[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 
 
# Load the dataset 
credit_customers = pd.read_csv("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 a list of specific column names for analysis from the dataset.
My template of code snippet is:

---BEGIN CODE TEMPLATE---

import pandas as pd 
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("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:
'''
import pandas as pd 
import pickle
 
# Load the dataset 
credit_customers = pd.read_csv("credit_customers.csv") 
 
# YOUR SOLUTION BEGIN:
