Frequencies for first 10,000 rows of whlbs_sh variable in vehicle dataset : WHLBASE | SHORT-AUTO | Freq. Percent Cum. ------------+----------------------------------- 799 | 11 0.11 0.11 810 | 2 0.02 0.13 834 | 1 0.01 0.14 835 | 4 0.04 0.18 840 | 4 0.04 0.22 846 | 1 0.01 0.23 866 | 35 0.35 0.58 880 | 16 0.16 0.74 884 | 19 0.19 0.93 886 | 9 0.09 1.02 890 | 2 0.02 1.04 892 | 21 0.21 1.25 893 | 1 0.01 1.26 894 | 2 0.02 1.28 895 | 2 0.02 1.30 898 | 1 0.01 1.31 900 | 13 0.13 1.44 902 | 8 0.08 1.52 906 | 38 0.38 1.90 907 | 15 0.15 2.05 910 | 1 0.01 2.06 911 | 1 0.01 2.07 913 | 49 0.49 2.56 917 | 3 0.03 2.59 919 | 3 0.03 2.62 920 | 11 0.11 2.73 921 | 33 0.33 3.06 925 | 1 0.01 3.07 928 | 8 0.08 3.15 931 | 15 0.15 3.30 933 | 25 0.25 3.55 934 | 34 0.34 3.89 935 | 7 0.07 3.96 937 | 152 1.52 5.48 938 | 19 0.19 5.67 939 | 5 0.05 5.72 940 | 42 0.42 6.14 941 | 5 0.05 6.19 942 | 69 0.69 6.88 943 | 29 0.29 7.17 944 | 1 0.01 7.18 945 | 168 1.68 8.86 947 | 6 0.06 8.92 950 | 6 0.06 8.98 951 | 9 0.09 9.07 953 | 22 0.22 9.29 955 | 14 0.14 9.43 956 | 31 0.31 9.74 957 | 170 1.70 11.44 959 | 3 0.03 11.47 960 | 6 0.06 11.53 961 | 9 0.09 11.62 962 | 10 0.10 11.72 963 | 14 0.14 11.86 964 | 1 0.01 11.87 965 | 122 1.22 13.09 966 | 2 0.02 13.11 967 | 8 0.08 13.19 968 | 1 0.01 13.20 969 | 10 0.10 13.30 970 | 65 0.65 13.95 971 | 10 0.10 14.05 972 | 59 0.59 14.64 973 | 26 0.26 14.90 974 | 13 0.13 15.03 976 | 1 0.01 15.04 978 | 3 0.03 15.07 980 | 6 0.06 15.13 983 | 15 0.15 15.28 984 | 217 2.17 17.45 985 | 1 0.01 17.46 988 | 24 0.24 17.70 990 | 30 0.30 18.00 991 | 25 0.25 18.25 992 | 32 0.32 18.57 994 | 24 0.24 18.81 996 | 3 0.03 18.84 998 | 6 0.06 18.90 999 | 99 0.99 19.89 1000 | 4 0.04 19.93 1001 | 7 0.07 20.00 1002 | 7 0.07 20.07 1003 | 50 0.50 20.57 1004 | 84 0.84 21.41 1005 | 128 1.28 22.69 1006 | 3 0.03 22.72 1008 | 4 0.04 22.76 1009 | 10 0.10 22.86 1010 | 130 1.30 24.16 1011 | 31 0.31 24.47 1012 | 147 1.47 25.94 1013 | 64 0.64 26.58 1014 | 65 0.65 27.23 1016 | 15 0.15 27.38 1018 | 15 0.15 27.53 1020 | 9 0.09 27.62 1021 | 3 0.03 27.65 1022 | 11 0.11 27.76 1023 | 7 0.07 27.83 1024 | 162 1.62 29.45 1026 | 3 0.03 29.48 1027 | 2 0.02 29.50 1028 | 8 0.08 29.58 1029 | 46 0.46 30.04 1030 | 88 0.88 30.92 1031 | 89 0.89 31.81 1032 | 33 0.33 32.14 1033 | 118 1.18 33.32 1034 | 168 1.68 35.00 1035 | 25 0.25 35.25 1037 | 3 0.03 35.28 1039 | 1 0.01 35.29 1040 | 85 0.85 36.14 1041 | 13 0.13 36.27 1042 | 17 0.17 36.44 1043 | 172 1.72 38.16 1045 | 15 0.15 38.31 1047 | 20 0.20 38.51 1048 | 2 0.02 38.53 1049 | 230 2.30 40.83 1050 | 35 0.35 41.18 1051 | 16 0.16 41.34 1052 | 2 0.02 41.36 1055 | 50 0.50 41.86 1056 | 26 0.26 42.12 1057 | 1 0.01 42.13 1058 | 4 0.04 42.17 1059 | 29 0.29 42.46 1060 | 132 1.32 43.78 1063 | 11 0.11 43.89 1065 | 125 1.25 45.14 1067 | 7 0.07 45.21 1069 | 44 0.44 45.65 1070 | 38 0.38 46.03 1071 | 66 0.66 46.69 1073 | 1 0.01 46.70 1075 | 105 1.05 47.75 1079 | 40 0.40 48.15 1080 | 175 1.75 49.90 1081 | 191 1.91 51.81 1082 | 11 0.11 51.92 1083 | 147 1.47 53.39 1084 | 5 0.05 53.44 1085 | 16 0.16 53.60 1086 | 3 0.03 53.63 1087 | 65 0.65 54.28 1088 | 4 0.04 54.32 1089 | 1 0.01 54.33 1090 | 44 0.44 54.77 1091 | 11 0.11 54.88 1093 | 5 0.05 54.93 1094 | 12 0.12 55.05 1095 | 2 0.02 55.07 1096 | 38 0.38 55.45 1098 | 22 0.22 55.67 1099 | 12 0.12 55.79 1100 | 95 0.95 56.74 1102 | 22 0.22 56.96 1104 | 16 0.16 57.12 1106 | 3 0.03 57.15 1108 | 161 1.61 58.76 1109 | 1 0.01 58.77 1110 | 96 0.96 59.73 1111 | 2 0.02 59.75 1114 | 2 0.02 59.77 1115 | 14 0.14 59.91 1119 | 23 0.23 60.14 1120 | 119 1.19 61.33 1121 | 11 0.11 61.44 1122 | 63 0.63 62.07 1123 | 9 0.09 62.16 1126 | 2 0.02 62.18 1127 | 24 0.24 62.42 1128 | 11 0.11 62.53 1129 | 1 0.01 62.54 1130 | 83 0.83 63.37 1131 | 1 0.01 63.38 1132 | 4 0.04 63.42 1133 | 1 0.01 63.43 1138 | 21 0.21 63.64 1139 | 6 0.06 63.70 1140 | 39 0.39 64.09 1142 | 1 0.01 64.10 1143 | 70 0.70 64.80 1144 | 26 0.26 65.06 1146 | 3 0.03 65.09 1150 | 94 0.94 66.03 1156 | 4 0.04 66.07 1159 | 44 0.44 66.51 1160 | 148 1.48 67.99 1161 | 26 0.26 68.25 1167 | 1 0.01 68.26 1168 | 7 0.07 68.33 1170 | 215 2.15 70.48 1171 | 5 0.05 70.53 1173 | 7 0.07 70.60 1174 | 22 0.22 70.82 1175 | 205 2.05 72.87 1179 | 5 0.05 72.92 1180 | 3 0.03 72.95 1181 | 1 0.01 72.96 1185 | 1 0.01 72.97 1187 | 8 0.08 73.05 1189 | 4 0.04 73.09 1190 | 84 0.84 73.93 1192 | 1 0.01 73.94 1193 | 11 0.11 74.05 1197 | 2 0.02 74.07 1200 | 14 0.14 74.21 1204 | 3 0.03 74.24 1207 | 15 0.15 74.39 1210 | 13 0.13 74.52 1211 | 3 0.03 74.55 1214 | 11 0.11 74.66 1215 | 58 0.58 75.24 1218 | 6 0.06 75.30 1219 | 11 0.11 75.41 1220 | 4 0.04 75.45 1229 | 23 0.23 75.68 1230 | 1 0.01 75.69 1232 | 1 0.01 75.70 1234 | 2 0.02 75.72 1236 | 2 0.02 75.74 1240 | 62 0.62 76.36 1250 | 86 0.86 77.22 1251 | 2 0.02 77.24 1252 | 1 0.01 77.25 1255 | 1 0.01 77.26 1260 | 1 0.01 77.27 1268 | 2 0.02 77.29 1270 | 21 0.21 77.50 1272 | 5 0.05 77.55 1276 | 9 0.09 77.64 1280 | 16 0.16 77.80 1290 | 17 0.17 77.97 1295 | 64 0.64 78.61 1300 | 3 0.03 78.64 1309 | 19 0.19 78.83 1310 | 45 0.45 79.28 1315 | 93 0.93 80.21 1320 | 2 0.02 80.23 1330 | 70 0.70 80.93 1340 | 8 0.08 81.01 1347 | 5 0.05 81.06 1355 | 8 0.08 81.14 1360 | 21 0.21 81.35 1368 | 1 0.01 81.36 1370 | 12 0.12 81.48 1380 | 77 0.77 82.25 1390 | 39 0.39 82.64 1400 | 12 0.12 82.76 1410 | 1 0.01 82.77 1415 | 96 0.96 83.73 1420 | 12 0.12 83.85 1430 | 5 0.05 83.90 1440 | 9 0.09 83.99 1449 | 1 0.01 84.00 1460 | 4 0.04 84.04 1470 | 1 0.01 84.05 1480 | 3 0.03 84.08 1484 | 1 0.01 84.09 1490 | 5 0.05 84.14 1500 | 5 0.05 84.19 1510 | 1 0.01 84.20 1520 | 13 0.13 84.33 1530 | 4 0.04 84.37 1540 | 3 0.03 84.40 1550 | 34 0.34 84.74 1555 | 15 0.15 84.89 1563 | 1 0.01 84.90 1580 | 1 0.01 84.91 1590 | 1 0.01 84.92 1600 | 45 0.45 85.37 1620 | 2 0.02 85.39 1630 | 1 0.01 85.40 1638 | 1 0.01 85.41 1640 | 1 0.01 85.42 1645 | 5 0.05 85.47 1680 | 14 0.14 85.61 1685 | 2 0.02 85.63 1720 | 1 0.01 85.64 1730 | 1 0.01 85.65 1740 | 3 0.03 85.68 1760 | 1 0.01 85.69 1780 | 2 0.02 85.71 1800 | 2 0.02 85.73 1811 | 1 0.01 85.74 1880 | 1 0.01 85.75 2190 | 1 0.01 85.76 2370 | 1 0.01 85.77 9999 | 776 7.76 93.53 . | 647 6.47 100.00 ------------+----------------------------------- Total | 10,000 100.00 by Jean Roth , jroth@nber.org , 18 Apr 2016