R Observatory: Metrics for BrazilDataAPI version 0.3.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

BrazilDataAPI

0.3.0Package record

Access Brazilian Data via APIs and Curated Datasets

1packages depend

5.6Kdownloads / year

81.5%test coverage

13/13flavors OK

Overview

About

Maintained by Renzo Caceres RossiCRAN page ↗GitHub ↗Website ↗Issues ↗

Provides functions to access data from the 'BrasilAPI', 'Nager.Date API', and 'World Bank API', related to Brazil's postal codes, banks, holidays, company registrations, and economic development data. Additionally, the package includes curated datasets related to Brazil, covering topics such as demographic data (males and females by state and year), river levels, environmental emission factors, film festivals, and yellow fever outbreak records. The package supports research and analysis focused on Brazil by integrating open APIs with high-quality datasets from multiple domains. For more information on the APIs, see: 'BrasilAPI' https://brasilapi.com.br/, 'Nager.Date' https://date.nager.at/Api, 'World Bank API' https://datahelpdesk.worldbank.org/knowledgebase/articles/889392.

Changes in 0.3.0

Breaking Changes

get_country_info_br() was removed from the package. The 'REST Countries API' v3.1 endpoint it depended on was deprecated by its provider. The replacement v5 endpoint now requires an API key, which is incompatible with CRAN's policy on packages using Internet resources (they must work without user-provided credentials). As a consequence, the 'REST Countries API' is no longer used by BrazilDataAPI.
get_brazil_vehicle_brands() was removed from the package due to persistent server errors (HTTP status 500) returned by its underlying data source, which prevented the function from reliably retrieving data and caused it to fail CRAN's requirement that functions using Internet resources fail gracefully rather than error out.

---

From NEWS.md in the release

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("BrazilDataAPI", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("lightbluetitan/brazildataapi")

Development version from lightbluetitan/brazildataapi. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-brazildataapi

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-BrazilDataAPI

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-BrazilDataAPI

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 1.8 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-07-09
ERROR12 OK, 1 ERROR2026-06-12
OK13 OK2026-06-07

Show 4 earlier changesHide 4 earlier changes

ERROR12 OK, 1 ERROR2026-05-31
OK13 OK2026-05-05
ERROR12 OK, 1 ERROR2026-04-30
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.3.0

READMEYes · 484 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 0.3.0Citation fileYes · software entry onlyWebsiteYes · pkgdown

Help pages: 24includes a package overview page
Examples that run: 59%10 run in a plain check (9 of them under a condition) · 1 only when donttest examples are enabled (R CMD check --as-cran) · 6 never run
Exported functions with examples: 74%
Documented parameters: 45%
Return-value docs: 74%
Help pages citing references: 0%

Vignettes (1)

BrazilDataAPI: Access Brazilian Data via APIs and Curated Datasets HTML

How these are measured

Downloads

5.6K

CRAN downloads in the past year

Rank #9,434 · ~15/day · ~466/mo

Releases R versions

Daily download trend is not available in this view yet.

37730 days

1K90 days

5.6K1 year

Compare downloads with other packages →

Also on75 r2u40 autocran

How downloads are counted

Repository

lightbluetitan/brazildataapi ↗Account: lightbluetitan

3Stars

0Forks

1Open issues

0Open PRs

0Releases

6Commits

1Commit identities

6 commits · Last activity 2026-07-02 · 0% stars, 30d

Responsiveness

not measured

Stars over time

2026-01-04 · 12026-07-07 · 3

How these are measured

PracticesBeta

3 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/lightbluetitan/brazildataapi on 2026-10-21.

Docs source (2)

pkgdown

GitHub Pages site last deployed 2026-07-02

pkgdown site last built 2026-07-02

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies

9 external dependencies (excludes base and recommended)

Installing BrazilDataAPI adds 27 packages (16 with compiled code, 11 MB of source tarballs). Heaviest: farver 1.2 MB, viridisLite 1.2 MB, openssl 1.1 MB.

Depends (1)

R >= 4.1.0

Imports (6)

utilshttr jsonlite dplyr scales tibble

LinkingTo (0)

none

Suggests (4)

ggplot2 testthat knitr rmarkdown

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

1direct

0indirect

Depends 1

Depends, Imports or LinkingTo, most downloaded first

Latamverse

How these are counted

Code & Tests

Datasets

People & History

People (1)

Renzo Caceres Rossi

Author, Maintainer since 0.1.0 (2025)

Releases (3)

Pick two releases to compare their code metrics.

0.3.0Latest
record
2026-07-02 · current release · diff ↗ ·
removed 2 exports
get_brazil_vehicle_brands, get_country_info_br
R
R 4.6.0 released · 2026-04-24
0.2.0
record
2025-09-15 · diff ↗ ·
removed 1 export
get_country_info

added 11 exports
get_brazil_child_mortality, get_brazil_cpi, get_brazil_energy_use, get_brazil_gdp, get_brazil_holidays, get_brazil_hospital_beds, get_brazil_life_expectancy, get_brazil_literacy_rate, get_brazil_population, get_brazil_unemployment, get_country_info_br
0.1.0
record
2025-07-09
R
R 4.5.0 released · 2025-04-11

Package metadata

First published: 2025-07-09
Total releases: 3 / 1 yrs
License: GPL-3 OSI
Minimum R: ≥ 4.1.0
Bundled data: 20 KB / 6 files
Download size: 164 KB

Cite

Cite this package

Run in R for the authors' entry:

citation("BrazilDataAPI")

The package provides a citation file, so citation() returns the authors' own entry.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for BrazilDataAPI version 0.3.0 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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