Showcase Your Data-Driven Artistic Skills While Competing for Top Prizes
Practitioners of all genders and skill levels are encouraged to enter the Data Viz Competition. The Top 5 Finalists will have their visualizations announced and projected live on stage at the Women in Analytics Conference on June 4, 2020. Following the opening announcement, each entry will be displayed in our Data Gallery, where audience members can take a closer look and cast their vote for the top viz. The popular vote determines which 3 finalists win top prizes. Winners will be announced on June 5, 2020.
Following the opening announcement, finalists are encouraged to let their viz speak for itself and enjoy the conference!
How it Works
Enter by submitting your best visualization by December 14th, 2019
- Top 10 submissions will be revealed and posted on the WIA website on January 13, 2020. Visit the website and cast your vote for your favorite entry to help us select the top 5 finalists.
- At WIA 2020, we'll showcase the top 5 finalists! After each finalist is announced, their entries will be displayed in the Data Gallery.
- Popular vote will determine which top three finalists win cash prizes!
What type of visualization can I submit?
Compete for Top Prizes
Yes! All genders are not only welcome but encouraged to enter the competition.
Nope! Please use any dataset and cover any subject matter that you are comfortable visualizing.
Yes, you are permitted to enter a visualization as a team! However, please note that if your entry qualifies in the Top 5, WIA can only cover travel and conference pass for one individual.
Entry Deadline: Saturday, December 14, 2019 at 11:59 PM Eastern Time
Cast Your Vote to Help Determine the Top 5 Finalists
The Top 10 entries have been selected – now it’s up to YOU to help WIA determine which 5 finalists will showcase their viz and compete for top prizes at the WIA 2020 conference.
Learn more about each entry using the image links below, then scroll down and cast your vote!
This infographic explores the resurgence of Measles and takes the reader through various “chapters” of the measles epidemic. Starting with a custom lineline, I’ve utilized vertical and horizontal space in a way to show the progression of the vaccine discovery. This is followed by additional information about the virus using a custom created virus all using data points in Tableau. The story moves into the vaccine schedule – giving people an understanding of the CDC’s recommendations. Lastly, I explore the specific outbreaks in the US, the herd immunity using a plum pudding chart (which I have a blog about), and the global impact. The infographic is designed to provide information, explore the purpose and need for vaccinations, and highlight data that points to the rationale for vaccines. As with all infographics, this is a curated story designed to persuade and inform with the use of well-designed icons, colors, and flow.
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.
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!
A Constellation of Horrors
The file contains a poster done with Adobe XD about the Visualization called: ‘Cuentalo’. The original visualization represents the tweets published in the ‘Cuéntalo’ movement similar to ‘MeToo’, about gender violence from April 27th to May 13th, 2018 in Spain and Latin America.
Using artificial intelligence, we classify tweets based on the degree of abuse and whether it occurs in the first person or is shared by third parties.
more info: bsc.es/viz/corner/?m=201901&lang=en
Chain of Death
It was really difficult and challenging dataset as this viz was dedicated to my younger brother Peter, I lost three years ago. The problem of opioids is very complicated and multi-dimensional. We see the problem is growing and more and more young people is losing their life. It’s a tragedy for their families and friends. As data community we should use impactful dashboards to inform society about problem of opioids and depression. The magnitude, severity, and chronic nature of the opioid epidemic is of serious concern to clinicians, the government, the general public, and many others.
Good Night. Sleep Tight...
As a mother of two young boys, it’s not uncommon for me to be woken in the middle of the night – even multiple times. However, when we moved to a new state, my oldest son developed some challenging sleeping habits – he woke several times a night… every night… for months. Eventually, I did what any good data visualizer does: record the data and visualize it, of course! This visual shows data regarding how often my son woke up each night for a period of time and how long it took him to wake the next time. The inner part of the coxcomb chart is when he went to bed and each subsequent section of the slices is how long it took him to wake up. There are a lot of interactive details including two buttons to show information about the data collection and details calling out insights in the data. Additionally, since I wanted to have fun with the idea that he told me he was afraid at night, I added in a light switch. You can turn off the light and find out what may be scaring him for fun. Due to the chart type, there were a lot of complicated calculations and techniques used to get the visualization exactly how I wanted it. Luckily, a few months later, he finally started sleeping through the night!
“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″
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.”
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.
Women's World Cup 2019
“Living in the UK over the summer, I was gripped by the Women’s World Cup. For me, it was far more entertaining than the men’s version and much less publicised! I then came across the work of Deroy Peraza – who created stunning visuals of the results of previous World Cups; I was fully inspired. The radial bracket chart had been achieved in Tableau before – but I wanted to make it neater and use my own polygon technique to make it more interactive, engaging, and bespoke. I like to keep things clean to let the user pick up on the subtle design nuances instead. I spent a lot of time fussing over colour, as with so many teams this gets tricky! I added a quote to hopefully engage an emotive reaction from the viewer – similar to my own when I was watching proud of our Lionesesss.
Overall, I was pleased with the final output – it had love put into it – and hopefully raised more awareness for a version of the game that deserved more attention.
Need some inspiration?
Check out the top visualizations from previous years' competitions.
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