SyntheticDataAlchemy 0.1.0

A package for generating synthetic data

SyntheticDataAlchemy

SyntheticDataAlchemy is a Python package for generating synthetic data that preserves the statistical properties and relationships of the original dataset.

Installation

You can install SyntheticDataAlchemy using pip:

pip install SyntheticDataAlchemy

Usage

Here's a simple example of how to use SyntheticDataAlchemy:

import pandas as pd
from SyntheticDataAlchemy import generate_synthetic_data

# Load your original data
original_df = pd.read_csv('your_data.csv')

# Generate synthetic data
synthetic_df = generate_synthetic_data(original_df, n_samples=1000)

# Save the synthetic data
synthetic_df.to_csv('synthetic_data.csv', index=False)

Features

• Generates synthetic data for both numerical and categorical features
• Preserves statistical properties of the original data
• Maintains relationships between features
• Handles missing data

Contributing

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

License

This project is licensed under the MIT License.