Datasets:
Garsa3112
/
AssignmentDataset

Dataset card Data Studio Files
xet
Community
1
CustomerID
int64
1
200
Gender
stringclasses
2 values
Age
int64
18
70
Annual Income (k$)
int64
15
137
Spending Score (1-100)
int64
1
99
1
Male
19
15
39
2
Male
21
15
81
3
Female
20
16
6
4
Female
23
16
77
5
Female
31
17
40
6
Female
22
17
76
7
Female
35
18
6
8
Female
23
18
94
9
Male
64
19
3
10
Female
30
19
72
11
Male
67
19
14
12
Female
35
19
99
13
Female
58
20
15
14
Female
24
20
77
15
Male
37
20
13
16
Male
22
20
79
17
Female
35
21
35
18
Male
20
21
66
19
Male
52
23
29
20
Female
35
23
98
21
Male
35
24
35
22
Male
25
24
73
23
Female
46
25
5
24
Male
31
25
73
25
Female
54
28
14
26
Male
29
28
82
27
Female
45
28
32
28
Male
35
28
61
29
Female
40
29
31
30
Female
23
29
87
31
Male
60
30
4
32
Female
21
30
73
33
Male
53
33
4
34
Male
18
33
92
35
Female
49
33
14
36
Female
21
33
81
37
Female
42
34
17
38
Female
30
34
73
39
Female
36
37
26
40
Female
20
37
75
41
Female
65
38
35
42
Male
24
38
92
43
Male
48
39
36
44
Female
31
39
61
45
Female
49
39
28
46
Female
24
39
65
47
Female
50
40
55
48
Female
27
40
47
49
Female
29
40
42
50
Female
31
40
42
51
Female
49
42
52
52
Male
33
42
60
53
Female
31
43
54
54
Male
59
43
60
55
Female
50
43
45
56
Male
47
43
41
57
Female
51
44
50
58
Male
69
44
46
59
Female
27
46
51
60
Male
53
46
46
61
Male
70
46
56
62
Male
19
46
55
63
Female
67
47
52
64
Female
54
47
59
65
Male
63
48
51
66
Male
18
48
59
67
Female
43
48
50
68
Female
68
48
48
69
Male
19
48
59
70
Female
32
48
47
71
Male
70
49
55
72
Female
47
49
42
73
Female
60
50
49
74
Female
60
50
56
75
Male
59
54
47
76
Male
26
54
54
77
Female
45
54
53
78
Male
40
54
48
79
Female
23
54
52
80
Female
49
54
42
81
Male
57
54
51
82
Male
38
54
55
83
Male
67
54
41
84
Female
46
54
44
85
Female
21
54
57
86
Male
48
54
46
87
Female
55
57
58
88
Female
22
57
55
89
Female
34
58
60
90
Female
50
58
46
91
Female
68
59
55
92
Male
18
59
41
93
Male
48
60
49
94
Female
40
60
40
95
Female
32
60
42
96
Male
24
60
52
97
Female
47
60
47
98
Female
27
60
50
99
Male
48
61
42
100
Male
20
61
49