Datasets:
Rodrigopiva
/
Social_Network_Ads.csv

Dataset card Data Studio Files
xet
Community
User ID
int64
15.6M
15.8M
Gender
stringclasses
2 values
Age
int64
18
60
EstimatedSalary
int64
15k
150k
Purchased
int64
0
1
15,628,523
Male
35
39,000
0
15,708,196
Male
49
74,000
0
15,735,549
Female
39
134,000
1
15,809,347
Female
41
71,000
0
15,660,866
Female
58
101,000
1
15,766,609
Female
47
47,000
0
15,654,230
Female
55
130,000
1
15,794,566
Female
52
114,000
0
15,800,890
Female
40
142,000
1
15,697,424
Female
46
22,000
0
15,724,536
Female
48
96,000
1
15,735,878
Male
52
150,000
1
15,707,596
Female
59
42,000
0
15,657,163
Male
35
58,000
0
15,622,478
Male
47
43,000
0
15,779,529
Female
60
108,000
1
15,636,023
Male
49
65,000
0
15,582,066
Male
40
78,000
0
15,666,675
Female
46
96,000
0
15,732,987
Male
59
143,000
1
15,789,432
Female
41
80,000
0
15,663,161
Male
35
91,000
1
15,694,879
Male
37
144,000
1
15,593,715
Male
60
102,000
1
15,575,002
Female
35
60,000
0
15,622,171
Male
37
53,000
0
15,795,224
Female
36
126,000
1
15,685,346
Male
56
133,000
1
15,691,808
Female
40
72,000
0
15,721,007
Female
42
80,000
1
15,794,253
Female
35
147,000
1
15,694,453
Male
39
42,000
0
15,813,113
Male
40
107,000
1
15,614,187
Male
49
86,000
1
15,619,407
Female
38
112,000
0
15,646,227
Male
46
79,000
1
15,660,541
Male
40
57,000
0
15,753,874
Female
37
80,000
0
15,617,877
Female
46
82,000
0
15,772,073
Female
53
143,000
1
15,701,537
Male
42
149,000
1
15,736,228
Male
38
59,000
0
15,780,572
Female
50
88,000
1
15,769,596
Female
56
104,000
1
15,586,996
Female
41
72,000
0
15,722,061
Female
51
146,000
1
15,638,003
Female
35
50,000
0
15,775,590
Female
57
122,000
1
15,730,688
Male
41
52,000
0
15,753,102
Female
35
97,000
1
15,810,075
Female
44
39,000
0
15,723,373
Male
37
52,000
0
15,795,298
Female
48
134,000
1
15,584,320
Female
37
146,000
1
15,724,161
Female
50
44,000
0
15,750,056
Female
52
90,000
1
15,609,637
Female
41
72,000
0
15,794,493
Male
40
57,000
0
15,569,641
Female
58
95,000
1
15,815,236
Female
45
131,000
1
15,811,177
Female
35
77,000
0
15,680,587
Male
36
144,000
1
15,672,821
Female
55
125,000
1
15,767,681
Female
35
72,000
0
15,600,379
Male
48
90,000
1
15,801,336
Female
42
108,000
1
15,721,592
Male
40
75,000
0
15,581,282
Male
37
74,000
0
15,746,203
Female
47
144,000
1
15,583,137
Male
40
61,000
0
15,680,752
Female
43
133,000
0
15,688,172
Female
59
76,000
1
15,791,373
Male
60
42,000
1
15,589,449
Male
39
106,000
1
15,692,819
Female
57
26,000
1
15,727,467
Male
57
74,000
1
15,734,312
Male
38
71,000
0
15,764,604
Male
49
88,000
1
15,613,014
Female
52
38,000
1
15,759,684
Female
50
36,000
1
15,609,669
Female
59
88,000
1
15,685,536
Male
35
61,000
0
15,750,447
Male
37
70,000
1
15,663,249
Female
52
21,000
1
15,638,646
Male
48
141,000
0
15,734,161
Female
37
93,000
1
15,631,070
Female
37
62,000
0
15,761,950
Female
48
138,000
1
15,649,668
Male
41
79,000
0
15,713,912
Female
37
78,000
1
15,586,757
Male
39
134,000
1
15,596,522
Male
49
89,000
1
15,625,395
Male
55
39,000
1
15,760,570
Male
37
77,000
0
15,566,689
Female
35
57,000
0
15,725,794
Female
36
63,000
0
15,673,539
Male
42
73,000
1
15,705,298
Female
43
112,000
1
15,675,791
Male
45
79,000
0
15,747,043
Male
46
117,000
1