Frequencies for first 10,000 rows of whlbs_sh variable in person dataset : Wheelbase | Short-Auto | Freq. Percent Cum. ------------+----------------------------------- 800 | 4 0.04 0.04 846 | 3 0.03 0.07 850 | 3 0.03 0.10 866 | 32 0.32 0.42 880 | 12 0.12 0.54 884 | 17 0.17 0.71 886 | 14 0.14 0.85 892 | 1 0.01 0.86 893 | 1 0.01 0.87 894 | 4 0.04 0.91 895 | 5 0.05 0.96 897 | 1 0.01 0.97 900 | 8 0.08 1.05 902 | 12 0.12 1.17 906 | 25 0.25 1.42 907 | 27 0.27 1.69 910 | 13 0.13 1.82 911 | 4 0.04 1.86 913 | 62 0.62 2.48 919 | 4 0.04 2.52 920 | 4 0.04 2.56 921 | 69 0.69 3.25 923 | 7 0.07 3.32 924 | 6 0.06 3.38 928 | 5 0.05 3.43 931 | 13 0.13 3.56 933 | 46 0.46 4.02 934 | 23 0.23 4.25 937 | 127 1.27 5.52 939 | 2 0.02 5.54 940 | 69 0.69 6.23 941 | 17 0.17 6.40 942 | 113 1.13 7.53 943 | 66 0.66 8.19 944 | 6 0.06 8.25 945 | 286 2.86 11.11 947 | 11 0.11 11.22 948 | 5 0.05 11.27 950 | 23 0.23 11.50 951 | 3 0.03 11.53 952 | 5 0.05 11.58 953 | 17 0.17 11.75 955 | 30 0.30 12.05 957 | 159 1.59 13.64 959 | 10 0.10 13.74 960 | 24 0.24 13.98 961 | 6 0.06 14.04 962 | 14 0.14 14.18 963 | 11 0.11 14.29 964 | 3 0.03 14.32 965 | 64 0.64 14.96 966 | 19 0.19 15.15 967 | 8 0.08 15.23 969 | 28 0.28 15.51 970 | 56 0.56 16.07 972 | 28 0.28 16.35 973 | 10 0.10 16.45 974 | 1 0.01 16.46 977 | 6 0.06 16.52 978 | 6 0.06 16.58 980 | 16 0.16 16.74 983 | 20 0.20 16.94 984 | 90 0.90 17.84 988 | 35 0.35 18.19 990 | 17 0.17 18.36 991 | 19 0.19 18.55 992 | 39 0.39 18.94 994 | 29 0.29 19.23 996 | 28 0.28 19.51 998 | 3 0.03 19.54 999 | 66 0.66 20.20 1001 | 2 0.02 20.22 1002 | 2 0.02 20.24 1003 | 31 0.31 20.55 1004 | 124 1.24 21.79 1005 | 114 1.14 22.93 1008 | 9 0.09 23.02 1009 | 13 0.13 23.15 1010 | 118 1.18 24.33 1012 | 152 1.52 25.85 1014 | 4 0.04 25.89 1022 | 7 0.07 25.96 1023 | 2 0.02 25.98 1024 | 90 0.90 26.88 1026 | 3 0.03 26.91 1029 | 5 0.05 26.96 1030 | 41 0.41 27.37 1031 | 15 0.15 27.52 1033 | 50 0.50 28.02 1034 | 71 0.71 28.73 1035 | 5 0.05 28.78 1038 | 1 0.01 28.79 1040 | 63 0.63 29.42 1041 | 11 0.11 29.53 1042 | 16 0.16 29.69 1043 | 27 0.27 29.96 1045 | 4 0.04 30.00 1047 | 4 0.04 30.04 1049 | 224 2.24 32.28 1050 | 5 0.05 32.33 1051 | 1 0.01 32.34 1055 | 80 0.80 33.14 1056 | 21 0.21 33.35 1057 | 3 0.03 33.38 1058 | 3 0.03 33.41 1059 | 5 0.05 33.46 1060 | 55 0.55 34.01 1065 | 52 0.52 34.53 1067 | 3 0.03 34.56 1069 | 3 0.03 34.59 1075 | 19 0.19 34.78 1079 | 5 0.05 34.83 1080 | 125 1.25 36.08 1081 | 321 3.21 39.29 1082 | 14 0.14 39.43 1083 | 6 0.06 39.49 1084 | 12 0.12 39.61 1085 | 5 0.05 39.66 1086 | 3 0.03 39.69 1087 | 41 0.41 40.10 1090 | 16 0.16 40.26 1091 | 6 0.06 40.32 1094 | 6 0.06 40.38 1095 | 2 0.02 40.40 1096 | 5 0.05 40.45 1098 | 6 0.06 40.51 1099 | 31 0.31 40.82 1100 | 46 0.46 41.28 1102 | 3 0.03 41.31 1104 | 6 0.06 41.37 1108 | 86 0.86 42.23 1109 | 4 0.04 42.27 1110 | 105 1.05 43.32 1120 | 134 1.34 44.66 1121 | 4 0.04 44.70 1127 | 35 0.35 45.05 1128 | 1 0.01 45.06 1130 | 8 0.08 45.14 1139 | 24 0.24 45.38 1140 | 102 1.02 46.40 1142 | 6 0.06 46.46 1143 | 92 0.92 47.38 1149 | 10 0.10 47.48 1150 | 41 0.41 47.89 1156 | 4 0.04 47.93 1159 | 35 0.35 48.28 1160 | 259 2.59 50.87 1167 | 1 0.01 50.88 1170 | 4 0.04 50.92 1171 | 13 0.13 51.05 1173 | 18 0.18 51.23 1174 | 6 0.06 51.29 1175 | 5 0.05 51.34 1179 | 3 0.03 51.37 1180 | 9 0.09 51.46 1185 | 3 0.03 51.49 1189 | 12 0.12 51.61 1190 | 104 1.04 52.65 1200 | 3 0.03 52.68 1204 | 2 0.02 52.70 1210 | 52 0.52 53.22 1211 | 6 0.06 53.28 1214 | 6 0.06 53.34 1215 | 85 0.85 54.19 1220 | 5 0.05 54.24 1234 | 5 0.05 54.29 1235 | 1 0.01 54.30 1239 | 2 0.02 54.32 1240 | 42 0.42 54.74 1263 | 2 0.02 54.76 1270 | 42 0.42 55.18 1272 | 15 0.15 55.33 1276 | 17 0.17 55.50 1295 | 7 0.07 55.57 1300 | 16 0.16 55.73 1330 | 1 0.01 55.74 1380 | 9 0.09 55.83 9999 | 636 6.36 62.19 . | 3,781 37.81 100.00 ------------+----------------------------------- Total | 10,000 100.00 by Jean Roth , jroth@nber.org , 18 Apr 2016