[USER (data scientist)]: Hi Tapilot, I need your help with analyzing a dataset called "credit_customers.csv". Can you help me load it using pandas? 

[YOU (AI assistant)]: Sure, I can help you with that. Here's the code to load the dataset using proper functions from decision_company like this:
'''
import pandas as pd   
import pickle
from decision_company import read_csv_file

# Load the dataset   
credit_customers = read_csv_file("credit_customers.csv")   
'''

[USER (data scientist)]: Thanks! Now, I want to check if there are any missing values in the dataset. Can you help me with that? 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

# 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>
[GENERATE YOUR CODE]  
</code1>
# YOUR SOLUTION END

print("Missing values per column:\n", missing_values)  

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

---END CODE TEMPLATE---

[YOU (AI assistant)]: Of course! You can use the following code to check for missing values in the dataset: 

# MY SOLUTION BEGIN:
