2 Workflow

Often the best way to start a data analysis project is to decide what you’re workflow should be and roughly how long each bit is going to take.

For instance, if you know that the data you’re going to be working on is likely to be littered with mistakes and errors, then you should preemptively allocate a decent amount of your time to the “importing” and “cleaning” steps of your workflow. Similarly, if you’re end goal is to produce a predictive model at the end, then work in a feedback loop where you inspect and evaluate your model before improving it in the next iteration.