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Statistical Plots with Seaborn · Page 1 of 1

Correlation Heatmaps

Statistical Plots with Seaborn

Why Seaborn?

Matplotlib is powerful but verbose. Seaborn is built on top of Matplotlib and provides a high-level interface for drawing attractive statistical graphics.

The Correlation Matrix Heatmap

Before building an ML model, you must check how features correlate with each other.

  • 1.0: Perfect positive correlation
  • -1.0: Perfect negative correlation
  • 0.0: No correlation
import seaborn as sns
corr_matrix = df.corr()
sns.heatmap(corr_matrix, annot=True, cmap='coolwarm')

KDE Plots (Kernel Density Estimate)

A smoothed version of a histogram. Great for seeing the true distribution shape of your data.

main.py
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OUTPUT
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