{"id":29916788,"url":"https://github.com/vimlesh-gupta/blinkit_data_analytics_project","last_synced_at":"2026-05-06T17:35:31.384Z","repository":{"id":304379463,"uuid":"1018006646","full_name":"vimlesh-gupta/Blinkit_Data_Analytics_Project","owner":"vimlesh-gupta","description":"End-to-end Blinkit data analytics project using Python, SQL Server \u0026 Power BI","archived":false,"fork":false,"pushed_at":"2025-07-22T18:34:15.000Z","size":13708,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2025-07-22T20:26:36.569Z","etag":null,"topics":["blinkit","data-analysis","eda","pandas","powerbi","python","sql-server"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/vimlesh-gupta.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2025-07-11T12:56:26.000Z","updated_at":"2025-07-22T18:34:18.000Z","dependencies_parsed_at":null,"dependency_job_id":"c1bfa1e7-8fa8-4d30-a187-e92365295e1c","html_url":"https://github.com/vimlesh-gupta/Blinkit_Data_Analytics_Project","commit_stats":null,"previous_names":["vimlesh-gupta/blinkit","vimlesh-gupta/blinkit_data_analytics_project"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/vimlesh-gupta/Blinkit_Data_Analytics_Project","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vimlesh-gupta%2FBlinkit_Data_Analytics_Project","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vimlesh-gupta%2FBlinkit_Data_Analytics_Project/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vimlesh-gupta%2FBlinkit_Data_Analytics_Project/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vimlesh-gupta%2FBlinkit_Data_Analytics_Project/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/vimlesh-gupta","download_url":"https://codeload.github.com/vimlesh-gupta/Blinkit_Data_Analytics_Project/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vimlesh-gupta%2FBlinkit_Data_Analytics_Project/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":268337977,"owners_count":24234538,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","status":"online","status_checked_at":"2025-08-02T02:00:12.353Z","response_time":74,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["blinkit","data-analysis","eda","pandas","powerbi","python","sql-server"],"created_at":"2025-08-02T05:01:33.904Z","updated_at":"2026-05-06T17:35:31.356Z","avatar_url":"https://github.com/vimlesh-gupta.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# 📊 Blinkit Data Analytics Project\n\nAn end-to-end data analytics project analyzing Blinkit's operational data using **Python**, **SQL Server**, and **Power BI**. This project explores business insights from order, delivery, and customer datasets to help improve decision-making.\n\n---\n\n## 🔧 Tools \u0026 Technologies\n\n* **Python**: `pandas`, `matplotlib`, `seaborn`, `python-dotenv`, `pyodbc`\n* **SQL Server**: Data extraction and transformation via SQL queries\n* **Power BI**: Dashboard creation and visual analytics\n\n---\n\n## ❓ Business Questions Answered\n\n* What are the top 10 most ordered products?\n* How does delivery time impact customer ratings?\n* Which days and times see the highest order volumes?\n* What are the top-performing cities by number of orders?\n* Which delivery partners have the lowest average delivery time?\n* What is the distribution of customer ratings?\n\n---\n\n## 📁 Folder Structure\n\n```\nBlinkit_Data_Analytics_Project/\n├── data/                      # Raw CSVs\n├── outputs/visuals/           # Python-generated charts\n├── reports/                   # Power BI files\n│   └── Blinkit Dashboard.pdf\n├── src/                       # Modular Python scripts\n│   ├── eda/\n│   │   ├── load_data.py\n│   │   ├── clean_transform.py\n│   │   ├── eda.py\n│   │   ├── visualizations.py\n│   │   └── main_csv_analysis.py\n│   └── sql_analytics/\n│       ├── queries_sql.py\n│       ├── query_runner.py\n│       ├── eda_sql.py\n│       ├── visualization_sql.py\n│       └── main_sql_analysis.py\n├── .env.example.txt           # Sample environment variables\n├── requirements.txt           # Python dependencies\n├── LICENSE                    # License information\n└── README.md\n```\n\n---\n\n## 🔐 Environment Setup\n\n### 1. Install Dependencies\n\n```bash\npip install -r requirements.txt\n```\n\n### 2. Configure Environment Variables\n\nCreate a `.env` file based on `.env.example.txt`:\n\n```env\nSERVER=your_sql_server_instance\nDATABASE=your_database_name\nDRIVER=your_odbc_driver_name\n```\n\n---\n\n## ▶️ How to Run the Project\n\n### CSV-Based Analysis:\n\n```bash\npython src/eda/main_csv_analysis.py\n```\n\n### SQL-Based Analysis:\n\n```bash\npython src/sql_analytics/main_sql_analysis.py\n```\n\nBoth scripts will:\n\n* Load data\n* Clean and transform datasets\n* Run EDA and generate visualizations\n* Save charts to `outputs/visuals/`\n\n---\n\n## 📈 Power BI Dashboard\n\nInteractive dashboard developed in Power BI to visualize:\n\n* Top Products\n* Ratings Distribution\n* City-Wise Orders\n* Delivery Time Insights\n\n\n---\n\n## 🧰 Sample SQL Queries\n\n```sql\n-- Average delivery time by rating\nSELECT rating, AVG(delivery_time) AS avg_time\nFROM orders\nGROUP BY rating;\n\n-- Top 10 ordered products\nSELECT product_name, COUNT(*) AS total_orders\nFROM order_items\nGROUP BY product_name\nORDER BY total_orders DESC\nOFFSET 0 ROWS FETCH NEXT 10 ROWS ONLY;\n```\n\n---\n\n## 📊 Sample Output Charts (Python)\n\n* `Top_10_Products.png`\n* `Delivery_Time_vs_Rating.png`\n* `Citywise_Avg_Delivery_Time.png`\n* `Order_Count_By_City.png`\n\nAll charts saved to `outputs/visuals/`\n\n---\n\n## 📄 License\n\n© 2025 Vimlesh Gupta. This project is open-source and available under the MIT License.  \nYou are free to use, modify, and distribute it with proper attribution.","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvimlesh-gupta%2Fblinkit_data_analytics_project","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fvimlesh-gupta%2Fblinkit_data_analytics_project","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvimlesh-gupta%2Fblinkit_data_analytics_project/lists"}