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
11,109,846
male
23
196
96
28
98
40.9
16,495,171
female
41
170
65
3
88
38.5
10,179,670
female
63
157
58
28
100
40.6
18,096,646
female
21
156
55
19
108
40.5
11,078,039
female
39
163
59
5
82
39.1
16,603,532
female
29
163
60
19
109
40.1
12,655,072
female
61
161
58
15
91
40.2
10,216,387
male
48
181
88
9
96
40
16,532,064
female
45
166
63
28
121
41.1
10,406,685
male
64
186
89
24
110
40.9
19,702,079
male
28
191
94
1
82
37.8
18,171,011
female
31
165
61
30
105
40.7
18,818,054
male
39
201
99
20
100
40.4
19,727,017
male
72
200
107
15
96
39.9
13,305,598
male
47
176
78
3
81
38.6
12,772,229
female
23
148
46
24
104
40.8
13,073,458
female
21
165
60
20
103
40.6
19,832,134
male
43
186
93
20
107
40.3
12,459,349
male
32
169
71
5
86
39.4
17,552,338
male
27
184
84
16
101
40.3
11,978,402
female
79
170
69
2
82
38.7
15,580,707
male
24
200
94
24
112
40.4
17,677,331
female
22
154
52
12
94
39.7
10,965,909
female
28
175
70
11
97
39.9
13,057,536
female
73
173
72
16
99
40.4
17,367,800
male
36
180
86
13
94
39.9
15,499,627
female
43
179
75
18
98
40.5
11,989,680
male
58
188
90
6
81
39
18,230,784
male
27
187
87
17
95
40.3
18,267,328
female
24
162
61
28
106
40.7
12,158,638
female
38
177
78
4
79
38.9
12,687,046
female
59
163
64
10
96
39.4
16,616,271
female
30
164
62
2
81
38.1
15,531,323
male
68
187
81
9
87
39.6
16,151,207
female
20
157
54
29
101
41
18,273,071
female
73
160
58
13
102
40.1
18,204,412
female
75
156
61
29
102
41.2
18,797,005
male
53
186
91
12
88
40
15,349,518
male
21
204
98
16
94
40.1
10,598,444
female
34
178
72
23
104
40.9
14,392,926
male
46
187
88
7
97
39.5
13,381,303
female
68
164
67
30
110
41.2
14,661,410
female
43
162
66
28
100
40.4
11,723,141
male
31
182
85
3
85
38.4
12,140,587
female
24
160
63
3
79
38.5
11,641,241
female
59
151
52
25
104
40.8
11,346,415
female
24
179
76
20
114
40.3
10,408,742
male
62
177
82
29
107
40.9
18,664,104
male
62
184
88
24
106
40.6
10,834,133
male
54
183
91
18
109
40.6
14,592,180
female
49
176
75
15
91
40.5
10,979,333
female
21
173
66
7
88
39.2
13,226,857
female
40
164
66
10
91
39.6
14,250,390
female
52
154
53
25
101
40.7
13,364,333
male
26
184
90
26
101
40.8
13,306,496
male
20
163
67
19
98
40.1
10,854,548
female
53
157
56
21
98
40.2
16,613,234
male
22
170
75
29
116
40.7
16,361,546
male
49
189
86
29
109
40.8
17,115,421
male
26
186
82
21
106
40.6
18,370,505
male
52
196
97
24
104
40.9
19,332,445
male
35
175
77
25
100
40.8
14,522,893
male
58
183
86
13
91
39.8
19,424,749
male
38
173
77
3
91
38.8
10,473,293
male
20
191
88
29
113
40.8
13,309,010
male
22
173
70
25
105
40.6
15,172,401
female
60
162
60
24
98
40.7
14,357,161
male
33
196
99
28
110
40.5
16,127,786
male
45
175
82
1
76
38.1
12,626,325
female
63
147
54
29
117
40.4
16,836,137
female
52
161
64
11
99
40.1
18,935,396
female
58
149
55
5
85
39.1
11,962,395
male
34
167
74
20
93
40.4
16,987,189
male
28
180
86
16
98
40.2
14,523,629
female
42
163
61
6
88
39.2
11,390,594
male
20
182
87
28
101
40.9
12,654,687
male
20
186
81
9
92
39.7
16,228,731
female
73
156
57
3
80
38.6
18,342,843
male
32
196
99
12
96
39.9
17,676,057
female
28
160
61
5
88
39.6
12,893,175
female
36
165
65
20
102
40.4
11,231,211
male
40
183
81
8
85
40
11,907,551
male
52
183
87
11
90
39.7
16,425,173
female
20
171
66
25
104
40.4
15,359,278
male
71
190
88
29
106
40.9
13,631,848
male
29
198
100
11
78
40
16,012,851
female
28
159
61
29
109
40.3
17,229,972
male
61
171
72
11
87
40.2
12,241,923
female
55
160
58
21
104
40.9
18,580,532
male
35
174
73
30
114
40.9
13,677,567
male
31
198
102
30
107
40.8
13,493,089
male
78
180
88
18
102
40.4
19,249,358
male
29
188
89
29
111
40.8
14,928,289
female
36
157
54
5
80
39
17,125,361
female
22
164
64
18
91
40.5
19,685,895
female
41
161
55
3
87
38.7
18,334,068
female
55
158
54
27
105
41
14,839,368
male
22
196
101
14
103
39.9
11,695,562
female
29
165
65
11
77
40
19,649,640
male
29
200
106
9
83
39.8