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Data USA is a free platform that allows users to collect, analyze, and visualize shared U.S. government data. Launched on April 4, 2016, Data USA is the product of an ongoing partnership between , Massachusetts Institute of Technology (MIT) Collective Learning Group, and Datawheel.

The platform won a 2017 for Government & Civil Innovation, along with a 2016 Information is Beautiful Award.

On May 1, 2019, version 3.0 of the platform was released, which included a new "Viz Builder" tool, which allows users to build custom data visualizations using data from all of the data sources included on the site. This allows for cross-dimensional queries of the data, which were previously unavailable given the vertical-nature of the profile pages.

Data USA belongs to a larger family of data visualization and distribution platforms, created under the vision of César Hidalgo, which take open data sources that are traditionally siloed and collates them into a single data portal with narrative profiles and data exploration tools. These sites include The Observatory of Economic Complexity (OEC), DataChile, Data Africa, and Data KOREA.


Architecture

Back-end
Data USA consolidates data from 21 open data sources, cleaned and standardized into a database, and accessible via a public API. The ETL steps are currently written in python, and the API is constructed using mondrian-rest.


Front-end
The front-end of Data USA is written in HTML, CSS, and , using a React framework called Canon. The codebase, much like the underlying data itself, is made open-source on under a GNU Affero General Public License v3.0. The visualizations found on Data USA are created using D3plus, a library built on top of D3.js that enables quick visualization development by providing default styles and helper functions and classes.


See also
  • USAFacts.org
  • United States Census Bureau

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