This repository contains simple and essential data-visualization examples created using Python and Matplotlib. These examples are perfect for beginners who want to understand how to create common chart types and customize them.
What’s Included? ✔️ Line Plot
Shows trends or changes over time using connected data points.
✔️ Scatter Plot
Used to visualize relationships or patterns between two numerical variables.
✔️ Bar Chart
Helps compare categories or groups using rectangular bars.
✔️ Pie Chart
Displays proportions of categories in a circular format.
✔️ Subplots
Multiple plots displayed in one figure using plt.subplots().
🧪 Code Style
Each visualization includes:
Clean and beginner-friendly Python code
Use of matplotlib.pyplot
Axis labels, titles, and custom colors
Basic styling with tick_params, subplots, etc.
🎯 Purpose
This project is mainly for:
Students learning data visualization
Beginners practicing Matplotlib fundamentals
Quick reference for common plot types
🔧 Requirements
Python 3
Matplotlib
NumPy (optional)