{"id":29916659,"url":"https://github.com/mi7773/advanced_sql_data_analytics_project","last_synced_at":"2026-04-18T14:04:48.093Z","repository":{"id":304368976,"uuid":"1018584459","full_name":"mi7773/advanced_sql_data_analytics_project","owner":"mi7773","description":"A hands-on SQL project simulating data analysis using fact and dimension tables, covering trends over time, cumulative metrics, performance breakdowns, segmentation, and reporting via SQL.","archived":false,"fork":false,"pushed_at":"2025-07-12T16:04:39.000Z","size":849,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2025-08-02T06:04:21.348Z","etag":null,"topics":["analytics","business-analytics","business-intelligence","data","data-analysis","data-analyst","data-analytics","database","query","reporting","sql","sql-queries","sql-query","sql-server","window-functions","window-functions-in-sql"],"latest_commit_sha":null,"homepage":"","language":"TSQL","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/mi7773.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"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":"2025-07-12T15:21:45.000Z","updated_at":"2025-07-12T16:11:56.000Z","dependencies_parsed_at":"2025-07-12T18:07:28.399Z","dependency_job_id":null,"html_url":"https://github.com/mi7773/advanced_sql_data_analytics_project","commit_stats":null,"previous_names":["mi7773/advanced_sql_data_analytics_project"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/mi7773/advanced_sql_data_analytics_project","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mi7773%2Fadvanced_sql_data_analytics_project","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mi7773%2Fadvanced_sql_data_analytics_project/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mi7773%2Fadvanced_sql_data_analytics_project/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mi7773%2Fadvanced_sql_data_analytics_project/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/mi7773","download_url":"https://codeload.github.com/mi7773/advanced_sql_data_analytics_project/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mi7773%2Fadvanced_sql_data_analytics_project/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":31971500,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-18T00:39:45.007Z","status":"online","status_checked_at":"2026-04-18T02:00:07.018Z","response_time":103,"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":["analytics","business-analytics","business-intelligence","data","data-analysis","data-analyst","data-analytics","database","query","reporting","sql","sql-queries","sql-query","sql-server","window-functions","window-functions-in-sql"],"created_at":"2025-08-02T05:01:15.458Z","updated_at":"2026-04-18T14:04:43.084Z","avatar_url":"https://github.com/mi7773.png","language":"TSQL","funding_links":[],"categories":[],"sub_categories":[],"readme":"# SQL Data Analysis Portfolio Project\n\nThis project is based on the YouTube tutorial  \n🎥 [SQL Data Analyst Portfolio Project | Like I Do in My Real Projects](https://www.youtube.com/watch?v=2jGhQpbzHes)\n\nIt simulates a real-world SQL data analysis scenario, covering different types of analysis and reporting.\n\n---\n\n## 📌 Objectives\n\nThe project demonstrates how to:\n\n- Analyze data over time\n- Perform cumulative and performance analysis\n- Execute part-to-whole and segmentation analysis\n- Generate actionable insights through SQL reports\n\n---\n\n## 🔍 Analysis Types\n\n- 📈 **Changes Over Time**\n- 📊 **Cumulative Analysis**\n- 🚀 **Performance Analysis**\n- 🧩 **Part-to-Whole Analysis**\n- 🔍 **Data Segmentation**\n\n---\n\n## 📋 Final Deliverables\n\nTwo comprehensive reports saved as **SQL views**:\n\n- **Customer Report** → `08_customer_report.sql`\n- **Product Report** → `09_report_customers_view.sql`\n\n---\n\n## 🛠️ SQL Techniques Used\n\n- Basic SQL: `SELECT`, `FROM`, `WHERE`, `GROUP BY`, `ORDER BY`\n- Intermediate: `CASE WHEN`, `JOINS`\n- Advanced: `Window Functions`, `CTEs`, `Subqueries`\n\n---\n\n## 📂 Files\n\n### `scripts/` — SQL Analysis \u0026 Reporting Scripts\n\n| File                                  | Description                                        |\n|---------------------------------------|----------------------------------------------------|\n| `00_init_database.sql`               | Initializes database schema and tables             |\n| `01_changes_over_time_analysis_month.sql` | Analyzes sales trends on a monthly basis     |\n| `02_changes_over_time_analysis_year.sql`  | Analyzes sales trends on a yearly basis      |\n| `03_cumulative_analysis.sql`         | Calculates cumulative metrics over time            |\n| `04_performance_analysis.sql`        | Evaluates sales performance across dimensions      |\n| `05_part_to_whole_analysis.sql`      | Analyzes sales contribution by segments            |\n| `06_data_segmentation_cost.sql`      | Segments data based on cost-related criteria       |\n| `07_data_segmentation_customer.sql`  | Segments data by customer characteristics          |\n| `08_customer_report.sql`             | Constructs customer report logic                   |\n| `09_report_customers_view.sql`       | Creates a view for the customer report             |\n| `10_product_report.sql`              | Constructs and saves the product report as a view  |\n\n### `dataset/` — Source Data Tables\n\n| File                          | Description                                |\n|-------------------------------|--------------------------------------------|\n| `gold.fact_sales.csv`         | Fact table containing transactional sales data |\n| `gold.report_customers.csv`   | Dimension table for customer information |\n| `gold.report_products.csv`    | Dimension table for product information  |\n\n---\n\n## 💬 Feedback\n\nIf you have suggestions for improvements or feedback, feel free to connect on [LinkedIn](https://www.linkedin.com/in/mi7773).\n\n---\n\n## 📎 Credits\n\nInspired by the tutorial:\n[SQL Data Analyst Portfolio Project | Like I Do in My Real Projects](https://www.youtube.com/watch?v=2jGhQpbzHes)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmi7773%2Fadvanced_sql_data_analytics_project","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmi7773%2Fadvanced_sql_data_analytics_project","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmi7773%2Fadvanced_sql_data_analytics_project/lists"}