This is Part 2 in the Practical Pandas Series, where I work through a data analysis problem from start to finish. It’s a misconception that we can cleanly separate the data analysis pipeline into a linear sequence of steps from data acqusition data tidying exploratory analysis model building production As you work through a problem you’ll realize, “I need this other bit of data”, or “this would be easier if I stored the data this way”, or more commonly “strange, that’s not sup...
