Data Structure ?
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Data Structure ?
*The above analysis is the result extracted and analyzed by the system, and the specific actual data shall prevail.
README.md
文脈
最高の収益と大ヒットを誇る映画を作りたいですか？あなたは正しい場所に来ました！また、私たちのデータが教えてくれる映画に関する他の面白いことも探していきます。
内容
`タイトル、予算、収益、キャスト、監督、キャッチフレーズ、キーワード、ジャンル、公開日、上映時間` など、1万本以上の映画の観察データが含まれています。
謝辞
オリジナルのソースは [Kaggle][1] です。彼らに感謝します！！
着想
どんな質問に答えられますか？
1. 予算、収益、利益、上映時間が最も高い映画と最も低い映画はどれですか？そして、最も多くの映画が利益を上げたのはどの年ですか？
2. 最も収益性の高い映画はどんな共通点を持っていますか？
[1]: https://www.google.com/url?q=https://www.kaggle.com/tmdb/tmdb-movie-metadata&sa=D&ust=1521871477645000&usg=AFQjCNHG7yLJlvPgPye_HiQxsunXNzxhcw
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- 1. If any data on this site involves infringement, please contact us promptly, and we will arrange for the data to be taken offline.
- 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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