Skip to content

Revision and practice of data visualization concepts using Matplotlib — part of my Data Science and AI learning journey.

Notifications You must be signed in to change notification settings

theadeelahmed/data-visualization-with-matplotlib

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

2 Commits
 
 
 
 

Repository files navigation

Data Visualization with Matplotlib

This repository contains my revision and practice work on data visualization using Matplotlib — one of the most powerful and widely used libraries in Python for creating static, animated, and interactive visualizations.

📊 Overview

In this notebook, I’ve explored the key concepts and functions of Matplotlib to better understand how data can be represented visually. The goal of this work is to strengthen my foundation in data visualization, which is an essential part of the Data Science and AI workflow.

🧠 Topics Covered

  • Introduction to Data Visualization

  • Introduction to Matplotlib

  • Key Terms and Concepts

  • Understanding pyplot

  • Plotting:

    • Line Charts
    • Bar Charts
    • Pie Charts
    • Histograms
    • Vector Graphs
  • Subplots and Layout Adjustments

  • Saving Figures (.png, .jpg, .pdf, etc.)

🧩 Tools and Libraries

  • Python
  • Matplotlib

🚀 Purpose

This repo is part of my ongoing Data Science and AI learning journey, where I continuously revise core libraries and visualization concepts to build a solid practical foundation.

💡 Author

Adeel Baloch Data Science & AI Student 📍 Karachi, Pakistan linkedin:@theadeelahmed

“Visualization turns data into understanding — and understanding into action.”

About

Revision and practice of data visualization concepts using Matplotlib — part of my Data Science and AI learning journey.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published