# A tibble: 1,000,000 x 12
   start_date          start_station_c… end_date            end_station_code
   <dttm>                         <int> <dttm>                         <int>
 1 2017-09-18 13:35:00             6906 2017-09-18 13:40:00             6913
 2 2017-08-21 14:31:00             6316 2017-08-21 14:34:00             6316
 3 2017-06-14 16:05:00             6381 2017-06-14 16:20:00             6380
 4 2017-08-26 20:25:00             7067 2017-08-26 20:36:00             7071
 5 2017-10-04 13:29:00             6502 2017-10-04 13:38:00             6359
 6 2017-09-11 06:49:00             6161 2017-09-11 07:03:00             6008
 7 2017-07-24 16:46:00             6406 2017-07-24 16:53:00             7052
 8 2017-10-10 14:15:00             6174 2017-10-10 14:24:00             6078
 9 2017-08-12 15:51:00             6249 2017-08-12 15:56:00             6329
10 2017-06-02 07:37:00             6363 2017-06-02 08:06:00             6043
# ... with 999,990 more rows, and 8 more variables: duration_sec <int>,
#   start_day <date>, start_dow <fct>, weekday <fct>, start_hod <dbl>,
#   start_mon <dbl>, start_wk <dbl>, membership <fct>