Summary statistics for vehicle dataset : by Jean Roth , jroth@nber.org , 18 Apr 2016 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- state | 732 43 0 43 43 ve_forms | 732 1.617486 .7237387 1 4 harm_ev | 732 14.15437 9.809091 1 43 man_coll | 732 1.040984 1.343154 0 9 hit_run | 732 .1748634 .5555558 0 2 -------------+--------------------------------------------------------- veh_no | 732 1.308743 .5563021 1 4 make | 732 38.15574 24.98389 1 99 model | 732 45.5929 35.06076 0 99 body_typ | 732 19.17077 30.15132 2 99 mod_year | 732 80.69126 7.445031 58 99 -------------+--------------------------------------------------------- reg_stat | 732 43.25273 5.028815 0 99 rollover | 732 .1065574 .4179432 0 2 j_knife | 732 .0150273 .1217446 0 1 trav_sp | 732 98.7418 4.941823 0 99 haz_carg | 732 .3825137 1.8138 0 9 -------------+--------------------------------------------------------- tow_veh | 732 .3729508 1.757993 0 9 spec_use | 732 .3647541 1.765148 0 9 emer_use | 732 0 0 0 0 impact1 | 732 12.25546 19.7242 0 99 impact2 | 732 12.39481 19.97751 0 99 -------------+--------------------------------------------------------- deformed | 732 4.240437 2.448843 0 9 impacts | 732 .920765 .3125386 0 2 towaway | 732 1.673497 .4779199 1 3 fire_exp | 732 .0177596 .1321667 0 1 ocupants | 732 1.583333 1.139945 0 12 -------------+--------------------------------------------------------- deaths | 732 .5 .6416889 0 5 veh_cf1 | 732 2.685792 8.645767 0 31 veh_cf2 | 732 0 0 0 0 veh_man | 732 1.960383 3.229026 1 17 m_harm | 732 13.20355 9.465805 1 43 -------------+--------------------------------------------------------- wgtcd_tr | 350 7.654286 2.893114 1 9 vin_lngt | 732 38.80601 38.28203 5 99 dr_pres | 732 1.001366 .0369611 1 2 dr_drink | 732 .2554645 .4364202 0 1 l_state | 732 43.06694 2.086279 36 99 -------------+--------------------------------------------------------- l_cl_veh | 732 2.987705 2.110131 1 9 l_status | 732 2.601093 2.149514 1 9 l_restri | 732 .9344262 2.51639 0 9 dr_train | 732 8.281421 2.411789 0 9 viol_chg | 732 2.534153 2.558788 0 9 -------------+--------------------------------------------------------- prev_acc | 732 9.062842 28.56689 0 99 prev_sus | 732 9.068306 28.56525 0 99 prev_dwi | 732 9.077869 28.56237 0 99 prev_spd | 732 9.06694 28.5658 0 99 prev_oth | 732 9.663934 28.39985 0 99 -------------+--------------------------------------------------------- last_mo | 732 11.31421 28.09817 0 99 last_yr | 732 36.17896 43.49004 0 99 first_mo | 732 11.11475 28.1285 0 99 first_yr | 732 36.02732 43.32061 0 99 dr_cf1 | 732 27.95082 21.12558 0 99 -------------+--------------------------------------------------------- dr_cf2 | 732 14.48907 29.19782 0 99 dr_cf3 | 732 3.077869 16.04851 0 99 vin_1 | 0 vin_2 | 0 vin_3 | 0 -------------+--------------------------------------------------------- vin_4 | 0 vin_5 | 0 vin_6 | 0 vin_7 | 0 vin_8 | 0 -------------+--------------------------------------------------------- vin_9 | 0 vin_10 | 0 fldcd_tr | 0 st_case | 732 430291.7 172.0548 430001 430587 mak_mod | 732 3861.167 2495.445 199 9999 -------------+--------------------------------------------------------- vin_wgt | 649 6392.926 3806.452 0 9999 whlbs_sh | 649 5204.897 4504.345 0 9999 whlbs_lg | 649 4730.458 4954.36 0 9999 mcycl_ds | 301 9468.362 2173.267 50 9999 vin | 0 -------------+--------------------------------------------------------- vina_mod | 0 ser_tr | 0 vin_bt | 0 by Jean Roth , jroth@nber.org , 18 Apr 2016