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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.
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.