[USER (data scientist)]:Great, now let's move on to the third question. Please generate scatter plots showing the correlation between credit_history, employment, age, and credit_amount with loan approval rates. 
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")   
  
# YOUR SOLUTION BEGIN:
<code1>
[GENERATE YOUR CODE]
</code1>
# YOUR SOLUTION END

# Plot scatter plots  
fig, axes = create_subplots(2, 2, figsize=(12, 8))  

# YOUR SOLUTION BEGIN:
<code2>
[GENERATE YOUR CODE]
</code2>
# YOUR SOLUTION END

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

---END CODE TEMPLATE---

[YOU (AI assistant)]: Sure, I can help you with that.

# MY SOLUTION BEGIN:
