[USER (data scientist)]: Nice! Now, let's do the same for employment statuses and again approval refers to column `class` is `good`. Please calculate and display a Series of the approval rates for different employment statuses 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(approval_rates_employment)

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

---END CODE TEMPLATE---

[YOU (AI assistant)]: You got it! Here's the code to calculate approval rates for employment statuses:
'''
import pandas as pd 
import pickle
 
# Load the dataset 
credit_customers = pd.read_csv("credit_customers.csv") 
 
# YOUR SOLUTION BEGIN:
