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Finding relations between variables in time series (edit)
Revision as of 14:29, 27 February 2023
, 14:29, 27 February 2023no edit summary
{{Topic Infobox}}
A frequent need when engaging in personal science is finding relationships between different variables across a time series, an example could be the question "does eating chocolate improve focus?".
A frequent need when engaging in personal science is finding relationships between different variables across a time series, an example could be the question "does eating chocolate improve focus?".
Types of data. [Exercised] is an event with specific occurrence moment and length while [tired] is a vaguer value user could use to try to describe feelings past 4 hours.
Types of data. [Exercised] is an event with specific occurrence moment and length while [tired] is a vaguer value user could use to try to describe feelings past 4 hours.
[[Category:Topics]]
[[Category:Topics]]