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{{Topic Infobox}}
 
{{Topic Infobox}}
A frequent need when engaging in personal science is finding relationships between different variables across a time series<ref>Core-Guide_Longitudinal-Data-Analysis_10-05-17.pdf (duke.edu)</ref>, an example could be the question "does eating chocolate improve focus?".  
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Most personal science projects require finding relationships between different variables of the type 'time series'<ref>Core-Guide_Longitudinal-Data-Analysis_10-05-17.pdf (duke.edu)</ref>. An example could be the question "does my daily chocolate consumption correlate with my daily focus score?". Most internet resources treat time series as (regular cyclical) series, which is not useful as most of the tracking variables have no regularly cyclical component. 
    
== How does one find relations between variables ==
 
== How does one find relations between variables ==
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