[USER (data scientist)]: That's perfect! Now, can we create some pie charts to visualize these approval rates? 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, logical_and, check_elements_in_list, filter_by_condition, count_unique_values, create_subplots, set_plot_split_title, set_layout, show_plots, save_plot, fetch_column

# Load the dataset   
credit_customers = read_csv_file("credit_customers.csv")   
  
# Plot pie charts   
fig, axes = create_subplots(1, 3, figsize=(18, 6))   
   
# YOUR SOLUTION BEGIN:
<code1>
[GENERATE YOUR CODE] 
</code1>
# YOUR SOLUTION END

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

---END CODE TEMPLATE---

[YOU (AI assistant)]: Absolutely! Let's create pie charts for the loan approval rates of each customer segment:

# MY SOLUTION BEGIN:
