[Random_Person]

I'm glad you pointed out the tags issue. I've been using Daylio for a while now because I like doing little entries throughout my day and I initially set up a bunch of tags. Lately those tags have started to feel like a burden because I worry about missing an entry related to those tags. That burden hasn't become significant yet, but it is something that's bothering me and I could see it be an excuse later on to just give up on the whole thing... i.e. the data junky in me says what's the point of tracking data if the dataset isn't accurate.

[bbor]

I’ve been working on the same thing. Does anyone here have tips on how to filter/mask a given time-based data set so that it infers data where possible (i.e. if I logged one mood for the day, it’s probably safe to map that across the whole day) and ignore unrealistic data (I.e. if I logged one meal for the day, that’s probably not a useful day of data).

So far just been winging it on a case-by-case basis but curious if there’s a fundamental pattern I’m missing