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
15,736,397
Female
58
38,000
1
15,678,201
Male
48
74,000
1
15,720,745
Female
37
137,000
1
15,637,593
Male
37
79,000
1
15,598,070
Female
40
60,000
0
15,787,550
Male
42
54,000
0
15,603,942
Female
51
134,000
0
15,733,973
Female
47
113,000
1
15,596,761
Male
36
125,000
1
15,652,400
Female
38
50,000
0
15,717,893
Female
42
70,000
0
15,622,585
Male
39
96,000
1
15,733,964
Female
38
50,000
0
15,753,861
Female
49
141,000
1
15,747,097
Female
39
79,000
0
15,594,762
Female
39
75,000
1
15,667,417
Female
54
104,000
1
15,684,861
Male
35
55,000
0
15,742,204
Male
45
32,000
1
15,623,502
Male
36
60,000
0
15,774,872
Female
52
138,000
1
15,611,191
Female
53
82,000
1
15,674,331
Male
41
52,000
0
15,619,465
Female
48
30,000
1
15,575,247
Female
48
131,000
1
15,695,679
Female
41
60,000
0
15,713,463
Male
41
72,000
0
15,785,170
Female
42
75,000
0
15,796,351
Male
36
118,000
1
15,639,576
Female
47
107,000
1
15,693,264
Male
38
51,000
0
15,589,715
Female
48
119,000
1
15,769,902
Male
42
65,000
0
15,587,177
Male
40
65,000
0
15,814,553
Male
57
60,000
1
15,601,550
Female
36
54,000
0
15,664,907
Male
58
144,000
1
15,612,465
Male
35
79,000
0
15,810,800
Female
38
55,000
0
15,665,760
Male
39
122,000
1
15,588,080
Female
53
104,000
1
15,776,844
Male
35
75,000
0
15,717,560
Female
38
65,000
0
15,629,739
Female
47
51,000
1
15,729,908
Male
47
105,000
1
15,716,781
Female
41
63,000
0
15,646,936
Male
53
72,000
1
15,768,151
Female
54
108,000
1
15,579,212
Male
39
77,000
0
15,721,835
Male
38
61,000
0
15,800,515
Female
38
113,000
1
15,591,279
Male
37
75,000
0
15,587,419
Female
42
90,000
1
15,750,335
Female
37
57,000
0
15,699,619
Male
36
99,000
1
15,606,472
Male
60
34,000
1
15,778,368
Male
54
70,000
1
15,671,387
Female
41
72,000
0
15,573,926
Male
40
71,000
1
15,709,183
Male
42
54,000
0
15,577,514
Male
43
129,000
1
15,778,830
Female
53
34,000
1
15,768,072
Female
47
50,000
1
15,768,293
Female
42
79,000
0
15,654,456
Male
42
104,000
1
15,807,525
Female
59
29,000
1
15,574,372
Female
58
47,000
1
15,671,249
Male
46
88,000
1
15,779,744
Male
38
71,000
0
15,624,755
Female
54
26,000
1
15,611,430
Female
60
46,000
1
15,774,744
Male
60
83,000
1
15,629,885
Female
39
73,000
0
15,708,791
Male
59
130,000
1
15,793,890
Female
37
80,000
0
15,646,091
Female
46
32,000
1
15,596,984
Female
46
74,000
0
15,800,215
Female
42
53,000
0
15,577,806
Male
41
87,000
1
15,749,381
Female
58
23,000
1
15,683,758
Male
42
64,000
0
15,670,615
Male
48
33,000
1
15,715,622
Female
44
139,000
1
15,707,634
Male
49
28,000
1
15,806,901
Female
57
33,000
1
15,775,335
Male
56
60,000
1
15,724,150
Female
49
39,000
1
15,627,220
Male
39
71,000
0
15,672,330
Male
47
34,000
1
15,668,521
Female
48
35,000
1
15,807,837
Male
48
33,000
1
15,592,570
Male
47
23,000
1
15,748,589
Female
45
45,000
1
15,635,893
Male
60
42,000
1
15,757,632
Female
39
59,000
0
15,691,863
Female
46
41,000
1
15,706,071
Male
51
23,000
1
15,654,296
Female
50
20,000
1
15,755,018
Male
36
33,000
0
15,594,041
Female
49
36,000
1