speedyeda 0.1.0

🚀 One-line data exploration for developers & data scientists

🚀 FastEDA - One-Line Data Exploration

Instant insights, beautiful visualizations, and comprehensive summaries from datasets with just one command.

✨ Features

• 📊 Automatic Statistics - Mean, median, mode, min/max, std, unique counts, missing values
• 🔍 Missing Value Analysis - Highlights and suggestions for handling missing data
• 📈 Auto Visualizations - Histograms, boxplots, correlation heatmaps, and more
• 🎨 Beautiful Terminal Output - Colorful, emoji-rich displays using rich
• 🎭 Fun Mode - ASCII charts and emojis for screenshot-worthy results
• 📄 Export Reports - Save as PDF, HTML, or interactive dashboards
• 🔧 Presets - Pre-configured analysis for common use cases (ecommerce, surveys, finance)
• 🔌 Plugin System - Extend with custom visualizations and metrics
• 🤝 Interactive Mode - Guided column and plot selection
• 📦 Batch Processing - Analyze multiple datasets at once

🚀 Quick Start

Installation

pip install fasteda

Basic Usage

# Quick exploration
fasteda sales.csv

# Fun mode with emojis and colors
fasteda survey.xlsx --fun

# Use a preset for common tasks
fasteda products.csv --preset ecommerce

# Interactive mode
fasteda data.csv --interactive

# Batch processing
fasteda file1.csv file2.csv file3.csv

Python API

import pandas as pd
from fasteda import analyze, save_report

df = pd.read_csv("sales.csv")

# Generate EDA
results = analyze(df, fun=True)

# Save report
save_report(results, "sales_report.pdf")

📋 CLI Options

Flag	Description
--fun	Adds emojis and colorful output
--summary	Plain text summary with insights
--plots	Generate and save visualizations
--save <file>	Export report (PDF/HTML)
--interactive	Interactive column/plot selection
--preset <name>	Use preset (ecommerce, survey, finance)
--columns <cols>	Analyze specific columns only
--batch	Process multiple files
--quiet	Suppress terminal output

🎯 Presets

FastEDA includes built-in presets for common scenarios:

• ecommerce - Product analysis, sales trends, customer behavior
• survey - Response distributions, sentiment analysis, demographics
• finance - Time series, correlations, risk metrics

🔌 Plugins

Extend FastEDA with custom plugins:

from fasteda.plugins import register_plugin

@register_plugin("custom_viz")
def my_visualization(df):
    # Your custom analysis
    pass

📦 Supported Formats

• CSV (.csv)
• Excel (.xlsx, .xls)
• JSON (.json)
• Parquet (.parquet)

🤝 Contributing

Contributions welcome! Share your presets and plugins with the community.

📄 License

MIT License - see LICENSE file for details.