python_module_matplotlib_seaborn

This repository contains interactive Jupyter notebooks showcasing data visualization techniques using Matplotlib and Seaborn.

Contents

• 1. data_visualization.ipynb
  Covers the basics of data visualization with Matplotlib, including line plots, bar plots, subplots, and customization.

• 2. Seaborn.ipynb
  Demonstrates advanced and statistical visualizations using Seaborn, such as barplots, boxplots, heatmaps, and categorical plots.

Getting Started

1. Clone the repository or download the files directly.
2. Open the notebooks using Jupyter Notebook or JupyterLab.
3. Run the cells and explore various visualization techniques.

Requirements

• Python 3.x
• matplotlib
• seaborn
• pandas
• jupyter

Install requirements using:

pip install matplotlib seaborn pandas jupyter

Keywords

python matplotlib seaborn data-visualization eda jupyter-notebook plots

License

This project is licensed under the MIT License.