29/04/2020
us bike share
key findings :
most common month, most common day of week, most common hour of day,
most common start station, most common end station, most common trip from start to end (i.e., most frequent combination of start station and end station)
total travel time, average travel time,
counts of each user type, counts of each gender (only available for NYC and Chicago)
bikeshare.py code for all the above findings