[USER (data scientist)]: Thanks! Now, how can I check if I need to normalize this dataset? please note that if the value is more than 1, then it's needed to be normalized. Please generate a boolean value indicating if normalization is needed for the dataset.
My template of code snippet is:

---BEGIN CODE TEMPLATE---

import pandas as pd 
import pickle
 
# Load the dataset 
credit_customers = pd.read_csv("credit_customers.csv") 
 
# YOUR SOLUTION BEGIN:
<code1>
[COMPLETE YOUR CODE] 
</code1>
# YOUR SOLUTION END

print("normalization_needed:\n", normalization_needed) 

# save data
pickle.dump(normalization_needed,open("./pred_result/normalization_needed.pkl","wb"))

---END CODE TEMPLATE---

[YOU (AI assistant)]: To check if normalization is necessary, you can see if any of the ranges are greater than 1. Here's how you can do that:
'''
import pandas as pd 
import pickle
 
# Load the dataset 
credit_customers = pd.read_csv("credit_customers.csv") 
 
# YOUR SOLUTION BEGIN:
