{"id":21279844,"url":"https://github.com/abderrahmane-stack/data-cleaning-mysql","last_synced_at":"2025-03-15T13:45:03.531Z","repository":{"id":251041708,"uuid":"836216700","full_name":"abderrahmane-stack/data-cleaning-mysql","owner":"abderrahmane-stack","description":"This project covers essential data cleaning techniques using MySQL, including identifying and handling missing data, correcting data inconsistencies, normalizing data, and ensuring data integrity. 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The key tasks include:\n\n- Identifying and handling missing data\n- Correcting data inconsistencies\n- Normalizing data\n- Ensuring data integrity\n\nPractical examples and methods are demonstrated to transform raw data into a clean, usable dataset. This project is essential for data analysts and database managers aiming to maintain high-quality data.\n\n## Data Source\n\nThe data used in this project is sourced from the Kaggle dataset [Layoffs 2022](https://www.kaggle.com/datasets/swaptr/layoffs-2022) by Swaptr.\n\n## Project Structure\n\n- `scripts/` - SQL scripts for data cleaning operations.\n- `data/` - Sample datasets used in the project.\n- `docs/` - Documentation and notes related to the project.\n\n## Getting Started\n\n### Prerequisites\n\n- MySQL Server installed\n- MySQL Workbench or any MySQL client for running scripts\n\n\n### Setup\n\n1. **Clone the Repository:**\n   ```sh\n   git clone https://github.com/yourusername/Data-Cleaning-MySQL.git\n\n2. Navigate to the Project Directory:\n   ```sh\n         cd Data-Cleaning-MySQL\n\n3. Load Sample Data:\nImport the sample data files from the data/ directory into your MySQL database.\n\n4. Run SQL Scripts:\nExecute the SQL scripts found in the scripts/ directory to perform various data cleaning operations.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fabderrahmane-stack%2Fdata-cleaning-mysql","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fabderrahmane-stack%2Fdata-cleaning-mysql","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fabderrahmane-stack%2Fdata-cleaning-mysql/lists"}