"What’s the best way to clean and prepare a dataset or data set for analysis?"
Hey everyone!
I’m kinda new to this whole data thing, and I’ve got this messy dataset or data set (lol idk which term is "correct") that I need to clean up before analyzing.
What’s your go-to process? Do you start with removing duplicates, fixing typos, or something else?
Also, any favorite tools for this? I’ve heard of Python pandas, but is there something simpler for beginners?
Thanks in advance!
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*PS: If you’ve got any shortcuts or horror stories, I’d love to hear ‘em. Trying to avoid major facepalm moments here.*
Hey everyone!
I’m kinda new to this whole data thing, and I’ve got this messy dataset or data set (lol idk which term is "correct") that I need to clean up before analyzing.
What’s your go-to process? Do you start with removing duplicates, fixing typos, or something else?
Also, any favorite tools for this? I’ve heard of Python pandas, but is there something simpler for beginners?
Thanks in advance!
---
*PS: If you’ve got any shortcuts or horror stories, I’d love to hear ‘em. Trying to avoid major facepalm moments here.*
