This example visualizes a GPS-tracked virtual Boston Marathon run, using a GPX file containing timestamped latitude, longitude, elevation, heart rate, and cadence data. The visualization renders the runner’s route as a path on a map, with color or styling encoding speed or heart rate along the track to reveal pacing and effort changes throughout the 26.2-mile course. As a live animation, the track draws progressively in sync with the recorded timestamps, letting viewers follow the run in real time while a summary panel updates cumulative distance, elapsed time, and current pace. The data, sourced from a public gist by andyreagan, was originally recorded with a GPS device on September 13, 2020, during the virtual Boston Marathon, and includes elevation, temperature, heart rate, and cadence for each track point, allowing for multi-dimensional exploration of the run.**Virtual Boston Marathon Data** (2020) This visualization tracks a runner's virtual Boston Marathon using GPS data recorded on September 13, 2020, during the pandemic-era virtual race. The GPX file contains over 42km of track points with timestamps, elevation, heart rate, temperature, and cadence. The visualization maps the route on a geographic basemap, with the path colored to encode heart rate zones or elevation. A coordinated line chart shows heart rate and elevation against distance or time, allowing viewers to correlate performance with course topography. The route begins near the traditional Hopkinton start and traces the full 26.2 miles, with pace and physiological data revealing how the runner managed the infamous Newton hills. A play button animates the runner's progress along the route, with a marker showing the current position. The display updates the distance covered, current pace, average heart rate, and cumulative elevation gain. A toggle lets viewers switch between heart rate, pace, and elevation views, with the trail colored by the selected variable. Hovering over the route displays exact timestamps, heart rate, and temperature at each GPS point. This visualization demonstrates how a single GPX file from a GPS-enabled fitness device can be transformed into an interactive performance dashboard. It highlights the runner's pacing strategy over the 26.2 miles, with heart rate zones and elevation changes, and shows how the 2020 virtual Boston Marathon was run when the traditional race was canceled due to the COVID-19 pandemic.# Virtual Boston Marathon Data This visualization transforms a GPS track from a 2020 Virtual Boston Marathon run into an interactive performance dashboard. The data, captured via a Strava GPX file, contains timestamped latitude/longitude coordinates with elevation, heart rate, temperature, and cadence readings for every second of the run. The visualization plots the marathon route on a map, with a color gradient along the path encoding heart rate zones from warm-up (blue) through effort (red). Elevation is shown as a profile chart below the map, and a play/pause scrubber lets viewers follow the runner's progress in time, with a marker synchronized across both views. The user can hover over any point along the route to see exact GPS coordinates, timestamp, heart rate, temperature, and cadence. A distance axis reveals pace changes over the 26.2-mile course, including a noticeable slowdown during the infamous Heartbreak Hill section. This example demonstrates how rich physiological and performance data captured in a GPS track can be combined with geographic information to create an engaging narrative of a virtual race experience.# Virtual Boston Marathon Data This visualization maps a runner's GPS-tracked virtual Boston Marathon, recorded on September 13, 2020. The GPX track contains over 26 miles of route data with continuous readings for location, elevation, time, heart rate, temperature, and cadence. The visualization presents the marathon route as a two-dimensional path overlaid on a map, with the runner's position, elevation profile, and physiological metrics displayed along the course. By encoding heart rate through color along the route and elevation through a separate profile chart, viewers can see how the runner's effort varied across the 26.2-mile course. The data captures the full virtual race experience, including the characteristic rolling hills of the Boston course and the pacing strategy of the runner. This example is notable for demonstrating how raw GPS tracking data (GPX format) can be transformed into an engaging, multi-faceted visualization that combines geographic route mapping with physiological performance data. The timestamped track points allow for interactive exploration of pace, heart rate, and elevation changes throughout the race.