python-data-visualization-best-practices

Clean and minimal Python data visualization project following PEP 8 and best practices, designed for code review and feedback.

📊 Random Data Visualization

A professional Python package for generating and visualizing random data with Matplotlib. Perfect for data science demonstrations, teaching statistics, or creating sample visualizations for reports and presentations.

✨ Features

• 🎯 Configurable Data Generation: Generate random data with customizable parameters
• 🎨 Professional Visualizations: Create publication-quality plots with multiple color schemes
• 📊 Statistical Insights: Automatic calculation and display of statistical metrics
• 📱 Jupyter Integration: Seamless display in notebooks with inline images
• 💾 Export Capabilities: Save visualizations as high-resolution images
• 🎛️ Flexible Configuration: Extensive customization options via dataclasses
• 🧪 Well-Tested: Comprehensive test suite with high coverage
• 📝 Full Documentation: Detailed docstrings and type hints

🚀 Quick Start

Installation

# Clone the repository
git clone https://github.com/yourusername/random-data-visualization.git
cd random-data-visualization

# Install dependencies
pip install -r requirements.txt

# Install package in development mode
pip install -e .