Past Data Fest Events

2019 - Canadian Womens Rugby

We had 48 students from 6 different schools register as 12 teams. The diversity of the student majors was remarkable. This year we had representation from Mathematics & Statistics (35%), Computer Science (26%), Business (28%) and Other majors (17%). In the end, six teams presented their findings. Each team had five minutes and a maximum of two slides (one team created a video presentation) to present findings to a panel of judges.

The data this year was provided by the Olympic Champion Canadian National Womens Rugby team. A complex set of four different datasets containing GPS tracking data during games, physical wellness surveys, and training workload. The data provider asked students to consider role of workload and fatigue in Rugby 7’s, a fast-paced very physically demanding sport that pushes the limits of athletic speed, endurance and toughness.

Teams presented informative findings on what an optimal training workload could look like at different points in the season, or how certain summative wellness measures that are currently being used could be optimized to provide better predictive ability. The winning teams were:

Best Use of Outside Data

Kwonsu Bus Slides
This team gathered weather data from an external website to analyze how weather patterns such as temperature and precipitation affected the team performance.

Best Visualization

Re(sps) Slides
This team's visualizations conveyed their story in the most informative manner.

Best Discovery

Standard Deviants Slides
This team used multiple levels of statistical models to identify the negative impact soreness has on player speed, which was also found to be associated with overall team performance in tournaments.

Judges Choice

The Data Strikes Back Slides
This team built an interactive application for coaches to monitor their players performance and wellness.
See their video submission at https://youtu.be/nwzyN3rt4yI

Having fun and hard at work!




2018 - Indeed.com

Our first year saw 12 undergraduate students from Applied Mathematics, Statistics, but also Computer Science, Construction Management, Civil Engineering, and Biology. The diversity of backgrounds and experiences was amazing. Many students were buzzing afterwards about how much fun they had and how much they learned that weekend.

After two days of intense data wrangling, analysis, presentation design, interspersed with a lot of good free food and caffeine, each team presented their findings to a panel of judges consisting of both on and off campus professionals. Over $500 worth of prizes were awarded for the following categories:

Best Use of Outside Data

The Squadratics Slides
Eduardo Gomez, Jerry Tucay, Mariby Cruz, Mitch Borgert

Best Visualization

Team Orange Slides
Pedro Valdiva, Mike Mulligan, Grant Esparza, James Dittig

Judges Choice and Best Discovery

Sloth Programming Team Slides
Collin Deven, Eisley Adoremos, Ben Scanlan, Marisol Najera

Having fun!