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...

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

python please: also input is a list of numbers not individual inputs for the assignment, also there are multiple input sets aside from the ones given, how can i fix this code to applyto multiple sets of lists?

def normalize(dataset):
    largestValue=max(dataset)
    normalDataSet=[]
    for i in range(len(dataset)):
        n=dataset[i]/largestValue
        normalDataSet.append(n)
    return normalDataSet

dataset=[]
normal=normalize(dataset)
for i in range(len(normal)):
    print('%.2f'%normal[i],end=" ")