Bloomberg’s typeface is based on Helvetica but has a slightly straighter appearance, e.g. The Economist uses different styles from the same commissioned typeface for all text in their visualizations. Fonts: Econ Sans and Econ Sans Condensed. Most data visualizations use sans-serif typefaces - like all charts from The Economist and Bloomberg: The Economist, 2022. – in Datawrapper is possible with a custom theme. Changing the fonts – including size, placement, color, etc. Our free Datawrapper visualizations, for example, use the sans-serif typeface Roboto. They look cleaner and are often easier to skim than serif fonts, especially when it comes to numbers. For data visualizations, sans-serif (”without serifs”) typefaces are most often the better choice. Serif typefaces (like Times New Romanor Georgia) bring you into a reading flow - that’s why they’re great for setting long texts like novels or newspaper articles. This article explains all these options - and shows how ignoring this advice can set your visualization apart from others.Ġ2 Use a font with lining and tabular numbers.Ġ3 Use a font with all the symbols you need.Ġ6 Use neither overly narrow nor overly wide fonts.Ġ8 Use a high-contrast color for most text.Ĭhoosing a font Use sans-serif typefaces. On the web, that means sans-serif, neither overly narrow nor wide, regular (instead of bold or thin) text set in sentence case, in a size that’s big enough to read, and in black or almost black. Easy to read is everything that readers are used to. The short answer: When in doubt, set your text in a font that’s easy to read.

And then they are so many extra ways of adjusting them (uppercase, size, color, …). Many of these typefaces come in different fonts (thin, bold, …). How should the text appear in your data visualizations? The possibilities are endless: There are millions of typefaces out there (Arial, Times New Roman, Lato, …) belonging to different categories (serif, sans-serif, condensed, wide, …).

Guardian egyptian headline font design