Datasets:
anirudhabokil
/
insurance_data

Dataset card Data Studio Files
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index
int64
0
1.34k
age
int64
18
64
sex
stringclasses
2 values
bmi
float64
16
53.1
children
int64
0
5
smoker
stringclasses
2 values
region
stringclasses
4 values
charges
float64
1.12k
63.8k
0
19
female
27.9
0
yes
southwest
16,884.924
1
18
male
33.77
1
no
southeast
1,725.5523
2
28
male
33
3
no
southeast
4,449.462
3
33
male
22.705
0
no
northwest
21,984.47061
4
32
male
28.88
0
no
northwest
3,866.8552
5
31
female
25.74
0
no
southeast
3,756.6216
6
46
female
33.44
1
no
southeast
8,240.5896
7
37
female
27.74
3
no
northwest
7,281.5056
8
37
male
29.83
2
no
northeast
6,406.4107
9
60
female
25.84
0
no
northwest
28,923.13692
10
25
male
26.22
0
no
northeast
2,721.3208
11
62
female
26.29
0
yes
southeast
27,808.7251
12
23
male
34.4
0
no
southwest
1,826.843
13
56
female
39.82
0
no
southeast
11,090.7178
14
27
male
42.13
0
yes
southeast
39,611.7577
15
19
male
24.6
1
no
southwest
1,837.237
16
52
female
30.78
1
no
northeast
10,797.3362
17
23
male
23.845
0
no
northeast
2,395.17155
18
56
male
40.3
0
no
southwest
10,602.385
19
30
male
35.3
0
yes
southwest
36,837.467
20
60
female
36.005
0
no
northeast
13,228.84695
21
30
female
32.4
1
no
southwest
4,149.736
22
18
male
34.1
0
no
southeast
1,137.011
23
34
female
31.92
1
yes
northeast
37,701.8768
24
37
male
28.025
2
no
northwest
6,203.90175
25
59
female
27.72
3
no
southeast
14,001.1338
26
63
female
23.085
0
no
northeast
14,451.83515
27
55
female
32.775
2
no
northwest
12,268.63225
28
23
male
17.385
1
no
northwest
2,775.19215
29
31
male
36.3
2
yes
southwest
38,711
30
22
male
35.6
0
yes
southwest
35,585.576
31
18
female
26.315
0
no
northeast
2,198.18985
32
19
female
28.6
5
no
southwest
4,687.797
33
63
male
28.31
0
no
northwest
13,770.0979
34
28
male
36.4
1
yes
southwest
51,194.55914
35
19
male
20.425
0
no
northwest
1,625.43375
36
62
female
32.965
3
no
northwest
15,612.19335
37
26
male
20.8
0
no
southwest
2,302.3
38
35
male
36.67
1
yes
northeast
39,774.2763
39
60
male
39.9
0
yes
southwest
48,173.361
40
24
female
26.6
0
no
northeast
3,046.062
41
31
female
36.63
2
no
southeast
4,949.7587
42
41
male
21.78
1
no
southeast
6,272.4772
43
37
female
30.8
2
no
southeast
6,313.759
44
38
male
37.05
1
no
northeast
6,079.6715
45
55
male
37.3
0
no
southwest
20,630.28351
46
18
female
38.665
2
no
northeast
3,393.35635
47
28
female
34.77
0
no
northwest
3,556.9223
48
60
female
24.53
0
no
southeast
12,629.8967
49
36
male
35.2
1
yes
southeast
38,709.176
50
18
female
35.625
0
no
northeast
2,211.13075
51
21
female
33.63
2
no
northwest
3,579.8287
52
48
male
28
1
yes
southwest
23,568.272
53
36
male
34.43
0
yes
southeast
37,742.5757
54
40
female
28.69
3
no
northwest
8,059.6791
55
58
male
36.955
2
yes
northwest
47,496.49445
56
58
female
31.825
2
no
northeast
13,607.36875
57
18
male
31.68
2
yes
southeast
34,303.1672
58
53
female
22.88
1
yes
southeast
23,244.7902
59
34
female
37.335
2
no
northwest
5,989.52365
60
43
male
27.36
3
no
northeast
8,606.2174
61
25
male
33.66
4
no
southeast
4,504.6624
62
64
male
24.7
1
no
northwest
30,166.61817
63
28
female
25.935
1
no
northwest
4,133.64165
64
20
female
22.42
0
yes
northwest
14,711.7438
65
19
female
28.9
0
no
southwest
1,743.214
66
61
female
39.1
2
no
southwest
14,235.072
67
40
male
26.315
1
no
northwest
6,389.37785
68
40
female
36.19
0
no
southeast
5,920.1041
69
28
male
23.98
3
yes
southeast
17,663.1442
70
27
female
24.75
0
yes
southeast
16,577.7795
71
31
male
28.5
5
no
northeast
6,799.458
72
53
female
28.1
3
no
southwest
11,741.726
73
58
male
32.01
1
no
southeast
11,946.6259
74
44
male
27.4
2
no
southwest
7,726.854
75
57
male
34.01
0
no
northwest
11,356.6609
76
29
female
29.59
1
no
southeast
3,947.4131
77
21
male
35.53
0
no
southeast
1,532.4697
78
22
female
39.805
0
no
northeast
2,755.02095
79
41
female
32.965
0
no
northwest
6,571.02435
80
31
male
26.885
1
no
northeast
4,441.21315
81
45
female
38.285
0
no
northeast
7,935.29115
82
22
male
37.62
1
yes
southeast
37,165.1638
83
48
female
41.23
4
no
northwest
11,033.6617
84
37
female
34.8
2
yes
southwest
39,836.519
85
45
male
22.895
2
yes
northwest
21,098.55405
86
57
female
31.16
0
yes
northwest
43,578.9394
87
56
female
27.2
0
no
southwest
11,073.176
88
46
female
27.74
0
no
northwest
8,026.6666
89
55
female
26.98
0
no
northwest
11,082.5772
90
21
female
39.49
0
no
southeast
2,026.9741
91
53
female
24.795
1
no
northwest
10,942.13205
92
59
male
29.83
3
yes
northeast
30,184.9367
93
35
male
34.77
2
no
northwest
5,729.0053
94
64
female
31.3
2
yes
southwest
47,291.055
95
28
female
37.62
1
no
southeast
3,766.8838
96
54
female
30.8
3
no
southwest
12,105.32
97
55
male
38.28
0
no
southeast
10,226.2842
98
56
male
19.95
0
yes
northeast
22,412.6485
99
38
male
19.3
0
yes
southwest
15,820.699