TutTrue / sorting-visualization

Sorting Visualization: A visual representation of various sorting algorithms to demonstrate the process of arranging elements in a specific order.

Sorting Visualization

This project is a web-based sorting visualization tool that allows users to visualize various sorting algorithms. It provides an interactive interface to understand how different sorting algorithms work and compare their performance.

Introduction

The "sorting-visualization" project aims to provide a visual representation of sorting algorithms to help users understand their inner workings. It is implemented as a web application using HTML, CSS, and JavaScript, making it accessible on different platforms and devices.

Features

• Visualize various sorting algorithms in action
• Adjustable speed to control the animation
• Step-by-step mode for a detailed understanding of the sorting process
• Randomize input array with custom size and range
• Highlight key steps and comparisons during sorting
• Compare the performance of different sorting algorithms side by side

Demo

A live demo of the "sorting-visualization" project can be found here.

Installation

To run the project locally, follow these steps:

1. Clone the repository: git clone https://github.com/TutTrue/sorting-visualization.git
2. Navigate to the project directory: cd sorting-visualization
3. Open the index.html file in your preferred web browser

Usage

Once the project is running in your web browser, you can:

1. Choose a sorting algorithm from the available options.
2. Adjust the speed using the Delay inputBox.
3. Set the desired array size and range.
4. Click the "Shuffle" button to generate a new array.
5. Click the "Start" button to visualize the sorting algorithm in action.

Supported Sorting Algorithms

The following sorting algorithms are currently supported:

• Selection Sort
• Bubble Sort
• Odd even Sort
• Cocktail Sort
• Insertion Sort
• Shell Sort
• Quick Sort
• Frequancy Sort
• Heap Sort

Feel free to contribute and add more sorting algorithms!

Contributing

Contributions are welcome! If you'd like to contribute to the project, please follow these steps:

1. Fork the repository.
2. Create a new branch: git checkout -b my-feature.
3. Make your changes and commit them: git commit -m 'Add some feature'.
4. Push to the branch: git push origin my-feature.
5. Submit a pull request.

License

This project is licensed under the MIT License. Please see the LICENSE file for more details.