A great topic!

To implement the scatter plot matrix, you can use the pairplot function from Seaborn, which is a Python data visualization library built on top of Matplotlib. The pairplot function creates a matrix of pair plots for each column in the DataFrame.

Here's how you can do it:

import seaborn as sns
import matplotlib.pyplot as plt

sns.set_theme(style="ticks")
sns.pairplot(titanic_dataset, hue='Survived')
plt.show()

In this code:

  1. We import Seaborn and Matplotlib.
  2. We set the theme for the plot using sns.set_theme().
  3. We create a pair plot matrix for each column in the Titanic dataset using sns.pairplot(). The hue='Survived' argument allows us to color the points based on the 'Survived' column, which can help identify patterns or relationships between variables.
  4. Finally, we display the plot using plt.show().

When you run this code, it will generate a beautiful pair plot matrix that shows the relationship between each pair of columns in the Titanic dataset.

Remember to replace 'titanic_dataset' with your actual DataFrame name.