Acompany has hired a consultant to review the production storage infrastructure and provide suggestions on improving performance. the consultant has identified a bottleneck in the production switching fabric and successfully tested the solution in a lab environment. which of the following should the consultant perform next, according to best practices?

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}"