This interactive dashboard allows you to explore daily physical activity, compare individuals, and investigate how steps, distance, activity intensity, and sedentary behaviour relate to calories burned.
The aim of this dashboard is to help you understand patterns in fitness data through visualisations.
The app focuses on activity trends, calorie relationships, and user-level differences in behaviour.
This dashboard is designed for users interested in fitness, health behaviour, and data-driven activity tracking.
It does not require technical knowledge and is intended to be easy to explore.
View headline statistics and overall activity patterns.
Filter by user, date range, and activity metric.
Investigate which activity variables relate most strongly to calories.
Use clustering to identify broad user activity profiles.
Some records contain zero steps or zero distance. These values were kept because they may represent inactive days, rest days, or missing tracking periods. Derived metrics such as calories per step were only calculated where division was valid.
The data is anonymised and does not include demographic information. Therefore, the dashboard focuses on recorded activity patterns rather than making fitness claims about individuals.
Overall, users averaged ~7200 steps and ~2200 calories a day. Sedentary minutes make up the largest part of the recorded day.
Saturday had the highest average steps (weekend, more free time for exercise), whilst Sunday had the lowest (generally considered a 'rest day').
Calories are most strongly related to total distance, total steps, and very active minutes. Sedentary minutes show very little relationship with calories.
The clusters suggest three general user types: lower activity users, moderate activity users, and high activity or high calorie users.