[USER (data scientist)]: Can you also make a plot to show the credit history distribution? Please generate and display a count plot for the distribution of credit history categories 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 credit history 
create_figure((10, 6)) 
 
# YOUR SOLUTION BEGIN:
<code1>
[COMPLETE YOUR CODE]
</code1>
# YOUR SOLUTION END

# save data
save_plot('./pred_result/countplot_2.png') 
show_plots()

---END CODE TEMPLATE---

[YOU (AI assistant)]: Sure thing! Here's the code to create a bar plot for the credit history distribution:
'''
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 credit history 
create_figure((10, 6)) 
 
# YOUR SOLUTION BEGIN:
