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The BrazilDataAPI
package provides a unified interface
to access open data from the BrasilAPI, REST
Countries API, Nager.Date API, and
World Bank API, with a focus on Brazil. It
allows users to easily retrieve up-to-date information on postal codes,
banks, economic indicators, holidays, company registrations,
international country-level data, public holidays information, and
economic development data relevant to Brazil.
In addition to API-access functions, the package includes a collection of curated datasets related to Brazil, covering diverse domains such as demographics (male and female population by state and year), river levels in Manaus, environmental emission factors in São Paulo, Brazilian film festivals, and historical yellow fever outbreaks.
You can install the BrazilDataAPI
package from CRAN with
the following R function:
install.packages("BrazilDataAPI")
After installation, load the package and start exploring and using its functions and datasets.
library(BrazilDataAPI)
get_brazil_banks()
: Get List of Banks in
Brazil
get_brazil_cep()
: Get Address Information by
Brazilian CEP (Postal Code) Example:
get_brazil_cep(“89010025”)
get_brazil_cnpj()
: Get Company Information by CNPJ
(Brazil) Example: get_brazil_cnpj(“19131243000197”)
get_brazil_municipalities()
: Get Municipalities of a
Brazilian State from IBGE Example:
get_brazil_municipalities(“SP”)
get_brazil_rate_name()
: Get Specific Brazilian
Economic Rate by Name Example:
get_brazil_rate_name(“CDI”)
get_brazil_rates()
: Get Official Interest Rates and
Indexes from Brazil
get_brazil_vehicle_brands()
: Get Vehicle Brands from
BrasilAPI (FIPE Data) Example:
get_brazil_vehicle_brands(“motos”),get_brazil_vehicle_brands(“caminhoes”)
get_country_info_br()
: Get key country information
for Brazil.
get_brazil_child_mortality()
: Get Brazil’s Under-5
Mortality Rate data from the World Bank.
get_brazil_cpi()
: Get Brazil’s Consumer Price Index
(2010 = 100) data from the World Bank.
get_brazil_energy_use()
: Get Brazil’s Energy Use (kg
of oil equivalent per capita) data from the World Bank.
get_brazil_gdp()
: Get Brazil’s GDP (current US$)
data from the World Bank.
get_brazil_hospital_beds()
: Get Brazil’s Hospital
Beds (per 1,000 people) data from the World Bank.
get_brazil_life_expectancy()
: Get Brazil’s Life
Expectancy at Birth data from the World Bank.
get_brazil_literacy_rate()
: Get Brazil’s Adult
Literacy Rate data from the World Bank.
get_brazil_population()
: Get Brazil’s Total
Population data from the World Bank.
get_brazil_unemployment()
: Get Brazil’s Total
Unemployment Rate data from the World Bank.
get_brazil_holidays()
: Get official public holidays
in Brazil for a given year, e.g.,
get_brazil_holidays(2025)
.
view_datasets_BrazilDataAPI()
: Lists all curated
datasets included in the BrazilDataAPI
package
The naming convention helps you easily understand the structure of each dataset:
_df
: A standard data frame.
_ts
: A time series object.
_list
: A list object.
Brasil_females_df
: Brazilian Female Demographics
& Mortality A data frame containing population counts and mortality
information for females in Brazil, disaggregated by federal states and
abridged age groups, for the years 1991 and 2000.
manaus_ts
: Monthly Average Heights of the Rio Negro
at Manaus A univariate time series of monthly average river heights of
the Rio Negro at Manaus. The series contains 1080 observations spanning
90 years, from January 1903 to December 1992.
Yellow_Fever_list
: Yellow Fever Outbreak in Brazil A
list object containing information on the flow of Yellow Fever cases
between five Brazilian states during the outbreak period from December
2016 to May 2017.
# Load the package
library(BrazilDataAPI)
# Selected, essential information about Brazil
get_country_info_br()
# Get List of Banks in Brazil
get_brazil_banks()
# Load a dataset
data("Brasil_females_df")
# Shows six rows of the dataset
head(Brasil_females_df)
# Display the structure of the dataset
str(Brasil_females_df)
# Shows the whole dataset
View(Brasil_females_df)
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.