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State Office-Level Returns 2016 | Harvard Dataverse / MEDSL

You can subscribe to the AWS Data Exchange product utilizing the automation featured in this repository by visiting https://aws.amazon.com/marketplace/pp/prodview-awjgugom7gfgm.

Main Overview

This release contains information on the office-level returns for state elections in each of the fifty states of the United States for the year of 2016. Office-level refers to a state or local election office.

The included data is provided by Harvard Dataverse, which contains almost 100,000 datasets on various subjects. This specific dataset is maintained by the MIT Election Data and Science Lab (MEDSL). If you want to learn more or explore other datasets, visit the Harvard Dataverse homepage and the MEDSL homepage.

Data Source

This resource is presented in the CSV format. The dataset includes a codebook in which there is information on the columns and sources for the data. Additionally, there are also release and coverage notes provided.

More Information

Contact Details

  • If you find any issues with or have enhancement ideas for this product, open up a GitHub issue and we will gladly take a look at it. Better yet, submit a pull request. Any contributions you make are greatly appreciated ❤️.
  • If you are looking for specific open datasets currently not available on ADX, please submit a request on our project board here.
  • If you have questions about the source data, please contact MIT @ [email protected].
  • If you have any other questions or feedback, send us an email at [email protected].

About Rearc

Rearc is a cloud, software and services company. We believe that empowering engineers drives innovation. Cloud-native architectures, modern software and data practices, and the ability to safely experiment can enable engineers to realize their full potential. We have partnered with several enterprises and startups to help them achieve agility. Our approach is simple — empower engineers with the best tools possible to make an impact within their industry.

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