The World Bank API provides free and open access to a wide range of development data, including statistics on poverty, health, education, and infrastructure. The API uses a REST-based interface and returns data in JSON or XML format.
This page provides an overview of the data models and schemas used in the World Bank API, including information on data types, field names, and relationships between datasets. It also includes examples of API requests and responses.
The World Bank Open Data initiative provides free and open access to a wide range of development data, including statistics on poverty, health, education, and infrastructure. The initiative includes a range of tools and resources, including APIs, data visualizations, and data models.
This article provides a tutorial on how to use the World Bank API with Python, including examples of how to retrieve data, parse JSON responses, and visualize data using popular libraries like Pandas and Matplotlib.
This page provides detailed schema documentation for the World Bank API, including information on data types, field names, and relationships between datasets. It also includes examples of API requests and responses.
This article provides an overview of the World Bank API and how it can be used to explore and analyze development data. It includes examples of how to use the API to retrieve data, visualize trends, and identify patterns.
This GitHub repository provides access to the World Bank data model and schema, including JSON and XML representations of the data. It also includes examples of how to use the data model and schema to build applications and visualizations.
This article provides a tutorial on how to integrate World Bank API data into your application, including examples of how to handle API requests and responses, parse JSON data, and display data in a user-friendly interface.