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Description

Access Mexican Data via APIs and Curated Datasets.

Provides functions to access data from the 'World Bank API' and the 'REST Countries API', related to Mexico's economic indicators, population statistics, literacy rates, and international geopolitical information. Additionally, the package includes curated datasets related to Mexico, including air quality monitoring stations, pollution zones, income surveys, postal abbreviations, election studies, forest productivity, and demographic data by state. The package supports research and analysis focused on Mexico by integrating reliable global APIs with structured national datasets drawn from open and academic sources. For more details on the 'World Bank API', see <https://datahelpdesk.worldbank.org/knowledgebase/articles/889392>, and for the 'REST Countries API', see <https://restcountries.com/>.

MexicoDataAPI

The MexicoDataAPI package provides a unified interface to access open data from the World Bank API and the REST Countries 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, and unemployment levels, as well as basic geopolitical information.

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.

MexicoDataAPI is intended to support users working with data related to Mexico by integrating international API sources with selected datasets from national and academic origins, in a single R package.

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.


library(MexicoDataAPI)

MexicoDataAPI Functions

  • get_mexico_cpi(): Get Mexico's Consumer Price Index (2010 = 100) from World Bank

  • get_mexico_gdp(): Get Mexico's GDP (Current US$) from World Bank

  • get_mexico_life_expectancy: Get Mexico's Life Expectancy from World Bank

  • get_mexico_literacy_rate(): Get Mexico's Literacy Rate (Age 15+) from World Bank

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

  • get_mexico_unemployment(): Get Mexico's Unemployment Rate from World Bank

  • get_country_info(): Get essential information about Mexico or any other country by its full name Example: get_country_info("Mexico"),get_country_info("mexico"),get_country_info("Peru")

  • view_datasets_MexicoDataAPI(): Lists all curated datasets included in the MexicoDataAPI package

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("Mexico")

# 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)


Metadata

Version

0.1.0

License

Unknown

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