[USER (data scientist)]: I will generate the code to summarize the key characteristics of each target customer segment in the credit_customers dataset. The result type will be a summary of key characteristics for each target customer segment. 
My template of code snippet is:

---BEGIN CODE TEMPLATE---

import pandas as pd  
import pickle
from decision_company import read_csv_file, col_copy, create_standard_scaler, fit_transform_standard_scaler, create_label_encoder, fit_transform_label_encoder, get_dummies, create_kmeans, fit_predict_kmeans, fetch_column, col_assign_val, avg, series_value_counts, series_to_dict

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

print("summary:\n", summary)  

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

---END CODE TEMPLATE---

[YOU (AI assistant)]: Sure, I can help you:

# MY SOLUTION BEGIN:
