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
18,760,910
female
32
177
76
26
106
40.6
19,360,607
male
72
191
97
29
116
41
17,924,677
male
26
189
87
26
104
40.7
13,096,111
male
30
178
86
22
101
40.8
16,203,156
female
20
167
63
27
113
40.7
13,339,749
female
50
165
68
27
105
41
17,731,293
male
39
177
77
7
88
39.4
10,352,816
female
32
173
68
4
84
39.2
10,931,663
female
25
167
61
17
105
40.2
18,350,013
female
41
177
71
27
111
40.7
12,910,830
male
33
188
87
9
85
39.8
12,824,366
female
35
160
57
26
109
40.7
11,726,136
female
33
175
70
20
99
40.4
10,562,393
female
54
157
51
2
74
38.1
13,981,425
male
44
195
103
2
89
38.2
14,132,117
female
49
181
71
12
88
40.1
10,181,065
female
22
178
68
23
100
40.8
12,649,958
male
77
173
71
21
105
40.5
10,068,396
female
34
173
69
22
104
40.7
18,471,125
female
36
157
60
11
89
40.2
18,503,283
female
78
165
65
28
105
40.8
12,352,451
female
41
148
54
16
101
40.5
10,611,827
male
30
187
91
18
96
40.1
14,427,823
male
45
172
75
28
109
40.9
14,584,962
male
62
200
111
19
101
40.4
18,702,539
male
25
186
90
1
84
37.9
11,997,648
male
22
166
64
14
98
40.2
16,374,857
male
35
171
77
30
108
40.9
18,786,778
male
75
185
88
20
96
40.3
17,662,178
male
29
185
86
21
101
40.7
12,055,629
female
54
146
52
4
82
38.4
16,666,826
male
29
184
89
12
87
40.5
11,051,208
female
29
175
72
20
100
40.5
15,797,697
female
39
166
68
14
94
40.3
17,203,920
male
39
189
89
22
101
40.3
18,401,983
female
59
167
66
29
112
41
11,675,167
female
72
168
66
13
96
40.1
12,127,647
male
20
177
77
2
90
38.6
16,487,611
female
40
147
44
23
91
40.7
18,264,457
female
42
171
68
20
95
40.5
16,415,104
male
63
167
67
24
100
40.7
11,434,889
male
27
184
92
2
85
37.9
11,160,389
male
21
187
83
19
101
40.5
12,041,582
female
36
157
63
24
108
40.8
19,521,579
female
25
163
54
5
86
39.2
12,749,952
male
30
189
89
15
91
40.3
10,785,521
male
23
170
74
16
104
40.1
13,418,169
male
27
170
66
11
80
39.8
18,910,818
female
64
150
47
22
101
40.8
17,013,961
female
51
164
67
11
91
40
12,874,776
female
23
156
53
20
98
40.6
17,640,693
male
46
196
101
16
95
40.3
11,277,633
male
34
184
78
19
97
40.5
19,432,168
female
43
161
59
4
75
39.7
13,210,970
male
77
177
85
5
80
38.8
17,148,586
male
22
182
86
4
88
38.9
12,147,068
male
76
173
82
25
114
41.1
19,927,444
female
69
169
67
30
113
40.8
17,683,034
female
37
161
60
26
99
41.1
14,493,432
male
33
177
75
11
95
40.1
18,850,923
male
28
185
84
11
91
39.7
14,937,021
male
41
195
101
19
113
40.8
11,123,367
female
20
167
67
3
84
38.6
10,424,043
male
79
196
103
6
92
39.3
16,356,048
female
24
188
83
6
80
39.3
12,139,431
female
69
161
59
24
105
40.8
16,737,364
male
37
183
89
8
79
39.4
18,191,249
female
37
169
63
7
87
39.5
15,301,574
male
22
185
80
28
99
41.2
10,180,496
female
36
157
56
12
82
39.7
11,757,958
female
25
163
65
7
91
39.3
14,482,281
female
38
157
54
27
109
40.5
13,539,130
female
22
155
61
9
91
39.8
16,195,775
male
23
193
83
7
83
39.2
14,616,526
female
29
159
64
17
97
40.2
17,469,173
female
65
148
48
26
106
40.6
16,491,998
female
32
170
68
6
81
39.5
10,945,237
female
22
179
70
4
81
38.8
19,849,872
male
55
189
97
8
91
39.4
16,415,077
male
50
184
94
11
85
40
11,795,524
female
38
168
61
13
87
40.1
16,568,971
male
38
200
104
13
86
40.1
16,310,914
male
24
192
92
27
105
40.7
18,121,420
male
22
181
86
26
104
40.6
14,402,513
female
36
179
73
14
88
40.1
18,549,764
female
58
151
52
28
109
41
16,748,419
female
23
176
68
18
107
40.4
15,651,585
female
32
174
70
24
100
40.6
19,657,581
female
75
161
60
16
84
40
18,352,324
male
37
175
77
20
86
40.5
10,820,174
male
31
183
92
18
89
40.3
17,544,745
female
79
167
67
24
93
41
19,673,423
female
38
158
58
23
94
40.3
19,141,471
female
70
177
78
5
84
39.1
16,686,123
female
60
155
56
25
110
40.8
19,585,157
female
67
170
74
6
85
39.2
13,969,920
female
22
153
53
3
82
38.5
16,692,715
female
51
166
71
27
110
40.9
19,230,601
female
22
167
65
26
99
41
11,248,695
male
42
193
97
5
80
39