I don't feel you will be able to detect big correlation by using that kind of system. If there is a big correlation to be found, it is likely to have already been found by researchers.

I'm tracking my life by a similar system than OP, but the error with tracking is to start tracking useless things. For example OP track his calorie intake, it is a lot of work, and it is not really usefull at the end. It is unlikely to correlate with any other measures he is doing (apart from weight).

I personally only track mood, activities and position. Each tracking has a specific goal, and only take me 1 minute per day. I have a lot of headaches and could be tempted to track headaches to understand what triggers them. But now that I know what triggers them (when I'm hungry, or I spent too much time exposed to the sun) I would never have been able to detect that correlation from data.

So my advice to people wanting to track their life, identify first what you need the data for, and increase the number of data you track if you have a lack of data to achieve a specific goal, but don't track for the sake of tracking.

For example I track my position, to know where I have been, but also to warn my parents in case I go missing and nobody know where is my last position

I track my mood, to know if I am doing better over time, or if I'm able to improve my sleep not only by feeling it, but by having numbers on

I track my activitites, because I want to know If I work too much, if I do enough sport, or if I spend too much time on my computer in a week