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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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count events by 2 shift cycles using CTE
Caronas
Grouping, aggregate function issue when joining to another table
COMPUTED COLUMN
gfhrey
Dividing runs by time stamp
mc170403050
group_by
manish
comparison and logical