Frequencies for first 10,000 rows of trav_sp variable in vehicle dataset :

     Travel |
      Speed |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |        239        2.39        2.39
          1 |          1        0.01        2.40
          2 |          5        0.05        2.45
          3 |          8        0.08        2.53
          4 |          3        0.03        2.56
          5 |         85        0.85        3.41
          6 |          2        0.02        3.43
          7 |          1        0.01        3.44
          8 |          5        0.05        3.49
         10 |        128        1.28        4.77
         12 |          1        0.01        4.78
         15 |        119        1.19        5.97
         18 |          2        0.02        5.99
         20 |        136        1.36        7.35
         21 |          1        0.01        7.36
         22 |          1        0.01        7.37
         23 |          1        0.01        7.38
         25 |        190        1.90        9.28
         27 |          1        0.01        9.29
         28 |          1        0.01        9.30
         29 |          1        0.01        9.31
         30 |        258        2.58       11.89
         31 |          3        0.03       11.92
         32 |          2        0.02       11.94
         33 |          5        0.05       11.99
         34 |          3        0.03       12.02
         35 |        309        3.09       15.11
         36 |          3        0.03       15.14
         38 |          2        0.02       15.16
         39 |          2        0.02       15.18
         40 |        416        4.16       19.34
         41 |          2        0.02       19.36
         42 |          5        0.05       19.41
         43 |          2        0.02       19.43
         44 |          3        0.03       19.46
         45 |        398        3.98       23.44
         46 |          4        0.04       23.48
         47 |          1        0.01       23.49
         48 |          4        0.04       23.53
         49 |          2        0.02       23.55
         50 |        621        6.21       29.76
         51 |          3        0.03       29.79
         52 |          4        0.04       29.83
         53 |          4        0.04       29.87
         54 |          2        0.02       29.89
         55 |        758        7.58       37.47
         56 |          4        0.04       37.51
         57 |          2        0.02       37.53
         58 |          7        0.07       37.60
         59 |          1        0.01       37.61
         60 |        273        2.73       40.34
         61 |          1        0.01       40.35
         62 |          8        0.08       40.43
         65 |        159        1.59       42.02
         66 |          3        0.03       42.05
         67 |          3        0.03       42.08
         68 |          5        0.05       42.13
         69 |          1        0.01       42.14
         70 |        219        2.19       44.33
         71 |          2        0.02       44.35
         73 |          4        0.04       44.39
         74 |          1        0.01       44.40
         75 |        105        1.05       45.45
         78 |          1        0.01       45.46
         79 |          1        0.01       45.47
         80 |        134        1.34       46.81
         81 |          1        0.01       46.82
         82 |          1        0.01       46.83
         83 |          2        0.02       46.85
         84 |          2        0.02       46.87
         85 |         30        0.30       47.17
         86 |          2        0.02       47.19
         90 |         78        0.78       47.97
         91 |          2        0.02       47.99
         93 |          3        0.03       48.02
         95 |         85        0.85       48.87
         98 |      2,436       24.36       73.23
         99 |      2,677       26.77      100.00
------------+-----------------------------------
      Total |     10,000      100.00

by Jean Roth , jroth@nber.org , 22 Apr 2016