[USER (data scientist)]: That's super helpful. Now, I'd like to check out the employment status distribution of our customers. Please generate and display a series of the distribution of the 'employment' status values in the 'credit_customers' dataset.
My template of code snippet is:

---BEGIN CODE TEMPLATE---

import pandas as pd 
import pickle
 
# Load the dataset 
credit_customers = pd.read_csv("credit_customers.csv") 

# YOUR SOLUTION BEGIN:
<code1>
[COMPLETE YOUR CODE] 
</code1>
# YOUR SOLUTION END

print("\nEmployment Status Distribution:") 
print(employment_counts) 

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

---END CODE TEMPLATE---

[YOU (AI assistant)]: Sure thing! You can use the "value_counts()" function to see the employment status distribution. Here's the code:
'''
import pandas as pd 
import pickle
 
# Load the dataset 
credit_customers = pd.read_csv("credit_customers.csv") 

# YOUR SOLUTION BEGIN:
