{"id":23150276,"url":"https://github.com/debjyotisaha/sql-projects","last_synced_at":"2025-10-09T21:04:00.823Z","repository":{"id":263742673,"uuid":"891313822","full_name":"DebjyotiSaha/SQL-Projects","owner":"DebjyotiSaha","description":"Designed and implemented SQL-based projects to analyse and manage datasets efficiently. 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The projects demonstrate various SQL skills, such as data manipulation, querying, and advanced data analysis techniques. These projects aim to showcase the ability to analyze data using SQL queries, create meaningful reports, and interpret the results for business insights.\n\n## Projects\n\n1. **Census Data Analysis**\n   - **Description:** Analyzing census data to uncover trends and insights.\n   - **Skills:** SQL joins, aggregations, subqueries, and filtering.\n   - **Key Concepts:** Population analysis, demographics, grouping, sorting.\n\n2. **Shark Tank India Analysis**\n   - **Description:** Analyze data from Shark Tank India to understand investment patterns, preferred industries, and investor behavior.\n   - **Skills:** Window functions, Joins, Aggregations\n   - **Key Concepts:** Insights on funding amounts, top investors, and emerging industries.\n\n## Folder Structure\n\n```\nSQL-Projects/\n│\n├── Census Data Analysis/\n│   ├── Solving Problem Statement with Data Analysis\n│   ├── Understanding the Data\n│   ├── Documentation\n│   └── Dataset\n│\n└── Shark Tank India Analysis/\n│   ├── Shark Tank India Analysis.sql\n│   ├── Dataset\n│   └── Documentation.txt\n│\n└── Zomato Customer Analysis/\n│   ├── Zomato Customer Analysis.sql\n│   ├── Documentation.txt\n│   └── Report - Zomato Customer Analysis.doc\n│\n```\n\n## Getting Started\n\n### Prerequisites\n\n- SQL Server or MySQL (or any database system you prefer).\n- A text editor or IDE (e.g., VSCode, SQL Workbench).\n\n### Installation\n\n1. Clone the repository:\n   ```bash\n   git clone https://github.com/DebjyotiSaha/SQL-Projects.git\n   ```\n\n2. Open your preferred SQL editor and connect to your database.\n\n3. Load the SQL files to begin analyzing the data.\n\n## Contributing\n\nFeel free to fork the repository and contribute improvements or additional projects. Ensure to follow good coding practices and provide proper documentation for each SQL script.\n\n## License\n\nThis project is licensed under the MIT License.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdebjyotisaha%2Fsql-projects","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdebjyotisaha%2Fsql-projects","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdebjyotisaha%2Fsql-projects/lists"}