Uber And Urban Crime

CREATE TABLE uberdata_9_3 (
  "unnamed_0" BIGINT,
  "inc_month" BIGINT,
  "identifier" VARCHAR,
  "inc_year" BIGINT,
  "city_cat" VARCHAR,
  "homicide" BIGINT,
  "kidnapping" BIGINT,
  "sex_forcible" BIGINT,
  "robbery" BIGINT,
  "assault" BIGINT,
  "arson" BIGINT,
  "extortion_blackmail" BIGINT,
  "burglary_bne" BIGINT,
  "larceny_theft" BIGINT,
  "motor_vehicle_theft" BIGINT,
  "counterfit_forge" BIGINT,
  "fraud" BIGINT,
  "embezzelment" BIGINT,
  "stolen_property" BIGINT,
  "destruction_property" BIGINT,
  "drug_offenses" BIGINT,
  "sex_nonforcible" BIGINT,
  "porn" BIGINT,
  "gambling" BIGINT,
  "prostitution" BIGINT,
  "bribery" BIGINT,
  "weapon_violations" BIGINT,
  "human_traffic" BIGINT,
  "offense_count" BIGINT,
  "date_nibrs" VARCHAR,
  "date_uber" VARCHAR,
  "uber" BOOLEAN,
  "treated_month" BIGINT,
  "totalworkers" BIGINT,
  "drovealone" DOUBLE,
  "carpool" DOUBLE,
  "public" DOUBLE,
  "age" DOUBLE,
  "male" DOUBLE,
  "skin_white" DOUBLE,
  "skin_black" DOUBLE,
  "nonlatino_white" DOUBLE,
  "income" BIGINT,
  "poverty" DOUBLE,
  "commute_time" DOUBLE,
  "owner_occupied" DOUBLE,
  "rental" DOUBLE,
  "vehicle_0" DOUBLE,
  "vehicle_1" DOUBLE,
  "vehicle_2" DOUBLE,
  "vehicle_3_plus" DOUBLE,
  "pop" BIGINT,
  "car_to_work" DOUBLE,
  "drovealone_dup" DOUBLE,
  "carpooled_dup" DOUBLE,
  "carpool_2" DOUBLE,
  "carpool_3" DOUBLE,
  "carpool_4_plus" DOUBLE,
  "workers_per_van" DOUBLE,
  "public_transit" DOUBLE,
  "walk" DOUBLE,
  "bike" DOUBLE,
  "cab_other" DOUBLE,
  "work_home" DOUBLE,
  "work_in_state_in_county" DOUBLE,
  "work_in_state_out_county" DOUBLE,
  "work_out_state" DOUBLE,
  "work_in_place" DOUBLE,
  "com_10_less" DOUBLE,
  "com_15" DOUBLE,
  "com_20" DOUBLE,
  "com_25" DOUBLE,
  "com_30" DOUBLE,
  "com_35" DOUBLE,
  "com_40" DOUBLE,
  "com_45_to_60" DOUBLE,
  "com_60_plus" DOUBLE,
  "high_school_below" DOUBLE,
  "high_school" DOUBLE,
  "some_college" DOUBLE,
  "bachelors_degree" DOUBLE,
  "married" DOUBLE,
  "widowed" DOUBLE,
  "divorced" DOUBLE,
  "seperated" DOUBLE,
  "never_married" DOUBLE,
  "land_area" BIGINT,
  "water_area" BIGINT,
  "city_name" VARCHAR,
  "state" VARCHAR,
  "treated" BIGINT,
  "measure_change" BIGINT,
  "density" DOUBLE,
  "t" BIGINT,
  "t_sq" BIGINT,
  "edu_highschool_up" DOUBLE,
  "water_proportion" DOUBLE,
  "against_persons" BIGINT,
  "major_violent" BIGINT,
  "other_violent" BIGINT
);