Which DVS Persona Are You? (Quiz)

Created by: Joseph Ricafort

1st place exploratory

Which among the 16 DVS personas are you and what does it says about the majority of the personas who have the same persona as you? Four different variables (years experience, role, annual income, commitment), split into two leaning sides each, mixed-and-match and altogether resulted into 16 different personas! Which one are you? This Quiz will help you identify which persona are you the closest among the 16 unique DVS personas. It also describes how of you have the same persona and how common or rare your persona type is among the DVS community.

​Link to Visualization

A matter of time: Linking job titles to data visualization tasks

Created by: Martina Dossi

1st place explanatory

The visualization focuses on the relationship between data visualization tasks and job titles in terms of dedicated time. It has been submitted as explanatory visualization given the presence of many plots showing overall trends and relationship that should guide the reader through the complete story. The purpose of the analysis is to investigate how different professional roles are related to data visualization tasks in terms of devoted time, answering question such as: 'is there any difference in how time is allocated to different activities between job titles?', 'which role spend more time in each task?', and 'what are the other tasks explicitly specified in the dedicated field?'.

​Link to Visualization

10 Infrequent Ways to Distribute Your Time in Dataviz

Created by: Liz Bravo

2nd place explanatory

The 2021 Data Visualization SOTI Survey was taken by over 2,100 people. One of the questions was: Thinking back over your most recent workweek, how much time did you devote to the following aspects of data visualization? The question had five possible responses about the lapsus of time in every aspect of data visualization. 

 Diving in all answers, I was curious about the unique, rare, or unusual time distributions because I like combining data and thread; hand-sewn is one of my favorite techniques to visualize. Producing data visualization stitch by stitch takes much time.

Link to Visualization

Viz Heads

Created by:

The Odd Team: Ana Bertol, Ana Sifuentes, Bruno Lorenz, Francisco Estivallet, Gabriel Rezende, Leticia Pozza, Matheus Alves and Vitoria Valle

3rd place, exploratory

Viz Heads is an exploratory visualization to support answer the question: "I've started studying data visualization recently, who should I follow?" We've heard that question a million times, so to answer that, who better than the DataViz community itself? We've analysed the 2021 Dataviz Society State of the Industry Survey to find out the 429 different names, blogs, websites, books, and groups our viz peers consider to be HEADING the data visualisation field (pun intended).

Link to Visualization

Are there coworkers like me?

Created by: Sarina Chen

Third place, explanatory category

Since the pandemic, people have been switching jobs to accommodate their change in routine, living situation, or life priorities. Whether it be in-person or remote, onboarding in a less social environment could feel pretty lonely. It's difficult to meet new people with similar interests. This graphic compares people in the workplace and identifies groups of people that have similar roles, years of experience, and industry.

Link to Visualization

What's Cookin'?

Created by: Sarah Emery Clark

A series of Data Illustrations exploring how education level affects one's career, using meal preparation as a visual metaphor. Being new to Data Viz I was excited to learn more about this community of thinkers, researchers and designers, and to discover what makes them tick. With that in mind, I focused my analysis on attributes that would help me to get a better sense of who’s in DataViz, what their career pathways look like, and their joys and frustrations along the way.

​Link to Visualization

The Data Visualization Society Atlas

Created by: Federico Comitani

A general overview of the DVS community in 2021 and how it changed. The data is presented as a cartographic map, with landmasses representing DVS members who gave similar answers to the survey. Four panels further focus on specific aspects: the level of experience of members is represented as a temperature map, their education is represented as territories, changes observed with respect to the 2020 survey are presented as migration flows; finally, a heatmap illustrates the most common tools and charts.

Link to Visualization

How Do You Spend Your Data Viz Time?

Created by: Sandra Biller

Data visualization is more than the act of making charts. In addition to producing visualizations, time is spent on data preparation, analysis, and coming up with ideas. Then there’s a whole array of other tasks a data visualizer might do - writing code, teaching a class, or participating in the ubiquitous zoom meeting. Use this visualization to explore how different job roles spend their data viz time, and see where you fit in.

Link to Visualization

Knowing the Family

Created by: Mala Deep Upadhaya

A little explanatory and a little exploratory work which tries to find the answer of following questions: Who is the driving force behind the Dataviz community? Where do they live? Who motivates them to keep going? Which industries are they influencing with their expertise? How much time and effort do they invest in data visualization? Do they have DVS membership? and we'd want to meet them.

Link to Visualization

Tools and Charts

Created by: Sanjay Tambe and Nishant Nandardhane

The tools and charts section in the data visualization community survey, we have focused on addressing insights from three primary topics i.e., Technologies, Chart types and Representation mode used to create these visualizations.

Link to Visualization

Data Viz Roles' Salary and Gender Balance

Created by: Verena Schrader

When considering becoming a data visualization designer or switching roles within field, a question that comes into one's mind is how high is the earning potential. This question was the starting point for analyzing the data. Another goal was to evaluate gender balance.


The DVS Survey 2021 data has been used to create the visualization. The first part, the flowing sankey diagram, shows that salaries vary greatly, based on the different roles. The second half shows the percentage of women and men in the respective salary ranges. The amount of diverse data was too small to be shown in the diagram.


The result shows that the salary depends not only on the working field and role, but also on gender. The visualization illustrates that the balance is not yet finished. Although gender equality has made great steps forward in the past few years, one can see that there is still room for improvement.

The fonts and colors used in the diagram are accessibility tested and should also work for people having any kind of color blindness. Furthermore salary information from the survey results were summarized to ranges to make the chart easier to understand.

Link to Visualization

Freelancers and Employees in the Data Visualization Industry

Created by: Kristin Baumann

Wherever you look, data is getting collected in one way or another. Therefore the need to find insights in large data sets and make them easily understandable using visualizations is constantly on the rise. More people are joining the data visualization industry and have to decide how they want to work in it. What are the differences between freelancers and employees?

Link to Visualization

Who Do We Create Data Visualizations For?

Created by: Elie Francis

We asked our members in 2021 to tell us who they created data visualizations for in their organisation or (freelancers) for their clients. The results have been ranked from most-to-least selected audience category - showing both employees in organisations and freelancers. 2021 rankings have also been compared to results from 2020 survey.

Link to Visualization

Do Your Leaders Know Your Worth?

Created by: Kenon Vinson

Results mapped to a Likert scale from the question "To what extent do you agree or disagree: Leadership in your organization has a strong understanding of the value of data visualization" are visualized to reveal the extent to which professionals from different sectors agree or disagree to the statement.

Link to Visualization

Relation of Roles

Created by: William Careri

In the annual Data Visualization Society’s survey, 72% of respondents declared themselves as working either in-house or as a freelancer. Between the two, a wide range of roles appeared. This graphic illustrates the distribution of their respective roles and backgrounds.

Link to Visualization

Show Me The Money

Created by: Matthew Osborne, PhD

Yearly salary is a crucial consideration for anyone considering a career field. The DVS annual census seemed like an excellent data source to explore this aspect of data visualization careers.

This particular graphic explores yearly salary as a function of gender and data visualization experience. While there are a larger number of women with a wealth of data visualization experience, for any experience level below 16-20 years the distribution of female salaries appears to be shifted slightly below that of men.

Link to Visualization

Dataviz Practitioners Toolbox: 5 Years of DVS Survey Data

Created by: Anne-Sophie Pereira De Sá

4.7 is the average number of tools a dataviz practitioner uses according to the 2021 edition of the Data Visualization Society survey. Explore the most used tools and their trends over the 5 past years.

Link to Visualization