🎨 Statistical Data Visualization — The Seaborn Way 📈

A hands-on journey into Seaborn, where statistics meet beautiful, modern, and meaningful visualizations — making data stories clearer than ever.

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🧠 Tech Stack Badges

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🧩 Mission Statement

This repository is my personal Seaborn Lab 🧪 where I explore the art of statistical data visualization.
From relational plots to heatmaps and regression models — every notebook helps me understand how Seaborn turns datasets into insights with simplicity and elegance.

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📂 Folder Structure

seaborn-lab/
│
└── Seaborn/
    ├── Seaborn_intro.ipynb
    ├── Relational_Plots.ipynb
    ├── Distribition_plot.ipynb
    ├── Categorical_plots.ipynb
    ├── Matrix_plot.ipynb
    ├── Regression_Plots.ipynb
    └── Multigridplots.ipynb

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🧮 Topics Covered

🔹 Introduction to Seaborn

• Understanding Seaborn’s architecture
• Built-in datasets
• Styles & themes (darkgrid, whitegrid, ticks)

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🔹 Relational Plots

Notebook	Description
Relational_Plots.ipynb	Covers scatterplot, lineplot, hue, style, size encodings.

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🔹 Distribution Plots

Notebook	Description
Distribition_plot.ipynb	histplot, kdeplot, distplot, rugplot, ECDFplot.

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🔹 Categorical Plots

Notebook	Description
Categorical_plots.ipynb	barplot, countplot, boxplot, violinplot, stripplot, swarmplot.

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🔹 Matrix & Heatmaps

Notebook	Description
Matrix_plot.ipynb	Heatmaps, correlation matrices, color palettes.

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🔹 Regression & Statistical Plots

Notebook	Description
Regression_Plots.ipynb	regplot, lmplot, trend lines, confidence intervals.

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🔹 Multi-grid & Complex Visuals

Notebook	Description
Multigridplots.ipynb	pairplot, jointplot, FacetGrid, multi-plot analysis.

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📚 Learning Resources

• 🔹 CampusX - Seaborn Part 1
• 🔹 CampusX - Seaborn Part 2

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🧰 Tools & Environment

• Python 3.x
• Seaborn
• Matplotlib
• Pandas
• NumPy
• Jupyter Notebook / Google Colab

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✨ Author

Shafaq Aslam
📍 Data Visualization & ML Enthusiast
Exploring Python libraries one step at a time and documenting everything for mastery and teaching.

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🔖 Tags for SEO

seaborn python data-visualization statistical-plots heatmap
pairplot jointplot regression categorical-plots jupyter-notebook
data-science machine-learning python-visualization analysis eda

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“Statistics become stories when you visualize them beautifully.”