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    U.S. Senate 1976–2018 | Harvard Dataverse / MEDSL

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    Sold by: Rearc 
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    This release contains information on the returns of United States Senate elections from 1976-2018. There's data for each county in the United States, how many votes were cast on a candidate who represented their political party (i.e. Democrat, Republican, etc.), and total votes for each county. Included in this data is also various information on each county.

    Overview

    The source code outlining how this product gathers, transforms, revises and publishes its datasets is available at https://github.com/rearc-data/mit-us-senate-1976-2018 .

    Main Overview

    TThis release contains information on the returns of United States Senate elections from 1976-2018. There's data for each county in the United States, how many votes were cast on a candidate who represented their political party (i.e. Democrat, Republican, etc.), and total votes for each county. Included in this data is also various information on each county.

    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 each column and the source.

    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 @ 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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    U.S. Senate 1976–2018 | Harvard Dataverse / MEDSL

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    This product is available free of charge. Free subscriptions have no end date and may be canceled any time.
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    Dimensions summary

    This listing uses a single pricing dimension called Product Access (Units). It grants you access to the dataset at no cost. There are no tiers, usage add-ons, or instance sizes to choose from. You subscribe once and consume the data. The vendor publishes free publicly available datasets on the AWS platform so you can pull them into your data pipeline without handling the sourcing and processing yourself.

    Top-of-mind questions for buyers

    One unit grants your subscription access to the full U.S. Senate 1976–2018 dataset. You subscribe once and consume the data. There are no per-record, per-query, or per-user charges. The single unit covers your access to the published dataset.
    No. This listing is free and uses one access dimension with no usage-based charges. Downloading more records, running more queries, or refreshing the dataset does not add software cost. Note that standard AWS storage or transfer fees for your own environment may still apply.
    The vendor sources free publicly available datasets, transforms them, and publishes them on the AWS platform. You pull the data into your pipeline without handling the sourcing and processing yourself. The vendor owns the life cycle of the published dataset.
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    Data sets (1)

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    You will receive access to the following data sets.

    Data set name
    Type
    Historical revisions
    Future revisions
    Sensitive information
    Data dictionaries
    Data samples
    U.S. Senate 1976–2018 | Harvard Dataverse/MEDSL
    All historical revisions
    All future revisions
    Not included
    Not included

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