To help your readers with the interpretation, choose an arrow style or alternative that clearly encodes the idea you are trying to express. The options are much more varied than you might have guessed!

#informationdesign

2/2

"Objective visuals" are a myth that lets us avoid responsibility.

The real question isn't "Is this objective?" but "Am I showing people a truthful, impactful message?"

3/3

#dataviz #informationdesign

Every chart is a series of editorial decisions:
- Which data to show (and which to exclude)
- Which chart type to use
- Where the axes start and end
- Which colors to apply
- ...

2/3

They often don't feel comfortable when it comes to creativity and design, but in vector illustration their analytical mindset is a huge bonus. Illustration exercises become small algorithmic puzzles. And the barrier between analytical skills and creative skills is shattered.

4/4

📐 Creating an illustrations is very much like developing an algorithm: which shapes do we need, in what order, and how are they going to interact?

That's why I'm always very passionate when I have the opportunity to teach vector images to researchers or engineers.

3/4

But personally, I like vector images because it's a highly analytical way of creating visuals.
📐 The shapes are mathematically defined. It's all about Bézier curves, control points, curvature radii, and splines.

2/4

Combined with their color blindness simulator, this makes Coolors one of the most valuable color tools for a lot of my projects 💪

3/3

This will help you to quickly check whether your accent color is prominent enough, whether colors are distinguishable enough, and what the overall look and feel of your visual will be.

2/3

Such a complicated topic sometimes requires more out-of-the-box charts. But with careful design choices, even an uncommon chart can become easy to understand!

5/5

This is one of the visuals I created for the book 'Wat als?' by Niel Hens and Christel Faes, which talks about the mathematical models used in monitoring and predicting the spread of Covid.

4/5

⭐ No visual overload - make sure we're telling only 1 story at a time
⭐ Helpful annotations - use arrows and labels to guide people through the visual
⭐ Helpful visual cues - use color and brightness to show what different sections of the chart actually mean

3/5

Does that mean we should never use such a chart? No - but it does mean we have to be very careful how we present it.

2/5

I'm sure there are many more great ones out there... which ones should I add to the list?

And oh - I'm building my own short and snappy newsletter as well. It's a work in progress, but if you want to join, head over to baryon.be/newsletter

5/5

📩 Quantum of Sollazzo, by Guiseppe Sollazzo - a curated set of data and dataviz topics
quantumofsollazzo.com

📩 Dataviz Universe, by Yan Holtz - by one of the absolute masters of our craft
www.yan-holtz.com

4/5

📩 Evergreen Data, by Stephanie Evergreen - a more analytical approach to dataviz
stephanieevergreen.com/newsletter-s...

📩 This Week in Data Viz - if you're a member of the Data Visualization Society
www.datavisualizationsociety.org

3/5

📩 Chartography, by RJ Andrews - one of the more inspirational newsletters out there
www.chartography.net

📩 The Plot, by Evelina Parrou - more in-depth stories on specific topics and projects
www.theplot.media

2/5

Source of the original visual: Recent Advantages and challenges in uncertainty visualization: A survey, by Aasim Kamal et al., Journal of Visualization 24 (2021) p861

8/8

The end result is a content overview that provides structure and insight, rather than feeling cramped and cluttered. Does it take up more space? Yes, but in an article of 30 pages that will hardly matter.

7/8