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shivaylamba/iphone_purchase_record.csv

Created January 18, 2023 13:20
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iphone_purchase_record.csv
Gender Age Salary Purchase Iphone
Male 19 19000 0
Male 35 20000 0
Female 26 43000 0
Female 27 57000 0
Male 19 76000 0
Male 27 58000 0
Female 27 84000 0
Female 32 150000 1
Male 25 33000 0
Female 35 65000 0
Female 26 80000 0
Female 26 52000 0
Male 20 86000 0
Male 32 18000 0
Male 18 82000 0
Male 29 80000 0
Male 47 25000 1
Male 45 26000 1
Male 46 28000 1
Female 48 29000 1
Male 45 22000 1
Female 47 49000 1
Male 48 41000 1
Female 45 22000 1
Male 46 23000 1
Male 47 20000 1
Male 49 28000 1
Female 47 30000 1
Male 29 43000 0
Male 31 18000 0
Male 31 74000 0
Female 27 137000 1
Female 21 16000 0
Female 28 44000 0
Male 27 90000 0
Male 35 27000 0
Female 33 28000 0
Male 30 49000 0
Female 26 72000 0
Female 27 31000 0
Female 27 17000 0
Female 33 51000 0
Male 35 108000 0
Male 30 15000 0
Female 28 84000 0
Male 23 20000 0
Male 25 79000 0
Female 27 54000 0
Male 30 135000 1
Female 31 89000 0
Female 24 32000 0
Female 18 44000 0
Female 29 83000 0
Female 35 23000 0
Female 27 58000 0
Female 24 55000 0
Female 23 48000 0
Male 28 79000 0
Male 22 18000 0
Female 32 117000 0
Male 27 20000 0
Male 25 87000 0
Female 23 66000 0
Male 32 120000 1
Female 59 83000 0
Male 24 58000 0
Male 24 19000 0
Female 23 82000 0
Female 22 63000 0
Female 31 68000 0
Male 25 80000 0
Female 24 27000 0
Female 20 23000 0
Female 33 113000 0
Male 32 18000 0
Male 34 112000 1
Male 18 52000 0
Female 22 27000 0
Female 28 87000 0
Female 26 17000 0
Male 30 80000 0
Male 39 42000 0
Male 20 49000 0
Male 35 88000 0
Female 30 62000 0
Female 31 118000 1
Male 24 55000 0
Female 28 85000 0
Male 26 81000 0
Male 35 50000 0
Male 22 81000 0
Female 30 116000 0
Male 26 15000 0
Female 29 28000 0
Female 29 83000 0
Female 35 44000 0
Female 35 25000 0
Male 28 123000 1
Male 35 73000 0
Female 28 37000 0
Male 27 88000 0
Male 28 59000 0
Female 32 86000 0
Female 33 149000 1
Female 19 21000 0
Male 21 72000 0
Female 26 35000 0
Male 27 89000 0
Male 26 86000 0
Female 38 80000 0
Female 39 71000 0
Female 37 71000 0
Male 38 61000 0
Male 37 55000 0
Male 42 80000 0
Male 40 57000 0
Male 35 75000 0
Male 36 52000 0
Male 40 59000 0
Male 41 59000 0
Female 36 75000 0
Male 37 72000 0
Female 40 75000 0
Male 35 53000 0
Female 41 51000 0
Female 39 61000 0
Male 42 65000 0
Male 26 32000 0
Male 30 17000 0
Female 26 84000 0
Male 31 58000 0
Male 33 31000 0
Male 30 87000 0
Female 21 68000 0
Female 28 55000 0
Male 23 63000 0
Female 20 82000 0
Male 30 107000 1
Female 28 59000 0
Male 19 25000 0
Male 19 85000 0
Female 18 68000 0
Male 35 59000 0
Male 30 89000 0
Female 34 25000 0
Female 24 89000 0
Female 27 96000 1
Female 41 30000 0
Male 29 61000 0
Male 20 74000 0
Female 26 15000 0
Male 41 45000 0
Male 31 76000 0
Female 36 50000 0
Male 40 47000 0
Female 31 15000 0
Male 46 59000 0
Male 29 75000 0
Male 26 30000 0
Female 32 135000 1
Male 32 100000 1
Male 25 90000 0
Female 37 33000 0
Male 35 38000 0
Female 33 69000 0
Female 18 86000 0
Female 22 55000 0
Female 35 71000 0
Male 29 148000 1
Female 29 47000 0
Male 21 88000 0
Male 34 115000 0
Female 26 118000 0
Female 34 43000 0
Female 34 72000 0
Female 23 28000 0
Female 35 47000 0
Male 25 22000 0
Male 24 23000 0
Female 31 34000 0
Male 26 16000 0
Female 31 71000 0
Female 32 117000 1
Male 33 43000 0
Female 33 60000 0
Male 31 66000 0
Female 20 82000 0
Female 33 41000 0
Male 35 72000 0
Male 28 32000 0
Male 24 84000 0
Female 19 26000 0
Male 29 43000 0
Male 19 70000 0
Male 28 89000 0
Male 34 43000 0
Female 30 79000 0
Female 20 36000 0
Male 26 80000 0
Male 35 22000 0
Male 35 39000 0
Male 49 74000 0
Female 39 134000 1
Female 41 71000 0
Female 58 101000 1
Female 47 47000 0
Female 55 130000 1
Female 52 114000 0
Female 40 142000 1
Female 46 22000 0
Female 48 96000 1
Male 52 150000 1
Female 59 42000 0
Male 35 58000 0
Male 47 43000 0
Female 60 108000 1
Male 49 65000 0
Male 40 78000 0
Female 46 96000 0
Male 59 143000 1
Female 41 80000 0
Male 35 91000 1
Male 37 144000 1
Male 60 102000 1
Female 35 60000 0
Male 37 53000 0
Female 36 126000 1
Male 56 133000 1
Female 40 72000 0
Female 42 80000 1
Female 35 147000 1
Male 39 42000 0
Male 40 107000 1
Male 49 86000 1
Female 38 112000 0
Male 46 79000 1
Male 40 57000 0
Female 37 80000 0
Female 46 82000 0
Female 53 143000 1
Male 42 149000 1
Male 38 59000 0
Female 50 88000 1
Female 56 104000 1
Female 41 72000 0
Female 51 146000 1
Female 35 50000 0
Female 57 122000 1
Male 41 52000 0
Female 35 97000 1
Female 44 39000 0
Male 37 52000 0
Female 48 134000 1
Female 37 146000 1
Female 50 44000 0
Female 52 90000 1
Female 41 72000 0
Male 40 57000 0
Female 58 95000 1
Female 45 131000 1
Female 35 77000 0
Male 36 144000 1
Female 55 125000 1
Female 35 72000 0
Male 48 90000 1
Female 42 108000 1
Male 40 75000 0
Male 37 74000 0
Female 47 144000 1
Male 40 61000 0
Female 43 133000 0
Female 59 76000 1
Male 60 42000 1
Male 39 106000 1
Female 57 26000 1
Male 57 74000 1
Male 38 71000 0
Male 49 88000 1
Female 52 38000 1
Female 50 36000 1
Female 59 88000 1
Male 35 61000 0
Male 37 70000 1
Female 52 21000 1
Male 48 141000 0
Female 37 93000 1
Female 37 62000 0
Female 48 138000 1
Male 41 79000 0
Female 37 78000 1
Male 39 134000 1
Male 49 89000 1
Male 55 39000 1
Male 37 77000 0
Female 35 57000 0
Female 36 63000 0
Male 42 73000 1
Female 43 112000 1
Male 45 79000 0
Male 46 117000 1
Female 58 38000 1
Male 48 74000 1
Female 37 137000 1
Male 37 79000 1
Female 40 60000 0
Male 42 54000 0
Female 51 134000 0
Female 47 113000 1
Male 36 125000 1
Female 38 50000 0
Female 42 70000 0
Male 39 96000 1
Female 38 50000 0
Female 49 141000 1
Female 39 79000 0
Female 39 75000 1
Female 54 104000 1
Male 35 55000 0
Male 45 32000 1
Male 36 60000 0
Female 52 138000 1
Female 53 82000 1
Male 41 52000 0
Female 48 30000 1
Female 48 131000 1
Female 41 60000 0
Male 41 72000 0
Female 42 75000 0
Male 36 118000 1
Female 47 107000 1
Male 38 51000 0
Female 48 119000 1
Male 42 65000 0
Male 40 65000 0
Male 57 60000 1
Female 36 54000 0
Male 58 144000 1
Male 35 79000 0
Female 38 55000 0
Male 39 122000 1
Female 53 104000 1
Male 35 75000 0
Female 38 65000 0
Female 47 51000 1
Male 47 105000 1
Female 41 63000 0
Male 53 72000 1
Female 54 108000 1
Male 39 77000 0
Male 38 61000 0
Female 38 113000 1
Male 37 75000 0
Female 42 90000 1
Female 37 57000 0
Male 36 99000 1
Male 60 34000 1
Male 54 70000 1
Female 41 72000 0
Male 40 71000 1
Male 42 54000 0
Male 43 129000 1
Female 53 34000 1
Female 47 50000 1
Female 42 79000 0
Male 42 104000 1
Female 59 29000 1
Female 58 47000 1
Male 46 88000 1
Male 38 71000 0
Female 54 26000 1
Female 60 46000 1
Male 60 83000 1
Female 39 73000 0
Male 59 130000 1
Female 37 80000 0
Female 46 32000 1
Female 46 74000 0
Female 42 53000 0
Male 41 87000 1
Female 58 23000 1
Male 42 64000 0
Male 48 33000 1
Female 44 139000 1
Male 49 28000 1
Female 57 33000 1
Male 56 60000 1
Female 49 39000 1
Male 39 71000 0
Male 47 34000 1
Female 48 35000 1
Male 48 33000 1
Male 47 23000 1
Female 45 45000 1
Male 60 42000 1
Female 39 59000 0
Female 46 41000 1
Male 51 23000 1
Female 50 20000 1
Male 36 33000 0
Female 49 36000 1
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