How to stay out of analytic rabbit holes: avoiding investigation loops and their traps

“What if we add these variables?..” is a deadly type of a question that can ruin your analytic project. Now, while curiosity is the best friend of a data scientist, there’s a curse that comes with it – some call it analysis paralysis, others – just over-analysis, but I call these situations “analytic rabbit holes”.… Read More How to stay out of analytic rabbit holes: avoiding investigation loops and their traps

Practical data science tips & tricks – writing wrapper functions for dplyr

This is a first post in the practical data science series with tips and tricks from my experience. I have been doing data science for over 10 years now and there are many practical hacks most of which are pretty simple but can really improve one’s performance when writing code or doing analysis. This one is for… Read More Practical data science tips & tricks – writing wrapper functions for dplyr