Datasets:
Datasetssickness
/
MedicalCost

Dataset card Viewer Files Community
1
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
45
male
30.36
0
yes
southeast
62,592.87309
62
male
30.875
3
yes
northwest
46,718.16325
25
female
20.8
1
no
southwest
3,208.787
43
male
27.8
0
yes
southwest
37,829.7242
42
male
24.605
2
yes
northeast
21,259.37795
24
female
27.72
0
no
southeast
2,464.6188
29
female
21.85
0
yes
northeast
16,115.3045
32
male
28.12
4
yes
northwest
21,472.4788
25
female
30.2
0
yes
southwest
33,900.653
41
male
32.2
2
no
southwest
6,875.961
42
male
26.315
1
no
northwest
6,940.90985
33
female
26.695
0
no
northwest
4,571.41305
34
male
42.9
1
no
southwest
4,536.259
19
female
34.7
2
yes
southwest
36,397.576
30
female
23.655
3
yes
northwest
18,765.87545
18
male
28.31
1
no
northeast
11,272.33139
19
female
20.6
0
no
southwest
1,731.677
18
male
53.13
0
no
southeast
1,163.4627
35
male
39.71
4
no
northeast
19,496.71917
39
female
26.315
2
no
northwest
7,201.70085
31
male
31.065
3
no
northwest
5,425.02335
62
male
26.695
0
yes
northeast
28,101.33305
62
male
38.83
0
no
southeast
12,981.3457
42
female
40.37
2
yes
southeast
43,896.3763
31
male
25.935
1
no
northwest
4,239.89265
61
male
33.535
0
no
northeast
13,143.33665
42
female
32.87
0
no
northeast
7,050.0213
51
male
30.03
1
no
southeast
9,377.9047
23
female
24.225
2
no
northeast
22,395.74424
52
male
38.6
2
no
southwest
10,325.206
57
female
25.74
2
no
southeast
12,629.1656
23
female
33.4
0
no
southwest
10,795.93733
52
female
44.7
3
no
southwest
11,411.685
50
male
30.97
3
no
northwest
10,600.5483
18
female
31.92
0
no
northeast
2,205.9808
18
female
36.85
0
no
southeast
1,629.8335
21
female
25.8
0
no
southwest
2,007.945
61
female
29.07
0
yes
northwest
29,141.3603