InsertData.sql, Sql Server

Language: Layout:

create table InsuranceData(age int,gender varchar(6),bmi float,children int,smoker varchar(3),region varchar(9),charges float);

insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	19,'female',27.9,0,'yes','southwest',16884.924)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	18,'male',33.77,1,'no','southeast',1725.5523)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	28,'male',33,3,'no','southeast',4449.462)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	33,'male',22.705,0,'no','northwest',21984.47061)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	32,'male',28.88,0,'no','northwest',3866.8552)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	31,'female',25.74,0,'no','southeast',3756.6216)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	46,'female',33.44,1,'no','southeast',8240.5896)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	37,'female',27.74,3,'no','northwest',7281.5056)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	37,'male',29.83,2,'no','northeast',6406.4107)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	60,'female',25.84,0,'no','northwest',28923.13692)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	25,'male',26.22,0,'no','northeast',2721.3208)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	62,'female',26.29,0,'yes','southeast',27808.7251)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	23,'male',34.4,0,'no','southwest',1826.843)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	56,'female',39.82,0,'no','southeast',11090.7178)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	27,'male',42.13,0,'yes','southeast',39611.7577)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	19,'male',24.6,1,'no','southwest',1837.237)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	52,'female',30.78,1,'no','northeast',10797.3362)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	23,'male',23.845,0,'no','northeast',2395.17155)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	56,'male',40.3,0,'no','southwest',10602.385)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	30,'male',35.3,0,'yes','southwest',36837.467)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	60,'female',36.005,0,'no','northeast',13228.84695)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	30,'female',32.4,1,'no','southwest',4149.736)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	18,'male',34.1,0,'no','southeast',1137.011)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	34,'female',31.92,1,'yes','northeast',37701.8768)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	37,'male',28.025,2,'no','northwest',6203.90175)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	59,'female',27.72,3,'no','southeast',14001.1338)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	63,'female',23.085,0,'no','northeast',14451.83515)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	55,'female',32.775,2,'no','northwest',12268.63225)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	23,'male',17.385,1,'no','northwest',2775.19215)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	31,'male',36.3,2,'yes','southwest',38711)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	22,'male',35.6,0,'yes','southwest',35585.576)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	18,'female',26.315,0,'no','northeast',2198.18985)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	19,'female',28.6,5,'no','southwest',4687.797)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	63,'male',28.31,0,'no','northwest',13770.0979)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	28,'male',36.4,1,'yes','southwest',51194.55914)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	19,'male',20.425,0,'no','northwest',1625.43375)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	62,'female',32.965,3,'no','northwest',15612.19335)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	26,'male',20.8,0,'no','southwest',2302.3)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	35,'male',36.67,1,'yes','northeast',39774.2763)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	60,'male',39.9,0,'yes','southwest',48173.361)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	24,'female',26.6,0,'no','northeast',3046.062)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	31,'female',36.63,2,'no','southeast',4949.7587)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	41,'male',21.78,1,'no','southeast',6272.4772)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	37,'female',30.8,2,'no','southeast',6313.759)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	38,'male',37.05,1,'no','northeast',6079.6715)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	55,'male',37.3,0,'no','southwest',20630.28351)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	18,'female',38.665,2,'no','northeast',3393.35635)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	28,'female',34.77,0,'no','northwest',3556.9223)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	60,'female',24.53,0,'no','southeast',12629.8967)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	36,'male',35.2,1,'yes','southeast',38709.176)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	18,'female',35.625,0,'no','northeast',2211.13075)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	21,'female',33.63,2,'no','northwest',3579.8287)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	48,'male',28,1,'yes','southwest',23568.272)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	36,'male',34.43,0,'yes','southeast',37742.5757)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	40,'female',28.69,3,'no','northwest',8059.6791)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	58,'male',36.955,2,'yes','northwest',47496.49445)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	58,'female',31.825,2,'no','northeast',13607.36875)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	18,'male',31.68,2,'yes','southeast',34303.1672)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	53,'female',22.88,1,'yes','southeast',23244.7902)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	34,'female',37.335,2,'no','northwest',5989.52365)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	43,'male',27.36,3,'no','northeast',8606.2174)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	25,'male',33.66,4,'no','southeast',4504.6624)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	64,'male',24.7,1,'no','northwest',30166.61817)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	28,'female',25.935,1,'no','northwest',4133.64165)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	20,'female',22.42,0,'yes','northwest',14711.7438)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	19,'female',28.9,0,'no','southwest',1743.214)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	61,'female',39.1,2,'no','southwest',14235.072)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	40,'male',26.315,1,'no','northwest',6389.37785)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	40,'female',36.19,0,'no','southeast',5920.1041)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	28,'male',23.98,3,'yes','southeast',17663.1442)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	27,'female',24.75,0,'yes','southeast',16577.7795)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	31,'male',28.5,5,'no','northeast',6799.458)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	53,'female',28.1,3,'no','southwest',11741.726)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	58,'male',32.01,1,'no','southeast',11946.6259)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	44,'male',27.4,2,'no','southwest',7726.854)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	57,'male',34.01,0,'no','northwest',11356.6609)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	29,'female',29.59,1,'no','southeast',3947.4131)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	21,'male',35.53,0,'no','southeast',1532.4697)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	22,'female',39.805,0,'no','northeast',2755.02095)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	41,'female',32.965,0,'no','northwest',6571.02435)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	31,'male',26.885,1,'no','northeast',4441.21315)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	45,'female',38.285,0,'no','northeast',7935.29115)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	22,'male',37.62,1,'yes','southeast',37165.1638)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	48,'female',41.23,4,'no','northwest',11033.6617)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	37,'female',34.8,2,'yes','southwest',39836.519)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	45,'male',22.895,2,'yes','northwest',21098.55405)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	57,'female',31.16,0,'yes','northwest',43578.9394)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	56,'female',27.2,0,'no','southwest',11073.176)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	46,'female',27.74,0,'no','northwest',8026.6666)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	55,'female',26.98,0,'no','northwest',11082.5772)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	21,'female',39.49,0,'no','southeast',2026.9741)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	53,'female',24.795,1,'no','northwest',10942.13205)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	59,'male',29.83,3,'yes','northeast',30184.9367)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	35,'male',34.77,2,'no','northwest',5729.0053)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	64,'female',31.3,2,'yes','southwest',47291.055)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	28,'female',37.62,1,'no','southeast',3766.8838)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	54,'female',30.8,3,'no','southwest',12105.32)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	55,'male',38.28,0,'no','southeast',10226.2842)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	56,'male',19.95,0,'yes','northeast',22412.6485)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	38,'male',19.3,0,'yes','southwest',15820.699)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	41,'female',31.6,0,'no','southwest',6186.127)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	30,'male',25.46,0,'no','northeast',3645.0894)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	18,'female',30.115,0,'no','northeast',21344.8467)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	61,'female',29.92,3,'yes','southeast',30942.1918)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	34,'female',27.5,1,'no','southwest',5003.853)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	20,'male',28.025,1,'yes','northwest',17560.37975)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	19,'female',28.4,1,'no','southwest',2331.519)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	26,'male',30.875,2,'no','northwest',3877.30425)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	29,'male',27.94,0,'no','southeast',2867.1196)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	63,'male',35.09,0,'yes','southeast',47055.5321)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	54,'male',33.63,1,'no','northwest',10825.2537)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	55,'female',29.7,2,'no','southwest',11881.358)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	37,'male',30.8,0,'no','southwest',4646.759)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	21,'female',35.72,0,'no','northwest',2404.7338)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	52,'male',32.205,3,'no','northeast',11488.31695)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	60,'male',28.595,0,'no','northeast',30259.99556)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	58,'male',49.06,0,'no','southeast',11381.3254)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	29,'female',27.94,1,'yes','southeast',19107.7796)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	49,'female',27.17,0,'no','southeast',8601.3293)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	37,'female',23.37,2,'no','northwest',6686.4313)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	44,'male',37.1,2,'no','southwest',7740.337)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	18,'male',23.75,0,'no','northeast',1705.6245)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	20,'female',28.975,0,'no','northwest',2257.47525)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	44,'male',31.35,1,'yes','northeast',39556.4945)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	47,'female',33.915,3,'no','northwest',10115.00885)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	26,'female',28.785,0,'no','northeast',3385.39915)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	19,'female',28.3,0,'yes','southwest',17081.08)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	52,'female',37.4,0,'no','southwest',9634.538)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	32,'female',17.765,2,'yes','northwest',32734.1863)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	38,'male',34.7,2,'no','southwest',6082.405)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	59,'female',26.505,0,'no','northeast',12815.44495)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	61,'female',22.04,0,'no','northeast',13616.3586)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	53,'female',35.9,2,'no','southwest',11163.568)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	19,'male',25.555,0,'no','northwest',1632.56445)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	20,'female',28.785,0,'no','northeast',2457.21115)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	22,'female',28.05,0,'no','southeast',2155.6815)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	19,'male',34.1,0,'no','southwest',1261.442)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	22,'male',25.175,0,'no','northwest',2045.68525)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	54,'female',31.9,3,'no','southeast',27322.73386)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	22,'female',36,0,'no','southwest',2166.732)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	34,'male',22.42,2,'no','northeast',27375.90478)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	26,'male',32.49,1,'no','northeast',3490.5491)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	34,'male',25.3,2,'yes','southeast',18972.495)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	29,'male',29.735,2,'no','northwest',18157.876)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	30,'male',28.69,3,'yes','northwest',20745.9891)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	29,'female',38.83,3,'no','southeast',5138.2567)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	46,'male',30.495,3,'yes','northwest',40720.55105)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	51,'female',37.73,1,'no','southeast',9877.6077)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	53,'female',37.43,1,'no','northwest',10959.6947)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	19,'male',28.4,1,'no','southwest',1842.519)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	35,'male',24.13,1,'no','northwest',5125.2157)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	48,'male',29.7,0,'no','southeast',7789.635)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	32,'female',37.145,3,'no','northeast',6334.34355)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	42,'female',23.37,0,'yes','northeast',19964.7462999999)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	40,'female',25.46,1,'no','northeast',7077.1894)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	44,'male',39.52,0,'no','northwest',6948.7008)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	48,'male',24.42,0,'yes','southeast',21223.6758)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	18,'male',25.175,0,'yes','northeast',15518.18025)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	30,'male',35.53,0,'yes','southeast',36950.2567)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	50,'female',27.83,3,'no','southeast',19749.38338)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	42,'female',26.6,0,'yes','northwest',21348.706)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	18,'female',36.85,0,'yes','southeast',36149.4835)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	54,'male',39.6,1,'no','southwest',10450.552)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	32,'female',29.8,2,'no','southwest',5152.134)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	37,'male',29.64,0,'no','northwest',5028.1466)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	47,'male',28.215,4,'no','northeast',10407.08585)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	20,'female',37,5,'no','southwest',4830.63)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	32,'female',33.155,3,'no','northwest',6128.79745)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	19,'female',31.825,1,'no','northwest',2719.27975)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	27,'male',18.905,3,'no','northeast',4827.90495)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	63,'male',41.47,0,'no','southeast',13405.3903)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	49,'male',30.3,0,'no','southwest',8116.68)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	18,'male',15.96,0,'no','northeast',1694.7964)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	35,'female',34.8,1,'no','southwest',5246.047)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	24,'female',33.345,0,'no','northwest',2855.43755)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	63,'female',37.7,0,'yes','southwest',48824.45)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	38,'male',27.835,2,'no','northwest',6455.86265)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	54,'male',29.2,1,'no','southwest',10436.096)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	46,'female',28.9,2,'no','southwest',8823.279)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	41,'female',33.155,3,'no','northeast',8538.28845)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	58,'male',28.595,0,'no','northwest',11735.87905)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	18,'female',38.28,0,'no','southeast',1631.8212)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	22,'male',19.95,3,'no','northeast',4005.4225)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	44,'female',26.41,0,'no','northwest',7419.4779)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	44,'male',30.69,2,'no','southeast',7731.4271)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	36,'male',41.895,3,'yes','northeast',43753.33705)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	26,'female',29.92,2,'no','southeast',3981.9768)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	30,'female',30.9,3,'no','southwest',5325.651)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	41,'female',32.2,1,'no','southwest',6775.961)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	29,'female',32.11,2,'no','northwest',4922.9159)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	61,'male',31.57,0,'no','southeast',12557.6053)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	36,'female',26.2,0,'no','southwest',4883.866)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	25,'male',25.74,0,'no','southeast',2137.6536)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	56,'female',26.6,1,'no','northwest',12044.342)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	18,'male',34.43,0,'no','southeast',1137.4697)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	19,'male',30.59,0,'no','northwest',1639.5631)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	39,'female',32.8,0,'no','southwest',5649.715)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	45,'female',28.6,2,'no','southeast',8516.829)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	51,'female',18.05,0,'no','northwest',9644.2525)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	64,'female',39.33,0,'no','northeast',14901.5167)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	19,'female',32.11,0,'no','northwest',2130.6759)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	48,'female',32.23,1,'no','southeast',8871.1517)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	60,'female',24.035,0,'no','northwest',13012.20865)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	27,'female',36.08,0,'yes','southeast',37133.8982)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	46,'male',22.3,0,'no','southwest',7147.105)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	28,'female',28.88,1,'no','northeast',4337.7352)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	59,'male',26.4,0,'no','southeast',11743.299)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	35,'male',27.74,2,'yes','northeast',20984.0936)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	63,'female',31.8,0,'no','southwest',13880.949)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	40,'male',41.23,1,'no','northeast',6610.1097)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	20,'male',33,1,'no','southwest',1980.07)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	40,'male',30.875,4,'no','northwest',8162.71625)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	24,'male',28.5,2,'no','northwest',3537.703)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	34,'female',26.73,1,'no','southeast',5002.7827)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	45,'female',30.9,2,'no','southwest',8520.026)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	41,'female',37.1,2,'no','southwest',7371.772)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	53,'female',26.6,0,'no','northwest',10355.641)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	27,'male',23.1,0,'no','southeast',2483.736)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	26,'female',29.92,1,'no','southeast',3392.9768)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	24,'female',23.21,0,'no','southeast',25081.76784)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	34,'female',33.7,1,'no','southwest',5012.471)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	53,'female',33.25,0,'no','northeast',10564.8845)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	32,'male',30.8,3,'no','southwest',5253.524)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	19,'male',34.8,0,'yes','southwest',34779.615)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	42,'male',24.64,0,'yes','southeast',19515.5416)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	55,'male',33.88,3,'no','southeast',11987.1682)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	28,'male',38.06,0,'no','southeast',2689.4954)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	58,'female',41.91,0,'no','southeast',24227.33724)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	41,'female',31.635,1,'no','northeast',7358.17565)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	47,'male',25.46,2,'no','northeast',9225.2564)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	42,'female',36.195,1,'no','northwest',7443.64305)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	59,'female',27.83,3,'no','southeast',14001.2867)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	19,'female',17.8,0,'no','southwest',1727.785)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	59,'male',27.5,1,'no','southwest',12333.828)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	39,'male',24.51,2,'no','northwest',6710.1919)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	40,'female',22.22,2,'yes','southeast',19444.2658)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	18,'female',26.73,0,'no','southeast',1615.7667)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	31,'male',38.39,2,'no','southeast',4463.2051)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	19,'male',29.07,0,'yes','northwest',17352.6803)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	44,'male',38.06,1,'no','southeast',7152.6714)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	23,'female',36.67,2,'yes','northeast',38511.6283)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	33,'female',22.135,1,'no','northeast',5354.07465)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	55,'female',26.8,1,'no','southwest',35160.13457)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	40,'male',35.3,3,'no','southwest',7196.867)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	63,'female',27.74,0,'yes','northeast',29523.1656)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	54,'male',30.02,0,'no','northwest',24476.47851)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	60,'female',38.06,0,'no','southeast',12648.7034)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	24,'male',35.86,0,'no','southeast',1986.9334)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	19,'male',20.9,1,'no','southwest',1832.094)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	29,'male',28.975,1,'no','northeast',4040.55825)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	18,'male',17.29,2,'yes','northeast',12829.4551)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	63,'female',32.2,2,'yes','southwest',47305.305)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	54,'male',34.21,2,'yes','southeast',44260.7499)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	27,'male',30.3,3,'no','southwest',4260.744)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	50,'male',31.825,0,'yes','northeast',41097.16175)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	55,'female',25.365,3,'no','northeast',13047.33235)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	56,'male',33.63,0,'yes','northwest',43921.1837)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	38,'female',40.15,0,'no','southeast',5400.9805)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	51,'male',24.415,4,'no','northwest',11520.09985)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	19,'male',31.92,0,'yes','northwest',33750.2918)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	58,'female',25.2,0,'no','southwest',11837.16)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	20,'female',26.84,1,'yes','southeast',17085.2676)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	52,'male',24.32,3,'yes','northeast',24869.8368)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	19,'male',36.955,0,'yes','northwest',36219.40545)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	53,'female',38.06,3,'no','southeast',20462.99766)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	46,'male',42.35,3,'yes','southeast',46151.1245)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	40,'male',19.8,1,'yes','southeast',17179.522)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	59,'female',32.395,3,'no','northeast',14590.63205)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	45,'male',30.2,1,'no','southwest',7441.053)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	49,'male',25.84,1,'no','northeast',9282.4806)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	18,'male',29.37,1,'no','southeast',1719.4363)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	50,'male',34.2,2,'yes','southwest',42856.838)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	41,'male',37.05,2,'no','northwest',7265.7025)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	50,'male',27.455,1,'no','northeast',9617.66245)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	25,'male',27.55,0,'no','northwest',2523.1695)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	47,'female',26.6,2,'no','northeast',9715.841)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	19,'male',20.615,2,'no','northwest',2803.69785)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	22,'female',24.3,0,'no','southwest',2150.469)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	59,'male',31.79,2,'no','southeast',12928.7911)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	51,'female',21.56,1,'no','southeast',9855.1314)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	40,'female',28.12,1,'yes','northeast',22331.5668)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	54,'male',40.565,3,'yes','northeast',48549.17835)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	30,'male',27.645,1,'no','northeast',4237.12655)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	55,'female',32.395,1,'no','northeast',11879.10405)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	52,'female',31.2,0,'no','southwest',9625.92)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	46,'male',26.62,1,'no','southeast',7742.1098)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	46,'female',48.07,2,'no','northeast',9432.9253)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	63,'female',26.22,0,'no','northwest',14256.1928)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	59,'female',36.765,1,'yes','northeast',47896.79135)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	52,'male',26.4,3,'no','southeast',25992.82104)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	28,'female',33.4,0,'no','southwest',3172.018)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	29,'male',29.64,1,'no','northeast',20277.80751)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	25,'male',45.54,2,'yes','southeast',42112.2356)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	22,'female',28.82,0,'no','southeast',2156.7518)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	25,'male',26.8,3,'no','southwest',3906.127)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	18,'male',22.99,0,'no','northeast',1704.5681)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	19,'male',27.7,0,'yes','southwest',16297.846)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	47,'male',25.41,1,'yes','southeast',21978.6769)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	31,'male',34.39,3,'yes','northwest',38746.3551)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	48,'female',28.88,1,'no','northwest',9249.4952)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	36,'male',27.55,3,'no','northeast',6746.7425)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	53,'female',22.61,3,'yes','northeast',24873.3849)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	56,'female',37.51,2,'no','southeast',12265.5069)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	28,'female',33,2,'no','southeast',4349.462)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	57,'female',38,2,'no','southwest',12646.207)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	29,'male',33.345,2,'no','northwest',19442.3535)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	28,'female',27.5,2,'no','southwest',20177.67113)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	30,'female',33.33,1,'no','southeast',4151.0287)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	58,'male',34.865,0,'no','northeast',11944.59435)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	41,'female',33.06,2,'no','northwest',7749.1564)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	50,'male',26.6,0,'no','southwest',8444.474)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	19,'female',24.7,0,'no','southwest',1737.376)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	43,'male',35.97,3,'yes','southeast',42124.5153)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	49,'male',35.86,0,'no','southeast',8124.4084)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	27,'female',31.4,0,'yes','southwest',34838.873)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	52,'male',33.25,0,'no','northeast',9722.7695)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	50,'male',32.205,0,'no','northwest',8835.26495)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	54,'male',32.775,0,'no','northeast',10435.06525)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	44,'female',27.645,0,'no','northwest',7421.19455)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	32,'male',37.335,1,'no','northeast',4667.60765)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	34,'male',25.27,1,'no','northwest',4894.7533)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	26,'female',29.64,4,'no','northeast',24671.66334)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	34,'male',30.8,0,'yes','southwest',35491.64)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	57,'male',40.945,0,'no','northeast',11566.30055)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	29,'male',27.2,0,'no','southwest',2866.091)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	40,'male',34.105,1,'no','northeast',6600.20595)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	27,'female',23.21,1,'no','southeast',3561.8889)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	45,'male',36.48,2,'yes','northwest',42760.5022)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	64,'female',33.8,1,'yes','southwest',47928.03)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	52,'male',36.7,0,'no','southwest',9144.565)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	61,'female',36.385,1,'yes','northeast',48517.56315)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	52,'male',27.36,0,'yes','northwest',24393.6224)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	61,'female',31.16,0,'no','northwest',13429.0354)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	56,'female',28.785,0,'no','northeast',11658.37915)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	43,'female',35.72,2,'no','northeast',19144.57652)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	64,'male',34.5,0,'no','southwest',13822.803)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	60,'male',25.74,0,'no','southeast',12142.5786)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	62,'male',27.55,1,'no','northwest',13937.6665)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	50,'male',32.3,1,'yes','northeast',41919.097)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	46,'female',27.72,1,'no','southeast',8232.6388)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	24,'female',27.6,0,'no','southwest',18955.22017)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	62,'male',30.02,0,'no','northwest',13352.0998)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	60,'female',27.55,0,'no','northeast',13217.0945)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	63,'male',36.765,0,'no','northeast',13981.85035)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	49,'female',41.47,4,'no','southeast',10977.2063)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	34,'female',29.26,3,'no','southeast',6184.2994)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	33,'male',35.75,2,'no','southeast',4889.9995)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	46,'male',33.345,1,'no','northeast',8334.45755)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	36,'female',29.92,1,'no','southeast',5478.0368)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	19,'male',27.835,0,'no','northwest',1635.73365)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	57,'female',23.18,0,'no','northwest',11830.6072)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	50,'female',25.6,0,'no','southwest',8932.084)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	30,'female',27.7,0,'no','southwest',3554.203)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	33,'male',35.245,0,'no','northeast',12404.8791)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	18,'female',38.28,0,'no','southeast',14133.03775)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	46,'male',27.6,0,'no','southwest',24603.04837)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	46,'male',43.89,3,'no','southeast',8944.1151)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	47,'male',29.83,3,'no','northwest',9620.3307)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	23,'male',41.91,0,'no','southeast',1837.2819)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	18,'female',20.79,0,'no','southeast',1607.5101)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	48,'female',32.3,2,'no','northeast',10043.249)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	35,'male',30.5,1,'no','southwest',4751.07)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	19,'female',21.7,0,'yes','southwest',13844.506)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	21,'female',26.4,1,'no','southwest',2597.779)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	21,'female',21.89,2,'no','southeast',3180.5101)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	49,'female',30.78,1,'no','northeast',9778.3472)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	56,'female',32.3,3,'no','northeast',13430.265)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	42,'female',24.985,2,'no','northwest',8017.06115)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	44,'male',32.015,2,'no','northwest',8116.26885)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	18,'male',30.4,3,'no','northeast',3481.868)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	61,'female',21.09,0,'no','northwest',13415.0381)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	57,'female',22.23,0,'no','northeast',12029.2867)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	42,'female',33.155,1,'no','northeast',7639.41745)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	26,'male',32.9,2,'yes','southwest',36085.219)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	20,'male',33.33,0,'no','southeast',1391.5287)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	23,'female',28.31,0,'yes','northwest',18033.9679)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	39,'female',24.89,3,'yes','northeast',21659.9301)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	24,'male',40.15,0,'yes','southeast',38126.2465)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	64,'female',30.115,3,'no','northwest',16455.70785)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	62,'male',31.46,1,'no','southeast',27000.98473)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	27,'female',17.955,2,'yes','northeast',15006.57945)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	55,'male',30.685,0,'yes','northeast',42303.69215)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	55,'male',33,0,'no','southeast',20781.48892)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	35,'female',43.34,2,'no','southeast',5846.9176)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	44,'male',22.135,2,'no','northeast',8302.53565)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	19,'male',34.4,0,'no','southwest',1261.859)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	58,'female',39.05,0,'no','southeast',11856.4115)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	50,'male',25.365,2,'no','northwest',30284.64294)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	26,'female',22.61,0,'no','northwest',3176.8159)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	24,'female',30.21,3,'no','northwest',4618.0799)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	48,'male',35.625,4,'no','northeast',10736.87075)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	19,'female',37.43,0,'no','northwest',2138.0707)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	48,'male',31.445,1,'no','northeast',8964.06055)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	49,'male',31.35,1,'no','northeast',9290.1395)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	46,'female',32.3,2,'no','northeast',9411.005)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	46,'male',19.855,0,'no','northwest',7526.70645)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	43,'female',34.4,3,'no','southwest',8522.003)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	21,'male',31.02,0,'no','southeast',16586.49771)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	64,'male',25.6,2,'no','southwest',14988.432)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	18,'female',38.17,0,'no','southeast',1631.6683)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	51,'female',20.6,0,'no','southwest',9264.797)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	47,'male',47.52,1,'no','southeast',8083.9198)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	64,'female',32.965,0,'no','northwest',14692.66935)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	49,'male',32.3,3,'no','northwest',10269.46)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	31,'male',20.4,0,'no','southwest',3260.199)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	52,'female',38.38,2,'no','northeast',11396.9002)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	33,'female',24.31,0,'no','southeast',4185.0979)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	47,'female',23.6,1,'no','southwest',8539.671)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	38,'male',21.12,3,'no','southeast',6652.5288)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	32,'male',30.03,1,'no','southeast',4074.4537)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	19,'male',17.48,0,'no','northwest',1621.3402)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	44,'female',20.235,1,'yes','northeast',19594.80965)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	26,'female',17.195,2,'yes','northeast',14455.64405)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	25,'male',23.9,5,'no','southwest',5080.096)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	19,'female',35.15,0,'no','northwest',2134.9015)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	43,'female',35.64,1,'no','southeast',7345.7266)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	52,'male',34.1,0,'no','southeast',9140.951)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	36,'female',22.6,2,'yes','southwest',18608.262)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	64,'male',39.16,1,'no','southeast',14418.2804)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	63,'female',26.98,0,'yes','northwest',28950.4692)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	64,'male',33.88,0,'yes','southeast',46889.2612)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	61,'male',35.86,0,'yes','southeast',46599.1084)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	40,'male',32.775,1,'yes','northeast',39125.33225)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	25,'male',30.59,0,'no','northeast',2727.3951)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	48,'male',30.2,2,'no','southwest',8968.33)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	45,'male',24.31,5,'no','southeast',9788.8659)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	38,'female',27.265,1,'no','northeast',6555.07035)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	18,'female',29.165,0,'no','northeast',7323.734819)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	21,'female',16.815,1,'no','northeast',3167.45585)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	27,'female',30.4,3,'no','northwest',18804.7524)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	19,'male',33.1,0,'no','southwest',23082.95533)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	29,'female',20.235,2,'no','northwest',4906.40965)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	42,'male',26.9,0,'no','southwest',5969.723)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	60,'female',30.5,0,'no','southwest',12638.195)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	31,'male',28.595,1,'no','northwest',4243.59005)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	60,'male',33.11,3,'no','southeast',13919.8229)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	22,'male',31.73,0,'no','northeast',2254.7967)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	35,'male',28.9,3,'no','southwest',5926.846)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	52,'female',46.75,5,'no','southeast',12592.5345)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	26,'male',29.45,0,'no','northeast',2897.3235)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	31,'female',32.68,1,'no','northwest',4738.2682)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	33,'female',33.5,0,'yes','southwest',37079.372)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	18,'male',43.01,0,'no','southeast',1149.3959)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	59,'female',36.52,1,'no','southeast',28287.89766)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	56,'male',26.695,1,'yes','northwest',26109.32905)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	45,'female',33.1,0,'no','southwest',7345.084)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	60,'male',29.64,0,'no','northeast',12730.9996)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	56,'female',25.65,0,'no','northwest',11454.0215)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	40,'female',29.6,0,'no','southwest',5910.944)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	35,'male',38.6,1,'no','southwest',4762.329)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	39,'male',29.6,4,'no','southwest',7512.267)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	30,'male',24.13,1,'no','northwest',4032.2407)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	24,'male',23.4,0,'no','southwest',1969.614)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	20,'male',29.735,0,'no','northwest',1769.53165)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	32,'male',46.53,2,'no','southeast',4686.3887)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	59,'male',37.4,0,'no','southwest',21797.0004)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	55,'female',30.14,2,'no','southeast',11881.9696)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	57,'female',30.495,0,'no','northwest',11840.77505)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	56,'male',39.6,0,'no','southwest',10601.412)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	40,'female',33,3,'no','southeast',7682.67)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	49,'female',36.63,3,'no','southeast',10381.4787)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	42,'male',30,0,'yes','southwest',22144.032)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	62,'female',38.095,2,'no','northeast',15230.32405)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	56,'male',25.935,0,'no','northeast',11165.41765)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	19,'male',25.175,0,'no','northwest',1632.03625)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	30,'female',28.38,1,'yes','southeast',19521.9682)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	60,'female',28.7,1,'no','southwest',13224.693)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	56,'female',33.82,2,'no','northwest',12643.3778)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	28,'female',24.32,1,'no','northeast',23288.9284)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	18,'female',24.09,1,'no','southeast',2201.0971)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	27,'male',32.67,0,'no','southeast',2497.0383)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	18,'female',30.115,0,'no','northeast',2203.47185)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	19,'female',29.8,0,'no','southwest',1744.465)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	47,'female',33.345,0,'no','northeast',20878.7844299999)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	54,'male',25.1,3,'yes','southwest',25382.297)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	61,'male',28.31,1,'yes','northwest',28868.6639)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	24,'male',28.5,0,'yes','northeast',35147.52848)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	25,'male',35.625,0,'no','northwest',2534.39375)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	21,'male',36.85,0,'no','southeast',1534.3045)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	23,'male',32.56,0,'no','southeast',1824.2854)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	63,'male',41.325,3,'no','northwest',15555.18875)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	49,'male',37.51,2,'no','southeast',9304.7019)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	18,'female',31.35,0,'no','southeast',1622.1885)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	51,'female',39.5,1,'no','southwest',9880.068)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	48,'male',34.3,3,'no','southwest',9563.029)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	31,'female',31.065,0,'no','northeast',4347.02335)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	54,'female',21.47,3,'no','northwest',12475.3513)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	19,'male',28.7,0,'no','southwest',1253.936)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	44,'female',38.06,0,'yes','southeast',48885.1356099999)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	53,'male',31.16,1,'no','northwest',10461.9794)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	19,'female',32.9,0,'no','southwest',1748.774)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	61,'female',25.08,0,'no','southeast',24513.09126)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	18,'female',25.08,0,'no','northeast',2196.4732)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	61,'male',43.4,0,'no','southwest',12574.049)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	21,'male',25.7,4,'yes','southwest',17942.106)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	20,'male',27.93,0,'no','northeast',1967.0227)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	31,'female',23.6,2,'no','southwest',4931.647)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	45,'male',28.7,2,'no','southwest',8027.968)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	44,'female',23.98,2,'no','southeast',8211.1002)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	62,'female',39.2,0,'no','southwest',13470.86)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	29,'male',34.4,0,'yes','southwest',36197.699)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	43,'male',26.03,0,'no','northeast',6837.3687)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	51,'male',23.21,1,'yes','southeast',22218.1149)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	19,'male',30.25,0,'yes','southeast',32548.3405)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	38,'female',28.93,1,'no','southeast',5974.3847)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	37,'male',30.875,3,'no','northwest',6796.86325)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	22,'male',31.35,1,'no','northwest',2643.2685)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	21,'male',23.75,2,'no','northwest',3077.0955)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	24,'female',25.27,0,'no','northeast',3044.2133)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	57,'female',28.7,0,'no','southwest',11455.28)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	56,'male',32.11,1,'no','northeast',11763.0009)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	27,'male',33.66,0,'no','southeast',2498.4144)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	51,'male',22.42,0,'no','northeast',9361.3268)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	19,'male',30.4,0,'no','southwest',1256.299)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	39,'male',28.3,1,'yes','southwest',21082.16)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	58,'male',35.7,0,'no','southwest',11362.755)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	20,'male',35.31,1,'no','southeast',27724.28875)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	45,'male',30.495,2,'no','northwest',8413.46305)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	35,'female',31,1,'no','southwest',5240.765)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	31,'male',30.875,0,'no','northeast',3857.75925)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	50,'female',27.36,0,'no','northeast',25656.57526)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	32,'female',44.22,0,'no','southeast',3994.1778)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	51,'female',33.915,0,'no','northeast',9866.30485)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	38,'female',37.73,0,'no','southeast',5397.6167)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	42,'male',26.07,1,'yes','southeast',38245.59327)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	18,'female',33.88,0,'no','southeast',11482.63485)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	19,'female',30.59,2,'no','northwest',24059.68019)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	51,'female',25.8,1,'no','southwest',9861.025)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	46,'male',39.425,1,'no','northeast',8342.90875)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	18,'male',25.46,0,'no','northeast',1708.0014)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	57,'male',42.13,1,'yes','southeast',48675.5177)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	62,'female',31.73,0,'no','northeast',14043.4766999999)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	59,'male',29.7,2,'no','southeast',12925.886)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	37,'male',36.19,0,'no','southeast',19214.70553)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	64,'male',40.48,0,'no','southeast',13831.1152)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	38,'male',28.025,1,'no','northeast',6067.12675)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	33,'female',38.9,3,'no','southwest',5972.378)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	46,'female',30.2,2,'no','southwest',8825.086)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	46,'female',28.05,1,'no','southeast',8233.0975)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	53,'male',31.35,0,'no','southeast',27346.04207)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	34,'female',38,3,'no','southwest',6196.448)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	20,'female',31.79,2,'no','southeast',3056.3881)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	63,'female',36.3,0,'no','southeast',13887.204)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	54,'female',47.41,0,'yes','southeast',63770.42801)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	54,'male',30.21,0,'no','northwest',10231.4999)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	49,'male',25.84,2,'yes','northwest',23807.2406)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	28,'male',35.435,0,'no','northeast',3268.84665)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	54,'female',46.7,2,'no','southwest',11538.421)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	25,'female',28.595,0,'no','northeast',3213.62205)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	43,'female',46.2,0,'yes','southeast',45863.205)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	63,'male',30.8,0,'no','southwest',13390.559)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	32,'female',28.93,0,'no','southeast',3972.9247)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	62,'male',21.4,0,'no','southwest',12957.118)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	52,'female',31.73,2,'no','northwest',11187.6567)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	25,'female',41.325,0,'no','northeast',17878.90068)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	28,'male',23.8,2,'no','southwest',3847.674)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	46,'male',33.44,1,'no','northeast',8334.5896)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	34,'male',34.21,0,'no','southeast',3935.1799)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	35,'female',34.105,3,'yes','northwest',39983.42595)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	19,'male',35.53,0,'no','northwest',1646.4297)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	46,'female',19.95,2,'no','northwest',9193.8385)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	54,'female',32.68,0,'no','northeast',10923.9332)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	27,'male',30.5,0,'no','southwest',2494.022)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	50,'male',44.77,1,'no','southeast',9058.7303)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	18,'female',32.12,2,'no','southeast',2801.2588)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	19,'female',30.495,0,'no','northwest',2128.43105)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	38,'female',40.565,1,'no','northwest',6373.55735)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	41,'male',30.59,2,'no','northwest',7256.7231)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	49,'female',31.9,5,'no','southwest',11552.904)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	48,'male',40.565,2,'yes','northwest',45702.02235)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	31,'female',29.1,0,'no','southwest',3761.292)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	18,'female',37.29,1,'no','southeast',2219.4451)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	30,'female',43.12,2,'no','southeast',4753.6368)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	62,'female',36.86,1,'no','northeast',31620.00106)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	57,'female',34.295,2,'no','northeast',13224.05705)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	58,'female',27.17,0,'no','northwest',12222.8983)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	22,'male',26.84,0,'no','southeast',1664.9996)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	31,'female',38.095,1,'yes','northeast',58571.07448)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	52,'male',30.2,1,'no','southwest',9724.53)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	25,'female',23.465,0,'no','northeast',3206.49135)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	59,'male',25.46,1,'no','northeast',12913.9924)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	19,'male',30.59,0,'no','northwest',1639.5631)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	39,'male',45.43,2,'no','southeast',6356.2707)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	32,'female',23.65,1,'no','southeast',17626.23951)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	19,'male',20.7,0,'no','southwest',1242.816)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	33,'female',28.27,1,'no','southeast',4779.6023)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	21,'male',20.235,3,'no','northeast',3861.20965)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	34,'female',30.21,1,'yes','northwest',43943.8761)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	61,'female',35.91,0,'no','northeast',13635.6379)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	38,'female',30.69,1,'no','southeast',5976.8311)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	58,'female',29,0,'no','southwest',11842.442)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	47,'male',19.57,1,'no','northwest',8428.0693)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	20,'male',31.13,2,'no','southeast',2566.4707)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	21,'female',21.85,1,'yes','northeast',15359.1045)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	41,'male',40.26,0,'no','southeast',5709.1644)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	46,'female',33.725,1,'no','northeast',8823.98575)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	42,'female',29.48,2,'no','southeast',7640.3092)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	34,'female',33.25,1,'no','northeast',5594.8455)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	43,'male',32.6,2,'no','southwest',7441.501)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	52,'female',37.525,2,'no','northwest',33471.97189)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	18,'female',39.16,0,'no','southeast',1633.0444)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	51,'male',31.635,0,'no','northwest',9174.13565)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	56,'female',25.3,0,'no','southwest',11070.535)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	64,'female',39.05,3,'no','southeast',16085.1275)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	19,'female',28.31,0,'yes','northwest',17468.9839)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	51,'female',34.1,0,'no','southeast',9283.562)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	27,'female',25.175,0,'no','northeast',3558.62025)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	59,'female',23.655,0,'yes','northwest',25678.77845)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	28,'male',26.98,2,'no','northeast',4435.0942)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	30,'male',37.8,2,'yes','southwest',39241.442)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	47,'female',29.37,1,'no','southeast',8547.6913)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	38,'female',34.8,2,'no','southwest',6571.544)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	18,'female',33.155,0,'no','northeast',2207.69745)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	34,'female',19,3,'no','northeast',6753.038)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	20,'female',33,0,'no','southeast',1880.07)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	47,'female',36.63,1,'yes','southeast',42969.8527)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	56,'female',28.595,0,'no','northeast',11658.11505)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	49,'male',25.6,2,'yes','southwest',23306.547)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	19,'female',33.11,0,'yes','southeast',34439.8559)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	55,'female',37.1,0,'no','southwest',10713.644)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	30,'male',31.4,1,'no','southwest',3659.346)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	37,'male',34.1,4,'yes','southwest',40182.246)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	49,'female',21.3,1,'no','southwest',9182.17)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	18,'male',33.535,0,'yes','northeast',34617.84065)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	59,'male',28.785,0,'no','northwest',12129.61415)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	29,'female',26.03,0,'no','northwest',3736.4647)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	36,'male',28.88,3,'no','northeast',6748.5912)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	33,'male',42.46,1,'no','southeast',11326.71487)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	58,'male',38,0,'no','southwest',11365.952)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	44,'female',38.95,0,'yes','northwest',42983.4585)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	53,'male',36.1,1,'no','southwest',10085.846)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	24,'male',29.3,0,'no','southwest',1977.815)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	29,'female',35.53,0,'no','southeast',3366.6697)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	40,'male',22.705,2,'no','northeast',7173.35995)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	51,'male',39.7,1,'no','southwest',9391.346)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	64,'male',38.19,0,'no','northeast',14410.9321)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	19,'female',24.51,1,'no','northwest',2709.1119)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	35,'female',38.095,2,'no','northeast',24915.04626)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	39,'male',26.41,0,'yes','northeast',20149.3229)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	56,'male',33.66,4,'no','southeast',12949.1554)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	33,'male',42.4,5,'no','southwest',6666.243)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	42,'male',28.31,3,'yes','northwest',32787.45859)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	61,'male',33.915,0,'no','northeast',13143.86485)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	23,'female',34.96,3,'no','northwest',4466.6214)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	43,'male',35.31,2,'no','southeast',18806.14547)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	48,'male',30.78,3,'no','northeast',10141.1362)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	39,'male',26.22,1,'no','northwest',6123.5688)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	40,'female',23.37,3,'no','northeast',8252.2843)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	18,'male',28.5,0,'no','northeast',1712.227)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	58,'female',32.965,0,'no','northeast',12430.95335)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	49,'female',42.68,2,'no','southeast',9800.8882)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	53,'female',39.6,1,'no','southeast',10579.711)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	48,'female',31.13,0,'no','southeast',8280.6227)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	45,'female',36.3,2,'no','southeast',8527.532)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	59,'female',35.2,0,'no','southeast',12244.531)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	52,'female',25.3,2,'yes','southeast',24667.419)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	26,'female',42.4,1,'no','southwest',3410.324)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	27,'male',33.155,2,'no','northwest',4058.71245)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	48,'female',35.91,1,'no','northeast',26392.26029)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	57,'female',28.785,4,'no','northeast',14394.39815)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	37,'male',46.53,3,'no','southeast',6435.6237)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	57,'female',23.98,1,'no','southeast',22192.43711)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	32,'female',31.54,1,'no','northeast',5148.5526)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	18,'male',33.66,0,'no','southeast',1136.3994)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	64,'female',22.99,0,'yes','southeast',27037.9141)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	43,'male',38.06,2,'yes','southeast',42560.4304)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	49,'male',28.7,1,'no','southwest',8703.456)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	40,'female',32.775,2,'yes','northwest',40003.33225)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	62,'male',32.015,0,'yes','northeast',45710.20785)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	40,'female',29.81,1,'no','southeast',6500.2359)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	30,'male',31.57,3,'no','southeast',4837.5823)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	29,'female',31.16,0,'no','northeast',3943.5954)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	36,'male',29.7,0,'no','southeast',4399.731)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	41,'female',31.02,0,'no','southeast',6185.3208)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	44,'female',43.89,2,'yes','southeast',46200.9851)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	45,'male',21.375,0,'no','northwest',7222.78625)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	55,'female',40.81,3,'no','southeast',12485.8009)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	60,'male',31.35,3,'yes','northwest',46130.5265)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	56,'male',36.1,3,'no','southwest',12363.547)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	49,'female',23.18,2,'no','northwest',10156.7832)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	21,'female',17.4,1,'no','southwest',2585.269)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	19,'male',20.3,0,'no','southwest',1242.26)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	39,'male',35.3,2,'yes','southwest',40103.89)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	53,'male',24.32,0,'no','northwest',9863.4718)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	33,'female',18.5,1,'no','southwest',4766.022)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	53,'male',26.41,2,'no','northeast',11244.3769)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	42,'male',26.125,2,'no','northeast',7729.64575)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	40,'male',41.69,0,'no','southeast',5438.7491)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	47,'female',24.1,1,'no','southwest',26236.57997)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	27,'male',31.13,1,'yes','southeast',34806.4677)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	21,'male',27.36,0,'no','northeast',2104.1134)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	47,'male',36.2,1,'no','southwest',8068.185)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	20,'male',32.395,1,'no','northwest',2362.22905)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	24,'male',23.655,0,'no','northwest',2352.96845)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	27,'female',34.8,1,'no','southwest',3577.999)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	26,'female',40.185,0,'no','northwest',3201.24515)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	53,'female',32.3,2,'no','northeast',29186.48236)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	41,'male',35.75,1,'yes','southeast',40273.6455)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	56,'male',33.725,0,'no','northwest',10976.24575)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	23,'female',39.27,2,'no','southeast',3500.6123)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	21,'female',34.87,0,'no','southeast',2020.5523)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	50,'female',44.745,0,'no','northeast',9541.69555)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	53,'male',41.47,0,'no','southeast',9504.3103)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	34,'female',26.41,1,'no','northwest',5385.3379)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	47,'female',29.545,1,'no','northwest',8930.93455)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	33,'female',32.9,2,'no','southwest',5375.038)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	51,'female',38.06,0,'yes','southeast',44400.4064)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	49,'male',28.69,3,'no','northwest',10264.4421)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	31,'female',30.495,3,'no','northeast',6113.23105)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	36,'female',27.74,0,'no','northeast',5469.0066)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	18,'male',35.2,1,'no','southeast',1727.54)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	50,'female',23.54,2,'no','southeast',10107.2206)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	43,'female',30.685,2,'no','northwest',8310.83915)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	20,'male',40.47,0,'no','northeast',1984.4533)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	24,'female',22.6,0,'no','southwest',2457.502)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	60,'male',28.9,0,'no','southwest',12146.971)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	49,'female',22.61,1,'no','northwest',9566.9909)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	60,'male',24.32,1,'no','northwest',13112.6048)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	51,'female',36.67,2,'no','northwest',10848.1343)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	58,'female',33.44,0,'no','northwest',12231.6136)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	51,'female',40.66,0,'no','northeast',9875.6804)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	53,'male',36.6,3,'no','southwest',11264.541)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	62,'male',37.4,0,'no','southwest',12979.358)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	19,'male',35.4,0,'no','southwest',1263.249)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	50,'female',27.075,1,'no','northeast',10106.13425)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	30,'female',39.05,3,'yes','southeast',40932.4295)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	41,'male',28.405,1,'no','northwest',6664.68595)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	29,'female',21.755,1,'yes','northeast',16657.71745)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	18,'female',40.28,0,'no','northeast',2217.6012)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	41,'female',36.08,1,'no','southeast',6781.3542)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	35,'male',24.42,3,'yes','southeast',19361.9988)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	53,'male',21.4,1,'no','southwest',10065.413)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	24,'female',30.1,3,'no','southwest',4234.927)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	48,'female',27.265,1,'no','northeast',9447.25035)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	59,'female',32.1,3,'no','southwest',14007.222)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	49,'female',34.77,1,'no','northwest',9583.8933)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	37,'female',38.39,0,'yes','southeast',40419.0191)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	26,'male',23.7,2,'no','southwest',3484.331)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	23,'male',31.73,3,'yes','northeast',36189.1016999999)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	29,'male',35.5,2,'yes','southwest',44585.45587)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	45,'male',24.035,2,'no','northeast',8604.48365)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	27,'male',29.15,0,'yes','southeast',18246.4955)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	53,'male',34.105,0,'yes','northeast',43254.41795)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	31,'female',26.62,0,'no','southeast',3757.8448)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	50,'male',26.41,0,'no','northwest',8827.2099)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	50,'female',30.115,1,'no','northwest',9910.35985)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	34,'male',27,2,'no','southwest',11737.84884)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	19,'male',21.755,0,'no','northwest',1627.28245)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	47,'female',36,1,'no','southwest',8556.907)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	28,'male',30.875,0,'no','northwest',3062.50825)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	37,'female',26.4,0,'yes','southeast',19539.243)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	21,'male',28.975,0,'no','northwest',1906.35825)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	64,'male',37.905,0,'no','northwest',14210.53595)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	58,'female',22.77,0,'no','southeast',11833.7823)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	24,'male',33.63,4,'no','northeast',17128.42608)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	31,'male',27.645,2,'no','northeast',5031.26955)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	39,'female',22.8,3,'no','northeast',7985.815)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	47,'female',27.83,0,'yes','southeast',23065.4207)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	30,'male',37.43,3,'no','northeast',5428.7277)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	18,'male',38.17,0,'yes','southeast',36307.7983)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	22,'female',34.58,2,'no','northeast',3925.7582)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	23,'male',35.2,1,'no','southwest',2416.955)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	33,'male',27.1,1,'yes','southwest',19040.876)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	27,'male',26.03,0,'no','northeast',3070.8087)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	45,'female',25.175,2,'no','northeast',9095.06825)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	57,'female',31.825,0,'no','northwest',11842.62375)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	47,'male',32.3,1,'no','southwest',8062.764)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	42,'female',29,1,'no','southwest',7050.642)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	64,'female',39.7,0,'no','southwest',14319.031)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	38,'female',19.475,2,'no','northwest',6933.24225)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	61,'male',36.1,3,'no','southwest',27941.28758)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	53,'female',26.7,2,'no','southwest',11150.78)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	44,'female',36.48,0,'no','northeast',12797.20962)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	19,'female',28.88,0,'yes','northwest',17748.5062)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	41,'male',34.2,2,'no','northwest',7261.741)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	51,'male',33.33,3,'no','southeast',10560.4917)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	40,'male',32.3,2,'no','northwest',6986.697)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	45,'male',39.805,0,'no','northeast',7448.40395)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	35,'male',34.32,3,'no','southeast',5934.3798)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	53,'male',28.88,0,'no','northwest',9869.8102)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	30,'male',24.4,3,'yes','southwest',18259.216)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	18,'male',41.14,0,'no','southeast',1146.7966)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	51,'male',35.97,1,'no','southeast',9386.1613)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	50,'female',27.6,1,'yes','southwest',24520.264)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	31,'female',29.26,1,'no','southeast',4350.5144)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	35,'female',27.7,3,'no','southwest',6414.178)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	60,'male',36.955,0,'no','northeast',12741.16745)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	21,'male',36.86,0,'no','northwest',1917.3184)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	29,'male',22.515,3,'no','northeast',5209.57885)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	62,'female',29.92,0,'no','southeast',13457.9608)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	39,'female',41.8,0,'no','southeast',5662.225)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	19,'male',27.6,0,'no','southwest',1252.407)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	22,'female',23.18,0,'no','northeast',2731.9122)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	53,'male',20.9,0,'yes','southeast',21195.818)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	39,'female',31.92,2,'no','northwest',7209.4918)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	27,'male',28.5,0,'yes','northwest',18310.742)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	30,'male',44.22,2,'no','southeast',4266.1658)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	30,'female',22.895,1,'no','northeast',4719.52405)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	58,'female',33.1,0,'no','southwest',11848.141)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	33,'male',24.795,0,'yes','northeast',17904.52705)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	42,'female',26.18,1,'no','southeast',7046.7222)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	64,'female',35.97,0,'no','southeast',14313.8463)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	21,'male',22.3,1,'no','southwest',2103.08)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	18,'female',42.24,0,'yes','southeast',38792.6856)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	23,'male',26.51,0,'no','southeast',1815.8759)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	45,'female',35.815,0,'no','northwest',7731.85785)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	40,'female',41.42,1,'no','northwest',28476.73499)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	19,'female',36.575,0,'no','northwest',2136.88225)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	18,'male',30.14,0,'no','southeast',1131.5066)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	25,'male',25.84,1,'no','northeast',3309.7926)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	46,'female',30.8,3,'no','southwest',9414.92)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	33,'female',42.94,3,'no','northwest',6360.9936)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	54,'male',21.01,2,'no','southeast',11013.7119)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	28,'male',22.515,2,'no','northeast',4428.88785)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	36,'male',34.43,2,'no','southeast',5584.3057)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	20,'female',31.46,0,'no','southeast',1877.9294)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	24,'female',24.225,0,'no','northwest',2842.76075)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	23,'male',37.1,3,'no','southwest',3597.596)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	47,'female',26.125,1,'yes','northeast',23401.30575)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	33,'female',35.53,0,'yes','northwest',55135.40209)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	45,'male',33.7,1,'no','southwest',7445.918)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	26,'male',17.67,0,'no','northwest',2680.9493)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	18,'female',31.13,0,'no','southeast',1621.8827)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	44,'female',29.81,2,'no','southeast',8219.2039)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	60,'male',24.32,0,'no','northwest',12523.6048)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	64,'female',31.825,2,'no','northeast',16069.08475)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	56,'male',31.79,2,'yes','southeast',43813.8661)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	36,'male',28.025,1,'yes','northeast',20773.62775)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	41,'male',30.78,3,'yes','northeast',39597.4072)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	39,'male',21.85,1,'no','northwest',6117.4945)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	63,'male',33.1,0,'no','southwest',13393.756)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	36,'female',25.84,0,'no','northwest',5266.3656)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	28,'female',23.845,2,'no','northwest',4719.73655)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	58,'male',34.39,0,'no','northwest',11743.9341)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	36,'male',33.82,1,'no','northwest',5377.4578)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	42,'male',35.97,2,'no','southeast',7160.3303)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	36,'male',31.5,0,'no','southwest',4402.233)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	56,'female',28.31,0,'no','northeast',11657.7189)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	35,'female',23.465,2,'no','northeast',6402.29135)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	59,'female',31.35,0,'no','northwest',12622.1795)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	21,'male',31.1,0,'no','southwest',1526.312)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	59,'male',24.7,0,'no','northeast',12323.936)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	23,'female',32.78,2,'yes','southeast',36021.0112)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	57,'female',29.81,0,'yes','southeast',27533.9129)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	53,'male',30.495,0,'no','northeast',10072.05505)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	60,'female',32.45,0,'yes','southeast',45008.9555)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	51,'female',34.2,1,'no','southwest',9872.701)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	23,'male',50.38,1,'no','southeast',2438.0552)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	27,'female',24.1,0,'no','southwest',2974.126)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	55,'male',32.775,0,'no','northwest',10601.63225)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	37,'female',30.78,0,'yes','northeast',37270.1512)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	61,'male',32.3,2,'no','northwest',14119.62)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	46,'female',35.53,0,'yes','northeast',42111.6647)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	53,'female',23.75,2,'no','northeast',11729.6795)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	49,'female',23.845,3,'yes','northeast',24106.91255)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	20,'female',29.6,0,'no','southwest',1875.344)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	48,'female',33.11,0,'yes','southeast',40974.1649)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	25,'male',24.13,0,'yes','northwest',15817.9857)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	25,'female',32.23,1,'no','southeast',18218.16139)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	57,'male',28.1,0,'no','southwest',10965.446)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	37,'female',47.6,2,'yes','southwest',46113.511)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	38,'female',28,3,'no','southwest',7151.092)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	55,'female',33.535,2,'no','northwest',12269.68865)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	36,'female',19.855,0,'no','northeast',5458.04645)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	51,'male',25.4,0,'no','southwest',8782.469)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	40,'male',29.9,2,'no','southwest',6600.361)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	18,'male',37.29,0,'no','southeast',1141.4451)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	57,'male',43.7,1,'no','southwest',11576.13)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	61,'male',23.655,0,'no','northeast',13129.60345)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	25,'female',24.3,3,'no','southwest',4391.652)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	50,'male',36.2,0,'no','southwest',8457.818)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	26,'female',29.48,1,'no','southeast',3392.3652)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	42,'male',24.86,0,'no','southeast',5966.8874)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	43,'male',30.1,1,'no','southwest',6849.026)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	44,'male',21.85,3,'no','northeast',8891.1395)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	23,'female',28.12,0,'no','northwest',2690.1138)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	49,'female',27.1,1,'no','southwest',26140.3603)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	33,'male',33.44,5,'no','southeast',6653.7886)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	41,'male',28.8,1,'no','southwest',6282.235)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	37,'female',29.5,2,'no','southwest',6311.952)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	22,'male',34.8,3,'no','southwest',3443.064)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	23,'male',27.36,1,'no','northwest',2789.0574)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	21,'female',22.135,0,'no','northeast',2585.85065)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	51,'female',37.05,3,'yes','northeast',46255.1125)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	25,'male',26.695,4,'no','northwest',4877.98105)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	32,'male',28.93,1,'yes','southeast',19719.6947)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	57,'male',28.975,0,'yes','northeast',27218.43725)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	36,'female',30.02,0,'no','northwest',5272.1758)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	22,'male',39.5,0,'no','southwest',1682.597)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	57,'male',33.63,1,'no','northwest',11945.1327)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	64,'female',26.885,0,'yes','northwest',29330.98315)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	36,'female',29.04,4,'no','southeast',7243.8136)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	54,'male',24.035,0,'no','northeast',10422.91665)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	47,'male',38.94,2,'yes','southeast',44202.6536)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	62,'male',32.11,0,'no','northeast',13555.0049)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	61,'female',44,0,'no','southwest',13063.883)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	43,'female',20.045,2,'yes','northeast',19798.05455)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	19,'male',25.555,1,'no','northwest',2221.56445)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	18,'female',40.26,0,'no','southeast',1634.5734)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	19,'female',22.515,0,'no','northwest',2117.33885)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	49,'male',22.515,0,'no','northeast',8688.85885)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	60,'male',40.92,0,'yes','southeast',48673.5587999999)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	26,'male',27.265,3,'no','northeast',4661.28635)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	49,'male',36.85,0,'no','southeast',8125.7845)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	60,'female',35.1,0,'no','southwest',12644.589)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	26,'female',29.355,2,'no','northeast',4564.19145)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	27,'male',32.585,3,'no','northeast',4846.92015)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	44,'female',32.34,1,'no','southeast',7633.7206)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	63,'male',39.8,3,'no','southwest',15170.069)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	32,'female',24.6,0,'yes','southwest',17496.306)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	22,'male',28.31,1,'no','northwest',2639.0429)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	18,'male',31.73,0,'yes','northeast',33732.6867)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	59,'female',26.695,3,'no','northwest',14382.70905)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	44,'female',27.5,1,'no','southwest',7626.993)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	33,'male',24.605,2,'no','northwest',5257.50795)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	24,'female',33.99,0,'no','southeast',2473.3341)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	43,'female',26.885,0,'yes','northwest',21774.32215)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	45,'male',22.895,0,'yes','northeast',35069.37452)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	61,'female',28.2,0,'no','southwest',13041.921)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	35,'female',34.21,1,'no','southeast',5245.2269)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	62,'female',25,0,'no','southwest',13451.122)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	62,'female',33.2,0,'no','southwest',13462.52)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	38,'male',31,1,'no','southwest',5488.262)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	34,'male',35.815,0,'no','northwest',4320.41085)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	43,'male',23.2,0,'no','southwest',6250.435)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	50,'male',32.11,2,'no','northeast',25333.33284)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	19,'female',23.4,2,'no','southwest',2913.569)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	57,'female',20.1,1,'no','southwest',12032.326)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	62,'female',39.16,0,'no','southeast',13470.8044)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	41,'male',34.21,1,'no','southeast',6289.7549)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	26,'male',46.53,1,'no','southeast',2927.0647)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	39,'female',32.5,1,'no','southwest',6238.298)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	46,'male',25.8,5,'no','southwest',10096.97)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	45,'female',35.3,0,'no','southwest',7348.142)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	32,'male',37.18,2,'no','southeast',4673.3922)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	59,'female',27.5,0,'no','southwest',12233.828)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	44,'male',29.735,2,'no','northeast',32108.66282)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	39,'female',24.225,5,'no','northwest',8965.79575)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	18,'male',26.18,2,'no','southeast',2304.0022)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	53,'male',29.48,0,'no','southeast',9487.6442)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	18,'male',23.21,0,'no','southeast',1121.8739)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	50,'female',46.09,1,'no','southeast',9549.5651)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	18,'female',40.185,0,'no','northeast',2217.46915)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	19,'male',22.61,0,'no','northwest',1628.4709)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	62,'male',39.93,0,'no','southeast',12982.8747)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	56,'female',35.8,1,'no','southwest',11674.13)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	42,'male',35.8,2,'no','southwest',7160.094)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	37,'male',34.2,1,'yes','northeast',39047.285)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	42,'male',31.255,0,'no','northwest',6358.77645)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	25,'male',29.7,3,'yes','southwest',19933.458)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	57,'male',18.335,0,'no','northeast',11534.87265)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	51,'male',42.9,2,'yes','southeast',47462.894)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	30,'female',28.405,1,'no','northwest',4527.18295)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	44,'male',30.2,2,'yes','southwest',38998.546)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	34,'male',27.835,1,'yes','northwest',20009.63365)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	31,'male',39.49,1,'no','southeast',3875.7341)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	54,'male',30.8,1,'yes','southeast',41999.52)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	24,'male',26.79,1,'no','northwest',12609.88702)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	43,'male',34.96,1,'yes','northeast',41034.2214)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	48,'male',36.67,1,'no','northwest',28468.91901)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	19,'female',39.615,1,'no','northwest',2730.10785)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	29,'female',25.9,0,'no','southwest',3353.284)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	63,'female',35.2,1,'no','southeast',14474.675)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	46,'male',24.795,3,'no','northeast',9500.57305)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	52,'male',36.765,2,'no','northwest',26467.09737)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	35,'male',27.1,1,'no','southwest',4746.344)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	51,'male',24.795,2,'yes','northwest',23967.38305)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	44,'male',25.365,1,'no','northwest',7518.02535)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	21,'male',25.745,2,'no','northeast',3279.86855)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	39,'female',34.32,5,'no','southeast',8596.8278)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	50,'female',28.16,3,'no','southeast',10702.6424)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	34,'female',23.56,0,'no','northeast',4992.3764)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	22,'female',20.235,0,'no','northwest',2527.81865)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	19,'female',40.5,0,'no','southwest',1759.338)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	26,'male',35.42,0,'no','southeast',2322.6218)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	29,'male',22.895,0,'yes','northeast',16138.76205)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	48,'male',40.15,0,'no','southeast',7804.1605)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	26,'male',29.15,1,'no','southeast',2902.9065)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	45,'female',39.995,3,'no','northeast',9704.66805)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	36,'female',29.92,0,'no','southeast',4889.0368)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	54,'male',25.46,1,'no','northeast',25517.11363)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	34,'male',21.375,0,'no','northeast',4500.33925)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	31,'male',25.9,3,'yes','southwest',19199.944)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	27,'female',30.59,1,'no','northeast',16796.41194)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	20,'male',30.115,5,'no','northeast',4915.05985)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	44,'female',25.8,1,'no','southwest',7624.63)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	43,'male',30.115,3,'no','northwest',8410.04685)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	45,'female',27.645,1,'no','northwest',28340.18885)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	34,'male',34.675,0,'no','northeast',4518.82625)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	24,'female',20.52,0,'yes','northeast',14571.8908)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	26,'female',19.8,1,'no','southwest',3378.91)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	38,'female',27.835,2,'no','northeast',7144.86265)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	50,'female',31.6,2,'no','southwest',10118.424)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	38,'male',28.27,1,'no','southeast',5484.4673)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	27,'female',20.045,3,'yes','northwest',16420.49455)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	39,'female',23.275,3,'no','northeast',7986.47525)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	39,'female',34.1,3,'no','southwest',7418.522)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	63,'female',36.85,0,'no','southeast',13887.9685)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	33,'female',36.29,3,'no','northeast',6551.7501)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	36,'female',26.885,0,'no','northwest',5267.81815)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	30,'male',22.99,2,'yes','northwest',17361.7661)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	24,'male',32.7,0,'yes','southwest',34472.841)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	24,'male',25.8,0,'no','southwest',1972.95)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	48,'male',29.6,0,'no','southwest',21232.18226)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	47,'male',19.19,1,'no','northeast',8627.5411)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	29,'male',31.73,2,'no','northwest',4433.3877)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	28,'male',29.26,2,'no','northeast',4438.2634)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	47,'male',28.215,3,'yes','northwest',24915.22085)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	25,'male',24.985,2,'no','northeast',23241.47453)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	51,'male',27.74,1,'no','northeast',9957.7216)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	48,'female',22.8,0,'no','southwest',8269.044)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	43,'male',20.13,2,'yes','southeast',18767.7377)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	61,'female',33.33,4,'no','southeast',36580.28216)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	48,'male',32.3,1,'no','northwest',8765.249)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	38,'female',27.6,0,'no','southwest',5383.536)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	59,'male',25.46,0,'no','northwest',12124.9924)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	19,'female',24.605,1,'no','northwest',2709.24395)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	26,'female',34.2,2,'no','southwest',3987.926)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	54,'female',35.815,3,'no','northwest',12495.29085)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	21,'female',32.68,2,'no','northwest',26018.95052)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	51,'male',37,0,'no','southwest',8798.593)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	22,'female',31.02,3,'yes','southeast',35595.5898)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	47,'male',36.08,1,'yes','southeast',42211.1382)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	18,'male',23.32,1,'no','southeast',1711.0268)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	47,'female',45.32,1,'no','southeast',8569.8618)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	21,'female',34.6,0,'no','southwest',2020.177)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	19,'male',26.03,1,'yes','northwest',16450.8947)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	23,'male',18.715,0,'no','northwest',21595.38229)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	54,'male',31.6,0,'no','southwest',9850.432)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	37,'female',17.29,2,'no','northeast',6877.9801)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	46,'female',23.655,1,'yes','northwest',21677.28345)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	55,'female',35.2,0,'yes','southeast',44423.803)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	30,'female',27.93,0,'no','northeast',4137.5227)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	18,'male',21.565,0,'yes','northeast',13747.87235)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	61,'male',38.38,0,'no','northwest',12950.0712)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	54,'female',23,3,'no','southwest',12094.478)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	22,'male',37.07,2,'yes','southeast',37484.4493)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	45,'female',30.495,1,'yes','northwest',39725.51805)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	22,'male',28.88,0,'no','northeast',2250.8352)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	19,'male',27.265,2,'no','northwest',22493.65964)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	35,'female',28.025,0,'yes','northwest',20234.85475)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	18,'male',23.085,0,'no','northeast',1704.70015)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	20,'male',30.685,0,'yes','northeast',33475.81715)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	28,'female',25.8,0,'no','southwest',3161.454)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	55,'male',35.245,1,'no','northeast',11394.06555)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	43,'female',24.7,2,'yes','northwest',21880.82)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	43,'female',25.08,0,'no','northeast',7325.0482)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	22,'male',52.58,1,'yes','southeast',44501.3982)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	25,'female',22.515,1,'no','northwest',3594.17085)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	49,'male',30.9,0,'yes','southwest',39727.614)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	44,'female',36.955,1,'no','northwest',8023.13545)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	64,'male',26.41,0,'no','northeast',14394.5579)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	49,'male',29.83,1,'no','northeast',9288.0267)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	47,'male',29.8,3,'yes','southwest',25309.489)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	27,'female',21.47,0,'no','northwest',3353.4703)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	55,'male',27.645,0,'no','northwest',10594.50155)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	48,'female',28.9,0,'no','southwest',8277.523)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	45,'female',31.79,0,'no','southeast',17929.30337)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	24,'female',39.49,0,'no','southeast',2480.9791)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	32,'male',33.82,1,'no','northwest',4462.7218)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	24,'male',32.01,0,'no','southeast',1981.5819)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	57,'male',27.94,1,'no','southeast',11554.2236)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	59,'male',41.14,1,'yes','southeast',48970.2476)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	36,'male',28.595,3,'no','northwest',6548.19505)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	29,'female',25.6,4,'no','southwest',5708.867)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	42,'female',25.3,1,'no','southwest',7045.499)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	48,'male',37.29,2,'no','southeast',8978.1851)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	39,'male',42.655,0,'no','northeast',5757.41345)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	63,'male',21.66,1,'no','northwest',14349.8544)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	54,'female',31.9,1,'no','southeast',10928.849)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	37,'male',37.07,1,'yes','southeast',39871.7043)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	63,'male',31.445,0,'no','northeast',13974.45555)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	21,'male',31.255,0,'no','northwest',1909.52745)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	54,'female',28.88,2,'no','northeast',12096.6512)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	60,'female',18.335,0,'no','northeast',13204.28565)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	32,'female',29.59,1,'no','southeast',4562.8421)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	47,'female',32,1,'no','southwest',8551.347)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	21,'male',26.03,0,'no','northeast',2102.2647)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	28,'male',31.68,0,'yes','southeast',34672.1472)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	63,'male',33.66,3,'no','southeast',15161.5344)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	18,'male',21.78,2,'no','southeast',11884.04858)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	32,'male',27.835,1,'no','northwest',4454.40265)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	38,'male',19.95,1,'no','northwest',5855.9025)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	32,'male',31.5,1,'no','southwest',4076.497)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	62,'female',30.495,2,'no','northwest',15019.76005)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	39,'female',18.3,5,'yes','southwest',19023.26)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	55,'male',28.975,0,'no','northeast',10796.35025)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	57,'male',31.54,0,'no','northwest',11353.2276)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	52,'male',47.74,1,'no','southeast',9748.9106)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	56,'male',22.1,0,'no','southwest',10577.087)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	47,'male',36.19,0,'yes','southeast',41676.0811)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	55,'female',29.83,0,'no','northeast',11286.5387)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	23,'male',32.7,3,'no','southwest',3591.48)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	22,'female',30.4,0,'yes','northwest',33907.548)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	50,'female',33.7,4,'no','southwest',11299.343)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	18,'female',31.35,4,'no','northeast',4561.1885)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	51,'female',34.96,2,'yes','northeast',44641.1974)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	22,'male',33.77,0,'no','southeast',1674.6323)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	52,'female',30.875,0,'no','northeast',23045.56616)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	25,'female',33.99,1,'no','southeast',3227.1211)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	33,'female',19.095,2,'yes','northeast',16776.30405)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	53,'male',28.6,3,'no','southwest',11253.421)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	29,'male',38.94,1,'no','southeast',3471.4096)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	58,'male',36.08,0,'no','southeast',11363.2832)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	37,'male',29.8,0,'no','southwest',20420.60465)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	54,'female',31.24,0,'no','southeast',10338.9316)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	49,'female',29.925,0,'no','northwest',8988.15875)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	50,'female',26.22,2,'no','northwest',10493.9458)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	26,'male',30,1,'no','southwest',2904.088)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	45,'male',20.35,3,'no','southeast',8605.3615)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	54,'female',32.3,1,'no','northeast',11512.405)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	38,'male',38.39,3,'yes','southeast',41949.2441)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	48,'female',25.85,3,'yes','southeast',24180.9335)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	28,'female',26.315,3,'no','northwest',5312.16985)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	23,'male',24.51,0,'no','northeast',2396.0959)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	55,'male',32.67,1,'no','southeast',10807.4863)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	41,'male',29.64,5,'no','northeast',9222.4026)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	25,'male',33.33,2,'yes','southeast',36124.5737)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	33,'male',35.75,1,'yes','southeast',38282.7495)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	30,'female',19.95,3,'no','northwest',5693.4305)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	23,'female',31.4,0,'yes','southwest',34166.273)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	46,'male',38.17,2,'no','southeast',8347.1643)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	53,'female',36.86,3,'yes','northwest',46661.4424)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	27,'female',32.395,1,'no','northeast',18903.49141)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	23,'female',42.75,1,'yes','northeast',40904.1995)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	63,'female',25.08,0,'no','northwest',14254.6082)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	55,'male',29.9,0,'no','southwest',10214.636)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	35,'female',35.86,2,'no','southeast',5836.5204)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	34,'male',32.8,1,'no','southwest',14358.36437)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	19,'female',18.6,0,'no','southwest',1728.897)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	39,'female',23.87,5,'no','southeast',8582.3023)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	27,'male',45.9,2,'no','southwest',3693.428)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	57,'male',40.28,0,'no','northeast',20709.02034)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	52,'female',18.335,0,'no','northwest',9991.03765)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	28,'male',33.82,0,'no','northwest',19673.33573)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	50,'female',28.12,3,'no','northwest',11085.5868)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	44,'female',25,1,'no','southwest',7623.518)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	26,'female',22.23,0,'no','northwest',3176.2877)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	33,'male',30.25,0,'no','southeast',3704.3545)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	19,'female',32.49,0,'yes','northwest',36898.73308)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	50,'male',37.07,1,'no','southeast',9048.0273)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	41,'female',32.6,3,'no','southwest',7954.517)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	52,'female',24.86,0,'no','southeast',27117.99378)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	39,'male',32.34,2,'no','southeast',6338.0756)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	50,'male',32.3,2,'no','southwest',9630.397)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	52,'male',32.775,3,'no','northwest',11289.10925)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	60,'male',32.8,0,'yes','southwest',52590.82939)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	20,'female',31.92,0,'no','northwest',2261.5688)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	55,'male',21.5,1,'no','southwest',10791.96)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	42,'male',34.1,0,'no','southwest',5979.731)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	18,'female',30.305,0,'no','northeast',2203.73595)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	58,'female',36.48,0,'no','northwest',12235.8392)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	43,'female',32.56,3,'yes','southeast',40941.2854)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	35,'female',35.815,1,'no','northwest',5630.45785)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	48,'female',27.93,4,'no','northwest',11015.1747)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	36,'female',22.135,3,'no','northeast',7228.21565)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	19,'male',44.88,0,'yes','southeast',39722.7462)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	23,'female',23.18,2,'no','northwest',14426.07385)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	20,'female',30.59,0,'no','northeast',2459.7201)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	32,'female',41.1,0,'no','southwest',3989.841)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	43,'female',34.58,1,'no','northwest',7727.2532)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	34,'male',42.13,2,'no','southeast',5124.1887)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	30,'male',38.83,1,'no','southeast',18963.17192)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	18,'female',28.215,0,'no','northeast',2200.83085)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	41,'female',28.31,1,'no','northwest',7153.5539)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	35,'female',26.125,0,'no','northeast',5227.98875)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	57,'male',40.37,0,'no','southeast',10982.5013)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	29,'female',24.6,2,'no','southwest',4529.477)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	32,'male',35.2,2,'no','southwest',4670.64)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	37,'female',34.105,1,'no','northwest',6112.35295)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	18,'male',27.36,1,'yes','northeast',17178.6824)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	43,'female',26.7,2,'yes','southwest',22478.6)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	56,'female',41.91,0,'no','southeast',11093.6229)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	38,'male',29.26,2,'no','northwest',6457.8434)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	29,'male',32.11,2,'no','northwest',4433.9159)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	22,'female',27.1,0,'no','southwest',2154.361)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	52,'female',24.13,1,'yes','northwest',23887.6627)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	40,'female',27.4,1,'no','southwest',6496.886)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	23,'female',34.865,0,'no','northeast',2899.48935)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	31,'male',29.81,0,'yes','southeast',19350.3689)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	42,'female',41.325,1,'no','northeast',7650.77375)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	24,'female',29.925,0,'no','northwest',2850.68375)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	25,'female',30.3,0,'no','southwest',2632.992)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	48,'female',27.36,1,'no','northeast',9447.3824)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	23,'female',28.49,1,'yes','southeast',18328.2381)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	45,'male',23.56,2,'no','northeast',8603.8234)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	20,'male',35.625,3,'yes','northwest',37465.34375)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	62,'female',32.68,0,'no','northwest',13844.7972)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	43,'female',25.27,1,'yes','northeast',21771.3423)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	23,'female',28,0,'no','southwest',13126.67745)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	31,'female',32.775,2,'no','northwest',5327.40025)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	41,'female',21.755,1,'no','northeast',13725.47184)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	58,'female',32.395,1,'no','northeast',13019.16105)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	48,'female',36.575,0,'no','northwest',8671.19125)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	31,'female',21.755,0,'no','northwest',4134.08245)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	19,'female',27.93,3,'no','northwest',18838.70366)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	19,'female',30.02,0,'yes','northwest',33307.5508)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	41,'male',33.55,0,'no','southeast',5699.8375)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	40,'male',29.355,1,'no','northwest',6393.60345)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	31,'female',25.8,2,'no','southwest',4934.705)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	37,'male',24.32,2,'no','northwest',6198.7518)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	46,'male',40.375,2,'no','northwest',8733.22925)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	22,'male',32.11,0,'no','northwest',2055.3249)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	51,'male',32.3,1,'no','northeast',9964.06)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	18,'female',27.28,3,'yes','southeast',18223.4512)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	35,'male',17.86,1,'no','northwest',5116.5004)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	59,'female',34.8,2,'no','southwest',36910.60803)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	36,'male',33.4,2,'yes','southwest',38415.474)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	37,'female',25.555,1,'yes','northeast',20296.86345)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	59,'male',37.1,1,'no','southwest',12347.172)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	36,'male',30.875,1,'no','northwest',5373.36425)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	39,'male',34.1,2,'no','southeast',23563.01618)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	18,'male',21.47,0,'no','northeast',1702.4553)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	52,'female',33.3,2,'no','southwest',10806.839)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	27,'female',31.255,1,'no','northwest',3956.07145)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	18,'male',39.14,0,'no','northeast',12890.05765)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	40,'male',25.08,0,'no','southeast',5415.6612)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	29,'male',37.29,2,'no','southeast',4058.1161)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	46,'female',34.6,1,'yes','southwest',41661.602)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	38,'female',30.21,3,'no','northwest',7537.1639)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	30,'female',21.945,1,'no','northeast',4718.20355)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	40,'male',24.97,2,'no','southeast',6593.5083)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	50,'male',25.3,0,'no','southeast',8442.667)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	20,'female',24.42,0,'yes','southeast',26125.67477)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	41,'male',23.94,1,'no','northeast',6858.4796)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	33,'female',39.82,1,'no','southeast',4795.6568)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	38,'male',16.815,2,'no','northeast',6640.54485)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	42,'male',37.18,2,'no','southeast',7162.0122)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	56,'male',34.43,0,'no','southeast',10594.2257)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	58,'male',30.305,0,'no','northeast',11938.25595)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	52,'male',34.485,3,'yes','northwest',60021.39897)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	20,'female',21.8,0,'yes','southwest',20167.33603)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	54,'female',24.605,3,'no','northwest',12479.70895)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	58,'male',23.3,0,'no','southwest',11345.519)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	45,'female',27.83,2,'no','southeast',8515.7587)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	26,'male',31.065,0,'no','northwest',2699.56835)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	63,'female',21.66,0,'no','northeast',14449.8544)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	58,'female',28.215,0,'no','northwest',12224.35085)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	37,'male',22.705,3,'no','northeast',6985.50695)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	25,'female',42.13,1,'no','southeast',3238.4357)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	52,'male',41.8,2,'yes','southeast',47269.854)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	64,'male',36.96,2,'yes','southeast',49577.6624)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	22,'female',21.28,3,'no','northwest',4296.2712)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	28,'female',33.11,0,'no','southeast',3171.6149)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	18,'male',33.33,0,'no','southeast',1135.9407)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	28,'male',24.3,5,'no','southwest',5615.369)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	45,'female',25.7,3,'no','southwest',9101.798)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	33,'male',29.4,4,'no','southwest',6059.173)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	18,'female',39.82,0,'no','southeast',1633.9618)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	32,'male',33.63,1,'yes','northeast',37607.5277)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	24,'male',29.83,0,'yes','northeast',18648.4217)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	19,'male',19.8,0,'no','southwest',1241.565)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	20,'male',27.3,0,'yes','southwest',16232.847)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	40,'female',29.3,4,'no','southwest',15828.82173)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	34,'female',27.72,0,'no','southeast',4415.1588)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	42,'female',37.9,0,'no','southwest',6474.013)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	51,'female',36.385,3,'no','northwest',11436.73815)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	54,'female',27.645,1,'no','northwest',11305.93455)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	55,'male',37.715,3,'no','northwest',30063.58055)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	52,'female',23.18,0,'no','northeast',10197.7722)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	32,'female',20.52,0,'no','northeast',4544.2348)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	28,'male',37.1,1,'no','southwest',3277.161)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	41,'female',28.05,1,'no','southeast',6770.1925)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	43,'female',29.9,1,'no','southwest',7337.748)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	49,'female',33.345,2,'no','northeast',10370.91255)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	64,'male',23.76,0,'yes','southeast',26926.5144)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	55,'female',30.5,0,'no','southwest',10704.47)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	24,'male',31.065,0,'yes','northeast',34254.05335)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	20,'female',33.3,0,'no','southwest',1880.487)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	45,'male',27.5,3,'no','southwest',8615.3)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	26,'male',33.915,1,'no','northwest',3292.52985)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	25,'female',34.485,0,'no','northwest',3021.80915)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	43,'male',25.52,5,'no','southeast',14478.33015)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	35,'male',27.61,1,'no','southeast',4747.0529)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	26,'male',27.06,0,'yes','southeast',17043.3414)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	57,'male',23.7,0,'no','southwest',10959.33)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	22,'female',30.4,0,'no','northeast',2741.948)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	32,'female',29.735,0,'no','northwest',4357.04365)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	39,'male',29.925,1,'yes','northeast',22462.04375)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	25,'female',26.79,2,'no','northwest',4189.1131)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	48,'female',33.33,0,'no','southeast',8283.6807)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	47,'female',27.645,2,'yes','northwest',24535.69855)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	18,'female',21.66,0,'yes','northeast',14283.4594)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	18,'male',30.03,1,'no','southeast',1720.3537)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	61,'male',36.3,1,'yes','southwest',47403.88)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	47,'female',24.32,0,'no','northeast',8534.6718)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	28,'female',17.29,0,'no','northeast',3732.6251)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	36,'female',25.9,1,'no','southwest',5472.449)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	20,'male',39.4,2,'yes','southwest',38344.566)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	44,'male',34.32,1,'no','southeast',7147.4728)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	38,'female',19.95,2,'no','northeast',7133.9025)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	19,'male',34.9,0,'yes','southwest',34828.654)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	21,'male',23.21,0,'no','southeast',1515.3449)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	46,'male',25.745,3,'no','northwest',9301.89355)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	58,'male',25.175,0,'no','northeast',11931.12525)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	20,'male',22,1,'no','southwest',1964.78)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	18,'male',26.125,0,'no','northeast',1708.92575)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	28,'female',26.51,2,'no','southeast',4340.4409)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	33,'male',27.455,2,'no','northwest',5261.46945)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	19,'female',25.745,1,'no','northwest',2710.82855)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	45,'male',30.36,0,'yes','southeast',62592.87309)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	62,'male',30.875,3,'yes','northwest',46718.16325)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	25,'female',20.8,1,'no','southwest',3208.787)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	43,'male',27.8,0,'yes','southwest',37829.7242)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	42,'male',24.605,2,'yes','northeast',21259.37795)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	24,'female',27.72,0,'no','southeast',2464.6188)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	29,'female',21.85,0,'yes','northeast',16115.3045)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	32,'male',28.12,4,'yes','northwest',21472.4788)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	25,'female',30.2,0,'yes','southwest',33900.653)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	41,'male',32.2,2,'no','southwest',6875.961)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	42,'male',26.315,1,'no','northwest',6940.90985)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	33,'female',26.695,0,'no','northwest',4571.41305)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	34,'male',42.9,1,'no','southwest',4536.259)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	19,'female',34.7,2,'yes','southwest',36397.576)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	30,'female',23.655,3,'yes','northwest',18765.87545)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	18,'male',28.31,1,'no','northeast',11272.33139)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	19,'female',20.6,0,'no','southwest',1731.677)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	18,'male',53.13,0,'no','southeast',1163.4627)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	35,'male',39.71,4,'no','northeast',19496.71917)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	39,'female',26.315,2,'no','northwest',7201.70085)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	31,'male',31.065,3,'no','northwest',5425.02335)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	62,'male',26.695,0,'yes','northeast',28101.33305)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	62,'male',38.83,0,'no','southeast',12981.3457)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	42,'female',40.37,2,'yes','southeast',43896.3763)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	31,'male',25.935,1,'no','northwest',4239.89265)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	61,'male',33.535,0,'no','northeast',13143.33665)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	42,'female',32.87,0,'no','northeast',7050.0213)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	51,'male',30.03,1,'no','southeast',9377.9047)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	23,'female',24.225,2,'no','northeast',22395.74424)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	52,'male',38.6,2,'no','southwest',10325.206)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	57,'female',25.74,2,'no','southeast',12629.1656)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	23,'female',33.4,0,'no','southwest',10795.93733)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	52,'female',44.7,3,'no','southwest',11411.685)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	50,'male',30.97,3,'no','northwest',10600.5483)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	18,'female',31.92,0,'no','northeast',2205.9808)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	18,'female',36.85,0,'no','southeast',1629.8335)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	21,'female',25.8,0,'no','southwest',2007.945)
insert into insuranceData (age, gender,bmi,children,smoker,region,charges) values(	61,'female',29.07,0,'yes','northwest',29141.3603)

select (select max(charges)from  insuranceData 
where age = 45 and  gender='male' and children= 5) - (select min(charges)from  insuranceData 
where age = 45 and  gender='female' and children= 5)

View schema
Execution time: 1,11 sec, rows selected: 1, rows affected: 1338, absolute service time: 1,3 sec, absolute service time: 1,33 sec