Heatmaps for Correlation Matrices

Welcome to **Day 132**. If شما have 20 columns, شما can't look at 190 different scatter plots. You use a **Heatmap**.

What is a Correlation Matrix?

It's a table showing how every column correlates with every other column (-1 to 1).

# 1. Calculate the correlations

corr = df.corr()

# 2. Draw the Heatmap

sns.heatmap(corr, annot=True, cmap='coolwarm')

plt.show()

**Bright Red (Near 1)**: Strong positive relationship.

**Bright Blue (Near -1)**: Strong negative relationship.

**Pale colors (Near 0)**: No relationship.

This is the fastest way to "Mine" your data for interesting stories to tell your stakeholders.

Calculate a correlation matrix for a DataFrame and plot it using a heatmap.

*Day 133: Customizing Figure Size and Layout.*