Python-Visualisations

Matplotlib and Seaborn as Python essentials

This repository contains tutorials, examples, and exercises on data visualization in Python using Matplotlib and Seaborn.
It is designed to help beginners and intermediate users create effective and insightful visualizations for Data Science and Analytics projects.

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📚 Libraries Covered

• Matplotlib → Basic plotting, customization, multiple plots, figure styling
• Seaborn → Statistical plots, color palettes, advanced visualization, data exploration

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📖 Topics Covered

📊 Matplotlib

Line, bar, scatter, and histogram plots

Plot customization (colors, labels, titles)

Subplots and figure layouts

Styles, themes, and annotations

📈 Seaborn

Distribution plots (histograms, KDEs)

Categorical plots (box, violin, swarm)

Regression and correlation plots

Heatmaps and clustering visualization

Styling with palettes and themes

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🛠️ Installation & Setup

Clone the repository:

git clone https://github.com/<your-username>/Python-Visualisations.git
cd Python-Visualisations

Create and activate a virtual environment (recommended):

python -m venv venv
source venv/bin/activate    # Mac/Linux
venv\Scripts\activate       # Windows

Install dependencies:

pip install -r requirements.txt

## 📓 **Usage**

Open Jupyter Notebook to explore tutorials:

jupyter notebook

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