Finding relations between variables in time series

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What is this tool and what can be done with it?

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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Open Humans

Personal notebooks. File Uploader.

Zenobase

Correlation tested based on user specified question. User must configure lag, regression method and aggregation method using a UI. Powerful filtering tools too.

Exist.io

From Exist.io main site :"Which habits go together? Correlations are the most powerful part of Exist. By combining your data, we can answer questions like: “What makes me happiest?” “What can I do to be more active?” “When am I most productive?”"

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