When analyzing data sets, such as data for human heights or for human weights, a common step is to adjust the data. This can be done by normalizing to values between 0 and 1, or throwing away outliers. For this program, adjust the values by subtracting each value from the maximum. Input values should be added to the list until -1 is entered. Ex: If the input is: 30 50 10 70 65 -1 the output is: 40 20 60 5 Your program must define and call the function: def get_max_int(nums)

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
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When analyzing data sets, such as data for human heights or for human weights, a common step is to adjust the data. This can be done by
normalizing to values between 0 and 1, or throwing away outliers. For this program, adjust the values by subtracting each value from the
maximum. Input values should be added to the list until-1 is entered.
Ex: If the input is:
30
50
10
70
65
-1
the output is:
40
20
60
Your program must define and call the function:
def get_max_int(nums)
Transcribed Image Text:When analyzing data sets, such as data for human heights or for human weights, a common step is to adjust the data. This can be done by normalizing to values between 0 and 1, or throwing away outliers. For this program, adjust the values by subtracting each value from the maximum. Input values should be added to the list until-1 is entered. Ex: If the input is: 30 50 10 70 65 -1 the output is: 40 20 60 Your program must define and call the function: def get_max_int(nums)
main.py
1 def get_max_int(nums):
#Type your code here.
3
4 if
-_name__
'_main__':
5
#Type your code here.
Transcribed Image Text:main.py 1 def get_max_int(nums): #Type your code here. 3 4 if -_name__ '_main__': 5 #Type your code here.
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