The Flipkart Store Sales Dashboard is a data visualization project created to analyze sales performance, customer behavior, and product trends using interactive dashboards.
This project helps stakeholders make data-driven decisions by transforming raw sales data into meaningful insights.
✔ Analyze overall sales performance
✔ Identify top-performing products & categories
✔ Understand customer purchase behavior
✔ Track profit, discount, and revenue trends
✔ Enable easy decision-making through visuals
| Tool | Purpose |
|---|---|
| 🧮 Excel / CSV | Data cleaning & preparation |
| 📊 Power BI | Dashboard creation |
| 🐍 Python | EDA & preprocessing |
| 📁 GitHub | Version control & sharing |
The dataset contains Flipkart store sales data including:
- 🆔 Order ID
- 📦 Product Category
- 🛍 Product Name
- 💰 Sales Amount
- 📉 Discount
- 📈 Profit
- 👥 Customer Segment
- 🌍 Region / City
- 📅 Order Date
✨ Key Performance Indicators (KPIs)
- Total Sales 💵
- Total Profit 📈
- Number of Orders 🧾
- Average Discount 📉
✨ Visualizations Included
- 📊 Sales by Category (Bar Chart)
- 🍩 Sales Split (Donut Chart)
- 📈 Monthly Sales Trend (Line Chart)
- 🌍 Regional Sales Analysis (Map)
- 🏆 Top Products by Revenue
📌 Electronics contribute the highest revenue 📌 Discounts have a direct impact on sales volume 📌 Certain regions outperform others consistently 📌 Seasonal spikes observed during sale months 📌 A small set of products drives majority of profits
1️⃣ Clone the repository git clone https://github.com/krishnaarora023/Flipkart_Store_Sales_Dashboard.git 2️⃣ Open the dashboard file (.pbix / .twbx) 3️⃣ Explore filters, slicers, and visuals 4️⃣ Use insights for analysis or presentations
✅ Hands-on experience with real-world sales data ✅ Improved data storytelling skills ✅ Strong understanding of KPIs & business metrics ✅ Dashboard design & visualization best practices
🔹 Add predictive sales analysis 🔹 Integrate real-time data 🔹 Build customer segmentation models 🔹 Deploy dashboard on cloud
Contributions are welcome! Feel free to fork, raise issues, or submit pull requests.
Krishna Arora 🎓 Data Analytics | Business Intelligence 🔗 GitHub: krishnaarora023
If you found this project helpful, don’t forget to give it a ⭐ on GitHub! Happy Learning 🚀📊