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 python 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))
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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 adjustment can be done by normalizing to values between 0 and 1, or throwing away outliers.
For this python 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))
cast to int/float while taking input from user
format is used to specify the precision of value we are going to display
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