[USER (data scientist)]: Awesome! Now, I'd like to visualize these approval rates using bar charts. 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, get_fig_from_df, count_unique_values, set_layout, bind_dataframe, pivot_a_level, fill_missing_values, create_subplots, show_plots, save_plot, fetch_column, logical_and, filter_by_condition, make_bins

# 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('ref_result/bar_chart.png')
show_plots()

---END CODE TEMPLATE---

[YOU (AI assistant)]: Sounds good! Let's create bar charts for each category using matplotlib. Here's the code for that:

# MY SOLUTION BEGIN:
