User ID int64 15.6M 15.8M | Gender stringclasses 2 values | Age int64 18 60 | EstimatedSalary int64 15k 150k | Purchased int64 0 1 |
|---|---|---|---|---|
15,766,289 | Male | 27 | 88,000 | 0 |
15,593,014 | Male | 28 | 59,000 | 0 |
15,584,545 | Female | 32 | 86,000 | 0 |
15,675,949 | Female | 33 | 149,000 | 1 |
15,672,091 | Female | 19 | 21,000 | 0 |
15,801,658 | Male | 21 | 72,000 | 0 |
15,706,185 | Female | 26 | 35,000 | 0 |
15,789,863 | Male | 27 | 89,000 | 0 |
15,720,943 | Male | 26 | 86,000 | 0 |
15,697,997 | Female | 38 | 80,000 | 0 |
15,665,416 | Female | 39 | 71,000 | 0 |
15,660,200 | Female | 37 | 71,000 | 0 |
15,619,653 | Male | 38 | 61,000 | 0 |
15,773,447 | Male | 37 | 55,000 | 0 |
15,739,160 | Male | 42 | 80,000 | 0 |
15,689,237 | Male | 40 | 57,000 | 0 |
15,679,297 | Male | 35 | 75,000 | 0 |
15,591,433 | Male | 36 | 52,000 | 0 |
15,642,725 | Male | 40 | 59,000 | 0 |
15,701,962 | Male | 41 | 59,000 | 0 |
15,811,613 | Female | 36 | 75,000 | 0 |
15,741,049 | Male | 37 | 72,000 | 0 |
15,724,423 | Female | 40 | 75,000 | 0 |
15,574,305 | Male | 35 | 53,000 | 0 |
15,678,168 | Female | 41 | 51,000 | 0 |
15,697,020 | Female | 39 | 61,000 | 0 |
15,610,801 | Male | 42 | 65,000 | 0 |
15,745,232 | Male | 26 | 32,000 | 0 |
15,722,758 | Male | 30 | 17,000 | 0 |
15,792,102 | Female | 26 | 84,000 | 0 |
15,675,185 | Male | 31 | 58,000 | 0 |
15,801,247 | Male | 33 | 31,000 | 0 |
15,725,660 | Male | 30 | 87,000 | 0 |
15,638,963 | Female | 21 | 68,000 | 0 |
15,800,061 | Female | 28 | 55,000 | 0 |
15,578,006 | Male | 23 | 63,000 | 0 |
15,668,504 | Female | 20 | 82,000 | 0 |
15,687,491 | Male | 30 | 107,000 | 1 |
15,610,403 | Female | 28 | 59,000 | 0 |
15,741,094 | Male | 19 | 25,000 | 0 |
15,807,909 | Male | 19 | 85,000 | 0 |
15,666,141 | Female | 18 | 68,000 | 0 |
15,617,134 | Male | 35 | 59,000 | 0 |
15,783,029 | Male | 30 | 89,000 | 0 |
15,622,833 | Female | 34 | 25,000 | 0 |
15,746,422 | Female | 24 | 89,000 | 0 |
15,750,839 | Female | 27 | 96,000 | 1 |
15,749,130 | Female | 41 | 30,000 | 0 |
15,779,862 | Male | 29 | 61,000 | 0 |
15,767,871 | Male | 20 | 74,000 | 0 |
15,679,651 | Female | 26 | 15,000 | 0 |
15,576,219 | Male | 41 | 45,000 | 0 |
15,699,247 | Male | 31 | 76,000 | 0 |
15,619,087 | Female | 36 | 50,000 | 0 |
15,605,327 | Male | 40 | 47,000 | 0 |
15,610,140 | Female | 31 | 15,000 | 0 |
15,791,174 | Male | 46 | 59,000 | 0 |
15,602,373 | Male | 29 | 75,000 | 0 |
15,762,605 | Male | 26 | 30,000 | 0 |
15,598,840 | Female | 32 | 135,000 | 1 |
15,744,279 | Male | 32 | 100,000 | 1 |
15,670,619 | Male | 25 | 90,000 | 0 |
15,599,533 | Female | 37 | 33,000 | 0 |
15,757,837 | Male | 35 | 38,000 | 0 |
15,697,574 | Female | 33 | 69,000 | 0 |
15,578,738 | Female | 18 | 86,000 | 0 |
15,762,228 | Female | 22 | 55,000 | 0 |
15,614,827 | Female | 35 | 71,000 | 0 |
15,789,815 | Male | 29 | 148,000 | 1 |
15,579,781 | Female | 29 | 47,000 | 0 |
15,587,013 | Male | 21 | 88,000 | 0 |
15,570,932 | Male | 34 | 115,000 | 0 |
15,794,661 | Female | 26 | 118,000 | 0 |
15,581,654 | Female | 34 | 43,000 | 0 |
15,644,296 | Female | 34 | 72,000 | 0 |
15,614,420 | Female | 23 | 28,000 | 0 |
15,609,653 | Female | 35 | 47,000 | 0 |
15,594,577 | Male | 25 | 22,000 | 0 |
15,584,114 | Male | 24 | 23,000 | 0 |
15,673,367 | Female | 31 | 34,000 | 0 |
15,685,576 | Male | 26 | 16,000 | 0 |
15,774,727 | Female | 31 | 71,000 | 0 |
15,694,288 | Female | 32 | 117,000 | 1 |
15,603,319 | Male | 33 | 43,000 | 0 |
15,759,066 | Female | 33 | 60,000 | 0 |
15,814,816 | Male | 31 | 66,000 | 0 |
15,724,402 | Female | 20 | 82,000 | 0 |
15,571,059 | Female | 33 | 41,000 | 0 |
15,674,206 | Male | 35 | 72,000 | 0 |
15,715,160 | Male | 28 | 32,000 | 0 |
15,730,448 | Male | 24 | 84,000 | 0 |
15,662,067 | Female | 19 | 26,000 | 0 |
15,779,581 | Male | 29 | 43,000 | 0 |
15,662,901 | Male | 19 | 70,000 | 0 |
15,689,751 | Male | 28 | 89,000 | 0 |
15,667,742 | Male | 34 | 43,000 | 0 |
15,738,448 | Female | 30 | 79,000 | 0 |
15,680,243 | Female | 20 | 36,000 | 0 |
15,745,083 | Male | 26 | 80,000 | 0 |
15,708,228 | Male | 35 | 22,000 | 0 |
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