The World Bank provides free and open access to a wide range of development data, including statistics on poverty, health, education, and infrastructure. The Data API allows developers to access and retrieve data in XML or JSON format.
This guide provides step-by-step instructions on how to access World Bank data using the API, including how to register for an API key, construct API requests, and parse API responses.
The official API documentation provides detailed information on available endpoints, parameters, and response formats. It also includes code examples in various programming languages to help developers get started.
This article provides a tutorial on how to use the World Bank API to retrieve and analyze development data. It covers topics such as data cleaning, visualization, and statistical modeling using popular libraries like Pandas and Matplotlib.
This GitHub repository provides a collection of Python scripts and notebooks that demonstrate how to access and analyze World Bank data using the API. It includes examples of data visualization, regression analysis, and machine learning.
This online course provides an introduction to the World Bank Data API, including how to access and use the API, and how to analyze and visualize development data. It is designed for data scientists, researchers, and policymakers.
This research paper discusses the World Bank's Open Data Initiative, which aims to provide free and open access to development data. It highlights the benefits and challenges of open data, and provides case studies of successful data-driven projects.
This blog post provides a tutorial on how to access and analyze World Bank data using the API and the R programming language. It covers topics such as data import, cleaning, and visualization, and provides examples of R code and packages.