📊 Interactive Data Dashboard

A no-code data visualization tool built with Streamlit and Plotly Express. Upload a dataset and instantly explore it through interactive charts and summary statistics.

Demo Link: https://appdashboard-abtguasbfzyzbpovozf26m.streamlit.app

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🚀 Features

• 📁 File Upload — Supports CSV and Excel (.xlsx) files
• 📈 6 Chart Types — Bar, Histogram, Line, Scatter, Pie, Heatmap
• ⚙️ Dynamic Controls — Axis selectors auto-adjust based on chart type
• 🥧 Pie Aggregations — Count or Sum modes
• 🔥 Correlation Heatmap — Auto-detects numeric columns
• 🗂️ Data Preview — Head and Describe tabs for quick data inspection

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🛠️ Tech Stack

Library	Purpose
Streamlit	UI & app framework
Plotly Express	Interactive charts
Pandas	Data handling
NumPy	Numerical support

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⚙️ Installation

# Clone the repository
git clone https://github.com/your-username/dashboard.git
cd dashboard

# Install dependencies
pip install streamlit plotly pandas numpy

# Run the app
streamlit run app.py

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📖 Usage

1. Run the app and open it in your browser (http://localhost:8501)
2. Upload a CSV or Excel file using the file uploader
3. Select a chart type from the dropdown
4. Choose your X and Y axis columns
5. View the interactive chart and data preview side by side

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📂 Project Structure

dashboard/
├── app.py        # Main Streamlit application
└── README.md     # Project documentation

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📸 Preview

Upload a CSV → Select a chart → Explore your data instantly.

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📄 License

This project is open source and available under the MIT License.