Australian Activity Patterns

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National Fitness Story

Data Source: Australian Bureau of Statistics
Analysis: Daily step patterns across Australian cities
Period: January - March 2024

This dashboard explores how weather, location, and weekly rhythms influence physical activity levels, revealing insights for public health planning.

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City Comparison

Weekly Patterns

Key Insights

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Performance Summary

National Average: 7502 steps

Goal Achievement: 43.3%

Most Active City: Melbourne

Activity Consistency: 35.2%

Weather Impact

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Data Story & Recommendations

Key Findings: - City Variations: Melbourne shows highest activity - Weather Sensitivity: Optimal activity between 15-25°C - Weekly Patterns: Weekend activity peaks across cities - Goal Performance: 43.3% meet daily steps

Public Health Insights: 1. Develop weather-protected activity spaces 2. Target inactivity during temperature extremes
3. City-specific initiatives based on local patterns 4. Weekday interventions to boost consistency

Data & Methods

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Technical Details

Data Sources: - Australian Bureau of Statistics - National Health Survey - Reference: https://www.abs.gov.au/statistics/health/health-conditions-and-risks/national-health-survey

Methodology: - Data simulation based on ABS published patterns - Multi-city comparative analysis - Weather correlation studies

Tools: R, Flexdashboard, ggplot2, dplyr

Dashboard designed for 1080p display - no scrolling required