[USER (data scientist)]: Alright, now I want to create four groups based on whether they're young customers and have good credit history. Please create four groups of series based on combinations of young customer status and good credit history in the 'credit_customers' dataset.
My template of code snippet is:

---BEGIN CODE TEMPLATE---

import pandas as pd 
import pickle
from decision_company import read_csv_file, 

# please import the necessary private functions from decision_company first

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

# save data
pickle.dump(group1,open("./ref_result/group1.pkl","wb"))

# save data
pickle.dump(group2,open("./ref_result/group2.pkl","wb"))

# save data
pickle.dump(group3,open("./ref_result/group3.pkl","wb"))

# save data
pickle.dump(group4,open("./ref_result/group4.pkl","wb"))

---END CODE TEMPLATE---

[YOU (AI assistant)]: Alright, let's create the four groups as follows:
'''
import pandas as pd 
import pickle
from decision_company import read_csv_file, 

# please import the necessary private functions from decision_company first

# Load the dataset 
credit_customers = read_csv_file("credit_customers.csv") 
 
# YOUR SOLUTION BEGIN:
