2 datasets found
  1. 📕 Amazon E-Book Publishers

    • kaggle.com
    Updated Aug 14, 2023
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    mexwell (2023). 📕 Amazon E-Book Publishers [Dataset]. https://www.kaggle.com/datasets/mexwell/amazon-e-book-publishers
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 14, 2023
    Dataset provided by
    Kaggle
    Authors
    mexwell
    License

    http://www.gnu.org/licenses/old-licenses/gpl-2.0.en.htmlhttp://www.gnu.org/licenses/old-licenses/gpl-2.0.en.html

    Description

    From a newspaper article about analyzing amazon e-book sales by genre and publisher. Unfortunately, they do not have information on the book’s title or author. This collection includes 54,000 titles spanning across several genres and types of publishing companies, practically every book on every Amazon bestseller list. Along with publisher information, it also includes the book’s overall Amazon Kindle store sales ranking. This ranking is used to sort the books. Keep in mind that this data is NOT time-oriented; it is a collection of a bunch of different books, not a book over time.

    Acknowlegement

    Original Data

    CORGIS Dataset Project

    Foto von @felipepelaquim auf Unsplash

  2. d

    National Transportation Library Catalog.

    • datadiscoverystudio.org
    • data.amerigeoss.org
    • +1more
    do
    Updated May 23, 2017
    + more versions
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    (2017). National Transportation Library Catalog. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/4b04ca2eb0644d69bfd7f95cbffdb206/html
    Explore at:
    doAvailable download formats
    Dataset updated
    May 23, 2017
    Description

    description: The National Transportation Library Catalog is charged with improving the availability of transportation-related information needed by Federal, state, and local decision-makers. Its mission is to increase timely access to the information that supports transportation policy, research, operations, and technology transfer activities. NTL catalogs contain metadata about full-text reports, data, transportation Web sites, books, eBooks, journals, and other special collections in the digital repository and traditional ibrary collections. All NTL holdings are available full text online.; abstract: The National Transportation Library Catalog is charged with improving the availability of transportation-related information needed by Federal, state, and local decision-makers. Its mission is to increase timely access to the information that supports transportation policy, research, operations, and technology transfer activities. NTL catalogs contain metadata about full-text reports, data, transportation Web sites, books, eBooks, journals, and other special collections in the digital repository and traditional ibrary collections. All NTL holdings are available full text online.

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Click to copy link
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mexwell (2023). 📕 Amazon E-Book Publishers [Dataset]. https://www.kaggle.com/datasets/mexwell/amazon-e-book-publishers
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📕 Amazon E-Book Publishers

54k titles spanning accross several genres and types of publishing companies

Explore at:
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Aug 14, 2023
Dataset provided by
Kaggle
Authors
mexwell
License

http://www.gnu.org/licenses/old-licenses/gpl-2.0.en.htmlhttp://www.gnu.org/licenses/old-licenses/gpl-2.0.en.html

Description

From a newspaper article about analyzing amazon e-book sales by genre and publisher. Unfortunately, they do not have information on the book’s title or author. This collection includes 54,000 titles spanning across several genres and types of publishing companies, practically every book on every Amazon bestseller list. Along with publisher information, it also includes the book’s overall Amazon Kindle store sales ranking. This ranking is used to sort the books. Keep in mind that this data is NOT time-oriented; it is a collection of a bunch of different books, not a book over time.

Acknowlegement

Original Data

CORGIS Dataset Project

Foto von @felipepelaquim auf Unsplash

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