Nike+ Visualizations

Information Visualization with Nicholas Felton

Using data from Nike+ users in New York City who tracked their runs, students were asked to visualize a portrait of runners and bicyclists on the move in NYC.

• Erin Moore : 105 Days, 1000 Runs, 6994 Miles

  

  This bar chart segments all of the runs from September 7 to December 21 by day and distance. Each bar equals one day. Within each day, the darker red indicates the number of longer runs, while the lightest yellow maps to the shortest runs.

• Christopher Cannon : New York Mile

  

  This project combed through over 500,000 lines of data provided by Nike+ users tracking their runs and bicycle trips. Initially by visualizing the user’s elevations, it proved that piece of data to be erratic and inaccurate. By color-coding the user’s distance and time, portrait of people’s outdoor activities in New York City can be illustrated.

• David Bellona : Nike+ Exploration

  

  I wanted to explore form over function with a pie chart to create a poster promoting Nike+. I scrubbed the data for outliers, finding 920 runs and separated distance (yellow), time (orange), and pace (teal). I used the length and time to determine the radius of each pie slice, and the area of a circle to represent pace, bisecting each arc. Other variations can be viewed here.

• Allison Shaw : Nike+ Is Kinda Bullshit

  

  Millions of people trust Nike+ to keep track of their workouts, but as with all technology, that trust evaporates the first time it makes a mistake. The purpose of this tongue-in-cheek infographic is to point out the errors and pitfalls within the Nike+ system, so that it can be improved in the future. Specifically highlighted are impossibe paces (too fast, too slow—and even negative), impossible altitude readings (one likely taken from inside an airplane and one from under sea level), GPS errors (probably induced by signal blocking skyscrapers), and the point at which the battery in the GPS unit dies (around three hours).

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• Cooper Smith : Nike+ Timelapse

  This project set out to examine the Nike+ data from a variety of angles, considering location, pace, distance, time, and even temperature, pairing them together to find correlations that paint a complete picture of what it means to be a runner in New York City.

  View the Complete Audit

• Sera Koo : NYC, A Runner’s Landscape

  

  New York City is a runner’s destination. With Central Park, the Westside Highway, and even the unpredictable challenges of sharing the streets with taxis and strollers alike, New York is a favorite among runners. “NYC, A Runner’s Landscape” takes a closer look at the city from a runner’s perspective. The first visualization explores just how far New Yorkers are going and how weather affects their total mileage. The second visualizes elevation patterns compared to that of the city. Ultimately, the city takes on a recognizable landscape through runner’s footsteps alone.

• Michael Yap : Run Explorer

  

  Run Explorer is a Processing sketch that plots the individual runs of one thousand New York City runners using data collected by the built-in global positioning system (GPS) of the Nike+. Each run is visualized on an interactive map as shown in image. Run Explorer users click on points along each run to see the corresponding Google Map Street View within a Web browser. By correlating location (vis-à-vis latitudinal and longitudinal map coordinates) and place (vis-à-vis street views), Run Explorer allows runners to discover new running routes and explore the city in a new and unexpected way.

  Download Run Explorer