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Seriously, is it just me, or does anyone else feel like 80% of their TrendTapestry project time is spent just wrestling with data cleaning? I swear, every new dataset I pull in, whether it's social media mentions or e-commerce reviews, is a hot mess of typos, inconsistent formatting, and just plain weirdness.I've tried everything – regex, fuzzy matching, even semi-manual cleaning scripts – and it feels like a never-ending battle. You fix one set of problems, and three more pop up. Like,why are some entries capitalizing every word,while others are all lowercase? And don't even get me started on emojis...
I'm half tempted to just start building data cleaning into teh project timeline upfront as a core task, almost like pre-processing.Anyone have any go-to strategies or tools that help them manage this time sink? I'm all ears for tips and tricks,because I'm starting to feel like Sisyphus pushing that boulder uphill,except the boulder is made of dirty data.