[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 using the custom function 
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 a Series that shows the number of missing values in each column of the dataset.
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>
[COMPLETE 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: 
'''
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:
