This repository contains interactive Jupyter notebooks showcasing data visualization techniques using Matplotlib and Seaborn.
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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.
- Clone the repository or download the files directly.
- Open the notebooks using Jupyter Notebook or JupyterLab.
- Run the cells and explore various visualization techniques.
- Python 3.x
- matplotlib
- seaborn
- pandas
- jupyter
Install requirements using:
pip install matplotlib seaborn pandas jupyter
python matplotlib seaborn data-visualization eda jupyter-notebook plots
This project is licensed under the MIT License.