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{{Tool Infobox}}
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{{Stub}}{{Topic Infobox}}
 
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'''Tool adaptation for developers''' provide ways for developers to expand existing self-research tools, e.g. through expanding existing tools or integrating different software or hardware devices.
 
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https://datavizcatalogue.com/index.html Suggests charts based on needs and has a list to peruse.
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https://old.reddit.com/r/QuantifiedSelf/search/?q=XPOST&include_over_18=on&restrict_sr=on&t=all&sort=top popular QS viz off dataisbeautiful
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https://cran.r-project.org/web/packages/ggraptR/vignettes/ggraptR.html interactively design viz or explore your data.
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interactive, specifically for time series https://paulvanderlaken.com/2017/08/10/r-resources-cheatsheets-tutorials-books/#advanced http://rstudio.github.io/dygraphs/ https://daattali.com/shiny/timevis-demo/
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https://awesome.cube.dev/ lots of viz tools
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https://annofoneblog.wordpress.com/2021/11/09/finding-patterns-in-my-days-a-visual-exploration-of-my-oura-data%ef%bf%bc/ nice viz
      
https://old.reddit.com/r/WearOS/wiki/index https://old.reddit.com/r/AndroidWear/ modify the underlying operating system of wearables.
 
https://old.reddit.com/r/WearOS/wiki/index https://old.reddit.com/r/AndroidWear/ modify the underlying operating system of wearables.
    
https://old.reddit.com/r/homeassistant/top/ home gadget help
 
https://old.reddit.com/r/homeassistant/top/ home gadget help
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<nowiki>https://orange3-timeseries.readthedocs.io/en/latest/</nowiki> python viz programming
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https://biomindmap.com/nodes/620 what affects what
      
https://github.com/ran88dom99/QS-data-flow-network-graph data accessibility and directories and standards  
 
https://github.com/ran88dom99/QS-data-flow-network-graph data accessibility and directories and standards  
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biohackstack.com list a user's tools and interventions
      
https://old.reddit.com/r/QuantifiedSelf/comments/fuagyz/start_here_directories_of_qs_resources/ A directory of directories. someplace to find more apps, devices and more. also https://tryterra.co/
 
https://old.reddit.com/r/QuantifiedSelf/comments/fuagyz/start_here_directories_of_qs_resources/ A directory of directories. someplace to find more apps, devices and more. also https://tryterra.co/
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http://media.nips.cc/Conferences/2013/Video/Oral1.pdf Old but some of the structure and transforms of data interesting. Even some analysis.   
 
http://media.nips.cc/Conferences/2013/Video/Oral1.pdf Old but some of the structure and transforms of data interesting. Even some analysis.   
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https://old.reddit.com/r/QuantifiedSelf/comments/en2580/exhaustive_list_of_things_to_trackmeasure/ Decent list of all the things that could be tracked. 
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==OS aggregations to borrow integrations==
 
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https://correlaid.org/en/ where to headhunt data scientists 
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== OS aggregations to borrow integrations ==
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https://github.com/Freeyourgadget/Gadgetbridge/issues/49 graveyard of comeptitors
 
https://github.com/Freeyourgadget/Gadgetbridge/issues/49 graveyard of comeptitors
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{{Tool Queries}}
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[[Category:Tools]]
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[[Category:Topics]][[Category:Data analysis]]