[USER (data scientist)]:For the seventh question, we want to find the common characteristics of clients who may benefit from debt consolidation in the filtered dataset. Please provide a summary of common characteristics, such as average credit amount, average loan duration, and most common employment status. Specifically, you can generate a summary, including a dataframe and pickle files, to report on the common characteristics of the 'stable_employment' subset of the 'credit_customers' dataset, specifically focusing on the average credit amount, average loan duration, and most common employment status.
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 the summary of common characteristics
print("Average credit amount:", average_credit_amount)

# save data
pickle.dump(average_credit_amount,open("./pred_result/average_credit_amount.pkl","wb"))
print("Average loan duration:", average_loan_duration)

# save data
pickle.dump(average_loan_duration,open("./pred_result/average_loan_duration.pkl","wb"))
print("Most common employment status:", most_common_employment)

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

---END CODE TEMPLATE---

[YOU (AI assistant)]: Sure, I can help you with that.
'''
import pandas as pd  
import pickle 
  
# Load the dataset  
credit_customers = pd.read_csv("credit_customers.csv")

# YOUR SOLUTION BEGIN:
