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
17,283,720
male
57
181
84
4
88
38.9
16,734,953
female
44
177
78
26
105
41.2
17,269,324
male
79
169
76
23
95
40.6
18,455,988
female
28
165
61
30
110
40.9
18,459,407
male
47
173
71
27
102
40.5
15,928,920
male
30
181
77
25
97
41.1
13,009,475
female
37
171
63
23
95
40.7
12,674,899
female
41
147
49
2
87
38.2
19,965,962
female
20
159
53
21
99
40.6
14,273,223
male
38
193
90
10
98
40
15,516,309
male
21
177
75
9
85
39.3
18,318,625
male
26
174
72
28
110
40.8
18,481,239
female
21
173
71
21
104
40.6
14,122,672
female
78
156
59
4
77
38.8
13,362,434
female
44
173
66
16
86
40.3
11,806,334
male
34
166
70
10
95
39.9
13,199,773
male
61
183
85
21
102
40.5
16,390,887
female
43
178
76
11
93
39.3
10,039,189
female
53
166
54
17
101
40.2
19,956,865
male
41
176
81
12
85
40.3
13,542,305
male
29
186
89
18
97
40.4
16,504,606
male
47
185
86
22
98
40.6
13,181,159
female
26
147
48
14
101
40.2
12,691,149
female
78
181
79
29
104
40.7
14,885,108
female
62
149
49
26
104
40.8
13,130,611
male
64
174
80
23
99
40.7
14,824,646
female
20
147
47
12
97
39.9
13,370,882
male
74
212
123
25
103
40.8
19,742,206
male
52
161
69
11
84
40.1
15,118,439
male
67
195
107
17
105
40.3
19,284,090
female
28
167
66
3
87
38.5
13,474,809
male
35
183
89
19
96
40.3
14,272,897
male
30
175
78
22
100
40.3
11,864,100
female
35
169
69
21
99
40.5
15,755,027
female
55
146
49
20
92
40.2
18,436,826
female
35
152
52
5
83
38.8
15,161,029
male
30
178
83
27
110
40.6
15,549,096
male
25
185
80
18
108
40.2
18,139,772
male
25
194
89
2
84
38.1
11,755,425
female
21
158
61
12
89
40.1
14,619,862
male
40
201
109
3
87
38.4
11,833,012
male
32
195
93
20
102
40.8
17,542,901
female
71
158
62
3
78
38.4
15,914,742
female
44
164
60
23
105
40.8
12,478,835
female
54
149
49
7
84
39.6
13,997,828
female
46
171
74
8
95
39.6
11,924,900
male
47
185
92
2
94
38.1
18,611,365
female
23
179
76
13
99
39.9
10,520,370
female
22
155
54
19
103
40.3
11,110,826
male
58
183
83
3
85
38.4
17,263,080
male
35
196
96
28
112
41
13,567,779
male
22
175
81
19
94
40.4
18,876,349
female
33
160
59
10
90
39.9
12,057,594
male
59
166
70
17
90
40.2
10,343,017
male
51
171
79
27
107
40.9
12,688,040
female
34
170
70
9
89
39.4
18,002,893
male
30
170
76
19
101
40.5
15,008,106
male
54
196
105
16
85
40.5
19,491,748
male
52
193
98
18
105
40.3
15,301,388
female
67
166
65
20
103
40.6
15,536,214
male
21
176
75
17
88
40
16,577,673
female
24
180
69
23
96
40.6
18,638,809
male
70
186
87
20
93
40.7
10,890,361
female
58
173
71
2
74
38.2
10,274,402
female
43
160
54
6
87
39.3
15,150,878
female
25
167
60
5
88
39
15,772,512
female
56
157
60
16
95
40.3
17,633,170
male
72
196
92
25
110
40.5
15,794,287
male
53
185
83
14
102
40.3
19,612,729
female
30
154
55
1
86
37.5
14,229,654
female
36
162
58
10
95
40
19,619,939
female
46
196
85
25
102
40.7
17,831,849
female
56
162
63
7
87
39.3
18,215,203
male
40
203
108
17
94
40.4
12,108,301
male
55
179
85
23
108
40.6
12,998,236
female
73
156
60
5
85
39.1
12,293,751
male
46
194
101
2
80
38
16,233,622
male
52
193
96
29
108
40.9
19,784,594
female
57
166
64
3
83
38.7
18,506,699
female
28
151
56
6
82
39.2
14,489,692
female
44
152
50
22
115
40.8
14,767,857
female
49
171
65
10
95
39.8
12,826,845
male
62
177
78
25
111
40.8
16,654,981
female
40
159
60
9
86
39.6
10,323,475
male
44
177
77
13
95
40.2
12,053,403
female
68
179
77
8
89
40.1
14,157,184
female
25
163
64
7
97
39.7
18,789,275
female
61
165
67
29
104
41.1
18,612,405
male
26
190
96
2
79
38.1
16,605,012
female
62
166
68
15
96
40.3
11,347,077
male
54
175
81
6
83
39.3
18,300,790
male
65
200
103
27
95
40.8
17,111,581
male
37
173
81
3
82
38.8
12,468,284
male
42
189
97
18
102
40.3
12,017,182
female
21
167
59
8
88
39.4
12,150,043
male
39
182
81
24
92
40.5
19,443,162
female
78
156
61
20
102
40.4
16,391,615
male
45
194
97
12
99
39.9
19,392,699
male
25
166
70
5
85
39.4
12,652,194
female
50
161
57
23
111
40.5