Data generated from a 13.1-mile footrace known as the Golden Leaf Half Marathon typically includes finishing times for each participant, often categorized by age group and gender. These datasets may also feature additional information, such as participant names, bib numbers, and overall placement. An example would be a table listing each runner’s name alongside their finishing time and overall rank within the race.
Access to this competitive information offers runners valuable insights into their performance. It allows for self-assessment, comparison with other participants, and tracking of personal progress over time. Furthermore, race results contribute to the historical record of the event, documenting individual achievements and the overall evolution of participant performance. This information can be useful for race organizers, sponsors, and researchers studying athletic trends.
