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Finding relations between variables in time series (edit)
Revision as of 20:34, 9 April 2024
, 9 April→List of less technical tools
==== Sonar [https://www.sonarhealth.co sonarhealth.co] ====
==== Sonar [https://www.sonarhealth.co sonarhealth.co] ====
Customizable aggregation and syncing like weigh fitbit twice as much as apple watch or average steps instead of sum.
Customizable aggregation and syncing like weigh fitbit twice as much as apple watch or average steps instead of sum.
====== tunum.health ======
pearson correlation, trend analysis and manual dichotomization
[[Gyroscope]]
[[Gyroscope]]
Export from Apple Health<ref>github.com/Lybron/health-auto-export</ref> (no analysis)
Export from Apple Health<ref>github.com/Lybron/health-auto-export</ref> (no analysis)
ConnectorDB DIY OS no analysis
Heedy DIY OS no analysis
Zapier, Integromat, IFTTT, DIY no analysis
== List of very technical tools ==
== List of very technical tools ==
Build up. What if it takes two days of eating pizza to cause heartburn?
Build up. What if it takes two days of eating pizza to cause heartburn?
Rate of change. Trend. Opposite of build up; derivative instead of integral. Stopping or starting an all pizza diet causes heartburn.
Bin. Window. Smooth. Variables only make domain sense as aggregate over some time. Variables have a really high sampling rate.
Bin. Window. Smooth. Variables only make domain sense as aggregate over some time. Variables have a really high sampling rate.
Cycles decomposition using a model like ARIMA. Ex. kayak season is in the summer or lunch is at exactly 1pm.
Cycles decomposition using a model like ARIMA. Ex. kayak season is in the summer or lunch is at exactly 1pm.
Detection of repeated shapes implying similar events that are not cyclical; like dinner is anywhere between 4pm and 10pm and causes a particular 2 hour spike in glucose.
Detection of repeated shapes implying similar events that are not cyclical; like dinner is anywhere between 4pm and 10pm and causes a particular 2 hour spike in glucose.
== References ==
== References ==
[[Category:Data analysis]]
[[Category:Data analysis]]