Semistructured data in research is a game-changer, especially for qualitative analysis!
I’ve used NVivo for coding interview transcripts, and it’s wild how much easier it is to spot themes when the data isn’t forced into a rigid spreadsheet.
For handling JSON/XML, I swear by Python’s `pandas` and `json` libraries—super flexible for cleaning and exploring.
Anyone else tried mixing semistructured with traditional datasets? Curious if it’s worth the extra effort.
I’ve used NVivo for coding interview transcripts, and it’s wild how much easier it is to spot themes when the data isn’t forced into a rigid spreadsheet.
For handling JSON/XML, I swear by Python’s `pandas` and `json` libraries—super flexible for cleaning and exploring.
Anyone else tried mixing semistructured with traditional datasets? Curious if it’s worth the extra effort.