Python 12.26 LAB: Adjust list by normalizingWhen analyzing data sets, such as data for human heights or for human weights, a common step is to adjust the data. This adjustment canbe done by normalizing to values between 0 and 1, or throwing away outliers.For this program, read in a list of floats and adjust their values by dividing all values by the largest value. Output each value with two digitsafter the decimal point. Follow each number output by a space.Ex: If the input is:30.0 50.0 10.0 100.0 65.0the output is:0.30 0.50 0.10 1.00 0.65

Answered: When analyzing data sets, such as data…

Database System Concepts

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Python

12.26 LAB: Adjust 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, read in a list of floats and adjust their values by dividing all values by the largest value. Output each value with two digits
after the decimal point. Follow each number output by a space.
Ex: If the input is:
30.0 50.0 10.0 100.0 65.0
the output is:
0.30 0.50 0.10 1.00 0.65

Expert Solution

Introduction

The question asks for a program to analyze data sets by normalizing the values. The goal is to read in a list of floating-point numbers and adjust the values by dividing each value by the largest value in the list. The adjusted values should be output with two decimal places and separated by spaces. This program can be used to adjust data for various analysis and visualization purposes.

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