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 relations between variables. For example does eating chocolate improves focus? Some people do this by themselves, using R and Python, in notebooks or apps, here on open humans, kaggle and github. This requires technical skills, though its easier on OH. For everyone else there are apps that can do it all automatically.
List of non technical tools
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?”"
Blog post of interactive analysis of their data with surprising results. I think they allow using their app.
"Automatic data analysis
searches for hidden patterns.
Our statistical algorithm runs each time you upload new data, searching for underlying relationships in your activity, sleep, weight, and other habits.
Scatterplots Sampling periods Linear regression Impact scores
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"automatic correlation mining"
List of very technical tools
Users interested in this tool (add your name to the list below!)
DG
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