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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)
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Availible schedules
Time packing with joins
index
string concatenation as aggregate operator in group by
Elena-Tests
Sql server 2012 features list
Task_7_Final
ASSESSMENT2
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Program2