I’m not the person you asked, but here are some random, assorted examples of “structured data you want to learn something about”: - data you’ve pulled from an

I’m not the person you asked, but here are some random, assorted examples of “structured data you want to learn something about”: - data you’ve pulled from an API, such as stock history or weather data, - banking records you want to analyze for patterns, trends, unauthorized transactions, etc - your personal fitness data, such as workouts, distance, pace, etc - your personal sleep patterns (data retrieved from a sleep tracking device), - data you’ve pulled from an enterprise database at work — could be financial data, transactions, inventory, transit times, or anything else stored there that you might need to pull and analyze. Here’s a personal example: I recently downloaded a publicly available dataset that came in the form of a 30 MB csv file. But instead of using commas to separate fields, it used the pipe character (‘|’). I used DuckDB to quickly read the data from the file. I could have actually queried the file directly using DuckDB SQL, but in my case I saved it to a local DuckDB database and queried it from there. Hope that helps.