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Can be used for scaling any number of variables

Python Implementation:

Can be used for scaling any number of variables
 
 Python Implementation:

# List1 will contain all the variables
    list1 = []
# append all the variables in list1
    list1.append(var1)
    list1.append(var2)
    list1.append(var3)
    list1.append(var4)
    
    
    # Sorting the list in ascending order
    list1.sort(key = None, reverse = False)
    
    # Normalizing each variable using ( X_Normalized = (X - X_minimum) / (X_Maximum - X_minimum)  )
    normalized_var1 = (var1 - list1[0]) / (list1[-1] - list1[0])
    normalized_var2 = (var2 - list1[0]) / (list1[-1] - list1[0])
    normalized_var3 = (var3 - list1[0]) / (list1[-1] - list1[0])
    normalized_var4 = (var4 - list1[0]) / (list1[-1] - list1[0])
Can be used for scaling any number of variables
 
 Python Implementation:

# List1 will contain all the variables
    list1 = []
# append all the variables in list1
    list1.append(var1)
    list1.append(var2)
    list1.append(var3)
    list1.append(var4)
    
    
    # Sorting the list in ascending order
    list1.sort(key = None, reverse = False)
    
    # Normalizing each variable using ( X_Normalized = (X - X_minimum) / (X_Maximum - X_minimum)  )
    normalized_var1 = (var1 - list1[0]) / (list1[-1] - list1[0])
    normalized_var2 = (var2 - list1[0]) / (list1[-1] - list1[0])
    normalized_var3 = (var3 - list1[0]) / (list1[-1] - list1[0])
    normalized_var4 = (var4 - list1[0]) / (list1[-1] - list1[0])

Can be used for scaling any number of variables

Python Implementation:

# List1 will contain all the variables
list1 = []
# append all the variables in list1
list1.append(var1)
list1.append(var2)
list1.append(var3)
list1.append(var4)


# Sorting the list in ascending order
list1.sort(key = None, reverse = False)

# Normalizing each variable using ( X_Normalized = (X - X_minimum) / (X_Maximum - X_minimum)  )
normalized_var1 = (var1 - list1[0]) / (list1[-1] - list1[0])
normalized_var2 = (var2 - list1[0]) / (list1[-1] - list1[0])
normalized_var3 = (var3 - list1[0]) / (list1[-1] - list1[0])
normalized_var4 = (var4 - list1[0]) / (list1[-1] - list1[0])
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Can be used for scaling any number of variables
 
 Python Implementation:

# List1 will contain all the variables
    list1 = []
# append all the variables in list1
    list1.append(var1)
    list1.append(var2)
    list1.append(var3)
    list1.append(var4)
    
    
    # Sorting the list in ascending order
    list1.sort(key = None, reverse = False)
    
    # Normalizing each variable using ( X_Normalized = (X - X_minimum) / (X_Maximum - X_minimum)  )
    normalized_var1 = (var1 - list1[0]) / (list1[-1] - list1[0])
    normalized_var2 = (var2 - list1[0]) / (list1[-1] - list1[0])
    normalized_var3 = (var3 - list1[0]) / (list1[-1] - list1[0])
    normalized_var4 = (var4 - list1[0]) / (list1[-1] - list1[0])