Difference between revisions of "Finding relations between variables in time series"
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==What is this tool and what can be done with it?== | ==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. | 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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| + | ==== [https://www.openhumans.org/activity/personal-data-notebooks/ Open Humans] ==== | ||
| + | Personal notebooks. [https://blog.openhumans.org/2021/05/17/file-upload-data-types/ File Uploader]. | ||
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| + | ==== [https://exist.io/ 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?”" | ||
{{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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Revision as of 18:45, 3 November 2021
Tool Infobox 
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| Related topics | |
Linked pages on this wiki |
Projects (0), |
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.
List
Open Humans
Personal notebooks. File Uploader.
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?”"
Linked content on this wiki
(The content in the table below is automatically created. See Template:Tool Queries for details. If newly linked pages do not appear here, click on "More" and "Refresh".)
| Projects that use this tool |
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| Self researchers who used this tool |
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| We talked about this tool in the following meetings |
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Users interested in this tool (add your name to the list below!)
DG