How I created my viz

Data Visualization Society survey – part 2: explanatory analysis (members)

Click on the image to go back to the visualisation

When I was new to #dataviz, seeing only finalised projects by seasoned practitioners used to puzzle me: I always have thousands of questions on the process: how did you get there?
That’s why I document most of my projects, explaining the reasoning, design choices, technical hurdles etc.

Since 2017, the Data Visualization Society launches an annual State of the Industry (SOTI) Survey. The 2021 survey has responses to 60+ questions and was taken by over 2,100 people and the DVS launched a competition to visualise the results into insights. Help us Entries can be submitted in two categories: Exploratory and Explanatory. Here is a summary of my 2nd submission: an explanatory infographics – see my exploratory submission in this blogpost.

The Data Visualization Society 2021 industry survey provides wealth of insights on dataviz practitioners, including its Society members. Here are 3 ways Data Visualization Society members differ from the average dataviz practitioner

How I’ve done it?

I imported the 2021 survey data in data viz tool Tableau and looked at the results of several questions related to demographics, current role tools, challenges and openness to new opportunities, broken down by status of DVS membership.

Once I found the 3 insights I found the most valuable, I designed the overall infographics in Figma (taking into account the colours and shapes of the DVS logo).

My Dataviz Principles

No interactivity: this infographics is static, allowing the reader to focus on the explanations.

Accessibility: conscious that this infographic is mostly a static image and that Tableau’s image description field is limited in size, I added an audio transcript at the bottom.

Design: colours and shapes are of course the ones from the DVS logo! Font is Futura

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