Chaos Coefficient

Welcome to Chaos Coefficient, a project dedicated to analyzing and visualizing the chaos in data.

Description

Chaos Coefficient is a Python-based project that uses advanced data analysis techniques to quantify the level of chaos in a dataset. The chaos coefficient is a measure of the unpredictability of a dataset. The higher the chaos coefficient, the more unpredictable the dataset.

Features

• Data analysis: Analyze your data to calculate the chaos coefficient.
• Visualization: Visualize the chaos in your data with beautiful and interactive charts.
• Customization: Customize the analysis parameters to suit your specific needs.

Installation

To install Chaos Coefficient, follow these steps:

1. Clone the repository: git clone https://github.com/yourusername/chaos-coefficient.git
2. Navigate to the project directory: cd chaos-coefficient
3. Install the required packages: pip install -r requirements.txt

Usage

To use Chaos Coefficient, run the main script with your data file as an argument:

python main.py your_data.csv