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For all four metrics, I used my existing data exports from Oura and Fitbit to [[Open Humans]], filtering for data that fell within the time period of interest. I marked down the start of the overall stress period as starting on September 13, 2021 as this corresponds to the end of the general summer vacation period in France and my own end-of-summer vacation. For the "end of stress" date, I marked down April 8, 2022 as the date where I got my job offer for leaving. To create a pre- and post-stress baseline view, I additionally exported the 10 weeks of data prior to the stress-onset as well as all remaining data until May 31, 2022 to evaluate the evolution after the stress period. The raw data consists of a single data point per day for each of the variables and I calculated weekly averages to remove some of the noise due to differences in weekdays/weekends etc.  
 
For all four metrics, I used my existing data exports from Oura and Fitbit to [[Open Humans]], filtering for data that fell within the time period of interest. I marked down the start of the overall stress period as starting on September 13, 2021 as this corresponds to the end of the general summer vacation period in France and my own end-of-summer vacation. For the "end of stress" date, I marked down April 8, 2022 as the date where I got my job offer for leaving. To create a pre- and post-stress baseline view, I additionally exported the 10 weeks of data prior to the stress-onset as well as all remaining data until May 31, 2022 to evaluate the evolution after the stress period. The raw data consists of a single data point per day for each of the variables and I calculated weekly averages to remove some of the noise due to differences in weekdays/weekends etc.  
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Each of the weekly averages was then plotted on a [[timeline]], alongside an annotation for the time periods to evaluate any changes/trends compared to the baselines. The code to reproduce these visualizations using your own data is available as a Jupyter notebook.
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Each of the weekly averages was then plotted on a [[timeline]], alongside an annotation for the time periods to evaluate any changes/trends compared to the baselines. The code to reproduce these visualizations using your own data is available as a [[Jupyter]] notebook<ref>https://exploratory.openhumans.org/notebook/168/</ref>.
    
== Results ==
 
== Results ==

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