Information generated from a 13.1-mile footrace held in Berkeley, California, sometimes contains ending instances for every participant, usually categorized by age group and gender. This knowledge might also embrace general placement, cut up instances for numerous factors alongside the course, and in some instances, qualifying data for different races. An instance can be a searchable database itemizing every runner’s bib quantity, identify, and ending time.
Entry to this data presents runners a strategy to monitor their efficiency progress, examine their outcomes with others, and have a good time their achievements. Race organizers use the info for official record-keeping, figuring out high finishers, and planning future occasions. The historic context of those information supplies worthwhile insights into the evolution of working efficiency over time and might mirror traits in participation inside the sport.
