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
16,830,440
female
38
163
62
16
93
39.8
14,418,662
male
66
198
97
10
85
39.8
17,701,052
female
25
164
59
5
97
39.6
18,517,477
male
20
193
89
20
94
40.1
17,620,582
female
57
161
61
15
95
40.3
18,320,012
female
78
158
55
13
104
39.6
17,298,482
male
45
182
87
15
90
40
16,703,891
male
49
196
100
22
99
40.6
17,062,108
male
45
181
82
14
86
40.1
13,722,630
female
26
168
59
13
90
39.9
19,463,882
male
45
171
73
19
105
40.2
17,755,538
male
41
176
77
25
99
40.7
10,783,420
female
58
170
68
25
111
40.9
18,427,134
male
24
178
83
30
117
41.1
11,967,118
female
78
180
77
4
83
38.6
19,699,891
male
53
179
83
26
106
40.8
17,671,943
female
25
166
61
15
104
40.2
17,434,752
female
74
151
50
25
109
40.2
15,524,010
female
44
160
57
22
107
40.6
15,219,259
male
37
186
91
9
89
39.1
11,523,602
female
32
180
75
7
92
39
16,257,963
male
44
198
98
28
106
40.8
11,615,919
male
46
185
87
2
84
38.7
13,028,550
female
29
155
54
11
84
40.1
11,330,250
female
50
166
65
4
86
39
14,172,118
female
30
167
72
12
95
40.4
15,336,635
female
44
162
62
8
95
39.6
16,406,947
male
70
193
97
25
109
40.9
11,850,069
male
22
177
79
16
91
40.4
14,814,005
female
24
158
56
26
100
40.9
19,629,600
female
65
187
79
28
108
40.7
10,205,621
male
26
191
98
11
101
40
13,196,720
male
44
175
74
1
74
37.9
13,526,128
male
69
175
82
11
92
40.1
18,338,416
female
45
160
56
24
102
40.6
14,708,248
male
37
184
84
28
110
40.9
15,403,055
female
50
155
58
24
104
40.6
16,654,122
male
48
169
77
27
109
40.6
13,264,975
female
22
182
74
24
107
40.7
15,180,504
male
27
182
79
3
89
38.9
18,271,283
female
68
168
66
26
102
41.1
13,168,765
female
79
159
63
25
104
40.7
14,527,515
female
64
182
74
3
87
38.7
13,618,957
female
29
169
70
16
99
40.2
19,299,473
male
79
194
101
14
90
40
18,115,792
female
30
157
58
7
94
39.2
13,719,438
female
37
169
69
24
106
40.6
13,127,106
female
48
143
50
27
100
41
15,400,420
female
26
163
61
11
85
39.9
13,065,291
male
70
150
59
1
80
37.9
15,984,289
female
23
168
66
7
91
39.6
10,400,272
female
50
167
62
9
85
39.6
17,141,398
female
40
154
61
19
96
40.7
10,857,913
male
22
202
100
2
81
38
11,824,402
female
76
155
59
9
89
39.9
11,427,044
female
23
167
62
23
96
40.5
19,198,039
male
31
208
104
3
83
38.7
11,462,364
male
20
184
85
17
90
40.7
17,729,429
male
25
183
78
3
83
38.9
19,417,320
female
67
164
65
21
105
40.6
10,822,033
female
59
179
77
13
97
39.8
12,865,640
male
28
171
76
15
94
40.5
13,940,888
male
20
179
79
13
88
40.1
12,674,720
female
39
140
48
19
92
40.6
17,622,047
female
24
165
65
6
94
39.5
19,101,102
male
73
180
88
8
75
39.3
16,869,558
male
51
184
85
8
87
39.7
11,867,128
female
78
167
72
23
105
40.5
17,037,847
female
22
157
59
24
101
41.1
14,808,567
female
45
171
66
22
100
40.7
11,953,536
male
26
179
81
26
103
40.5
12,083,737
female
21
173
69
22
106
40.3
14,110,544
female
55
163
64
17
102
39.9
16,038,370
female
75
158
59
29
107
40.8
16,046,426
male
34
189
94
23
99
40.7
13,321,355
male
33
196
92
6
91
39.2
14,361,041
female
35
182
78
23
100
40.6
17,112,563
female
55
166
67
21
97
40.7
19,202,715
female
48
170
64
17
99
40.3
11,354,346
female
24
151
49
11
96
39.8
10,765,476
male
74
194
97
6
94
39.2
18,418,503
male
49
191
96
4
86
38.8
10,458,941
female
32
176
71
20
94
40.6
17,044,150
male
68
192
97
24
98
40.5
18,904,436
female
54
147
47
29
113
40.4
11,199,394
male
22
161
67
28
110
40.7
16,154,875
female
28
174
69
2
75
38.2
13,123,907
male
25
182
85
5
95
38.7
17,303,607
female
21
158
59
19
95
40.6
11,818,306
male
52
183
87
9
94
39.5
19,475,629
male
78
187
96
29
103
40.6
17,718,288
male
27
187
85
17
92
40.4
11,708,118
male
20
193
86
20
92
40.3
19,419,327
male
29
174
73
16
96
40.5
19,161,845
male
25
188
88
26
110
41.1
16,423,930
female
33
140
48
24
114
40.5
10,227,445
female
55
170
69
14
104
40.3
19,636,218
female
40
148
53
9
87
39.6
19,194,825
female
60
142
52
3
82
38.5
16,147,342
female
74
160
58
22
99
40.4