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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.

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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.

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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.

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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.

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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.

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Why Do We Do Dataviz

Created by: Guillermina Sutter Schneider - Data Scientist

Many many times I have found myself late at night cleaning up some random dataset in order to create a data visualization about it. And I did it just for the enjoyment. Data visualization makes me happy and I could spend hours and hours doing it. From the very first sketch to picking the grain intensity of the canvas background or fixing the drop shadow, I enjoy every single step of it.

I have always wondered how other dataviz practitioners felt while creating a data visualization: do they also do it because they enjoy it? Do they do it to build a portfolio or to build a particular skill? These questions made me want to find out more about how many hours other people spend doing it and why they do it.

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