data-visualization-with-matplotlib-and-seaborn's Introduction

Data Visualization with Matplotlib and Seaborn

This repository contains Python scripts for data visualization using Matplotlib and Seaborn libraries.

Overview

In this project, we explore the capabilities of Matplotlib and Seaborn for creating various types of data visualizations. Matplotlib is a powerful plotting library for Python, while Seaborn provides a high-level interface for drawing attractive and informative statistical graphics.

Files

matplotlib-practice.py: Python script demonstrating Matplotlib data visualization techniques. seaborn-practice.py: Python script showcasing Seaborn data visualization capabilities.

Dependencies

Ensure you have the following Python libraries installed:

Matplotlib
Seaborn

You can install them using pip:

pip install matplotlib seaborn

Usage

To run the Matplotlib and Seaborn scripts:

1. Clone the repository:

git clone https://github.com/yourusername/data-visualization.git

2. Navigate to the project directory:

cd data-visualization

3. Run the Matplotlib script:

python matplotlib-practice.py

4. Run the Seaborn script:

python seaborn-practice.py

Examples

Below are examples of data visualizations created using Matplotlib and Seaborn:

Contributing

Contributions are welcome! If you have any suggestions or improvements, please feel free to open an issue or submit a pull request.

License

This project is licensed under the MIT License.

Contact

For any questions or inquiries, please contact [email protected].

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