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
15,347,688
female
50
174
68
17
93
40.2
16,783,172
female
40
152
52
22
99
40.8
12,385,029
female
35
163
62
18
100
40.1
16,555,051
female
62
178
74
5
96
38.6
10,371,202
female
52
156
54
28
114
40.7
13,257,082
female
39
164
60
29
110
40.8
15,434,419
female
40
149
54
20
104
40.3
15,005,938
female
45
153
56
23
98
40.3
13,111,271
male
40
178
88
10
91
39.9
19,210,038
female
62
158
55
10
79
40
13,212,378
female
43
167
71
19
97
40.4
16,883,690
female
50
158
55
24
105
40.7
15,890,999
male
29
195
87
3
90
38.4
16,749,422
male
34
185
84
20
93
40.4
11,730,117
female
56
155
55
21
109
40.4
17,728,658
female
24
184
78
6
83
39.4
10,079,483
male
46
183
81
8
86
39.5
14,170,566
male
38
172
73
10
91
40.1
10,624,444
female
52
179
80
8
82
39.8
13,333,615
male
31
178
80
11
95
39.6
13,439,969
male
25
172
79
15
93
40.1
18,702,639
male
29
184
86
3
78
38.7
17,651,971
male
69
186
83
16
91
40.4
15,869,702
male
49
177
88
19
101
40.8
19,961,937
male
38
189
93
13
90
39.8
12,568,395
female
34
181
74
25
112
40.7
19,511,198
male
53
202
103
22
97
40.3
10,114,498
male
58
189
96
27
107
40.8
19,249,208
female
21
161
60
19
101
40.3
12,917,144
male
35
198
99
10
101
40.1
18,682,768
female
76
179
81
28
115
40.6
14,149,846
male
57
181
76
13
92
39.8
13,338,635
male
37
185
92
3
87
38.2
17,170,781
male
53
189
95
22
100
40.6
16,896,442
female
60
183
73
12
93
39.8
18,575,341
male
37
185
84
26
105
40.5
12,334,432
female
22
146
50
22
108
40.5
11,842,772
female
20
158
57
21
110
40.2
13,423,485
female
22
151
55
8
82
39.6
17,522,821
male
39
192
95
25
99
41.3
15,322,937
female
27
182
82
19
100
40.3
15,556,930
male
23
195
98
2
87
37.9
19,998,603
male
50
182
81
19
100
40.7
16,066,927
female
34
154
50
26
107
41.1
11,164,906
male
23
195
85
5
87
39
17,316,287
female
73
159
59
10
94
39.9
14,238,080
male
63
188
94
19
91
40.3
14,729,085
female
35
182
74
27
101
41.1
14,673,972
male
66
204
107
13
89
40
17,414,734
male
48
188
92
4
85
39.1
13,842,971
male
39
171
78
19
94
40.7
15,188,717
female
26
164
57
27
107
40.8
17,267,779
female
54
157
61
30
108
40.5
19,464,394
female
51
153
56
27
102
40.8
19,204,964
male
28
174
81
14
95
40.1
15,991,491
male
31
171
72
20
99
40.4
11,334,927
female
45
147
48
3
80
38.3
12,625,925
female
23
146
53
2
84
37.8
18,130,812
male
63
184
86
6
86
39.1
17,071,722
female
57
164
64
27
108
41.1
17,630,425
female
65
169
72
7
94
39.6
14,818,130
male
53
194
102
18
97
39.9
10,816,060
male
77
174
77
22
108
40.9
17,560,088
male
20
177
78
15
99
40.4
16,575,876
male
35
176
73
25
99
40.8
13,963,565
male
63
180
82
7
94
39.7
19,795,268
female
25
154
57
26
100
40.9
14,535,709
female
21
166
60
17
96
40
11,562,304
male
36
175
74
2
82
38.1
17,766,510
female
30
172
68
28
107
40.8
17,722,402
female
57
164
58
6
81
38.9
19,606,143
male
76
182
82
10
92
39.7
12,242,759
male
39
184
89
7
90
39.5
15,635,492
female
53
161
56
25
109
40.5
18,052,201
male
49
170
70
4
87
39.1
12,027,768
female
33
162
59
1
84
37.9
10,863,418
male
35
197
97
29
105
40.8
12,405,425
male
20
183
83
5
87
39.4
10,285,749
male
51
206
112
25
103
40.5
15,418,318
male
36
193
92
19
92
40.5
15,692,822
female
24
170
64
8
90
39.6
13,878,806
female
33
177
73
12
97
40.3
10,794,801
female
64
166
69
15
98
40.6
16,637,487
male
36
183
84
13
89
40.1
10,825,501
male
71
181
91
6
94
39.1
11,351,949
female
31
174
70
7
88
39.5
13,065,158
male
36
186
84
19
97
40.5
13,950,642
male
24
193
90
29
104
40.9
18,991,649
male
31
188
84
18
106
40.4
14,389,903
male
33
183
81
20
90
40.3
17,497,470
male
71
179
84
11
89
39.9
11,344,652
female
27
166
65
10
88
39.7
16,085,106
female
32
153
54
8
92
39.8
11,793,912
male
45
184
85
10
90
39.8
11,684,834
female
22
179
73
26
110
40.7
12,511,172
female
72
186
89
24
100
40.9
17,212,233
male
34
177
78
29
115
40.7
16,014,653
male
42
183
77
7
93
39.8
14,119,028
male
21
184
79
22
110
40.8
16,626,896
female
53
164
62
27
110
40.8