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
15,701,624
female
62
151
55
29
113
40.8
17,371,350
male
63
184
92
14
94
40.2
18,475,406
male
77
189
88
21
104
40.6
18,066,741
female
54
167
67
24
109
40.7
19,933,558
female
76
162
69
13
100
40
17,259,628
female
35
156
55
8
94
39.4
18,602,389
male
50
196
101
5
86
39.3
15,224,042
male
71
175
76
10
97
39.9
11,017,629
female
28
184
76
6
91
39.3
19,533,813
male
35
183
86
14
105
40.1
19,910,728
female
44
170
62
11
86
39.5
13,731,250
male
34
184
79
10
88
39.9
16,746,512
female
49
158
55
19
96
40.6
13,192,669
female
36
173
70
4
93
38.8
10,369,905
male
20
189
88
18
103
40.4
16,581,433
male
26
183
79
13
99
40.1
16,518,645
male
31
175
79
10
96
39.7
16,023,351
male
20
182
80
14
98
40.7
16,250,970
female
23
169
62
15
87
40.1
12,829,800
female
21
140
45
22
96
40.9
14,816,450
female
41
154
58
19
98
40.2
19,128,201
female
47
171
75
20
91
40.6
15,900,464
male
36
194
92
9
84
40.1
19,714,526
female
25
150
54
22
104
40.9
14,491,212
male
23
200
107
8
93
39.4
16,063,287
male
79
199
101
11
97
40.1
16,438,115
female
61
166
66
18
95
40.3
12,442,583
female
59
168
63
4
92
39
12,534,780
male
62
183
81
10
88
39.7
19,298,890
female
21
168
63
23
103
40.3
16,915,381
male
20
174
72
17
99
40.2
11,871,822
female
39
163
66
23
98
41
13,254,997
female
77
171
71
21
97
40.3
16,834,060
male
36
202
105
26
103
40.7
15,699,777
female
22
154
60
5
80
38.9
15,574,309
male
41
183
88
16
96
40.3
14,261,925
male
22
190
98
24
101
40.3
10,440,546
female
25
158
58
29
107
40.9
13,469,672
female
30
178
72
3
80
38.7
12,221,911
male
50
192
87
20
103
40.4
18,371,585
female
22
165
63
22
102
40.5
16,072,849
female
33
164
64
4
85
39.2
14,435,677
female
23
177
78
20
96
40.5
19,126,633
male
71
191
97
19
93
40.6
13,492,378
female
52
159
62
23
99
40.4
16,799,120
male
26
186
81
5
72
39.3
10,833,703
male
24
186
84
10
90
39.7
12,808,259
male
72
202
111
20
94
40.5
16,398,221
female
49
152
51
3
77
38.7
11,300,363
male
25
188
93
23
98
40.4
19,770,230
female
36
173
68
6
85
39.2
17,829,137
female
61
183
75
18
102
40.1
10,008,486
female
53
157
65
10
97
39.9
14,772,934
male
29
172
78
18
99
40.8
18,499,359
male
65
182
84
29
115
40.9
13,426,416
female
32
158
61
5
80
39.2
10,930,839
male
50
197
101
16
99
40.3
16,354,686
female
79
160
59
21
100
40.4
19,244,563
female
71
163
68
5
90
39.3
18,388,171
female
32
159
59
8
93
39.8
14,365,768
female
30
165
65
16
101
40.3
10,618,799
male
59
192
92
13
95
40.1
11,884,149
male
64
178
78
24
95
40.9
19,019,765
male
36
189
87
20
98
40.3
15,329,723
female
37
167
62
17
102
40.4
18,533,672
female
34
152
51
18
98
40.3
15,943,726
male
31
174
72
18
99
40.3
10,812,157
male
60
182
79
8
82
39.6
18,095,026
female
31
168
62
8
89
39.6
17,433,319
female
30
175
67
2
85
38.1
10,634,915
female
76
148
52
18
91
40.1
12,138,268
male
25
188
91
9
97
39.6
14,879,685
male
25
201
101
15
93
40
12,790,315
female
78
146
50
17
95
40.3
15,108,647
female
36
152
48
5
84
39.4
10,261,796
female
63
138
46
25
117
40.5
18,626,703
female
28
157
53
3
81
38.5
11,163,519
male
67
180
88
13
96
40
17,878,081
male
76
176
84
25
99
40.9
15,530,497
male
42
190
97
22
102
40.6
17,874,380
female
65
196
97
8
89
39.9
17,427,527
female
28
164
67
17
97
40.2
17,643,484
male
76
184
87
10
93
39.8
15,089,717
male
70
184
93
7
86
39.2
13,912,115
female
37
174
75
19
98
40.6
18,492,934
female
34
186
72
17
99
40.6
17,927,309
male
55
175
81
20
106
40.9
17,930,828
female
27
168
73
6
85
39.1
11,581,857
female
78
158
58
14
101
40.2
14,334,513
female
44
178
71
24
99
40.6
19,190,374
female
38
168
67
8
80
39.6
11,182,743
male
22
186
93
11
87
39.9
13,373,783
female
40
170
68
21
99
40.8
14,426,061
female
25
170
68
23
90
40.5
19,076,934
male
48
173
77
2
81
38
18,300,893
male
60
191
101
3
82
38.3
12,788,249
male
39
176
83
11
91
40.1
14,278,095
female
35
169
67
4
83
38.6
13,655,717
male
67
189
94
19
100
40.2
17,365,399
male
20
182
84
12
99
39.9