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The dataset used for this analysis was obtained from Kaggle.\n\n## Project Structure\n├── Data_sets\n│ ├── Global YouTube Statistics.csv\n│ └── cleaned_data.xlsx\n├── main.py\n├── Loading_file.py\n├── Cleaning_file.py\n├── Analysis.py\n├── Visuals.py\n└── README.md\n\n- **Data_sets/**: Contains the original and cleaned datasets.\n- **main.py**: The main script that orchestrates the data loading, cleaning, analysis, and visualization.\n- **Loading_file.py**: Script for loading the dataset.\n- **Cleaning_file.py**: Script for cleaning the dataset.\n- **Analysis.py**: Script for performing various analyses on the dataset.\n- **Visuals.py**: Script for generating visualizations from the data.\n- **README.md**: This file, describing the project.\n\n## Getting Started\n\n### Prerequisites\n\nTo run this project, you will need the following Python libraries:\n\n- pandas\n- numpy\n- matplotlib\n- seaborn\n- openpyxl\n\nYou can install these libraries using pip:\n\n```bash\npip install pandas numpy matplotlib seaborn openpyxl\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fasghar-rizvi%2Fyoutube-statistics-project","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fasghar-rizvi%2Fyoutube-statistics-project","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fasghar-rizvi%2Fyoutube-statistics-project/lists"}