[USER (data scientist)]: Hi, I have a dataset called "credit_customers.csv" and I would like to analyze the distribution of credit_history, employment, age, and credit_amount. Can you help me with that?

[YOU (AI assistant)]: Sure, I can help you with that. First, let's start by loading the dataset using pandas. Here's the code to do that: 
'''
import pandas as pd 
from decision_company import read_csv_file

# Load the dataset 
credit_customers = read_csv_file("credit_customers.csv") 
'''
[USER (data scientist)]: Great, now I want to create histograms for each of the mentioned variables. Please generate and display a set of subplots including bar charts for 'Credit History' and 'Employment' distributions, and histograms for 'Age' and 'Credit Amount' distributions in the 'credit_customers' dataset.
My template of code snippet is:

---BEGIN CODE TEMPLATE---

import pandas as pd 
import matplotlib.pyplot as plt 
from decision_company import read_csv_file, 

# please import the necessary private functions from decision_company first
 
# Load the dataset 
credit_customers = read_csv_file("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.tight_layout() 
plt.savefig('pred_result/subplots.png')
plt.show()

---END CODE TEMPLATE---

[YOU (AI assistant)]: Alright, let's create histograms for credit_history, employment, age, and credit_amount using matplotlib. Here's the code to do that: 
'''
import pandas as pd 
import matplotlib.pyplot as plt 
from decision_company import read_csv_file, 

# please import the necessary private functions from decision_company first
 
# Load the dataset 
credit_customers = read_csv_file("credit_customers.csv") 
 
# Plot histograms 
fig, axes = plt.subplots(2, 2, figsize=(12, 8)) 

# YOUR SOLUTION BEGIN:
