{"id":18351808,"url":"https://github.com/codeslash21/tmdb_data_analysis","last_synced_at":"2025-08-18T11:50:04.211Z","repository":{"id":171245270,"uuid":"372079036","full_name":"codeslash21/TMDB_data_analysis","owner":"codeslash21","description":"We analysed TMDB dataset which contains around 11000 movies details. 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Here we have analyse the depending factors of a successful movie and all other relationships between depending factors.\n\n## Getting Started:\n### Files:\n```\n├── data\n|   |\n│   └── tmdb-movies.csv           // dataset\n├── pkg\n    |\n    └── analysis_fn.py            // python module for the necessary functions\n├── TMDB_data_analysis.ipynb      // jupyter notebook used for analysis\n├── TMDB_data_analysis.html       // html format of jupyter notebook used for analysis\n├── environment.yml               // The dependencies we need to create environment\n├── README.md\n└── LICENSE\n````\n\n### Setup:\nTo create environment with necessary python libraries for this analysis run the following command\n```\nconda env create -f environment.yml\n```\n\nThis project is based on `tmdb-movies.csv` file which contains all the details about 11K movies. One can open this project in `Jupyter Notebook` using terminal or command promt typing the following command in the project directory\n```\njupyter notebook TMDB_analysis.ipynb\n```\n\n\n\n### License:\nThis project is under _MIT License_ see more in [LICENSE]()\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcodeslash21%2Ftmdb_data_analysis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fcodeslash21%2Ftmdb_data_analysis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcodeslash21%2Ftmdb_data_analysis/lists"}