ChileDataAPI

The ChileDataAPI package provides a unified interface to access open data from the FINDIC API and the REST Countries API, with a focus on Chile. It allows users to easily retrieve up-to-date time series data on financial indicators such as the UF, UTM, Dollar, Euro, Yen, Copper price per pound, Bitcoin, and the IPSA index, as well as international metadata on countries via standardized API calls.

All API-based functions return data as tidy tibble objects, making them ready for immediate use in data pipelines. The financial indicator functions, such as get_chile_dollar(), get_chile_uf(), and get_chile_bitcoin(), provide real-time series of daily or monthly values, with each row representing a timestamped observation. This makes ChileDataAPI a valuable tool for working with economic time series data in a reproducible manner.

Installation

You can install the ChileDataAPI package from CRAN with the following R function:

install.packages("ChileDataAPI")

Usage

After installation, load the package and start exploring and using its functions and datasets.

library(ChileDataAPI)

ChileDataAPI Functions

• get_chile_bitcoin(): Retrieves the daily Bitcoin price in Chilean Pesos over the last month.

• get_chile_copper_pound(): Returns historical daily copper prices (per pound).

• get_chile_dollar(): Provides the exchange rate of the U.S. Dollar in CLP.

• get_chile_euro(): Provides the exchange rate of the Euro in CLP.

• get_chile_ipsa(): Retrieves daily values of the IPSA (Chile’s stock market index).

• get_chile_uf(): Returns daily values of the Unidad de Fomento (UF).

• get_chile_utm(): Returns monthly values of the Unidad Tributaria Mensual (UTM).

• get_chile_yen(): Provides the exchange rate of the Japanese Yen in CLP.

• get_country_info(name): Get essential information about Chile or any other country by its full name Example: get_country_info(“Chile”),get_country_info(“chile”),get_country_info(“Peru”)

• view_datasets_ChileDataAPI(): Lists all curated datasets included in the ChileDataAPI package

Dataset Suffixes

Each dataset in ChileDataAPI is labeled with a suffix to indicate its structure and type:

• _df: A standard data frame.

• _ts: A time series object.

• _tbl_df: A tibble data frame object.

Datasets Included in ChileDataAPI

In addition to API access functions, ChileDataAPI provides several curated datasets offering valuable insights into Chile’s recent history, population health, territorial divisions, electoral processes, and seismic activity. Here are some featured examples:

• census_chile_2017_df: Data frame containing microdata from the 2017 Chilean census, specifically from the commune of San Pablo. The dataset includes 7,512 observations, all variable names and data values are in Spanish.

• chile_earthquakes_tbl_df: Tibble containing information about significant (perceptible) earthquakes that occurred in Chile from January 1st, 2012 to the present.

• malleco_tree_rings_ts: 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.

Example Code:

# Load the package

library(ChileDataAPI)

# Selected, essential information about Chile

get_country_info("Chile")

# Provides the exchange rate of the U.S. Dollar in CLP

get_chile_dollar()

# Load a dataset

data("census_chile_2017_df")

# Shows six rows of the dataset

head(census_chile_2017_df)

# Display the structure of the dataset

str(census_chile_2017_df)

# Shows the whole dataset

View(census_chile_2017_df)