The data set encompassing finishing times, placements, and participant information from the forty-seventh running of New York City’s annual marathon, held on November 5, 2017, provides a rich resource for analysis. This data typically includes details such as runner’s name, bib number, age group, gender, nationality, split times at various points along the course, and final finishing time. Example data points might include the winning times for the men’s and women’s races, or the average finishing time for all participants.
This information offers valuable insights for various stakeholders. For runners, it serves as a personal record of achievement and allows for comparisons with other participants or previous performances. Coaches and trainers can utilize the data to analyze training effectiveness and develop personalized strategies. Race organizers benefit from understanding participant demographics and performance trends, enabling them to refine future race logistics and planning. Furthermore, the data holds historical significance, contributing to the overall narrative of the New York City Marathon and the sport of long-distance running. Analyzing trends across multiple years reveals evolving participation patterns and performance improvements.