What makes working with data so hard for ML?

Hi all,
I’ve been talking to several data scientists, and the common response I get when asking about the hardest part of their job is that it’s getting the data in the right shape.

Why is this so challenging, and what has your experience been like when building your own models? Do you have any tools that help with this, and do you think it’s a real issue?

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Data is messy, and there’s no iterative structure that can be applied to fix it.