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
18,908,334
male
78
177
86
23
100
40.8
17,029,728
female
31
169
69
1
74
37.6
10,082,523
male
74
205
112
6
83
39
15,505,673
female
50
177
70
22
106
40.9
12,679,497
female
40
160
70
8
88
40
17,438,788
male
41
172
75
8
88
39.7
19,382,988
female
26
161
54
13
94
40.3
13,632,419
male
25
185
89
27
104
40.8
12,432,246
male
31
184
89
15
105
39.9
19,984,594
male
20
186
90
4
83
38.8
14,768,524
female
55
176
72
5
84
39.3
18,107,311
female
52
160
59
25
103
40.7
11,102,823
male
60
208
105
26
110
40.6
11,337,714
male
36
191
93
16
97
40
15,422,663
female
53
168
69
11
89
40
10,201,123
male
36
193
95
10
97
40
10,310,404
female
23
169
68
25
114
40.9
17,001,911
female
36
164
57
2
79
37.9
13,586,767
female
37
166
61
25
103
40.7
11,312,954
male
48
181
80
27
105
40.6
19,873,304
female
39
167
71
27
118
41.1
10,331,021
male
21
205
103
7
88
39.6
10,566,369
male
20
187
86
23
100
40.3
19,286,727
male
57
169
72
8
84
39.7
19,845,852
female
77
160
66
15
94
40.5
18,971,121
male
34
184
85
19
109
40.4
16,784,301
male
52
189
92
23
97
40.7
15,158,798
male
70
194
91
28
103
40.8
12,730,658
female
64
157
54
12
95
40.1
16,649,627
male
73
198
101
18
97
40.7
16,205,668
male
47
195
99
11
88
39.8
15,013,894
female
39
164
65
5
84
39.2
12,286,808
female
25
163
60
7
89
39.4
10,485,469
male
22
165
67
27
119
40.4
13,340,241
male
67
173
78
4
95
38.7
14,093,741
female
64
164
67
13
94
40.2
11,983,925
male
37
200
100
12
91
40.1
11,222,672
male
21
184
78
19
100
40.5
17,862,213
male
40
190
97
7
83
39.5
18,184,462
female
36
174
68
19
108
40.1
14,919,629
female
53
178
77
11
95
39.9
17,551,112
male
41
192
99
22
98
40.5
17,567,644
male
56
184
88
5
89
39.5
17,752,929
female
29
166
65
11
84
40
18,452,221
male
28
192
92
7
92
39.5
15,176,055
male
22
191
88
10
90
39.7
10,836,299
male
76
195
93
23
96
40.5
14,734,299
male
73
175
76
4
86
38.9
10,567,350
male
39
191
86
23
97
40.6
13,304,804
female
69
162
59
11
95
39.6
10,638,410
female
46
180
75
12
93
40.1
13,464,795
female
30
163
58
30
115
40.6
13,693,397
female
35
168
67
17
101
40.1
14,347,203
female
60
176
71
24
107
41
13,541,948
female
35
150
50
25
104
41
12,431,875
male
26
182
84
5
81
39.1
18,290,984
male
21
183
83
23
104
40.5
15,699,085
female
27
158
57
22
101
40.4
17,286,230
female
47
172
69
21
97
40.6
12,037,170
female
27
183
79
3
80
38.9
15,295,331
male
49
181
79
29
108
40.7
13,302,612
male
27
178
83
19
102
41
14,255,616
male
46
194
91
14
91
40
12,824,130
male
58
197
98
14
102
40.1
12,481,603
male
27
172
77
13
101
39.9
17,977,871
male
29
176
76
13
91
39.8
10,164,017
male
39
197
96
3
78
38.6
13,155,595
female
56
160
63
4
84
38.7
11,627,255
male
32
183
83
21
97
40.4
12,530,320
female
43
169
67
5
80
39
14,132,143
male
21
202
98
21
108
40.5
14,940,695
female
76
175
72
10
97
39.8
17,806,572
female
22
162
59
15
104
40
14,971,780
male
35
200
99
24
104
40.6
16,691,239
male
45
191
95
28
105
41
15,563,989
male
32
176
83
10
99
39.7
10,679,574
male
39
178
80
25
105
40.7
10,176,870
female
44
174
75
27
105
40.8
19,455,108
female
26
174
67
6
84
39.4
18,145,627
female
42
179
72
17
98
40.1
13,361,025
female
24
178
78
2
93
38.2
19,596,964
male
56
186
93
14
91
40
18,120,047
male
71
185
96
5
85
39.1
19,554,783
female
37
187
84
11
99
39.9
17,873,138
female
47
162
63
10
81
39.9
12,940,540
male
48
167
67
29
112
40.9
12,338,218
male
52
183
86
11
87
40
11,860,761
male
40
192
98
24
99
40.4
16,221,860
female
66
180
75
4
88
38.9
14,662,956
female
37
157
59
16
94
40.2
15,359,537
male
28
193
93
17
94
40.4
19,371,363
female
59
148
51
10
93
39.7
16,364,264
male
24
182
78
28
105
40.8
15,285,889
female
67
162
62
26
93
40.7
11,844,111
male
33
192
98
10
97
39.8
10,907,293
male
34
192
99
15
97
40.1
12,870,966
male
40
181
84
17
99
40.4
17,244,789
male
22
193
85
28
116
41
11,185,950
male
66
164
75
27
114
40.7
15,381,308
male
42
182
82
19
103
40.2