Data Structure ?
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Data Structure ?
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README.md
文脈
過去5～10年間、ネットフリックスは多くの視聴者を獲得しています。視聴者が増えるにつれて、番組の種類も増える可能性が高いです。しかし、人々はネットフリックスの番組のレーティング分布を理解しているでしょうか？
内容
1000の番組を1つずつ収集するのに膨大な時間がかかるため、収集方法にはネットフリックスの推薦エンジンを利用しました。推薦エンジンは、選択した番組に似た番組を推薦します。このデータセットの一部として、4つのレーティングから4つのビデオを選び（合計16の一意の番組）、それぞれのビデオから53の推薦番組を抽出しました。レーティングには、G、PG、TV - 14、TV - MAが含まれます。私はすべてのレーティング（例：TV - G、TV - Yなど）から抽出することは選びませんでした。
謝辞
このデータセットと調査記事は、[The Concept Center](http://theconceptcenter.com/simple - research - study - netflix - shows - analysis/)で見ることができます。
インスピレーション
私は妻と一緒にネットフリックスを見ていて、自分たちに問いかけました。なぜRとTV - MAレーティングの番組がこんなに多いのでしょうか？
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- 1. The data originates from internet data collection or provided by service providers, and this platform offers users the ability to view and browse datasets.
- 2. This platform serves only as a basic information display for datasets, including but not limited to image, text, video, and audio file types.
- 3. Basic dataset information comes from the original data source or the information provided by the data provider. If there are discrepancies in the dataset description, please refer to the original data source or service provider's address.
- 1. All datasets on this site are copyrighted by their original publishers or data providers.
- 1. If you need to repost data from this site, please retain the original data source URL and related copyright notices.
- 1. If any data on this site involves infringement, please contact us promptly, and we will arrange for the data to be taken offline.
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