Datasets:
mnemoraorg
/
calorie-burnt-15k

Dataset card Data Studio Files
xet
Community
1
User_ID
int64
10M
20M
Gender
stringclasses
2 values
Age
int64
20
79
Height
float64
123
222
Weight
float64
36
132
Duration
float64
1
30
Heart_Rate
float64
67
128
Body_Temp
float64
37.1
41.5
14,364,885
male
43
180
79
1
78
37.4
16,919,831
female
44
152
56
23
111
40.7
13,984,160
male
50
181
91
24
106
40.6
14,135,363
male
55
173
74
24
105
40.6
10,895,141
male
61
192
92
24
100
40.9
18,622,531
female
59
155
59
26
105
40.8
12,977,108
female
57
154
61
20
97
40.6
17,193,442
male
62
180
82
20
104
40.6
16,900,906
female
20
158
54
10
99
39.8
16,425,056
male
51
192
102
7
94
39.4
13,982,325
male
52
182
84
12
87
40
15,278,480
male
41
174
79
18
102
39.9
12,551,278
male
73
186
89
6
90
39.2
14,942,355
male
53
198
99
9
78
39.7
19,967,093
male
29
193
99
2
83
38.2
10,646,136
female
72
181
76
29
112
40.8
16,997,918
male
31
164
68
3
78
38.8
17,180,141
female
65
156
54
18
96
40.2
16,216,574
female
35
183
73
17
97
40.5
17,947,672
female
67
159
58
6
94
39.5
16,602,612
female
24
169
67
22
95
40.4
18,001,980
male
51
199
96
14
88
40.5
19,197,016
female
54
155
59
16
91
40.5
13,917,413
male
24
191
90
30
113
40.8
11,501,061
female
41
169
62
29
111
41
10,723,598
female
51
173
74
24
101
40.3
17,388,068
male
26
188
89
22
108
40.6
10,271,560
male
28
197
98
7
85
39.6
15,345,779
female
26
175
66
18
100
40.5
19,007,399
male
59
179
84
29
116
40.7
12,849,819
male
29
185
84
27
109
40.9
10,735,403
female
53
152
53
25
109
41
16,882,195
male
28
172
78
27
103
40.8
18,431,947
female
57
178
73
23
102
40.3
19,766,819
female
32
162
58
19
108
40.6
18,408,109
female
35
180
76
11
91
39.8
10,106,805
female
22
159
58
9
87
39.4
16,423,928
male
78
196
101
3
88
38.6
19,509,736
male
30
206
103
7
91
39.1
14,018,261
female
23
162
59
2
83
38.4
13,095,877
male
55
191
98
17
104
40.2
14,431,680
female
58
175
73
14
99
40.2
14,947,633
female
29
175
74
1
71
38.1
15,371,460
female
45
165
61
18
96
40.2
15,133,209
male
55
185
92
6
78
39.3
16,456,150
female
51
156
55
19
108
40.3
19,031,522
male
46
195
100
13
92
40
15,889,712
female
21
168
58
5
87
39.3
12,713,199
female
25
159
57
7
79
39.6
18,430,459
female
31
166
64
12
89
39.9
19,916,629
male
23
178
81
23
105
40.5
16,792,185
male
68
191
98
18
97
40.6
14,736,314
female
48
159
61
18
102
40.4
15,438,462
male
24
199
103
14
87
39.9
13,290,862
female
46
171
68
25
102
40.6
14,683,204
male
71
198
104
24
104
40.7
12,671,704
male
25
178
82
26
112
40.4
18,825,699
female
38
165
62
27
104
40.5
13,435,310
female
32
163
64
11
94
39.6
16,466,204
female
31
158
60
10
101
39.5
14,673,359
male
23
202
107
5
83
39
18,188,395
female
62
159
61
5
83
39
17,334,990
female
21
162
55
8
85
39.5
15,770,602
male
79
175
83
24
107
40.5
14,246,681
male
65
191
99
19
98
40.1
18,419,973
male
79
190
95
20
101
40.6
12,847,753
male
24
189
85
12
92
40.1
16,863,945
female
50
172
69
10
96
39.9
12,182,787
female
43
190
88
4
81
38.5
18,030,171
female
34
163
65
16
105
40.1
10,750,470
male
36
183
80
16
95
40.5
18,450,755
male
27
203
104
6
86
39.2
15,223,071
female
25
169
65
28
104
40.9
14,791,051
male
20
189
91
16
95
40.2
11,227,763
female
63
169
68
21
107
40.6
11,056,050
female
47
165
67
17
96
40.4
14,958,187
female
44
166
67
30
116
40.9
12,556,026
female
46
173
68
14
104
40.2
12,765,990
male
51
183
81
10
86
39.9
14,761,049
female
25
167
65
17
96
40.7
14,533,111
female
22
161
67
3
81
38.6
13,535,958
male
29
188
89
19
95
40.8
19,807,300
male
22
177
74
21
97
40.5
19,200,234
male
66
199
101
20
95
40.8
14,508,404
male
31
182
86
22
101
40.6
11,040,953
female
46
168
66
4
78
39.1
12,610,726
male
22
178
75
24
91
40.5
18,746,025
female
42
181
77
23
102
40.7
14,361,981
female
26
160
61
22
110
40.7
15,606,411
male
61
179
84
27
116
40.7
19,715,870
female
22
190
79
19
96
40.3
10,050,978
male
51
181
87
9
91
39.6
14,722,670
male
27
170
70
13
92
40.1
13,584,585
male
45
179
78
11
98
39.9
18,209,611
female
48
159
57
10
94
39.8
15,644,082
female
20
193
86
11
92
40.4
17,212,577
female
27
165
65
6
85
39.2
17,271,188
female
43
159
58
16
90
40.1
18,643,037
male
78
193
97
2
84
38.3
11,751,526
male
63
173
79
18
92
40.5