InsertData.sql, Sql Server

InsertData.sql

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)


run \| edit \| history \| help	0

λ

                                      .NET NoSQL database for rapid development