[USER (data scientist)]: Cool, now I want to see how these variables are correlated. Please generate the code with the output in matrix type.
My template of code snippet is:

---BEGIN CODE TEMPLATE---

import pandas as pd  
from sklearn.preprocessing import LabelEncoder
import pickle
from decision_company import read_csv_file, df_copy, encoder_instance, encode_column, corr, avg, fetch_column, bind_dataframe

# Load the dataset  
credit_customers = read_csv_file("credit_customers.csv")  
  
# YOUR SOLUTION BEGIN:
<code1>
[GENERATE 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:

# MY SOLUTION BEGIN:
