Explore-DF

📊 A powerful interactive Exploratory Data Analysis tool that launches a Streamlit interface for your pandas DataFrames with just one line of code.

Installation

pip install explore-df

Quick Start

import pandas as pd
from explore_df import analyze

# Load your data
df = pd.read_csv('your_data.csv')  # or any pandas DataFrame

# Launch the EDA interface
analyze(df)

That's it! The tool will automatically:

1. Launch a Streamlit server
2. Open your default web browser to the EDA interface
3. Display interactive visualizations and analysis of your data

Features

• 🚀 One-Line Setup: Just analyze(df) to start exploring
• 📊 Interactive Visualizations: Dynamic charts and plots
• 🔍 Data Quality Analysis:
  • Missing values detection
  • Outlier analysis
  • Data type validation
  • Consistency checks
• 📈 Automated Insights:
  • Distribution analysis
  • Correlation detection
  • Time series patterns
  • Text analysis
• 💡 Smart Suggestions: Get recommendations for data cleaning and transformation

Advanced Usage

from explore_df import analyze

# Specify a custom port
analyze(df, port=8502)

Requirements

• Python 3.9+

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

MIT License