Frequencies for first 10,000 rows of whlbs_sh variable in person dataset : Wheelbase | Short-Auto | Freq. Percent Cum. ------------+----------------------------------- 800 | 2 0.02 0.02 830 | 2 0.02 0.04 846 | 3 0.03 0.07 866 | 29 0.29 0.36 880 | 11 0.11 0.47 884 | 15 0.15 0.62 886 | 12 0.12 0.74 892 | 3 0.03 0.77 893 | 1 0.01 0.78 894 | 3 0.03 0.81 895 | 1 0.01 0.82 898 | 2 0.02 0.84 900 | 12 0.12 0.96 902 | 20 0.20 1.16 906 | 17 0.17 1.33 907 | 24 0.24 1.57 910 | 10 0.10 1.67 911 | 1 0.01 1.68 913 | 59 0.59 2.27 919 | 1 0.01 2.28 920 | 6 0.06 2.34 921 | 37 0.37 2.71 923 | 3 0.03 2.74 924 | 1 0.01 2.75 928 | 11 0.11 2.86 929 | 1 0.01 2.87 931 | 8 0.08 2.95 933 | 34 0.34 3.29 934 | 22 0.22 3.51 937 | 153 1.53 5.04 939 | 2 0.02 5.06 940 | 66 0.66 5.72 941 | 10 0.10 5.82 942 | 146 1.46 7.28 943 | 62 0.62 7.90 944 | 5 0.05 7.95 945 | 257 2.57 10.52 947 | 9 0.09 10.61 950 | 8 0.08 10.69 951 | 7 0.07 10.76 953 | 26 0.26 11.02 955 | 6 0.06 11.08 957 | 181 1.81 12.89 958 | 3 0.03 12.92 959 | 5 0.05 12.97 960 | 14 0.14 13.11 961 | 3 0.03 13.14 962 | 3 0.03 13.17 963 | 17 0.17 13.34 965 | 97 0.97 14.31 966 | 7 0.07 14.38 967 | 9 0.09 14.47 968 | 1 0.01 14.48 969 | 20 0.20 14.68 970 | 78 0.78 15.46 972 | 30 0.30 15.76 973 | 21 0.21 15.97 974 | 6 0.06 16.03 978 | 7 0.07 16.10 980 | 11 0.11 16.21 983 | 11 0.11 16.32 984 | 105 1.05 17.37 985 | 2 0.02 17.39 988 | 27 0.27 17.66 990 | 18 0.18 17.84 991 | 29 0.29 18.13 992 | 32 0.32 18.45 994 | 19 0.19 18.64 995 | 1 0.01 18.65 996 | 5 0.05 18.70 998 | 6 0.06 18.76 999 | 61 0.61 19.37 1000 | 2 0.02 19.39 1001 | 2 0.02 19.41 1003 | 43 0.43 19.84 1004 | 89 0.89 20.73 1005 | 122 1.22 21.95 1008 | 7 0.07 22.02 1009 | 10 0.10 22.12 1010 | 115 1.15 23.27 1012 | 128 1.28 24.55 1014 | 10 0.10 24.65 1016 | 3 0.03 24.68 1022 | 6 0.06 24.74 1024 | 93 0.93 25.67 1026 | 5 0.05 25.72 1030 | 31 0.31 26.03 1031 | 12 0.12 26.15 1032 | 1 0.01 26.16 1033 | 55 0.55 26.71 1034 | 117 1.17 27.88 1039 | 2 0.02 27.90 1040 | 40 0.40 28.30 1041 | 15 0.15 28.45 1042 | 15 0.15 28.60 1043 | 51 0.51 29.11 1045 | 4 0.04 29.15 1047 | 19 0.19 29.34 1049 | 228 2.28 31.62 1050 | 13 0.13 31.75 1052 | 1 0.01 31.76 1053 | 2 0.02 31.78 1055 | 79 0.79 32.57 1056 | 24 0.24 32.81 1057 | 5 0.05 32.86 1058 | 5 0.05 32.91 1059 | 3 0.03 32.94 1060 | 70 0.70 33.64 1065 | 20 0.20 33.84 1069 | 15 0.15 33.99 1070 | 2 0.02 34.01 1071 | 8 0.08 34.09 1075 | 50 0.50 34.59 1080 | 158 1.58 36.17 1081 | 330 3.30 39.47 1082 | 22 0.22 39.69 1083 | 3 0.03 39.72 1084 | 11 0.11 39.83 1085 | 4 0.04 39.87 1086 | 5 0.05 39.92 1087 | 15 0.15 40.07 1090 | 21 0.21 40.28 1091 | 4 0.04 40.32 1094 | 8 0.08 40.40 1096 | 5 0.05 40.45 1098 | 3 0.03 40.48 1099 | 47 0.47 40.95 1100 | 23 0.23 41.18 1102 | 10 0.10 41.28 1104 | 10 0.10 41.38 1108 | 80 0.80 42.18 1110 | 104 1.04 43.22 1120 | 154 1.54 44.76 1121 | 20 0.20 44.96 1125 | 2 0.02 44.98 1127 | 43 0.43 45.41 1128 | 1 0.01 45.42 1130 | 11 0.11 45.53 1139 | 6 0.06 45.59 1140 | 76 0.76 46.35 1142 | 2 0.02 46.37 1143 | 87 0.87 47.24 1149 | 7 0.07 47.31 1150 | 21 0.21 47.52 1156 | 6 0.06 47.58 1159 | 46 0.46 48.04 1160 | 225 2.25 50.29 1167 | 2 0.02 50.31 1170 | 1 0.01 50.32 1171 | 7 0.07 50.39 1173 | 14 0.14 50.53 1174 | 7 0.07 50.60 1180 | 5 0.05 50.65 1185 | 4 0.04 50.69 1189 | 7 0.07 50.76 1190 | 102 1.02 51.78 1200 | 1 0.01 51.79 1204 | 19 0.19 51.98 1209 | 1 0.01 51.99 1210 | 32 0.32 52.31 1211 | 1 0.01 52.32 1214 | 20 0.20 52.52 1215 | 49 0.49 53.01 1220 | 7 0.07 53.08 1230 | 5 0.05 53.13 1234 | 4 0.04 53.17 1235 | 2 0.02 53.19 1240 | 53 0.53 53.72 1250 | 23 0.23 53.95 1260 | 2 0.02 53.97 1263 | 1 0.01 53.98 1270 | 25 0.25 54.23 1272 | 2 0.02 54.25 1276 | 15 0.15 54.40 1295 | 32 0.32 54.72 1300 | 12 0.12 54.84 1330 | 2 0.02 54.86 1380 | 17 0.17 55.03 9999 | 717 7.17 62.20 . | 3,780 37.80 100.00 ------------+----------------------------------- Total | 10,000 100.00 by Jean Roth , jroth@nber.org , 18 Apr 2016