{"id":23979332,"url":"https://github.com/nagar2nd/amazon-sales-analysis-mysql","last_synced_at":"2026-02-11T18:03:22.220Z","repository":{"id":256545549,"uuid":"855711536","full_name":"Nagar2nd/Amazon-Sales-Analysis-MySQL","owner":"Nagar2nd","description":"This project analyzes sales data from Amazon to extract insights related to product pricing and reviews. 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The analysis aims to facilitate data-driven decision-making by identifying trends and patterns in the sales data.\n\n## Dataset\n\n**Dataset Link** : https://drive.google.com/file/d/1hJOXNpOUXOpyjsrBt1O8MyIJHfWgzakS/view\nThe dataset includes information about various products, including their actual price, discounted price, category, and customer reviews.\n\n## Queries\n\nThe analysis involves executing the following SQL queries:\n\n1. **List all products with a discounted price below ₹500.**\n2. **Find products with a discount percentage of 50% or more.**\n3. **Retrieve all products where the name contains the word \"Cable.\"**\n4. **Display the difference between the average of the actual price and the discounted price for each product.**\n5. **Query reviews that mention \"fast charging\" in their content.**\n6. **Identify products with a discount percentage between 20% and 40%.**\n7. **Find products that have an actual price above ₹1,000 and are rated 4 stars or above.**\n8. **Find products where the discounted price ends with a 9.**\n9. **Display review contents that contain words like worst, waste, poor, or not good.**\n10. **List all products where the category includes \"Accessories.\"**\n\n*For the complete SQL queries, please refer to the attached PDF document in the project repository.*\n\n## Technologies Used\n\n- SQL for data querying and analysis\n- Google Drive for dataset and video storage\n- GitHub for version control and collaboration\n\n## Installation\n\nTo run the SQL queries locally, follow these steps:\n\n1. Download the dataset from the provided link.\n2. Import the dataset into your SQL database management system.\n3. Execute the SQL queries to perform the analysis.\n\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnagar2nd%2Famazon-sales-analysis-mysql","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fnagar2nd%2Famazon-sales-analysis-mysql","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnagar2nd%2Famazon-sales-analysis-mysql/lists"}