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📊 Matplotlib & Seaborn Tutorials

This repository contains my practice notebooks for learning Matplotlib and Seaborn, two powerful libraries for data visualization in Python.

📂 Contents

  • 01_IntroductiontoMatplotlib.ipynb – Basics of Matplotlib and simple plots
  • 02_BarPlot.ipynb – Creating bar plots
  • 03_PieCharts.ipynb – Visualizing data using pie charts
  • 04_Stack_Plots.ipynb – Stack plots for cumulative data visualization
  • 05_Histogram.ipynb – Plotting histograms for data distribution
  • 06_ScatterPlots.ipynb – Scatter plots for relationships between variables
  • 07_Subplots.ipynb – Multiple plots in a single figure
  • 08_Seaborn-Intro.ipynb – Introduction to Seaborn for statistical visualization
  • 09_Seaborn-Plots.ipynb – Advanced Seaborn plots (heatmaps, pairplots, etc.)
  • matplotlib_demo.py – Python script showcasing Matplotlib usage

▶️ How to Run

  1. Clone the repository:
    git clone https://github.com/S07singh/Matplotlib-and-Seaborn.git

About

A complete guide to data visualization with Matplotlib and Seaborn. Contains Jupyter notebooks and Python scripts covering bar plots, pie charts, histograms, scatter plots, subplots, and Seaborn visualizations for better insights from data.

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