Frequencies for first 10,000 rows of rearsize variable in vindecode dataset : the size of | the rear | tires. | example | '17r245' | Freq. Percent Cum. ------------+----------------------------------- | 8,140 81.40 81.40 13 | 1 0.01 81.41 14 | 14 0.14 81.55 15 | 5 0.05 81.60 25 | 22 0.22 81.82 27 | 54 0.54 82.36 29 | 161 1.61 83.97 30 | 5 0.05 84.02 31 | 2 0.02 84.04 32 | 7 0.07 84.11 36 | 6 0.06 84.17 37 | 229 2.29 86.46 38 | 167 1.67 88.13 39 | 44 0.44 88.57 40 | 27 0.27 88.84 41 | 32 0.32 89.16 42 | 5 0.05 89.21 43 | 15 0.15 89.36 44 | 164 1.64 91.00 45 | 176 1.76 92.76 46 | 80 0.80 93.56 461 | 6 0.06 93.62 47 | 104 1.04 94.66 48 | 28 0.28 94.94 49 | 126 1.26 96.20 51 | 2 0.02 96.22 53 | 4 0.04 96.26 54 | 38 0.38 96.64 55 | 84 0.84 97.48 56 | 49 0.49 97.97 57 | 44 0.44 98.41 58 | 8 0.08 98.49 59 | 1 0.01 98.50 60 | 12 0.12 98.62 61 | 12 0.12 98.74 62 | 11 0.11 98.85 63 | 15 0.15 99.00 65 | 3 0.03 99.03 66 | 1 0.01 99.04 67 | 9 0.09 99.13 71 | 9 0.09 99.22 73 | 45 0.45 99.67 74 | 2 0.02 99.69 75 | 17 0.17 99.86 77 | 1 0.01 99.87 79 | 2 0.02 99.89 83 | 1 0.01 99.90 84 | 1 0.01 99.91 86 | 6 0.06 99.97 88 | 1 0.01 99.98 92 | 1 0.01 99.99 98 | 1 0.01 100.00 ------------+----------------------------------- Total | 10,000 100.00 by Jean Roth , jroth@nber.org , 22 Oct 2016