Python Data Visualization Essentials Guide

total Total	speeding Speeding	alcohol Alcohol	not_distracted Not Distracted	no_previous No Previous	ins_premium Ins Premium	ins_losses Ins Losses	abbrev Abbrev
18.8	7.332000000000001	5.64	18.048	15.04	784.55	145.08	AL
18.1	7.421	4.525	16.290000000000003	17.014	1053.48	133.93	AK
18.6	6.51	5.208000000000001	15.624	17.856	899.47	110.35	AZ
22.4	4.032	5.824	21.056	21.28	827.34	142.39	AR
12	4.2	3.36	10.92	10.68	878.41	165.63	CA
13.6	5.032	3.808	10.743999999999998	12.92	835.5	139.91	CO
10.8	4.968	3.888	9.396	8.856	1068.73	167.02	CT
16.2	6.156000000000001	4.86	14.094	16.038	1137.87	151.48	DE
5.9	2.006	1.5930000000000002	5.9	5.9	1273.89	136.05	DC
17.9	3.759	5.190999999999999	16.468	16.826	1160.13	144.18	FL


CREATE TABLE car_crashes (
  "total" DOUBLE,
  "speeding" DOUBLE,
  "alcohol" DOUBLE,
  "not_distracted" DOUBLE,
  "no_previous" DOUBLE,
  "ins_premium" DOUBLE,
  "ins_losses" DOUBLE,
  "abbrev" VARCHAR
);