Chart standing · US
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This & That find correlations in your Health data to help you gain a deeper understanding. - Finds correlations between almost all Health app data types, including: - Exercise and activity - Dietary types (both macro and micro nutrients) - Body measurements and vital signs - Tracked symptoms - Reproductive health - Meditation and sleep stages - Environmental sound and headphone exposure - Daily weather (temperature, humidity, precipitation, etc) - Calculates and displays statistically appropriate information such as correlation coefficients, confidence intervals, and p-values. - Calculates cross correlations, lagged correlations for up to 60 days before and after, and also Granger causality. - Provides correlation analyses in layman's terms to make the statistical data accessible and understandable. Note: All app functionality requires an active free trial, active subscription, or Lifetime purchase.
What's new · 2.1
**Count missing days as zero** For sometimes-activities like cycling, workouts, or medications, days with no data were previously left out of correlation calculations entirely. That biased results toward days when the activity happened. You can now choose, per data type, to count missing days as zero days instead. Only days where your other recorded data shows your devices were active get counted, so truly unknown days stay unknown. Expect much larger sample sizes, tighter confidence intervals, new causality results, and the disappearance of some "perfect" correlations that were never real. Look for the new Missing days section on correlation views, or the toggle in each data type's filter settings. **Also in this update** Fixed help buttons in the filter view dismissing on first tap. The lag range menu now stays open while you toggle multiple ranges. Faster, more responsive setting toggles.
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