In this live stream, part of "Data Preparation & Workflow Management" (https://dprep.hannesdatta.com), I turn a "regular" R script (which downloads data and does some analysis) into a proper, automated pipeline. I'll focus on why it's important to do so, especially in the context of managing complex data- and computation-intensive projects!