TMDB Top-Rated Movies Dataset For EDA & ML (10K+)

This dataset contains top-rated movies data collected from The Movie Database (TMDB) API using Python. It includes 10,000+ movies with structured metadata suitable for Exploratory Data Analysis (EDA), data visualization, and machine learning projects.

Each record represents a single movie along with key attributes such as original title, language, popularity score, vote count, and release date. The dataset is clean, well-structured, and ready for immediate use in analytics and ML workflows.

The data reflects real-world movie information and can be used to analyze:

• Trends in movie popularity over time
• Voting patterns and audience engagement
• Language distribution of top-rated films
• Relationships between popularity and vote counts
• Feature engineering for recommendation systems

Minor missing values may exist (e.g., a small number of missing release dates), which is common in real API-sourced datasets and suitable for data cleaning practice.

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Dataset Features

• Source: TMDB API
• Records: 10,000+ movies
• Format: CSV
• Columns: Movie ID, title, language, popularity, release date, vote count
• Use cases: EDA, ML, visualization, learning projects

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Ideal For

• Data science beginners & students
• Exploratory Data Analysis (EDA)
• Machine learning practice
• Movie analytics & trend analysis
• Kaggle notebooks and competitions