uber id (string) start time (datetime) end_time (datetime) Distance (float) x992 08/22/20 05:29:33 08/22/20 05:56:22 8.2 b487 08/01/20 15:40:01 08/01/20 15:12:41 2.2 a902 08/19/20 20:21:37 08/19/20 22:01:01 9.4 s002 08/30/20 01:01:22 08/30/20 01:12:11 1.0 You have a dataframe above where each row is a record of an Uber ride (only four rows are show). You want to create a dataset that has the average speed by driver From the multiple choice please select the correct sequence for the actions listed below: A - Divide distance by trip_time B - Make trip time column by subtracting start_time from end_time C- aggregate using 'mean' on the Distance column . D - Groupby the uber_id column C, A, D, B O A, C, D, B OB, A, C, D B, A, D, C