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.
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.
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Introduction to Data Visualization
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Introduction to Matplotlib
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Key Terms and Concepts
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Understanding
pyplot
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Plotting:
- Line Charts
- Bar Charts
- Pie Charts
- Histograms
- Vector Graphs
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Subplots and Layout Adjustments
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Saving Figures (
.png
,.jpg
,.pdf
, etc.)
- Python
- Matplotlib
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.
“Visualization turns data into understanding — and understanding into action.”