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interactive-sales-dashboard-powerbi

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This repository contains an interactive Sales Dashboard built using Power BI, covering Sales, Cost, Profit, Categories, States, and Brand-wise insights for the years 2020–2022.

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# 📊 Interactive Sales Dashboard (Power BI)

This repository contains an **Interactive Sales Dashboard** built using **Power BI**.  
It provides insights into **Sales, Cost, Profit, Category-wise performance, State-level sales**, and **Brand-wise contribution** for the years **2020–2022**.

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## 🚀 Key Features

### 🔹 1. Category-wise Sales Quantity  
Bar chart visualizing sales quantities across categories such as **Monitor, CPU, Mouse, SSD, RAM**, and more.

### 🔹 2. Supervisor Filter Panel  
Image-based slicer for quick filtering based on supervisors.

### 🔹 3. State-wise Sales Map  
Interactive map displaying India’s region-wise sales.

### 🔹 4. Brand-wise Contribution  
Pie chart showcasing the contribution of popular brands such as **Intel**, **Samsung**, **Nvidia**, **Dell**, **Acer**, **Gigabyte**, and others.

### 🔹 5. Interactive KPI Cards  
- Total Sales  
- Total Cost  
- Total Profit  
- Total Quantity  
- Total Transactions

All KPIs update dynamically with slicers.

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## 📸 Dashboard Preview

![Dashboard Preview](https://raw.githubusercontent.com/darpana-chauhan/interactive-sales-dashboard-powerbi/main/dashboard%20power%20bi%20image.png)

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## 🎥 Dashboard Video Demo

Click the link below to watch the full dashboard demo:

👉 **Video Demo (Streamable Link):**  
*[Paste your Streamable video link here](https://streamable.com/9i03ex)*

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## 📁 Files in This Repository

| File Name | Description |
|----------|-------------|
| `sales.pbix` | Main Power BI dashboard file |
| `Complete_Techno_Sales_Data-2.xlsx` | Excel dataset used to create the dashboard |
| `dashboard power bi image.png` | Dashboard preview image |
| `README.md` | Project documentation |

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## 🛠️ Tools & Technologies Used

- **Power BI Desktop**
- **Power Query**
- **DAX (Data Analysis Expressions)**
- **Excel Dataset**
- **Interactive Filters & Visuals**

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## 📊 Key Insights

- Top-performing categories: **Monitor, CPU, Mouse, HDD, SSD**
- Highest brand contributions from: **Intel, Samsung, Nvidia**
- Strongest sales regions visible through map insights
- KPIs provide dynamic real-time analysis for business decisions

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## 📦 How to Open the Dashboard

1. Download **`sales.pbix`**
2. Open using **Power BI Desktop**
3. Dataset will auto-load (already embedded)
4. Use slicers to explore insights interactively

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## 🌟 Future Enhancements

- Year filter (2020–2022)
- Profit Margin & ROAS visuals
- Drill-through detail pages
- Fully automated publishing using Power BI Service

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## 👩‍💻 Author

**Darpana Chauhan**  
Aspiring Data Scientist | BCA Student  
GitHub: https://github.com/darpana-chauhan

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⭐ *If you find this project useful, feel free to star the repository!*

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