[USER (data scientist)]: Hi Tapilot, I need your help to analyze the credit_customers dataset. Let's start with the first question. Specifically, you can generate a set of subplots (datatype: matplotlib Figure) to visualize the distribution of 'credit_history', 'employment', 'age', and 'credit_amount' within the 'credit_customers' dataframe.
My template of code snippet is:

---BEGIN CODE TEMPLATE---

import pandas as pd  
import matplotlib.pyplot as plt  
  
# Load the dataset  
credit_customers = pd.read_csv("credit_customers.csv")  
  
# Plot histograms  
fig, axes = plt.subplots(2, 2, figsize=(12, 8))  
  
# YOUR SOLUTION BEGIN:
<code1>
[COMPLETE YOUR CODE] 
</code1>
# YOUR SOLUTION END

plt.savefig('pred_result/subplots.png') 
plt.show()

---END CODE TEMPLATE---

[YOU (AI assistant)]:Sure, I can help you with that. To generate histograms for the specified columns, you can use the following code: 
'''
import pandas as pd  
import matplotlib.pyplot as plt  
  
# Load the dataset  
credit_customers = pd.read_csv("credit_customers.csv")  
  
# Plot histograms  
fig, axes = plt.subplots(2, 2, figsize=(12, 8))  
  
# YOUR SOLUTION BEGIN:
