Wrong but useful. Working @Twitter, tweeting about data science and people management.
"Wait, it's all her views?" 
"Always has been"
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I secretly kind of enjoy messy data, as long as it’s the kind of messy that can be cleaned up.
I feel this. Data cleaning is a DS task that there's a clear endpoint to. The feeling of unambiguously finishing a task is a harder endorphin rush to come by in DS than in a lot of other tech professions
Having spent the majority of my career in research, I don’t know that I’ve ever unambiguously finished a task in my life. You’re never really done. I just happen to subscribe to the school of thought that data cleaning is a form of analysis.
Agreed on both accounts. You're never done with analysis work because the systems you're studying (and your understanding of them) are constantly evolving. As for cleaning, I see it as being about honing in on the correct abstractions.
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