Datasets:
mayankchugh-learning
/
insurance-charge-logs

Dataset card Data Studio Files
xet
 Community
1
age
int64
18
65
bmi
float64
17.3
52.6
children
int64
0
5
sex
stringclasses
2 values
smoker
stringclasses
2 values
region
stringclasses
5 values
prediction
float64
-1,545.57
46.2k
44
38.95
0
female
yes
northwest
35,785.918434
19
28.9
0
female
no
southwest
1,883.494758
21
34.87
0
female
no
southeast
4,561.823762
29
24.6
2
female
no
southwest
3,854.31141
62
26.695
0
male
yes
northeast
36,632.49755
19
25.175
0
male
no
northwest
1,048.355338
32
33.63
1
male
yes
northeast
31,686.242006
35
32
3
female
yes
northwest
32,406.180196
33
32.9
1
male
no
southhwest
7,586.426049
65
48.9
5
male
yes
southwest
46,205.159347
33
39
3
male
yes
southeast
33,946.097986
33
39
3
male
no
southeast
10,294.96913
33
39
1
male
no
southeast
9,444.411563
33
25
1
male
no
southeast
4,725.115836
33
25
1
female
no
southeast
4,743.707528
33
33.44
5
male
no
southeast
9,271.292109
58
25.175
0
male
no
northeast
11,441.085192
52
38.38
2
female
no
northeast
15,219.687364
33
33.44
5
male
no
southeast
9,271.292109
58
25.175
0
male
no
northeast
11,441.085192
52
38.38
2
female
no
northeast
15,219.687364
33
33.44
5
male
no
southeast
9,271.292109
58
25.175
0
male
no
northeast
11,441.085192
52
38.38
2
female
no
northeast
15,219.687364
35
30
4
male
yes
southwest
31,699.560156
28
26
5
male
yes
northwest
29,416.760819
33
33.44
5
male
no
southeast
9,271.292109
58
25.175
0
male
no
northeast
11,441.085192
52
38.38
2
female
no
northeast
15,219.687364