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Sleep and Activity Statistics Collection
Mental Health & Wellness
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About
This dataset contains various statistics related to individuals' sleep habits and physical activities. It offers important indicators concerning overall health and quality of life. The data is entirely imaginary, created solely for educational purposes and user improvement, bearing no connection to real-world information.
Columns
- User ID: A unique identification number for each individual.
- Age: The age of the individual.
- Gender: The sex of the individual, indicated as 'f' for female and 'm' for male.
- Sleep Quality: The quality of an individual's sleep, measured on a scale from 1 to 10, where 10 represents the highest quality.
- Bedtime: The time an individual goes to bed, recorded in 24-hour format.
- Wake-up Time: The time an individual wakes up, recorded in 24-hour format.
- Daily Steps: The total number of steps taken by the individual per day.
- Calories Burned: The daily amount of calories burned by the individual.
- Physical Activity Level: The individual's level of physical activity, categorised as low, medium, or high.
- Dietary Habits: The individual's dietary habits, categorised as healthy, medium, or unhealthy.
- Sleep Disorders: Indicates whether the individual has any sleep disorders (yes/no).
- Medication Usage: Indicates whether the individual uses medication for sleep disorders (yes/no).
Distribution
The dataset is typically provided as a CSV file, named Health_Sleep_Statistics.csv, and has a file size of 5.5 kB. It contains 12 columns and consists of 100 records or rows.
Usage
This dataset is ideal for various analytical purposes, including studying the correlation between sleep patterns, physical activity, and overall health indicators. It can be utilised for educational research, developing health and wellness applications, or conducting behavioural studies related to lifestyle choices.
Coverage
The dataset focuses on individual demographic information including age, ranging from 22 to 50 years, and gender (male and female). While not geographically specific, the time range for sleep-related data appears to be concentrated around September 2024. It is important to note that the data is simulated and does not represent actual individuals or real-world scenarios.
License
CC0: Public Domain
Who Can Use It
This dataset is suitable for data analysts, researchers in health and wellness, students, and developers interested in exploring or building models based on lifestyle and health metrics. Potential use cases include academic studies on simulated health data, development of conceptual fitness trackers, or illustrative examples for data science education.
Dataset Name Suggestions
- Individual Health and Sleep Habits Data
- Sleep and Activity Statistics Collection
- Personal Wellness Metrics Dataset
- Daily Health & Lifestyle Data
- Simulated Health Indicator Dataset
Attributes
Original Data Source: Sleep and Activity Statistics Collection
QUALITY