Create a list containing 1,000,000 arbitrary values. Run a timing experiment where you measure the time to perform a single lookup on each of the one million indices. However, before you run the experiment, document in your report any predictions you have regarding the data. Does your data match your prediction? Plot the data via a scatter plot and include it in your report. There are 1 million data-points... I do not suggest copy and pasting from the console. Discuss what potential problems are present in your experiment. How would you fix these issues? Redesign and rerun your experiment. Again, include a scatter plot in your report alongside any conclusions you have regarding the runtime of lookups for Python lists