{"id":27957460,"url":"https://github.com/echosingh/pyspark_movie_analysis","last_synced_at":"2026-04-25T12:35:30.521Z","repository":{"id":291851291,"uuid":"978993973","full_name":"EchoSingh/pySpark_movie_analysis","owner":"EchoSingh","description":"This project analyzes the MovieLens 20M dataset using PySpark, with interactive visualizations provided by Streamlit. 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Additionally, a Kaggle notebook offers more insights into the analysis.\n\n## Features\n- **Lowest Rated Movie**: Identify the movie with the lowest average rating.\n- **Top Users**: Determine the top users based on the number of ratings provided.\n- **Rating Distribution**: Visualize how ratings are distributed over time.\n- **Top Rated Movies**: List movies with high average ratings given a minimum number of votes.\n- **Controversial Movies**: Highlight movies with high rating variance.\n- **Average Rating by Genre**: Analyze average ratings across different movie genres.\n\n## Installation\n\n1. Clone the repository.\n2. Install dependencies from [requirements.txt](requirements.txt):\n    ```sh\n    pip install -r requirements.txt\n    ```\n## File Structure\n\n- `app.py` - Main Streamlit application.\n- `src/spark_utils.py` - Utility functions for PySpark data processing (contains tasks a, b, c, d).\n- `outputs/` - Contains images illustrating query results:\n  - `query(a).jpg` - Lowest rated movie.\n  - `query(b).jpg` - Top rating users.\n  - `query(c).jpg` - Ratings distribution over time.\n  - `query(d).jpg` - Top rated movies with minimum votes.\n- `requirements.txt` - List of project dependencies.\n- `LICENSE` - Project license.\n- `README.md` - This file.\n\n## Kaggle Notebook\n\nFor additional insights and analysis, check out my Kaggle notebook [here](https://www.kaggle.com/code/adi2606/spark-movie-analysis/notebook).\n\n## Usage\n\nTo run the application, execute the following command in your terminal:\n```sh\nstreamlit run app.py\n```\n\n## LICENSE\nThis project is licensed under the MIT License.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fechosingh%2Fpyspark_movie_analysis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fechosingh%2Fpyspark_movie_analysis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fechosingh%2Fpyspark_movie_analysis/lists"}