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
14,733,363
male
68
190
94
29
105
40.8
14,861,698
female
20
166
60
14
94
40.3
11,179,863
male
69
179
79
5
88
38.7
16,180,408
female
34
179
71
13
100
40.5
17,771,927
female
27
154
58
10
81
39.8
15,130,815
female
36
151
50
23
96
40.7
19,602,372
female
33
158
56
22
95
40.5
11,117,088
male
41
175
85
25
100
40.7
12,132,339
male
60
186
94
21
97
40.4
17,964,668
female
26
146
51
16
90
40.2
13,723,164
female
36
177
76
1
74
37.8
13,681,290
female
21
157
56
17
100
40
15,566,424
male
66
171
79
11
90
40
12,891,699
female
32
157
54
18
93
40.4
13,823,829
male
53
182
85
2
82
38.1
17,557,348
female
39
156
62
28
104
40.8
12,198,133
male
39
182
82
4
82
38.6
15,236,104
male
46
169
67
11
89
40.2
11,042,324
female
27
171
65
4
85
38.6
16,864,285
male
50
188
86
14
94
40.2
11,674,347
male
67
189
93
8
77
39.2
19,797,300
female
31
148
50
8
84
39.5
14,711,095
female
33
157
60
3
80
38.7
14,434,854
female
20
165
59
29
100
41
14,893,804
male
48
182
85
1
80
37.7
17,231,597
male
29
176
75
10
83
39.7
10,901,446
male
33
173
73
7
78
39.3
15,874,362
male
42
190
88
3
83
38.9
15,569,252
female
62
159
59
29
106
41.2
15,615,743
male
38
171
75
2
81
38.2
13,363,046
male
20
183
88
16
97
40.5
17,572,853
female
25
160
59
24
102
40.3
17,157,339
female
24
165
59
18
91
40.2
18,328,111
female
42
165
68
22
93
40.8
19,303,479
male
22
182
84
29
114
41
10,699,201
female
74
158
59
10
93
39.6
15,283,313
female
70
154
59
10
88
40
16,324,247
female
26
182
80
21
96
40.5
14,277,710
male
44
184
86
25
114
40.8
10,888,188
male
61
183
86
1
81
38.3
13,379,795
female
68
157
57
13
92
40.1
17,181,524
female
61
176
70
20
104
40.5
15,988,442
male
63
179
80
25
108
40.8
19,538,533
female
54
171
66
20
98
40.1
14,591,877
female
54
169
66
3
80
38.9
14,274,480
female
47
155
55
16
93
40.5
16,818,429
male
33
184
86
8
86
39.9
17,476,522
female
24
171
66
24
105
40.6
16,369,885
male
24
195
98
20
96
40.6
17,816,292
male
48
152
59
2
79
38
15,995,398
male
35
193
93
10
83
39.7
17,615,432
male
21
168
71
3
78
38.5
10,146,087
female
21
179
73
9
90
39.6
17,967,445
female
22
158
62
25
105
40.6
19,670,291
female
69
174
69
2
80
38.1
10,580,576
male
53
191
101
21
106
40.7
15,854,213
female
68
155
58
15
100
40.3
11,138,472
female
69
164
65
23
113
40.4
18,276,801
male
28
198
101
19
95
40.6
13,823,902
male
70
188
89
7
82
39.3
19,222,133
female
36
170
64
9
84
39.6
13,231,909
female
77
177
80
16
98
40.6
12,726,617
female
32
167
63
9
99
39.7
12,538,968
female
62
185
77
13
84
40.4
10,941,668
female
64
151
56
20
97
40.4
12,628,985
male
45
175
79
27
104
40.6
17,691,320
male
45
158
61
20
97
40.7
17,822,027
female
22
177
71
10
93
39.8
13,777,657
male
45
169
69
22
113
40.6
19,423,359
female
66
174
69
28
111
40.9
14,701,930
male
31
182
83
20
101
40.9
11,513,205
female
57
163
68
29
109
40.7
11,842,710
male
53
192
93
5
90
39.1
12,576,313
female
22
179
67
8
77
39.5
12,367,125
male
67
192
92
24
108
40.7
16,913,504
female
27
168
64
2
76
38.2
19,439,155
male
57
178
83
2
79
38.1
16,137,644
female
49
168
68
20
99
40.6
11,622,081
female
39
168
63
29
108
40.7
17,374,074
male
47
165
72
20
96
40.3
19,096,890
male
62
197
101
17
103
40.3
19,628,507
male
41
187
89
23
99
40.7
16,918,679
female
34
144
50
7
83
39.3
11,194,130
female
40
163
62
27
111
41.2
18,863,486
female
55
155
57
11
92
39.8
11,754,581
male
44
189
88
13
94
40
15,161,631
female
45
160
60
16
99
40.4
18,735,761
female
49
164
64
19
105
40.4
15,878,611
female
46
166
68
12
101
40.1
19,249,559
male
25
202
100
9
94
39.8
15,469,030
male
68
171
80
22
95
40.5
11,157,560
female
25
169
64
14
101
40.2
19,576,971
female
31
174
67
9
93
39.5
15,048,071
male
57
184
91
7
95
39.2
18,707,469
female
27
159
59
14
88
39.9
12,598,637
male
40
201
98
24
110
40.7
14,342,169
female
57
171
74
2
73
38.6
19,208,771
female
23
155
62
5
74
39.2
11,790,318
male
23
189
87
23
110
40
11,756,583
male
43
183
88
26
107
40.7