[OC] 3 years of daily weigh-ins: I'm heaviest on Mondays, lightest in September, and my birthday shows up in the data. Statistics

What This Visualization Shows

This data visualization displays "[OC] 3 years of daily weigh-ins: I'm heaviest on Mondays, lightest in September, and my birthday shows up in the data." and provides a clear visual representation of the underlying data patterns and trends. The visualization focuses on I weighed myself almost every morning for 3 years. Here's what's actually going on.

I'm heaviest on Mondays (weekend eating), lightest around Thursday, and the cycle repeats every single week like clockwork — about ±0.35 kg. Turns out this isn't just me: studies with thousands of people found the exact same pattern.

There's also a seasonal swing of about 3 kg. Heaviest in January (holidays), lightest in August–September. And if you look closely at the seasonal plot, there's a little bump in June. That's my birthday.

The long-term trend is its own story: gained about 5 kg over two years,now losing again. Not linear, more like a slow wave.

The fun part: after removing all of that, the leftover signal still has mysterious cycles at 70 and 113 days that I can't explain. Something is driving them but I have no idea what.

Method: GAMs on the irregular time series (31% of days are missing — no imputation), Lomb-Scargle periodograms to find the periods. Done in R. Full write-up with code if anyone's curious:

[https://jbogomolovas2.github.io/Julius-s-Blog/posts/weight\_fluctations/](https://jbogomolovas2.github.io/Julius-s-Blog/posts/weight_fluctations/), which allows us to understand complex relationships and insights within the data through visual storytelling.

Deep Dive into the Topic

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