, before any test worker
# spawns. Failures surface as a single clean error instead of per-file
# noise mid-run. Disable individual checks if they are wrong for your
# project, or set [preflight] enabled = false to skip them all.
#
# [preflight]
# enabled = true # master switch
# suite_roots = true # each [[suite]] root resolves to an existing dir
# run_globs = true # each suite's `run` matches at least one file
# command_tools = true # jarl / ruff are on PATH
# python_imports = true # `import <project>` works in the resolved venv
# r_pkgload = true # R `pkgload` package is installed
# ---------------------------------------------------------------------------
# [watch]: file-watcher settings (TUI and web only)
# ---------------------------------------------------------------------------
[watch]
# enabled = true
# Whether watch mode is on by default in the TUI and web. Override
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================================================
FILE: DESCRIPTION
================================================
Type: Package
Package: countrycode
Title: Convert Country Names and Country Codes
Version: 1.8.0
Authors@R:
c(person(given = "Vincent",
family = "Arel-Bundock",
role = c("aut", "cre"),
email = "vincent.arel-bundock@umontreal.ca",
comment = c(ORCID = "0000-0003-2042-7063")),
person(given = "CJ",
family = "Yetman",
role = "ctb",
email = "cj@cjyetman.com",
comment = c(ORCID = "0000-0001-5099-9500")),
person(given = "Nils",
family = "Enevoldsen",
role = "ctb",
email = "nils@wlonk.com",
comment = c(ORCID = "0000-0001-7195-4117")),
person("Etienne", "Bacher",
email = "etienne.bacher@protonmail.com",
role = "ctb",
comment = c(ORCID = "0000-0002-9271-5075")),
person(given = "Samuel",
family = "Meichtry",
role = "ctb",
email = "samuel.meichtry@bj.admin.ch",
comment = c(ORCID = "0000-0003-2165-791X")))
Description: Standardize country names, convert them into one of 40
different coding schemes, convert between coding schemes, and assign
region descriptors.
License: GPL-3
URL: https://vincentarelbundock.github.io/countrycode/
BugReports: https://github.com/vincentarelbundock/countrycode/issues
Depends:
R (>= 2.10)
Suggests:
altdoc,
eurostat,
testthat,
tibble,
ISOcodes,
utf8
Encoding: UTF-8
LazyData: yes
LazyLoad: yes
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.3
================================================
FILE: LICENSE
================================================
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================================================
FILE: Makefile
================================================
.PHONY: help website dictionary
help: ## Display this help screen
@echo -e "\033[1mAvailable commands:\033[0m\n"
@grep -E '^[a-z.A-Z_-]+:.*?## .*$$' $(MAKEFILE_LIST) | awk 'BEGIN {FS = ":.*?## "}; {printf " \033[36m%-18s\033[0m %s\n", $$1, $$2}' | sort
dictionary: ## dictionary
R CMD BATCH dictionary/build.R
document: ## document
Rscript -e "devtools::document()"
check: document ## check
Rscript -e "devtools::check()"
install: document ## install
Rscript -e "devtools::install(dependencies = TRUE)"
test: install ## test
Rscript -e "library(countrycode);devtools::test()"
website: install ## render vignettes and website
Rscript -e "altdoc::render_docs(verbose = TRUE)"
# rm -rf _quarto
# rm -rf ~/Downloads/countrycode_website && cp -r docs ~/Downloads/countrycode_website
================================================
FILE: NAMESPACE
================================================
# Generated by roxygen2: do not edit by hand
export(countrycode)
export(countryname)
export(get_dictionary)
export(guess_field)
================================================
FILE: NEWS.md
================================================
# News
## 1.8.0
* New Spanish regular expressions and names: `country.name.es`, `cldr.name.es` and `country.name.es`. Thanks to @dieghernan for the contribution, and to @NilsEnevoldsen and @cjyetman for review.
* Misc regex improvements and testing. Thanks to @NilsEnevoldsen.
## 1.7.0
* Add `telephone` as a new code from ITU-T E.164 country codes for telecommunication.
* Add coverage for historical Gleditsch & Ward polities (including United Provinces of Central America, Transvaal, and Tibet) and regression tests. Thanks to @JoeNoonan for Issue #320.
* `custom_match` now suppresses ambiguity and duplicate-match warnings for overridden values. Thanks to @victorhartman and @NilsEnevoldsen for the report and analysis (Issue #364).
* Stricter Micronesia regular expressions. Thanks to @mattkerlogue, @stefgehrig, @cjyetman, @NilsEnevoldsen for discussion in Issue #354.
* `TÜRKİYE` (dotted capital İ) now matches Turkey. Thanks to @cjyetman and @NilsEnevoldsen for report #347.
* Update many dictionaries to the latest versions from publishing organizations. Thanks to @NilsEnevoldsen.
* Improve Ireland regular expressions and add tests. Issue #313.
* Improve Germany / East Germany regular expressions and add tests. Issue #313.
* Update ISO4217 currency codes. Thanks to @cjyetman.
## countrycode 1.6.1
* The `simplify` argument in `apply` was introduced in R 4.1.0. We used it, which broke usage of countrycode on older versions of R.
* `genc` code improvements.
## countrycode 1.6.0
* Important speed-up for detection of country names using regular expressions (Thanks to Etienne Bacher).
* `countryname` gets the `nomatch` argument.
* `countryname` returns NA when the code does not support a given country. (Issue #336)
* Improved regex for Italy
* `eurocontrol_statfor` updated: ESRA->ECAC to account for redistribution: https://www.eurocontrol.int/sites/default/files/2020-11/eurocontrol-forecast-2020-2024-region-definition.pdf Thanks to @sthonnard for contribution #352.
* Antarctica now has a "continent" value. Thanks to @geryan for report #353.
## countrycode 1.5.0
* `get_dictionary()` function to download custom dictionaries (cross-walks):
- US States, Swiss Cantons, Global Burden of Disease, ExioBase, GTAP.
* New codes: Polity V "p5c", "p5n"
* New code "unhcr_region". Thanks to @galalH for code contribution #329
* Many regex improvements
* Several minor bug fixes
## countrycode 1.4.0
* Detect French country names using regular expressions: `origin = "country.name.fr"` (Thanks to Samuel Meichtry)
* Detect Italian country names using regular expressions: `origin = "country.name.it"` (Thanks to Samuel Meichtry)
## countrycode 1.3.1
* New code: unhcr
## countrycode 1.3.0
* destination argument accepts a vector of strings and tries one after the other
* countryname(warn=TRUE) by default
* better class checks
* countryname defaults to `country.name.en` for missing country names (nomatch=NULL)
* Vietnam: better regex and support for vdem
* Namibia fixes: eurostat, genc2c, wb_api2c, ecb
* Various regex improvements
* Congo French disambiguation
## countrycode 1.2.0
* New 'countryname' function converts country names from any language (thanks to @davidsjoberg)
* New `guess_field` function guesses which code a vector uses
* Bug in dict build inserted NA in region variable (Thanks to M. Pascariu)
* Added region23 with the old, more granular regions
* Added unicode.symbol, which converts to emoji flags
* Added ISO 4217 currency name, alpha, and numeric codes
* Added UN region codes and names
* Added IANA ccTLD codes
* Improved various regexes
## countrycode 1.1.3
* Added Demographic and Health Surveys (thanks to @mcooper)
## countrycode 1.1.2
* Updated World Bank regions with manual additions
## countrycode 1.1.1
* Bug: Typo prevented users for using "p4n" as origin code
* Fixed bad icao.region codes (Thanks to @espinielli)
* Added country name "United Arab Republic" and its regex (Thanks to Gina Reynolds)
* Added SOM to wb code (Thanks to Fabian Besche)
* Added Vietnam to codelist_panel
## countrycode 1.1.0
* Gleditsch and Ward codes (Thanks to Altaf Ali)
* V-Dem 8 country codes (panel and cross-section)
* Fixed Netherlands Antilles test (ANT code retired by ISO)
* codelist_panel now excludes years where a country didn't exist
* Scraping function for UN M49 codes. (Thanks to @cjyetman and @emilBeBri)
* `nomatch = NULL` now works as expected when sourcvar is a factor (#192 thanks to @jhuovari for reporting)
## countrycode 1.0.0
* Huge thanks to @cjyetman for his incredible work on this major release!
* Country-Year (panel) conversion dictionary
* Dictionary built from original sources
* Liechtenstein should not be in eu28
* Russia eurocontrol region fix
* CLRD country names
## countrycode 0.19.1
* Move to Semantic Versioning 2.0.0
http://semver.org/#semantic-versioning-specification-semver
* Fixed North Korea regex and added tests
* Fixed Sudan iso3n code
* Removed lookbehind from Ireland regex for javascript compatibility (request by plotly)
* Added nomatch argument
## countrycode 0.19
New features
* "custom_dict" argument allows user-supplied dictionary data.frames
* "custom_match" argument allows a user-supplied named vector of custom
origin->destination matches that will supercede any matching values in the
default result (issue #107) (Thanks to @cjyetman)
* German, French, Spanish, Russian, Chinese, and Arabic country names as destination codes
* German regular expression to convert from German names to codes. (Thanks to @sumtxt)
* Aviation codes (Thanks to Enrico Spinielli)
* ar5 and eu28 (Thanks to Niklas Roming)
* eurostat (Thanks to @cjyetman)
* 2 and 3 character codes for the World Bank API: wb_api2c and wb_api3c (Thanks to @cjyetman)
* alpha and numeric codes for Polity IV: p4_scode and p4_ccode (Thanks to @cjyetman)
* World Values Survey numeric code (Thanks to @cjyetman)
Regex fixes and improvements:
* Improved regex for Ireland and United States of America (Thanks to @cjyetman)
* D.R. Congo (found in WVS) matches Democratic Republic of the Congo (Thanks to @cjyetman)
* Southern Africa
* Federated States of Micronesia
* Republic of China == Taiwan (Thanks to Nils Enevoldsen)
* Martinique (Thanks to Martyn Plummer)
* Tahiti country name string converts to French Polynesia
Misc:
* Major speed-up in regex conversion by using factors (Thanks to @cjyetman)
* when more than one match is found for a given string, <NA> is returned rather
than arbitrarily choosing the last match found (Thanks to @cjyetman)
* updated tests to new testthat convention (Thanks to @cjyetman)
* English country names are now official UN versions
* Better docs, examples, and README
* Taiwan FAO code is 214 (Thanks to Matthieu Stigler)
## countrycode 0.18
* Nils Enevoldsen did wonderful work refactoring most of the regex in the dictionary.
* Nils also added a bunch of tests. Thanks!
* Added Tokelau
## countrycode 0.17
* Added International Olympic Committee codes (Thanks to Devon Meunier)
* Bug: fips04 -> fips104 (Thanks to Florian Hollenbach)
* Complete FIPS104 codes (Thanks to Andy Halterman)
* Generic code name validity check (Thanks to Stefan Zeugner)
* Fixed IMF codes (Thanks to Stefan Zeugner)
* Regex fix to work better with Database of Political Insitutions (Thanks to Christopher Gandrud)
* Avoids confusion with Eq Guinea (Thanks to Christopher Gandrud)
## countrycode 0.16
* Bug: NA cowc -> ABW (Thanks to Jon Mellon)
## countrycode 0.15
* Regex fixes
- Guinea
- West Bank
- Kitts / Christopher
- Georgia / India
- Mali
- Sudan nigeria
- Belgium
- Korea Somalia
- Oman
## countrycode 0.14
* sint maarten typo
## countrycode 0.13
* add sint maartin & curacao (thanks johnb30)
## countrycode 0.12
* Missing wb codes filled-in using iso3c
* Added South Sudan
* Thanks to Rod Alence!
## countrycode 0.11
* Vietnam cown
* Regexes:
- Dominica / Dominican Republic
- New Zealand / Aland
## countrycode 0.10
* De-duplicate Sudan
* Niger vs. Nigeria regex
## countrycode 0.9
* Fixed regexes: Mali, Korea, Oman, Dominica
## countrycode 0.8
* Added World Bank (wb) country codes. Very similar, but slightly different from iso3c.
## countrycode 0.7
* Removed useless functions countrycode.nomatch and countryframe
* Fixed 2 Congo-related problems
* Added option for countrycode() to report codes for which no match was found
* Moved documentation to roxygen2
* Fixed Trinidad Tobago regex
* Added UN and FAO country codes
================================================
FILE: R/cldr_examples.R
================================================
#' List of CLDR country name codes and associated examples
#'
#' \itemize{
#' \item Code: CLDR code
#' \item Example: French Southern Territories in different languages
#' }
#' @docType data
#' @keywords datasets
#' @name cldr_examples
#' @usage cldr_examples
#' @format data frame
NULL
================================================
FILE: R/codelist.R
================================================
#' Country Code Translation Data Frame (Cross-Sectional)
#'
#' A data frame used internally by the [countrycode()] function. `countrycode` can use any valid code as destination, but only some codes can be used as origin.
#'
#' ## Origin and Destination
#'
#' - `cctld`: IANA country code top-level domain
#' - `country.name.en`: country name (English)
#' - `country.name.de`: country name (German)
#' - `country.name.fr`: country name (French)
#' - `country.name.it`: country name (Italian)
#' - `country.name.es`: country name (Spanish)
#' - `cowc`: Correlates of War character
#' - `cown`: Correlates of War numeric
#' - `dhs`: Demographic and Health Surveys Program
#' - `ecb`: European Central Bank
#' - `eurostat`: Eurostat
#' - `fao`: Food and Agriculture Organization of the United Nations numerical code
#' - `fips`: FIPS 10-4 (Federal Information Processing Standard)
#' - `gaul`: Global Administrative Unit Layers
#' - `genc2c`: GENC 2-letter code
#' - `genc3c`: GENC 3-letter code
#' - `genc3n`: GENC numeric code
#' - `gwc`: Gleditsch & Ward character
#' - `gwn`: Gleditsch & Ward numeric
#' - `imf`: International Monetary Fund (Warning: The IMF generally uses ISO codes. These codes are WEO-related, but may be inconsistently used in the wild.)
#' - `ioc`: International Olympic Committee
#' - `iso2c`: ISO-2 character
#' - `iso3c`: ISO-3 character
#' - `iso3n`: ISO-3 numeric
#' - `p5n`: Polity V numeric country code
#' - `p5c`: Polity V character country code
#' - `p4n`: Polity IV numeric country code
#' - `p4c`: Polity IV character country code
#' - `un`: United Nations M49 numeric codes
#' - `unicode.symbol`: Region subtag (often displayed as emoji flag)
#' - `unhcr`: United Nations High Commissioner for Refugees
#' - `unpd`: United Nations Procurement Division
#' - `vdem`: Varieties of Democracy (V-Dem version 8, April 2018)
#' - `wb`: World Bank (very similar but not identical to iso3c)
#' - `wvs`: World Values Survey numeric code
#'
#' ## Destination only
#'
#' - `cldr.*`: 600+ country name variants from the UNICODE CLDR project (e.g., "cldr.short.en").
#' Inspect the [`cldr_examples`][countrycode::cldr_examples] data.frame for a full list of
#' available country names and examples.
#' - `ar5`: IPCC's regional mapping used both in the Fifth Assessment Report
#' (AR5) and for the Reference Concentration Pathways (RCP)
#' - `continent`: Continent as defined in the World Bank Development Indicators
#' - `cow.name`: Correlates of War country name
#' - `currency`: ISO 4217 currency name
#' - `eurocontrol_pru`: European Organisation for the Safety of Air Navigation
#' - `eurocontrol_statfor`: European Organisation for the Safety of Air Navigation
#' - `eu28`: Member states of the European Union (as of December 2015),
#' without special territories
#' - `icao.region`: International Civil Aviation Organization region
#' - `iso.name.en`: ISO English short name
#' - `iso.name.fr`: ISO French short name
#' - `iso4217c`: ISO 4217 currency alphabetic code
#' - `iso4217n`: ISO 4217 currency numeric code
#' - `p4.name`: Polity IV country name
#' - `region`: 7 Regions as defined in the World Bank Development Indicators
#' - `region23`: 23 Regions as used to be in the World Bank Development Indicators (legacy)
#' - `telephone`: ITU-T E.164 country codes for telecommunication
#' - `un.name.ar`: United Nations Arabic country name
#' - `un.name.en`: United Nations English country name
#' - `un.name.es`: United Nations Spanish country name
#' - `un.name.fr`: United Nations French country name
#' - `un.name.ru`: United Nations Russian country name
#' - `un.name.zh`: United Nations Chinese country name
#' - `un.region.name`: United Nations region name
#' - `un.region.code`: United Nations region code
#' - `un.regionintermediate.name`: United Nations intermediate region name
#' - `un.regionintermediate.code`: United Nations intermediate region code
#' - `un.regionsub.name`: United Nations sub-region name
#' - `un.regionsub.code`: United Nations sub-region code
#' - `unhcr.region`: United Nations High Commissioner for Refugees region name
#' - `wvs.name`: World Values Survey numeric code country name
#'
#' @note The Correlates of War (cow) and Polity 4 (p4) project produce codes in
#' country year format. Some countries go through political transitions that
#' justify changing codes over time. When building a purely cross-sectional
#' conversion dictionary, this forces us to make arbitrary choices with respect
#' to some entities (e.g., Western Germany, Vietnam, Serbia). `countrycode`
#' includes a reconciled dataset in panel format,
#' [`codelist_panel`][countrycode::codelist_panel]. Instead of converting code, we recommend
#' that users dealing with panel data "left-merge" their data into this panel
#' dictionary.
#'
#' @docType data
#' @keywords datasets
#' @name codelist
#' @format A data frame with codes as columns.
NULL
================================================
FILE: R/codelist_panel.R
================================================
#' Country Code Translation Data Frame (Country-Year Panel)
#'
#' A panel of country-year observations with various codes
#'
#' @docType data
#' @keywords datasets
#' @name codelist_panel
#' @usage codelist_panel
#' @format data frame with codes as columns
NULL
================================================
FILE: R/countrycode-package.R
================================================
#' Convert country codes or country names
#'
#' The \code{countrycode} function can convert to and from several different
#' country coding schemes. It uses regular expressions to convert country
#' names (e.g. Sri Lanka) into any of those coding schemes, or into
#' standardized country names in several languages. It can create variables
#' with the name of the continent and/or several regional groupings to which
#' each country belongs.
#'
#' Type ?codelist to get a list of available origin and destination
#' codes.
#'
#' @name countrycode-package
#' @aliases countrycode-package
#' @title Convert Country Codes or Country Names
#' @author Vincent Arel-Bundock \email{vincent.arel-bundock@umontreal.ca}
#' @references
#' \url{http://arelbundock.com}
#' \url{https://github.com/vincentarelbundock/countrycode}
#' @noRd
#' @keywords internal
"_PACKAGE"
================================================
FILE: R/countrycode.R
================================================
#' Convert Country Codes
#'
#' Converts long country names into one of many different coding schemes.
#' Translates from one scheme to another. Converts country name or coding
#' scheme to the official short English country name. Creates a new variable
#' with the name of the continent or region to which each country belongs.
#'
#' @note
#' For a complete description of available country codes and languages,
#' please see the documentation for the [`codelist`][codelist] conversion
#' dictionary.
#'
#' Panel data (i.e., country-year) can pose particular problems when
#' converting codes. For instance, some countries like Vietnam or Serbia go
#' through political transitions that justify changing codes over time. This
#' can pose problems when using codes from organizations like CoW or Polity IV,
#' which produce codes in country-year format. Instead of converting codes
#' using `countrycode()`, we recommend that users use the
#' [`codelist_panel`][codelist_panel] data.frame as a base into which they can
#' merge their other data. This data.frame includes most relevant code, and is
#' already "reconciled" to ensure that each political unit is only represented
#' by one row in any given year. From there, it is just a matter of using [merge()]
#' to combine different datasets which use different codes.
#'
#' @param sourcevar Vector which contains the codes or country names to be
#' converted (character or factor)
#' @param origin A string which identifies the coding scheme of origin (e.g., `"iso3c"`). See
#' [`codelist`][codelist] for a list of available codes.
#' @param destination A string or vector of strings which identify the coding
#' scheme of destination (e.g., `"iso3c"` or `c("cowc", "iso3c")`). See
#' [`codelist`][codelist] for a list of available codes. When users supply a
#' vector of destination codes, they are used sequentially to fill in
#' missing values not covered by the previous destination code in the
#' vector.
#' @param warn Prints unique elements from sourcevar for which no match was found
#' @param nomatch When countrycode fails to find a match for the code of
#' origin, it fills-in the destination vector with `nomatch`. The default
#' behavior is to fill non-matching codes with `NA`. If `nomatch = NULL`,
#' countrycode tries to use the origin vector to fill-in missing values in the
#' destination vector. `nomatch` must be either `NULL`, of length 1, or of the same
#' length as `sourcevar`.
#' @param custom_dict A data frame which supplies a new dictionary to
#' replace the built-in country code dictionary. Each column
#' contains a different code and must include no duplicates. The
#' data frame format should resemble [`codelist`][codelist]. Users
#' can pre-assign attributes to this custom dictionary to affect
#' behavior (see Examples section):
#' \itemize{
#' \item "origin.regex" attribute: a character vector with the names
#' of columns containing regular expressions.
#' \item "origin.valid" attribute: a character vector with the names
#' of columns that are accepted as valid origin codes.
#' }
#' @param custom_match A named vector which supplies custom origin and
#' destination matches that will supercede any matching default result. The name
#' of each element will be used as the origin code, and the value of each
#' element will be used as the destination code. Values supplied via
#' `custom_match` supersede ambiguous or duplicate matches and will not
#' trigger the corresponding ambiguity/duplicate-match warnings for those
#' values.
#' @param origin_regex NULL or Logical: When using a custom
#' dictionary, if TRUE then the origin codes will be matched as
#' regex, if FALSE they will be matched exactly. When NULL,
#' `countrycode` will behave as TRUE if the origin name is in the
#' `custom_dictionary`'s `origin_regex` attribute, and FALSE
#' otherwise. See examples section below.
#' @keywords countrycode
#' @export
#' @aliases countrycode
#' @examples
#' library(countrycode)
#'
#' # ISO to Correlates of War
#' countrycode(c('USA', 'DZA'), origin = 'iso3c', destination = 'cown')
#'
#' # English to ISO
#' countrycode('Albania', origin = 'country.name', destination = 'iso3c')
#'
#' # German to French
#' countrycode('Albanien', origin = 'country.name.de', destination = 'iso.name.fr')
#'
#' # Using custom_match to supercede default codes
#' countrycode(c('United States', 'Algeria'), 'country.name', 'iso3c')
#' countrycode(c('United States', 'Algeria'), 'country.name', 'iso3c',
#' custom_match = c('Algeria' = 'ALG'))
#'
#' x <- c("canada", "antarctica")
#' countryname(x)
#' countryname(x, destination = "cowc", warn = FALSE)
#' countryname(x, destination = "cowc", warn = FALSE, nomatch = x)
#'
countrycode <- function(sourcevar, origin, destination, warn = TRUE, nomatch = NA,
custom_dict = NULL, custom_match = NULL, origin_regex = NULL) {
# default dictionary
if (is.null(custom_dict)) {
dictionary <- countrycode::codelist
attr(dictionary, "origin_valid") <- c(
"cctld", "country.name", "country.name.de", "country.name.fr", "country.name.it",
"cowc", "cown", "dhs", "ecb", "eurostat", "fao", "fips", "gaul",
"genc2c", "genc3c", "genc3n", "gwc", "gwn", "imf", "ioc", "iso2c",
"iso3c", "iso3n", "p5c", "p5n", "p4c", "p4n", "un", "un_m49", "unicode.symbol",
"unhcr", "unpd", "vdem", "wb", "wb_api2c", "wb_api3c", "wvs",
"country.name.en.regex", "country.name.de.regex", "country.name.fr.regex",
"country.name.it.regex", "country.name.es.regex")
attr(dictionary, "origin_regex") <- c("country.name.de.regex",
"country.name.en.regex",
"country.name.fr.regex",
"country.name.it.regex",
"country.name.es.regex")
} else {
dictionary <- custom_dict
}
# default country names (only for default dictionary)
if (is.null(custom_dict)) {
if (origin == 'country.name') {
origin <- 'country.name.en'
}
if (origin %in% c('country.name.en', 'country.name.de', 'country.name.it', 'country.name.fr', 'country.name.es')) {
origin <- paste0(origin, '.regex')
}
destination[destination == "country.name"] <- 'country.name.en'
}
# dictionary attributes
if (is.null(attr(dictionary, "origin_valid"))) {
origin_valid <- colnames(dictionary)
} else {
origin_valid <- attr(dictionary, "origin_valid")
}
if (is.null(attr(dictionary, "destination_valid"))) {
destination_valid <- colnames(dictionary)
} else {
destination_valid <- attr(dictionary, "destination_valid")
}
if (is.null(origin_regex)) { # user can override
if (!is.null(attr(dictionary, "origin_regex"))) {
origin_regex <- origin %in% attr(dictionary, "origin_regex")
} else {
origin_regex <- FALSE
}
}
# Allow tibbles as conversion dictionary
if('tbl_df' %in% class(dictionary)){ # allow tibble
dictionary <- as.data.frame(dictionary)
}
# Sanity checks
if (missing(sourcevar)) {
stop('sourcevar is NULL (does not exist).')
}
if (!mode(sourcevar) %in% c('character', 'numeric')) {
stop('sourcevar must be a character or numeric vector. This error often arises when users pass a tibble (e.g., from dplyr) instead of a column vector from a data.frame (i.e., my_tbl[, 2] vs. my_df[, 2] vs. my_tbl[[2]]). This can also happen when `sourcevar` is entirely composed of `NA`, which `R` treats as entries of class logical.')
}
if (!is.null(nomatch) & (length(nomatch) != 1) & (length(nomatch) != length(sourcevar))) {
stop('nomatch needs to be NULL, or of length 1 or ', length(sourcevar), '.')
}
if (!is.character(origin) ||
length(origin) != 1 ||
!origin %in% origin_valid) {
stop(sprintf("The `origin` argument must be a string of length 1 equal to one of these values: %s.",
paste(origin_valid, collapse = ", ")))
}
if (!is.character(destination) ||
!all(destination %in% destination_valid)) {
stop("The `destination` argument must be a string or a vector of strings where each element is equal to one of the column names in the conversion directory (by default: `codelist`).")
}
if(!inherits(dictionary, "data.frame")) {
stop("The `dictionary` argument must be a data frame or tibble with codes as columns.")
}
dups = any(duplicated(stats::na.omit(dictionary[, origin])))
if(dups){
stop("Countrycode cannot accept dictionaries with duplicated origin codes")
}
# Copy origin_vector for later re-use
origin_vector <- sourcevar
# Case-insensitive matching
if(is.null(custom_dict)){ # only for built-in dictionary
# unicode.symbol breaks uppercase on Windows R-devel 2022-02-02; rejected by CRAN
if(inherits(origin_vector, 'character') & !grepl('country|unicode.symbol', origin)){
# only apply toupper() on unique values and match after.
# much faster than applying toupper() on the whole vector
# when vector is very large
uniques <- unique(origin_vector)
uppercase <- toupper(uniques)
origin_vector <- unname(uppercase[match(origin_vector, uniques)])
}
}
out <- rep(NA, length(sourcevar))
for (dest in destination) {
if (length(destination) == 1) {
out <- countrycode_convert(
## user-supplied arguments
sourcevar = sourcevar,
origin = origin,
destination = dest,
warn = warn,
nomatch = nomatch,
custom_dict = custom_dict,
custom_match = custom_match,
origin_regex = origin_regex,
## countrycode-supplied arguments
origin_vector = origin_vector,
dictionary = dictionary)
} else {
out <- ifelse(is.na(out),
countrycode_convert(
## user-supplied arguments
sourcevar = sourcevar,
origin = origin,
destination = dest,
warn = warn,
nomatch = nomatch,
custom_dict = custom_dict,
custom_match = custom_match,
origin_regex = origin_regex,
## countrycode-supplied arguments
origin_vector = origin_vector,
dictionary = dictionary),
out)
}
}
return(out)
}
#' internal function called by `countrycode()`
#'
#' @keywords internal
#' @noRd
countrycode_convert <- function(# user-supplied arguments
sourcevar,
origin,
destination,
warn,
nomatch,
custom_dict,
custom_match,
origin_regex,
# countrycode-supplied arguments
origin_vector,
dictionary
) {
# Convert
if (origin_regex) { # regex codes
dict <- stats::na.omit(dictionary[, c(origin, destination)])
sourcefctr <- factor(origin_vector)
# possibilities (add NA so there's at least one item)
choices <- c(levels(sourcefctr), NA)
# sometimes an error is triggered by encoding issues
choices <- tryCatch(trimws(choices), error = function(e) choices)
# Apply all regexes on all inputs. This gives a matrix where rows
# are the inputs and columns are the regexes.
# For each row, the `TRUE` values indicate the matches.
matchidx <- sapply(dict[[origin]], grepl, x = choices,
perl = TRUE, ignore.case = TRUE)
if (all(is.na(choices))) {
matches <- vector("list", length = length(choices))
} else {
# Issue reported to Vincent by email
# simplify=FALSE was introduced in R 4.1.0. we want coverage before
# out <- try(apply(matchidx, 1, which, simplify = FALSE))
out <- apply(matchidx, 1, which)
if (length(out) == 0) {
out <- rep(list(NULL), nrow(matchidx))
}
names(out) <- choices
matches <- lapply(out, function(x) dict[x, destination])
}
# fill elements that have zero matches with the appropriate NA
matches[sapply(matches, length) == 0] <- `class<-`(NA, class(dict[[destination]]))
# create destination_list with elements that have more than one match
destination_list <- matches[sapply(matches, length) > 1]
# add origin_vector value to beginning of match results to replicate previous behavior
destination_list <- Map(c, names(destination_list), destination_list)
# set elements with multiple matches to the appropriate NA
matches[sapply(matches, length) > 1] <- `class<-`(NA, class(dict[[destination]]))
# remove all but last match to replicate previous behavior
matches <- sapply(matches, function(x) { x[length(x)] })
# replace with custom matches if set
if (!is.null(custom_match)) {
matchidxs <- match(names(matches), names(custom_match))
cust_matched <- !is.na(matchidxs)
matches[cust_matched] <- custom_match[matchidxs][cust_matched]
}
# apply new levels to sourcefctr and unname
destination_vector <- unname(matches[as.numeric(sourcefctr)])
} else { # non-regex codes
# sanity check
if (is.character(origin_vector) && is.numeric(dictionary[[origin]])) {
msg <- sprintf("To convert a `%s` code, `sourcevar` must be numeric.", origin)
stop(msg, call. = FALSE)
}
dict <- stats::na.omit(dictionary[, c(origin, destination)])
sourcefctr <- factor(origin_vector)
# match levels of sourcefctr
if (identical(origin, "cctld")) {
matchidxs <- match(levels(sourcefctr), toupper(dict[[origin]]))
} else {
matchidxs <- match(levels(sourcefctr), dict[[origin]])
}
matches <- dict[[destination]][matchidxs]
# replace with custom matches if set
if (!is.null(custom_match)) {
matchidxs <- match(levels(sourcefctr), names(custom_match))
cust_matched <- !is.na(matchidxs)
matches[cust_matched] <- custom_match[matchidxs][cust_matched]
}
# apply new levels to sourcefctr
destination_vector <- matches[as.numeric(sourcefctr)]
}
# Filling-in failed matches
sane_sourcevar <- class(sourcevar)[1] == class(destination_vector)[1]
sane_nomatch <- class(nomatch)[1] == class(destination_vector)[1]
idx <- is.na(destination_vector)
if (is.null(nomatch)) {
if (sane_sourcevar) {
destination_vector[idx] <- sourcevar[idx]
} else if (class(sourcevar)[1] == "factor" & class(destination_vector)[1] == "character") {
destination_vector[idx] <- as.character(sourcevar[idx])
} else {
warning("The origin and destination codes are not of the same
class. Filling-in bad matches with NA instead.", call. = FALSE)
}
} else if ((length(nomatch) == 1) && is.na(nomatch)) { # NA
} else if ((length(nomatch) == 1) && sane_nomatch) { # single replacement
destination_vector[idx] <- nomatch
} else if ((length(nomatch) == length(sourcevar)) & sane_sourcevar) { # vector replacement
destination_vector[idx] <- nomatch[idx]
} else {
warning("The argument `nomatch` must be NULL, NA, or of the same class
as the destination vector. Filling-in bad matches with NA instead.", call. = FALSE)
}
# Warnings
if(warn){
badmatch <- sort(unique(origin_vector[is.na(destination_vector)]))
badmatch <- badmatch[!badmatch %in% names(custom_match)] # do not report <NA>'s that were set explicitly by custom_match
if(length(badmatch) > 0){
warning("Some values were not matched unambiguously: ", paste(badmatch, collapse=", "),
"\nTo fix unmatched values, please use the `custom_match` argument. ",
"If you think the default matching rules should be improved, please file an issue at ",
"https://github.com/vincentarelbundock/countrycode/issues\n", call. = FALSE)
}
if(origin_regex){
if(length(destination_list) > 0){
if (!is.null(custom_match)) {
destination_list <- destination_list[!names(destination_list) %in% names(custom_match)]
}
if (length(destination_list) > 0) {
destination_list <- lapply(destination_list, function(k) paste(k, collapse=','))
destination_list <- sort(unique(do.call('c', destination_list)))
warning("Some strings were matched more than once, and therefore set to <NA> in the result: ", paste(destination_list, collapse="; "), "\n", call. = FALSE)
}
}
}
}
return(destination_vector)
}
================================================
FILE: R/countryname.R
================================================
#' Convert country names in any language to another name or code
#'
#' Converts long country names in any language to one of many different country
#' code schemes or country names. `countryname` does 2 passes on the data.
#' First, it tries to detect variations of country names in many languages
#' extracted from the Unicode Common Locale Data Repository. Second, it applies
#' `countrycode`'s English regexes to try to match the remaining cases. Because
#' it does two passes, `countryname` can sometimes produce ambiguous results,
#' e.g., Saint Martin vs. Saint Martin (French Part). Users who need a "safer"
#' option can use: `countrycode(x, "country.name", "country.name")` Note that
#' the function works with non-ASCII characters. Please see the Github page for
#' examples.
#'
#' @param sourcevar Vector which contains the codes or country names to be
#' converted (character or factor)
#' @param destination Coding scheme of destination (string such as "iso3c"
#' enclosed in quotes ""): type `?codelist` for a list of
#' available codes.
#' @param warn Prints unique elements from sourcevar for which no match was found
#' @inheritParams countrycode
#' @export
#' @aliases countryname
#' @examples
#' \dontrun{
#' x <- c('Afaganisitani', 'Barbadas', 'Sverige', 'UK')
#' countryname(x)
#' countryname(x, destination = 'iso3c')
#' }
#'
countryname <- function(sourcevar, destination = 'country.name.en', nomatch = NA, warn = TRUE) {
out <- countrycode(sourcevar = sourcevar,
origin = 'country.name.alt',
destination = 'country.name.en',
custom_dict = countrycode::countryname_dict,
warn = FALSE)
idx <- is.na(out)
out[idx] <- countrycode(sourcevar = sourcevar[idx],
origin = 'country.name.en',
destination = 'country.name.en',
nomatch = nomatch,
warn = warn)
if (destination != 'country.name.en') {
# Issue 309: in the second pass we can use the origin vector for NAs, but only if origin and destination are of the same type and origin is a country name, not a code.
out <- countrycode(sourcevar = out,
origin = 'country.name.en',
destination = destination,
# custom_dict = countrycode::codelist,
nomatch = nomatch,
warn = warn)
}
return(out)
}
================================================
FILE: R/countryname_dict.R
================================================
#' A dataframe of alternative country names in many languages. Used internally by
#' the `countryname` function.
#'
#' @docType data
#' @keywords datasets
#' @name countryname_dict
#' @format dataframe
NULL
================================================
FILE: R/get_dictionary.R
================================================
#' Get Custom Dictionaries
#'
#' Download a custom dictionary to use in the `custom_dict` argument of `countrycode()`
#'
#' @param dictionary A character string that specifies the dictionary to be
#' retrieved. It must be one of "global_burden_of_disease", "ch_cantons",
#' "us_states", "exiobase3", "gtap10". If NULL, the function will print the list
#' of available dictionaries. Default is NULL.
#'
#' @return If a valid dictionary is specified, the function will return that dictionary as a data.frame.
#' If an invalid dictionary or no dictionary is specified, the function will stop and throw an error message.
#'
#' @examples
#' \dontrun{
#' cd <- get_dictionary("us_states")
#' countrycode::countrycode(c("MO", "MN"), origin = "state.abb", "state.name", custom_dict = cd)
#' }
#' @export
get_dictionary <- function(dictionary = NULL) {
valid <- sort(c("global_burden_of_disease", "ch_cantons", "us_states", "exiobase3", "gtap10"))
if (is.null(dictionary)) {
message(sprintf("Available dictionaries: %s", paste(valid, collapse = ", ")))
return(invisible(NULL))
}
if (isTRUE(is.character(dictionary) && length(dictionary) == 1 && dictionary %in% valid)) {
url <- sprintf("https://github.com/vincentarelbundock/countrycode/raw/main/data/custom_dictionaries/data_%s.rds", dictionary)
tmp <- tempfile()
utils::download.file(url, tmp)
out <- readRDS(tmp)
unlink(tmp)
return(out)
} else {
stop("dictionary must be a character vector of length 1 and one of: ", paste(valid, collapse = ", "))
}
}
================================================
FILE: R/guess_field.R
================================================
#' Guess the code/name of a vector
#'
#' Users sometimes do not know what kind of code or field their data contain.
#' This function tries to guess by comparing the similarity between a
#' user-supplied vector and all the codes included in the `countrycode`
#' dictionary.
#'
#' @param codes a vector of country codes or country names
#' @param min_similarity the function returns all field names where over than
#' `min_similarity`% of codes are shared between the supplied vector and the
#' `countrycode` dictionary.
#'
#' @export
#' @examples
#' # Guess ISO codes
#' guess_field(c('DZA', 'CAN', 'DEU'))
#'
#' # Guess country names
#' guess_field(c('Guinea','Iran','Russia','North Korea',rep('Ivory Coast',50),'Scotland'))
guess_field <- function(codes, min_similarity = 80) {
if (!mode(codes) %in% c('character', 'numeric')) {
stop('sourcevar must be a character or numeric vector. This error often arises when users pass a tibble (e.g., from dplyr) instead of a column vector from a data.frame (i.e., my_tbl[, 2] vs. my_df[, 2] vs. my_tbl[[2]]). This can also happen when `sourcevar` is entirely composed of `NA`, which `R` treats as entries of class logical.')
}
x <- unique(codes)
match_percentage <-
sapply(countrycode::codelist, function(code) {
sum(x %in% code) / length(x) * 100
})
match_percentage <- match_percentage[match_percentage >= min_similarity]
match_percentage <- match_percentage[order(match_percentage, decreasing = TRUE)]
data.frame(code = names(match_percentage),
percent_of_unique_matched = match_percentage,
stringsAsFactors = FALSE)
}
================================================
FILE: README.Rmd
================================================
---
output: github_document
---
<p align="center">
<img src="https://user-images.githubusercontent.com/987058/167296405-e7798ac8-03e7-444e-acaf-d99fc42d1c9e.png" align="right" alt="" width="125" />
</p>
<br>
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[](https://doi.org/10.21105/joss.00848)
<a href = "https://vincentarelbundock.github.io/countrycode" target = "_blank"><img src="https://img.shields.io/static/v1?label=Website&message=Visit&color=blue"></a>
[](https://github.com/vincentarelbundock/countrycode/actions)
<a href = "https://vincentarelbundock.github.io/countrycode" target = "_blank"><img src="http://cranlogs.r-pkg.org/badges/grand-total/countrycode"></a>
<!-- badges: end -->
`countrycode` standardizes country names, converts them into ~40 different coding schemes, and assigns region descriptors. Scroll down for more details or visit the [countrycode CRAN page](http://cran.r-project.org/web/packages/countrycode/index.html)
If you use `countrycode` in your research, we would be very grateful if you could cite our paper:
> Arel-Bundock, Vincent, Nils Enevoldsen, and CJ Yetman, (2018). countrycode: An R package to convert country names and country codes. Journal of Open Source Software, 3(28), 848, https://doi.org/10.21105/joss.00848
## Why `countrycode`?
### The Problem
Different data sources use different coding schemes to represent countries (e.g. CoW or ISO). This poses two main problems: (1) some of these coding schemes are less than intuitive, and (2) merging these data requires converting from one coding scheme to another, or from long country names to a coding scheme.
### The Solution
The `countrycode` function can convert to and from 40+ different country coding schemes, and to 600+ variants of country names in different languages and formats. It uses regular expressions to convert long country names (e.g. Sri Lanka) into any of those coding schemes or country names. It can create new variables with various regional groupings.
## Installation
From the R console, type:
```r
install.packages("countrycode")
```
To install the latest development version, you can use the `remotes` package:
```r
library(remotes)
install_github('vincentarelbundock/countrycode')
```
## Supported codes
To get an up-to-date list of supported country codes, install the package and type `?codelist`. These include:
* 600+ variants of country names in different languages and formats.
* Telephone
* AR5
* Continent and region identifiers.
* Correlates of War (numeric and character)
* European Central Bank
* [EUROCONTROL](https://www.eurocontrol.int) - The European Organisation for the Safety of Air Navigation
* Eurostat
* Federal Information Processing Standard (FIPS)
* Food and Agriculture Organization of the United Nations
* Global Administrative Unit Layers (GAUL)
* Geopolitical Entities, Names and Codes (GENC)
* Gleditsch & Ward (numeric and character)
* International Civil Aviation Organization
* International Monetary Fund
* International Olympic Committee
* ISO (2/3-character and numeric)
* Polity IV
* United Nations
* United Nations Procurement Division
* Varieties of Democracy
* World Bank
* World Values Survey
* Unicode symbols (flags)
================================================
FILE: README.md
================================================
<p align="center">
<img src="https://user-images.githubusercontent.com/987058/167296405-e7798ac8-03e7-444e-acaf-d99fc42d1c9e.png" align="right" alt="" width="125" />
</p>
<br>
<!-- badges: start -->
[](https://doi.org/10.21105/joss.00848)
<a href = "https://vincentarelbundock.github.io/countrycode" target = "_blank"><img src="https://img.shields.io/static/v1?label=Website&message=Visit&color=blue"></a>
[](https://github.com/vincentarelbundock/countrycode/actions)
<a href = "https://vincentarelbundock.github.io/countrycode" target = "_blank"><img src="http://cranlogs.r-pkg.org/badges/grand-total/countrycode"></a>
<!-- badges: end -->
`countrycode` standardizes country names, converts them into ~40
different coding schemes, and assigns region descriptors. Scroll down
for more details or visit the [countrycode CRAN
page](http://cran.r-project.org/web/packages/countrycode/index.html)
If you use `countrycode` in your research, we would be very grateful if
you could cite our paper:
> Arel-Bundock, Vincent, Nils Enevoldsen, and CJ Yetman, (2018).
> countrycode: An R package to convert country names and country codes.
> Journal of Open Source Software, 3(28), 848,
> <https://doi.org/10.21105/joss.00848>
## Why `countrycode`?
### The Problem
Different data sources use different coding schemes to represent
countries (e.g. CoW or ISO). This poses two main problems: (1) some of
these coding schemes are less than intuitive, and (2) merging these data
requires converting from one coding scheme to another, or from long
country names to a coding scheme.
### The Solution
The `countrycode` function can convert to and from 40+ different country
coding schemes, and to 600+ variants of country names in different
languages and formats. It uses regular expressions to convert long
country names (e.g. Sri Lanka) into any of those coding schemes or
country names. It can create new variables with various regional
groupings.
## Installation
From the R console, type:
``` r
install.packages("countrycode")
```
To install the latest development version, you can use the `remotes`
package:
``` r
library(remotes)
install_github('vincentarelbundock/countrycode')
```
## Supported codes
To get an up-to-date list of supported country codes, install the
package and type `?codelist`. These include:
- 600+ variants of country names in different languages and formats.
- Telephone
- AR5
- Continent and region identifiers.
- Correlates of War (numeric and character)
- European Central Bank
- [EUROCONTROL](https://www.eurocontrol.int) - The European Organisation
for the Safety of Air Navigation
- Eurostat
- Federal Information Processing Standard (FIPS)
- Food and Agriculture Organization of the United Nations
- Global Administrative Unit Layers (GAUL)
- Geopolitical Entities, Names and Codes (GENC)
- Gleditsch & Ward (numeric and character)
- International Civil Aviation Organization
- International Monetary Fund
- International Olympic Committee
- ISO (2/3-character and numeric)
- Polity IV
- United Nations
- United Nations Procurement Division
- Varieties of Democracy
- World Bank
- World Values Survey
- Unicode symbols (flags)
================================================
FILE: _pkgdown.yml
================================================
template:
params:
bootswatch: readable
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FILE: altdoc/.nojekyll
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FILE: altdoc/docsify.html
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<!-- index.html -->
<!DOCTYPE html>
<html>
<head>
<meta http-equiv="X-UA-Compatible" content="IE=edge,chrome=1">
<meta name="viewport" content="width=device-width,initial-scale=1">
<meta charset="UTF-8">
<link rel="stylesheet" href="//cdn.jsdelivr.net/npm/docsify@4/themes/vue.css" />
</head>
<body>
<div id="app"></div>
<script>
window.$docsify = {
name: '$ALTDOC_PACKAGE_NAME',
repo: '$ALTDOC_PACKAGE_URL_GITHUB',
loadSidebar: true,
subMaxLevel: 2,
search: {
placeholder: 'Search',
depth: 3,
},
auto2top: true,
copyCode: {
buttonText : 'Copy',
errorText : 'Error',
successText: 'Copied'
},
plugins: [
function(hook) {
var footer = ["<a href='$ALTDOC_PACKAGE_URL'> <code> $ALTDOC_PACKAGE_NAME </code> v. $ALTDOC_PACKAGE_VERSION </a> | Documentation made with <a href='https://altdoc.etiennebacher.com/'> <code> altdoc </code> v. $ALTDOC_VERSION</a>"].join('');
hook.afterEach(function(html) {
return html + footer;
});
}
]
}
</script>
<script src="//cdn.jsdelivr.net/npm/docsify@4"></script>
<script src="//cdn.jsdelivr.net/npm/docsify-copy-code"></script>
<script src="//cdn.jsdelivr.net/npm/prismjs@1.24.1/components/prism-r.js"></script>
<script src="//unpkg.com/docsify/lib/plugins/search.min.js"></script>
</body>
</html>
================================================
FILE: altdoc/docsify.md
================================================
* [Home](/)
* Articles: $ALTDOC_VIGNETTE_BLOCK
* Reference: $ALTDOC_MAN_BLOCK
* [News]($ALTDOC_NEWS)
* [Changelog]($ALTDOC_CHANGELOG)
* [Code of Conduct]($ALTDOC_CODE_OF_CONDUCT)
* [License]($ALTDOC_LICENSE)
* [Licence]($ALTDOC_LICENCE)
* [Citation]($ALTDOC_CITATION)
================================================
FILE: altdoc/preamble_man_qmd.yml
================================================
---
format:
md:
prefer-html: true
---
================================================
FILE: altdoc/preamble_vignettes_qmd.yml
================================================
---
format:
md:
prefer_html: true
default-image-extension: ""
---
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FILE: altdoc/preamble_vignettes_rmd.yml
================================================
---
always_allow_html: yes
---
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FILE: appveyor.yml
================================================
# DO NOT CHANGE the "init" and "install" sections below
# Download script file from GitHub
init:
ps: |
$ErrorActionPreference = "Stop"
Invoke-WebRequest http://raw.github.com/krlmlr/r-appveyor/master/scripts/appveyor-tool.ps1 -OutFile "..\appveyor-tool.ps1"
Import-Module '..\appveyor-tool.ps1'
install:
ps: Bootstrap
cache:
- C:\RLibrary
environment:
NOT_CRAN: true
# env vars that may need to be set, at least temporarily, from time to time
# see https://github.com/krlmlr/r-appveyor#readme for details
# USE_RTOOLS: true
# R_REMOTES_STANDALONE: true
# Adapt as necessary starting from here
build_script:
- travis-tool.sh install_deps
test_script:
- travis-tool.sh run_tests
on_failure:
- 7z a failure.zip *.Rcheck\*
- appveyor PushArtifact failure.zip
artifacts:
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name: Logs
- path: '*.Rcheck\**\*.out'
name: Logs
- path: '*.Rcheck\**\*.fail'
name: Logs
- path: '*.Rcheck\**\*.Rout'
name: Logs
- path: '\*_*.tar.gz'
name: Bits
- path: '\*_*.zip'
name: Bits
================================================
FILE: countrycode.Rproj
================================================
Version: 1.0
RestoreWorkspace: Default
SaveWorkspace: Default
AlwaysSaveHistory: Default
EnableCodeIndexing: Yes
UseSpacesForTab: Yes
NumSpacesForTab: 2
Encoding: UTF-8
RnwWeave: Sweave
LaTeX: pdfLaTeX
AutoAppendNewline: Yes
StripTrailingWhitespace: Yes
BuildType: Package
PackageUseDevtools: Yes
PackageInstallArgs: --no-multiarch --with-keep.source
PackageRoxygenize: rd,collate,namespace
================================================
FILE: cran-comments.md
================================================
================================================
FILE: data/custom_dictionaries/data_ch_cantons.csv
================================================
fso.number,abbreviation,canton.name,canton.name.regex,canton.name.de,canton.name.fr,canton.name.it,canton.name.rm
1,ZH,Zürich,(Z|T)(u|ü)ri(ch|go|tg),Zürich,Zurich,Zurigo,Turitg
2,BE,Bern,Bern(e|a)?,Bern,Berne,Berna,Berna
3,LU,Luzern,Lu(z|c)ern(e|a)?,Luzern,Lucerne,Lucerna,Lucerna
4,UR,Uri,Uri,Uri,Uri,Uri,Uri
5,SZ,Schwyz,Schwyz|Svi(tto|z),Schwyz,Svitto,Svitto,Sviz
6,OW,Obwalden,Ob(w|v)ald((e|o)n?)?|Sursilvania,Obwalden,Obwald,Obvaldo,Sursilvania
7,NW,Nidwalden,Nid(w|v)ald((e|o)n?)?|Sutsilvania,Nidwalden,Nidwald,Nidvaldo,Sutsilvania
8,GL,Glarus,Glar(i|o|u)(s|na),Glarus,Glaris,Glarona,Glaruna
9,ZG,Zug,Z(u|ou)go?,Zug,Zoug,Zugo,Zug
10,FR,Fribourg,Fre?ib(ou|u)rgo?,Freiburg,Fribourg,Friburgo,Friburg
11,SO,Solothurn,Sol(oth?urn|eure|etta),Solothurn,Soleure,Soletta,Soloturn
12,BS,Basel-Stadt,B(a|â)(sel|silea|le)(\W|-)(Stadt|Ville|Cit+(a|à)d?),Basel-Stadt,Bâle-Ville,Basilea Città,Basilea-Citad
13,BL,Basel-Landschaft,B(a|â)(sel|silea|le)(\W|-)(Landschaft|Ch?ampagn(a|e)),Basel-Landschaft,Bâle-Campagne,Basilea Campagna,Basilea-Champagna
14,SH,Schaffhausen,Sc(h|i)affh?(a|o)?us(a|e)n?,Schaffhausen,Schaffhouse,Sciaffusa,Schaffusa
15,AR,Appenzell Ausserrhoden,Appenzello?\W(Ausserrhoden|Rhodes-Extérieures|Esterno|Dadora),Appenzell Ausserrhoden,Appenzell Rhodes-Extérieures,Appenzello Esterno,Appenzell Dadora
16,AI,Appenzell Innerrhoden,Appenzello?\W(Innerrhoden|Rhodes-Intérieures|Interno|Dadens),Appenzell Innerrhoden,Appenzell Rhodes-Intérieures,Appenzello Interno,Appenzell Dadens
17,SG,St. Gallen,(S(t|k)\.|Saint|Sankt|S(a|o)n)(\W|-)Ga(ll(en|o)?|gl),St. Gallen,Saint-Gall,San Gallo,Son Gagl
18,GR,Grischun,Gr(aubünden|isons|igioni|ischun),Graubünden,Grisons,Grigioni,Grischun
19,AG,Aargau,Aa?rg(au|ou)(ia|ie)?,Aargau,Argovie,Argovia,Argovia
20,TG,Thurgau,Th?urg(au|ov)(ia|ie)?,Thurgau,Thurgovie,Turgovia,Turgovia
21,TI,Ticino,T(essin|icino),Tessin,Tessin,Ticino,Tessin
22,VD,Vaud,Vau?d|Waadt,Waadt,Vaud,Vaud,Vad
23,VS,Valais,(V|W)al+(e|i|ai)se?,Wallis,Valais,Vallese,Vallais
24,NE,Neuchâtel,Neuchâtel|Neuenburg|Neocastello,Neuenburg,Neuchâtel,Neocastello,Neuchâtel
25,GE,Genève,Genf|G(e|i)n(e|è)vr?(a|e),Genf,Genève,Ginevra,Genevra
26,JU,Jura,(J|G)i?ura,Jura,Jura,Giura,Giura
================================================
FILE: data/custom_dictionaries/data_exiobase3.csv
================================================
country,exiobase_code,exiobase_num
Afghanistan,WA,45
Albania,WE,47
Algeria,WF,48
American Samoa,WA,45
Andorra,WE,47
Angola,WF,48
Anguilla,WL,46
Antarctica,WA,45
Antigua & Barbuda,WL,46
Argentina,WL,46
Armenia,WA,45
Aruba,WL,46
Australia,AU,38
Austria,AT,1
Azerbaijan,WA,45
Bahamas,WL,46
Bahrain,WM,49
Bangladesh,WA,45
Barbados,WL,46
Belarus,WE,47
Belgium,BE,2
Belize,WL,46
Benin,WF,48
Bermuda,WL,46
Bhutan,WA,45
Bolivia,WL,46
Caribbean Netherlands,WL,46
Bosnia & Herzegovina,WE,47
Botswana,WF,48
Bouvet Island,WA,45
Brazil,BR,34
British Indian Ocean Territory,WA,45
Brunei,WA,45
Bulgaria,BG,3
Burkina Faso,WF,48
Burundi,WF,48
Cambodia,WA,45
Cameroon,WF,48
Canada,CA,32
Cape Verde,WF,48
Cayman Islands,WL,46
Central African Republic,WF,48
Chad,WF,48
Channel Islands,WE,47
Chile,WL,46
China,CN,31
Christmas Island,WA,45
Cocos (Keeling) Islands,WA,45
Colombia,WL,46
Comoros,WF,48
Congo - Kinshasa,WF,48
Congo - Brazzaville,WF,48
Cook Islands,WA,45
Costa Rica,WL,46
Côte d’Ivoire,WF,48
Croatia,HR,13
Cuba,WL,46
Curaçao,WL,46
Cyprus,CY,4
Czechia,CZ,5
Denmark,DK,7
Djibouti,WF,48
Dominica,WL,46
Dominican Republic,WL,46
Ecuador,WL,46
Egypt,WM,49
El Salvador,WL,46
Equatorial Guinea,WF,48
Eritrea,WF,48
Estonia,EE,8
Ethiopia,WF,48
Faroe Islands,WE,47
Falkland Islands,WL,46
Fiji,WA,45
Finland,FI,10
France,FR,11
French Guiana,WL,46
French Polynesia,WA,45
Gabon,WF,48
Gambia,WF,48
Georgia,WA,45
Germany,DE,6
Ghana,WF,48
Gibraltar,WE,47
Greece,GR,12
Greenland,WL,46
Grenada,WL,46
Guadeloupe,WL,46
Guam,WA,45
Guatemala,WL,46
Guinea,WF,48
Guinea-Bissau,WF,48
Guyana,WL,46
Haiti,WL,46
Heard & McDonald Islands,WA,45
Honduras,WL,46
Hong Kong SAR China,WA,45
Hungary,HU,14
Iceland,WE,47
India,IN,35
Indonesia,ID,43
Iran,WM,49
Iraq,WM,49
Ireland,IE,15
Isle of Man,WE,47
Israel,WM,49
Italy,IT,16
Jamaica,WL,46
Japan,JP,30
Jordan,WM,49
Kazakhstan,WA,45
Kenya,WF,48
Kiribati,WA,45
North Korea,WA,45
Kosovo,WE,47
Kuwait,WM,49
Kyrgyzstan,WA,45
Laos,WA,45
Latvia,LV,19
Lebanon,WM,49
Lesotho,WF,48
Liberia,WF,48
Libya,WF,48
Liechtenstein,WE,47
Lithuania,LT,17
Luxembourg,LU,18
Macao SAR China,WA,45
North Macedonia,WE,47
Madagascar,WF,48
Malawi,WF,48
Malaysia,WA,45
Maldives,WA,45
Mali,WF,48
Malta,MT,20
Marshall Islands,WA,45
Martinique,WL,46
Mauritania,WF,48
Mauritius,WF,48
Mayotte,WF,48
Mexico,MX,36
Micronesia (Federated States of),WA,45
Moldova,WE,47
Monaco,WE,47
Mongolia,WA,45
Montenegro,WE,47
Montserrat,WL,46
Morocco,WF,48
Mozambique,WF,48
Myanmar (Burma),WA,45
Namibia,WF,48
Nauru,WA,45
Nepal,WA,45
Netherlands,NL,21
Netherlands Antilles,WL,46
New Caledonia,WA,45
New Zealand,WA,45
Nicaragua,WL,46
Niger,WF,48
Nigeria,WF,48
Niue,WA,45
Norfolk Island,WA,45
Northern Mariana Islands,WA,45
Norway,NO,42
Oman,WM,49
Pakistan,WA,45
Palau,WA,45
Palestinian Territories,WM,49
Panama,WL,46
Papua New Guinea,WA,45
Paraguay,WL,46
Peru,WL,46
Philippines,WA,45
Pitcairn Islands,WA,45
Poland,PL,22
Portugal,PT,23
Puerto Rico,WL,46
Qatar,WM,49
Réunion,WF,48
Romania,RO,24
Russia,RU,37
Rwanda,WF,48
Samoa,WA,45
San Marino,WE,47
São Tomé & Príncipe,WF,48
Saudi Arabia,WM,49
Senegal,WF,48
Serbia,WE,47
Seychelles,WF,48
Sierra Leone,WF,48
Singapore,WA,45
Sint Maarten,WL,46
Slovakia,SK,27
Slovenia,SI,26
Solomon Islands,WA,45
Somalia,WF,48
South Africa,ZA,44
South Georgia & South Sandwich Islands,WA,45
South Korea,KR,33
South Sudan,WF,48
Spain,ES,9
Sri Lanka,WA,45
St. Helena,WF,48
St. Kitts & Nevis,WL,46
St. Lucia,WL,46
St. Pierre & Miquelon,WL,46
St. Vincent & Grenadines,WL,46
Sudan,WF,48
Suriname,WL,46
Svalbard & Jan Mayen,WE,47
Eswatini,WF,48
Sweden,SE,25
Switzerland,CH,39
Syria,WM,49
Taiwan,TW,41
Tajikistan,WA,45
Tanzania,WF,48
Thailand,WA,45
Timor-Leste,WA,45
Togo,WF,48
Tokelau,WA,45
Tonga,WA,45
Trinidad & Tobago,WL,46
Tunisia,WF,48
Turkey,TR,40
Turkmenistan,WA,45
Turks & Caicos Islands,WL,46
Tuvalu,WA,45
Uganda,WF,48
Ukraine,WE,47
United Arab Emirates,WM,49
United Kingdom,GB,28
United States,US,29
United States Minor Outlying Islands (the),WA,45
Uruguay,WL,46
Uzbekistan,WA,45
Vanuatu,WA,45
Vatican City,WE,47
Venezuela,WL,46
Vietnam,WA,45
British Virgin Islands,WL,46
U.S. Virgin Islands,WL,46
Wallis & Futuna,WA,45
Western Sahara,WF,48
Yemen,WM,49
Zambia,WF,48
Zanzibar,WF,48
Zimbabwe,WF,48
================================================
FILE: data/custom_dictionaries/data_global_burden_of_disease.csv
================================================
iso3c,country.name,gbd_region,gbd_superregion
CHN,China,East Asia,"Southeast Asia, East Asia, and Oceania"
PRK,North Korea,East Asia,"Southeast Asia, East Asia, and Oceania"
TWN,Taiwan,East Asia,"Southeast Asia, East Asia, and Oceania"
KHM,Cambodia,Southeast Asia,"Southeast Asia, East Asia, and Oceania"
IDN,Indonesia,Southeast Asia,"Southeast Asia, East Asia, and Oceania"
LAO,Laos,Southeast Asia,"Southeast Asia, East Asia, and Oceania"
MYS,Malaysia,Southeast Asia,"Southeast Asia, East Asia, and Oceania"
MDV,Maldives,Southeast Asia,"Southeast Asia, East Asia, and Oceania"
MUS,Mauritius,Southeast Asia,"Southeast Asia, East Asia, and Oceania"
MMR,Myanmar,Southeast Asia,"Southeast Asia, East Asia, and Oceania"
PHL,Philippines,Southeast Asia,"Southeast Asia, East Asia, and Oceania"
LKA,Sri Lanka,Southeast Asia,"Southeast Asia, East Asia, and Oceania"
SYC,Seychelles,Southeast Asia,"Southeast Asia, East Asia, and Oceania"
THA,Thailand,Southeast Asia,"Southeast Asia, East Asia, and Oceania"
TLS,Timor-Leste,Southeast Asia,"Southeast Asia, East Asia, and Oceania"
VNM,Vietnam,Southeast Asia,"Southeast Asia, East Asia, and Oceania"
ASM,American Samoa,Oceania,"Southeast Asia, East Asia, and Oceania"
FSM,Federated States of Micronesia,Oceania,"Southeast Asia, East Asia, and Oceania"
FJI,Fiji,Oceania,"Southeast Asia, East Asia, and Oceania"
GUM,Guam,Oceania,"Southeast Asia, East Asia, and Oceania"
KIR,Kiribati,Oceania,"Southeast Asia, East Asia, and Oceania"
MHL,Marshall Islands,Oceania,"Southeast Asia, East Asia, and Oceania"
MNP,Northern Mariana Islands,Oceania,"Southeast Asia, East Asia, and Oceania"
PNG,Papua New Guinea,Oceania,"Southeast Asia, East Asia, and Oceania"
WSM,Samoa,Oceania,"Southeast Asia, East Asia, and Oceania"
SLB,Solomon Islands,Oceania,"Southeast Asia, East Asia, and Oceania"
TON,Tonga,Oceania,"Southeast Asia, East Asia, and Oceania"
VUT,Vanuatu,Oceania,"Southeast Asia, East Asia, and Oceania"
ARM,Armenia,Central Asia,"Central Europe, Eastern Europe, and Central Asia"
AZE,Azerbaijan,Central Asia,"Central Europe, Eastern Europe, and Central Asia"
GEO,Georgia,Central Asia,"Central Europe, Eastern Europe, and Central Asia"
KAZ,Kazakhstan,Central Asia,"Central Europe, Eastern Europe, and Central Asia"
KGZ,Kyrgyzstan,Central Asia,"Central Europe, Eastern Europe, and Central Asia"
MNG,Mongolia,Central Asia,"Central Europe, Eastern Europe, and Central Asia"
TJK,Tajikistan,Central Asia,"Central Europe, Eastern Europe, and Central Asia"
TKM,Turkmenistan,Central Asia,"Central Europe, Eastern Europe, and Central Asia"
UZB,Uzbekistan,Central Asia,"Central Europe, Eastern Europe, and Central Asia"
ALB,Albania,Central Europe,"Central Europe, Eastern Europe, and Central Asia"
BIH,Bosnia and Herzegovina,Central Europe,"Central Europe, Eastern Europe, and Central Asia"
BGR,Bulgaria,Central Europe,"Central Europe, Eastern Europe, and Central Asia"
HRV,Croatia,Central Europe,"Central Europe, Eastern Europe, and Central Asia"
CZE,Czech Republic,Central Europe,"Central Europe, Eastern Europe, and Central Asia"
HUN,Hungary,Central Europe,"Central Europe, Eastern Europe, and Central Asia"
MKD,Macedonia,Central Europe,"Central Europe, Eastern Europe, and Central Asia"
MNE,Montenegro,Central Europe,"Central Europe, Eastern Europe, and Central Asia"
POL,Poland,Central Europe,"Central Europe, Eastern Europe, and Central Asia"
ROU,Romania,Central Europe,"Central Europe, Eastern Europe, and Central Asia"
SRB,Serbia,Central Europe,"Central Europe, Eastern Europe, and Central Asia"
SVK,Slovakia,Central Europe,"Central Europe, Eastern Europe, and Central Asia"
SVN,Slovenia,Central Europe,"Central Europe, Eastern Europe, and Central Asia"
BLR,Belarus,Eastern Europe,"Central Europe, Eastern Europe, and Central Asia"
EST,Estonia,Eastern Europe,"Central Europe, Eastern Europe, and Central Asia"
LVA,Latvia,Eastern Europe,"Central Europe, Eastern Europe, and Central Asia"
LTU,Lithuania,Eastern Europe,"Central Europe, Eastern Europe, and Central Asia"
MDA,Moldova,Eastern Europe,"Central Europe, Eastern Europe, and Central Asia"
RUS,Russia,Eastern Europe,"Central Europe, Eastern Europe, and Central Asia"
UKR,Ukraine,Eastern Europe,"Central Europe, Eastern Europe, and Central Asia"
BRN,Brunei,High-income Asia Pacific,High-income
JPN,Japan,High-income Asia Pacific,High-income
KOR,South Korea,High-income Asia Pacific,High-income
SGP,Singapore,High-income Asia Pacific,High-income
AUS,Australia,Australasia,High-income
NZL,New Zealand,Australasia,High-income
AND,Andorra,Western Europe,High-income
AUT,Austria,Western Europe,High-income
BEL,Belgium,Western Europe,High-income
CYP,Cyprus,Western Europe,High-income
DNK,Denmark,Western Europe,High-income
FIN,Finland,Western Europe,High-income
FRA,France,Western Europe,High-income
DEU,Germany,Western Europe,High-income
GRC,Greece,Western Europe,High-income
ISL,Iceland,Western Europe,High-income
IRL,Ireland,Western Europe,High-income
ISR,Israel,Western Europe,High-income
ITA,Italy,Western Europe,High-income
LUX,Luxembourg,Western Europe,High-income
MLT,Malta,Western Europe,High-income
NLD,Netherlands,Western Europe,High-income
NOR,Norway,Western Europe,High-income
PRT,Portugal,Western Europe,High-income
ESP,Spain,Western Europe,High-income
SWE,Sweden,Western Europe,High-income
CHE,Switzerland,Western Europe,High-income
GBR,United Kingdom,Western Europe,High-income
ARG,Argentina,Southern Latin America,High-income
CHL,Chile,Southern Latin America,High-income
URY,Uruguay,Southern Latin America,High-income
CAN,Canada,High-income North America,High-income
GRL,Greenland,High-income North America,High-income
USA,United States,High-income North America,High-income
ATG,Antigua and Barbuda,Caribbean,Latin America and Caribbean
BHS,The Bahamas,Caribbean,Latin America and Caribbean
BRB,Barbados,Caribbean,Latin America and Caribbean
BLZ,Belize,Caribbean,Latin America and Caribbean
BMU,Bermuda,Caribbean,Latin America and Caribbean
CUB,Cuba,Caribbean,Latin America and Caribbean
DMA,Dominica,Caribbean,Latin America and Caribbean
DOM,Dominican Republic,Caribbean,Latin America and Caribbean
GRD,Grenada,Caribbean,Latin America and Caribbean
GUY,Guyana,Caribbean,Latin America and Caribbean
HTI,Haiti,Caribbean,Latin America and Caribbean
JAM,Jamaica,Caribbean,Latin America and Caribbean
PRI,Puerto Rico,Caribbean,Latin America and Caribbean
LCA,Saint Lucia,Caribbean,Latin America and Caribbean
VCT,Saint Vincent and the Grenadines,Caribbean,Latin America and Caribbean
SUR,Suriname,Caribbean,Latin America and Caribbean
TTO,Trinidad and Tobago,Caribbean,Latin America and Caribbean
VIR,"Virgin Islands, U.S.",Caribbean,Latin America and Caribbean
BOL,Bolivia,Andean Latin America,Latin America and Caribbean
ECU,Ecuador,Andean Latin America,Latin America and Caribbean
PER,Peru,Andean Latin America,Latin America and Caribbean
COL,Colombia,Central Latin America,Latin America and Caribbean
CRI,Costa Rica,Central Latin America,Latin America and Caribbean
SLV,El Salvador,Central Latin America,Latin America and Caribbean
GTM,Guatemala,Central Latin America,Latin America and Caribbean
HND,Honduras,Central Latin America,Latin America and Caribbean
MEX,Mexico,Central Latin America,Latin America and Caribbean
NIC,Nicaragua,Central Latin America,Latin America and Caribbean
PAN,Panama,Central Latin America,Latin America and Caribbean
VEN,Venezuela,Central Latin America,Latin America and Caribbean
BRA,Brazil,Tropical Latin America,Latin America and Caribbean
PRY,Paraguay,Tropical Latin America,Latin America and Caribbean
AFG,Afghanistan,North Africa and Middle East,North Africa and Middle East
DZA,Algeria,North Africa and Middle East,North Africa and Middle East
BHR,Bahrain,North Africa and Middle East,North Africa and Middle East
EGY,Egypt,North Africa and Middle East,North Africa and Middle East
IRN,Iran,North Africa and Middle East,North Africa and Middle East
IRQ,Iraq,North Africa and Middle East,North Africa and Middle East
JOR,Jordan,North Africa and Middle East,North Africa and Middle East
KWT,Kuwait,North Africa and Middle East,North Africa and Middle East
LBN,Lebanon,North Africa and Middle East,North Africa and Middle East
LBY,Libya,North Africa and Middle East,North Africa and Middle East
MAR,Morocco,North Africa and Middle East,North Africa and Middle East
PSE,Palestine,North Africa and Middle East,North Africa and Middle East
OMN,Oman,North Africa and Middle East,North Africa and Middle East
QAT,Qatar,North Africa and Middle East,North Africa and Middle East
SAU,Saudi Arabia,North Africa and Middle East,North Africa and Middle East
SDN,Sudan,North Africa and Middle East,North Africa and Middle East
SYR,Syria,North Africa and Middle East,North Africa and Middle East
TUN,Tunisia,North Africa and Middle East,North Africa and Middle East
TUR,Turkey,North Africa and Middle East,North Africa and Middle East
ARE,United Arab Emirates,North Africa and Middle East,North Africa and Middle East
YEM,Yemen,North Africa and Middle East,North Africa and Middle East
BGD,Bangladesh,South Asia,South Asia
BTN,Bhutan,South Asia,South Asia
IND,India,South Asia,South Asia
NPL,Nepal,South Asia,South Asia
PAK,Pakistan,South Asia,South Asia
AGO,Angola,Central Sub-Saharan Africa,Sub-Saharan Africa
CAF,Central African Republic,Central Sub-Saharan Africa,Sub-Saharan Africa
COG,Congo,Central Sub-Saharan Africa,Sub-Saharan Africa
COD,Democratic Republic of the Congo,Central Sub-Saharan Africa,Sub-Saharan Africa
GNQ,Equatorial Guinea,Central Sub-Saharan Africa,Sub-Saharan Africa
GAB,Gabon,Central Sub-Saharan Africa,Sub-Saharan Africa
BDI,Burundi,Eastern Sub-Saharan Africa,Sub-Saharan Africa
COM,Comoros,Eastern Sub-Saharan Africa,Sub-Saharan Africa
DJI,Djibouti,Eastern Sub-Saharan Africa,Sub-Saharan Africa
ERI,Eritrea,Eastern Sub-Saharan Africa,Sub-Saharan Africa
ETH,Ethiopia,Eastern Sub-Saharan Africa,Sub-Saharan Africa
KEN,Kenya,Eastern Sub-Saharan Africa,Sub-Saharan Africa
MDG,Madagascar,Eastern Sub-Saharan Africa,Sub-Saharan Africa
MWI,Malawi,Eastern Sub-Saharan Africa,Sub-Saharan Africa
MOZ,Mozambique,Eastern Sub-Saharan Africa,Sub-Saharan Africa
RWA,Rwanda,Eastern Sub-Saharan Africa,Sub-Saharan Africa
SOM,Somalia,Eastern Sub-Saharan Africa,Sub-Saharan Africa
SSD,South Sudan,Eastern Sub-Saharan Africa,Sub-Saharan Africa
TZA,Tanzania,Eastern Sub-Saharan Africa,Sub-Saharan Africa
UGA,Uganda,Eastern Sub-Saharan Africa,Sub-Saharan Africa
ZMB,Zambia,Eastern Sub-Saharan Africa,Sub-Saharan Africa
BWA,Botswana,Southern Sub-Saharan Africa,Sub-Saharan Africa
LSO,Lesotho,Southern Sub-Saharan Africa,Sub-Saharan Africa
NAM,Namibia,Southern Sub-Saharan Africa,Sub-Saharan Africa
ZAF,South Africa,Southern Sub-Saharan Africa,Sub-Saharan Africa
SWZ,Swaziland,Southern Sub-Saharan Africa,Sub-Saharan Africa
ZWE,Zimbabwe,Southern Sub-Saharan Africa,Sub-Saharan Africa
BEN,Benin,Western Sub-Saharan Africa,Sub-Saharan Africa
BFA,Burkina Faso,Western Sub-Saharan Africa,Sub-Saharan Africa
CMR,Cameroon,Western Sub-Saharan Africa,Sub-Saharan Africa
CPV,Cape Verde,Western Sub-Saharan Africa,Sub-Saharan Africa
TCD,Chad,Western Sub-Saharan Africa,Sub-Saharan Africa
CIV,Cote d'Ivoire,Western Sub-Saharan Africa,Sub-Saharan Africa
GMB,The Gambia,Western Sub-Saharan Africa,Sub-Saharan Africa
GHA,Ghana,Western Sub-Saharan Africa,Sub-Saharan Africa
GIN,Guinea,Western Sub-Saharan Africa,Sub-Saharan Africa
GNB,Guinea-Bissau,Western Sub-Saharan Africa,Sub-Saharan Africa
LBR,Liberia,Western Sub-Saharan Africa,Sub-Saharan Africa
MLI,Mali,Western Sub-Saharan Africa,Sub-Saharan Africa
MRT,Mauritania,Western Sub-Saharan Africa,Sub-Saharan Africa
NER,Niger,Western Sub-Saharan Africa,Sub-Saharan Africa
NGA,Nigeria,Western Sub-Saharan Africa,Sub-Saharan Africa
STP,Sao Tome and Principe,Western Sub-Saharan Africa,Sub-Saharan Africa
SEN,Senegal,Western Sub-Saharan Africa,Sub-Saharan Africa
SLE,Sierra Leone,Western Sub-Saharan Africa,Sub-Saharan Africa
TGO,Togo,Western Sub-Saharan Africa,Sub-Saharan Africa
================================================
FILE: data/custom_dictionaries/data_gtap10.csv
================================================
country,gtap_num,gtap_code,gtap_name
Australia,1,AUS,Australia
Christmas Island,1,AUS,Australia
Cocos (Keeling) Islands,1,AUS,Australia
Heard & McDonald Islands,1,AUS,Australia
Norfolk Island,1,AUS,Australia
New Zealand,2,NZL,New Zealand
American Samoa,3,XOC,Rest of Oceania
Cook Islands,3,XOC,Rest of Oceania
Fiji,3,XOC,Rest of Oceania
French Polynesia,3,XOC,Rest of Oceania
Guam,3,XOC,Rest of Oceania
Kiribati,3,XOC,Rest of Oceania
Marshall Islands,3,XOC,Rest of Oceania
Micronesia (Federated States of),3,XOC,Rest of Oceania
Nauru,3,XOC,Rest of Oceania
New Caledonia,3,XOC,Rest of Oceania
Niue,3,XOC,Rest of Oceania
Northern Mariana Islands,3,XOC,Rest of Oceania
Palau,3,XOC,Rest of Oceania
Papua New Guinea,3,XOC,Rest of Oceania
Pitcairn Islands,3,XOC,Rest of Oceania
Samoa,3,XOC,Rest of Oceania
Solomon Islands,3,XOC,Rest of Oceania
Tokelau,3,XOC,Rest of Oceania
Tonga,3,XOC,Rest of Oceania
Tuvalu,3,XOC,Rest of Oceania
United States Minor Outlying Islands (the),3,XOC,Rest of Oceania
Vanuatu,3,XOC,Rest of Oceania
Wallis & Futuna,3,XOC,Rest of Oceania
China,4,CHN,China
Hong Kong SAR China,5,HKG,"Hong Kong, Special Administrative Region of China"
Japan,6,JPN,Japan
South Korea,7,KOR,"Korea, Republic of"
Mongolia,8,MNG,Mongolia
Taiwan,9,TWN,Taiwan
North Korea,10,XEA,Rest of East Asia
Macao SAR China,10,XEA,Rest of East Asia
Brunei,11,BRN,Brunei Darussalam
Cambodia,12,KHM,Cambodia
Indonesia,13,IDN,Indonesia
Laos,14,LAO,Lao PDR
Malaysia,15,MYS,Malaysia
Philippines,16,PHL,Philippines
Singapore,17,SGP,Singapore
Thailand,18,THA,Thailand
Vietnam,19,VNM,Viet Nam
Myanmar (Burma),20,XSE,Rest of Southeast Asia
Timor-Leste,20,XSE,Rest of Southeast Asia
Bangladesh,21,BGD,Bangladesh
India,22,IND,India
Nepal,23,NPL,Nepal
Pakistan,24,PAK,Pakistan
Sri Lanka,25,LKA,Sri Lanka
Afghanistan,26,XSA,Rest of South Asia
Bhutan,26,XSA,Rest of South Asia
Maldives,26,XSA,Rest of South Asia
Canada,27,CAN,Canada
United States,28,USA,United States of America
Mexico,29,MEX,Mexico
Bermuda,30,XNA,Rest of North America
Greenland,30,XNA,Rest of North America
St. Pierre & Miquelon,30,XNA,Rest of North America
Argentina,31,ARG,Argentina
Bolivia,32,BOL,Bolivia
Brazil,33,BRA,Brazil
Chile,34,CHL,Chile
Colombia,35,COL,Colombia
Ecuador,36,ECU,Ecuador
Paraguay,37,PRY,Paraguay
Peru,38,PER,Peru
Uruguay,39,URY,Uruguay
Venezuela,40,VEN,Venezuela (Bolivarian Republic of)
Falkland Islands,41,XSM,Rest of South America
French Guiana,41,XSM,Rest of South America
Guyana,41,XSM,Rest of South America
South Georgia & South Sandwich Islands,41,XSM,Rest of South America
Suriname,41,XSM,Rest of South America
Costa Rica,42,CRI,Costa Rica
Guatemala,43,GTM,Guatemala
Honduras,44,HND,Honduras
Nicaragua,45,NIC,Nicaragua
Panama,46,PAN,Panama
El Salvador,47,SLV,El Salvador
Belize,48,XCA,Rest of Central America
Dominican Republic,49,DOM,Dominican Republic
Jamaica,50,JAM,Jamaica
Puerto Rico,51,PRI,Puerto Rico
Trinidad & Tobago,52,TTO,Trinidad and Tobago
Anguilla,53,XCB,Rest of Caribbean
Antigua & Barbuda,53,XCB,Rest of Caribbean
Aruba,53,XCB,Rest of Caribbean
Bahamas,53,XCB,Rest of Caribbean
Barbados,53,XCB,Rest of Caribbean
British Virgin Islands,53,XCB,Rest of Caribbean
Cayman Islands,53,XCB,Rest of Caribbean
Cuba,53,XCB,Rest of Caribbean
Dominica,53,XCB,Rest of Caribbean
Grenada,53,XCB,Rest of Caribbean
Haiti,53,XCB,Rest of Caribbean
Montserrat,53,XCB,Rest of Caribbean
Netherlands Antilles,53,XCB,Rest of Caribbean
St. Kitts & Nevis,53,XCB,Rest of Caribbean
St. Lucia,53,XCB,Rest of Caribbean
St. Vincent & Grenadines,53,XCB,Rest of Caribbean
Turks & Caicos Islands,53,XCB,Rest of Caribbean
U.S. Virgin Islands,53,XCB,Rest of Caribbean
Austria,54,AUT,Austria
Belgium,55,BEL,Belgium
Bulgaria,56,BGR,Bulgaria
Croatia,57,HRV,Croatia
Cyprus,58,CYP,Cyprus
Czechia,59,CZE,Czech Republic
Denmark,60,DNK,Denmark
Estonia,61,EST,Estonia
Finland,62,FIN,Finland
Åland Islands,62,FIN,Finland
France,63,FRA,France
Guadeloupe,63,FRA,France
Martinique,63,FRA,France
Réunion,63,FRA,France
Germany,64,DEU,Germany
Greece,65,GRC,Greece
Hungary,66,HUN,Hungary
Ireland,67,IRL,Ireland
Italy,68,ITA,Italy
Latvia,69,LVA,Latvia
Lithuania,70,LTU,Lithuania
Luxembourg,71,LUX,Luxembourg
Malta,72,MLT,Malta
Netherlands,73,NLD,Netherlands
Poland,74,POL,Poland
Portugal,75,PRT,Portugal
Romania,76,ROU,Romania
Slovakia,77,SVK,Slovakia
Slovenia,78,SVN,Slovenia
Spain,79,ESP,Spain
Sweden,80,SWE,Sweden
United Kingdom,81,GBR,United Kingdom
Switzerland,82,CHE,Switzerland
Norway,83,NOR,Norway
Svalbard & Jan Mayen,83,NOR,Norway
Iceland,84,XEF,Rest of European Free Trade Association
Liechtenstein,84,XEF,Rest of European Free Trade Association
Albania,85,ALB,Albania
Belarus,86,BLR,Belarus
Russia,87,RUS,Russian Federation
Ukraine,88,UKR,Ukraine
Moldova,89,XEE,Rest of Eastern Europe
Andorra,90,XER,Rest of Europe
Bosnia & Herzegovina,90,XER,Rest of Europe
Faroe Islands,90,XER,Rest of Europe
Gibraltar,90,XER,Rest of Europe
Guernsey,90,XER,Rest of Europe
Vatican City,90,XER,Rest of Europe
Isle of Man,90,XER,Rest of Europe
Jersey,90,XER,Rest of Europe
Monaco,90,XER,Rest of Europe
Montenegro,90,XER,Rest of Europe
North Macedonia,90,XER,Rest of Europe
San Marino,90,XER,Rest of Europe
Serbia,90,XER,Rest of Europe
Kazakhstan,91,KAZ,Kazakhstan
Kyrgyzstan,92,KGZ,Kyrgyzstan
Tajikistan,93,TJK,Tajikistan
Turkmenistan,94,XSU,Rest of Former Soviet Union
Uzbekistan,94,XSU,Rest of Former Soviet Union
Armenia,95,ARM,Armenia
Azerbaijan,96,AZE,Azerbaijan
Georgia,97,GEO,Georgia
Bahrain,98,BHR,Bahrain
Iran,99,IRN,"Iran, Islamic Republic of"
Israel,100,ISR,Israel
Jordan,101,JOR,Jordan
Kuwait,102,KWT,Kuwait
Oman,103,OMN,Oman
Qatar,104,QAT,Qatar
Saudi Arabia,105,SAU,Saudi Arabia
Turkey,106,TUR,Türkiye
United Arab Emirates,107,ARE,United Arab Emirates
Iraq,108,XWS,Rest of Western Asia
Lebanon,108,XWS,Rest of Western Asia
Palestinian Territories,108,XWS,Rest of Western Asia
Syria,108,XWS,Rest of Western Asia
Yemen,108,XWS,Rest of Western Asia
Egypt,109,EGY,Egypt
Morocco,110,MAR,Morocco
Tunisia,111,TUN,Tunisia
Algeria,112,XNF,Rest of North Africa
Libya,112,XNF,Rest of North Africa
Western Sahara,112,XNF,Rest of North Africa
Benin,113,BEN,Benin
Burkina Faso,114,BFA,Burkina Faso
Cameroon,115,CMR,Cameroon
Côte d’Ivoire,116,CIV,Côte d'Ivoire
Ghana,117,GHA,Ghana
Guinea,118,GIN,Guinea
Nigeria,119,NGA,Nigeria
Senegal,120,SEN,Senegal
Togo,121,TGO,Togo
Cape Verde,122,XWF,Rest of Western Africa
Gambia,122,XWF,Rest of Western Africa
Guinea-Bissau,122,XWF,Rest of Western Africa
Liberia,122,XWF,Rest of Western Africa
Mali,122,XWF,Rest of Western Africa
Mauritania,122,XWF,Rest of Western Africa
Niger,122,XWF,Rest of Western Africa
St. Helena,122,XWF,Rest of Western Africa
Sierra Leone,122,XWF,Rest of Western Africa
Central African Republic,123,XCF,Rest of Central Africa
Chad,123,XCF,Rest of Central Africa
Congo - Brazzaville,123,XCF,Rest of Central Africa
Equatorial Guinea,123,XCF,Rest of Central Africa
Gabon,123,XCF,Rest of Central Africa
São Tomé & Príncipe,123,XCF,Rest of Central Africa
Angola,124,XAC,South Central Africa
Congo - Kinshasa,124,XAC,South Central Africa
Ethiopia,125,ETH,Ethiopia
Kenya,126,KEN,Kenya
Madagascar,127,MDG,Madagascar
Malawi,128,MWI,Malawi
Mauritius,129,MUS,Mauritius
Mozambique,130,MOZ,Mozambique
Rwanda,131,RWA,Rwanda
Tanzania,132,TZA,"Tanzania, United Republic of"
Uganda,133,UGA,Uganda
Zambia,134,ZMB,Zambia
Zimbabwe,135,ZWE,Zimbabwe
Burundi,136,XEC,Rest of Eastern Africa
Comoros,136,XEC,Rest of Eastern Africa
Djibouti,136,XEC,Rest of Eastern Africa
Eritrea,136,XEC,Rest of Eastern Africa
Mayotte,136,XEC,Rest of Eastern Africa
Seychelles,136,XEC,Rest of Eastern Africa
Somalia,136,XEC,Rest of Eastern Africa
Sudan,136,XEC,Rest of Eastern Africa
Botswana,137,BWA,Botswana
Namibia,138,NAM,Namibia
South Africa,139,ZAF,South Africa
Eswatini,140,XSC,Rest of South African Customs Union
Lesotho,140,XSC,Rest of South African Customs Union
Antarctica,141,XTW,Rest of the World
Bouvet Island,141,XTW,Rest of the World
British Indian Ocean Territory,141,XTW,Rest of the World
French Southern Territories,141,XTW,Rest of the World
================================================
FILE: data/custom_dictionaries/data_gtap11.csv
================================================
country,gtap_num,gtap_code,gtap_name
Australia,1,AUS,Australia
Christmas Island,1,AUS,Australia
Cocos (Keeling) Islands,1,AUS,Australia
Heard & McDonald Islands,1,AUS,Australia
Norfolk Island,1,AUS,Australia
New Zealand,2,NZL,New Zealand
American Samoa,3,XOC,Rest of Oceania
Cook Islands,3,XOC,Rest of Oceania
Fiji,3,XOC,Rest of Oceania
French Polynesia,3,XOC,Rest of Oceania
Guam,3,XOC,Rest of Oceania
Kiribati,3,XOC,Rest of Oceania
Marshall Islands,3,XOC,Rest of Oceania
Micronesia (Federated States of),3,XOC,Rest of Oceania
Nauru,3,XOC,Rest of Oceania
New Caledonia,3,XOC,Rest of Oceania
Niue,3,XOC,Rest of Oceania
Northern Mariana Islands,3,XOC,Rest of Oceania
Palau,3,XOC,Rest of Oceania
Papua New Guinea,3,XOC,Rest of Oceania
Pitcairn Islands,3,XOC,Rest of Oceania
Samoa,3,XOC,Rest of Oceania
Solomon Islands,3,XOC,Rest of Oceania
Tokelau,3,XOC,Rest of Oceania
Tonga,3,XOC,Rest of Oceania
Tuvalu,3,XOC,Rest of Oceania
United States Minor Outlying Islands (the),3,XOC,Rest of Oceania
Vanuatu,3,XOC,Rest of Oceania
Wallis & Futuna,3,XOC,Rest of Oceania
China,4,CHN,China
Hong Kong SAR China,5,HKG,"Hong Kong, Special Administrative Region of China"
Japan,6,JPN,Japan
South Korea,7,KOR,"Korea, Republic of"
Mongolia,8,MNG,Mongolia
Taiwan,9,TWN,Taiwan
Macao SAR China,10,XEA,Rest of East Asia
North Korea,10,XEA,Rest of East Asia
Brunei,11,BRN,Brunei Darussalam
Cambodia,12,KHM,Cambodia
Indonesia,13,IDN,Indonesia
Laos,14,LAO,Lao PDR
Malaysia,15,MYS,Malaysia
Philippines,16,PHL,Philippines
Singapore,17,SGP,Singapore
Thailand,18,THA,Thailand
Vietnam,19,VNM,Viet Nam
Myanmar (Burma),20,XSE,Rest of Southeast Asia
Timor-Leste,20,XSE,Rest of Southeast Asia
Afghanistan,21,AFG,Afghanistan
Bangladesh,22,BGD,Bangladesh
India,23,IND,India
Nepal,24,NPL,Nepal
Pakistan,25,PAK,Pakistan
Sri Lanka,26,LKA,Sri Lanka
Bhutan,27,XSA,Rest of South Asia
Maldives,27,XSA,Rest of South Asia
Canada,28,CAN,Canada
United States,29,USA,United States of America
Mexico,30,MEX,Mexico
Bermuda,31,XNA,Rest of North America
Greenland,31,XNA,Rest of North America
St. Pierre & Miquelon,31,XNA,Rest of North America
Argentina,32,ARG,Argentina
Bolivia,33,BOL,Bolivia
Brazil,34,BRA,Brazil
Chile,35,CHL,Chile
Colombia,36,COL,Colombia
Ecuador,37,ECU,Ecuador
Paraguay,38,PRY,Paraguay
Peru,39,PER,Peru
Uruguay,40,URY,Uruguay
Venezuela,41,VEN,Venezuela (Bolivarian Republic of)
Falkland Islands,42,XSM,Rest of South America
French Guiana,42,XSM,Rest of South America
Guyana,42,XSM,Rest of South America
South Georgia & South Sandwich Islands,42,XSM,Rest of South America
Suriname,42,XSM,Rest of South America
Costa Rica,43,CRI,Costa Rica
Guatemala,44,GTM,Guatemala
Honduras,45,HND,Honduras
Nicaragua,46,NIC,Nicaragua
Panama,47,PAN,Panama
El Salvador,48,SLV,El Salvador
Belize,49,XCA,Rest of Central America
Dominican Republic,50,DOM,Dominican Republic
Haiti,51,HTI,Haiti
Jamaica,52,JAM,Jamaica
Puerto Rico,53,PRI,Puerto Rico
Trinidad & Tobago,54,TTO,Trinidad and Tobago
Anguilla,55,XCB,Rest of Caribbean
Antigua & Barbuda,55,XCB,Rest of Caribbean
Aruba,55,XCB,Rest of Caribbean
Bahamas,55,XCB,Rest of Caribbean
Barbados,55,XCB,Rest of Caribbean
Caribbean Netherlands,55,XCB,Rest of Caribbean
British Virgin Islands,55,XCB,Rest of Caribbean
Cayman Islands,55,XCB,Rest of Caribbean
Cuba,55,XCB,Rest of Caribbean
Curaçao,55,XCB,Rest of Caribbean
Dominica,55,XCB,Rest of Caribbean
Grenada,55,XCB,Rest of Caribbean
Montserrat,55,XCB,Rest of Caribbean
St. Barthélemy,55,XCB,Rest of Caribbean
St. Kitts & Nevis,55,XCB,Rest of Caribbean
St. Lucia,55,XCB,Rest of Caribbean
Saint Martin (French part),55,XCB,Rest of Caribbean
St. Vincent & Grenadines,55,XCB,Rest of Caribbean
Sint Maarten,55,XCB,Rest of Caribbean
Turks & Caicos Islands,55,XCB,Rest of Caribbean
U.S. Virgin Islands,55,XCB,Rest of Caribbean
Austria,56,AUT,Austria
Belgium,57,BEL,Belgium
Bulgaria,58,BGR,Bulgaria
Croatia,59,HRV,Croatia
Cyprus,60,CYP,Cyprus
Czechia,61,CZE,Czech Republic
Denmark,62,DNK,Denmark
Estonia,63,EST,Estonia
Finland,64,FIN,Finland
Åland Islands,64,FIN,Finland
France,65,FRA,France
Guadeloupe,65,FRA,France
Martinique,65,FRA,France
Réunion,65,FRA,France
Germany,66,DEU,Germany
Greece,67,GRC,Greece
Hungary,68,HUN,Hungary
Ireland,69,IRL,Ireland
Italy,70,ITA,Italy
Latvia,71,LVA,Latvia
Lithuania,72,LTU,Lithuania
Luxembourg,73,LUX,Luxembourg
Malta,74,MLT,Malta
Netherlands,75,NLD,Netherlands
Poland,76,POL,Poland
Portugal,77,PRT,Portugal
Romania,78,ROU,Romania
Slovakia,79,SVK,Slovakia
Slovenia,80,SVN,Slovenia
Spain,81,ESP,Spain
Sweden,82,SWE,Sweden
United Kingdom,83,GBR,United Kingdom
Switzerland,84,CHE,Switzerland
Norway,85,NOR,Norway
Svalbard & Jan Mayen,85,NOR,Norway
Iceland,86,XEF,Rest of European Free Trade Association
Liechtenstein,86,XEF,Rest of European Free Trade Association
Albania,87,ALB,Albania
Serbia,88,SRB,Serbia
Belarus,89,BLR,Belarus
Russia,90,RUS,Russian Federation
Ukraine,91,UKR,Ukraine
Moldova,92,XEE,Rest of Eastern Europe
Andorra,93,XER,Rest of Europe
Bosnia & Herzegovina,93,XER,Rest of Europe
Faroe Islands,93,XER,Rest of Europe
Gibraltar,93,XER,Rest of Europe
Guernsey,93,XER,Rest of Europe
Vatican City,93,XER,Rest of Europe
Isle of Man,93,XER,Rest of Europe
Jersey,93,XER,Rest of Europe
Kosovo,93,XER,Rest of Europe
Monaco,93,XER,Rest of Europe
Montenegro,93,XER,Rest of Europe
North Macedonia,93,XER,Rest of Europe
San Marino,93,XER,Rest of Europe
NA,93,XER,Rest of Europe
Kazakhstan,94,KAZ,Kazakhstan
Kyrgyzstan,95,KGZ,Kyrgyzstan
Tajikistan,96,TJK,Tajikistan
Uzbekistan,97,UZB,Uzbekistan
Turkmenistan,98,XSU,Rest of Former Soviet Union
Armenia,99,ARM,Armenia
Azerbaijan,100,AZE,Azerbaijan
Georgia,101,GEO,Georgia
Bahrain,102,BHR,Bahrain
Iran,103,IRN,"Iran, Islamic Republic of"
Iraq,104,IRQ,Iraq
Israel,105,ISR,Israel
Jordan,106,JOR,Jordan
Kuwait,107,KWT,Kuwait
Lebanon,108,LBN,Lebanon
Oman,109,OMN,Oman
Palestinian Territories,110,PSE,"Palestineian Territory, Occupied"
Qatar,111,QAT,Qatar
Saudi Arabia,112,SAU,Saudi Arabia
Syria,113,SYR,Syrian Arab Republic
Turkey,114,TUR,Turkey
United Arab Emirates,115,ARE,United Arab Emirates
Yemen,116,XWS,Rest of Western Asia
Algeria,117,DZA,Algeria
Egypt,118,EGY,Egypt
Morocco,119,MAR,Morocco
Tunisia,120,TUN,Tunisia
Libya,121,XNF,Rest of North Africa
Western Sahara,121,XNF,Rest of North Africa
Benin,122,BEN,Benin
Burkina Faso,123,BFA,Burkina Faso
Cameroon,124,CMR,Cameroon
Côte d’Ivoire,125,CIV,Côte d'Ivoire
Ghana,126,GHA,Ghana
Guinea,127,GIN,Guinea
Mali,128,MLI,Mali
Niger,129,NER,Niger
Nigeria,130,NGA,Nigeria
Senegal,131,SEN,Senegal
Togo,132,TGO,Togo
Cape Verde,133,XWF,Rest of Western Africa
Gambia,133,XWF,Rest of Western Africa
Guinea-Bissau,133,XWF,Rest of Western Africa
Liberia,133,XWF,Rest of Western Africa
Mauritania,133,XWF,Rest of Western Africa
St. Helena,133,XWF,Rest of Western Africa
Sierra Leone,133,XWF,Rest of Western Africa
Central African Republic,134,CAF,Central African Republic
Chad,135,TCD,Chad
Congo - Brazzaville,136,COG,Congo
Congo - Kinshasa,137,COD,Democratic Republic of the Congo
Equatorial Guinea,138,GNQ,Equatorial Guinea
Gabon,139,GAB,Gabon
Angola,140,XAC,Rest of South and Central Africa
São Tomé & Príncipe,140,XAC,Rest of South and Central Africa
Comoros,141,COM,Comoros
Ethiopia,142,ETH,Ethiopia
Kenya,143,KEN,Kenya
Madagascar,144,MDG,Madagascar
Malawi,145,MWI,Malawi
Mauritius,146,MUS,Mauritius
Mozambique,147,MOZ,Mozambique
Rwanda,148,RWA,Rwanda
Sudan,149,SDN,Sudan
Tanzania,150,TZA,"Tanzania, United Republic of"
Uganda,151,UGA,Uganda
Zambia,152,ZMB,Zambia
Zimbabwe,153,ZWE,Zimbabwe
Burundi,154,XEC,Rest of Eastern Africa
Djibouti,154,XEC,Rest of Eastern Africa
Eritrea,154,XEC,Rest of Eastern Africa
Mayotte,154,XEC,Rest of Eastern Africa
Seychelles,154,XEC,Rest of Eastern Africa
Somalia,154,XEC,Rest of Eastern Africa
South Sudan,154,XEC,Rest of Eastern Africa
Botswana,155,BWA,Botswana
Eswatini,156,SWZ,Eswatini
Namibia,157,NAM,Namibia
South Africa,158,ZAF,South Africa
Lesotho,159,XSC,Rest of South African Customs Union
Antarctica,160,XTW,Rest of the World
Bouvet Island,160,XTW,Rest of the World
British Indian Ocean Territory,160,XTW,Rest of the World
French Southern Territories,160,XTW,Rest of the World
================================================
FILE: data/custom_dictionaries/data_gtap6.csv
================================================
country,gtap_num,gtap_code,gtap_name
Australia,1,AUS,Australia
New Zealand,2,NZL,New Zealand
American Samoa,3,XOC,Rest of Oceania
Cook Islands,3,XOC,Rest of Oceania
Fiji,3,XOC,Rest of Oceania
French Polynesia,3,XOC,Rest of Oceania
Guam,3,XOC,Rest of Oceania
Kiribati,3,XOC,Rest of Oceania
Marshall Islands,3,XOC,Rest of Oceania
Micronesia (Federated States of),3,XOC,Rest of Oceania
Nauru,3,XOC,Rest of Oceania
New Caledonia,3,XOC,Rest of Oceania
Niue,3,XOC,Rest of Oceania
Norfolk Island,3,XOC,Rest of Oceania
Northern Mariana Islands,3,XOC,Rest of Oceania
Palau,3,XOC,Rest of Oceania
Papua New Guinea,3,XOC,Rest of Oceania
Samoa,3,XOC,Rest of Oceania
Solomon Islands,3,XOC,Rest of Oceania
Tokelau,3,XOC,Rest of Oceania
Tonga,3,XOC,Rest of Oceania
Tuvalu,3,XOC,Rest of Oceania
Vanuatu,3,XOC,Rest of Oceania
Wallis & Futuna,3,XOC,Rest of Oceania
China,4,CHN,China
Hong Kong SAR China,5,HKG,"Hong Kong, Special Administrative Region of China"
Japan,6,JPN,Japan
South Korea,7,KOR,"Korea, Republic of"
Taiwan,8,TWN,Taiwan
North Korea,9,XEA,Rest of East Asia
Macao SAR China,9,XEA,Rest of East Asia
Mongolia,9,XEA,Rest of East Asia
Indonesia,10,IDN,Indonesia
Malaysia,11,MYS,Malaysia
Philippines,12,PHL,Philippines
Singapore,13,SGP,Singapore
Thailand,14,THA,Thailand
Vietnam,15,VNM,Viet Nam
Brunei,16,XSE,Rest of Southeast Asia
Cambodia,16,XSE,Rest of Southeast Asia
Laos,16,XSE,Rest of Southeast Asia
Myanmar (Burma),16,XSE,Rest of Southeast Asia
Timor-Leste,16,XSE,Rest of Southeast Asia
Bangladesh,17,BGD,Bangladesh
India,18,IND,India
Sri Lanka,19,LKA,Sri Lanka
Afghanistan,20,XSA,Rest of South Asia
Bhutan,20,XSA,Rest of South Asia
Maldives,20,XSA,Rest of South Asia
Nepal,20,XSA,Rest of South Asia
Pakistan,20,XSA,Rest of South Asia
Canada,21,CAN,Canada
United States,22,USA,United States of America
Mexico,23,MEX,Mexico
Bermuda,24,XNA,Rest of North America
Greenland,24,XNA,Rest of North America
St. Pierre & Miquelon,24,XNA,Rest of North America
Colombia,25,COL,Colombia
Peru,26,PER,Peru
Venezuela,27,VEN,Venezuela (Bolivarian Republic of)
Bolivia,28,XAP,Rest of Andean Pact
Ecuador,28,XAP,Rest of Andean Pact
Argentina,29,ARG,Argentina
Brazil,30,BRA,Brazil
Chile,31,CHL,Chile
Uruguay,32,URY,Uruguay
Falkland Islands,33,XSM,Rest of South America
French Guiana,33,XSM,Rest of South America
Guyana,33,XSM,Rest of South America
Paraguay,33,XSM,Rest of South America
Suriname,33,XSM,Rest of South America
Belize,34,XCA,Central America
Costa Rica,34,XCA,Central America
El Salvador,34,XCA,Central America
Guatemala,34,XCA,Central America
Honduras,34,XCA,Central America
Nicaragua,34,XCA,Central America
Panama,34,XCA,Central America
Antigua & Barbuda,35,XFA,Rest of Free Trade Area of the Americas
Bahamas,35,XFA,Rest of Free Trade Area of the Americas
Barbados,35,XFA,Rest of Free Trade Area of the Americas
Dominica,35,XFA,Rest of Free Trade Area of the Americas
Dominican Republic,35,XFA,Rest of Free Trade Area of the Americas
Grenada,35,XFA,Rest of Free Trade Area of the Americas
Haiti,35,XFA,Rest of Free Trade Area of the Americas
Jamaica,35,XFA,Rest of Free Trade Area of the Americas
Puerto Rico,35,XFA,Rest of Free Trade Area of the Americas
St. Kitts & Nevis,35,XFA,Rest of Free Trade Area of the Americas
St. Lucia,35,XFA,Rest of Free Trade Area of the Americas
St. Vincent & Grenadines,35,XFA,Rest of Free Trade Area of the Americas
Trinidad & Tobago,35,XFA,Rest of Free Trade Area of the Americas
U.S. Virgin Islands,35,XFA,Rest of Free Trade Area of the Americas
Anguilla,36,XCB,Rest of the Caribbean
Aruba,36,XCB,Rest of the Caribbean
British Virgin Islands,36,XCB,Rest of the Caribbean
Cayman Islands,36,XCB,Rest of the Caribbean
Cuba,36,XCB,Rest of the Caribbean
Guadeloupe,36,XCB,Rest of the Caribbean
Martinique,36,XCB,Rest of the Caribbean
Montserrat,36,XCB,Rest of the Caribbean
Netherlands Antilles,36,XCB,Rest of the Caribbean
Turks & Caicos Islands,36,XCB,Rest of the Caribbean
Austria,37,AUT,Austria
Belgium,38,BEL,Belgium
Denmark,39,DNK,Denmark
Finland,40,FIN,Finland
France,41,FRA,France
Germany,42,DEU,Germany
United Kingdom,43,GBR,United Kingdom
Greece,44,GRC,Greece
Ireland,45,IRL,Ireland
Italy,46,ITA,Italy
Luxembourg,47,LUX,Luxembourg
Netherlands,48,NLD,Netherlands
Portugal,49,PRT,Portugal
Spain,50,ESP,Spain
Sweden,51,SWE,Sweden
Switzerland,52,CHE,Switzerland
Iceland,53,XEF,Rest of European Free Trade Association
Liechtenstein,53,XEF,Rest of European Free Trade Association
Norway,53,XEF,Rest of European Free Trade Association
Andorra,54,XER,Rest of Europe
Bosnia & Herzegovina,54,XER,Rest of Europe
Faroe Islands,54,XER,Rest of Europe
Gibraltar,54,XER,Rest of Europe
North Macedonia,54,XER,Rest of Europe
Monaco,54,XER,Rest of Europe
San Marino,54,XER,Rest of Europe
Serbia,54,XER,Rest of Europe
Albania,55,ALB,Albania
Bulgaria,56,BGR,Bulgaria
Croatia,57,HRV,Croatia
Cyprus,58,CYP,Cyprus
Czechia,59,CZE,Czech Republic
Hungary,60,HUN,Hungary
Malta,61,MLT,Malta
Poland,62,POL,Poland
Romania,63,ROU,Romania
Slovakia,64,SVK,Slovakia
Slovenia,65,SVN,Slovenia
Estonia,66,EST,Estonia
Latvia,67,LVA,Latvia
Lithuania,68,LTU,Lithuania
Russia,69,RUS,Russian Federation
Armenia,70,XSU,Rest of Former Soviet Union
Azerbaijan,70,XSU,Rest of Former Soviet Union
Belarus,70,XSU,Rest of Former Soviet Union
Georgia,70,XSU,Rest of Former Soviet Union
Kazakhstan,70,XSU,Rest of Former Soviet Union
Kyrgyzstan,70,XSU,Rest of Former Soviet Union
Moldova,70,XSU,Rest of Former Soviet Union
Tajikistan,70,XSU,Rest of Former Soviet Union
Turkmenistan,70,XSU,Rest of Former Soviet Union
Ukraine,70,XSU,Rest of Former Soviet Union
Uzbekistan,70,XSU,Rest of Former Soviet Union
Turkey,71,TUR,Turkey
Bahrain,72,XME,Rest of Middle East
Iran,72,XME,Rest of Middle East
Iraq,72,XME,Rest of Middle East
Israel,72,XME,Rest of Middle East
Jordan,72,XME,Rest of Middle East
Kuwait,72,XME,Rest of Middle East
Lebanon,72,XME,Rest of Middle East
Oman,72,XME,Rest of Middle East
Palestinian Territories,72,XME,Rest of Middle East
Qatar,72,XME,Rest of Middle East
Saudi Arabia,72,XME,Rest of Middle East
Syria,72,XME,Rest of Middle East
United Arab Emirates,72,XME,Rest of Middle East
Yemen,72,XME,Rest of Middle East
Morocco,73,MAR,Morocco
Tunisia,74,TUN,Tunisia
Algeria,75,XNF,Rest of North Africa
Egypt,75,XNF,Rest of North Africa
Libya,75,XNF,Rest of North Africa
Botswana,76,BWA,Botswana
South Africa,77,ZAF,South Africa
Lesotho,78,XSC,Rest of South African Customs Union
Namibia,78,XSC,Rest of South African Customs Union
Eswatini,78,XSC,Rest of South African Customs Union
Malawi,79,MWI,Malawi
Mozambique,80,MOZ,Mozambique
Tanzania,81,TZA,"Tanzania, United Republic of"
Zambia,82,ZMB,Zambia
Zimbabwe,83,ZWE,Zimbabwe
Angola,84,XSD,Rest of Southern African Development Community
Congo - Kinshasa,84,XSD,Rest of Southern African Development Community
Mauritius,84,XSD,Rest of Southern African Development Community
Seychelles,84,XSD,Rest of Southern African Development Community
Madagascar,85,MDG,Madagascar
Uganda,86,UGA,Uganda
Benin,87,XSS,Rest of Sub-Saharan Africa
Burkina Faso,87,XSS,Rest of Sub-Saharan Africa
Burundi,87,XSS,Rest of Sub-Saharan Africa
Cameroon,87,XSS,Rest of Sub-Saharan Africa
Cape Verde,87,XSS,Rest of Sub-Saharan Africa
Central African Republic,87,XSS,Rest of Sub-Saharan Africa
Chad,87,XSS,Rest of Sub-Saharan Africa
Comoros,87,XSS,Rest of Sub-Saharan Africa
Congo - Brazzaville,87,XSS,Rest of Sub-Saharan Africa
Côte d’Ivoire,87,XSS,Rest of Sub-Saharan Africa
Djibouti,87,XSS,Rest of Sub-Saharan Africa
Equatorial Guinea,87,XSS,Rest of Sub-Saharan Africa
Eritrea,87,XSS,Rest of Sub-Saharan Africa
Ethiopia,87,XSS,Rest of Sub-Saharan Africa
Gabon,87,XSS,Rest of Sub-Saharan Africa
Gambia,87,XSS,Rest of Sub-Saharan Africa
Ghana,87,XSS,Rest of Sub-Saharan Africa
Guinea,87,XSS,Rest of Sub-Saharan Africa
Guinea-Bissau,87,XSS,Rest of Sub-Saharan Africa
Kenya,87,XSS,Rest of Sub-Saharan Africa
Liberia,87,XSS,Rest of Sub-Saharan Africa
Mali,87,XSS,Rest of Sub-Saharan Africa
Mauritania,87,XSS,Rest of Sub-Saharan Africa
Mayotte,87,XSS,Rest of Sub-Saharan Africa
Niger,87,XSS,Rest of Sub-Saharan Africa
Nigeria,87,XSS,Rest of Sub-Saharan Africa
Réunion,87,XSS,Rest of Sub-Saharan Africa
Rwanda,87,XSS,Rest of Sub-Saharan Africa
St. Helena,87,XSS,Rest of Sub-Saharan Africa
São Tomé & Príncipe,87,XSS,Rest of Sub-Saharan Africa
Senegal,87,XSS,Rest of Sub-Saharan Africa
Sierra Leone,87,XSS,Rest of Sub-Saharan Africa
Somalia,87,XSS,Rest of Sub-Saharan Africa
Sudan,87,XSS,Rest of Sub-Saharan Africa
Togo,87,XSS,Rest of Sub-Saharan Africa
================================================
FILE: data/custom_dictionaries/data_gtap7.csv
================================================
country,gtap_num,gtap_code,gtap_name
Australia,1,AUS,Australia
New Zealand,2,NZL,New Zealand
American Samoa,3,XOC,Rest of Oceania
Cook Islands,3,XOC,Rest of Oceania
Fiji,3,XOC,Rest of Oceania
French Polynesia,3,XOC,Rest of Oceania
Guam,3,XOC,Rest of Oceania
Kiribati,3,XOC,Rest of Oceania
Marshall Islands,3,XOC,Rest of Oceania
Micronesia (Federated States of),3,XOC,Rest of Oceania
Nauru,3,XOC,Rest of Oceania
New Caledonia,3,XOC,Rest of Oceania
Niue,3,XOC,Rest of Oceania
Norfolk Island,3,XOC,Rest of Oceania
Northern Mariana Islands,3,XOC,Rest of Oceania
Palau,3,XOC,Rest of Oceania
Papua New Guinea,3,XOC,Rest of Oceania
Samoa,3,XOC,Rest of Oceania
Solomon Islands,3,XOC,Rest of Oceania
Tokelau,3,XOC,Rest of Oceania
Tonga,3,XOC,Rest of Oceania
Tuvalu,3,XOC,Rest of Oceania
Vanuatu,3,XOC,Rest of Oceania
Wallis & Futuna,3,XOC,Rest of Oceania
China,4,CHN,China
Hong Kong SAR China,5,HKG,"Hong Kong, Special Administrative Region of China"
Japan,6,JPN,Japan
South Korea,7,KOR,"Korea, Republic of"
Taiwan,8,TWN,Taiwan
North Korea,9,XEA,Rest of East Asia
Macao SAR China,9,XEA,Rest of East Asia
Mongolia,9,XEA,Rest of East Asia
Cambodia,10,KHM,Cambodia
Indonesia,11,IDN,Indonesia
Laos,12,LAO,Lao PDR
Myanmar (Burma),13,MMR,Myanmar
Malaysia,14,MYS,Malaysia
Philippines,15,PHL,Philippines
Singapore,16,SGP,Singapore
Thailand,17,THA,Thailand
Vietnam,18,VNM,Viet Nam
Brunei,19,XSE,Rest of Southeast Asia
Timor-Leste,19,XSE,Rest of Southeast Asia
Bangladesh,20,BGD,Bangladesh
India,21,IND,India
Pakistan,22,PAK,Pakistan
Sri Lanka,23,LKA,Sri Lanka
Afghanistan,24,XSA,Rest of South Asia
Bhutan,24,XSA,Rest of South Asia
Maldives,24,XSA,Rest of South Asia
Nepal,24,XSA,Rest of South Asia
Canada,25,CAN,Canada
United States,26,USA,United States of America
Mexico,27,MEX,Mexico
Bermuda,28,XNA,Rest of North America
Greenland,28,XNA,Rest of North America
St. Pierre & Miquelon,28,XNA,Rest of North America
Argentina,29,ARG,Argentina
Bolivia,30,BOL,Bolivia
Brazil,31,BRA,Brazil
Chile,32,CHL,Chile
Colombia,33,COL,Colombia
Ecuador,34,ECU,Ecuador
Paraguay,35,PRY,Paraguay
Peru,36,PER,Peru
Uruguay,37,URY,Uruguay
Venezuela,38,VEN,Venezuela (Bolivarian Republic of)
Falkland Islands,39,XSM,Rest of South America
French Guiana,39,XSM,Rest of South America
Guyana,39,XSM,Rest of South America
Suriname,39,XSM,Rest of South America
Costa Rica,40,CRI,Costa Rica
Guatemala,41,GTM,Guatemala
Nicaragua,42,NIC,Nicaragua
Panama,43,PAN,Panama
Belize,44,XCA,Rest of Central America
El Salvador,44,XCA,Rest of Central America
Honduras,44,XCA,Rest of Central America
Anguilla,45,XCB,Rest of Caribbean
Antigua & Barbuda,45,XCB,Rest of Caribbean
Aruba,45,XCB,Rest of Caribbean
Bahamas,45,XCB,Rest of Caribbean
Barbados,45,XCB,Rest of Caribbean
British Virgin Islands,45,XCB,Rest of Caribbean
Cayman Islands,45,XCB,Rest of Caribbean
Cuba,45,XCB,Rest of Caribbean
Dominica,45,XCB,Rest of Caribbean
Dominican Republic,45,XCB,Rest of Caribbean
Grenada,45,XCB,Rest of Caribbean
Guadeloupe,45,XCB,Rest of Caribbean
Haiti,45,XCB,Rest of Caribbean
Jamaica,45,XCB,Rest of Caribbean
Martinique,45,XCB,Rest of Caribbean
Montserrat,45,XCB,Rest of Caribbean
Netherlands Antilles,45,XCB,Rest of Caribbean
Puerto Rico,45,XCB,Rest of Caribbean
St. Kitts & Nevis,45,XCB,Rest of Caribbean
St. Lucia,45,XCB,Rest of Caribbean
St. Vincent & Grenadines,45,XCB,Rest of Caribbean
Trinidad & Tobago,45,XCB,Rest of Caribbean
Turks & Caicos Islands,45,XCB,Rest of Caribbean
U.S. Virgin Islands,45,XCB,Rest of Caribbean
Austria,46,AUT,Austria
Belgium,47,BEL,Belgium
Cyprus,48,CYP,Cyprus
Czechia,49,CZE,Czech Republic
Denmark,50,DNK,Denmark
Estonia,51,EST,Estonia
Finland,52,FIN,Finland
France,53,FRA,France
Germany,54,DEU,Germany
Greece,55,GRC,Greece
Hungary,56,HUN,Hungary
Ireland,57,IRL,Ireland
Italy,58,ITA,Italy
Latvia,59,LVA,Latvia
Lithuania,60,LTU,Lithuania
Luxembourg,61,LUX,Luxembourg
Malta,62,MLT,Malta
Netherlands,63,NLD,Netherlands
Poland,64,POL,Poland
Portugal,65,PRT,Portugal
Slovakia,66,SVK,Slovakia
Slovenia,67,SVN,Slovenia
Spain,68,ESP,Spain
Sweden,69,SWE,Sweden
United Kingdom,70,GBR,United Kingdom
Switzerland,71,CHE,Switzerland
Norway,72,NOR,Norway
Iceland,73,XEF,Rest of European Free Trade Association
Liechtenstein,73,XEF,Rest of European Free Trade Association
Albania,74,ALB,Albania
Bulgaria,75,BGR,Bulgaria
Belarus,76,BLR,Belarus
Croatia,77,HRV,Croatia
Romania,78,ROU,Romania
Russia,79,RUS,Russian Federation
Ukraine,80,UKR,Ukraine
Moldova,81,XEE,Rest of Eastern Europe
Andorra,82,XER,Rest of Europe
Bosnia & Herzegovina,82,XER,Rest of Europe
Faroe Islands,82,XER,Rest of Europe
Gibraltar,82,XER,Rest of Europe
North Macedonia,82,XER,Rest of Europe
Monaco,82,XER,Rest of Europe
San Marino,82,XER,Rest of Europe
Serbia,82,XER,Rest of Europe
Kazakhstan,83,KAZ,Kazakhstan
Kyrgyzstan,84,KGZ,Kyrgyzstan
Tajikistan,85,XSU,Rest of Former Soviet Union
Turkmenistan,85,XSU,Rest of Former Soviet Union
Uzbekistan,85,XSU,Rest of Former Soviet Union
Armenia,86,ARM,Armenia
Azerbaijan,87,AZE,Azerbaijan
Georgia,88,GEO,Georgia
Iran,89,IRN,"Iran, Islamic Republic of"
Turkey,90,TUR,Turkey
Bahrain,91,XWS,Rest of Western Asia
Iraq,91,XWS,Rest of Western Asia
Israel,91,XWS,Rest of Western Asia
Jordan,91,XWS,Rest of Western Asia
Kuwait,91,XWS,Rest of Western Asia
Lebanon,91,XWS,Rest of Western Asia
Oman,91,XWS,Rest of Western Asia
Palestinian Territories,91,XWS,Rest of Western Asia
Qatar,91,XWS,Rest of Western Asia
Saudi Arabia,91,XWS,Rest of Western Asia
Syria,91,XWS,Rest of Western Asia
United Arab Emirates,91,XWS,Rest of Western Asia
Yemen,91,XWS,Rest of Western Asia
Egypt,92,EGY,Egypt
Morocco,93,MAR,Morocco
Tunisia,94,TUN,Tunisia
Algeria,95,XNF,Rest of North Africa
Libya,95,XNF,Rest of North Africa
Nigeria,96,NGA,Nigeria
Senegal,97,SEN,Senegal
Benin,98,XWF,Rest of Western Africa
Burkina Faso,98,XWF,Rest of Western Africa
Cape Verde,98,XWF,Rest of Western Africa
Côte d’Ivoire,98,XWF,Rest of Western Africa
Gambia,98,XWF,Rest of Western Africa
Ghana,98,XWF,Rest of Western Africa
Guinea,98,XWF,Rest of Western Africa
Guinea-Bissau,98,XWF,Rest of Western Africa
Liberia,98,XWF,Rest of Western Africa
Mali,98,XWF,Rest of Western Africa
Mauritania,98,XWF,Rest of Western Africa
Niger,98,XWF,Rest of Western Africa
St. Helena,98,XWF,Rest of Western Africa
Sierra Leone,98,XWF,Rest of Western Africa
Togo,98,XWF,Rest of Western Africa
Cameroon,99,XCF,Rest of Central Africa
Central African Republic,99,XCF,Rest of Central Africa
Chad,99,XCF,Rest of Central Africa
Congo - Brazzaville,99,XCF,Rest of Central Africa
Equatorial Guinea,99,XCF,Rest of Central Africa
Gabon,99,XCF,Rest of Central Africa
São Tomé & Príncipe,99,XCF,Rest of Central Africa
Angola,100,XAC,Rest of South Central Africa
Congo - Kinshasa,100,XAC,Rest of South Central Africa
Ethiopia,101,ETH,Ethiopia
Madagascar,102,MDG,Madagascar
Malawi,103,MWI,Malawi
Mauritius,104,MUS,Mauritius
Mozambique,105,MOZ,Mozambique
Tanzania,106,TZA,"Tanzania, United Republic of"
Uganda,107,UGA,Uganda
Zambia,108,ZMB,Zambia
Zimbabwe,109,ZWE,Zimbabwe
Burundi,110,XEC,Rest of Eastern Africa
Comoros,110,XEC,Rest of Eastern Africa
Djibouti,110,XEC,Rest of Eastern Africa
Eritrea,110,XEC,Rest of Eastern Africa
Kenya,110,XEC,Rest of Eastern Africa
Mayotte,110,XEC,Rest of Eastern Africa
Réunion,110,XEC,Rest of Eastern Africa
Rwanda,110,XEC,Rest of Eastern Africa
Seychelles,110,XEC,Rest of Eastern Africa
Somalia,110,XEC,Rest of Eastern Africa
Sudan,110,XEC,Rest of Eastern Africa
Botswana,111,BWA,Botswana
South Africa,112,ZAF,South Africa
Lesotho,113,XSC,Rest of South African Customs Union
Namibia,113,XSC,Rest of South African Customs Union
Eswatini,113,XSC,Rest of South African Customs Union
================================================
FILE: data/custom_dictionaries/data_gtap8.csv
================================================
country,gtap_num,gtap_code,gtap_name
Australia,1,AUS,Australia
Christmas Island,1,AUS,Australia
Cocos (Keeling) Islands,1,AUS,Australia
Heard & McDonald Islands,1,AUS,Australia
Norfolk Island,1,AUS,Australia
New Zealand,2,NZL,New Zealand
American Samoa,3,XOC,Rest of Oceania
Cook Islands,3,XOC,Rest of Oceania
Fiji,3,XOC,Rest of Oceania
French Polynesia,3,XOC,Rest of Oceania
Guam,3,XOC,Rest of Oceania
Kiribati,3,XOC,Rest of Oceania
Marshall Islands,3,XOC,Rest of Oceania
Micronesia (Federated States of),3,XOC,Rest of Oceania
Nauru,3,XOC,Rest of Oceania
New Caledonia,3,XOC,Rest of Oceania
Niue,3,XOC,Rest of Oceania
Northern Mariana Islands,3,XOC,Rest of Oceania
Palau,3,XOC,Rest of Oceania
Papua New Guinea,3,XOC,Rest of Oceania
Pitcairn Islands,3,XOC,Rest of Oceania
Samoa,3,XOC,Rest of Oceania
Solomon Islands,3,XOC,Rest of Oceania
Tokelau,3,XOC,Rest of Oceania
Tonga,3,XOC,Rest of Oceania
Tuvalu,3,XOC,Rest of Oceania
United States Minor Outlying Islands (the),3,XOC,Rest of Oceania
Vanuatu,3,XOC,Rest of Oceania
Wallis & Futuna,3,XOC,Rest of Oceania
China,4,CHN,China
Hong Kong SAR China,5,HKG,"Hong Kong, Special Administrative Region of China"
Japan,6,JPN,Japan
South Korea,7,KOR,"Korea, Republic of"
Mongolia,8,MNG,Mongolia
Taiwan,9,TWN,Taiwan
North Korea,10,XEA,Rest of East Asia
Macao SAR China,10,XEA,Rest of East Asia
Cambodia,11,KHM,Cambodia
Indonesia,12,IDN,Indonesia
Laos,13,LAO,Lao PDR
Malaysia,14,MYS,Malaysia
Philippines,15,PHL,Philippines
Singapore,16,SGP,Singapore
Thailand,17,THA,Thailand
Vietnam,18,VNM,Viet Nam
Brunei,19,XSE,Rest of Southeast Asia
Myanmar (Burma),19,XSE,Rest of Southeast Asia
Timor-Leste,19,XSE,Rest of Southeast Asia
Bangladesh,20,BGD,Bangladesh
India,21,IND,India
Nepal,22,NPL,Nepal
Pakistan,23,PAK,Pakistan
Sri Lanka,24,LKA,Sri Lanka
Afghanistan,25,XSA,Rest of South Asia
Bhutan,25,XSA,Rest of South Asia
Maldives,25,XSA,Rest of South Asia
Canada,26,CAN,Canada
United States,27,USA,United States of America
Mexico,28,MEX,Mexico
Bermuda,29,XNA,Rest of North America
Greenland,29,XNA,Rest of North America
St. Pierre & Miquelon,29,XNA,Rest of North America
Argentina,30,ARG,Argentina
Bolivia,31,BOL,Bolivia
Brazil,32,BRA,Brazil
Chile,33,CHL,Chile
Colombia,34,COL,Colombia
Ecuador,35,ECU,Ecuador
Paraguay,36,PRY,Paraguay
Peru,37,PER,Peru
Uruguay,38,URY,Uruguay
Venezuela,39,VEN,Venezuela (Bolivarian Republic of)
Falkland Islands,40,XSM,Rest of South America
French Guiana,40,XSM,Rest of South America
Guyana,40,XSM,Rest of South America
South Georgia & South Sandwich Islands,40,XSM,Rest of South America
Suriname,40,XSM,Rest of South America
Costa Rica,41,CRI,Costa Rica
Guatemala,42,GTM,Guatemala
Honduras,43,HND,Honduras
Nicaragua,44,NIC,Nicaragua
Panama,45,PAN,Panama
El Salvador,46,SLV,El Salvador
Belize,47,XCA,Rest of Central America
Anguilla,48,XCB,Rest of Caribbean
Antigua & Barbuda,48,XCB,Rest of Caribbean
Aruba,48,XCB,Rest of Caribbean
Bahamas,48,XCB,Rest of Caribbean
Barbados,48,XCB,Rest of Caribbean
British Virgin Islands,48,XCB,Rest of Caribbean
Cayman Islands,48,XCB,Rest of Caribbean
Cuba,48,XCB,Rest of Caribbean
Dominica,48,XCB,Rest of Caribbean
Dominican Republic,48,XCB,Rest of Caribbean
Grenada,48,XCB,Rest of Caribbean
Haiti,48,XCB,Rest of Caribbean
Jamaica,48,XCB,Rest of Caribbean
Montserrat,48,XCB,Rest of Caribbean
Netherlands Antilles,48,XCB,Rest of Caribbean
Puerto Rico,48,XCB,Rest of Caribbean
St. Kitts & Nevis,48,XCB,Rest of Caribbean
St. Lucia,48,XCB,Rest of Caribbean
St. Vincent & Grenadines,48,XCB,Rest of Caribbean
Trinidad & Tobago,48,XCB,Rest of Caribbean
Turks & Caicos Islands,48,XCB,Rest of Caribbean
U.S. Virgin Islands,48,XCB,Rest of Caribbean
Austria,49,AUT,Austria
Belgium,50,BEL,Belgium
Cyprus,51,CYP,Cyprus
Czechia,52,CZE,Czech Republic
Denmark,53,DNK,Denmark
Estonia,54,EST,Estonia
Finland,55,FIN,Finland
Åland Islands,55,FIN,Finland
France,56,FRA,France
Guadeloupe,56,FRA,France
Martinique,56,FRA,France
Réunion,56,FRA,France
Germany,57,DEU,Germany
Greece,58,GRC,Greece
Hungary,59,HUN,Hungary
Ireland,60,IRL,Ireland
Italy,61,ITA,Italy
Latvia,62,LVA,Latvia
Lithuania,63,LTU,Lithuania
Luxembourg,64,LUX,Luxembourg
Malta,65,MLT,Malta
Netherlands,66,NLD,Netherlands
Poland,67,POL,Poland
Portugal,68,PRT,Portugal
Slovakia,69,SVK,Slovakia
Slovenia,70,SVN,Slovenia
Spain,71,ESP,Spain
Sweden,72,SWE,Sweden
United Kingdom,73,GBR,United Kingdom
Switzerland,74,CHE,Switzerland
Norway,75,NOR,Norway
Svalbard & Jan Mayen,75,NOR,Norway
Iceland,76,XEF,Rest of European Free Trade Association
Liechtenstein,76,XEF,Rest of European Free Trade Association
Albania,77,ALB,Albania
Bulgaria,78,BGR,Bulgaria
Belarus,79,BLR,Belarus
Croatia,80,HRV,Croatia
Romania,81,ROU,Romania
Russia,82,RUS,Russian Federation
Ukraine,83,UKR,Ukraine
Moldova,84,XEE,Rest of Eastern Europe
Andorra,85,XER,Rest of Europe
Bosnia & Herzegovina,85,XER,Rest of Europe
Faroe Islands,85,XER,Rest of Europe
Gibraltar,85,XER,Rest of Europe
Guernsey,85,XER,Rest of Europe
Vatican City,85,XER,Rest of Europe
Isle of Man,85,XER,Rest of Europe
Jersey,85,XER,Rest of Europe
North Macedonia,85,XER,Rest of Europe
Monaco,85,XER,Rest of Europe
Montenegro,85,XER,Rest of Europe
San Marino,85,XER,Rest of Europe
Serbia,85,XER,Rest of Europe
Kazakhstan,86,KAZ,Kazakhstan
Kyrgyzstan,87,KGZ,Kyrgyzstan
Tajikistan,88,XSU,Rest of Former Soviet Union
Turkmenistan,88,XSU,Rest of Former Soviet Union
Uzbekistan,88,XSU,Rest of Former Soviet Union
Armenia,89,ARM,Armenia
Azerbaijan,90,AZE,Azerbaijan
Georgia,91,GEO,Georgia
Bahrain,92,BHR,Bahrain
Iran,93,IRN,"Iran, Islamic Republic of"
Israel,94,ISR,Israel
Kuwait,95,KWT,Kuwait
Oman,96,OMN,Oman
Qatar,97,QAT,Qatar
Saudi Arabia,98,SAU,Saudi Arabia
Turkey,99,TUR,Turkey
United Arab Emirates,100,ARE,United Arab Emirates
Iraq,101,XWS,Rest of Western Asia
Jordan,101,XWS,Rest of Western Asia
Lebanon,101,XWS,Rest of Western Asia
Palestinian Territories,101,XWS,Rest of Western Asia
Syria,101,XWS,Rest of Western Asia
Yemen,101,XWS,Rest of Western Asia
Egypt,102,EGY,Egypt
Morocco,103,MAR,Morocco
Tunisia,104,TUN,Tunisia
Algeria,105,XNF,Rest of North Africa
Libya,105,XNF,Rest of North Africa
Western Sahara,105,XNF,Rest of North Africa
Cameroon,106,CMR,Cameroon
Côte d’Ivoire,107,CIV,Côte d'Ivoire
Ghana,108,GHA,Ghana
Nigeria,109,NGA,Nigeria
Senegal,110,SEN,Senegal
Benin,111,XWF,Rest of Western Africa
Burkina Faso,111,XWF,Rest of Western Africa
Cape Verde,111,XWF,Rest of Western Africa
Gambia,111,XWF,Rest of Western Africa
Guinea,111,XWF,Rest of Western Africa
Guinea-Bissau,111,XWF,Rest of Western Africa
Liberia,111,XWF,Rest of Western Africa
Mali,111,XWF,Rest of Western Africa
Mauritania,111,XWF,Rest of Western Africa
Niger,111,XWF,Rest of Western Africa
St. Helena,111,XWF,Rest of Western Africa
Sierra Leone,111,XWF,Rest of Western Africa
Togo,111,XWF,Rest of Western Africa
Central African Republic,112,XCF,Rest of Central Africa
Chad,112,XCF,Rest of Central Africa
Congo - Brazzaville,112,XCF,Rest of Central Africa
Equatorial Guinea,112,XCF,Rest of Central Africa
Gabon,112,XCF,Rest of Central Africa
São Tomé & Príncipe,112,XCF,Rest of Central Africa
Angola,113,XAC,South Central Africa
Congo - Kinshasa,113,XAC,South Central Africa
Ethiopia,114,ETH,Ethiopia
Kenya,115,KEN,Kenya
Madagascar,116,MDG,Madagascar
Malawi,117,MWI,Malawi
Mauritius,118,MUS,Mauritius
Mozambique,119,MOZ,Mozambique
Tanzania,120,TZA,"Tanzania, United Republic of"
Uganda,121,UGA,Uganda
Zambia,122,ZMB,Zambia
Zimbabwe,123,ZWE,Zimbabwe
Burundi,124,XEC,Rest of Eastern Africa
Comoros,124,XEC,Rest of Eastern Africa
Djibouti,124,XEC,Rest of Eastern Africa
Eritrea,124,XEC,Rest of Eastern Africa
Mayotte,124,XEC,Rest of Eastern Africa
Rwanda,124,XEC,Rest of Eastern Africa
Seychelles,124,XEC,Rest of Eastern Africa
Somalia,124,XEC,Rest of Eastern Africa
Sudan,124,XEC,Rest of Eastern Africa
Botswana,125,BWA,Botswana
Namibia,126,NAM,Namibia
South Africa,127,ZAF,South Africa
Lesotho,128,XSC,Rest of South African Customs Union
Eswatini,128,XSC,Rest of South African Customs Union
Antarctica,129,XTW,Rest of the World
Bouvet Island,129,XTW,Rest of the World
British Indian Ocean Territory,129,XTW,Rest of the World
French Southern Territories,129,XTW,Rest of the World
================================================
FILE: data/custom_dictionaries/data_gtap9.csv
================================================
country,gtap_num,gtap_code,gtap_name
Australia,1,AUS,Australia
Christmas Island,1,AUS,Australia
Cocos (Keeling) Islands,1,AUS,Australia
Heard & McDonald Islands,1,AUS,Australia
Norfolk Island,1,AUS,Australia
New Zealand,2,NZL,New Zealand
American Samoa,3,XOC,Rest of Oceania
Cook Islands,3,XOC,Rest of Oceania
Fiji,3,XOC,Rest of Oceania
French Polynesia,3,XOC,Rest of Oceania
Guam,3,XOC,Rest of Oceania
Kiribati,3,XOC,Rest of Oceania
Marshall Islands,3,XOC,Rest of Oceania
Micronesia (Federated States of),3,XOC,Rest of Oceania
Nauru,3,XOC,Rest of Oceania
New Caledonia,3,XOC,Rest of Oceania
Niue,3,XOC,Rest of Oceania
Northern Mariana Islands,3,XOC,Rest of Oceania
Palau,3,XOC,Rest of Oceania
Papua New Guinea,3,XOC,Rest of Oceania
Pitcairn Islands,3,XOC,Rest of Oceania
Samoa,3,XOC,Rest of Oceania
Solomon Islands,3,XOC,Rest of Oceania
Tokelau,3,XOC,Rest of Oceania
Tonga,3,XOC,Rest of Oceania
Tuvalu,3,XOC,Rest of Oceania
United States Minor Outlying Islands (the),3,XOC,Rest of Oceania
Vanuatu,3,XOC,Rest of Oceania
Wallis & Futuna,3,XOC,Rest of Oceania
China,4,CHN,China
Hong Kong SAR China,5,HKG,"Hong Kong, Special Administrative Region of China"
Japan,6,JPN,Japan
South Korea,7,KOR,"Korea, Republic of"
Mongolia,8,MNG,Mongolia
Taiwan,9,TWN,Taiwan
North Korea,10,XEA,Rest of East Asia
Macao SAR China,10,XEA,Rest of East Asia
Brunei,11,BRN,Brunei Darussalam
Cambodia,12,KHM,Cambodia
Indonesia,13,IDN,Indonesia
Laos,14,LAO,Lao PDR
Malaysia,15,MYS,Malaysia
Philippines,16,PHL,Philippines
Singapore,17,SGP,Singapore
Thailand,18,THA,Thailand
Vietnam,19,VNM,Viet Nam
Myanmar (Burma),20,XSE,Rest of Southeast Asia
Timor-Leste,20,XSE,Rest of Southeast Asia
Bangladesh,21,BGD,Bangladesh
India,22,IND,India
Nepal,23,NPL,Nepal
Pakistan,24,PAK,Pakistan
Sri Lanka,25,LKA,Sri Lanka
Afghanistan,26,XSA,Rest of South Asia
Bhutan,26,XSA,Rest of South Asia
Maldives,26,XSA,Rest of South Asia
Canada,27,CAN,Canada
United States,28,USA,United States of America
Mexico,29,MEX,Mexico
Bermuda,30,XNA,Rest of North America
Greenland,30,XNA,Rest of North America
St. Pierre & Miquelon,30,XNA,Rest of North America
Argentina,31,ARG,Argentina
Bolivia,32,BOL,Bolivia
Brazil,33,BRA,Brazil
Chile,34,CHL,Chile
Colombia,35,COL,Colombia
Ecuador,36,ECU,Ecuador
Paraguay,37,PRY,Paraguay
Peru,38,PER,Peru
Uruguay,39,URY,Uruguay
Venezuela,40,VEN,Venezuela (Bolivarian Republic of)
Falkland Islands,41,XSM,Rest of South America
French Guiana,41,XSM,Rest of South America
Guyana,41,XSM,Rest of South America
South Georgia & South Sandwich Islands,41,XSM,Rest of South America
Suriname,41,XSM,Rest of South America
Costa Rica,42,CRI,Costa Rica
Guatemala,43,GTM,Guatemala
Honduras,44,HND,Honduras
Nicaragua,45,NIC,Nicaragua
Panama,46,PAN,Panama
El Salvador,47,SLV,El Salvador
Belize,48,XCA,Rest of Central America
Dominican Republic,49,DOM,Dominican Republic P
Jamaica,50,JAM,Jamaica
Puerto Rico,51,PRI,Puerto Rico
Trinidad & Tobago,52,TTO,Trinidad and Tobago P
Anguilla,53,XCB,Rest of Caribbean
Antigua & Barbuda,53,XCB,Rest of Caribbean
Aruba,53,XCB,Rest of Caribbean
Bahamas,53,XCB,Rest of Caribbean
Barbados,53,XCB,Rest of Caribbean
British Virgin Islands,53,XCB,Rest of Caribbean
Cayman Islands,53,XCB,Rest of Caribbean
Cuba,53,XCB,Rest of Caribbean
Dominica,53,XCB,Rest of Caribbean
Grenada,53,XCB,Rest of Caribbean
Haiti,53,XCB,Rest of Caribbean
Montserrat,53,XCB,Rest of Caribbean
Netherlands Antilles,53,XCB,Rest of Caribbean
St. Kitts & Nevis,53,XCB,Rest of Caribbean
St. Lucia,53,XCB,Rest of Caribbean
St. Vincent & Grenadines,53,XCB,Rest of Caribbean
Turks & Caicos Islands,53,XCB,Rest of Caribbean
U.S. Virgin Islands,53,XCB,Rest of Caribbean
Austria,54,AUT,Austria
Belgium,55,BEL,Belgium
Cyprus,56,CYP,Cyprus
Czechia,57,CZE,Czech Republic
Denmark,58,DNK,Denmark
Estonia,59,EST,Estonia
Finland,60,FIN,Finland
Åland Islands,60,FIN,Finland
France,61,FRA,France
Guadeloupe,61,FRA,France
Martinique,61,FRA,France
Réunion,61,FRA,France
Germany,62,DEU,Germany
Greece,63,GRC,Greece
Hungary,64,HUN,Hungary
Ireland,65,IRL,Ireland
Italy,66,ITA,Italy
Latvia,67,LVA,Latvia
Lithuania,68,LTU,Lithuania
Luxembourg,69,LUX,Luxembourg
Malta,70,MLT,Malta
Netherlands,71,NLD,Netherlands
Poland,72,POL,Poland
Portugal,73,PRT,Portugal
Slovakia,74,SVK,Slovakia
Slovenia,75,SVN,Slovenia
Spain,76,ESP,Spain
Sweden,77,SWE,Sweden
United Kingdom,78,GBR,United Kingdom
Switzerland,79,CHE,Switzerland
Norway,80,NOR,Norway
Svalbard & Jan Mayen,80,NOR,Norway
Iceland,81,XEF,Rest of European Free Trade Association
Liechtenstein,81,XEF,Rest of European Free Trade Association
Albania,82,ALB,Albania
Bulgaria,83,BGR,Bulgaria
Belarus,84,BLR,Belarus
Croatia,85,HRV,Croatia
Romania,86,ROU,Romania
Russia,87,RUS,Russian Federation
Ukraine,88,UKR,Ukraine
Moldova,89,XEE,Rest of Eastern Europe
Andorra,90,XER,Rest of Europe
Bosnia & Herzegovina,90,XER,Rest of Europe
Faroe Islands,90,XER,Rest of Europe
Gibraltar,90,XER,Rest of Europe
Guernsey,90,XER,Rest of Europe
Vatican City,90,XER,Rest of Europe
Isle of Man,90,XER,Rest of Europe
Jersey,90,XER,Rest of Europe
North Macedonia,90,XER,Rest of Europe
Monaco,90,XER,Rest of Europe
Montenegro,90,XER,Rest of Europe
San Marino,90,XER,Rest of Europe
Serbia,90,XER,Rest of Europe
Kazakhstan,91,KAZ,Kazakhstan
Kyrgyzstan,92,KGZ,Kyrgyzstan
Tajikistan,93,XSU,Rest of Former Soviet Union
Turkmenistan,93,XSU,Rest of Former Soviet Union
Uzbekistan,93,XSU,Rest of Former Soviet Union
Armenia,94,ARM,Armenia
Azerbaijan,95,AZE,Azerbaijan
Georgia,96,GEO,Georgia
Bahrain,97,BHR,Bahrain
Iran,98,IRN,"Iran, Islamic Republic of"
Israel,99,ISR,Israel
Jordan,100,JOR,Jordan
Kuwait,101,KWT,Kuwait
Oman,102,OMN,Oman
Qatar,103,QAT,Qatar
Saudi Arabia,104,SAU,Saudi Arabia
Turkey,105,TUR,Turkey
United Arab Emirates,106,ARE,United Arab Emirates
Iraq,107,XWS,Rest of Western Asia
Lebanon,107,XWS,Rest of Western Asia
Palestinian Territories,107,XWS,Rest of Western Asia
Syria,107,XWS,Rest of Western Asia
Yemen,107,XWS,Rest of Western Asia
Egypt,108,EGY,Egypt
Morocco,109,MAR,Morocco
Tunisia,110,TUN,Tunisia
Algeria,111,XNF,Rest of North Africa
Libya,111,XNF,Rest of North Africa
Western Sahara,111,XNF,Rest of North Africa
Benin,112,BEN,Benin
Burkina Faso,113,BFA,Burkina Faso
Cameroon,114,CMR,Cameroon
Côte d’Ivoire,115,CIV,Côte d'Ivoire
Ghana,116,GHA,Ghana
Guinea,117,GIN,Guinea
Nigeria,118,NGA,Nigeria
Senegal,119,SEN,Senegal
Togo,120,TGO,Togo
Cape Verde,121,XWF,Rest of Western Africa
Gambia,121,XWF,Rest of Western Africa
Guinea-Bissau,121,XWF,Rest of Western Africa
Liberia,121,XWF,Rest of Western Africa
Mali,121,XWF,Rest of Western Africa
Mauritania,121,XWF,Rest of Western Africa
Niger,121,XWF,Rest of Western Africa
St. Helena,121,XWF,Rest of Western Africa
Sierra Leone,121,XWF,Rest of Western Africa
Central African Republic,122,XCF,Rest of Central Africa
Chad,122,XCF,Rest of Central Africa
Congo - Brazzaville,122,XCF,Rest of Central Africa
Equatorial Guinea,122,XCF,Rest of Central Africa
Gabon,122,XCF,Rest of Central Africa
São Tomé & Príncipe,122,XCF,Rest of Central Africa
Angola,123,XAC,South Central Africa
Congo - Kinshasa,123,XAC,South Central Africa
Ethiopia,124,ETH,Ethiopia
Kenya,125,KEN,Kenya
Madagascar,126,MDG,Madagascar
Malawi,127,MWI,Malawi
Mauritius,128,MUS,Mauritius
Mozambique,129,MOZ,Mozambique
Rwanda,130,RWA,Rwanda
Tanzania,131,TZA,"Tanzania, United Republic of"
Uganda,132,UGA,Uganda
Zambia,133,ZMB,Zambia
Zimbabwe,134,ZWE,Zimbabwe
Burundi,135,XEC,Rest of Eastern Africa
Comoros,135,XEC,Rest of Eastern Africa
Djibouti,135,XEC,Rest of Eastern Africa
Eritrea,135,XEC,Rest of Eastern Africa
Mayotte,135,XEC,Rest of Eastern Africa
Seychelles,135,XEC,Rest of Eastern Africa
Somalia,135,XEC,Rest of Eastern Africa
Sudan,135,XEC,Rest of Eastern Africa
Botswana,136,BWA,Botswana
Namibia,137,NAM,Namibia
South Africa,138,ZAF,South Africa
Lesotho,139,XSC,Rest of South African Customs Union
Eswatini,139,XSC,Rest of South African Customs Union
Antarctica,140,XTW,Rest of the World
Bouvet Island,140,XTW,Rest of the World
British Indian Ocean Territory,140,XTW,Rest of the World
French Southern Territories,140,XTW,Rest of the World
================================================
FILE: data/custom_dictionaries/data_us_states.csv
================================================
"state","abbreviation","state.regex"
"Alabama","AL",".*alabama.*"
"Alaska","AK",".*alaska.*"
"Arizona","AZ",".*arizona.*"
"Arkansas","AR",".*arkansas.*"
"California","CA",".*california.*"
"Colorado","CO",".*colorado.*"
"Connecticut","CT",".*connecticut.*"
"Delaware","DE",".*delaware.*"
"Florida","FL",".*florida.*"
"Georgia","GA",".*georgia.*"
"Hawaii","HI",".*hawaii.*"
"Idaho","ID",".*idaho.*"
"Illinois","IL",".*illinois.*"
"Indiana","IN",".*indiana.*"
"Iowa","IA",".*iowa.*"
"Kansas","KS","^(?!.*ar).*kansas.*"
"Kentucky","KY",".*kentucky.*"
"Louisiana","LA",".*louisiana.*"
"Maine","ME",".*maine.*"
"Maryland","MD",".*maryland.*"
"Massachusetts","MA",".*massachusetts.*"
"Michigan","MI",".*michigan.*"
"Minnesota","MN",".*minnesota.*"
"Mississippi","MS",".*mississippi.*"
"Missouri","MO",".*missouri.*"
"Montana","MT",".*montana.*"
"Nebraska","NE",".*nebraska.*"
"Nevada","NV",".*nevada.*"
"New Hampshire","NH",".*new.*hampshire.*"
"New Jersey","NJ",".*new.*jersey.*"
"New Mexico","NM",".*new.*mexico.*"
"New York","NY",".*new.*york.*"
"North Carolina","NC",".*north.*carolina.*"
"North Dakota","ND",".*north.*dakota.*"
"Ohio","OH",".*ohio.*"
"Oklahoma","OK",".*oklahoma.*"
"Oregon","OR",".*oregon.*"
"Pennsylvania","PA",".*pennsylvania.*"
"Rhode Island","RI",".*rhode.*island.*"
"South Carolina","SC",".*south.*carolina.*"
"South Dakota","SD",".*south.*dakota.*"
"Tennessee","TN",".*tennessee.*"
"Texas","TX",".*texas.*"
"Utah","UT",".*utah.*"
"Vermont","VT",".*vermont.*"
"Virginia","VA","^(?!.*west).*virginia.*"
"Washington","WA",".*washington.*"
"West Virginia","WV",".*west.*virginia.*"
"Wisconsin","WI",".*wisconsin.*"
"Wyoming","WY",".*wyoming.*"
================================================
FILE: data/custom_dictionaries/get_ch_cantons.R
================================================
source(here::here("dictionary/utilities.R"))
tmp <- read.csv(here("data/custom_dictionaries/data_ch_cantons.csv")) |>
unique() |>
rename(canton.abb = abbreviation)
attr(tmp, "origin_regex") <- "canton.name.regex"
attr(tmp, "valid_origin") <- colnames(tmp)
saveRDS(tmp, here("data/custom_dictionaries/data_ch_cantons.rds"))
================================================
FILE: data/custom_dictionaries/get_exiobase3.R
================================================
source(here::here("dictionary/utilities.R"))
# This file cannot run automatically because the original files cannot be
# downloaded by R.
# To run this file, remove the comments and download the file
# CountryMappingDESIRE.xlsx from https://ntnu.app.box.com/v/EXIOBASEconcordances
## source(here::here("dictionary/utilities.R"))
## data <-
## here("dictionary", "CountryMappingDESIRE.xlsx") %>%
## read_excel(sheet = "CountryList")
## exiobase <-
## data %>%
## mutate(
## Name = case_match(
## Name,
## "Heard and mc donald islands" ~ "Heard and mcdonald islands",
## .default = Name
## ),
## country = countrycode(.data$Name,
## origin = "country.name",
## destination = "country.name",
## warn = FALSE)
## )
## # Check missing countries
## exiobase %>%
## filter(is.na(country)) %>%
## select(Name)
## exiobase <-
## exiobase %>%
## filter(!is.na(country)) %>%
## select(
## country,
## exiobase_code = `DESIRE code`,
## exiobase_num = `DESIRE Number`
## )
## write_csv(
## exiobase,
## here("dictionary", "data_exiobase3.csv"),
## na = ""
## )
tmp <- read.csv(here("data/custom_dictionaries/data_exiobase3.csv")) |>
unique() |>
transform(country.name.en.regex = countrycode(country, "country.name", "country.name.en.regex")) |>
select(country.name = country,
country.name.en.regex,
exiobase.num = exiobase_num,
exiobase.cha = exiobase_code)
attr(tmp, "origin_regex") <- "country.name.en.regex"
attr(tmp, "valid_origin") <- "country.name.en.regex"
saveRDS(tmp, here("data/custom_dictionaries/data_exiobase3.rds"))
================================================
FILE: data/custom_dictionaries/get_global_burden_of_disease.R
================================================
source(here("dictionary/utilities.R"))
tmp <- read.csv(here("data/custom_dictionaries/data_global_burden_of_disease.csv")) |>
unique() |>
transform(country.name.en.regex = countrycode(country.name, "country.name", "country.name.en.regex")) |>
select(country.name,
country.name.en.regex,
gbd.region = gbd_region,
gbd.superregion = gbd_superregion)
attr(tmp, "origin_regex") <- "country.name.en.regex"
attr(tmp, "valid_origin") <- "country.name.en.regex"
saveRDS(tmp, here("data/custom_dictionaries/data_global_burden_of_disease.rds"))
================================================
FILE: data/custom_dictionaries/get_gtap.R
================================================
source(here::here("dictionary/utilities.R"))
gtap_versions <- 6:11
## #' Scrap country mapping for GTAP
## #' @param gtap_main integer indicating main GTAP version
## #' @param gtap_final integer with values 1 for pre-release and 2 (default) for
## #' final release
## #' @param gtap_minor integer indicating GTAP minor version (default to 1)
## #' @param gtap_rc integer indicating GTAP release candidate (default to 1)
## #' @return a data.frame with the mapping
## get_gtap_mapping <- function(gtap_main, gtap_final = 2, gtap_minor = 1,
## gtap_rc = 1) {
## gtap_version <- str_glue("{gtap_main}.{gtap_final}{gtap_minor}{gtap_rc}")
## url <-
## urltools::param_set(
## "https://www.gtap.agecon.purdue.edu/databases/regions.aspx",
## "version", gtap_version
## )
## gtap <-
## read_html(x = url) |>
## html_element(css = "table#Regions") |>
## html_table() |>
## separate_rows(
## Description,
## sep = " - "
## ) |>
## rename(
## gtap_num = Number,
## gtap_code = Code,
## country = Description
## ) |>
## mutate(gtap_name = country[1], .by = gtap_num) |>
## distinct() |>
## filter(!(substr(gtap_code, start = 1, stop = 1) == "X" &
## country == gtap_name)) |>
## mutate(
## country = countrycode(country,
## origin = "country.name",
## destination = "country.name",
## warn = FALSE),
## .keep = "unused"
## ) |>
## select(country, gtap_num, gtap_code, gtap_name)
## return(gtap)
## }
## gtap_versions |>
## walk(\(version)
## get_gtap_mapping(version) |>
## write_csv(
## here(str_glue("data/custom_dictionaries/data_gtap{version}.csv"))
## )
## )
# Convert to RDS dictionary with attributes
gtap_versions |>
walk(function(version) {
tmp <-
read.csv(
here(str_glue("data/custom_dictionaries/data_gtap{version}.csv"))
) |>
unique() |>
transform(
country.name.en.regex = countrycode(
country,
"country.name",
"country.name.en.regex"
)) |>
select(country.name = country,
country.name.en.regex,
gtap.name = gtap_name,
gtap.num = gtap_num,
gtap.cha = gtap_code)
attr(tmp, "origin_regex") <- "country.name.en.regex"
attr(tmp, "valid_origin") <- "country.name.en.regex"
saveRDS(tmp,
here(str_glue("data/custom_dictionaries/data_gtap{version}.rds")))
})
================================================
FILE: data/custom_dictionaries/get_us_states.R
================================================
source(here("dictionary/utilities.R"))
tmp <- read.csv(here("data/custom_dictionaries/data_us_states.csv")) |>
unique() |>
select(state.name = state,
state.abb = abbreviation,
state.regex = state.regex)
attr(tmp, "origin_regex") <- "state.regex"
attr(tmp, "valid_origin") <- c("state.name", "state.abb", "state.regex")
saveRDS(tmp, here("data/custom_dictionaries/data_us_states.rds"))
================================================
FILE: data/extra/countryhood.csv
================================================
iso3c,country,start_year,year_end,start_event,source
ALA,Aland Islands,1920,,petition de la population locale,https://en.wikipedia.org/wiki/%C3%85land_Islands
ASM,American Samoa,1899,,"Accord entre grande puissance (USA, Allemagne et Nouvelle-Zélande)",https://fr.wikipedia.org/wiki/Samoa_am%C3%A9ricaines
AIA,Anguilla,1982,,,https://fr.wikipedia.org/wiki/Anguilla#L.27autonomie
ATA,Antarctica,1959,,Gel des revendications de souverainetés nationales en 1959,https://fr.wikipedia.org/wiki/Antarctique#Politique
ABW,Aruba,1986,,Accord de séparation des Antilles néerlandaises et non du Pays-Bas,https://fr.wikipedia.org/wiki/Aruba#Histoire
BMU,Bermuda,1968,,"colonisation anglaise officialisée en 1684. L'archipel est devenu britannique en 1707 avec la création de la Grande-Bretagne, British Overseas Territory depuis 1968 (Though Bermuda has been classified as a self-governed colony since 1620, internal self-government was bolstered by the establishment of a formal constitution in 1968, and the introduction of universal adult suffrage)",https://en.wikipedia.org/wiki/History_of_Bermuda#Recent_history
BES,"Bonaire, Sint Eustatius and Saba",2010,,Nouveau statut des Antilles néerlandaises,https://fr.wikipedia.org/wiki/Pays-Bas_carib%C3%A9ens
BVT,Bouvet Island,1927,,"Île non-habité, possession norvégienne par explorateurs, alpiniste et station météo",https://fr.wikipedia.org/wiki/%C3%8Ele_Bouvet
IOT,British Indian Ocean Territory,1965,,Rattache les territoires qui jusqu'à l'indépendance de Maurice lui étais attaché,https://fr.wikipedia.org/wiki/Territoire_britannique_de_l%27oc%C3%A9an_Indien
CYM,Cayman Islands,1962,,Devient colonie de la Couronne séparée de la Jamaique,https://fr.wikipedia.org/wiki/%C3%8Eles_Ca%C3%AFmans
CXR,Christmas Island,1958,,Devient australien après l'occupation Japonnaise,https://fr.wikipedia.org/wiki/%C3%8Ele_Christmas_(Australie)
CCK,Cocos (Keeling) Islands,1984,,Sous le controle australien depuis 1955,https://fr.wikipedia.org/wiki/%C3%8Eles_Cocos
COK,Cook Islands,1965,,Indépendandance de la Nouvelle-Zélande,https://fr.wikipedia.org/wiki/%C3%8Eles_Cook
CUW,Curacao,2010,,État autonome au sein du Royaume des Pays-Bas depuis la dissolution de la fédération des Antilles néerlandaises,https://fr.wikipedia.org/wiki/Cura%C3%A7ao
FLK,Falkland Islands (Malvinas),2002,,"Britannique depuis 1770, territoire britannique d'outre-mer depuis 2002",https://en.wikipedia.org/wiki/Falkland_Islands#History
FRO,Faroe Islands,1948,,,https://en.wikipedia.org/wiki/Faroe_Islands#History
GUF,French Guiana,1946,,Passe du statut de colonie à celui de département d'outre mer,https://fr.wikipedia.org/wiki/Guyane#Histoire
PYF,French Polynesia,1946,,Passe du statut de colonie à celui de département d'outre mer,https://fr.wikipedia.org/wiki/Polyn%C3%A9sie_fran%C3%A7aise#XXe_et_XXIe.C2.A0si.C3.A8cles
ATF,French Southern Territories,1955,,Incorporation entre 1924 et 2007 de nouvelles îles à l'ensembles,https://fr.wikipedia.org/wiki/Terres_australes_et_antarctiques_fran%C3%A7aises
GIB,Gibraltar,1969,,"Possession du Royaume-Uni depuis 1704
gitextract_dg_woieq/
├── .Rbuildignore
├── .github/
│ ├── .gitignore
│ └── workflows/
│ ├── altdoc.yaml
│ ├── lint.yaml
│ ├── r-check.yaml
│ └── revdep.yaml
├── .gitignore
├── .here
├── .scrutin/
│ └── config.toml
├── DESCRIPTION
├── LICENSE
├── Makefile
├── NAMESPACE
├── NEWS.md
├── R/
│ ├── cldr_examples.R
│ ├── codelist.R
│ ├── codelist_panel.R
│ ├── countrycode-package.R
│ ├── countrycode.R
│ ├── countryname.R
│ ├── countryname_dict.R
│ ├── get_dictionary.R
│ └── guess_field.R
├── README.Rmd
├── README.md
├── _pkgdown.yml
├── altdoc/
│ ├── .nojekyll
│ ├── docsify.html
│ ├── docsify.md
│ ├── preamble_man_qmd.yml
│ ├── preamble_vignettes_qmd.yml
│ └── preamble_vignettes_rmd.yml
├── appveyor.yml
├── countrycode.Rproj
├── cran-comments.md
├── data/
│ ├── cldr_examples.rda
│ ├── codelist.rda
│ ├── codelist_panel.rda
│ ├── countryname_dict.rda
│ ├── custom_dictionaries/
│ │ ├── data_ch_cantons.csv
│ │ ├── data_ch_cantons.rds
│ │ ├── data_exiobase3.csv
│ │ ├── data_exiobase3.rds
│ │ ├── data_global_burden_of_disease.csv
│ │ ├── data_global_burden_of_disease.rds
│ │ ├── data_gtap10.csv
│ │ ├── data_gtap10.rds
│ │ ├── data_gtap11.csv
│ │ ├── data_gtap11.rds
│ │ ├── data_gtap6.csv
│ │ ├── data_gtap6.rds
│ │ ├── data_gtap7.csv
│ │ ├── data_gtap7.rds
│ │ ├── data_gtap8.csv
│ │ ├── data_gtap8.rds
│ │ ├── data_gtap9.csv
│ │ ├── data_gtap9.rds
│ │ ├── data_us_states.csv
│ │ ├── data_us_states.rds
│ │ ├── get_ch_cantons.R
│ │ ├── get_exiobase3.R
│ │ ├── get_global_burden_of_disease.R
│ │ ├── get_gtap.R
│ │ └── get_us_states.R
│ └── extra/
│ └── countryhood.csv
├── dictionary/
│ ├── Dockerfile
│ ├── build.R
│ ├── codelist_panel_without_cldr.csv
│ ├── codelist_without_cldr.csv
│ ├── data_aviation.csv
│ ├── data_backup.rds
│ ├── data_cctld.csv
│ ├── data_cldr.csv
│ ├── data_cow.csv
│ ├── data_dhs.csv
│ ├── data_ecb.csv
│ ├── data_eurostat.csv
│ ├── data_fao.csv
│ ├── data_fips.csv
│ ├── data_fips.xls
│ ├── data_genc.csv
│ ├── data_gw.csv
│ ├── data_icao.csv
│ ├── data_imf.csv
│ ├── data_ioc.csv
│ ├── data_iso.csv
│ ├── data_iso4217.csv
│ ├── data_polity4.csv
│ ├── data_polity5.csv
│ ├── data_raw/
│ │ ├── data_small_countries.csv
│ │ ├── data_telephone.csv
│ │ └── data_vdem_v15_march2025.rds
│ ├── data_regex.csv
│ ├── data_regions.csv
│ ├── data_small_countries.csv
│ ├── data_telephone.csv
│ ├── data_un.csv
│ ├── data_un_names.csv
│ ├── data_unhcr.csv
│ ├── data_unicode_symbol.csv
│ ├── data_unpd.csv
│ ├── data_vdem.csv
│ ├── data_world_bank.csv
│ ├── data_world_bank_api.csv
│ ├── data_world_bank_region.csv
│ ├── data_wvs.csv
│ ├── get_cctld.R
│ ├── get_cldr.R
│ ├── get_countryname_dict.R
│ ├── get_cow.R
│ ├── get_dhs.R
│ ├── get_ecb.R
│ ├── get_eurostat.R
│ ├── get_fao.R
│ ├── get_fips.R
│ ├── get_genc.R
│ ├── get_gw.R
│ ├── get_ioc.R
│ ├── get_iso.R
│ ├── get_iso4217.R
│ ├── get_polity4.R
│ ├── get_polity5.R
│ ├── get_small_countries.R
│ ├── get_telephone.R
│ ├── get_un.R
│ ├── get_un_names.R
│ ├── get_unhcr.R
│ ├── get_unicode_symbol.R
│ ├── get_vdem.R
│ ├── get_world_bank.R
│ ├── get_world_bank_api.R
│ ├── get_world_bank_region.R
│ ├── get_wvs.R
│ └── utilities.R
├── inst/
│ └── CITATION
├── joss/
│ ├── paper.bib
│ └── paper.md
├── man/
│ ├── cldr_examples.Rd
│ ├── codelist.Rd
│ ├── codelist_panel.Rd
│ ├── countrycode.Rd
│ ├── countryname.Rd
│ ├── countryname_dict.Rd
│ ├── get_dictionary.Rd
│ └── guess_field.Rd
├── tests/
│ ├── test-all.R
│ └── testthat/
│ ├── data-known-name-variations.R
│ ├── test-basic.R
│ ├── test-codelist.R
│ ├── test-corner-cases.R
│ ├── test-countryname.R
│ ├── test-custom-dictionary.R
│ ├── test-destination-only.R
│ ├── test-destination.R
│ ├── test-dictionary_attributes.R
│ ├── test-known-name-variations.R
│ ├── test-nomatch.R
│ ├── test-regex-external.R
│ ├── test-regex-internal.R
│ ├── test-regex-sentence.R
│ ├── test-regex-special.R
│ └── test-unicode-symbols.R
└── vignettes/
├── contributions.qmd
├── countrycode.qmd
├── countryname.qmd
└── custom.qmd
Condensed preview — 166 files, each showing path, character count, and a content snippet. Download the .json file or copy for the full structured content (5,605K chars).
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"chars": 7,
"preview": "*.html\n"
},
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"path": ".github/workflows/altdoc.yaml",
"chars": 1522,
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"chars": 767,
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"chars": 832,
"preview": "on:\n push:\n branches: [main, master]\n pull_request:\n\nname: scrutin\n\npermissions: read-all\n\njobs:\n check:\n runs-"
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"chars": 7640,
"preview": "# This workflow creates many jobs, run only when a branch is created\non:\n push:\n branches:\n - \"revdep*\" # never"
},
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"path": ".gitignore",
"chars": 191,
"preview": ".Rproj.user\n.Rhistory\n.RData\n.Ruserdata\n*.DS_Store\nREADME.html\naltdoc/freeze.rds\n_quarto/\n!_quarto/_freeze/\ndocs/\n\n# scr"
},
{
"path": ".here",
"chars": 0,
"preview": ""
},
{
"path": ".scrutin/config.toml",
"chars": 18443,
"preview": "# scrutin configuration\n#\n# scrutin is configured via .scrutin/config.toml in the project root. Fallback:\n# ~/.config/sc"
},
{
"path": "DESCRIPTION",
"chars": 1588,
"preview": "Type: Package\nPackage: countrycode\nTitle: Convert Country Names and Country Codes\nVersion: 1.8.0\nAuthors@R: \n c(perso"
},
{
"path": "LICENSE",
"chars": 35147,
"preview": " GNU GENERAL PUBLIC LICENSE\n Version 3, 29 June 2007\n\n Copyright (C) 2007 Free "
},
{
"path": "Makefile",
"chars": 800,
"preview": ".PHONY: help website dictionary\n\nhelp: ## Display this help screen\n\t@echo -e \"\\033[1mAvailable commands:\\033[0m\\n\"\n\t@gr"
},
{
"path": "NAMESPACE",
"chars": 129,
"preview": "# Generated by roxygen2: do not edit by hand\n\nexport(countrycode)\nexport(countryname)\nexport(get_dictionary)\nexport(gues"
},
{
"path": "NEWS.md",
"chars": 8543,
"preview": "# News\n\n## 1.8.0\n\n* New Spanish regular expressions and names: `country.name.es`, `cldr.name.es` and `country.name.es`. "
},
{
"path": "R/cldr_examples.R",
"chars": 291,
"preview": "#' List of CLDR country name codes and associated examples\n#'\n#' \\itemize{\n#' \\item Code: CLDR code\n#' \\item Example"
},
{
"path": "R/codelist.R",
"chars": 4925,
"preview": "#' Country Code Translation Data Frame (Cross-Sectional)\n#'\n#' A data frame used internally by the [countrycode()] funct"
},
{
"path": "R/codelist_panel.R",
"chars": 262,
"preview": "#' Country Code Translation Data Frame (Country-Year Panel)\n#'\n#' A panel of country-year observations with various code"
},
{
"path": "R/countrycode-package.R",
"chars": 868,
"preview": "#' Convert country codes or country names\n#'\n#' The \\code{countrycode} function can convert to and from several differen"
},
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"path": "R/countrycode.R",
"chars": 17924,
"preview": "#' Convert Country Codes\n#'\n#' Converts long country names into one of many different coding schemes.\n#' Translates from"
},
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"path": "R/countryname.R",
"chars": 2548,
"preview": "#' Convert country names in any language to another name or code\n#'\n#' Converts long country names in any language to on"
},
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"path": "R/countryname_dict.R",
"chars": 207,
"preview": "#' A dataframe of alternative country names in many languages. Used internally by\n#' the `countryname` function.\n#'\n#' @"
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"path": "R/get_dictionary.R",
"chars": 1593,
"preview": "#' Get Custom Dictionaries\n#' \n#' Download a custom dictionary to use in the `custom_dict` argument of `countrycode()`\n#"
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"chars": 268,
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"path": "data/custom_dictionaries/get_ch_cantons.R",
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"preview": "source(here::here(\"dictionary/utilities.R\"))\n\ntmp <- read.csv(here(\"data/custom_dictionaries/data_ch_cantons.csv\")) |>\n "
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"path": "data/custom_dictionaries/get_exiobase3.R",
"chars": 1720,
"preview": "source(here::here(\"dictionary/utilities.R\"))\n\n# This file cannot run automatically because the original files cannot be\n"
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"preview": "source(here(\"dictionary/utilities.R\"))\n\ntmp <- read.csv(here(\"data/custom_dictionaries/data_global_burden_of_disease.csv"
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"path": "data/custom_dictionaries/get_gtap.R",
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},
{
"path": "data/custom_dictionaries/get_us_states.R",
"chars": 417,
"preview": "source(here(\"dictionary/utilities.R\"))\n\ntmp <- read.csv(here(\"data/custom_dictionaries/data_us_states.csv\")) |>\n uniq"
},
{
"path": "data/extra/countryhood.csv",
"chars": 11350,
"preview": "iso3c,country,start_year,year_end,start_event,source\nALA,Aland Islands,1920,,petition de la population locale,https://en"
},
{
"path": "dictionary/Dockerfile",
"chars": 604,
"preview": "# sudo docker build -t countryyear -f code/Dockerfile .\n# docker run -ti --rm -v \"$PWD\":/home/docker -w /home/docker -u "
},
{
"path": "dictionary/build.R",
"chars": 5474,
"preview": "setwd(here::here())\nsource('dictionary/utilities.R')\n\n\n##################\n# availability #\n##################\n\nscraper"
},
{
"path": "dictionary/codelist_without_cldr.csv",
"chars": 140004,
"preview": "ar5,cctld,continent,country.name.de,country.name.de.regex,country.name.en,country.name.en.regex,country.name.es,country."
},
{
"path": "dictionary/data_aviation.csv",
"chars": 10597,
"preview": "country,ar5,eurocontrol_statfor,eurocontrol_pru\nAfghanistan,ASIA,Asia/Pacific,Asia\nÅland Islands,OECD1990,ECAC North-Eas"
},
{
"path": "dictionary/data_cctld.csv",
"chars": 3757,
"preview": "country,cctld\nAndorra,.ad\nUnited Arab Emirates,.ae\nAfghanistan,.af\nAntigua & Barbuda,.ag\nAnguilla,.ai\nAlbania,.al\nArmeni"
},
{
"path": "dictionary/data_cldr.csv",
"chars": 1415836,
"preview": "cldr.name.af,cldr.name.agq,cldr.name.ak,cldr.name.am,cldr.name.ar,cldr.name.ar_ly,cldr.name.ar_sa,cldr.name.as,cldr.name"
},
{
"path": "dictionary/data_cow.csv",
"chars": 506970,
"preview": "country,cowc,cown,cow.name,year\nUnited States of America,USA,2,United States of America,1816\nUnited States of America,US"
},
{
"path": "dictionary/data_dhs.csv",
"chars": 1177,
"preview": "country,dhs\nAfghanistan,AF\nAlbania,AL\nAngola,AO\nArmenia,AM\nAzerbaijan,AZ\nBangladesh,BD\nBenin,BJ\nBolivia,BO\nBotswana,BT\nB"
},
{
"path": "dictionary/data_ecb.csv",
"chars": 3866,
"preview": "country,ecb\nAndorra,AD\nUnited Arab Emirates,AE\nAfghanistan,AF\nAntigua and Barbuda,AG\nAnguilla,AI\nAlbania,AL\nArmenia,AM\nN"
},
{
"path": "dictionary/data_eurostat.csv",
"chars": 3547,
"preview": "eurostat,country\nAD,Andorra\nAE,United Arab Emirates\nAF,Afghanistan\nAG,Antigua and Barbuda\nAI,Anguilla\nAL,Albania\nAM,Arme"
},
{
"path": "dictionary/data_fao.csv",
"chars": 5007,
"preview": "country,fao,gaul\nBelarus,57,26\nCambodia,115,44\nAlgeria,4,4\nCameroon,32,45\nCanada,33,46\nCabo Verde,35,47\nIran (Islamic Re"
},
{
"path": "dictionary/data_fips.csv",
"chars": 3436,
"preview": "fips,country\nAF,AFGHANISTAN\nAL,ALBANIA\nAG,ALGERIA\nAQ,AMERICAN SAMOA\nAN,ANDORRA\nAO,ANGOLA\nAV,ANGUILLA\nAY,ANTARCTICA\nAC,AN"
},
{
"path": "dictionary/data_genc.csv",
"chars": 5441,
"preview": "country,genc2c,genc3c,genc3n\nAFGHANISTAN,AF,AFG,004\nALBANIA,AL,ALB,008\nALGERIA,DZ,DZA,012\nAMERICAN SAMOA,AS,ASM,016\nANDO"
},
{
"path": "dictionary/data_gw.csv",
"chars": 408596,
"preview": "gwn,gwc,country,year\n2,USA,United States of America,1816\n2,USA,United States of America,1817\n2,USA,United States of Amer"
},
{
"path": "dictionary/data_icao.csv",
"chars": 3330,
"preview": "icao.region,country\nAFI,Angola\nAFI,Benin\nAFI,Botswana\nAFI,Burkina Faso\nAFI,Burundi\nAFI,Cameroon\nAFI,Cape Verde\nAFI,Centr"
},
{
"path": "dictionary/data_imf.csv",
"chars": 3419,
"preview": "country,imf\nAfghanistan,512\nAlbania,914\nAlgeria,612\nAmerican Samoa,859\nAngola,614\nAnguilla,312\nAntigua and Barbuda,311\nA"
},
{
"path": "dictionary/data_ioc.csv",
"chars": 3075,
"preview": "country,ioc\nAfghanistan,AFG\nAlbania,ALB\nAlgeria,ALG\nAmerican Samoa,ASA\nAndorra,AND\nAngola,ANG\nAntigua and Barbuda,ANT\nAr"
},
{
"path": "dictionary/data_iso.csv",
"chars": 13340,
"preview": "iso.name.en,iso.name.fr,iso2c,iso3c,iso3n,country\nAfghanistan,Afghanistan (l'),AF,AFG,4,Afghanistan\nAlbania,Albanie (l')"
},
{
"path": "dictionary/data_iso4217.csv",
"chars": 7613,
"preview": "country,currency,iso4217c,iso4217n\nAfghanistan,Afghani,AFN,971\nÅland Islands,Euro,EUR,978\nAlbania,Lek,ALL,8\nAlgeria,Alge"
},
{
"path": "dictionary/data_polity4.csv",
"chars": 521347,
"preview": "p4n,p4c,p4.name,year,country\n700,AFG,Afghanistan,1800,Afghanistan\n700,AFG,Afghanistan,1801,Afghanistan\n700,AFG,Afghanist"
},
{
"path": "dictionary/data_polity5.csv",
"chars": 381804,
"preview": "p5n,p5c,country,year\n700,AFG,Afghanistan,1800\n700,AFG,Afghanistan,1801\n700,AFG,Afghanistan,1802\n700,AFG,Afghanistan,1803"
},
{
"path": "dictionary/data_raw/data_small_countries.csv",
"chars": 11438,
"preview": "iso3c,country,start,end,event,source\nABW,Aruba,1986,,Accord de séparation des Antilles néerlandaises et non du Pays-Bas,"
},
{
"path": "dictionary/data_raw/data_telephone.csv",
"chars": 5889,
"preview": "country.name,telephone\nAmerican Samoa,1\nAnguilla,1\nAntigua and Barbuda,1\nBahamas (Commonwealth of the),1\nBarbados,1\nBerm"
},
{
"path": "dictionary/data_regex.csv",
"chars": 45576,
"preview": "country.name.de,country.name.de.regex,country.name.en,country.name.en.regex,country.name.fr,country.name.fr.regex,countr"
},
{
"path": "dictionary/data_regions.csv",
"chars": 9010,
"preview": "country,continent,eu28,region23\nAfghanistan,Asia,\"\",Southern Asia\nÅland Islands,Europe,\"\",Northern Europe\nAlbania,Europe"
},
{
"path": "dictionary/data_small_countries.csv",
"chars": 74536,
"preview": "country,year\nAruba,1986\nAruba,1987\nAruba,1988\nAruba,1989\nAruba,1990\nAruba,1991\nAruba,1992\nAruba,1993\nAruba,1994\nAruba,19"
},
{
"path": "dictionary/data_telephone.csv",
"chars": 5728,
"preview": "country,telephone\nAfghanistan,93\nAlbania (Republic of),355\nAlgeria (People's Democratic Republic of),213\nAmerican Samoa,"
},
{
"path": "dictionary/data_un.csv",
"chars": 14442,
"preview": "country,un,un.region.name,un.region.code,un.regionsub.name,un.regionsub.code,un.regionintermediate.name,un.regioninterme"
},
{
"path": "dictionary/data_un_names.csv",
"chars": 13811,
"preview": "un.name.en,un.name.fr,un.name.es,un.name.ru,un.name.zh,un.name.ar,country\nAfghanistan,Afghanistan,Afganistán,Афганистан,"
},
{
"path": "dictionary/data_unhcr.csv",
"chars": 7379,
"preview": "country,unhcr,unhcr.region\nAfghanistan,AFG,Asia and the Pacific\nAlbania,ALB,Europe\nAlgeria,ALG,Middle East and North Afr"
},
{
"path": "dictionary/data_unicode_symbol.csv",
"chars": 4008,
"preview": "unicode.symbol,country\n🇦🇫,Afghanistan\n🇦🇱,Albania\n🇩🇿,Algeria\n🇦🇸,American Samoa\n🇦🇩,Andorra\n🇦🇴,Angola\n🇦🇮,Anguilla\n🇦🇶,Antarc"
},
{
"path": "dictionary/data_unpd.csv",
"chars": 3507,
"preview": "country,unpd\nAfghanistan,4\nAlbania,8\nAlgeria,12\nAmerican Samoa,16\nAndorra,20\nAngola,24\nAnguilla,660\nAntigua and Barbuda,"
},
{
"path": "dictionary/data_vdem.csv",
"chars": 761190,
"preview": "country,vdem.name,vdem,year\nAfghanistan,Afghanistan,36,1789\nAfghanistan,Afghanistan,36,1790\nAfghanistan,Afghanistan,36,1"
},
{
"path": "dictionary/data_world_bank.csv",
"chars": 3240,
"preview": "country,wb\nAfghanistan,AFG\nAlbania,ALB\nAlgeria,DZA\nAmerican Samoa,ASM\nAndorra,AND\nAngola,AGO\nAntigua and Barbuda,ATG\nArg"
},
{
"path": "dictionary/data_world_bank_api.csv",
"chars": 3898,
"preview": "country,wb_api2c,wb_api3c\nAruba,AW,ABW\nAfghanistan,AF,AFG\nAngola,AO,AGO\nAlbania,AL,ALB\nAndorra,AD,AND\nUnited Arab Emirat"
},
{
"path": "dictionary/data_world_bank_region.csv",
"chars": 9223,
"preview": "country,region\nAndorra,Europe & Central Asia\nUnited Arab Emirates,Middle East & North Africa\nAfghanistan,South Asia\nAnti"
},
{
"path": "dictionary/data_wvs.csv",
"chars": 2280,
"preview": "wvs,country\n4,Afghanistan\n8,Albania\n12,Algeria\n16,American Samoa\n20,Andorra\n24,Angola\n28,Antigua\n31,Azerbaijan\n32,Argent"
},
{
"path": "dictionary/get_cctld.R",
"chars": 1760,
"preview": "library(xml2)\nlibrary(rvest)\nlibrary(purrr)\nlibrary(dplyr)\nlibrary(countrycode)\nlibrary(readr)\n\nurl <- 'https://www.iana"
},
{
"path": "dictionary/get_cldr.R",
"chars": 3306,
"preview": "source(here::here('dictionary/utilities.R'))\n\n# This script will get the most recently released version of the CLDR full"
},
{
"path": "dictionary/get_countryname_dict.R",
"chars": 2240,
"preview": "source(here::here('dictionary/utilities.R'))\n\nclean_string <- function(x) {\n out <- x %>%\n str_remove_all(\""
},
{
"path": "dictionary/get_cow.R",
"chars": 883,
"preview": "source(here::here('dictionary/utilities.R'))\n\nget_file <- function(web) {\n tmp <- tempfile()\n download.file(web, t"
},
{
"path": "dictionary/get_dhs.R",
"chars": 334,
"preview": "source(here::here('dictionary/utilities.R'))\n\nurl <- 'https://api.dhsprogram.com/rest/dhs/countries?select=DHS_CountryCo"
},
{
"path": "dictionary/get_ecb.R",
"chars": 945,
"preview": "source(here::here('dictionary/utilities.R'))\n\nbad <- c(\"Gaza and Jericho\") # Collides with State of Palestine\n\nurl <- 'h"
},
{
"path": "dictionary/get_eurostat.R",
"chars": 1577,
"preview": "source(here::here('dictionary/utilities.R'))\n\ntmp = tempfile()\nurl = 'https://ec.europa.eu/eurostat/api/dissemination/sd"
},
{
"path": "dictionary/get_fao.R",
"chars": 1860,
"preview": "source(here::here(\"dictionary/utilities.R\"))\n\nurl <- 'http://www.fao.org/fileadmin/user_upload/countryprofiles/Excel/All"
},
{
"path": "dictionary/get_fips.R",
"chars": 1036,
"preview": "source(here::here('dictionary/utilities.R'))\n\nurl <- 'https://web.archive.org/web/20161214044235/http://geonames.nga.mil"
},
{
"path": "dictionary/get_genc.R",
"chars": 1764,
"preview": "source(here::here(\"dictionary/utilities.R\"))\n\n# Check https://geonames.nga.mil/gns/html/countrycodes.html quarterly for "
},
{
"path": "dictionary/get_gw.R",
"chars": 1448,
"preview": "source(here::here('dictionary/utilities.R'))\n\nurl <- \"http://ksgleditsch.com/data/iisystem.dat\"\n\ngw <- readr::read_tsv(u"
},
{
"path": "dictionary/get_ioc.R",
"chars": 906,
"preview": "source(here::here('dictionary/utilities.R'))\n\nurl = 'https://stillmed.olympics.com/media/Document%20Library/OlympicOrg/D"
},
{
"path": "dictionary/get_iso.R",
"chars": 1054,
"preview": "###################################\n# this function no longer works #\n# but code may be reusable #\n############"
},
{
"path": "dictionary/get_iso4217.R",
"chars": 1731,
"preview": "source(here::here('dictionary/utilities.R'))\n\nurl <- 'https://www.six-group.com/dam/download/financial-information/data-"
},
{
"path": "dictionary/get_polity4.R",
"chars": 1113,
"preview": "source(here::here('dictionary/utilities.R'))\n\nurl <- 'http://www.systemicpeace.org/inscr/p4v2015.xls'\n\ndownload.file(url"
},
{
"path": "dictionary/get_polity5.R",
"chars": 1071,
"preview": "source(here::here('dictionary/utilities.R'))\n\nurl <- 'http://www.systemicpeace.org/inscr/p5v2018.xls'\n\ndownload.file(url"
},
{
"path": "dictionary/get_small_countries.R",
"chars": 629,
"preview": "source(here::here('dictionary/utilities.R'))\n\n# small countries not covered by V-Dem, CoW, or Polity\n# manually collecte"
},
{
"path": "dictionary/get_telephone.R",
"chars": 1328,
"preview": "source(here::here('dictionary/utilities.R'))\n\n# ITU-T E.164 country codes for telecommunication\n# Source: https://www.it"
},
{
"path": "dictionary/get_un.R",
"chars": 754,
"preview": "source(here::here('dictionary/utilities.R'))\n\nurl <- 'https://unstats.un.org/unsd/methodology/m49/overview/'\nselector <-"
},
{
"path": "dictionary/get_un_names.R",
"chars": 10192,
"preview": "# This script will scrape the UN website for official country names in the six\n# official languages of the United Nation"
},
{
"path": "dictionary/get_unhcr.R",
"chars": 1235,
"preview": "library(tidyverse)\n\nunhcr_by_region <-\n jsonlite::fromJSON(\"https://api.unhcr.org/population/v1/regions\")$items |>\n tr"
},
{
"path": "dictionary/get_unicode_symbol.R",
"chars": 4154,
"preview": "require(dplyr)\nrequire(tibble)\nrequire(purrr)\nrequire(stringr)\nrequire(httr)\nrequire(xml2)\nrequire(assertthat)\n\n# This s"
},
{
"path": "dictionary/get_vdem.R",
"chars": 1018,
"preview": "source(here::here('dictionary/utilities.R'))\n\n# readRDS(\"~/countrycode/dictionary/data_raw/V-Dem-CY-Core-v15.rds\") %>%\n#"
},
{
"path": "dictionary/get_world_bank.R",
"chars": 1805,
"preview": "source(here::here('dictionary/utilities.R'))\n\nurl <- 'https://databankfiles.worldbank.org/public/ddpext_download/site-co"
},
{
"path": "dictionary/get_world_bank_api.R",
"chars": 432,
"preview": "source(here::here('dictionary/utilities.R'))\n\ntmp <- tempfile(fileext = '.json')\nurl <- 'http://api.worldbank.org/V2/en/"
},
{
"path": "dictionary/get_world_bank_region.R",
"chars": 5769,
"preview": "source(here::here('dictionary/utilities.R'))\n\nautomatic <- WDI(country = \"all\", start = 2016, end = 2016, extra = TRUE) "
},
{
"path": "dictionary/get_wvs.R",
"chars": 1511,
"preview": "source(here::here('dictionary/utilities.R'))\n\nsink('/dev/null') # hack to suppress irritating/uninformative messages\nhtt"
},
{
"path": "dictionary/utilities.R",
"chars": 2631,
"preview": "###########\n# setup #\n###########\npkgs <- c(\n \"here\",\n \"conflicted\",\n \"janitor\",\n \"readxl\",\n \"utf8\",\n \"xml2\",\n "
},
{
"path": "inst/CITATION",
"chars": 965,
"preview": "citHeader(\"To cite countrycode in publications use:\")\n\nbibentry(bibtype = \"Article\",\n title = \"countrycode: An R"
},
{
"path": "joss/paper.bib",
"chars": 1134,
"preview": "@Manual{Coe2018,\ntitle = {datamaps: Create Interactive Web Maps with the 'JavaScript Datamaps' Library},\nauthor = {John "
},
{
"path": "joss/paper.md",
"chars": 2916,
"preview": "---\ntitle: 'countrycode: An R package to convert country names and country codes'\ntags:\n - R\n - CRAN\n - social scienc"
},
{
"path": "man/cldr_examples.Rd",
"chars": 397,
"preview": "% Generated by roxygen2: do not edit by hand\n% Please edit documentation in R/cldr_examples.R\n\\docType{data}\n\\name{cldr_"
},
{
"path": "man/codelist.Rd",
"chars": 5434,
"preview": "% Generated by roxygen2: do not edit by hand\n% Please edit documentation in R/codelist.R\n\\docType{data}\n\\name{codelist}\n"
},
{
"path": "man/codelist_panel.Rd",
"chars": 380,
"preview": "% Generated by roxygen2: do not edit by hand\n% Please edit documentation in R/codelist_panel.R\n\\docType{data}\n\\name{code"
},
{
"path": "man/countrycode.Rd",
"chars": 4855,
"preview": "% Generated by roxygen2: do not edit by hand\n% Please edit documentation in R/countrycode.R\n\\name{countrycode}\n\\alias{co"
},
{
"path": "man/countryname.Rd",
"chars": 1935,
"preview": "% Generated by roxygen2: do not edit by hand\n% Please edit documentation in R/countryname.R\n\\name{countryname}\n\\alias{co"
},
{
"path": "man/countryname_dict.Rd",
"chars": 449,
"preview": "% Generated by roxygen2: do not edit by hand\n% Please edit documentation in R/countryname_dict.R\n\\docType{data}\n\\name{co"
},
{
"path": "man/get_dictionary.Rd",
"chars": 972,
"preview": "% Generated by roxygen2: do not edit by hand\n% Please edit documentation in R/get_dictionary.R\n\\name{get_dictionary}\n\\al"
},
{
"path": "man/guess_field.Rd",
"chars": 902,
"preview": "% Generated by roxygen2: do not edit by hand\n% Please edit documentation in R/guess_field.R\n\\name{guess_field}\n\\alias{gu"
},
{
"path": "tests/test-all.R",
"chars": 142,
"preview": "## Test `countrycode` using the `testthat` package\n\n## Setup\nlibrary(testthat)\n\n## Runs the tests in tests/testthat\ntest"
},
{
"path": "tests/testthat/data-known-name-variations.R",
"chars": 3785,
"preview": "variations <- list(\n\n\n #\"Åland Islands\" = c(\n #\"Aland Islands\",\n #\"aland islands\",\n #\"Åland Islands\",\n #\"ål"
},
{
"path": "tests/testthat/test-basic.R",
"chars": 1594,
"preview": "context('Basic conversions')\n\ntest_that('valid iso3c to country.name works', {\n name_of <- function(iso3c_code) count"
},
{
"path": "tests/testthat/test-codelist.R",
"chars": 3919,
"preview": "\ncs <- countrycode::codelist\npan <- countrycode::codelist_panel\n\ndest <- c('year', 'ar5', 'continent', 'currency', 'eu28"
},
{
"path": "tests/testthat/test-corner-cases.R",
"chars": 7156,
"preview": "context('Corner cases')\n\n\ntest_that(\"Issue #258\", {\n expect_equal(\n codelist_panel[codelist_panel$country.name"
},
{
"path": "tests/testthat/test-countryname.R",
"chars": 2392,
"preview": "context('countryname function')\n\ntest_that('reported bugs', {\n expect_identical(countryname(\"Federated States of Micron"
},
{
"path": "tests/testthat/test-custom-dictionary.R",
"chars": 1505,
"preview": "context('Usage of a custom dictionary')\n\ntest_that('custom dictionary without regex', {\n test_func <- function(iso3c_"
},
{
"path": "tests/testthat/test-destination-only.R",
"chars": 545,
"preview": "context('Destination-only codes')\n\ntest_that('Destination-only codes raise errors when used as origin', {\n f <- funct"
},
{
"path": "tests/testthat/test-destination.R",
"chars": 312,
"preview": "test_that(\"vector of destination codes\", {\n expect_equal(countrycode(\"Serbia\", \"country.name\", \"iso3c\"), \"SRB\")\n e"
},
{
"path": "tests/testthat/test-dictionary_attributes.R",
"chars": 1320,
"preview": "question <- c(\"Aroba\", \"Canuda\")\nanswer <- c(\"Aruba\", \"Canada\")\n\ntest_that(\"no attributes\", {\n\n dict <- data.frame(\n "
},
{
"path": "tests/testthat/test-known-name-variations.R",
"chars": 518,
"preview": "context('Known country name variations')\n\nlibrary(utf8)\n\nsource('data-known-name-variations.R')\n\ntest_that('correct matc"
},
{
"path": "tests/testthat/test-nomatch.R",
"chars": 2263,
"preview": "context('nomatch argument to fill-in non-matching code')\n\norigin <- c('ALG', 'AUH', 'BAD')\ntest_that('nomatch argument w"
},
{
"path": "tests/testthat/test-regex-external.R",
"chars": 12278,
"preview": "context('External validity of regex')\n\niso3c_of <- function(name) countrycode(name, 'country.name', 'iso3c', warn = TRUE"
},
{
"path": "tests/testthat/test-regex-internal.R",
"chars": 1589,
"preview": "context('Internal validity of regex')\n\niso3c_of <- function(name) countrycode(name, 'country.name', 'iso3c')\n\ntest_that("
},
{
"path": "tests/testthat/test-regex-sentence.R",
"chars": 1424,
"preview": "#context('Use of regexes in sentences')\n\n#f = function(k) gsub('COUNTRY', k, 'The governement of COUNTRY was reelected.'"
},
{
"path": "tests/testthat/test-regex-special.R",
"chars": 13077,
"preview": "context('Special cases of regex')\n\niso3c_of <- function(name) countrycode(name, 'country.name', 'iso3c', warn = TRUE)\nno"
},
{
"path": "tests/testthat/test-unicode-symbols.R",
"chars": 709,
"preview": "context('Emoji flags')\n\ntest_that('converting to and from emoji works', {\n expect_equal(countrycode('Antarctica','cou"
},
{
"path": "vignettes/contributions.qmd",
"chars": 3158,
"preview": "# Contributions\n\n## Adding a new code\n\nNew country codes are created by two files:\n\n1. `dictionary/get_*.R` is an `R` sc"
},
{
"path": "vignettes/countrycode.qmd",
"chars": 8492,
"preview": "# Country codes\n\n## Convert a single name or code\n\nLoad library:\n\n```{r}\nlibrary(countrycode)\n```\n\nConvert single countr"
},
{
"path": "vignettes/countryname.qmd",
"chars": 313,
"preview": "# Country names\n\nThe function `countryname` tries to convert country names from any language. For example:\n\n```{r}\nlibra"
},
{
"path": "vignettes/custom.qmd",
"chars": 1838,
"preview": "# Custom conversion functions\n\nIt is easy to to create alternative functions with different default arguments and/or dic"
}
]
// ... and 18 more files (download for full content)
About this extraction
This page contains the full source code of the vincentarelbundock/countrycode GitHub repository, extracted and formatted as plain text for AI agents and large language models (LLMs). The extraction includes 166 files (15.3 MB), approximately 1.2M tokens. Use this with OpenClaw, Claude, ChatGPT, Cursor, Windsurf, or any other AI tool that accepts text input. You can copy the full output to your clipboard or download it as a .txt file.
Extracted by GitExtract — free GitHub repo to text converter for AI. Built by Nikandr Surkov.