[USER (data scientist)]: Cool, now I want to see how these variables are correlated. Please generate a DataFrame showing the correlation matrix of the encoded dataset.
My template of code snippet is:

---BEGIN CODE TEMPLATE---

import pandas as pd 
from sklearn.preprocessing import LabelEncoder
import pickle
 
# Load the dataset 
credit_customers = pd.read_csv("credit_customers.csv") 
 
# YOUR SOLUTION BEGIN:
<code1>
[COMPLETE YOUR CODE] 
</code1>
# YOUR SOLUTION END

# Print the correlation matrix 
print("Correlation matrix:\n", correlation_matrix) 

# save data
pickle.dump(correlation_matrix, open("./pred_result/correlation_matrix.pkl","wb"))

---END CODE TEMPLATE---

[YOU (AI assistant)]: Sure thing! You can calculate the correlation matrix for the encoded dataset like this:
'''
import pandas as pd 
from sklearn.preprocessing import LabelEncoder
import pickle
 
# Load the dataset 
credit_customers = pd.read_csv("credit_customers.csv") 
 
# YOUR SOLUTION BEGIN:
