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
12,847,212
female
30
168
62
6
76
39.4
11,986,136
male
76
187
96
12
96
40.1
11,830,053
male
60
193
90
15
95
40
14,737,350
male
54
188
90
23
108
40.9
15,294,669
female
49
166
66
11
89
39.6
17,146,724
female
24
173
66
7
82
39.3
17,490,159
female
28
161
57
6
83
39.5
15,501,381
male
72
197
102
25
106
40.9
16,736,138
male
32
171
78
29
112
40.9
18,493,316
female
36
159
59
17
93
40.3
17,497,515
male
65
204
103
14
93
40.1
14,364,172
female
36
163
67
27
97
40.7
14,217,831
female
32
159
63
23
103
40.3
10,483,147
male
42
180
84
2
80
38.6
18,046,507
male
34
191
94
29
109
40.9
12,414,011
male
34
181
78
3
86
38.2
10,710,546
male
26
191
86
8
83
39.3
16,175,343
male
31
203
105
29
113
40.8
12,020,646
female
64
157
63
17
105
40.1
13,611,443
male
34
185
93
20
99
40.3
16,383,525
male
63
204
112
29
110
40.4
17,841,776
male
44
194
87
27
108
40.8
10,735,479
male
36
190
96
17
90
40.3
13,117,699
male
41
173
71
28
104
41.2
16,042,685
male
73
168
77
18
97
40.3
10,315,558
male
31
186
85
28
106
40.8
12,304,455
male
22
179
73
10
84
39.9
15,503,276
female
34
161
56
18
102
40.6
10,565,624
female
21
168
65
25
109
40.3
12,458,510
female
22
145
50
3
89
38.7
13,885,247
male
33
190
97
24
100
40.8
11,572,170
female
51
157
60
21
103
40.4
19,911,268
male
45
195
99
2
83
37.9
12,859,596
female
33
175
67
25
101
41.1
15,376,017
male
47
198
97
7
91
39.3
19,921,858
female
70
175
74
9
79
40
19,187,230
female
77
160
63
8
92
39.5
10,874,559
female
35
172
71
11
85
39.9
11,746,700
female
44
161
60
2
89
38.4
10,952,850
female
71
164
60
18
97
40.5
16,785,115
female
54
174
75
9
87
39.6
14,951,529
female
63
166
68
26
108
40.8
13,846,186
female
50
149
55
13
101
40.4
10,590,765
male
63
200
105
15
102
40.3
15,032,837
female
30
163
58
22
109
40.5
15,511,677
female
33
163
57
4
84
38.7
18,148,848
male
38
189
91
24
100
40.5
13,172,849
male
20
183
81
17
97
40.5
18,401,432
female
67
159
62
13
94
40.2
14,857,446
male
24
188
90
14
103
40.1
12,734,403
male
30
197
103
27
109
40.5
11,693,744
female
35
145
49
18
103
40.2
10,622,381
female
63
176
79
29
111
40.5
18,548,803
female
50
157
60
6
91
39.4
18,119,523
male
33
200
101
17
98
40.5
13,991,141
female
36
163
58
4
84
39
10,677,750
male
75
187
97
7
84
39.1
17,724,752
male
56
184
93
13
97
39.9
17,047,475
female
50
182
75
22
111
40.6
18,908,393
male
24
183
80
27
116
40.6
19,475,479
female
32
172
72
8
80
39.5
10,854,360
male
49
193
100
22
99
40.5
17,425,584
female
77
170
65
3
89
39
15,539,064
male
67
171
75
19
97
40.5
14,130,669
male
23
182
81
30
112
41
15,015,988
male
37
192
95
21
98
40.7
13,741,485
female
35
163
59
20
107
40.6
13,015,812
male
34
185
83
23
97
40.8
13,939,844
female
49
168
67
21
98
40.4
13,135,068
female
69
156
61
8
83
39.4
13,286,573
male
49
194
101
16
103
40.4
19,246,830
female
41
150
51
22
95
40.2
18,976,105
male
42
195
95
17
105
40.2
14,714,345
male
52
188
93
21
107
40.6
18,319,225
female
26
158
60
12
91
40
14,775,199
female
79
178
80
25
104
40.5
10,074,404
male
72
172
82
19
107
40.5
16,366,307
male
34
195
92
10
91
39.9
13,945,114
female
60
152
50
7
89
39.8
16,749,464
female
45
158
57
7
91
39.3
18,521,428
male
33
188
92
19
98
40.4
10,207,737
male
56
192
97
20
109
40.5
10,722,362
female
21
153
54
8
94
39.8
15,316,949
female
50
161
61
18
99
40.5
14,920,065
male
60
184
86
27
105
41
10,809,847
male
39
162
72
28
108
40.7
12,363,678
male
48
175
75
19
110
40.7
17,804,243
female
38
163
65
19
97
40.5
15,862,195
male
54
190
95
22
110
40.3
12,555,008
male
23
195
89
27
104
41
13,788,834
female
72
164
68
15
94
40.2
19,113,986
male
47
179
79
6
74
39.3
19,510,192
female
58
170
72
8
103
39.9
15,831,321
male
41
179
85
25
101
40.8
14,142,930
male
62
193
100
8
90
39.4
16,036,236
female
30
168
67
29
107
40.9
19,962,170
female
32
156
56
23
113
40.5
11,390,035
male
20
178
80
9
84
39.4
16,163,940
female
53
168
65
21
102
40.5
17,847,428
male
51
189
95
30
112
41