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Python: When analyzing data sets, such as data for human heights or for human weights, a common step is to adjust the data. This adjustment

Python: 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:
30.050.010.0100.065.0
the output is:
0.300.500.101.000.65

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