Type: Package
Title: Access Chilean Data via APIs and Curated Datasets
Version: 0.2.0
Maintainer: Renzo Caceres Rossi <arenzocaceresrossi@gmail.com>
Description: Provides functions to access data from public RESTful APIs including 'FINDIC API', 'REST Countries API', 'World Bank API', and 'Nager.Date', retrieving real-time or historical data related to Chile such as financial indicators, holidays, international demographic and geopolitical indicators, and more. Additionally, the package includes curated datasets related to Chile, covering topics such as human rights violations during the Pinochet regime, electoral data, census samples, health surveys, seismic events, territorial codes, and environmental measurements. The package supports research and analysis focused on Chile by integrating open APIs with high-quality datasets from multiple domains. For more information on the APIs, see: 'FINDIC' https://findic.cl/, 'REST Countries' https://restcountries.com/, 'World Bank API' https://datahelpdesk.worldbank.org/knowledgebase/articles/889392, and 'Nager.Date' https://date.nager.at/Api.
License: GPL-3
Language: en
URL: https://github.com/lightbluetitan/chiledataapi, https://lightbluetitan.github.io/chiledataapi/
BugReports: https://github.com/lightbluetitan/chiledataapi/issues
Encoding: UTF-8
LazyData: true
Depends: R (≥ 4.1.0)
Imports: utils, httr, jsonlite, dplyr, tibble, scales
Suggests: ggplot2, testthat (≥ 3.0.0), knitr, rmarkdown
RoxygenNote: 7.3.2
Config/testthat/edition: 3
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-09-11 06:45:37 UTC; Renzo
Author: Renzo Caceres Rossi ORCID iD [aut, cre]
Repository: CRAN
Date/Publication: 2025-09-11 08:00:13 UTC

ChileDataAPI: Access Chilean Data via APIs and Curated Datasets

Description

This package provides functions to access data from public RESTful APIs including 'FINDIC API', 'REST Countries API', 'World Bank API', and 'Nager.Date', retrieving real-time or historical data related to Chile such as financial indicators, holidays, international demographic and geopolitical indicators, and more. Additionally, the package includes curated datasets related to Chile, covering topics such as human rights violations during the Pinochet regime, electoral data, census samples, health surveys, seismic events, territorial codes, and environmental measurements..

Details

ChileDataAPI: Access Chilean Data via APIs and Curated Datasets

logo

Access Chilean Data via APIs and Curated Datasets.

Author(s)

Maintainer: Renzo Caceres Rossi arenzocaceresrossi@gmail.com

See Also

Useful links:

Chilean Census Example Data (San Pablo Commune, 2017)

Description

This dataset, census_chile_2017_df, is a data frame containing microdata from the 2017 Chilean census, specifically from the commune of San Pablo. It was selected due to its relatively small size, making it suitable for inclusion in CRAN and GitHub repositories. The dataset includes 7,512 observations and 60 variables related to housing, households, individuals, migration, education, and geographic information. All variable names and data values are in Spanish, as retrieved from the original source.

Usage

data(census_chile_2017_df)

Format

A data frame with 7,512 observations and 60 variables:

region

Administrative region code

provincia

Province code

comuna

Commune code

dc

Census district code

area

Urban/rural area indicator

zc_loc

Census location zone

id_zona_loc

Location zone ID

nviv

Number of dwellings

nhogar

Number of households

personan

Person number

p07

Sex

p08

Relationship to head of household

p09

Age

p10

Place of birth (Chile or abroad)

p10comuna

Commune of birth

p10pais

Country of birth

p11

Last place of residence

p11comuna

Commune of last residence

p11pais

Country of last residence

p12

Place of residence in 2012

p12comuna

Commune of residence in 2012

p12pais

Country of residence in 2012

p12a_llegada

Year of arrival

p12a_tramo

Time range of arrival

p13

Health insurance

p14

Marital status

p15

Educational level

p15a

Currently attending school

p16

Employment status

p16a

Occupation type

p16a_otro

Other occupation (free text)

p17

Disability indicator

p18

Ethnic group

p19

Language spoken

p20

Language understood

p21m

Month of migration

p21a

Year of migration

p10pais_grupo

Grouped birth country

p11pais_grupo

Grouped last residence country

p12pais_grupo

Grouped 2012 residence country

escolaridad

Years of schooling

p16a_grupo

Grouped occupation

region_15r

Region code (15-region system)

provincia_15r

Province code (15-region system)

comuna_15r

Commune code (15-region system)

p10comuna_15r

Commune of birth (15-region system)

p11comuna_15r

Commune of last residence (15-region system)

p12comuna_15r

Commune of residence in 2012 (15-region system)

geocode

Geographical identifier

p01

Type of dwelling

p02

Dwelling condition

p03a

Material of exterior walls

p03b

Material of floor

p03c

Material of roof

p04

Number of rooms

p05

Number of bedrooms

cant_hog

Number of households in the dwelling

cant_per

Number of persons in the dwelling

tipo_hogar

Type of household

tipo_operativo

Census operation type

Details

The dataset name has been kept as census_chile_2017_df to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the ChileDataAPI package and assists users in identifying its specific characteristics. The suffix df indicates that the dataset is a data frame. The original content has not been modified.

Source

Data taken from the ismtchile package version 2.1.5.

Chilean Earthquakes Data

Description

This dataset, chile_earthquakes_tbl_df, is a tibble containing information about significant (perceptible) earthquakes that occurred in Chile from January 1st, 2012 to the present. The data was originally compiled by the Centro Sismológico Nacional (Chile) and was published on Kaggle by Nicolás González Muñoz. The dataset includes 4,018 observations and 5 variables, capturing relevant geophysical characteristics such as the date and time of occurrence, geographic coordinates, depth, and magnitude of each seismic event.

Usage

data(chile_earthquakes_tbl_df)

Format

A tibble with 4,018 observations and 5 variables:

Date(UTC)

Timestamp of the earthquake in UTC (POSIXct)

Latitude

Latitude coordinate of the event (numeric)

Longitude

Longitude coordinate of the event (numeric)

Depth

Depth in kilometers (numeric)

Magnitude

Richter magnitude of the earthquake (numeric)

Details

The dataset name has been kept as 'chile_earthquakes_tbl_df' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the ChileDataAPI package and assists users in identifying its specific characteristics. The suffix 'tbl_df' indicates that the dataset is a tibble (a modern data frame). The original content has not been modified in any way. Variable names and values are in English, as originally provided by the source.

Source

Data taken from Kaggle: https://www.kaggle.com/datasets/nicolasgonzalezmunoz/earthquakes-on-chile

Chilean 2021 First Round Presidential Election

Description

This dataset, chile_election_2021_df, is a data frame containing the results of the first round of the 2021 Chilean presidential elections. It includes vote counts for seven presidential candidates, as well as counts for blank and null votes. Each observation corresponds to an individual ballot box, identified by its unique ID and associated electoral district. Additionally, the dataset includes demographic information on the age distribution of voters for each ballot box, and a logical indicator for mismatches or inconsistencies in the vote counts.

Usage

data(chile_election_2021_df)

Format

A data frame with 46,606 observations and 21 variables:

REGION

Administrative region (character)

ELECTORAL.DISTRICT

Electoral district (character)

BALLOT.BOX

Unique identifier for the ballot box (character)

C1

Votes for Candidate 1 (integer)

C2

Votes for Candidate 2 (integer)

C3

Votes for Candidate 3 (integer)

C4

Votes for Candidate 4 (integer)

C5

Votes for Candidate 5 (integer)

C6

Votes for Candidate 6 (integer)

C7

Votes for Candidate 7 (integer)

BLANK.VOTES

Count of blank votes (integer)

NULL.VOTES

Count of null votes (integer)

X18.19

Voters aged 18–19 (integer)

X20.29

Voters aged 20–29 (integer)

X30.39

Voters aged 30–39 (integer)

X40.49

Voters aged 40–49 (integer)

X50.59

Voters aged 50–59 (integer)

X60.69

Voters aged 60–69 (integer)

X70.79

Voters aged 70–79 (integer)

X80.

Voters aged 80 and older (integer)

MISMATCH

Logical indicator of inconsistency in vote reporting (logical)

Details

The dataset name has been kept as chile_election_2021_df to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the ChileDataAPI package and assists users in identifying its specific characteristics. The suffix df indicates that the dataset is a data frame. The original content has not been modified.

Source

Data taken from the fastei package version 0.0.0.7.

Chilean National Health Survey (2016–2017)

Description

This dataset, chile_health_survey_df, is a data frame containing information collected by the Chilean National Health Survey conducted between 2016 and 2017. The objective of the survey was to study the health status of the Chilean population and support health-related public policy design. The dataset includes biometric, behavioral, demographic, and educational variables from 3,211 individuals.

Usage

data(chile_health_survey_df)

Format

A data frame with 3,211 observations and 12 variables:

pas, pad

Systolic and diastolic blood pressure (numeric)

age

Age of the respondent (integer)

waist, bmi

Waist circumference and body mass index (numeric)

sedentary, smoker, diabetes, depression

Health behavior and condition indicators (integer)

male

Sex of the respondent (1 = male, 0 = female) (integer)

scholar2, scholar3

Education level indicators (integer)

Details

The dataset name has been kept as 'chile_health_survey_df' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the ChileDataAPI package and assists users in identifying its specific characteristics. The suffix 'df' indicates that the dataset is a data frame. The original content has not been modified in any way.

Source

Data taken from the abms package version 0.2

Voting Intentions in the 1988 Chilean Plebiscite

Description

This dataset, chile_plebiscite_df, is a data frame containing information on voting intentions in the 1988 Chilean plebiscite. The data were collected from a national survey conducted by FLACSO/Chile during April and May of 1988. The dataset consists of 2,700 observations and 8 variables, including demographic details such as region, sex, age, education, and income, as well as voting preferences and support for the status quo. Some observations contain missing values.

Usage

data(chile_plebiscite_df)

Format

A data frame with 2,700 observations and 8 variables:

region

Region of the respondent (factor with 5 levels: "C", "M", "N", "S", ...)

population

Population size of the respondent's area (integer)

sex

Sex of the respondent (factor: "F", "M")

age

Age in years (integer)

education

Education level (factor with 3 levels: "P", "PS", "S")

income

Income of the respondent (integer)

statusquo

Support for the status quo (numeric scale)

vote

Intended vote (factor with 4 levels)

Details

The dataset name has been kept as 'chile_plebiscite_df' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the ChileDataAPI package and assists users in identifying its specific characteristics. The suffix 'df' indicates that the dataset is a data frame. The original content has not been modified in any way.

Source

Data taken from the carData package version 3.0-5

Get Observed Bitcoin Value from the findic.cl API

Description

This function retrieves the observed value of Bitcoin in US Dollars from the API endpoint: https://findic.cl/api/bitcoin. The data is provided by the Chilean website findic.cl.

Usage

get_chile_bitcoin()

Details

The values returned by the API include metadata and a time series of daily values. The names of the variables and the values are in Spanish, exactly as provided by the API. For example, the result includes columns named fecha (date) and valor (value).

The function sends a GET request to the /api/bitcoin endpoint. If the request is successful (HTTP 200), it parses the JSON response and extracts the time series data under the key serie.

All names and values are kept in Spanish as provided by the API and no translation or modification is applied.

Value

A tibble (data frame) with the following columns:

Note

Requires internet connection. The function returns the values exactly as provided in Spanish.

See Also

GET, fromJSON, as_tibble

Examples

## Not run: 
bitcoin_data <- get_chile_bitcoin()
head(bitcoin_data)

## End(Not run)

Get Chile's Under-5 Mortality Rate from World Bank

Description

Retrieves Chile's under-5 mortality rate, measured as the number of deaths of children under five years of age per 1,000 live births, for the years 2010 to 2022 using the World Bank Open Data API. The indicator used is SH.DYN.MORT.

Usage

get_chile_child_mortality()

Details

This function sends a GET request to the World Bank API. If the API request fails or returns an error status code, the function returns NULL with an informative message.

Value

A tibble with the following columns:

Note

Requires internet connection.

Source

World Bank Open Data API: https://data.worldbank.org/indicator/SH.DYN.MORT

See Also

GET, fromJSON, as_tibble

Examples

if (interactive()) {
  get_chile_child_mortality()
}

Get Observed Copper Price per Pound from the findic.cl API

Description

This function retrieves the observed daily value of the copper price per pound ("Libra de Cobre") in U.S. Dollars from the API endpoint: https://findic.cl/api/libra_cobre. The data is provided by the Chilean website findic.cl.

Usage

get_chile_copper_pound()

Details

The values returned by the API include metadata and a time series of daily prices. The names of the variables and the values are in Spanish, exactly as provided by the API. For example, the result includes columns named fecha (date) and valor (value).

The function sends a GET request to the /api/libra_cobre endpoint. If the request is successful (HTTP 200), it parses the JSON response and extracts the time series data under the key serie.

All names and values are kept in Spanish as provided by the API and no translation or modification is applied.

Value

A tibble (data frame) with the following columns:

Note

Requires internet connection. The function returns the values exactly as provided in Spanish.

See Also

GET, fromJSON, as_tibble

Examples

## Not run: 
copper_data <- get_chile_copper_pound()
head(copper_data)

## End(Not run)

Get Chile's Consumer Price Index (2010 = 100) from World Bank

Description

Retrieves Chile's Consumer Price Index (CPI), with 2010 as the base year (index = 100), for the years 2010 to 2022 using the World Bank Open Data API. The indicator used is FP.CPI.TOTL.

Usage

get_chile_cpi()

Details

This function sends a GET request to the World Bank API. If the API request fails or returns an error status code, the function returns NULL with an informative message.

Value

A tibble with the following columns:

Note

Requires internet connection.

Source

World Bank Open Data API: https://data.worldbank.org/indicator/FP.CPI.TOTL

See Also

GET, fromJSON, as_tibble

Examples

if (interactive()) {
  get_chile_cpi()
}

Get Observed Dollar Exchange Rate from the findic.cl API

Description

This function retrieves the observed exchange rate ("Dólar observado") in Chilean Pesos from the API endpoint: https://findic.cl/api/dolar. The data is provided by the Chilean website findic.cl.

Usage

get_chile_dollar()

Details

The values returned by the API include metadata and a time series of daily exchange rates. The names of the variables and the values are in Spanish, exactly as provided by the API. For example, the result includes columns named fecha (date) and valor (value).

The function sends a GET request to the /api/dolar endpoint. If the request is successful (HTTP 200), it parses the JSON response and extracts the time series data under the key serie.

All names and values are kept in Spanish as provided by the API and no translation or modification is applied.

Value

A tibble (data frame) with the following columns:

Note

Requires internet connection. The function returns the values exactly as provided in Spanish.

See Also

GET, fromJSON, as_tibble

Examples

## Not run: 
dolar_data <- get_chile_dollar()
head(dolar_data)

## End(Not run)

Get Chile's Energy Use (kg of oil equivalent per capita) from World Bank

Description

Retrieves Chile's energy use per capita, measured in kilograms of oil equivalent, for the years 2010 to 2022 using the World Bank Open Data API. The indicator used is EG.USE.PCAP.KG.OE.

Usage

get_chile_energy_use()

Details

This function sends a GET request to the World Bank API. If the API request fails or returns an error status code, the function returns NULL with an informative message.

Value

A tibble with the following columns:

Note

Requires internet connection.

Source

World Bank Open Data API: https://data.worldbank.org/indicator/EG.USE.PCAP.KG.OE

See Also

GET, fromJSON, as_tibble

Examples

if (interactive()) {
  get_chile_energy_use()
}

Get Observed Euro Exchange Rate from the findic.cl API

Description

This function retrieves the observed exchange rate ("Euro (pesos por euro)") in Chilean Pesos from the API endpoint: https://findic.cl/api/euro. The data is provided by the Chilean website findic.cl.

Usage

get_chile_euro()

Details

The values returned by the API include metadata and a time series of daily exchange rates. The names of the variables and the values are in Spanish, exactly as provided by the API. For example, the result includes columns named fecha (date) and valor (value).

The function sends a GET request to the /api/euro endpoint. If the request is successful (HTTP 200), it parses the JSON response and extracts the time series data under the key serie.

All names and values are kept in Spanish as provided by the API and no translation or modification is applied.

Value

A tibble (data frame) with the following columns:

Note

Requires internet connection. The function returns the values exactly as provided in Spanish.

See Also

GET, fromJSON, as_tibble

Examples

## Not run: 
euro_data <- get_chile_euro()
head(euro_data)

## End(Not run)

Get Chile's GDP (current US$) from World Bank

Description

Retrieves Chile's Gross Domestic Product (GDP) in current US dollars for the years 2010 to 2022 using the World Bank Open Data API. The indicator used is NY.GDP.MKTP.CD.

Usage

get_chile_gdp()

Details

This function sends a GET request to the World Bank API. If the API request fails or returns an error status code, the function returns NULL with an informative message.

Value

A tibble with the following columns:

Note

Requires internet connection.

Source

World Bank Open Data API: https://data.worldbank.org/indicator/NY.GDP.MKTP.CD

See Also

GET, fromJSON, as_tibble, comma

Examples

if (interactive()) {
  get_chile_gdp()
}

Get Official Public Holidays in Chile for a Given Year

Description

Retrieves the list of official public holidays in Chile for a specific year using the Nager.Date public holidays API. This function returns a tibble containing the date of the holiday, the name in the local language (Spanish), and the English name. It is useful for academic, planning, and data analysis purposes. The information is retrieved directly from the Nager.Date API and reflects the current status of holidays for the requested year. The field names returned are consistent with the API structure.

Usage

get_chile_holidays(year)

Arguments

year

An integer indicating the year (e.g., 2024 or 2025).

Value

A tibble with the following columns:

Source

Data obtained from the Nager.Date API: https://date.nager.at/

Examples

get_chile_holidays(2024)
get_chile_holidays(2025)

Get Chile's Hospital Beds (per 1,000 people) from World Bank

Description

Retrieves Chile's number of hospital beds per 1,000 people for the years 2010 to 2022 using the World Bank Open Data API. The indicator used is SH.MED.BEDS.ZS.

Usage

get_chile_hospital_beds()

Details

This function sends a GET request to the World Bank API. If the API request fails or returns an error status code, the function returns NULL with an informative message.

Value

A tibble with the following columns:

Note

Requires internet connection.

Source

World Bank Open Data API: https://data.worldbank.org/indicator/SH.MED.BEDS.ZS

See Also

GET, fromJSON, as_tibble

Examples

if (interactive()) {
  get_chile_hospital_beds()
}

Get IPSA (Índice de Precios Selectivo de Acciones) from the findic.cl API

Description

This function retrieves the historical values of the IPSA index ("Índice de Precios Selectivo de Acciones") from the API endpoint: https://findic.cl/api/ipsa. The data is provided by the Chilean website findic.cl.

Usage

get_chile_ipsa()

Details

The values returned by the API include metadata and a time series of daily IPSA index values. The names of the variables and the values are in Spanish, exactly as provided by the API. For example, the result includes columns named fecha (date) and valor (value).

The function sends a GET request to the /api/ipsa endpoint. If the request is successful (HTTP 200), it parses the JSON response and extracts the time series data under the key serie.

All names and values are kept in Spanish as provided by the API and no translation or modification is applied.

Value

A tibble (data frame) with the following columns:

Note

Requires internet connection. The function returns the values exactly as provided in Spanish.

See Also

GET, fromJSON, as_tibble

Examples

## Not run: 
ipsa_data <- get_chile_ipsa()
head(ipsa_data)

## End(Not run)

Get Chile's Life Expectancy at Birth (Total, Years) from World Bank

Description

Retrieves Chile's life expectancy at birth (total, years) for the years 2010 to 2022 using the World Bank Open Data API. The indicator used is SP.DYN.LE00.IN.

Usage

get_chile_life_expectancy()

Details

This function sends a GET request to the World Bank API. If the API request fails or returns an error status code, the function returns NULL with an informative message.

Value

A tibble with the following columns:

Note

Requires internet connection.

Source

World Bank Open Data API: https://data.worldbank.org/indicator/SP.DYN.LE00.IN

See Also

GET, fromJSON, as_tibble

Examples

if (interactive()) {
  get_chile_life_expectancy()
}

Get Chile's Adult Literacy Rate

Description

Retrieves Chile's adult literacy rate ( for the years 2010 to 2022 using the World Bank Open Data API. The indicator used is SE.ADT.LITR.ZS.

Usage

get_chile_literacy_rate()

Details

This function sends a GET request to the World Bank API. If the API request fails or returns an error status code, the function returns NULL with an informative message.

Value

A tibble with the following columns:

Note

Requires internet connection.

Source

World Bank Open Data API: https://data.worldbank.org/indicator/SE.ADT.LITR.ZS

See Also

GET, fromJSON, as_tibble

Examples


  literacy_data <- get_chile_literacy_rate()
  head(literacy_data)

Get Chile's Total Population from World Bank

Description

Retrieves Chile's total population for the years 2010 to 2022 using the World Bank Open Data API. The indicator used is SP.POP.TOTL.

Usage

get_chile_population()

Details

The function sends a GET request to the World Bank API. If the API request fails or returns an error status code, the function returns NULL with an informative message.

Value

A tibble with the following columns:

Note

Requires internet connection. The data is retrieved in real time from the World Bank API.

Source

World Bank Open Data API: https://data.worldbank.org/indicator/SP.POP.TOTL

See Also

GET, fromJSON, as_tibble, comma

Examples

if (interactive()) {
  get_chile_population()
}

Get Unidad de Fomento (UF) from the findic.cl API

Description

This function retrieves the Unidad de Fomento (UF) daily values in Chilean Pesos from the API endpoint: https://findic.cl/api/uf. The data is provided by the Chilean website findic.cl.

Usage

get_chile_uf()

Details

The values returned by the API include metadata and a time series of daily UF values. The names of the variables and the values are in Spanish, exactly as provided by the API. For example, the result includes columns named fecha (date) and valor (value).

The function sends a GET request to the /api/uf endpoint. If the request is successful (HTTP 200), it parses the JSON response and extracts the time series data under the key serie.

All names and values are kept in Spanish as provided by the API and no translation or modification is applied.

Value

A tibble (data frame) with the following columns:

Note

Requires internet connection. The function returns the values exactly as provided in Spanish.

See Also

GET, fromJSON, as_tibble

Examples

## Not run: 
uf_data <- get_chile_uf()
head(uf_data)

## End(Not run)

Get Chile's Unemployment Rate (Total) from World Bank

Description

Retrieves Chile's total unemployment rate, measured as a percentage of the total labor force, for the years 2010 to 2022 using the World Bank Open Data API. The indicator used is SL.UEM.TOTL.ZS.

Usage

get_chile_unemployment()

Details

This function sends a GET request to the World Bank API. If the API request fails or returns an error status code, the function returns NULL with an informative message.

Value

A tibble with the following columns:

Note

Requires internet connection.

Source

World Bank Open Data API: https://data.worldbank.org/indicator/SL.UEM.TOTL.ZS

See Also

GET, fromJSON, as_tibble

Examples

if (interactive()) {
  get_chile_unemployment()
}

Get Monthly Tax Unit (UTM) from the findic.cl API

Description

This function retrieves the historical values of the Unidad Tributaria Mensual (UTM) in Chilean Pesos from the API endpoint: https://findic.cl/api/utm. The data is provided by the Chilean website findic.cl.

Usage

get_chile_utm()

Details

The values returned by the API include metadata and a time series of monthly values. The names of the variables and the values are in Spanish, exactly as provided by the API. For example, the result includes columns named fecha (date) and valor (value).

The function sends a GET request to the /api/utm endpoint. If the request is successful (HTTP 200), it parses the JSON response and extracts the time series data under the key serie.

All names and values are kept in Spanish as provided by the API and no translation or modification is applied.

Value

A tibble (data frame) with the following columns:

Note

Requires internet connection. The function returns the values exactly as provided in Spanish.

See Also

GET, fromJSON, as_tibble

Examples

## Not run: 
utm_data <- get_chile_utm()
head(utm_data)

## End(Not run)

Get Observed Yen Exchange Rate from the findic.cl API

Description

This function retrieves the observed exchange rate ("Yen (pesos por yen)") in Chilean Pesos from the API endpoint: https://findic.cl/api/yen. The data is provided by the Chilean website findic.cl.

Usage

get_chile_yen()

Details

The values returned by the API include metadata and a time series of daily exchange rates. The names of the variables and the values are in Spanish, exactly as provided by the API. For example, the result includes columns named fecha (date) and valor (value).

The function sends a GET request to the /api/yen endpoint. If the request is successful (HTTP 200), it parses the JSON response and extracts the time series data under the key serie.

All names and values are kept in Spanish as provided by the API and no translation or modification is applied.

Value

A tibble (data frame) with the following columns:

Note

Requires internet connection. The function returns the values exactly as provided in Spanish.

See Also

GET, fromJSON, as_tibble

Examples

## Not run: 
yen_data <- get_chile_yen()
head(yen_data)

## End(Not run)

Get Country Information for Chile

Description

Retrieves comprehensive country information for Chile from the REST Countries API. This function fetches data including official and common names, geographical information, capital, area, population, and languages.

Usage

get_country_info_cl()

Details

This function makes a request to the REST Countries API v3.1 endpoint specifically for Chile using full text search. It handles API errors gracefully and returns NULL if the request fails or no data is found.

Value

A tibble with one row containing Chile's country information:

name_common

Common name of the country

name_official

Official name of the country

region

Geographic region

subregion

Geographic subregion

capital

Capital city(ies)

area

Total area in square kilometers

population

Total population

languages

Languages spoken (comma-separated)

Examples


# Get Chile information
cl_info <- get_country_info_cl()
print(cl_info)

Average Araucaria Araucana Tree Ring Width

Description

This dataset, malleco_tree_rings_ts, is a time series object ('ts') containing the average annual tree ring width, measured in millimeters, for Araucaria Araucana trees located in the Malleco region of Chile. The data spans 734 years, from 1242 to 1975, and was originally collected for use in climate and environmental reconstructions. The frequency of the series is annual (one observation per year). The series shows interannual variability in growth and is suitable for time series analysis and dendrochronological studies.

Usage

data(malleco_tree_rings_ts)

Format

A time series object with 734 annual observations:

Start year

1242

End year

1975

Frequency

Annual (1)

Values

Average annual ring width in millimeters (numeric)

Details

The dataset name has been kept as 'malleco_tree_rings_ts' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the ChileDataAPI package and assists users in identifying its specific characteristics. The suffix 'ts' indicates that the dataset is a time series object. The original content has not been modified in any way.

Source

Data taken from the LSTS package version 2.1

Human Rights Abuses in the Pinochet Regime (1973–1990)

Description

This dataset, pinochet_regime_df, is a data frame containing detailed information about human rights violations that occurred in Chile during the military dictatorship of Augusto Pinochet, spanning from 1973 to 1990. The data includes victim-level records such as names, age, gender, affiliation, nature of the violence, methods used, and geographic information when available. It is based on the National Truth and Reconciliation Commission Report (1991, ISBN:9780268016463). The dataset also includes georeferenced locations across multiple levels for incidents where such data could be retrieved.

Usage

data(pinochet_regime_df)

Format

A data frame with 2,398 observations and 59 variables:

individual_id

Victim ID

group_id

Group ID for collective incidents

start_date_daily

Start date (day precision)

end_date_daily

End date (day precision)

start_date_monthly

Start date (month precision)

end_date_monthly

End date (month precision)

last_name

Victim's last name

first_name

Victim's first name

minor

Indicator if victim was a minor

age

Age of the victim

male

Indicator if victim was male

occupation

Victim's occupation

occupation_detail

Detailed occupation description

victim_affiliation

Affiliation of the victim

victim_affiliation_detail

Detailed affiliation

violence

Type of violence experienced

method

Method of violence

interrogation

Interrogation indicator

torture

Torture indicator

mistreatment

Mistreatment indicator

targeted

Targeting category

press

Indicator for press involvement

war_tribunal

War tribunal indicator

number_previous_arrests

Number of previous arrests

perpetrator_affiliation

Affiliation of perpetrator

perpetrator_affiliation_detail

Detailed affiliation of perpetrator

nationality

Victim's nationality

place_1

First incident location

location_1

First location detail

latitude_1

Latitude of first location

longitude_1

Longitude of first location

exact_coordinates_1

Indicator of coordinate precision (1 = exact)

place_2

Second incident location

location_2

Second location detail

latitude_2

Latitude of second location

longitude_2

Longitude of second location

exact_coordinates_2

Indicator of coordinate precision (2nd)

place_3

Third incident location

location_3

Third location detail

latitude_3

Latitude of third location

longitude_3

Longitude of third location

exact_coordinates_3

Indicator of coordinate precision (3rd)

place_4

Fourth incident location

location_4

Fourth location detail

latitude_4

Latitude of fourth location

longitude_4

Longitude of fourth location

exact_coordinates_4

Indicator of coordinate precision (4th)

place_5

Fifth incident location

location_5

Fifth location detail

latitude_5

Latitude of fifth location

longitude_5

Longitude of fifth location

exact_coordinates_5

Indicator of coordinate precision (5th)

place_6

Sixth incident location

location_6

Sixth location detail

latitude_6

Latitude of sixth location

longitude_6

Longitude of sixth location

exact_coordinates_6

Indicator of coordinate precision (6th)

page

Source page in the original report

additional_comments

Additional remarks or context

Details

The dataset name has been kept as pinochet_regime_df to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the ChileDataAPI package and assists users in identifying its specific characteristics. The suffix df indicates that the dataset is a data frame. The original content has not been modified.

Source

Data taken from the pinochet package version 0.1.0.

Official Codes for Chilean Communes, Provinces, and Regions

Description

This dataset, territorial_codes_tbl_df, is a tibble containing official codes for communes, provinces, and regions in Chile. The codes were provided by the Chilean government agency SUBDERE. The names of the administrative divisions were converted to ASCII characters to avoid encoding issues. All variable names and data values are in Spanish, as retrieved from the original source.

Usage

data(territorial_codes_tbl_df)

Format

A tibble with 346 observations and 6 variables:

codigo_comuna, nombre_comuna

Official commune code and commune name (character, in Spanish)

codigo_provincia, nombre_provincia

Official province code and province name (character, in Spanish)

codigo_region, nombre_region

Official region code and region name (character, in Spanish)

Details

The dataset name has been kept as 'territorial_codes_tbl_df' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the ChileDataAPI package and assists users in identifying its specific characteristics. The suffix 'df' indicates that the dataset is a data frame. The original content has not been modified in any way.

Source

Data taken from the chilemapas package version 0.3.0

View Available Datasets in ChileDataAPI

Description

This function lists all datasets available in the 'ChileDataAPI' package. If the 'ChileDataAPI' package is not loaded, it stops and shows an error message. If no datasets are available, it returns a message and an empty vector.

Usage

view_datasets_ChileDataAPI()

Value

A character vector with the names of the available datasets. If no datasets are found, it returns an empty character vector.

Examples

if (requireNamespace("ChileDataAPI", quietly = TRUE)) {
  library(ChileDataAPI)
  view_datasets_ChileDataAPI()
}