Querying DateTimes in ClickHouse

The post explores the use of ClickHouse functions for querying and filtering dates and datetimes, focusing on practical applications such as analyzing the New York City taxi dataset. It demonstrates how to set up the database and import over 3 million records from a public dataset. The analysis includes examining taxi trips by hour and 15-minute intervals to identify patterns during rush hours, utilizing functions like `toStartOfHour`, `toStartOfFifteenMinutes`, and `dateDiff` to calculate durations and average speeds. It also investigates the differences between weekday and weekend traffic patterns, showing a sharper spike in weekday trips and a steadier increase during weekends. The post provides a comprehensive look at how these functions can be applied to real-world data analysis, offering insights into traffic flow in New York City.