data mining

You are given the attribute values for a variable from these different data sets (each data set has 5

instances), as shown below:

D1 = [1, 2, 3, 4, 5],

D2 = [5, -5, 2, 1, -2].

Computing the following statistics needed: range (max-min), average, standard deviation for each

dataset. Then, transform the attribute values in each dataset (keep up to 2 decimal digits) using three

different ways: a) min-max normalization, b) standardization, c) binarization (1 if they are greater than

the average, otherwise 0)