Frequencies for first 10,000 rows of ser_tr variable in person dataset : VIN | Series-Truc | k | Freq. Percent Cum. ------------+----------------------------------- | 913 9.13 9.13 *** | 4,123 41.23 50.36 100 | 3 0.03 50.39 150 | 2 0.02 50.41 210 | 1 0.01 50.42 620 | 26 0.26 50.68 999 | 3,405 34.05 84.73 A10 | 12 0.12 84.85 BRO | 16 0.16 85.01 C10 | 238 2.38 87.39 C15 | 42 0.42 87.81 C20 | 74 0.74 88.55 C25 | 16 0.16 88.71 C30 | 12 0.12 88.83 C35 | 3 0.03 88.86 C40 | 1 0.01 88.87 C50 | 3 0.03 88.90 C60 | 10 0.10 89.00 C65 | 5 0.05 89.05 CGS | 1 0.01 89.06 CHK | 3 0.03 89.09 CLU | 12 0.12 89.21 COF | 395 3.95 93.16 COL | 6 0.06 93.22 CON | 9 0.09 93.31 COU | 28 0.28 93.59 CPU | 3 0.03 93.62 CSC | 5 0.05 93.67 CTS | 40 0.40 94.07 D10 | 41 0.41 94.48 D20 | 5 0.05 94.53 D30 | 4 0.04 94.57 D40 | 1 0.01 94.58 D60 | 2 0.02 94.60 DC9 | 1 0.01 94.61 DH9 | 3 0.03 94.64 DJ9 | 1 0.01 94.65 DK9 | 1 0.01 94.66 E55 | 1 0.01 94.67 E65 | 2 0.02 94.69 ELC | 28 0.28 94.97 FC9 | 1 0.01 94.98 FH9 | 2 0.02 95.00 FJ9 | 1 0.01 95.01 FLS | 7 0.07 95.08 FN9 | 2 0.02 95.10 HI9 | 4 0.04 95.14 HLX | 16 0.16 95.30 HTC | 2 0.02 95.32 HTP | 7 0.07 95.39 HTW | 8 0.08 95.47 JEE | 16 0.16 95.63 JET | 1 0.01 95.64 JH9 | 2 0.02 95.66 JJ9 | 1 0.01 95.67 K10 | 74 0.74 96.41 K15 | 14 0.14 96.55 K20 | 5 0.05 96.60 K25 | 1 0.01 96.61 KOM | 4 0.04 96.65 LCH | 16 0.16 96.81 LDS | 3 0.03 96.84 LN1 | 1 0.01 96.85 LTC | 10 0.10 96.95 LUV | 13 0.13 97.08 M65 | 2 0.02 97.10 MHC | 14 0.14 97.24 MHV | 26 0.26 97.50 MXV | 1 0.01 97.51 MXW | 2 0.02 97.53 NC9 | 1 0.01 97.54 P10 | 2 0.02 97.56 P62 | 28 0.28 97.84 PAR | 3 0.03 97.87 PL5 | 3 0.03 97.90 PYS | 1 0.01 97.91 RAM | 1 0.01 97.92 RAN | 15 0.15 98.07 S55 | 1 0.01 98.08 SCT | 3 0.03 98.11 SPO | 3 0.03 98.14 SPR | 1 0.01 98.15 SPT | 41 0.41 98.56 T80 | 1 0.01 98.57 TNS | 1 0.01 98.58 TRA | 7 0.07 98.65 V90 | 1 0.01 98.66 VAN | 115 1.15 99.81 W10 | 15 0.15 99.96 W20 | 2 0.02 99.98 WAG | 2 0.02 100.00 ------------+----------------------------------- Total | 10,000 100.00 by Jean Roth , jroth@nber.org , 22 Apr 2016