eternal-flame-ad/glucose-experiment

This repository is a personal health data project where someone tracked their own blood glucose levels during various daily activities. The goal is to explore how different behaviors might affect blood sugar, then practice working with the collected data to clean it up and create visual charts that show what happened. The project is built entirely in Jupyter Notebooks, which are interactive documents that mix code, notes, and visual output in one place. This makes them well-suited for exploratory work where you want to write some code, see the results immediately, and iterate. Here, the author likely took raw glucose readings, used Python to organize and shape that data into a usable format, and then generated plots to spot patterns or trends tied to specific activities. The audience for this is honestly just the author themselves, it reads like a personal experiment rather than a tool built for others to adopt. That said, it could serve as a simple reference for anyone curious about doing similar self-tracking experiments. If you are someone who wears a continuous glucose monitor and wants to learn basic data analysis skills using your own health numbers, this is the kind of small, approachable project you might study for inspiration. The README is very sparse, so it does not specify which activities were tracked, what tools were used beyond notebooks, or what conclusions the author drew. There is no mention of a specific diet, exercise routine, or medical context. Anyone interested would need to look through the notebooks directly to understand the scope of the experiment and whether the visualizations or methods are useful for their own purposes.