An interactive tool for analyzing time-series observational data.
Scroll to zoom, click and drag to pan the chart.
Simulate a realistic, event-driven timeline for four correlated metrics with dynamic volatility. Each generation is unique.
Trigger a flag when one or more individual scores drop significantly compared to their recent past.
How many scores must drop to flag.
Weeks to average for baseline.
Min. drop for a single score.
Uses linear regression to find periods with a consistent downward trend, even with minor weekly upticks.
The number of weeks to analyze for a trend.
Steepness of decline to flag (e.g., -0.2).
Highlight periods where the metrics are not correlated, suggesting different factors may be influencing each aspect of well-being.
Number of weeks to analyze.
Max. average correlation to highlight (0.0 to 1.0).
Plot a rolling average of the combined weekly score to smooth out fluctuations and identify the overall trend.
Set to 1 to disable.
| Week | Happiness | Activity | Independence | Social | Overall Observation |
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