tl;dr:"Aggregation is the standard best practice for analyzing time series data, but it can create problems by stripping away crucial context so that you’re not even aware of how much potential insight you’ve lost. In this article, I’ll start by discussing how aggregation can be problematic, before walking through three specific alternatives to aggregation with before / after examples."