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The underlying data was sourced from a MySQL database, queried using **MySQL Workbench**, and then modeled, cleaned, and visualized in Power BI using DAX measures and calculated columns.\n\n---\n\n## 📁 Dataset\n\nThe data was imported from a structured **MySQL database** (see `db_dump.sql`). It includes information related to:\n\n- Sales transactions\n- Products and categories\n- Customer details\n- Dates and order timelines\n\n---\n\n## 📚 Data Source\n\nThis project's data was sourced from the [Sales Insights Project](https://codebasics.io/resources/sales-insights-data-analysis-project) by [Codebasics](https://codebasics.io/).  \nThe original database dump (`db_dump.sql`) is publicly available for educational and non-commercial use.\n\n---\n\n## 📌 Key Features\n\n- 📅 **Monthly Sales Trends** – Time-series breakdown of revenue across months\n- 🛒 **Top Performing Products** – Based on total sales and order frequency\n- 🌍 **Geographical Sales Insights** *(if included in your data)*\n- 📈 **Category-wise Revenue Analysis**\n- 🎯 **KPIs** – Total Sales, Number of Orders, Average Order Value, Repeat Customers, etc.\n- 📊 **Interactive Filters** – Slicers by category, product, date range, and customer\n\n---\n\n## 🛠 Tools \u0026 Technologies Used\n\n- **Power BI Desktop**\n- **MySQL Workbench** (for querying the database)\n- **DAX (Data Analysis Expressions)** for calculated fields and measures\n\n---\n\n## 🧠 Challenges Faced\n\n- Exploring and mastering Power BI’s canvas layout for professional storytelling\n- Writing efficient and accurate **DAX formulas** to generate metrics\n- Designing a dashboard that is **visually intuitive** and **analytically rich**\n\n---\n\n## 💡 Learnings\n\nThis project enhanced my understanding of data visualization best practices, efficient data modeling, and the power of combining SQL with BI tools to extract interactive business insights.\n\n---\n\n## 📂 Project Structure\n\n```text\n├── Sales-Dashboard.pbix           # Power BI file\n├── db_dump.sql                    # MySQL database dump file\n└── README.md                      # Project overview\n```\n\n---\n\n### 📊 Dashboard Overview\n\n#### 📌 Page 1 – Overall Performance and Distribution\n![dashboard-preview1](https://github.com/user-attachments/assets/3f69de5a-9299-428a-a1de-0cc56591bdfd)\n\n\n#### 📌 Page 2 – Top Performing Products and Category Sold\n![dashboard-preview2](https://github.com/user-attachments/assets/9fc55786-55a9-4a91-8a45-f9ab0c49ed24)\n\n\n#### 📌 Page 3 – Revenue \u0026 Sales Distribution Over Time\n![dashboard-preview3](https://github.com/user-attachments/assets/0dc221a1-9f28-41d0-8f6b-e2773b949e5d)\n\n\n---\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fm-coder-umer%2Fsales-dashboard-power-bi-project","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fm-coder-umer%2Fsales-dashboard-power-bi-project","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fm-coder-umer%2Fsales-dashboard-power-bi-project/lists"}