Frequencies for first 10,000 rows of whlbs_sh variable in vehicle dataset : Wheelbase | Short-Auto | Freq. Percent Cum. ------------+----------------------------------- 0 | 48 0.48 0.48 800 | 10 0.10 0.58 830 | 3 0.03 0.61 850 | 3 0.03 0.64 866 | 59 0.59 1.23 867 | 10 0.10 1.33 875 | 7 0.07 1.40 880 | 1 0.01 1.41 886 | 11 0.11 1.52 893 | 2 0.02 1.54 894 | 8 0.08 1.62 897 | 6 0.06 1.68 900 | 27 0.27 1.95 906 | 16 0.16 2.11 907 | 42 0.42 2.53 910 | 20 0.20 2.73 911 | 12 0.12 2.85 913 | 19 0.19 3.04 919 | 22 0.22 3.26 920 | 11 0.11 3.37 921 | 111 1.11 4.48 933 | 88 0.88 5.36 937 | 38 0.38 5.74 940 | 1 0.01 5.75 942 | 96 0.96 6.71 943 | 59 0.59 7.30 944 | 8 0.08 7.38 945 | 353 3.53 10.91 948 | 1 0.01 10.92 950 | 18 0.18 11.10 953 | 92 0.92 12.02 955 | 21 0.21 12.23 957 | 15 0.15 12.38 958 | 1 0.01 12.39 960 | 15 0.15 12.54 961 | 1 0.01 12.55 962 | 42 0.42 12.97 964 | 1 0.01 12.98 965 | 27 0.27 13.25 966 | 2 0.02 13.27 967 | 20 0.20 13.47 968 | 3 0.03 13.50 969 | 10 0.10 13.60 970 | 100 1.00 14.60 972 | 16 0.16 14.76 974 | 4 0.04 14.80 977 | 1 0.01 14.81 980 | 37 0.37 15.18 983 | 35 0.35 15.53 984 | 62 0.62 16.15 988 | 14 0.14 16.29 990 | 15 0.15 16.44 992 | 16 0.16 16.60 994 | 3 0.03 16.63 995 | 1 0.01 16.64 1000 | 6 0.06 16.70 1004 | 47 0.47 17.17 1008 | 18 0.18 17.35 1009 | 12 0.12 17.47 1018 | 1 0.01 17.48 1026 | 6 0.06 17.54 1030 | 56 0.56 18.10 1031 | 3 0.03 18.13 1032 | 2 0.02 18.15 1038 | 4 0.04 18.19 1040 | 19 0.19 18.38 1041 | 2 0.02 18.40 1043 | 10 0.10 18.50 1049 | 32 0.32 18.82 1050 | 1 0.01 18.83 1053 | 8 0.08 18.91 1055 | 47 0.47 19.38 1057 | 5 0.05 19.43 1059 | 1 0.01 19.44 1060 | 23 0.23 19.67 1063 | 2 0.02 19.69 1065 | 12 0.12 19.81 1070 | 3 0.03 19.84 1080 | 338 3.38 23.22 1081 | 165 1.65 24.87 1082 | 32 0.32 25.19 1083 | 10 0.10 25.29 1084 | 10 0.10 25.39 1085 | 3 0.03 25.42 1087 | 35 0.35 25.77 1090 | 9 0.09 25.86 1094 | 1 0.01 25.87 1099 | 64 0.64 26.51 1100 | 62 0.62 27.13 1109 | 9 0.09 27.22 1110 | 206 2.06 29.28 1111 | 11 0.11 29.39 1120 | 322 3.22 32.61 1121 | 5 0.05 32.66 1127 | 6 0.06 32.72 1128 | 3 0.03 32.75 1130 | 18 0.18 32.93 1139 | 15 0.15 33.08 1140 | 162 1.62 34.70 1143 | 38 0.38 35.08 1149 | 14 0.14 35.22 1150 | 101 1.01 36.23 1159 | 25 0.25 36.48 1160 | 275 2.75 39.23 1167 | 3 0.03 39.26 1170 | 40 0.40 39.66 1171 | 8 0.08 39.74 1172 | 1 0.01 39.75 1174 | 6 0.06 39.81 1175 | 3 0.03 39.84 1179 | 2 0.02 39.86 1180 | 44 0.44 40.30 1185 | 7 0.07 40.37 1189 | 10 0.10 40.47 1190 | 204 2.04 42.51 1200 | 28 0.28 42.79 1204 | 40 0.40 43.19 1210 | 194 1.94 45.13 1214 | 2 0.02 45.15 1215 | 128 1.28 46.43 1220 | 75 0.75 47.18 1230 | 18 0.18 47.36 1232 | 7 0.07 47.43 1234 | 4 0.04 47.47 1235 | 10 0.10 47.57 1239 | 2 0.02 47.59 1240 | 115 1.15 48.74 1250 | 11 0.11 48.85 1260 | 14 0.14 48.99 1262 | 4 0.04 49.03 1263 | 12 0.12 49.15 1270 | 71 0.71 49.86 1272 | 17 0.17 50.03 1295 | 25 0.25 50.28 1296 | 1 0.01 50.29 1300 | 37 0.37 50.66 1315 | 1 0.01 50.67 1330 | 4 0.04 50.71 1445 | 1 0.01 50.72 9999 | 1,830 18.30 69.02 . | 3,098 30.98 100.00 ------------+----------------------------------- Total | 10,000 100.00 by Jean Roth , jroth@nber.org , 22 Apr 2016