![]() ![]() 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, …).
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