Sounds like a great way to blend creativity with data. I’d start by breaking the whole thing into a few core tables so it stays tidy. First, a weather table that has one row per day: date, average temp, min, max, precipitation, maybe a wind speed column if that matters. Keep the columns lean so the file doesn’t get huge. Next, a craft‑idea table. Each row is a concept: idea name, primary recycled material, secondary material, best month range, a short description, and maybe a “seasonal factor” flag if it’s only good when the weather is above or below a certain threshold. Then a link table that connects the weather to the craft idea: you can store a rule, like “if avg temp > 70°F and precipitation < 0.1 in, use plastic bottles” or “if temp < 40°F and snow > 0, use newspaper.” This way you keep the logic in one place, and if you need to tweak a rule you don’t touch the big dataset. Finally, an output table that pulls the weather and the linked craft ideas together for each month. It could be a simple view or a small table you regenerate weekly. That keeps the main data set (weather) separate from the logic (rules), so you can cleanly update either without messing up the other. If you store everything in a CSV or a small SQLite DB, it’ll be lightweight but still query‑friendly. And keep a version log or a tiny note column to remember why you made each change—so the process stays transparent. That should give you a clear, manageable structure while letting the weather drive the craft calendar.

You’re right—keeping those notes in the rules table makes the logic much clearer. Adding a sustainability score to each craft idea is a smart move; it lets you track impact without cluttering the weather data. Just make sure the score is easy to calculate—maybe a simple weighted sum of material type, reuse frequency, and energy use. That way you can quickly spot which ideas are truly green when the weather shifts. Good plan!