[USER (data scientist)]: Cool, thanks! Now, what about those with 'own' as their housing type? Please generate the code with the output in dataframe type.
My template of code snippet is:

---BEGIN CODE TEMPLATE---

import pandas as pd  
import pickle
from decision_company import read_csv_file, fetch_column, logical_or, filter_by_condition, count_rows

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

print(f"owned_housing: {owned_housing}")  

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

---END CODE TEMPLATE---

[YOU (AI assistant)]: No problem! Here's the code to filter the clients with 'own' as their housing type:

# MY SOLUTION BEGIN:
