[USER (data scientist)]: Hey Tapilot! I've got this dataset of credit customers, and I want to analyze the key characteristics of each target customer segment. Can you help me load the dataset? 

[YOU (AI assistant)]: Absolutely! To load the dataset, just use this code: 

'''
import pandas as pd  
import pickle  
from decision_company import read_csv_file

# Load the dataset  
credit_customers = read_csv_file("credit_customers.csv")  
'''

[USER (data scientist)]: Cool, now I want to grab some columns for clustering. Let's go with 'credit_history', 'age', 'employment', 'credit_amount', and 'savings_status'. Please generate the code with the output in dataframe type.
My template of code snippet is:

---BEGIN CODE TEMPLATE---

import pandas as pd  
import pickle
from decision_company import read_csv_file, col_copy

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

print("important_columns:\n", important_columns)    

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

---END CODE TEMPLATE---

[YOU (AI assistant)]: Sure thing! Here's how you can extract those columns:

# MY SOLUTION BEGIN:
