DataForge 📊

Drag-and-Drop CSV Analytics Dashboard with Interactive Charts

---

🔍 What is DataForge?

DataForge is a full-stack web application that transforms raw CSV files into interactive analytics dashboards. Upload any CSV, and instantly get statistics, distribution charts, and data exploration tools — all running locally in your browser.

✨ Features

• 📂 Drag & Drop Upload — Simply drag a CSV file to start
• 📈 Interactive Charts — Bar charts, histograms for any column
• 🔢 Auto Statistics — Mean, median, std dev, min, max for numeric columns
• 📋 Top-Values — Frequency counts for categorical columns
• 📋 Data Table — Paginated, scrollable raw data viewer
• 📦 JSON Export — Download processed data as JSON
• 🎨 Dark UI — Sleek cyberpunk-inspired interface

🚀 Quick Start

git clone https://github.com/deepmaha2006/DataForge.git
cd DataForge
pip install -r requirements.txt
python app.py
# Open http://localhost:5001

💻 How It Works

Upload CSV → Parse & Store → Auto-detect column types
     ↓              ↓                    ↓
  Numeric?   Compute stats        Show histogram
  Text?      Count frequencies    Show bar chart

📊 Supported Analysis

Column Type	Statistics Computed
Numeric	Count, Mean, Median, Std Dev, Min, Max, Sum
Categorical	Count, Unique values, Top-N frequencies, Missing

🗂️ Structure

DataForge/
├── app.py                 # Flask backend
├── templates/
│   └── dashboard.html     # Full UI (HTML/CSS/JS + Chart.js)
├── requirements.txt
├── uploads/               # Temporary upload storage
└── README.md

🔧 REST API

Endpoint	Description
POST /api/upload	Upload and parse CSV
GET /api/stats	Get column statistics
GET /api/chart-data?column=X	Get chart data for column
GET /api/data	Get paginated raw data
GET /api/export	Export as JSON

👤 Author

Deepesh Kumar Mahawar | @deepmaha2006