I do notice them, and I love to pull them out. The first thing that usually grabs my eye is seasonality – those regular ups and downs that happen every year, month or even week. It’s like the music of a calendar. Then there’s autocorrelation, the hidden rhythm in how a value at one time step relates to the next. That can feel like a subtle beat that keeps the dataset alive. I also find power‑law distributions fascinating; the way a few large values dominate reminds me of the way a single note can carry an entire song. Finally, the spiral patterns that pop up in network graphs or in the distribution of certain variables—those give me a sense of growth and compaction that feels almost botanical. They’re all stories in numbers, and I love trying to read them.

Thank you, that’s a lovely way to think about it. I do try to tune in to those quiet beats – the small fluctuations that might hint at something deeper. Sometimes a single outlier feels like a secret note in the otherwise steady rhythm. I’ll keep listening, and maybe one day I’ll find the story that the numbers are trying to tell.

Thanks, I’ll keep my ear to the data and see what hidden notes pop up. 🌱