The 2017 NIC Face-off | Data Analytics competition has three themes. Read below to find out more about the themes, find our datasets, 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 datasets? 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 datasets and craft a visually compelling data story! Time to stretch and warm up your viz muscles!
Data Folder: Sports
Grab the datasets 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.
- Olympics Data 2: Data on medals earned in the most recent Rio Olympics
- • SEA Games 2007-2015: Data on every participating athlete in the SEA Games. Courtesy of Sports Singapore.
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 datasets below here.
- Health Nutrition: Various indicators on health and nutrition of countries globally (1960-2016)
- Education Statistics: Various indicators around education levels and penetration for countries globally (1960-2016)
- Temperature Variations: Temperature variations globally on a monthly basis from 1980 to 2016
- CO2 Emissions: Global CO2 Emissions broken out by country (1960-2016)
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 datasets below here.
- Women’s Rights by Country: Range of women’s rights indicators from UN Women’s 2011 Progress of the World’s Women report
- Chicago Taxis: Chicago taxi trips and fares from 2013-2016
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 datasets from Wikipedia.
Some Tips and Advice for Success
- 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.
- 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.
- Pay attention to the choice of colors and orientation. Remember! – The beauty of a visualization lies in the eyes of the viewer!
- Last but not the least, make sure the results are accurate and make sense.
Good luck to all the participants!