Semistructured data in research is like having training wheels for messy real-world data.
I’ve used Python’s `BeautifulSoup` to scrape and structure web data into JSON—super handy for ad-hoc projects.
Biggest challenge? Validation. Tools like JSON Schema help, but it’s still easy to miss inconsistencies.
How do you guys handle data quality checks?
I’ve used Python’s `BeautifulSoup` to scrape and structure web data into JSON—super handy for ad-hoc projects.
Biggest challenge? Validation. Tools like JSON Schema help, but it’s still easy to miss inconsistencies.
How do you guys handle data quality checks?
