With this one the thrust is basically there are a number of "seemed like a good idea at the time" type approaches to reusing data analysis work that deliver benefit in the short term, but will get you absolutely wrecked by complexity and technical debt over the long term. I have found only one scalable way to manage the complexity of building data science capability. Yes it involves writing lots of packages 📦 📦 📦 📦 📦 😅

milesmcbain.com/posts/data-ana

#rstats #DataScience

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@milesmcbain (just got around to this tab) yep I have gone through these phases slowly and haphazardly, alone over the course of my PhD... hopefully will make me a better team member in the right team afterwards!

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@jroper I reckon if you got out of copy paste in your phd you’re doing exceptionally well.

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