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.

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

install.packages("IndiAPIs")

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

library(IndiAPIs)

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.

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.

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.

# 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)