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5.23 LAB: Adjust values in a list by normalizing   When analyzing data sets, such as data for human heights or for human weights, a common step is to adjust the data. This adjustment can be done by normalizing to values between 0 and 1, or throwing away outliers. For this program, adjust the values by dividing all values by the largest value. The input begins with an integer indicating the number of floating-point values that follow. Output each floating-point value with two digits after the decimal point, which can be achieved as follows: print('{:.2f}'.format(your_value)) Ex: If the input is: 5 30.0 50.0 10.0 100.0 65.0 the output is: 0.30 0.50 0.10 1.00 0.65 The 5 indicates that there are five floating-point values in the list, namely 30.0, 50.0, 10.0, 100.0, and 65.0. 100.0 is the largest value in the list, so each value is divided by 100.0.   Use Python, please.

5.23 LAB: Adjust values in a list by normalizing   When analyzing data sets, such as data for human heights or for human weights, a common step is to adjust the data. This adjustment can be done by normalizing to values between 0 and 1, or throwing away outliers. For this program, adjust the values by dividing all values by the largest value. The input begins with an integer indicating the number of floating-point values that follow. Output each floating-point value with two digits after the decimal point, which can be achieved as follows: print('{:.2f}'.format(your_value)) Ex: If the input is: 5 30.0 50.0 10.0 100.0 65.0 the output is: 0.30 0.50 0.10 1.00 0.65 The 5 indicates that there are five floating-point values in the list, namely 30.0, 50.0, 10.0, 100.0, and 65.0. 100.0 is the largest value in the list, so each value is divided by 100.0.   Use Python, please.

Computer Networking: A Top-Down Approach (7th Edition)
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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5.23 LAB: Adjust values in a list by normalizing

 

When analyzing data sets, such as data for human heights or for human weights, a common step is to adjust the data. This adjustment can be done by normalizing to values between 0 and 1, or throwing away outliers.

For this program, adjust the values by dividing all values by the largest value. The input begins with an integer indicating the number of floating-point values that follow.

Output each floating-point value with two digits after the decimal point, which can be achieved as follows:
print('{:.2f}'.format(your_value))

Ex: If the input is:

5 30.0 50.0 10.0 100.0 65.0

the output is:

0.30 0.50 0.10 1.00 0.65

The 5 indicates that there are five floating-point values in the list, namely 30.0, 50.0, 10.0, 100.0, and 65.0. 100.0 is the largest value in the list, so each value is divided by 100.0.

 

Use Python, please.

= zyBooks My library > COMSC 101: Computer Programming 1 home > 5.23: LAB: Adjust values in a list by normalizing E zyBooks catalog 2 Help/FAQ SYDNEY REED - 3a16TA2153518qxSzqy7 LAB 5.23.1: LAB: Adjust values in a list by normalizing 0/ 10 АCTIVITY main.py Load default template.. 1 ''' Type your code here. ''' Run your program as often as you'd like, before submitting for grading. Below, type any needed input values in the first box, then click Run program and observe the program's output in the second box. Develop mode Submit mode Enter program input (optional) If your code requires input values, provide them here.
Transcribed Image Text:= zyBooks My library > COMSC 101: Computer Programming 1 home > 5.23: LAB: Adjust values in a list by normalizing E zyBooks catalog 2 Help/FAQ SYDNEY REED - 3a16TA2153518qxSzqy7 LAB 5.23.1: LAB: Adjust values in a list by normalizing 0/ 10 АCTIVITY main.py Load default template.. 1 ''' Type your code here. ''' Run your program as often as you'd like, before submitting for grading. Below, type any needed input values in the first box, then click Run program and observe the program's output in the second box. Develop mode Submit mode Enter program input (optional) If your code requires input values, provide them here.
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