Frequencies for first 10,000 rows of importdate variable in plan2017 dataset :

        Import Date |      Freq.     Percent        Cum.
--------------------+-----------------------------------
2016-05-16 23:14:35 |        101        1.01        1.01
2016-06-01 23:04:04 |          4        0.04        1.05
2016-06-10 03:02:05 |          6        0.06        1.11
2016-06-18 03:07:04 |          8        0.08        1.19
2016-06-22 03:04:47 |          8        0.08        1.27
2016-06-23 03:05:53 |         12        0.12        1.39
2016-06-24 02:40:05 |          5        0.05        1.44
2016-06-25 15:13:19 |        108        1.08        2.52
2016-06-26 07:33:26 |          6        0.06        2.58
2016-06-28 02:39:00 |        170        1.70        4.28
2016-06-29 04:36:58 |         66        0.66        4.94
2016-07-01 08:12:23 |        475        4.75        9.69
2016-07-06 06:54:55 |          2        0.02        9.71
2016-07-12 07:07:21 |         14        0.14        9.85
2016-07-19 02:54:01 |         10        0.10        9.95
2016-07-20 03:02:32 |          6        0.06       10.01
2016-07-28 02:40:10 |         14        0.14       10.15
2016-08-04 02:29:22 |          4        0.04       10.19
2016-08-05 02:57:02 |         16        0.16       10.35
2016-08-09 02:37:57 |         16        0.16       10.51
2016-08-10 02:51:42 |         15        0.15       10.66
2016-08-11 02:30:27 |         30        0.30       10.96
2016-08-12 02:50:28 |          4        0.04       11.00
2016-08-15 07:42:31 |        138        1.38       12.38
2016-08-16 03:04:39 |         50        0.50       12.88
2016-08-17 03:19:03 |          7        0.07       12.95
2016-08-18 02:41:03 |         25        0.25       13.20
2016-08-19 02:25:56 |        103        1.03       14.23
2016-08-20 07:40:33 |        374        3.74       17.97
2016-08-21 04:30:14 |         20        0.20       18.17
2016-08-23 02:28:31 |         71        0.71       18.88
2016-08-24 02:30:21 |        183        1.83       20.71
2016-08-25 02:24:34 |         45        0.45       21.16
2016-09-01 07:41:30 |        320        3.20       24.36
2016-09-14 22:21:51 |        431        4.31       28.67
2016-09-28 03:28:44 |        491        4.91       33.58
2016-10-12 08:34:00 |         15        0.15       33.73
2016-10-18 03:04:46 |        334        3.34       37.07
2016-10-19 02:44:25 |        385        3.85       40.92
2016-10-21 02:45:44 |         50        0.50       41.42
2016-11-15 02:20:22 |         47        0.47       41.89
2016-11-16 02:20:23 |         33        0.33       42.22
2016-11-17 02:20:17 |         26        0.26       42.48
2016-11-19 04:47:33 |        208        2.08       44.56
2017-01-19 02:20:17 |        466        4.66       49.22
2017-01-20 09:19:19 |        985        9.85       59.07
2017-01-21 03:35:28 |        512        5.12       64.19
2017-01-24 02:20:16 |         96        0.96       65.15
2017-01-25 02:20:17 |      2,363       23.63       88.78
2017-03-18 05:10:20 |         32        0.32       89.10
2017-03-25 15:17:19 |          1        0.01       89.11
2017-04-20 07:50:26 |         84        0.84       89.95
2017-04-26 02:48:20 |      1,005       10.05      100.00
--------------------+-----------------------------------
              Total |     10,000      100.00

by Jean Roth , jroth@nber.org , 8 Dec 2017