{"id":26685181,"url":"https://github.com/coderbiswajit24/movie-recommendation-system-data","last_synced_at":"2026-01-06T02:51:08.297Z","repository":{"id":268503860,"uuid":"904529857","full_name":"Coderbiswajit24/movie-recommendation-system-data","owner":"Coderbiswajit24","description":"This PostgreSQL database is designed to store and manage a vast collection of movie data, enabling in-depth analysis and exploration of the film industry. 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It stores the relationship between movies and genres:\n\nmovie_id: A foreign key referencing the movie table.\ngenre_id: A foreign key referencing the genre table.\n# Keyword Table\nOverview:\nThis table stores keywords associated with movies:\n\nkeyword_id: A unique identifier for each keyword.\nkeyword_name: The keyword itself (e.g., \"space travel,\" \"superhero,\" \"dystopian future\").\n# Movie_Keywords Table\nOverview:\nThis junction table connects movies with their associated keywords:\n\nmovie_id: A foreign key referencing the movie table.\nkeyword_id: A foreign key referencing the keyword table.\n# Person Table\nOverview:\nThis table stores information about people involved in the movie industry, such as actors, directors, producers, and writers:\n\nperson_id: A unique identifier for each person.\nperson_name: The name of the person.\n# Movie_Cast Table\nOverview:\nThis junction table connects movies with their cast members:\n\nmovie_id: A foreign key referencing the movie table.\nperson_id: A foreign key referencing the person table.\ncharacter_name: The name of the character played by the actor.\ngender_id: A foreign key referencing the gender table.\ncast_order: The order of the actor in the cast.\n# Movie_Crew Table\nOverview:\nThis junction table connects movies with their crew members:\n\nmovie_id: A foreign key referencing the movie table.\nperson_id: A foreign key referencing the person table.\ndepartment_id: A foreign key referencing the department table.\njob: The job title of the crew member (e.g., Director, Producer, Writer).\n# Department Table\nOverview:\nThis table stores information about different departments in the movie industry:\n\ndepartment_id: A unique identifier for each department.\ndepartment_name: The name of the department (e.g., Directing, Writing, Production).\n# Production_Company Table\nOverview:\nThis table stores information about production companies:\n\ncompany_id: A unique identifier for each company.\ncompany_name: The name of the company.\n# Movie_Company Table\nOverview:\nThis junction table connects movies with their production companies:\n\nmovie_id: A foreign key referencing the movie table.\ncompany_id: A foreign key referencing the production_company table.\n# Country Table\nOverview:\nThis table stores information about countries:\n\ncountry_id: A unique identifier for each country.\ncountry_iso_code: The ISO 3166-1 alpha-2 code for the country.\ncountry_name: The name of the country.\n# Production_Country Table\nOverview:\nThis junction table connects movies with their production countries:\n\nmovie_id: A foreign key referencing the movie table.\ncountry_id: A foreign key referencing the country table.\n# Language Table\nOverview:\nThis table stores information about languages:\n\nlanguage_id: A unique identifier for each language.\nlanguage_code: The ISO 639-1 language code.\nlanguage_name: The name of the language.\n# Language_Role Table\nOverview:\nThis table stores information about different language roles in a movie:\n\nrole_id: A unique identifier for each language role.\nlanguage_role: The role of the language (e.g., Original language, English US, English UK).\n# Movie_Languages Table\nOverview:\nThis junction table connects movies with their languages and language roles:\n\nmovie_id: A foreign key referencing the movie table.\nlanguage_id: A foreign key referencing the language table.\nlanguage_role_id: A foreign key referencing the language_role table.\n\n## Data Analysis and Insights:- \nOnce the data is cleaned and loaded into the database, you can perform various analyses to gain valuable insights:\n\n1. **Popular genres:** Identify the most popular movie genres.\n2. **Top-grossing movies:** Find the highest-grossing movies of all time.\n3. **Prolific actors and directors:** Identify the most active actors and directors.\n4. **Movie trends:** Analyze trends in movie budgets, revenues, and popularity over time.\n5. **Collaborative relationships:** Discover frequent collaborations between actors and directors.\n\n## What the Project Does :- \nThis PostgreSQL database serves as a comprehensive repository for movie-related data. It stores information about movies, including:\n\n1. **Core Movie Details:** Title, release date, budget, revenue, runtime, overview, tagline, popularity, vote average, and vote count.\n2. **Genre and Keyword Associations:** Links movies to specific genres and keywords.\n3. **Cast and Crew:** Stores information about actors, directors, producers, and other crew members.\n4. **Production Companies and Countries:** Tracks the companies and countries involved in movie production.\n5. **Language Information:** Records the languages used in movies.\n\n## Why the Project is Useful\nThis movie database offers a valuable resource for various applications:\n\n1. **Data Analysis and Insights:**\nAnalyze trends in movie popularity, revenue, and genre preferences.\nIdentify successful movie formulas and patterns.\nExplore correlations between different movie attributes.\n2. **Machine Learning and AI:**\nTrain machine learning models to predict movie success or recommend movies to users.\nDevelop natural language processing models to analyze movie scripts and reviews.\n3. **Web and Mobile Applications:**\nBuild movie recommendation systems, search engines, and social media platforms.\nCreate data-driven movie review and analysis websites.\n4. **Educational Purposes:**\nUse the database for teaching database design, SQL querying, and data analysis.\n\n## Getting Started\nClone the Repository:\n1. [https://github.com/Coderbiswajit24/movie-recommendation-system-data]\nOR\n3. [git clone https://github.com/bbrumm/databasestar/tree/main/sample_databases/sample_db_movies/postgres]\nSet Up PostgreSQL Database:\nCreate a new PostgreSQL database.\nImport the SQL script provided in the repository to create the schema and tables.\nPopulate the database with movie data from various sources (e.g., TMDb API, IMDb, Box Office Mojo).\n\n## Getting Help: - \nFor assistance, you can:\n\n1. **Consult the README:** Refer to the project's README file for detailed instructions and explanations.\n2. **Explore the GitHub Repository:** Check the issues, pull requests, and discussions for insights and solutions.\n3. **Community Forums:** Seek help on online forums like Stack Overflow or Reddit.\n4. **Connect with me on Social Media:** Discuss the project and get help on platforms like LinkedIn [https://www.linkedin.com/in/biswajitsasmal].\n\n## Maintainers and Contributors: - \nThis project is primarily maintained by \n@bbrumm (Ben)\n@miqueldespuig ( Miquel Despuig)\n@KateKatze (Kate)\n@sfaut (sfaut). \nContributions from the open-source community are welcome. You can contribute by:\n\nReporting Issues: Identify and report bugs or feature requests.\nSubmitting Pull Requests: Contribute code improvements, bug fixes, or new features.\nProviding Feedback: Share your thoughts and suggestions on the project's design and functionality.\nBy collaborating and contributing to this project, you can help improve the database and its usefulness to the community.\n\n**License:-**\nThis project is licensed under the [MIT License](https://opensource.org/licenses/MIT).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcoderbiswajit24%2Fmovie-recommendation-system-data","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fcoderbiswajit24%2Fmovie-recommendation-system-data","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcoderbiswajit24%2Fmovie-recommendation-system-data/lists"}