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Data Visualization Competition

Data tells a story at the 3rd annual Data Visualization Competition

Join us at the University of New Brunswick's Wu Conference Centre on Thursday, Nov. 22, 2018 for the 3rd annual Data Visualization Competition.

The Data Visualization Competition will bring together teams of participants from across Canada to demonstrate the power of open data.

Teams will assess and analyze data and present to an audience to communicate a recommendation, story, or new idea. This allows for better decision-making and more varied solutions to problems that span a wide range of social, environmental, and economic topics.

Teams will be required to present the data they have analyzed to judges in a rapid “pitch” format in addition to creating an infographic poster for display during the event. It is an ideal setting for citizens to get engaged, to meet leaders in academia, government, and private organizations, and to explore the world of data science.

Data Story Presentation category

Each team will be required to present their data story to a panel of judges through data visualizations (charts, graphs, etc.) and a PowerPoint presentation. The presentations are limited to four minutes, which will be followed by a ten minute question and answer period.

Infographic category

The infographic posters will be displayed throughout the main floor in the Wu Conference Centre in Fredericton, New Brunswick. A winner will be selected by our panel of judges and announced at the competition. You will neither be presenting your infographic posters or required to be present while they are on display.

Competition guidelines

Showcase your organization at the Data Visualization Competition

Receive promotional opportunities and benefits with event sponsorship.

Key dates

  • Competition begins: Oct. 17
  • Registration deadline: Oct. 31
  • Deadline to submit infographic: Nov. 14
  • Data visualization presentations: Nov. 22


  • University of New Brunswick, Wu Conference Centre

Participant registration  Team registration

Data sets

Thank to our sponsors for making this event possible