[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 the code with the output in plot type.
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, create_subplots, get_fig_from_df, count_unique_values, fetch_column, set_layout, save_plot, show_plots

# 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>
[GENERATE 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:   

# MY SOLUTION BEGIN:
