Summary statistics for accident dataset : by Jean Roth , jroth@nber.org , 22 Oct 2016 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- state | 32,166 27.60477 16.25517 1 56 st_case | 32,166 276729.6 162486.3 10001 560130 ve_total | 32,166 1.556177 .8897221 1 58 ve_forms | 32,166 1.520954 .8529605 1 58 pvh_invl | 32,166 .0352235 .2658378 0 11 -------------+--------------------------------------------------------- peds | 32,166 .2148542 .4808842 0 16 pernotmvit | 32,166 .2237456 .5076962 0 16 permvit | 32,166 2.281602 1.940505 0 93 persons | 32,166 2.290493 1.945197 0 93 county | 32,166 91.22505 94.67032 1 999 -------------+--------------------------------------------------------- city | 32,166 1197.811 1889.386 0 9999 day | 32,166 15.55621 8.77402 1 31 month | 32,166 6.79068 3.354665 1 12 year | 32,166 2015 0 2015 2015 day_week | 32,166 4.101598 2.093137 1 7 -------------+--------------------------------------------------------- hour | 32,166 13.46506 10.21157 0 99 minute | 32,166 28.95477 18.39775 0 99 nhs | 32,166 .7327302 1.804388 0 9 rur_urb | 32,166 1.976932 1.779417 1 9 func_sys | 32,166 11.3874 25.61953 1 99 -------------+--------------------------------------------------------- rd_owner | 32,166 28.3278 42.878 1 99 route | 32,166 3.758472 2.056157 1 9 tway_id | 0 tway_id2 | 0 milept | 32,166 13996.34 34398.92 0 99999 -------------+--------------------------------------------------------- latitude | 32,166 37.0115 7.164869 19.27305 99.9999 longitud | 32,166 -85.20939 87.15392 -166.5496 999.9999 sp_jur | 32,166 .0372754 .4213451 0 9 harm_ev | 32,166 18.11863 14.11228 1 99 man_coll | 32,166 1.832463 5.527316 0 99 -------------+--------------------------------------------------------- reljct1 | 32,166 .0459181 .2611231 0 9 reljct2 | 32,166 2.198906 5.242728 1 99 typ_int | 32,166 1.575017 4.725029 1 99 wrk_zone | 32,166 .034322 .2935711 0 4 rel_road | 32,166 2.386619 4.525417 1 99 -------------+--------------------------------------------------------- lgt_cond | 32,166 1.88836 1.146641 1 9 weather1 | 32,166 3.65448 10.55676 1 99 weather2 | 32,166 .3017783 2.06151 0 99 weather | 32,166 3.808711 10.58145 1 99 sch_bus | 32,166 .0032954 .0573118 0 1 -------------+--------------------------------------------------------- rail | 0 not_hour | 32,166 58.14677 42.99274 0 99 not_min | 32,166 65.83632 36.48006 0 99 arr_hour | 32,166 60.19975 42.7981 0 99 arr_min | 32,166 67.46524 36.2517 0 99 -------------+--------------------------------------------------------- hosp_hr | 32,166 73.44155 35.86434 0 99 hosp_mn | 32,166 77.56358 30.12071 0 99 cf1 | 32,166 1.207362 5.47557 0 99 cf2 | 32,166 .2029161 3.48124 0 99 cf3 | 32,166 .1108935 3.19996 0 99 -------------+--------------------------------------------------------- fatals | 32,166 1.090966 .3657935 1 10 drunk_dr | 32,166 .283094 .4676424 0 3 by Jean Roth , jroth@nber.org , 22 Oct 2016