Datasets:
pgurazada1
/
medical-insurance

Dataset card Viewer Files Community
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
19
female
32.11
0
no
northwest
2,130.6759
48
female
32.23
1
no
southeast
8,871.1517
60
female
24.035
0
no
northwest
13,012.20865
27
female
36.08
0
yes
southeast
37,133.8982
46
male
22.3
0
no
southwest
7,147.105
28
female
28.88
1
no
northeast
4,337.7352
59
male
26.4
0
no
southeast
11,743.299
35
male
27.74
2
yes
northeast
20,984.0936
63
female
31.8
0
no
southwest
13,880.949
40
male
41.23
1
no
northeast
6,610.1097
20
male
33
1
no
southwest
1,980.07
40
male
30.875
4
no
northwest
8,162.71625
24
male
28.5
2
no
northwest
3,537.703
34
female
26.73
1
no
southeast
5,002.7827
45
female
30.9
2
no
southwest
8,520.026
41
female
37.1
2
no
southwest
7,371.772
53
female
26.6
0
no
northwest
10,355.641
27
male
23.1
0
no
southeast
2,483.736
26
female
29.92
1
no
southeast
3,392.9768
24
female
23.21
0
no
southeast
25,081.76784
34
female
33.7
1
no
southwest
5,012.471
53
female
33.25
0
no
northeast
10,564.8845
32
male
30.8
3
no
southwest
5,253.524
19
male
34.8
0
yes
southwest
34,779.615
42
male
24.64
0
yes
southeast
19,515.5416
55
male
33.88
3
no
southeast
11,987.1682
28
male
38.06
0
no
southeast
2,689.4954
58
female
41.91
0
no
southeast
24,227.33724
41
female
31.635
1
no
northeast
7,358.17565
47
male
25.46
2
no
northeast
9,225.2564
42
female
36.195
1
no
northwest
7,443.64305
59
female
27.83
3
no
southeast
14,001.2867
19
female
17.8
0
no
southwest
1,727.785
59
male
27.5
1
no
southwest
12,333.828
39
male
24.51
2
no
northwest
6,710.1919
40
female
22.22
2
yes
southeast
19,444.2658
18
female
26.73
0
no
southeast
1,615.7667
31
male
38.39
2
no
southeast
4,463.2051
19
male
29.07
0
yes
northwest
17,352.6803
44
male
38.06
1
no
southeast
7,152.6714
23
female
36.67
2
yes
northeast
38,511.6283
33
female
22.135
1
no
northeast
5,354.07465
55
female
26.8
1
no
southwest
35,160.13457
40
male
35.3
3
no
southwest
7,196.867
63
female
27.74
0
yes
northeast
29,523.1656
54
male
30.02
0
no
northwest
24,476.47851
60
female
38.06
0
no
southeast
12,648.7034
24
male
35.86
0
no
southeast
1,986.9334
19
male
20.9
1
no
southwest
1,832.094
29
male
28.975
1
no
northeast
4,040.55825
18
male
17.29
2
yes
northeast
12,829.4551
63
female
32.2
2
yes
southwest
47,305.305
54
male
34.21
2
yes
southeast
44,260.7499
27
male
30.3
3
no
southwest
4,260.744
50
male
31.825
0
yes
northeast
41,097.16175
55
female
25.365
3
no
northeast
13,047.33235
56
male
33.63
0
yes
northwest
43,921.1837
38
female
40.15
0
no
southeast
5,400.9805
51
male
24.415
4
no
northwest
11,520.09985
19
male
31.92
0
yes
northwest
33,750.2918
58
female
25.2
0
no
southwest
11,837.16
20
female
26.84
1
yes
southeast
17,085.2676
52
male
24.32
3
yes
northeast
24,869.8368
19
male
36.955
0
yes
northwest
36,219.40545
53
female
38.06
3
no
southeast
20,462.99766
46
male
42.35
3
yes
southeast
46,151.1245
40
male
19.8
1
yes
southeast
17,179.522
59
female
32.395
3
no
northeast
14,590.63205
45
male
30.2
1
no
southwest
7,441.053
49
male
25.84
1
no
northeast
9,282.4806
18
male
29.37
1
no
southeast
1,719.4363
50
male
34.2
2
yes
southwest
42,856.838
41
male
37.05
2
no
northwest
7,265.7025
50
male
27.455
1
no
northeast
9,617.66245
25
male
27.55
0
no
northwest
2,523.1695
47
female
26.6
2
no
northeast
9,715.841
19
male
20.615
2
no
northwest
2,803.69785
22
female
24.3
0
no
southwest
2,150.469
59
male
31.79
2
no
southeast
12,928.7911
51
female
21.56
1
no
southeast
9,855.1314
40
female
28.12
1
yes
northeast
22,331.5668
54
male
40.565
3
yes
northeast
48,549.17835
30
male
27.645
1
no
northeast
4,237.12655
55
female
32.395
1
no
northeast
11,879.10405
52
female
31.2
0
no
southwest
9,625.92
46
male
26.62
1
no
southeast
7,742.1098
46
female
48.07
2
no
northeast
9,432.9253
63
female
26.22
0
no
northwest
14,256.1928
59
female
36.765
1
yes
northeast
47,896.79135
52
male
26.4
3
no
southeast
25,992.82104
28
female
33.4
0
no
southwest
3,172.018
29
male
29.64
1
no
northeast
20,277.80751
25
male
45.54
2
yes
southeast
42,112.2356
22
female
28.82
0
no
southeast
2,156.7518
25
male
26.8
3
no
southwest
3,906.127
18
male
22.99
0
no
northeast
1,704.5681
19
male
27.7
0
yes
southwest
16,297.846
47
male
25.41
1
yes
southeast
21,978.6769
31
male
34.39
3
yes
northwest
38,746.3551
48
female
28.88
1
no
northwest
9,249.4952