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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 correlation0.0: 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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