[USER (data scientist)]: Thanks a bunch! Can you also whip up a plot to show the age distribution? 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  
import seaborn as sns  
from decision_company import read_csv_file, create_barplot, create_histogram, create_histogram_subplot, create_countplot, set_current_ticks, create_figure, set_plot_xlabel, create_figure, set_plot_title, set_yaxis_label, get_figure, configure_gridlines, show_plots, save_plot, fetch_column, avg, locate_mode, get_max, get_min_value, calculate_median, count_unique_values

# Load the dataset  
credit_customers = read_csv_file("credit_customers.csv")  
  
# Distribution plot for age  
create_figure((10, 6)) 

# YOUR SOLUTION BEGIN:
<code1>
[GENERATE 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:

# MY SOLUTION BEGIN:
