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
The results are in!
Important Dates
- May 24, 2021Entry Deadline
- June 4, 2021Top 10 submissions posted & voting opens
- July 6, 2021Top 5 Finalists Revealed
- July 22, 2021Finalists compete for top prizes at the 2021 Conference
FAQ
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
2021 Top 5 Finalist Visualizations
These top 5 finalists will compete at the 2021 Women in Analytics Conference!
Women in Government Worldwide
Gender equality and female representation is important to both of us. We decided to use this platform to help inform why it’s important to have women leaders in national governments, some of the challenges toward the path to gender parity, and provide resources for those who want to support and learn more about these efforts. Our visualization illustrates the gender parity problem in national governments, the barriers and facilitators to increasing the number of women in government, and how the quality of life for all citizens, especially women, can improve as the number of women in national governments increases. We utilized research from the UN Women and Council on Foreign Relations to select the metrics to tell the story. We pulled data from the World Bank, Alteryx to clean and prep the data, and Tableau to visualize our story. We chose to use data from 2018-2019 because that was the most complete data year in the World Bank for the metrics selected. Because data from the World Bank are mainly percentages, our design focuses around trends in countries that have greater than or less that 30% women, rather than overall averages, to avoid the “average of averages” problem.
Not on our watch
This project has started with one visualization and turned into a full-scale visual storytelling that illustrates activism and political violence against women during the COVID-19 Pandemic Burst. Just think, for every news headline you read, there are hundreds of daily attacks on women that go unreported. What was really happening during COVID-19? Can it be visualized to raise empathy and awareness?
Our research is based on the ACLED database {curated data about political activities and violence around the world} and our own tracked stories. It combines different visualizations, like comparison charts, a Sanaky diagram, a cluster dendrogram, and a’ flowers’ map. Each has been designed uniquely, but derived from one visual language of predefined structural elements (as line, shape, color scheme, form, proportion) and principles (as balance, unity, emphasis, white space) to communicate this sensitive data. For example, “Hair me out!” has started from a simple draft of a Sankey diagram, displaying events during the “COVID-19 Pandemic Burst”, but as I worked more with it, the bands of data transformed in my mind into strands of hair belonging to the women’s hidden stories behind that data.
The insights that are revealed demonstrate both uplifting and alarming trends in political protests and violence. The world kept turning and violence did not cease despite this pandemic.
Story at:https://medium.com/nightingale/not-on-our-watch-17907b86b985
US Gun Epidemic
My data visualisation is about the gun epidemic in the US with a specific focus on police brutality and how the African American community are disproportionately affected.
LEPROSY, India's hidden plague!
The visualization I present is about a long forgotten disease LEPROSY- a disease that WHO has declared the world to be free of. However, India still suffers remarkably from leprosy with continuous transmission & has been at the top position more than decades. My main focus is to get an awareness among people about the disease & to enable them to rethink the measures taken to declare the world to be leprosy free.
I focus on a longform dashboard to present my narrative in parts:
Firstly, I present the global overview to emphasize how concentrated the disease is in India and has been for over 20 years. I use the technique of combining map & bump chart to highlight both issues together. My technique can be referred in this blog. https://vizartpandey.com/bridging-map-with-diverse-charts/
I depict the causes for the issue with a multiple layer Sankey funnel graph to visually represent the magnitude of each cause affecting the leprosy transmission. Have utilized scatter plots to highlight the positions India holds.
Various reasons rule for different states to have the highest no of cases & I chose to highlight those sections & the reasons for them. You could choose to highlight the leprosy centers to see the distribution of centers along with the density of cases.
Lastly, I provide a timeline of measures taken by the government to bring a change.
I want to emphasize that a world is leprosy free not with just ELIMINATION but it has to be with ERADICATION.
Fire Walk with Me
My superpower is never being bored. I have tons of hobbies: I’m a heavy reader, I like riding my bike, cooking, listening to podcasts, but I probably spend the most time watching series. Last year this added up to 645 hours of content, that is 27 whole days. By looking at this number, I was half proud – half ashamed, but let me tell you, it was a damn fine year!
Prepare to be disappointed: I haven’t scraped the data but logged everything I watched each day to a spreadsheet. At the end of the year, I double-checked the Rotten Tomato and IMDB scores if they changed. I was anxious all the time that I might have forgotten to make a note of something that would ruin my whole project, but I managed to follow through. This was one of my hardest ideas to execute, and I’m 100% sure I wouldn’t do it again. If I’d get paid for the hours I spent building the dataset, drinks would be on me. I still have PTSD when I’m watching something and realizing this should have been logged.
For the visualization I used Tableau and Adobe Illustrator with a 4 component layering technique.
Details
How it Works
- Enter by submitting your best visualization by May 24th, 2021
- 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.
- At the 2021 Conference on July 22nd we'll showcase the top 5 finalists!
- 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
Want to see more amazing visualizations?
Check out the top visualizations from previous years' competitions.
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