DataIntegrationAPI
DataIntegrationAPI
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Language

Python

Tool Type

API

License

AM331-A3

Version

1.0.0
About the tool Responsible

Inter-American Development Bank

DataIntegrationAPI
What is it?

DataIntegrationAPI offers advanced functions for inserting, querying and displaying data, both spatial and non-spatial, in multidimensional databases suitable for big data. It is integrated with DataViewer to facilitate the creation of dynamic visualizations in web applications. Developed to improve the diagnosis of municipal data and support the Vem pro Centro Program, this API promotes the use of big data in smart cities, offering flexible tools for the construction and visualization of databases.
What problems does it solve?

DataIntegrationAPI facilitates the integration and visualization of large volumes of data, helping municipalities and organizations use big data to improve decision making and optimize data diagnostic processes.
How does the tool work?

Data Integration: DataIntegrationAPI offers tools to integrate data from different sources, making it accessible for analysis and visualization. API Access: Developers can often access the API to build custom data integration and visualization solutions. Customization: Users can customize DataIntegrationAPI to suit their specific data integration and visualization needs.

Open standards

Developed in Jupyter Notebook, this tool enables data integration and analysis in an interactive Python-based environment.
Sector
Reform or Modernization of the State
Functionality
Geolocation
Sustainable development goals
Sustainable cities and economies
Toolkits
IDB Tools
hands
Get the code for this project
Get the code

Connect with the Development Code team and discover how our carefully curated open source tools can support your institution in Latin America and the Caribbean. Contact us to explore solutions, resolve implementation issues, share reuse successes or present a new tool. Write to [email protected]

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Python Code for Data Processing Python Code for Data Processing

This image shows a code snippet in a Jupyter Notebook, where Python code is used for data processing, including obtaining, cleaning, and normalizing data for analysis.

 Water Access Heat Visualization Water Access Heat Visualization

This image shows a heatmap visualization within a Jupyter Notebook cell, representing the distribution of permanent private households with access to general water supply.

 Map Interface in Jupyter Notebook Map Interface in Jupyter Notebook

A map displays areas with shades and numbers representing the sum of children under 13. Markers with info icons highlight schools, nurseries. OpenStreetMap is used.
Interface capture – Use case in São Luís

Image of the implementation of the tool in the city of São Luís as a Smart City.

 See more Implementation workshop

Code4Dev Webinar: Discover DataIntegrationAPI

 See more IDB Project BR-T1496

IDB Technical Cooperation to support Brazilian cities with data-based tools.

 See more Implementation manual

Guide to support the diagnosis of town hall data with flexible visualization.

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