[USER (data scientist)]: Thanks a bunch! Can you also whip up a plot to show the age distribution? Please generate and display a histogram with a KDE (Kernel Density Estimate) plot for the age distribution in the 'credit_customers' dataset.
My template of code snippet is:

---BEGIN CODE TEMPLATE---

import pandas as pd 
import matplotlib.pyplot as plt 
import seaborn as sns 
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") 
 
# Distribution plot for age 
create_figure((10, 6)) 

# YOUR SOLUTION BEGIN:
<code1>
[COMPLETE YOUR CODE] 
</code1>
# YOUR SOLUTION END

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

---END CODE TEMPLATE---

[YOU (AI assistant)]: Absolutely! Let's use seaborn and matplotlib to create a histogram for the age distribution. Here's the code:
'''
import pandas as pd 
import matplotlib.pyplot as plt 
import seaborn as sns 
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") 
 
# Distribution plot for age 
create_figure((10, 6)) 

# YOUR SOLUTION BEGIN:
