State Office-Level Returns 2016 | Harvard Dataverse / MEDSL

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.

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The source code outlining how this product gathers, transforms, revises and publishes its datasets is available at https://github.com/rearc-data/mit-state-office-level-returns-2016 .

Main Overview

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

Source: MIT Election Data and Science Lab
MIT Election Lab | Homepage
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Format: CSV

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 @ mitelectionlab@mit.edu .
If you have any other questions or feedback, send us an email at data@rearc.io .

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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State Office-Level Returns 2016 | Harvard Dataverse / MEDSL

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This listing is free. It uses a single pricing dimension, Product Access (Units), which grants you access to the dataset as a subscriber. There are no tiers, usage add-ons, or size-based options to compare. You get access to the data at no cost, published for easy and consistent consumption through the data exchange platform.

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What does one unit of Product Access grant me?

One unit of Product Access grants you subscriber access to the dataset. It is not billed per record, per query, or per user. A single subscription covers your access to the data, published through the data exchange platform for consistent consumption.

Does my cost change as I download or query more of the data?

No. Product Access is the only dimension and it is free. There are no usage meters, download limits, or overage charges tied to how much data you pull. Your access stays free regardless of how often you consume the dataset.

What is included with access, and what do I still handle myself?

Access covers the published dataset, delivered for consistent consumption. The vendor sources, transforms, and publishes the data for you. You handle building any downstream pipelines, analytics, or infrastructure that consume the data. Setup of your own tooling is not part of this listing.

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