This blog post discusses the limitations of traditional time-series data visualization, particularly how event binning can obscure important details like burst events and idle gaps. The author introduces log-gap charts as an improved method for visualizing this data, allowing users to see the overall shape of event distributions while maintaining both time and aggregate resolution. The post includes practical examples to illustrate the effectiveness of this technique for analyzing web traffic.