Data generated from a springtime footrace of 13.1 miles held in Chicago provides runners, spectators, and organizers with valuable information. This data typically includes finishing times for each participant, categorized by age group and gender, as well as overall placement. Examples might include the winning time, average finishing time, and records broken.
Access to this information offers numerous benefits. Runners can track their performance progress, compare their results against others, and identify areas for improvement. Race organizers can use the data to refine future events, ensuring optimal course management and resource allocation. Furthermore, historical race data provides a valuable context for understanding trends in participation and performance within the running community. The information can also be used by media outlets and sponsors to highlight achievements and promote future races.