2021 Data Visualization Competition

Compete for Cash Prizes!

Our fourth annual data visualization competition is back! Submit your best viz for the chance to present your visualization at our conference and win cash prizes.

  • First place will receive $1000
  • Second place will receive $750
  • Third place will receive $500


How it Works

  1. Enter by submitting your best visualization by May 24th, 2021
  2. Top 10 submissions will be revealed and posted on the WIA website on June 4th, 2021. Visit the website and cast your vote for your favorite entry to help us select the top 5 finalists.
  3. At the 2021 Conference on July 22nd we'll showcase the top 5 finalists!
  4. Popular vote will determine which top three finalists win cash prizes!

What type of visualization can I submit?

Virtual or Augmented Reality

Physical medium (e.g. paintings, drawings, sculptures, photographs)

RStudio / RShiny

Graph, Chart, Visual, or Tool created via a software program (e.g. Adobe, Google, Excel)

Tableau Dashboard

Google Data Studio

Important Dates


Can I use an existing data visualization that I have made before?

Yes! Use any data viz you created!

Can I submit an viz with a team?

Yes! You create a team of up to 4 people. All winnings will be split between the team members.

If I cannot attend the conference in person, can I still participate?

Absolutely! We can pre-record an overview of your visualization and play it during the event.

Interested in Sponsoring?

Sponsorship Benefits

  • Logo placement on website and all marketing/promotional materials for the competition event

  • Tableau speaker will get 5 minutes to talk about Tableau and will announce the winners at the end of the competition

  • Social media promotion of the visualization virtual event (LinkedIn, Twitter, Facebook, Instagram)

  • Blog post and newsletter introducing and promoting the data visualization virtual event

  • WIA will cover all prep work for the event including creating of marketing materials, registration and event hosting platform, agenda, slides, preparation calls, and voting coordination

2020 Finalists

1st Place

Kinsey Miller: 

Kinsey is a decision scientist on the Test & Learn team at Starbucks. In her role, she supports the design, measurement, and interpretation of in-store A/B tests to guide data-driven decisions. Kinsey is based in Seattle, WA, and enjoys hiking, playing softball, studying French, and baking in her free time.

2nd Place

Kimly Scott: 

Kimly has over 10 years of experience working in the analytics industry, both agency and client-side. She is currently Analytics Manager for Singapore-based beauty distributor, Luxasia, where she has helped to develop a data culture and brought data to the forefront of business decision making. A former Tableau Public Featured Author and recently named as one of the Institute of Analytics Professionals of Austrailia Top 25 Analysts in Australia. Kimly is passionate about making data accessible for everyone.

3rd Place

Meera Umasankar: 

Meera Umasankar works at one of the leading international retail banks in Singapore as the Assistant Vice President in Data Democratization. Meera enjoys vizzing on important social topics and has taken part in many community data projects. She is also co-lead of the #DataPlusWomenSG community in Singapore.

2020 Finalist Visualizations

Coffee Calculator

As an avid coffee drinker who cares about her health, I have personally struggled to find an online resource that allows me to quickly and dynamically view the nutritional information associated with my favorite beverages. Using data from public sources that I manually aggregated, I decided to put together a nutritional calculator that would enable the end-user to learn about a variety of beverages (including the ability to modify size and milk options) to inform healthy, caffeinated choices.
The star of the show (and the component that required the most data gathering, scrubbing, formatting, and validating) is the nutritional facts calculator that is cleverly disguised as a nutritional label. This is a dynamic tool that enables customization and empowers the user to explore the data as he or she customizes and compares a large variety of orders.
My hypothesis is that end-users will be most surprised and enlightened by the following:
– ounce per ounce, brewed coffee is more caffeinated than standard espresso beverages (i.e., Americanos, Lattes, Cappuccinos)
– for comparable beverages, those made with blonde-roasted beans are more caffeinated than those made with dark-roasted beans
– while Nonfat Milk serves up the lowest fat content for a 16 ounce Latte, Almond Milk is most favorable when it comes to minimizing sugar and overall calorie content
I hope you find the dashboard informative and transparent. Cheers!

Refugee Migration

The Tableau visualisation here shows the movement of refugees from various countries around the world to the US. The visuals here shows the trend, where the refugees were from, where did they settle in and which religion they belong to. The migration trend as of 2018 is on the decrease because of Trump’s presidency & his resettlement program. Burma ranks the top from where the people migrate. Texas ranks top on welcoming the refugees to their state. And of course, Muslims are not accepted like before due to Trump’s presidency & his rules. The call to action button below on the visualisation navigates to the UN refugees website so that the users can contribute or help the refugees with whatever they can.

ITP Impact

“This Data Studio Dashboard explains the impact of ITP (Intelligent Tracking Prevention) on data in Google Analytics. It’s made for online marketeers, who had troubles understanding the subject because of the technical and theoretical aspects to it. The goal of this dashboard was to make ITP clear and accessible for marketeers. To do so, I made three design choices:

1. The dashboard has the look-and-feel of an online article. That’s why the design is very clean and white, and why it combines data with informative paragraphs and infographics.

2. The dashboard is a story. Many dashboards show a lot of data at once without any hierarchy. This makes it hard for the viewer to see what is really important. This dashboard does the opposite: it takes viewers through the subject step-by-step. In the end, they know exactly what ITP might mean for their data.

3. The dashboard is personal. Many articles about ITP remained on a theoretical and general level. With this dashboard I wanted to show directly what ITP means for THEIR data. That’s why viewers can select their own Google Analytics data view on top.

Next to the dashboard, I also wrote an actual article that supports and promotes the dashboard. Even today, 2 months after the release of the dashboard, many people still view the dashboard on a daily basis.

Link to dashboard: https://datastudio.google.com/open/1llqii9oyHXx2kLy6AOHI8AQnKIS1BrX6

Link to article: https://towardsdatascience.com/what-is-the-actual-impact-of-itp-2-1-and-2-2-on-your-google-analytics-data-free-tool-99e42c5978a6″

The Global Journey of Refugees

The global refugee population reached a record high of 25.9 million in 2018. In this visualisation, users can explore where refugees mostly come from over the past decade and also where they usually seek asylum seeking safety, as a result of war, genocide and persecution. The visualisation also allows the user to explore where refugees resettle to start their new life and how host countries allowed refugees into their countries over the past decade.

Coming to Australia

“My visualisation titled ‘Coming to Australia’ looks at refugee resettlement in Australia and how it compares to the rest of the world.

Here, I wanted to highlight the global refugee crisis. At the end of 2018, there were over 25 million refugees worldwide, but less than 0.4% of the total refugee population had been resettled in another country. The majority of refugees are fleeing from war, conflict, violence and persecution.

Drawing on my family’s own experience as refugees resettling in Australia, I wanted to show the challenges and struggles refugees face when they flee their home country. Challenges such as language barriers, physical and mental health and racism and discrimination. By sharing my own personal story, I wanted to remind people that behind the data and the numbers, there are real people with real lives who matter.

The visualisation is built in Tableau to allow for interaction and exploration. I wanted the design to be clean and minimalist as to not detract from the important and often sensitive topic.”

Want to see more amazing visualizations?

Check out the top visualizations from previous years' competitions.

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