Themes for NIC Face-off | Data Analytics Competition

The 2016 NIC Face-off | Data Analytics competition has three themes. Read below to find out more about the themes, find our data sets, and see our tips and advice for success. You could use the data sets that have been provided OR find your own on the web! Just make sure these are all aligned with the themes of the competition. Pro tip: Did you know that wikipedia is a treasure trove of data sets? Find out how to extract them in this blog post.

Theme: Sports

Do you love sports and sports data? Do you spend hours poring over stats trying to figure out who is going to win the championship? Uncover trends in Olympics data, or find out patterns in the remarkable 2015-2016 Premier League Season! Explore the data sets and craft a visually compelling data story! Time to stretch and warm up your viz muscles!

Data Folder: Sports

Grab the data sets below here.
  • EPL Soccer: Match data from the latest season of the English Premier League
  • Olympics Data: Every summer Olympic medalist from 1896-2008. Criteria such as home country, event, medal, and gender are included in the data. Courtesy of the Guardian.
  • Tennis Data: Match data for each ATP Season from 2000 thru 2016

Theme: Environment & Science

Stunning data visualizations can go a long way to helping communicate scientific wonders to the wider world. But more important than the technology driving the collection and analysis of this data is that people be able to present their findings to the public – and ultimately drive awareness and action. Unleash your creative potential and visualize these scientific phenomena into powerful and mesmerizing stories.

Data Folder: Environment & Science

Grab the data sets below here.
  • Significant Volcanic Eruptions: A global listing of over 600 volcanic eruptions from 4360 BC to the present via Significant Volcanic Eruptions Database. A significant eruption is classified as one that meets at least one of the following criteria: caused fatalities, caused moderate damage (approximately $1 million or more), Volcanic Explosivity Index (VEI) of 6 or greater, generated a tsunami, or was associated with a significant earthquake.
  • Global Active Archive of Large Flood Events: Global flood events from 1985 to present via Dartmouth Flood Observatory
  • Magnitude 6+ Earthquakes: All recorded earthquakes with a magnitude of 6 or greater from 1900 - 2013 via USGS (United States Geological Survey)
  • CO2 Emissions: Global CO2 Emissions broken out by country

Theme: City and Culture

As Singapore strives to become the world’s first smart nation, it will unleash a data boom across all walks of its citizen’s lives. Data will become a vehicle of civic engagement, education, well-being, or anything that helps communities thrive, including entertainment! Visualize these data in Tableau into a powerful and captivating story!!

Data Folder: City and Culture

Grab the data sets below here.
  • Singapore Private Properties Data: Property Data courtesy of Urban Redevelopment Authority Singapore
  • Pokemon Index: Contains attack, defense, speed, and HP stats for all Pokemon numbered 1-718 and their special forms. Via Pokemon Database
  • Hollywood's Most Profitable Stories: Title, genre, studio, profitability and ratings for movies released 2007-2012 courtesy of Information Is Beautiful

Want to Use your Own Data?

That's great! Firstly make sure that the data fits into one of the themes and is from a reliable, publicly available source, and should be clearly acknowledged. Need some inspiration? Check out this blog post to learn how to grab data sets from Wikipedia.

Some Tips and Advice for Success

  1. What is a story in the context of data visualization?: A series of charts, laid out in Tableau that follow a story arc or convey a certain finding/message/insight in a compelling way.
  2. After you build a chart, always ask “So What?” Is this chart meaningful? Does this captivate? Is it wowing us? Is there an element of surprise? Answers to these questions will help you go from a “good” submission to a “great” submission.
  3. Pay attention to the choice of colors and orientation. Remember! – The beauty of a visualization lies in the eyes of the viewer!
  4. Last but not the least, make sure the results are accurate and make sense.

Good luck to all the participants!