Data Visualization Exercises with Seaborn and Matplotlib

This repository contains a series of Jupyter Notebook exercises that focus on creating various types of data visualizations using Seaborn and Matplotlib. Each notebook explores different aspects of data visualization, from basic plots to more complex visual representations like heatmaps.

Table of Contents

1. Exercise: Hello Seaborn
2. Exercise: Line Charts
3. Exercise: Scatter Plots
4. Exercise: Bar Charts and Heatmaps
5. Exercise: Distributions
6. Exercise: Choosing Plot Types and Custom Styles
7. Exercise: Final Project

Getting Started

Prerequisites

• Python (3.x)
• Jupyter Notebook (or JupyterLab)
• Libraries used in these exercises:
  • Matplotlib
  • Seaborn
  • Pandas
  • NumPy

You can install the required libraries using the following command:

pip install matplotlib seaborn pandas numpy jupyter