2 datasets found
  1. Hollywood Stars Faces

    • kaggle.com
    Updated Sep 7, 2023
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    Yang (2023). Hollywood Stars Faces [Dataset]. https://www.kaggle.com/datasets/yangyanpei/hollywood-stars-faces/versions/2
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 7, 2023
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Yang
    Area covered
    Hollywood
    Description

    Dataset

    This dataset was created by Yang

    Contents

  2. A

    ‘Hollywood Theatrical Market Synopsis 1995 to 2021’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Nov 15, 2021
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2021). ‘Hollywood Theatrical Market Synopsis 1995 to 2021’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/kaggle-hollywood-theatrical-market-synopsis-1995-to-2021-3384/latest
    Explore at:
    Dataset updated
    Nov 15, 2021
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Analysis of ‘Hollywood Theatrical Market Synopsis 1995 to 2021’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/johnharshith/hollywood-theatrical-market-synopsis-1995-to-2021 on 28 January 2022.

    --- Dataset description provided by original source is as follows ---

    https://images7.alphacoders.com/116/thumb-350-1165584.jpg" alt="Hollywood Films">

    Context

    This Dataset contains the data of market analysis built on The Numbers unique categorization system, which uses 6 different criteria to identify a movie. All movies released since 1995 are categorized according to the following attributes: Creative type (factual, contemporary fiction, fantasy etc.), Source (book, play, original screenplay etc.), Genre (drama, horror, documentary etc.), MPAA rating, Production method (live action, digital animation etc.) and Distributor. In order to provide a fair comparison between movies released in different years, all rankings are based on ticket sales, which are calculated using average ticket prices announced by the MPAA in their annual state of the industry report.

    Content

    The Dataset contains various files illustrating statistics such as annual ticket sales, highest grossers each year since 1995, top grossing creative types, top grossing distributors, top grossing genres, top grossing MPAA ratings, top grossing sources, top grossing production methods and the number of wide releases each year by various distributors.

    Acknowledgements

    The data was obtained from The Numbers website. Their theatrical market pages are based on the domestic theatrical market performance only. The domestic market is defined as the North American movie region (consisting of the United States, Canada, Puerto Rico and Guam). This data can be found from the website https://www.the-numbers.com/market/ with detailed analysis.

    Inspiration

    2020 and 2021 have been rough years for the movie industry, and being a huge movie fanatic inspired me to share a dataset showing the exponential growth of box office collections as well as ticket sales over time (and the decline after 2020 due to the Covid-19 pandemic) indirectly indicating the quality of modern day films. This Dataset can also be used to study the genres which attract audience the most and encourage one to create an amazing genre specific plot in order to take one step closer to becoming the next most successful director!

    --- Original source retains full ownership of the source dataset ---

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Share
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Click to copy link
Link copied
Close
Cite
Yang (2023). Hollywood Stars Faces [Dataset]. https://www.kaggle.com/datasets/yangyanpei/hollywood-stars-faces/versions/2
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Hollywood Stars Faces

Explore at:
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Sep 7, 2023
Dataset provided by
Kagglehttp://kaggle.com/
Authors
Yang
Area covered
Hollywood
Description

Dataset

This dataset was created by Yang

Contents

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