📊 Dataset Analyzer

Dataset Analyzer is a powerful web-based tool that simplifies exploratory data analysis (EDA) for CSV and JSON datasets. Upload your data, visualize distributions, detect anomalies, and download summary reports — all in one intuitive dashboard.

---

🚀 Features

• ✅ Upload CSV or JSON datasets
• 📈 Interactive charts: histograms, scatter plots, box plots, correlation heatmaps
• 🔍 Automatic missing value detection & summary statistics
• ⚡ Fast in-browser analysis supported by Web Workers
• 📄 Exportable summary report (PDF format)

---

🧰 Tech Stack

• Frontend: React.js, Chart.js (or D3.js)
• Backend: Node.js, Express.js (optional API layer)
• Data Processing: Web Workers
• Utilities: Axios, FileSaver.js, react-dropzone

---

📦 Installation

1. Clone the repository

git clone https://github.com/rupeshkumar18123/Dataset_analyzer.git
cd Dataset_analyzer

2. Install dependencies

npm install

(Or, if there is a backend folder:)

cd backend
npm install
cd ../frontend
npm install

---

▶️ Running the App

Start the development server:

npm start

• If there’s a combined setup, the app should open automatically at http://localhost:3000.
• If separate: run both npm start in frontend and backend directories.

---

⚙️ Usage

1. Navigate to the web app.
2. Drag-and-drop or select your dataset.
3. Choose charts and analysis options.
4. View interactive visualizations.
5. Export summary PDF report via “Download Report” button.

---

⚠️ Requirements

• Node.js ≥ 12
• Modern browser (Chrome/Firefox/Edge/Safari)

---

📸 Screenshots

(Insert screenshots of data upload, chart views, and export actions here.)

---

💡 Future Enhancements

• 📑 Support for XLSX and SQL data
• 🗃️ Save/load analysis sessions
• 📊 Advanced EDA: clustering, PCA
• 🔧 Custom visualization palette & themes

---

🤝 Contributing

We welcome contributions!

1. Fork the repo
2. Create a branch: feature/your-feature-name
3. Commit your changes
4. Push to GitHub and open a PR

Please follow existing code style and write clear commit messages.

---

📄 License

This project is licensed under the MIT License.

---

🙋‍♂️ Author

Built with passion by Rupesh Kumar. Feel free to connect and share feedback!