Frequencies for first 10,000 rows of lag_hrs variable in person dataset : lag_hrs | Freq. Percent Cum. ------------+----------------------------------- 0 | 2,601 26.01 26.01 1 | 337 3.37 29.38 2 | 131 1.31 30.69 3 | 80 0.80 31.49 4 | 50 0.50 31.99 5 | 35 0.35 32.34 6 | 21 0.21 32.55 7 | 20 0.20 32.75 8 | 15 0.15 32.90 9 | 16 0.16 33.06 10 | 7 0.07 33.13 11 | 7 0.07 33.20 12 | 7 0.07 33.27 13 | 15 0.15 33.42 14 | 11 0.11 33.53 15 | 9 0.09 33.62 16 | 4 0.04 33.66 17 | 7 0.07 33.73 18 | 9 0.09 33.82 19 | 8 0.08 33.90 20 | 7 0.07 33.97 22 | 8 0.08 34.05 23 | 6 0.06 34.11 24 | 15 0.15 34.26 25 | 5 0.05 34.31 26 | 9 0.09 34.40 27 | 4 0.04 34.44 29 | 2 0.02 34.46 30 | 3 0.03 34.49 31 | 5 0.05 34.54 32 | 2 0.02 34.56 33 | 3 0.03 34.59 34 | 5 0.05 34.64 35 | 3 0.03 34.67 36 | 1 0.01 34.68 37 | 4 0.04 34.72 38 | 1 0.01 34.73 39 | 3 0.03 34.76 40 | 3 0.03 34.79 41 | 3 0.03 34.82 42 | 5 0.05 34.87 43 | 6 0.06 34.93 44 | 6 0.06 34.99 46 | 1 0.01 35.00 47 | 6 0.06 35.06 48 | 7 0.07 35.13 49 | 2 0.02 35.15 50 | 2 0.02 35.17 51 | 2 0.02 35.19 52 | 1 0.01 35.20 53 | 3 0.03 35.23 54 | 2 0.02 35.25 55 | 1 0.01 35.26 56 | 3 0.03 35.29 57 | 3 0.03 35.32 58 | 1 0.01 35.33 59 | 2 0.02 35.35 60 | 1 0.01 35.36 61 | 1 0.01 35.37 62 | 2 0.02 35.39 63 | 1 0.01 35.40 64 | 1 0.01 35.41 65 | 1 0.01 35.42 66 | 2 0.02 35.44 67 | 1 0.01 35.45 68 | 3 0.03 35.48 69 | 1 0.01 35.49 70 | 1 0.01 35.50 71 | 2 0.02 35.52 72 | 3 0.03 35.55 73 | 2 0.02 35.57 74 | 2 0.02 35.59 75 | 1 0.01 35.60 76 | 3 0.03 35.63 80 | 1 0.01 35.64 81 | 2 0.02 35.66 83 | 2 0.02 35.68 85 | 1 0.01 35.69 86 | 1 0.01 35.70 87 | 1 0.01 35.71 91 | 2 0.02 35.73 92 | 1 0.01 35.74 93 | 2 0.02 35.76 94 | 2 0.02 35.78 95 | 1 0.01 35.79 96 | 6 0.06 35.85 98 | 3 0.03 35.88 100 | 2 0.02 35.90 101 | 1 0.01 35.91 103 | 1 0.01 35.92 104 | 1 0.01 35.93 105 | 1 0.01 35.94 108 | 1 0.01 35.95 111 | 2 0.02 35.97 112 | 2 0.02 35.99 114 | 1 0.01 36.00 115 | 1 0.01 36.01 116 | 1 0.01 36.02 121 | 2 0.02 36.04 123 | 2 0.02 36.06 124 | 2 0.02 36.08 125 | 2 0.02 36.10 128 | 1 0.01 36.11 129 | 2 0.02 36.13 130 | 1 0.01 36.14 131 | 1 0.01 36.15 132 | 1 0.01 36.16 136 | 2 0.02 36.18 137 | 1 0.01 36.19 140 | 2 0.02 36.21 141 | 1 0.01 36.22 142 | 1 0.01 36.23 145 | 1 0.01 36.24 146 | 1 0.01 36.25 147 | 1 0.01 36.26 149 | 2 0.02 36.28 150 | 1 0.01 36.29 152 | 1 0.01 36.30 154 | 1 0.01 36.31 158 | 2 0.02 36.33 160 | 1 0.01 36.34 161 | 2 0.02 36.36 162 | 1 0.01 36.37 163 | 1 0.01 36.38 164 | 3 0.03 36.41 166 | 1 0.01 36.42 167 | 1 0.01 36.43 168 | 1 0.01 36.44 170 | 2 0.02 36.46 171 | 1 0.01 36.47 172 | 2 0.02 36.49 178 | 1 0.01 36.50 179 | 1 0.01 36.51 181 | 1 0.01 36.52 182 | 2 0.02 36.54 183 | 2 0.02 36.56 187 | 3 0.03 36.59 188 | 1 0.01 36.60 189 | 3 0.03 36.63 192 | 2 0.02 36.65 198 | 1 0.01 36.66 199 | 1 0.01 36.67 201 | 1 0.01 36.68 203 | 2 0.02 36.70 205 | 1 0.01 36.71 207 | 1 0.01 36.72 209 | 1 0.01 36.73 214 | 1 0.01 36.74 216 | 3 0.03 36.77 217 | 1 0.01 36.78 218 | 1 0.01 36.79 222 | 1 0.01 36.80 223 | 1 0.01 36.81 234 | 1 0.01 36.82 236 | 1 0.01 36.83 239 | 1 0.01 36.84 240 | 4 0.04 36.88 241 | 1 0.01 36.89 242 | 1 0.01 36.90 244 | 1 0.01 36.91 245 | 1 0.01 36.92 249 | 1 0.01 36.93 250 | 1 0.01 36.94 252 | 2 0.02 36.96 253 | 2 0.02 36.98 254 | 1 0.01 36.99 256 | 2 0.02 37.01 260 | 2 0.02 37.03 261 | 1 0.01 37.04 264 | 1 0.01 37.05 265 | 1 0.01 37.06 266 | 1 0.01 37.07 274 | 1 0.01 37.08 278 | 1 0.01 37.09 285 | 1 0.01 37.10 292 | 1 0.01 37.11 294 | 2 0.02 37.13 304 | 1 0.01 37.14 305 | 2 0.02 37.16 307 | 1 0.01 37.17 308 | 1 0.01 37.18 310 | 1 0.01 37.19 311 | 2 0.02 37.21 314 | 1 0.01 37.22 316 | 2 0.02 37.24 319 | 1 0.01 37.25 323 | 1 0.01 37.26 327 | 2 0.02 37.28 328 | 1 0.01 37.29 332 | 1 0.01 37.30 336 | 1 0.01 37.31 337 | 2 0.02 37.33 340 | 1 0.01 37.34 342 | 1 0.01 37.35 343 | 1 0.01 37.36 347 | 1 0.01 37.37 357 | 1 0.01 37.38 358 | 2 0.02 37.40 363 | 1 0.01 37.41 366 | 1 0.01 37.42 371 | 1 0.01 37.43 375 | 1 0.01 37.44 379 | 1 0.01 37.45 380 | 1 0.01 37.46 383 | 1 0.01 37.47 387 | 1 0.01 37.48 389 | 1 0.01 37.49 391 | 1 0.01 37.50 397 | 1 0.01 37.51 403 | 1 0.01 37.52 406 | 1 0.01 37.53 408 | 1 0.01 37.54 412 | 1 0.01 37.55 417 | 1 0.01 37.56 422 | 1 0.01 37.57 424 | 2 0.02 37.59 440 | 1 0.01 37.60 442 | 1 0.01 37.61 445 | 1 0.01 37.62 447 | 1 0.01 37.63 454 | 1 0.01 37.64 456 | 3 0.03 37.67 459 | 1 0.01 37.68 462 | 1 0.01 37.69 479 | 1 0.01 37.70 480 | 1 0.01 37.71 481 | 1 0.01 37.72 484 | 1 0.01 37.73 487 | 1 0.01 37.74 490 | 1 0.01 37.75 498 | 1 0.01 37.76 502 | 1 0.01 37.77 508 | 1 0.01 37.78 512 | 1 0.01 37.79 517 | 1 0.01 37.80 522 | 1 0.01 37.81 536 | 1 0.01 37.82 549 | 1 0.01 37.83 550 | 2 0.02 37.85 558 | 1 0.01 37.86 561 | 1 0.01 37.87 571 | 1 0.01 37.88 577 | 1 0.01 37.89 578 | 1 0.01 37.90 590 | 1 0.01 37.91 600 | 1 0.01 37.92 615 | 1 0.01 37.93 633 | 1 0.01 37.94 644 | 1 0.01 37.95 654 | 1 0.01 37.96 663 | 1 0.01 37.97 688 | 1 0.01 37.98 692 | 1 0.01 37.99 701 | 1 0.01 38.00 713 | 1 0.01 38.01 715 | 1 0.01 38.02 725 | 1 0.01 38.03 735 | 1 0.01 38.04 999 | 233 2.33 40.37 . | 5,963 59.63 100.00 ------------+----------------------------------- Total | 10,000 100.00 by Jean Roth , jroth@nber.org , 18 Apr 2016