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The MexicoDataAPI package provides a unified interface to access open data from the World Bank API, REST Countries API, and Nager.Date API, with a focus on Mexico. It allows users to retrieve up-to-date information on topics such as economic indicators, population figures, literacy rates, unemployment levels, basic geopolitical information, and official public holidays.

In addition to API-access functions, the package includes a set of curated datasets related to Mexico. These cover areas such as air quality monitoring, state-level income surveys, postal abbreviations, election results, and regional forest classification.

Installation

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


install.packages("MexicoDataAPI")

Usage

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

MexicoDataAPI Functions

Dataset Suffixes

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

  • _df: A standard data frame.

  • _tbl_df: A tibble data frame object.

  • _chr: A character object.

Datasets Included in MexicoDataAPI

In addition to API access functions, MexicoDataAPI provides several preloaded datasets related to Mexico’s environment, demographics, and public data. Here are some featured examples:

  • mexico_elections_df: Data frame containing a subset of the 2012 Mexico Elections Panel Study.

  • mex_income_2016_tbl_df: Tibble containing household-level income data and associated demographic characteristics from the 2016 ENIGH (Household Income and Expenditure Survey).

  • mexico_abb_chr: Character vector containing the official two- or three-letter postal abbreviations for the 32 federal entities of Mexico.

Example Code:


# Load the package
library(MexicoDataAPI)

# Selected, essential information about Mexico
get_country_info_mx()

# Get Mexico's Population (Total) from World Bank
get_mexico_population()

# Load a dataset
data("mex_income_2016_tbl_df")

# Shows six rows of the dataset
head(mex_income_2016_tbl_df)

# Display the structure of the dataset
str(mex_income_2016_tbl_df)

# Shows the whole dataset

View(mex_income_2016_tbl_df)