The IndiAPIs package provides a unified interface to access open data from the World Bank API and the REST Countries API, with a focus on India. It allows users to retrieve up-to-date or historical information on topics such as economic indicators, international demographic statistics, and key geopolitical details related to India.
In addition to API-access functions, the package includes one of the largest curated collections of open datasets focused on India. These datasets cover a wide range of topics including population, economy, weather, politics, health, biodiversity, sports, agriculture, cybercrime, infrastructure, and more.
Installation
You can install the IndiAPIs package from CRAN with the following R function:
install.packages("IndiAPIs")Usage
After installation, load the package and start exploring and using its functions and datasets.
IndiAPIs Functions
Below is a list of the main functions included in the package:
get_india_child_mortality(): Get India’s Under-5 Mortality Rate from World Bank.get_india_cpi(): Get India’s Consumer Price Index (2010 = 100) from World Bank.get_india_energy_use(): Get India’s Energy Use (kg of oil equivalent per capita) from World Bank.get_india_gdp(): Get India’s GDP (current US$) from World Bank.get_india_hospital_beds(): Get India’s Hospital Beds (per 1,000 people) from World Bank.get_india_life_expectancy(): Get India’s Life Expectancy at Birth from World Bank.get_india_literacy_rate(): Get India’s Adult Literacy Rate from World Bank.get_india_population(): Get India’s Total Population from World Bank.get_india_unemployment(): Get India’s Unemployment Rate (% of total labor force) from World Bank.get_country_info_in(): Get Key Country Information for India.view_datasets_IndiAPIs(): View Available Datasets in IndiAPIs.
Dataset Suffixes
Each dataset in IndiAPIs is labeled with a suffix to indicate its structure and type:
_df: A standard data frame object._dt: A data table object._ts: A time series object.
Datasets Included in IndiAPIs
In addition to API access functions, IndiAPIs offers one of the largest curated collections of open datasets focused on India. These preloaded datasets cover a wide range of topics including population, economy, weather, politics, health, biodiversity, sports, agriculture, cybercrime, infrastructure, and more. Below are some featured examples:
BurdwanWeather_df: A data frame containing weekly weather data for the rice growing season in the Burdwan district of West Bengal, India.birds_watching_tbl_df: A tibble containing detailed information on bird species observed in India, including species names, scientific names, the date of last observation.DelhiPotatoPrices_ts: A time series containing the monthly average potato prices of the Delhi market from January 2010 to July 2020.
Example Code:
# Load the package
library(IndiAPIs)
# Retrieves essential information about India
get_country_info_in()
# Get India's Population (Total) from World Bank
get_india_population()
# Load a dataset
data(India_census2011_tbl_df)
# Shows six rows of the dataset
head(India_census2011_tbl_df)
# Display the structure of the dataset
str(India_census2011_tbl_df)
# Shows the whole dataset
View(India_census2011_tbl_df)