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Lets say you have lots of data, its parsed, cleaned, all in one place, and visualized. Next step is to find out relations between variables, for example chocolate improves focus, using an analysis app or script. Some people do this themselves using R and Python in notebooks like here on open humans and github. Often that requires technical skills, though its easier on OH. For everyone else there are apps that can do it all automatically.  
 
Lets say you have lots of data, its parsed, cleaned, all in one place, and visualized. Next step is to find out relations between variables, for example chocolate improves focus, using an analysis app or script. Some people do this themselves using R and Python in notebooks like here on open humans and github. Often that requires technical skills, though its easier on OH. For everyone else there are apps that can do it all automatically.  
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== List ==
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== List of non technical tools ==
    
==== [https://www.openhumans.org/activity/personal-data-notebooks/ Open Humans] ====
 
==== [https://www.openhumans.org/activity/personal-data-notebooks/ Open Humans] ====
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“When am I most productive?”"
 
“When am I most productive?”"
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==== [https://habitdash.com/ Habitdash] ====
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"Automatic data analysis
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searches for hidden patterns.
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Our statistical algorithm runs each time you upload new data, searching for underlying relationships in your activity, sleep, weight, and other habits.
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Scatterplots Sampling periods Linear regression Impact scores
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"
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== List of very technical tools ==
 
{{Tool Queries}}
 
{{Tool Queries}}
 
===Users interested in this tool (add your name to the list below!)===
 
===Users interested in this tool (add your name to the list below!)===
 
DG
 
DG
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