[USER (data scientist)]:Hi Tapilot, I need your help to analyze the credit_customers dataset. Let's start with the first question. Please generate histograms showing the distribution of credit_history, employment, age, and credit_amount 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, 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 = create_subplots(2, 2, figsize=(12, 8))  
  
# YOUR SOLUTION BEGIN:
<code1>
[GENERATE YOUR CODE] 
</code1>
# YOUR SOLUTION END

# save data
save_plot('pred_result/subplots.png') 
show_plots()

---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:

# MY SOLUTION BEGIN:
