README.md

📊 Matplotlib Practice Notebooks

This repository contains my hands-on practice and learning notebooks for Matplotlib, a powerful Python library used for data visualization.

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🚀 What is Covered

📌 Basics

• Introduction to Matplotlib

  • Understanding plotting workflow
  • Creating simple line plots

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🎨 Plot Customization

• Customizing plots (colors, markers, line styles)
• Using markers (Markers.png)
• Improving visual appearance of graphs

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🏷️ Labels & Grid

• Adding titles and axis labels
• Customizing fonts and styles
• Adding and styling grids

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📊 Different Types of Charts

• Bar Charts

  • Creating and customizing bar graphs

• Pie Charts

  • Representing categorical data visually

• Scatter Plots

  • Visualizing relationships between variables

• Histograms

  • Understanding data distribution

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📐 Advanced Visualization

• Subplots

  • Creating multiple plots in one figure
  • Layout management

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🔗 Integration with Pandas

• Plotting directly from Pandas DataFrames
• Real-world data visualization using data.csv

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📂 Project Structure

├── Introduction.ipynb
├── Matplotlib_Customization.ipynb
├── Matplotlib_labels.ipynb
├── Matplotlib_Grid.ipynb
├── Matplotlib_bar_charts.ipynb
├── Matplotlib_pie_chart.ipynb
├── Matplotlib_scatter_plots.ipynb
├── Matplotlib_histograms.ipynb
├── Matplotlib_subplots.ipynb
├── graph_using_Pandas_and_Matplotlib!.ipynb
├── Markers.png
├── data.csv
├── README.md
└── LICENSE

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🛠️ Tech Stack

• Python 🐍
• Matplotlib
• Pandas (for integrated plotting)
• Jupyter Notebook

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🎯 Purpose

This repository is part of my journey to become a Data Analyst. It demonstrates my ability to visualize and interpret data using different types of plots.

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⭐ Support

If you find this repository helpful, consider giving it a star ⭐