
Introduction
I’ve always been fascinated by how data can reveal hidden patterns in everyday life. Like many urban dwellers, I often take taxis to save time—working on my laptop in the back seat instead of zoning out on public transport. But I couldn’t help noticing how wildly the prices fluctuated throughout the day!
For my daily commuting needs, I regularly use Yandex.Taxi (internationally known as Yango), one of the largest ride-hailing services in Eastern Europe. While the app is convenient and the service reliable, I noticed significant price fluctuations depending on the time of day, weather conditions, and other factors that weren’t immediately obvious.
