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Bellabeat Capstone Activity Data
Public Health & Epidemiology
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About
Fitness and activity data suitable for exploring patterns in personal health metrics and movement routines. The dataset covers core physical activities, sleep, and body composition measurements. It is particularly useful for modelling user behaviour and assessing the significance of different activity segments throughout the day.
Columns
The simplified data format includes key aggregated metrics, such as:
- time_of_day: Identifies four unique Segments across the day (100% valid), with Morning being the most common segment recorded.
- avg_steps: Records average steps, with a mean of 7.76k and values ranging from a minimum of 2.02k to a maximum of 12.5k.
- avg_intensities: Tracks average intensities, with a mean of 292 and a range between 99 and 458.
- avg_calories: Provides average calories burned, with a mean of 2.36k and values spanning from 1.27k to 2.96k.
Other underlying variables tracked in the original files relate to sleep (frequency, total time), activity (distance, active duration, idle duration), and body composition (weight, BMI, fat).
Distribution
This is tabular data, derived from summary files that have been condensed for easier analysis. The dataset is ideal for beginners and provides clear breakdowns of averaged metrics across distinct segments. The sample data used for description includes metrics aggregated into four total values.
Usage
The dataset is perfectly suited for exploratory data analysis projects. Ideal applications include:
- Identifying behavioural patterns and routines regarding exercise.
- Examining the relationship between daily activity levels, sleep habits, and body composition.
- Developing models that address individual health and wellbeing improvements.
- Serving as a foundational dataset for data analytics certificate capstone projects.
Coverage
The data is an open-source, secondary collection, with geographical relevance tagged specifically to Australia. While specific time range details are not available in this description, the data structure focuses on individual attributes and activities.
License
CC0: Public Domain
Who Can Use It
- Beginner Data Analysts: Those seeking easy-to-use tabular data for skill development.
- Health and Fitness Researchers: Individuals studying the relationship between measured fitness metrics and user behaviour.
- Students: Those completing projects focused on quantifying physical activity and lifestyle patterns, such as the Google Data Analytics Certificate.
Dataset Name Suggestions
- Bellabeat Capstone Activity Data
- User Fitness Summary Metrics
- Health Tracking Behavioural Data
- Public Domain Activity Log
Attributes
Original Data Source: Bellabeat Capstone Activity Data
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