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Long-Term Personal Fitness Tracker Data
Patient Health Records & Digital Health
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About
Personal fitness data collected from a Xiaomi Mi Band offers a long-term view of daily physical activity and sleep patterns. This information, gathered continuously since 27 April 2016, spans over 2,450 days. It includes key metrics such as steps taken, distance covered, calories burned, and various sleep details. Additional data points, including heart rate, fat rate, and bone mass, are also available for shorter periods, providing a detailed look into personal health and activity trends over several years.
Columns
- date: The specific date of the data entry, from 27/04/2016 to 14/01/2023.
- steps: The total number of steps taken on that day.
- distance: The total distance covered in metres.
- runDistance: The distance covered while running in metres.
- calories: The number of calories burned.
Distribution
The data is available in CSV format. The primary steps dataset contains 2,454 days of records, covering the period from 27 April 2016 to 14 January 2023. The data quality is high, with very few missing entries; however, approximately 15 days of corrupted step data have been set to zero. A separate sleep dataset is also available but covers a slightly smaller number of days because the device does not record daytime sleep. The dataset is updated periodically, approximately every six months.
Usage
This data is ideal for longitudinal studies of personal health, time-series analysis of physical activity, and developing models to predict fitness trends. It can be used to explore the relationship between different activity metrics (like steps and calories burned) and sleep patterns over an extended period. Researchers can also analyse the impact of seasonality or life events on physical activity levels.
Coverage
The dataset covers a single individual's activity from 27 April 2016 to 14 January 2023. While core data like steps is available for the entire period, other metrics such as heart rate are only available from when the user upgraded to the 4th generation Mi Band. Occasional body measurements were also captured using a Mi Scale 2.
License
CC0: Public Domain
Who Can Use It
- Data Scientists and Analysts: For performing time-series analysis and building predictive models related to personal health.
- Health and Wellness Researchers: To study long-term trends in physical activity and sleep.
- Students and Academics: As a practical, real-world dataset for projects in data analysis, statistics, and health informatics.
- App Developers: To test applications related to fitness tracking and data visualisation.
Dataset Name Suggestions
- Long-Term Personal Fitness Tracker Data (Mi Band)
- Daily Activity & Sleep Data (2016-2023)
- Mi Band Fitness & Health Metrics
- Personal Activity Time-Series Data
Attributes
Original Data Source: Long-Term Personal Fitness Tracker Data
QUALITY