What to consider when using text in data visualizations

Link: https://blog.datawrapper.de/text-in-data-visualizations/



Text is maybe the most underrated element in any data visualization. There’s a lot of text in any chart or map — titles, descriptions, notes, sources, bylines, logos, annotations, labels, color keys, tooltips, axis labels — but often, it’s an afterthought in the design process. This article explains how to use text to make your visualizations easier to read and nicer to look at.

Show information where readers need it
01 Label directly
02 Repeat the units your data is measured in
03 Remind people what they’re looking at in tooltips
04 Move the axis ticks where they’re needed
05 Emphasize and explain with annotations

Design for readability
06 Use a font that’s easy to read
07 Lead the eye with font sizes, styles, and colors
08 Limit the number of font sizes in your visualization
09 Don’t center-align your text
10 Don’t make your readers turn their heads
11 Use a text outline

Phrase for readability
12 Use straightforward phrasings
13 Be conversational first and precise later
14 Choose a suitable number format

Author(s): Lisa Charlotte Muth

Publication Date: 28 Sept 2022

Publication Site: Datawrapper

How Drawing Makes Us Better at Data Visualization



Once I’ve selected lots of individual graphs to use, I often need to arrange them together on a page or screen.

For example, if I’m designing an infographic, the one-page summary might involve three, four, or five individual graphs.

Or, if I’m designing a dashboard, the screen might involve three, four, or five individual graphs.

I need to decide which graph should be displayed first, second, or third. Is there a natural sequence?

I also need to decide which graphs “go together.” Is there a natural grouping? A categorization? Similar graphs should be next to each other on the infographic or dashboard.

I use a pen and paper to sketch what that page could look like.

Author(s): Ann K. Emery

Publication Date: 23 February 2021

Publication Site: Depict Data Studio

A Tableau Accessibility Journey – Part I

Link: https://www.datablick.com/blog/2021/2/4/a-tableau-accessibility-journey-part-i



Recently, I came to the realization that 0 of my 58 published data visualizations on my Tableau Public profile provide equal access of their data and storylines for all users, mostly excluding those with disabilities. I have read and studied a lot about developing visuals with care for color blindness, but not so much for blindness itself, or low vision, or users who cannot use a mouse, or many other disabled users. A recent Twitter thread by our colleague Frank Elavsky hits on this topic. It is through these realizations that I decided to join and contribute to the dataviza11y group. A quick plug that we have a great group of people, looking to do some exciting things in this space, so do check out and follow that group and it’s member’s activities if you are interested. A wonderful and recent example is the talk Frank, Sarah Fossheim and Larene Le Gassick presented at Outlier.

Author(s): Chris DeMartini

Publication Date: 8 February 2021

Publication Site: Data Blick