Frequencies for first 10,000 rows of make variable in person dataset :

    Vehicle |
       Make |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |          2        0.02        0.02
          2 |        170        1.70        1.72
          3 |          5        0.05        1.77
          6 |        141        1.41        3.18
          7 |        554        5.54        8.72
          9 |          7        0.07        8.79
         10 |          3        0.03        8.82
         12 |      1,415       14.15       22.97
         13 |         76        0.76       23.73
         14 |        126        1.26       24.99
         18 |        127        1.27       26.26
         19 |         88        0.88       27.14
         20 |      1,395       13.95       41.09
         21 |         58        0.58       41.67
         22 |        142        1.42       43.09
         23 |        300        3.00       46.09
         24 |         83        0.83       46.92
         30 |         63        0.63       47.55
         32 |         17        0.17       47.72
         34 |         77        0.77       48.49
         35 |        439        4.39       52.88
         37 |        705        7.05       59.93
         38 |         45        0.45       60.38
         39 |         14        0.14       60.52
         41 |        111        1.11       61.63
         42 |         62        0.62       62.25
         45 |          8        0.08       62.33
         47 |          2        0.02       62.35
         48 |         57        0.57       62.92
         49 |        866        8.66       71.58
         50 |         10        0.10       71.68
         51 |         68        0.68       72.36
         52 |        107        1.07       73.43
         53 |        130        1.30       74.73
         54 |         89        0.89       75.62
         55 |         94        0.94       76.56
         58 |         29        0.29       76.85
         59 |         79        0.79       77.64
         60 |          2        0.02       77.66
         62 |          9        0.09       77.75
         63 |        109        1.09       78.84
         64 |          5        0.05       78.89
         69 |         11        0.11       79.00
         71 |         10        0.10       79.10
         72 |        248        2.48       81.58
         73 |         58        0.58       82.16
         74 |          2        0.02       82.18
         76 |         87        0.87       83.05
         77 |          1        0.01       83.06
         82 |        200        2.00       85.06
         84 |         66        0.66       85.72
         85 |         52        0.52       86.24
         86 |         26        0.26       86.50
         87 |         75        0.75       87.25
         89 |          6        0.06       87.31
         90 |         47        0.47       87.78
         92 |          4        0.04       87.82
         93 |          1        0.01       87.83
         94 |          3        0.03       87.86
         97 |          1        0.01       87.87
         98 |         96        0.96       88.83
         99 |        220        2.20       91.03
          . |        897        8.97      100.00
------------+-----------------------------------
      Total |     10,000      100.00

by Jean Roth , jroth@nber.org , 18 Apr 2016