Datasets:

aai530-group6
/

sleep-score-fitbit

timestamp stringlengths 20 20	overall_score int64 45 89	revitalization_score int64 45 89	deep_sleep_in_minutes int64 18 179	resting_heart_rate int64 55 70	restlessness float64 0.03 0.19
2023-11-18T07:59:00Z	83	83	104	63	0.0681
2023-11-17T09:14:00Z	87	87	114	63	0.053283
2023-11-16T06:01:30Z	84	84	99	64	0.051408
2023-11-15T05:23:00Z	81	81	73	65	0.046679
2023-11-14T05:54:30Z	76	76	64	65	0.076923
2023-11-13T05:58:00Z	66	66	60	64	0.082627
2023-11-12T08:29:30Z	89	89	156	65	0.058527
2023-11-11T07:28:30Z	76	76	108	63	0.03741
2023-11-10T09:18:30Z	86	86	147	62	0.056365
2023-11-09T05:50:00Z	69	69	75	62	0.070621
2023-11-07T08:30:00Z	79	79	83	64	0.067024
2023-11-06T04:30:00Z	61	61	42	62	0.039506
2023-11-05T08:33:00Z	75	75	114	62	0.047267
2023-11-04T07:05:30Z	84	84	104	62	0.053452
2023-11-03T05:54:00Z	72	72	72	62	0.067002
2023-11-02T08:43:30Z	84	84	127	61	0.066322
2023-10-31T08:53:00Z	83	83	142	57	0.070222
2023-10-30T05:48:30Z	75	75	94	56	0.04782
2023-10-29T08:20:30Z	81	81	33	57	0.05305
2023-10-28T07:48:30Z	78	78	91	58	0.056462
2023-10-27T08:50:30Z	58	58	28	58	0.094017
2023-10-26T08:50:30Z	82	82	110	59	0.076396
2023-10-25T08:32:00Z	78	78	96	59	0.05741
2023-10-24T09:07:30Z	82	82	72	59	0.08053
2023-10-23T09:24:00Z	76	76	53	61	0.045994
2023-10-22T11:08:30Z	86	86	76	64	0.05486
2023-10-21T07:50:00Z	77	77	85	62	0.056204
2023-10-20T05:47:30Z	73	73	58	62	0.082976
2023-10-19T08:32:30Z	80	80	105	63	0.063519
2023-10-17T07:44:30Z	83	83	72	63	0.050265
2023-10-16T07:37:30Z	80	80	80	64	0.056552
2023-10-15T11:43:30Z	87	87	161	65	0.100078
2023-10-14T07:51:00Z	83	83	95	65	0.042447
2023-10-13T08:07:00Z	79	79	87	67	0.070878
2023-10-12T07:18:00Z	73	73	75	68	0.067093
2023-10-11T08:59:30Z	81	81	123	65	0.077209
2023-10-10T08:25:00Z	82	82	119	64	0.059925
2023-10-09T08:59:30Z	87	87	117	64	0.051031
2023-10-08T07:12:00Z	70	70	37	64	0.061444
2023-10-07T07:45:30Z	84	84	124	63	0.063509
2023-10-06T08:14:30Z	86	86	107	63	0.03946
2023-10-04T07:40:00Z	76	76	106	61	0.074745
2023-10-02T08:58:00Z	85	85	131	58	0.058714
2023-10-01T07:47:30Z	74	74	67	60	0.10013
2023-09-30T07:52:30Z	81	81	79	62	0.061818
2023-09-29T11:17:00Z	88	88	179	63	0.044934
2023-09-28T07:38:30Z	80	80	88	64	0.058688
2023-09-27T09:46:00Z	84	84	115	63	0.049196
2023-09-25T08:01:30Z	70	70	41	63	0.052555
2023-09-24T08:17:00Z	77	77	125	60	0.060766
2023-09-23T09:43:00Z	80	80	116	60	0.064516
2023-09-22T05:55:00Z	74	74	71	60	0.057592
2023-09-21T05:53:30Z	71	71	75	60	0.069291
2023-09-20T09:25:00Z	88	88	116	60	0.04408
2023-09-19T06:02:00Z	67	67	76	60	0.104405
2023-09-18T08:19:00Z	77	77	78	60	0.055917
2023-09-17T09:36:30Z	66	66	48	60	0.107345
2023-09-16T09:29:00Z	83	83	152	60	0.059122
2023-09-15T05:57:30Z	73	73	60	60	0.06619
2023-09-14T08:49:00Z	81	81	126	59	0.107111
2023-09-13T05:59:30Z	77	77	62	59	0.073781
2023-09-12T05:13:00Z	70	70	70	58	0.044316
2023-09-11T06:13:30Z	65	65	60	58	0.092749
2023-09-09T08:18:30Z	81	81	101	58	0.054362
2023-09-07T09:17:00Z	87	87	106	59	0.039673
2023-09-06T09:17:30Z	88	88	99	60	0.074074
2023-09-05T05:56:30Z	76	76	66	61	0.074453
2023-09-04T08:24:00Z	81	81	130	63	0.107791
2023-09-03T09:26:30Z	82	82	105	60	0.066492
2023-09-01T09:14:30Z	85	85	82	62	0.087442
2023-08-30T08:50:30Z	77	77	74	63	0.070505
2023-08-28T05:54:30Z	76	76	81	63	0.061314
2023-08-27T09:30:30Z	81	81	73	64	0.067961
2023-08-25T09:07:00Z	80	80	65	63	0.094153
2023-08-24T05:57:00Z	77	77	98	64	0.03864
2023-08-23T08:51:30Z	82	82	136	63	0.071942
2023-08-22T04:45:30Z	64	64	59	62	0.042755
2023-08-21T05:56:30Z	72	72	96	60	0.059561
2023-08-20T08:50:30Z	86	86	119	61	0.046766
2023-08-17T06:02:30Z	77	77	102	61	0.085865
2023-08-16T05:53:30Z	67	67	67	61	0.060109
2023-08-15T05:54:30Z	73	73	104	59	0.077313
2023-08-14T05:54:00Z	72	72	74	62	0.067002
2023-08-13T09:59:30Z	81	81	127	63	0.109842
2023-08-12T03:22:30Z	56	56	23	61	0.04878
2023-08-11T05:53:30Z	70	70	69	60	0.036711
2023-08-10T05:47:00Z	78	78	93	61	0.038917
2023-08-09T08:25:30Z	85	85	124	61	0.080797
2023-08-08T05:52:30Z	66	66	89	59	0.102069
2023-08-07T05:45:30Z	65	65	87	59	0.103279
2023-08-06T09:16:30Z	85	85	108	59	0.057174
2023-08-05T11:00:00Z	84	84	133	61	0.113594
2023-08-04T09:03:30Z	83	83	124	62	0.083712
2023-08-03T06:02:00Z	60	60	34	63	0.071605
2023-08-02T05:58:00Z	67	67	92	61	0.082232
2023-08-01T05:57:30Z	70	70	80	61	0.078902
2023-07-30T09:04:00Z	84	84	121	61	0.076763
2023-07-29T08:53:30Z	82	82	96	64	0.047936
2023-07-28T06:01:00Z	75	75	86	64	0.059474
2023-07-27T05:59:30Z	81	81	99	64	0.068921

End of preview. Expand in Dataset Viewer.

Fitbit Sleep Score Data

About the Dataset

Description

The Fitbit Sleep Score dataset, available on Kaggle, comprises detailed sleep data sourced from an individual's Fitbit device. It includes metrics such as overall sleep score, revitalization score, deep sleep duration, resting heart rate, and restlessness, each timestamped for in-depth analysis.

Data Fields

timestamp: The specific date and time the sleep data was recorded.
overall_score: An aggregate score up to 100, reflecting sleep duration, quality, and restoration.
revitalization_score: A score indicating the rejuvenating quality of the sleep.
deep_sleep_in_minutes: The amount of deep sleep achieved during the session, in minutes.
resting_heart_rate: The average resting heart rate recorded during sleep.
restlessness: A measure indicating the level of restlessness experienced during sleep.

Collection Methodology

This dataset was collected using a Fitbit Versa 4 device, capturing sleep data from a consenting individual. The data was then extracted from the Fitbit platform for analysis.

License

This dataset is made available under the MIT License, encouraging wide use for both academic and commercial purposes.

Updates

The dataset is expected to be updated annually to incorporate new data and insights.

Usage

This dataset is ideal for researchers and practitioners interested in sleep studies, health monitoring, and the development of health and wellness technologies. It provides a foundational resource for understanding and improving sleep quality and its impact on overall health.

Author

Maria Balos

Additional Notes

This dataset reflects the sleep patterns of a single individual and should be considered as a case study rather than a broad population sample.
Users are encouraged to respect privacy and ethical considerations when using this data.

Downloads last month: 14

Edit dataset card

Size of downloaded dataset files:

15.3 kB

Size of the auto-converted Parquet files:

11 kB

Number of rows:

291