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    Infogroup US Historical Business Data

    • dataverse.harvard.edu
    • search.dataone.org
    Updated Apr 17, 2020
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    Infogroup (2020). Infogroup US Historical Business Data [Dataset]. http://doi.org/10.7910/DVN/PNOFKI
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Unique identifier
    https://doi.org/10.7910/DVN/PNOFKI
    Dataset updated
    Apr 17, 2020
    Dataset provided by
    Harvard Dataverse
    Authors
    Infogroup
    License

    https://dataverse.harvard.edu/api/datasets/:persistentId/versions/10.0/customlicense?persistentId=doi:10.7910/DVN/PNOFKIhttps://dataverse.harvard.edu/api/datasets/:persistentId/versions/10.0/customlicense?persistentId=doi:10.7910/DVN/PNOFKI

    Time period covered
    1997 - 2019
    Area covered
    United States
    Description

    InfoGroup’s Historical Business Backfile consists of geo-coded records of millions of US businesses and other organizations that contain basic information on each entity, such as: contact information, industry description, annual revenues, number of employees, year established, and other data. Each annual file consists of a “snapshot” of InfoGroup’s data as of the last day of each year, creating a time series of data 1997-2019. Access is restricted to current Harvard University community members. Use of Infogroup US Historical Business Data is subject to the terms and conditions of a license agreement (effective March 16, 2016) between Harvard and Infogroup Inc. and subject to applicable laws. Most data files are available in either .csv or .sas format. All data files are compressed into an archive in .gz, or GZIP, format. Extraction software such as 7-Zip is required to unzip these archives.

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Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Infogroup (2020). Infogroup US Historical Business Data [Dataset]. http://doi.org/10.7910/DVN/PNOFKI

Infogroup US Historical Business Data

Explore at:
17 scholarly articles cite this dataset (View in Google Scholar)
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Unique identifier
https://doi.org/10.7910/DVN/PNOFKI
Dataset updated
Apr 17, 2020
Dataset provided by
Harvard Dataverse
Authors
Infogroup
License

https://dataverse.harvard.edu/api/datasets/:persistentId/versions/10.0/customlicense?persistentId=doi:10.7910/DVN/PNOFKIhttps://dataverse.harvard.edu/api/datasets/:persistentId/versions/10.0/customlicense?persistentId=doi:10.7910/DVN/PNOFKI

Time period covered
1997 - 2019
Area covered
United States
Description

InfoGroup’s Historical Business Backfile consists of geo-coded records of millions of US businesses and other organizations that contain basic information on each entity, such as: contact information, industry description, annual revenues, number of employees, year established, and other data. Each annual file consists of a “snapshot” of InfoGroup’s data as of the last day of each year, creating a time series of data 1997-2019. Access is restricted to current Harvard University community members. Use of Infogroup US Historical Business Data is subject to the terms and conditions of a license agreement (effective March 16, 2016) between Harvard and Infogroup Inc. and subject to applicable laws. Most data files are available in either .csv or .sas format. All data files are compressed into an archive in .gz, or GZIP, format. Extraction software such as 7-Zip is required to unzip these archives.

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