[USER (data scientist)]: Thanks! Finally, let's create scatter plots for loan approval rates vs. age and credit amount. 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_subplots, df_copy, cast_to_a_dtype, categoricalIndex, categorical_codes, scatter_fig_instance, set_plot_split_title, set_layout, show_plots, save_plot, fetch_column

# Load the dataset   
credit_customers = read_csv_file("credit_customers.csv")   

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/scatterplot_3.png')
show_plots()  
plt.show()

---END CODE TEMPLATE---

[YOU (AI assistant)]: Sure thing! Here are the scatter plots for loan approval rates vs. age and credit amount:

# MY SOLUTION BEGIN:
