Vote for one of our top 10 finalists in the Data Viz Competition.
Virtual voting opens May 9th - June 30. Winners will be announced on July 7th and celebrated at the DataConnect Conference on Oct 3, 2025 in Columbus, Ohio.
Learn more about the Data Viz Competition
By
Arshi Saleh
Tableau Developer
at
Freelancer
from
West Bengal, India
This visualization highlights the progress made in prohibiting and preventing torture over the past 40 years since the adoption of the Convention Against Torture by the United Nations in 1984.
Using eight key indicators, the visualization tracks how countries have strengthened their legal and institutional frameworks to prevent torture. As you adjust the slider from 1984 to 2024, you’ll see flowers bloom, with their petals changing from grey to various shades of blue, symbolizing the gradual progress made in torture prevention worldwide. The blooming flowers with different shades of blue represent hope and progress. I have used Figma to create the petals. The bars at the end of the viz represent the years since APT has been working towards torture prevention. The blue bars represent the years where major milestones were achieved. This interactive experience not only illustrates change over time but also serves as a testament to global efforts in upholding human dignity and human rights. The call to action buttons at the end of the viz navigates to the APT website with the option to donate or subscribe to the newsletter.
By
Kinsey Miller
Senior Data Scientist
at
Gap Inc
from
Washington, United States
They say never ask a person their age, and now you don't have to! Just ask their name. This visualization combines over a century of US birth records and life expectancy data to estimate the most likely age for any name, revealing how naming trends have evolved over time, shaped by cultural, social, and economic shifts.
In the spirit of inclusivity, I collected data on over 13,000 names for this project, focusing on those with at least 50 annual births. My original strategy of including names with 5 births per year quickly hit Excel’s row limit! Given the breadth of the data, I did most of my preprocessing in Python to efficiently prep the data, ensuring smooth performance in Tableau.
I opted for a clean and streamlined layout, heavily leveraging tooltips to layer in historical context for those who may want to explore the viz in more detail. Teal and orange were chosen to represent gender identity, avoiding the stereotypical blue and pink and providing a balanced, modern approach.This dashboard tells the story of how names, once dominated by a handful of popular choices, have become more diverse. Whether you're looking up your own name or uncovering broader trends, I hope it offers a unique look at the intersection of identity, culture, and time.
By
Yashasvi Singh
Data Steward
at
Navy Federal Credit Union
from
Virginia, United States
This visualization takes users on a global journey to explore financial literacy, highlighting how knowledge of key financial concepts varies across countries and why some nations lead while others fall behind. Using data from sources like the S&P Global FinLit Survey, World Bank, and the World Happiness Report, the dashboard uncovers the connections between financial literacy, economic stability, and overall wellbeing.
Designed with a travel itinerary theme, the dashboard guides viewers through key insights—such as the gender, age, and income groups most at risk of low financial literacy, and what top countries like Denmark, Norway, and Sweden are doing right. These nations not only lead in financial literacy but also rank high in happiness and economic strength, supported by strong education systems and inclusive welfare models.
Interactive features, such as button toggles and dynamic highlighting, allow users to switch between views, compare country performance, and focus on countries with literacy rates between 13%–30% without losing the global context. By learning from global leaders, countries can close literacy gaps and build more financially secure and happier populations.
By
Léo Cann
Data Analyst
at
Pacific Community
from
Province Sud, New Caledonia
The Gender Dashboard on the Pacific Data Hub offers interactive visualisations and detailed data on gender equality, women’s empowerment, and social participation across Pacific Island nations. The dashboard aims to highlight gender disparities and trends, empowering data-driven decision-making to address these issues. I used Power Query, M, DAX, and R Studio to analyse and present the data, ensuring a comprehensive and insightful view of gender-related topics in the region.
By
Akshatha Patil
Student
at
Northeastern University
from
Massachusetts, United States
This visualization, titled "Global Income Inequality," aims to provide a comprehensive overview of income disparities across 15 countries from 2000 to 2023. It integrates multiple chart types—bar, heatmap, line, area, and donut—to present a multifaceted analysis of income inequality metrics, including the Gini Index, top 10% income share, and bottom 10% income share.
The bar chart on the left illustrates the population distribution across countries, setting the context for income comparisons. The donut chart categorizes countries by income groups (high, upper-middle, lower-middle, low), revealing that high-income countries dominate the dataset (31.40%), while low-income countries hold the smallest share (23.81%). The heatmap visualizes the top 10% income share across countries over time, with darker shades indicating higher concentration—South Africa and the U.S. stand out with shares near 60%. Line charts track average income and Gini Index trends, showing a general rise in average income (despite fluctuations) and persistent global inequality (Gini Index around 5-10). The area chart highlights the growing gap between the top 10% (3.90%) and bottom 10% (4.36%) income shares since 1998.Design choices prioritize clarity and comparison: color gradients (blues for income, reds for inequality) differentiate metrics, while consistent scales ensure readability. Annotations provide context, such as the economic disparity in low-income countries.
Insights include the persistent global income inequality despite rising average incomes, the concentration of wealth in high-income nations, and the widening gap between the richest and poorest deciles, emphasizing the need for targeted policy interventions to address these disparities.
By
Jennifer Dawes
Analytics Manager
at
Covetrus
from
Ohio, United States
HIMYM: Love Won, but Fans Lost? is a timeline of How I Met Your Mother, told in Ted’s voice as he reflects on the time it took to meet his wife. Using a linear timeline with color-coded arcs, the viz maps key relationships, friendships, and milestones, mirroring the show’s storytelling style with callbacks and foreshadowing.
To explore the fan debate over the ending, I included an alternative Season 10 finale, imagining a different resolution to Ted’s story. This interactive element lets viewers compare the original ending with a reimagined one, sparking discussion on narrative choices and audience expectations.
By blending data with emotion, the viz challenges fans to reconsider: Was the ending inevitable, or was there another way?
By
Anushka Pandhare
Senior Data Analyst
at
Censia
from
California, United States
This visualization explores Michelin restaurants in the US, sparked by my first visit and the realization that these restaurants are mostly accessible in select areas. The dataset includes Michelin star ratings, restaurant names, locations, and price ranges. The bubble chart illustrates the correlation between star ratings, price ranges, and the number of restaurants in each category. It highlights the price variation within 1-star restaurants, while all 2- and 3-star restaurants fall into the $$$$ price range. The map visually displays their locations, showing clusters on both coasts and scattered spots in other cities. The bar chart emphasizes the prominence of contemporary cuisine, with 22 out of 34 Michelin-rated cuisines incorporating diverse culinary styles and techniques. Additionally, this analysis sheds light on the uneven distribution of Michelin-starred restaurants, sparking a conversation about access to high-end dining experiences across the country. The findings highlight how the culinary landscape in the US is influenced by regional trends, with coastal areas leading in Michelin recognition and contemporary cuisine shaping the dining culture.
By
Dennis Kao
Associate Professor
at
Carleton University
from
Ontario, Canada
This visualization was designed as a Viz for Social Good project and is intended to highlight the tremendous work of Association for the Prevention of Torture (APT) in monitoring the progress of torture prevention in the past 40 years. Design-wise, I wanted to visualize the detailed state-level information. I felt that it was important to allow the reader to see and explore the disaggregated data. So the dot plot on the right side served as the starting and featured element for the visualization. This resulted in a long dashboard and allowed me to focus the entire left side to tell the story of overall progress.
By
Edit Gyenge
Information designer
at
Panorama.ro
from
Romania, Romania
Beyond emotions, what are the real performances of Romanian football?
Romanian football is steeped in nostalgia, but how does today’s national team compare to its legendary past? This interactive scrollytelling project analyzes decades of football performance, blending historical data with storytelling to trace Romania’s journey from its first World Cup appearance to EURO 2024. Using statistical comparisons and engaging visualizations, it offers a data-driven perspective on the evolution of Romanian football.
By
Silvia Romanelli
Data Visualization Designer
at
Freelance
from
Centre, France
This visualization’s goal is to provide a glimpse into the lives of women in 8 Pacific Islands States, showing how gender equality (or inequality) came into play at different stages of their educational and professional life.
The 8 countries are: Kiribati, Marshall Islands, Micronesia, Nauru, Samoa, Solomon Islands, Tonga and Vanuatu.
The visualization is conceived as a poster, in which the charts are organically distributed and visible all at once. The layout invites readers to zoom and explore in each section, even though in a static format. The suggested reading path goes from top left to bottom right, starting with data about young women, then about education and finally employment and work, roughly following the path of a person’s life.The charts and graphic elements are designed to evoke visual metaphors of wind and waves, in line with the location of the story in the Pacific ocean.T
he visualization is based on data provided by the Pacific Data Hub. Among the variety of indicators available on their website, I selected those with the most complete datasets to tell a story about education and work opportunities for women in the Pacific region
.I explored the data in Tableau and created the first rough charts, which I later exported and reworked in Illustrator.