Datasets:
electricsheepafrica
/
africa-synth-mortality-heat-related-illness-all

Dataset card Data Studio Files
xet
 Community
id
int64
age
int64
sex
string
urban
int64
occupation
string
outdoor_worker
int64
has_chronic_condition
int64
elderly
int64
daily_tmax_c
float64
daily_tmin_c
float64
wbgt_c
float64
relative_humidity_pct
int64
heat_index_c
float64
heatwave_day
int64
consecutive_hot_days
int64
nighttime_heat
int64
uhi_effect
int64
ac_access
int64
shade_available
int64
water_accessible
int64
protective_behaviour
int64
diagnosis
string
heat_illness
int64
severity
string
hospitalised
int64
icu_admission
int64
died
int64
work_hours_lost
float64
work_capacity_pct
int64
early_warning_received
int64
health_facility_disrupted
int64
healthcare_accessible
int64
power_outage
int64
month
int64
year
int64
701
22
female
0
factory
0
0
0
33
27.1
22.9
70
36.5
0
0
1
0
0
0
0
1
none
0
na
0
0
0
0
100
0
0
0
0
5
2,022
702
67
female
0
other
0
0
1
30.6
23.4
28.8
51
33.1
0
0
0
0
1
0
0
0
none
0
na
0
0
0
0
100
0
0
0
0
4
2,021
703
11
female
1
domestic_worker
1
0
0
29.2
20
29.3
72
32.8
0
0
0
0
0
0
0
1
none
0
na
0
0
0
1.1
91
0
0
1
0
10
2,022
704
22
female
1
commercial_farmer
1
0
0
36.3
21.9
31.4
62
39.4
0
0
0
1
0
0
1
0
heat_cramps
1
severe
0
0
0
2.3
81
0
0
0
0
4
2,021
705
29
male
1
commercial_farmer
1
0
0
33.2
26.2
26.3
61
36.2
1
3
1
1
0
1
0
1
none
0
na
0
0
0
0.2
98
1
0
1
0
10
2,023
706
37
female
0
subsistence_farmer
1
0
0
32.1
26.4
27.2
46
34.4
0
0
1
0
0
0
0
1
none
0
na
0
0
0
1.1
91
1
0
1
0
8
2,023
707
64
female
0
student
0
0
0
33.1
25.7
34.7
51
35.6
0
0
1
0
0
0
0
1
none
0
na
0
0
0
0
100
0
0
0
0
8
2,022
708
34
male
1
office_indoor
0
0
0
32.4
18.6
29.1
54
35.1
1
5
0
0
0
0
1
0
none
0
na
0
0
0
0
100
1
0
0
0
10
2,021
709
44
male
0
subsistence_farmer
1
0
0
35.5
29.8
24.4
70
39
0
0
1
0
0
0
0
0
none
0
na
0
0
0
0
100
1
0
1
0
3
2,019
710
16
male
0
subsistence_farmer
1
0
0
32.7
25.9
27.8
81
36.8
0
0
1
0
0
1
0
0
none
0
na
0
0
0
0.8
93
0
0
1
0
10
2,021
711
14
male
0
domestic_worker
0
0
0
38.9
31.9
24.7
50
41.4
0
0
1
0
0
0
1
0
none
0
na
0
0
0
0
100
0
0
0
0
8
2,021
712
50
female
1
office_indoor
0
0
0
33.6
24.1
26
41
35.6
0
0
0
1
1
0
1
1
none
0
na
0
0
0
0
100
0
0
1
0
11
2,022
713
29
female
1
subsistence_farmer
1
0
0
32.6
21.9
25.4
43
34.8
0
0
0
1
0
0
1
0
none
0
na
0
0
0
0
100
0
0
0
0
11
2,023
714
48
male
1
construction
1
0
0
37.1
27.3
27.3
53
39.8
0
0
1
0
0
0
1
0
none
0
na
0
0
0
0
100
0
0
1
0
9
2,021
715
45
male
1
unemployed
1
0
0
34.2
20.9
25.5
43
36.4
0
0
0
1
0
1
1
0
none
0
na
0
0
0
0.1
99
0
0
0
0
10
2,021
716
39
male
1
market_vendor
1
0
0
31.8
17.9
24.1
43
34
0
0
0
1
0
0
0
0
none
0
na
0
0
0
0
100
0
0
0
0
5
2,019
717
37
male
0
subsistence_farmer
1
0
0
32.8
20.6
29.7
57
35.6
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
0
0
7
2,021
718
56
female
1
unemployed
0
0
0
28.9
14.7
29.4
77
32.8
0
0
0
0
1
1
0
0
none
0
na
0
0
0
0
100
0
0
1
0
8
2,022
719
37
male
0
subsistence_farmer
1
1
0
32.8
26
26
58
35.7
0
0
1
0
0
0
0
0
none
0
na
0
0
0
0.4
96
0
0
1
0
4
2,022
720
29
male
0
subsistence_farmer
1
0
0
34
21.9
30.8
57
36.9
0
0
0
0
0
0
0
0
none
0
na
0
0
0
1.3
89
0
0
0
0
5
2,023
721
23
female
0
office_indoor
0
0
0
29.6
18.6
32.7
78
33.5
0
0
0
0
0
0
1
0
none
0
na
0
0
0
0
100
0
0
1
0
3
2,022
722
21
male
0
domestic_worker
1
0
0
34.8
28.8
31.2
58
37.7
1
3
1
0
1
0
0
0
none
0
na
0
0
0
0.3
97
0
0
1
0
5
2,023
723
17
female
1
transport
0
0
0
32.3
18.6
26.1
69
35.8
0
0
0
1
0
0
0
0
none
0
na
0
0
0
0
100
0
0
0
0
5
2,019
724
30
female
1
office_indoor
0
0
0
34.9
29.4
26.4
75
38.6
1
3
1
0
1
0
1
1
none
0
na
0
0
0
0
100
0
0
0
1
7
2,022
725
26
male
1
construction
1
0
0
32.3
25.1
27
59
35.2
0
0
1
1
0
0
1
0
none
0
na
0
0
0
0.1
99
0
0
1
0
7
2,023
726
15
male
1
construction
1
0
0
32.4
20
30.4
68
35.8
0
0
0
0
0
1
1
0
none
0
na
0
0
0
0.7
94
0
0
0
0
9
2,020
727
19
male
1
market_vendor
1
1
0
34.4
28
29
61
37.4
0
0
1
1
0
0
0
0
cvd_exacerbation
1
moderate
1
0
0
0.7
94
0
0
0
0
12
2,022
728
25
female
1
student
0
0
0
27.8
19.5
28.5
49
30.2
0
0
0
1
0
1
0
1
none
0
na
0
0
0
0
100
0
0
0
0
5
2,019
729
40
male
1
other
1
0
0
31
25.1
29.9
44
33.2
0
0
1
0
0
0
1
0
none
0
na
0
0
0
0.3
97
0
0
1
0
10
2,022
730
63
female
0
construction
1
0
0
33.8
24.5
25.5
83
37.9
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
0
0
12
2,020
731
18
female
0
other
0
0
0
32.1
20.2
27.1
43
34.2
0
0
0
0
0
1
0
0
none
0
na
0
0
0
0
100
0
0
0
0
2
2,020
732
20
female
0
construction
1
0
0
35.2
27.5
27.8
78
39.1
0
0
1
0
0
1
0
0
none
0
na
0
0
0
0.4
96
0
0
1
0
11
2,022
733
40
female
1
office_indoor
0
0
0
35.7
30
33.9
46
38
0
0
1
1
0
1
1
0
dehydration
1
severe
1
0
0
0
100
0
0
0
0
11
2,023
734
21
male
0
subsistence_farmer
1
1
0
34.6
22.4
26.3
50
37.1
0
0
0
0
0
0
0
1
none
0
na
0
0
0
0
100
0
0
0
0
5
2,023
735
21
female
0
market_vendor
1
0
0
32.5
24.3
28.5
67
35.9
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
0
0
7
2,019
736
75
male
0
other
0
0
1
31.3
22
25.6
45
33.5
0
0
0
0
0
1
0
0
none
0
na
0
0
0
0
100
0
0
0
0
5
2,023
737
37
female
1
office_indoor
0
0
0
33.2
24.1
26.6
57
36.1
1
1
0
1
0
0
1
0
none
0
na
0
0
0
0
100
0
0
0
0
12
2,022
738
40
male
0
construction
1
0
0
36
21.7
31.3
68
39.4
1
1
0
0
0
0
0
0
none
0
na
0
0
0
0.1
99
0
1
1
1
4
2,023
739
21
female
1
transport
1
0
0
36
21.6
29.4
58
38.9
0
0
0
0
1
0
1
1
none
0
na
0
0
0
0.5
96
0
0
1
0
7
2,022
740
11
female
0
market_vendor
1
0
0
36.6
30.8
25.1
45
38.9
1
3
1
0
0
0
1
0
none
0
na
0
0
0
0
100
0
0
1
1
4
2,020
741
31
female
1
transport
1
0
0
32.5
20.3
27.9
48
34.9
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0.2
98
0
0
1
0
7
2,021
742
21
female
0
domestic_worker
0
0
0
33.1
27.3
26
53
35.8
0
0
1
0
0
1
1
1
none
0
na
0
0
0
0
100
0
0
1
0
6
2,020
743
20
male
0
mining
1
0
0
37
24.5
27.3
48
39.4
0
0
0
0
0
1
1
0
none
0
na
0
0
0
0.7
94
0
0
0
0
5
2,021
744
17
male
0
commercial_farmer
1
0
0
35.6
20.6
26
77
39.5
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0.1
99
0
0
0
0
10
2,020
745
48
male
0
commercial_farmer
1
0
0
29.7
15.1
25.6
68
33.1
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0.1
99
0
0
1
0
12
2,023
746
34
female
0
office_indoor
0
0
0
32.9
26
26
74
36.6
0
0
1
0
0
1
0
0
none
0
na
0
0
0
0
100
1
0
1
0
6
2,021
747
19
male
1
construction
1
1
0
30.3
18.3
27.3
84
34.5
0
0
0
1
0
1
1
0
none
0
na
0
0
0
0
100
0
0
1
0
12
2,021
748
30
male
0
office_indoor
0
0
0
38.5
27.4
29.1
61
41.5
0
0
1
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
1
0
5
2,020
749
12
female
0
construction
0
1
0
32.2
21
31.2
53
34.9
0
0
0
0
0
0
1
0
none
0
na
0
0
0
0
100
0
0
1
0
9
2,023
750
87
male
0
domestic_worker
0
1
1
28.6
16.4
25.9
61
31.7
0
0
0
0
0
1
1
1
none
0
na
0
0
0
0
100
0
0
1
0
10
2,021
751
27
female
0
subsistence_farmer
1
0
0
32
26.1
26.8
10
32.5
0
0
1
0
0
0
0
1
none
0
na
0
0
0
0.5
96
0
0
0
0
8
2,022
752
23
female
0
office_indoor
0
1
0
34.4
28
31.6
41
36.4
0
0
1
0
0
1
1
0
none
0
na
0
0
0
0
100
0
0
0
0
7
2,021
753
11
male
1
domestic_worker
0
0
0
28.7
18.4
26.8
35
30.4
0
0
0
1
0
0
1
1
none
0
na
0
0
0
0
100
0
0
0
0
5
2,022
754
40
male
0
domestic_worker
0
0
0
35.1
20.3
29.2
77
39
0
0
0
0
0
0
1
0
none
0
na
0
0
0
0
100
1
0
0
0
6
2,020
755
49
female
0
unemployed
1
0
0
35.3
25
30.7
53
37.9
0
0
0
0
0
0
0
1
none
0
na
0
0
0
0.9
92
0
0
1
0
10
2,023
756
54
female
0
subsistence_farmer
0
0
0
31.1
24.4
30.6
81
35.1
0
0
0
0
0
1
0
0
none
0
na
0
0
0
0
100
0
0
0
0
8
2,019
757
12
female
1
mining
1
0
0
29.6
19.5
27.1
55
32.4
0
0
0
1
0
0
1
0
none
0
na
0
0
0
0.1
99
0
0
1
0
3
2,023
758
60
male
0
office_indoor
0
0
0
35.2
20.6
31.1
53
37.9
0
0
0
0
0
1
0
0
none
0
na
0
0
0
0
100
0
0
1
0
10
2,022
759
13
female
1
mining
1
0
0
32.5
26.5
28.8
82
36.6
0
0
1
0
0
1
1
0
none
0
na
0
0
0
0
100
0
0
0
0
4
2,019
760
76
male
0
student
0
0
1
33.9
24
28
54
36.6
0
0
0
0
0
0
1
0
none
0
na
0
0
0
0
100
0
0
1
0
11
2,022
761
22
male
0
domestic_worker
0
0
0
35.7
24.3
28.8
60
38.7
0
0
0
0
0
1
1
1
none
0
na
0
0
0
0
100
0
0
1
0
11
2,019
762
57
male
1
construction
1
0
0
35.1
21.1
24.1
35
36.9
1
2
0
1
0
0
1
0
none
0
na
0
0
0
0
100
0
0
1
0
5
2,023
763
49
male
0
office_indoor
0
0
0
31.3
21.5
31.8
43
33.5
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
1
0
3
2,020
764
25
female
1
student
0
0
0
28.1
18.5
27.4
65
31.4
0
0
0
1
0
1
0
1
none
0
na
0
0
0
0
100
0
0
1
0
3
2,021
765
34
female
1
mining
1
0
0
35.6
21.7
29.4
44
37.8
0
0
0
0
1
1
1
0
none
0
na
0
0
0
1.3
89
0
0
1
0
5
2,023
766
11
female
0
student
0
0
0
30.9
22.3
27.8
65
34.1
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
1
0
6
2,019
767
63
female
1
commercial_farmer
1
0
0
30.2
22.7
33
62
33.3
0
0
0
0
0
0
1
0
none
0
na
0
0
0
0
100
0
0
1
0
5
2,023
768
12
female
0
domestic_worker
0
0
0
35.6
29
32.1
70
39.1
0
0
1
0
0
1
1
1
none
0
na
0
0
0
0
100
0
0
1
0
10
2,023
769
45
male
0
unemployed
0
0
0
26
16
25.9
60
29
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
0
0
9
2,023
770
14
male
1
domestic_worker
1
1
0
32.8
24.2
30.3
52
35.4
0
0
0
0
1
0
0
1
none
0
na
0
0
0
0
100
0
0
1
0
11
2,021
771
21
male
0
subsistence_farmer
1
0
0
32.5
19.4
24.6
49
35
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
0
0
5
2,021
772
52
female
0
construction
1
1
0
37.8
26.5
23.9
67
41.1
0
0
1
0
1
0
1
0
none
0
na
0
0
0
0
100
0
0
0
0
8
2,023
773
14
female
0
mining
1
0
0
33.2
21.2
28.3
44
35.4
1
1
0
0
1
1
1
1
none
0
na
0
0
0
0.6
95
0
0
1
0
5
2,021
774
95
female
0
construction
1
0
1
39.8
25.2
29.9
58
42.7
0
0
1
0
0
1
0
0
none
0
na
0
0
0
0.6
95
0
0
1
0
12
2,020
775
26
female
1
office_indoor
0
0
0
33.9
19.4
29.3
70
37.4
0
0
0
1
0
0
1
0
none
0
na
0
0
0
0
100
0
0
0
0
5
2,022
776
37
female
0
commercial_farmer
1
0
0
31.9
18.9
30.3
47
34.2
0
0
0
0
0
1
1
0
none
0
na
0
0
0
0.6
95
1
0
1
0
8
2,021
777
23
male
0
factory
0
0
0
29.9
20.3
29.7
82
34
0
0
0
0
0
1
0
0
none
0
na
0
0
0
0
100
0
0
1
0
3
2,023
778
23
female
1
unemployed
0
0
0
34.6
23.1
37
58
37.5
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
0
0
2
2,022
779
13
female
0
domestic_worker
1
0
0
36.3
24.5
27.3
37
38.1
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0.5
96
0
0
0
0
3
2,022
780
40
male
0
unemployed
0
0
0
35.9
21.9
28.1
65
39.1
0
0
0
0
1
0
0
1
none
0
na
0
0
0
0
100
0
0
0
0
5
2,019
781
42
male
0
domestic_worker
0
0
0
32
21.3
24.5
71
35.5
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
0
0
8
2,019
782
26
male
0
unemployed
0
0
0
36.3
24.8
29
65
39.5
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0
100
1
0
0
0
9
2,019
783
27
female
1
office_indoor
0
0
0
29.2
19.3
28.8
61
32.2
0
0
0
0
0
1
1
0
none
0
na
0
0
0
0
100
0
0
1
0
3
2,020
784
23
female
0
subsistence_farmer
1
0
0
32.5
25
28.5
49
35
0
0
0
0
0
0
1
1
none
0
na
0
0
0
0
100
0
0
0
0
2
2,022
785
17
female
0
other
0
1
0
32.3
26.7
31.2
81
36.3
0
0
1
0
1
0
1
0
none
0
na
0
0
0
0
100
0
0
0
0
2
2,023
786
28
male
1
commercial_farmer
1
0
0
33.7
18.7
27.4
70
37.2
0
0
0
1
0
0
1
1
none
0
na
0
0
0
0.2
98
0
0
0
0
6
2,021
787
41
female
0
market_vendor
1
0
0
33.1
27
29.7
47
35.5
0
0
1
0
0
0
0
0
none
0
na
0
0
0
0.5
96
0
0
0
0
3
2,021
788
25
female
0
student
0
0
0
29.1
15.5
26.6
31
30.7
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
0
0
10
2,023
789
36
female
1
subsistence_farmer
1
0
0
34.6
20.4
31.1
40
36.6
0
0
0
1
0
1
1
1
none
0
na
0
0
0
0.8
93
0
0
0
0
2
2,023
790
26
male
0
unemployed
0
0
0
35.2
28.7
26.4
43
37.4
0
0
1
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
0
0
8
2,021
791
31
female
0
commercial_farmer
1
0
0
32.9
26
33.4
52
35.5
0
0
1
0
0
0
0
0
cvd_exacerbation
1
mild
0
0
0
2.1
83
0
0
0
0
1
2,023
792
8
female
1
factory
1
1
0
31.6
25.4
28.7
61
34.6
0
0
1
1
0
0
1
0
none
0
na
0
0
0
0
100
0
0
0
0
3
2,020
793
10
male
0
subsistence_farmer
1
0
0
30.9
25
27.7
51
33.4
1
4
0
0
0
0
1
0
none
0
na
0
0
0
0.5
96
0
0
1
0
3
2,023
794
15
female
1
construction
1
1
0
30.2
15.3
33.1
62
33.3
0
0
0
1
0
1
0
0
none
0
na
0
0
0
0.2
98
0
0
1
0
12
2,023
795
29
male
1
domestic_worker
0
0
0
34.4
22.2
30.8
18
35.3
0
0
0
1
0
0
0
0
none
0
na
0
0
0
0
100
0
0
0
0
2
2,022
796
9
male
0
transport
0
0
0
29.9
17
28.3
62
33
0
0
0
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
0
0
4
2,023
797
66
female
1
subsistence_farmer
1
1
1
29
23
30.1
41
31.1
0
0
0
1
0
1
0
1
none
0
na
0
0
0
0
100
0
0
0
0
10
2,021
798
59
male
0
subsistence_farmer
1
0
0
40.4
30.3
32.1
46
42.7
0
0
1
0
0
0
0
0
none
0
na
0
0
0
0
100
0
0
1
0
4
2,023
799
23
female
0
construction
1
0
0
30.2
19.1
29.9
25
31.4
0
0
0
0
0
1
0
0
none
0
na
0
0
0
0.8
93
1
0
1
0
8
2,022
800
34
male
1
unemployed
0
0
0
33.6
19.5
28.7
32
35.2
0
0
0
1
0
0
0
1
none
0
na
0
0
0
0
100
0
0
0
0
10
2,022