[USER (data scientist)]: Great, now I need to put these two together. How do I do that? Please generate a combined DataFrame of rented and owned housing data.
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

print(f"rented_owned_housing: {rented_owned_housing}") 

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

---END CODE TEMPLATE---

[YOU (AI assistant)]: You can combine the rented_housing and owned_housing datasets using this code:
'''
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:
