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📊 Superstore Sales Dashboard – Power BI Project\n\nWelcome to the **Superstore Sales Analysis** project — a sleek and insightful Power BI dashboard designed to transform raw retail data into clear business intelligence.\n\nThis project was created as part of a hands-on learning experience in **Power BI**, where I explored everything from data cleaning to advanced visualization.\n\n---\n\n## 🔍 What This Dashboard Covers\n\nThis dashboard provides a comprehensive breakdown of sales performance using the **Superstore dataset**, focusing on:\n\n- 📍 **Region-wise Sales \u0026 Profit**\n- 📈 **Monthly Sales Trends**\n- 💰 **Profit Margins**\n- 📦 **Top-level KPIs (Sales, Profit, Orders)**\n- 🧭 **Interactive Filters (Slicers)**\n- 🎯 **Key Insights and Business Recommendations**\n\n---\n\n## 🧹 Data Preparation Highlights\n\n- Removed unnecessary columns (e.g., Row ID)\n- Fixed **Order Date** format (MM-DD-YYYY → proper Date format)\n- Set correct data types for sales figures, dates, and categorical fields\n- Cleaned and standardized fields to ensure accuracy in reporting\n\n---\n\n## 💡 Key Takeaways\n\n- **West** region has the highest overall sales\n- **South** region shows strong profitability despite lower sales\n- Month-on-month sales trend reveals seasonal patterns\n- Filtering by Region enables targeted performance analysis\n\n---\n\n## 🛠️ Tools Used\n\n- **Power BI Desktop**\n- **Superstore Dataset** (from Kaggle)\n- DAX for calculated metrics like **Profit Margin**\n\n---\n\n## 👨‍💼 Purpose\n\nThis dashboard was created as a **Power BI learning task** using a real-world dataset, as part of my internship with **Elevate Labs**.  \nIt showcases how data visualization can reveal business insights that spreadsheets often hide.\n\n---\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdevlm7%2F2_data_analysis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdevlm7%2F2_data_analysis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdevlm7%2F2_data_analysis/lists"}