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This repository is a comprehensive tutorial for creating statistical visualizations in Python using the Seaborn library. It includes a series of Jupyter Notebooks tailored to different types of plots, such as categorical, distribution, matrix-based, and regression visualizations.

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tanvirnwu/Seaborn--Python

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Seaborn--Python

Here are the full forms:

CP = Categorical Plots
DP = Distribution Plots
RP = Relational Plots
Regplot = Regression Plots

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This repository is a comprehensive tutorial for creating statistical visualizations in Python using the Seaborn library. It includes a series of Jupyter Notebooks tailored to different types of plots, such as categorical, distribution, matrix-based, and regression visualizations.

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