Data from the annual long-distance running event held in Kansas City provides a wealth of information. This data typically includes finishing times for each participant, categorized by age group and gender, as well as overall placement. Often, it also encompasses details such as split times at various points along the course and may include historical data for comparison. A concrete example would be the official listing showing the top three finishers in the men’s division, their respective times, and perhaps their previous best performances in the same race.
Access to this information offers significant value to various stakeholders. Runners can track their progress, compare their performance against others, and identify areas for improvement. Coaches can analyze their athletes’ data to refine training strategies. Race organizers utilize the data to improve future events, and spectators can follow the progress of friends and family or simply appreciate the athletic achievements on display. The historical context of these records provides a fascinating glimpse into the evolution of the race itself, showcasing trends in participation and performance over time.
