Full TMDB Movies Dataset 2024 (1M Movies)

The TMDb (The Movie Database) is a comprehensive movie database that provides information about movies, including details like titles, ratings, release dates, revenue, genres, and much more.

This dataset contains a collection of 1,000,000 movies from the TMDB database.

> Dataset is **updated daily**. If you find this dataset valuable, don't forget to hit the upvote button! 😊💝

## Interesting Task Ideas:

1. Predict movie ratings based on features such as revenue, popularity, genre, and runtime.
2. Identify trends in movie release dates and analyze their impact on revenue.
3. Analyze the relationship between budget, revenue, and popularity to determine factors that contribute to a movie's success.
4. Build a recommendation system that suggests similar movies based on genres, production companies, and language.
5. Perform sentiment analysis on movie reviews to understand audience reactions.
6. Explore the impact of movie genres on popularity and revenue.
7. Investigate the correlation between runtime and audience engagement.
8. Identify successful production companies and analyze their strategies.
9. Utilize natural language processing techniques to extract meaningful insights from movie overviews.
10. Visualize movie popularity over time and identify popular genres in different periods.

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### Checkout my other datasets

[Clash of Clans Clans Dataset 2023 (3.5M Clans)](https://www.kaggle.com/datasets/asaniczka/clash-of-clans-clans-dataset-2023-3-5m-clans)

[Black-White Wage Gap in the USA Dataset](https://www.kaggle.com/datasets/asaniczka/black-white-wage-gap-in-the-usa-dataset)

[130K Kindle Books](https://www.kaggle.com/datasets/asaniczka/amazon-kindle-books-dataset-2023-130k-books)

[USA Unemployment Rates by Demographics & Race](https://www.kaggle.com/datasets/asaniczka/unemployment-rates-by-demographics-1978-2023)

[150K TMDb TV Shows](https://www.kaggle.com/datasets/asaniczka/full-tmdb-tv-shows-dataset-2023-150k-shows)

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Photo by [Onur Binay](https://unsplash.com/@onurbinay?utm_content=creditCopyText&utm_medium=referral&utm_source=unsplash) on [Unsplash](https://unsplash.com/photos/1tTpPS3NF6E?utm_content=creditCopyText&utm_medium=referral&utm_source=unsplash)

TMDb（电影数据库）是一个详尽的电影信息库，其中包含了关于电影的各种信息，诸如片名、评分、上映日期、收入、类型等丰富细节。本数据集汇集了来自TMDb数据库的100万部电影信息。

> 数据集每日更新。如若您认为此数据集具有价值，请勿忘点赞！😊💝

## 兴趣任务提议：
1. 基于电影收入、知名度、类型和时长等特征预测电影评分。
2. 分析电影上映日期的趋势及其对收入的影响。
3. 研究预算、收入和知名度之间的关系，以确定影响电影成功的关键因素。
4. 构建基于类型、制作公司和语言推荐的系统，为用户提供相似电影的推荐。
5. 对电影评论进行情感分析，以理解观众反响。
6. 探讨电影类型对流行度和收入的影响。
7. 研究时长与观众参与度之间的相关性。
8. 确定成功的制作公司并分析其策略。
9. 利用自然语言处理技术从电影概述中提取有意义的见解。
10. 可视化电影流行趋势，并识别不同时期的热门类型。

### 查看我的其他数据集
[Clash of Clans Clans Dataset 2023 (3.5M Clans)](https://www.kaggle.com/datasets/asaniczka/clash-of-clans-clans-dataset-2023-3-5m-clans)
[Black-White Wage Gap in the USA Dataset](https://www.kaggle.com/datasets/asaniczka/black-white-wage-gap-in-the-usa-dataset)
[130K Kindle Books](https://www.kaggle.com/datasets/asaniczka/amazon-kindle-books-dataset-2023-130k-books)
[USA Unemployment Rates by Demographics & Race](https://www.kaggle.com/datasets/asaniczka/unemployment-rates-by-demographics-1978-2023)
[150K TMDb TV Shows](https://www.kaggle.com/datasets/asaniczka/full-tmdb-tv-shows-dataset-2023-150k-shows)

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照片由[Onur Binay](https://unsplash.com/@onurbinay?utm_content=creditCopyText&utm_medium=referral&utm_source=unsplash)在[Unsplash](https://unsplash.com/photos/1tTpPS3NF6E?utm_content=creditCopyText&utm_medium=referral&utm_source=unsplash)提供