🔍 AutoEDA - Automated Exploratory Data Analysis

Transform your raw datasets into meaningful insights with just a few clicks!

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📋 Overview

AutoEDA is an intelligent Streamlit web application that automates exploratory data analysis. Upload your CSV dataset and get instant insights, visualizations, and professional reports without writing any code.

✨ Key Features

• 📁 Smart CSV Upload - Drag & drop with automatic validation
• 📊 Interactive Visualizations - Histograms, box plots, pie charts, time-series (Plotly)
• 💡 AI Insights - Null warnings, skewness detection, data quality alerts
• 📤 Multi-format Export - PDF reports, HTML reports, cleaned CSV, charts ZIP
• 🎨 Personal Branding - Custom About Me section and social links

🛠️ Tech Stack

• Frontend: Streamlit, HTML/CSS
• Data Processing: Pandas, NumPy
• Visualization: Plotly
• Reports: ReportLab
• Language: Python 3.8+

🚀 Quick Start

1. Clone and install

   git clone https://github.com/sanajjadhav15/AutoEDA.git

2. Create and Activate a Virtual Environment

   python -m venv venv
   venv\Scripts\activate

3. Install Dependencies

   pip install -r requirements.txt

4. Run the Streamlit App

   streamlit run app/main.py

5. Open browser → http://localhost:8501

📊 Usage

1. Upload your CSV file (up to 200MB)
2. View automated EDA insights and statistics
3. Explore interactive visualizations
4. Explore the smart insights about your data
5. Export results in your preferred format

📦 Requirements

streamlit>=1.28.0
pandas>=2.0.0
plotly>=5.17.0
reportlab>=4.0.0
numpy>=1.24.0

👨‍💻 Author

Sanaj Jadhav

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