Select the correct statement about data preparation.
a. Data preparation cannot be accelerated through automation.
b. Data preparation involves dealing with missing improperly coded data and can include using text analysis to structure unstructured or semi-structured text data.
c. Data preparation is typically the least time-consuming methodological step. d. All of the above. e. None of the above.

Part a: data processing given a data file, find the max, min, and average values of columns. also, create an addition column that is based on the other columns. there will be no error checking required for this lab. you are provided with a data file named (surprise! ) data.txt. data is arranged in columns where each item of data is twelve columns wide (so it is easy to extract data items using slicing): name height(m) weight(kg) joe 1.82 72.57 mary 1.60 63.50 dion 1.90 90.71 kayla 1.72 66.31 jose 1.78 70.23 sofia 1.63 65.12 erik 1.98 92.21 sara 1.57 65.77 your task is read the file data.txt and calculate the max, min, and average of the height and weight columns and to add an additional column that has the bmi calculated based on each height and weight. your output will look like this (and needs to be formatted like this). to match the testing on mimir here is the format string: "{: < 12s}{: < 12.2f}{: < 12.2f}{: < 12.2f}"